Genetics: No Evidence of Role in Racial Mortality Gap

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Newswise There is still no evidence of genetic difference between blacks and whites to account for the health disparities in cardiovascular disease (CVD), according to a new study by McGill University researchers. Published in the American Journal of Epidemiology, the researchers suggest that after a decade of genetic studies, factors such as lifestyle, education and socio-economics - not genetics - are more promising avenues to understanding racial health disparities.

The researchers focused on cardiovascular disease, the largest contributor to the racial mortality gap, and conducted a systematic review for articles published over a seven year period in which genetic data from African and European populations were available. The team found no explanation for racial disease disparities amongst any of the hundreds of genetic variants reported.

After nearly a decade of genome-wide association studies (GWAS), no assessment had yet been made of their contribution toward an explanation of the most prominent racial health disparities observed at the population level, says Jay Kaufman, of the Department of Epidemiology, Biostatistics & Occupational Health in the Faculty of Medicine.

Kaufman and colleagues assessed the reported associations from published genomic studies, The fact that our results show so little stable evidence of genetic explanations for racial disparities in CVD could be attributed to a general failure of GWAS to explain observed disease phenotypes, adds Kaufman.

Despite the enormous social investment in genomic studies, we have not advanced our understanding into disparities in the most common cause of morbidity and mortality between races, says Kaufman, Given this outcome, more research and investment is needed to examine the effects of social and environmental inequalities, such as exposure to unhealthy food and psychosocial stressors. It is possible that the answer may lie in some kind of interaction between genetic factors and these environmental and behavioural differences, but based on current technology, the detection of such interactions is even more challenging.

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This study was supported by the Canada Research Chairs Program.

The Contribution of Genomic Research to Explaining Racial Disparities in Cardiovascular Disease Jay S. Kaufman, Lena Dolman, Dinela Rishani and Richard S. Cooper, American Journal of Epidemiology DOI:10.1093/aje/kwu319

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Genetics: No Evidence of Role in Racial Mortality Gap

Genetic discovery provides clues to how TB may evade the immune system

The largest genetic study of tuberculosis (TB) susceptibility to date has led to a potentially important new insight into how the pathogen manages to evade the immune system. Published today in the journal Nature Genetics, the study advances understanding of the biological mechanisms involved in TB, which may open up new avenues to design efficient vaccines for its prevention.

TB, caused by infection with the pathogen Mycobacterium tuberculosis, is a major global public health problem. According to the World Health Organization, in 2013 nine million people fell ill with TB and 1.5 million died from the disease. Over 95% of TB deaths occur in low- and middle-income countries. About one-third of the world's population has latent TB - in other words, they carry the infection but show no symptoms; only around one in ten of infected individuals develop active TB.

Evidence suggests that an individual's DNA affects their susceptibility to TB, both in terms of becoming infected and whether the disease progresses from latent to active TB. In order to identify genes that predispose people to TB, an international team of researchers carried out a genome-wide association study (GWAS), comparing the genomes of 5,500 TB patients against those of 5,600 healthy controls. In total, the researchers analysed 7.6 million genetic variants.

The team found that variants of the gene ASAP1 on chromosome 8 affect individuals' susceptibility to TB. The gene encodes a protein carrying the same name and is highly expressed - in other words, larger amounts of the protein are found - in a particular type of immune cells known as dendritic cells that play a key role in kick-starting the body's immune response to incoming pathogens.

The researchers showed that infection with M. tuberculosis leads to the reduction of ASAP1 expression in dendritic cells - but people who have a particular genetic variant in the ASAP1 gene associated with greater susceptibility to TB show stronger reduction of ASAP1 expression after infection than people who have a protective variant of this gene.

The researchers found that reducing levels of the ASAP1 protein affects the ability of dendritic cells to move, which explains the mechanism of the previously-known slow migration of dendritic cells infected with M. tuberculosis and may help the pathogen to evade the immune system, leading to TB.

"Our study provides a new insight into biological mechanisms of TB," says Dr Sergey Nejentsev, Wellcome Trust Senior Research Fellow from the Department of Medicine at the University of Cambridge, who led the research. "TB is a major global health problem and the threat of drug-resistance means that we urgently need to develop new ways of fighting back. In future, it may be possible to target immune pathways that involve ASAP1 to design efficient vaccines for TB prevention."

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The study was supported by the Wellcome Trust, EU Framework Programme 7, European Research Council, the Royal Society and the NIHR Cambridge Biomedical Research Centre.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Genetic discovery provides clues to how TB may evade the immune system

Leading National Genetics Foundation to Present Adapted Bikes to Salt Lake City-area Children at Heartwarming "Day of …

SALT LAKE CITY, March 12, 2015 /PRNewswire-USNewswire/ -- The ACMG Foundation for Genetic and Genomic Medicine and genetics professionals from around the world will be on hand to present bicycles to 19 local Salt Lake City-area children from the Shriners Hospitals for Children in Salt Lake City and Wasatch Adaptive Sports of Snowbird, Utah as part of the ACMG's 2015 Annual Clinical Genetics Meeting and Conference in the Salt Palace Convention Center, Exhibit Hall ABC, Friday, March 27 at 10:30 a.m.

The annual ACMG Foundation Day of Caring is sponsored by the ACMG Foundation for Genetic and Genomic Medicine, a prominent non-profit genetics foundation based in Bethesda, Maryland.

"It's supporters like the ACMG Foundation that help set Shriners Hospitals for Children apart, and for that we're truly grateful," said Dawn Wright, Public Relations Manager at Shriners Hospitals for Children, Salt Lake City said. "We go to great lengths to enrich our patients' lives beyond their medical care and equipment and encourage them to live life without limits."

"We would like to thank the ACMG Foundation and their supporters for providing bikes and helmets to children with special needs in our community. We strongly believe in the promotion of independence and well-being through recreation and are excited to see the dream of owning a bike become a reality for our families" said Peter Mandler, Executive Director of Wasatch Adaptive Sports, which is based out of Snowbird, Utah.

"The medical genetics community is dedicated to improving the lives of children and adults with genetic conditions," said Bruce R. Korf, MD, PhD, FACMG, President of the ACMG Foundation. "We are delighted that we can play a role in helping children with genetic conditions in the Salt Lake City area. What better way to demonstrate caring than by supporting children with a special surprise that helps them have some of the same experiences that their peers have."

The ACMG Foundation for Genetic and Genomic Medicine, whose theme is Better Health Through Genetics, supports education, research and a variety of other programs to translate genetic research into better health for all individuals.

The ACMG Foundation 2015 Day of Caring is supported by PerkinElmer, Shire, members of the American College of Medical Genetics and the ACMG Foundation for Genetic and Genomic Medicine.

The ACMG Foundation for Genetic and Genomic Medicine, a 501(c)(3) nonprofit organization, is a community of supporters and contributors who understand the importance of medical genetics in healthcare. Established in 1992, the ACMG Foundation for Genetic and Genomic Medicine supports the American College of Medical Genetics and Genomics; mission to "translate genes into health" by raising funds to attract the next generation of medical geneticists and genetic counselors, to sponsor important research, to promote information about medical genetics, and much more.

To learn more about the important mission and projects of the ACMG Foundation for Genetic and Genomic Medicine and how you too can support this great cause, please visit http://www.acmgfoundation.org or contact us at acmgf@acmgfoundation.org or 301/718-2014.

Media Alert Kathy Beal kbeal@acmg.net 301-238-4582

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Leading National Genetics Foundation to Present Adapted Bikes to Salt Lake City-area Children at Heartwarming "Day of ...

Case Western Reserve scientists find hidden meaning and 'speed limits' within genetic code

Case Western Reserve scientists have discovered that speed matters when it comes to how messenger RNA (mRNA) deciphers critical information within the genetic code -- the complex chain of instructions critical to sustaining life. The investigators' findings, which appear in the March 12 journal Cell, give scientists critical new information in determining how best to engage cells to treat illness -- and, ultimately, keep them from emerging in the first place.

"Our discovery is that the genetic code is more complex than we knew," said senior researcher Jeff Coller, PhD, associate professor, Division of General Medical Sciences, and associate director, The Center for RNA Molecular Biology, Case Western Reserve University School of Medicine. "With this information, researchers can manipulate the genetic code to achieve more predictable outcomes in an exquisite fashion."

The genetic code is a system of instructions embedded within DNA. The code tells a cell how to generate proteins that control cellular functions. mRNA transmits the instructions from DNA to ribosomes. Ribosomes translate the information contained within the mRNA and produce the instructed protein. The genetic code comprises 61 words, called "codons," and a single codon, a sequence of three nucleotides, instructs the ribosome how to build proteins.

The code not only dictates what amino acids are incorporated into proteins, it also tells the cell how fast they should be incorporated. With this information, researchers can manipulate the genetic code to achieve predictable protein levels in an exquisite fashion."

The most significant breakthrough in the Case Western Reserve work is that all of the words, or codons, in the genetic code are deciphered at different rates; some are deciphered rapidly while others are deciphered slowly. The speed of how mRNA decodes its information is the sum of all the codons it contains. This imposed speed limit then ultimately affects the amount of protein produced. Sometimes faster is better to express a high level of protein. Sometimes slower is better to limit the amount protein. Importantly, codons are redundant -- many of these words mean the same thing.

Coller and colleagues found that each of the codons is recognized differently by a ribosome. Some codons are recognized faster than others, but these differences in speed are tiny. Over the entire span of an mRNA, however, each tiny difference in speed is powerfully additive.

"Many codons mean the same thing, but they influence decoding rate differently. Because of this, we can change an mRNA without changing its protein sequence and cause it to be highly expressed or poorly expressed and anywhere in between," he said. "We can literally dial up or down protein levels any way we want now that we know this information."

During their research, investigators measured the mRNA decay rate for every transcript within the cell. They were seeking answers for why different RNAs had different stabilities. With statistical analysis, investigators compared the half-lives of mRNAs to the codons used within these messages. A strong correlation emerged between codon identity and mRNA message stability. They ultimately linked these observations back to the process of mRNA translation.

"mRNA translation and mRNA decay are intimately connected. This can be very beneficial to scientists. If you would like a gene to be expressed really well, you simply change the protein sequence to be derived by all optimal codons. This will both stabilize the mRNA and cause it to be translated more efficiently," Coller said. "If you need an mRNA to express at a low level, you fill it with non-optimal codons. The mRNA will be poorly translated and thus unstable. Evolution has used codon optimization to shape the expression of the proteome. Genes of similar function use similar codons; therefore, they are expressed at similar levels."

His discovery has a variety of practical implications for medicine. From a bioengineering perspective, molecular biology techniques can be applied to manipulate the gene to contain ideal codons and obtain the gene expression pattern that is most beneficial to the application. From a human physiological standpoint, it's possible to learn the speed limit for each and every mRNA and then determine if this changes in specific pathologies such as cancer. Currently, it is unknown whether codons convey different speeds in disease states. A future direction for research will be to link codon speeds to specific illnesses. The potential is also there to develop drugs that can manipulate higher or lower gene expression by changing the decoding rate.

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Case Western Reserve scientists find hidden meaning and 'speed limits' within genetic code

Hidden meaning and 'speed limits' found within genetic code

Case Western Reserve scientists have discovered that speed matters when it comes to how messenger RNA (mRNA) deciphers critical information within the genetic code -- the complex chain of instructions critical to sustaining life. The investigators' findings, which appear in the March 12 journal Cell, give scientists critical new information in determining how best to engage cells to treat illness -- and, ultimately, keep them from emerging in the first place.

"Our discovery is that the genetic code is more complex than we knew," said senior researcher Jeff Coller, PhD, associate professor, Division of General Medical Sciences, and associate director, The Center for RNA Molecular Biology, Case Western Reserve University School of Medicine. "With this information, researchers can manipulate the genetic code to achieve more predictable outcomes in an exquisite fashion."

The genetic code is a system of instructions embedded within DNA. The code tells a cell how to generate proteins that control cellular functions. mRNA transmits the instructions from DNA to ribosomes. Ribosomes translate the information contained within the mRNA and produce the instructed protein. The genetic code comprises 61 words, called "codons," and a single codon, a sequence of three nucleotides, instructs the ribosome how to build proteins.

The code not only dictates what amino acids are incorporated into proteins, it also tells the cell how fast they should be incorporated. With this information, researchers can manipulate the genetic code to achieve predictable protein levels in an exquisite fashion."

The most significant breakthrough in the Case Western Reserve work is that all of the words, or codons, in the genetic code are deciphered at different rates; some are deciphered rapidly while others are deciphered slowly. The speed of how mRNA decodes its information is the sum of all the codons it contains. This imposed speed limit then ultimately affects the amount of protein produced. Sometimes faster is better to express a high level of protein. Sometimes slower is better to limit the amount protein. Importantly, codons are redundant -- many of these words mean the same thing.

Coller and colleagues found that each of the codons is recognized differently by a ribosome. Some codons are recognized faster than others, but these differences in speed are tiny. Over the entire span of an mRNA, however, each tiny difference in speed is powerfully additive.

"Many codons mean the same thing, but they influence decoding rate differently. Because of this, we can change an mRNA without changing its protein sequence and cause it to be highly expressed or poorly expressed and anywhere in between," he said. "We can literally dial up or down protein levels any way we want now that we know this information."

During their research, investigators measured the mRNA decay rate for every transcript within the cell. They were seeking answers for why different RNAs had different stabilities. With statistical analysis, investigators compared the half-lives of mRNAs to the codons used within these messages. A strong correlation emerged between codon identity and mRNA message stability. They ultimately linked these observations back to the process of mRNA translation.

"mRNA translation and mRNA decay are intimately connected. This can be very beneficial to scientists. If you would like a gene to be expressed really well, you simply change the protein sequence to be derived by all optimal codons. This will both stabilize the mRNA and cause it to be translated more efficiently," Coller said. "If you need an mRNA to express at a low level, you fill it with non-optimal codons. The mRNA will be poorly translated and thus unstable. Evolution has used codon optimization to shape the expression of the proteome. Genes of similar function use similar codons; therefore, they are expressed at similar levels."

His discovery has a variety of practical implications for medicine. From a bioengineering perspective, molecular biology techniques can be applied to manipulate the gene to contain ideal codons and obtain the gene expression pattern that is most beneficial to the application. From a human physiological standpoint, it's possible to learn the speed limit for each and every mRNA and then determine if this changes in specific pathologies such as cancer. Currently, it is unknown whether codons convey different speeds in disease states. A future direction for research will be to link codon speeds to specific illnesses. The potential is also there to develop drugs that can manipulate higher or lower gene expression by changing the decoding rate.

Read the original here:

Hidden meaning and 'speed limits' found within genetic code

Case Western Reserve Scientists Discover Hidden Meaning and 'Speed Limits' within the Genetic Code

Contact Information

Available for logged-in reporters only

Newswise Case Western Reserve scientists have discovered that speed matters when it comes to how messenger RNA (mRNA) deciphers critical information within the genetic code the complex chain of instructions critical to sustaining life. The investigators findings, which appear in the March 12 journal Cell, give scientists critical new information in determining how best to engage cells to treat illness and, ultimately, keep them from emerging in the first place.

Our discovery is that the genetic code is more complex than we knew, said senior researcher Jeff Coller, PhD, associate professor, Division of General Medical Sciences, and associate director, The Center for RNA Molecular Biology, Case Western Reserve University School of Medicine. With this information, researchers can manipulate the genetic code to achieve more predictable outcomes in an exquisite fashion.

The genetic code is a system of instructions embedded within DNA. The code tells a cell how to generate proteins that control cellular functions. mRNA transmits the instructions from DNA to ribosomes. Ribosomes translate the information contained within the mRNA and produce the instructed protein. The genetic code comprises 61 words, called codons, and a single codon, a sequence of three nucleotides, instructs the ribosome how to build proteins.

The code not only dictates what amino acids are incorporated into proteins, it also tells the cell how fast they should be incorporated. With this information, researchers can manipulate the genetic code to achieve predictable protein levels in an exquisite fashion.

The most significant breakthrough in the Case Western Reserve work is that all of the words, or codons, in the genetic code are deciphered at different rates; some are deciphered rapidly while others are deciphered slowly. The speed of how mRNA decodes its information is the sum of all the codons it contains. This imposed speed limit then ultimately affects the amount of protein produced. Sometimes faster is better to express a high level of protein. Sometimes slower is better to limit the amount protein. Importantly, codons are redundant many of these words mean the same thing.

Coller and colleagues found that each of the codons is recognized differently by a ribosome. Some codons are recognized faster than others, but these differences in speed are tiny. Over the entire span of an mRNA, however, each tiny difference in speed is powerfully additive.

Many codons mean the same thing, but they influence decoding rate differently. Because of this, we can change an mRNA without changing its protein sequence and cause it to be highly expressed or poorly expressed and anywhere in between, he said. We can literally dial up or down protein levels any way we want now that we know this information.

During their research, investigators measured the mRNA decay rate for every transcript within the cell. They were seeking answers for why different RNAs had different stabilities. With statistical analysis, investigators compared the half-lives of mRNAs to the codons used within these messages. A strong correlation emerged between codon identity and mRNA message stability. They ultimately linked these observations back to the process of mRNA translation.

Originally posted here:

Case Western Reserve Scientists Discover Hidden Meaning and 'Speed Limits' within the Genetic Code

Health secretary praises Newcastle scientists for ‘historic’ DNA breakthrough

Pioneering DNA research set to offer hope to millions of people could also help secure more jobs for Newcastle, health secretary Jeremy Hunt has told the Chronicle.

Mr Hunt was in the city to meet scientists and Tyneside families who have been involved with genetic testing that has been labelled as significant as the development of the internet by Prime Minister David Cameron.

In a medical breakthrough, North East scientists taking part in an unprecedented genome sequencing project have, for the first time in the UK, diagnosed rare diseases in two families after mapping their genes.

The technique, developed at Newcastle University, uses an individuals genetic blueprint to enable doctors to personalise medical care.

It means the Tyneside patients involved can now receive specialised treatment for their conditions, as well as helping prevent future generations who share their DNA from suffering a life of uncertainty.

Mr Hunt was introduced to the families taking part in the 100,000 Genomes Project at the Institute of Genetic Medicine at Newcastle University.

He said: This is historic, a huge amount of hard work into this. Its a very proud day for Newcastle and a very proud day for the NHS.

If you said in 1990 that the world was going to change because of this thing called the internet, people would have looked at you sceptically. David Cameron believes that genetic research is going to have that kind of impact on humanity.

The fact that Newcastle is at the centre of this genetic breakthrough adds to the sense of buzz here and hopefully will secure more jobs.

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Health secretary praises Newcastle scientists for 'historic' DNA breakthrough

Health secretary praises Newcastle scientists for 'historic' DNA breakthrough

Pioneering DNA research set to offer hope to millions of people could also help secure more jobs for Newcastle, health secretary Jeremy Hunt has told the Chronicle.

Mr Hunt was in the city to meet scientists and Tyneside families who have been involved with genetic testing that has been labelled as significant as the development of the internet by Prime Minister David Cameron.

In a medical breakthrough, North East scientists taking part in an unprecedented genome sequencing project have, for the first time in the UK, diagnosed rare diseases in two families after mapping their genes.

The technique, developed at Newcastle University, uses an individuals genetic blueprint to enable doctors to personalise medical care.

It means the Tyneside patients involved can now receive specialised treatment for their conditions, as well as helping prevent future generations who share their DNA from suffering a life of uncertainty.

Mr Hunt was introduced to the families taking part in the 100,000 Genomes Project at the Institute of Genetic Medicine at Newcastle University.

He said: This is historic, a huge amount of hard work into this. Its a very proud day for Newcastle and a very proud day for the NHS.

If you said in 1990 that the world was going to change because of this thing called the internet, people would have looked at you sceptically. David Cameron believes that genetic research is going to have that kind of impact on humanity.

The fact that Newcastle is at the centre of this genetic breakthrough adds to the sense of buzz here and hopefully will secure more jobs.

VIEW GALLERY

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Health secretary praises Newcastle scientists for 'historic' DNA breakthrough

Researchers from Stanford University and 23andMe discover genetic links to rosacea

First ever genome-wide association study on common, incurable skin condition pinpoints 2 genetic variants associated with rosacea

MOUNTAIN VIEW, Calif., March 10, 2015 -- Today marked the publication of the first ever genome-wide association study of rosacea, a common and incurable skin disorder. Led by Dr. Anne Lynn S. Chang of Stanford University's School of Medicine, and co-authored by 23andMe, the study is the first to identify genetic factors for this condition.

Rosacea (pronounced roh-ZAY-sha) is estimated to affect more than 16 million people in the United States alone1. Symptoms typically include redness, visible blood vessels, and pimple-like sores on the skin of the central face, and many experience stinging, burning, or increased sensitivity over the affected skin. Because rosacea affects facial appearance, it can also have a psychological impact on those who suffer from it. In surveys by the National Rosacea Society, more than 76 percent of rosacea patients said their condition had lowered their self-confidence and self-esteem.

To help better understand the genetics of rosacea, researchers at Stanford University and 23andMe studied the data of more than 46,000 23andMe customers* consented for research. The study, published in the Journal of Investigative Dermatology, found two genetic variants strongly associated with the disease among people of European ancestry.

Further, the study uncovered that the genetic variants, or single nucleotide polymorphisms (SNPs), found to be strongly associated with rosacea are in or near the HLA-DRA and BTNL2 genes, which are associated with other diseases, including diabetes and celiac disease.

The genome-wide association study was broken into two parts: discovery and validation. First, data voluntarily submitted by 22,000 23andMe customers was examined. More than 2,600 customers reported having received a rosacea diagnosis from a physician. The remainder of the study participants did not have the condition and were treated as controls. To validate findings from this initial group, 23andMe researchers then tested the identified SNPs with a separate group of 29,000 consented 23andMe customers (3,000 rosacea patients, 26,000 controls). The researchers were able to confirm the same association with rosacea.

"This is another example of how 23andMe can help in researching common yet poorly understood diseases," said Joyce Tung, Ph.D., 23andMe's director of research and a co-author of the paper. "The study also speaks to the power of large data sets in studying and identifying genetic associations."

In addition to the genome-wide association study, the research included obtaining skin biopsies from six individuals with rosacea and showed that both HLA-DRA and BTNL2 proteins can be found in the skin of people with rosacea. This preliminary work hints toward the biological relevance of HLA-DRA and BTNL2 in rosacea.

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Full paper citation and availability: Assessment of the Genetic Basis of Rosacea by Genome-Wide Association Study

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Researchers from Stanford University and 23andMe discover genetic links to rosacea

Genetic risk linked to clinical benefit of statin therapy

Researchers find link between burden of genetic risk factors and reduction of cardiovascular death and heart attacks with statin therapy

Research has demonstrated that the risk for developing coronary heart disease depends on a host of risk factors that are related both to lifestyle and genetics. In a new study from Brigham and Women's Hospital (BWH), Washington University School of Medicine in St. Louis, and Massachusetts General Hospital (MGH), researchers tested whether a composite of genetic variants could identify the risk of cardiovascular death and heart attacks as well as identify individuals who derived greater clinical benefit from statin therapy.

Researchers found that a genetic risk score identified individuals at increased risk for cardiovascular death or a heart attack, both in individuals with and without known coronary disease, with individuals in the highest genetic risk score group having more than a 70 percent increase in the risk of cardiovascular death or a heart attack compared to the lowest risk group. Moreover, the individuals with the highest burden of genetic risk had the largest benefit with statin therapy in terms of reducing the risk of cardiovascular death or heart attacks, with three times the absolute risk reduction seen in the low risk group. These findings are published in the March 3 issue of The Lancet.

"These findings could play an important role in helping physicians understand which patients will benefit the most from statin therapy," said Jessica L. Mega, MD, MPH, first author of the research paper and a cardiologist and Senior Investigator in the TIMI Study Group at BWH.

"Current clinical guidelines base treatment indications, in part, on the estimated 10-year risk of having an event," added Nathan Stitziel, MD, PhD, co-first author of the report and a cardiologist at Washington University in St. Louis. "It is possible that a genetic score such as this one might help refine these risk estimates in the future."

Researchers examined data from 48,421 individuals who experienced 3,477 cardiac events during the study period, and evaluated the association of a genetic risk score, based on 27 known genetic variants, with a first time or repeat cardiac event. After grouping patients by genetic risk, researchers then evaluated the role of statin therapy in reducing the risk of a cardiac event in each group.

They report that those with the lowest genetic risk score had the lowest risk of a first-time or recurring cardiac event, such as heart attack or stroke. In terms of the benefit of statin therapy, researchers observed an increase in both absolute and relative risk reduction across the low, intermediate and high genetic risk categories.

"Over the last five years, we have identified more than two dozen genetic variants that increase risk for heart attack," said Sekar Kathiresan, MD, director of Preventive Cardiology at MGH and co-senior author of the paper. "We wondered if those at highest genetic risk would enjoy the greatest benefit from statin therapy with respect to preventing a first heart attack. This looks to be the case."

"This knowledge will allow us, as cardiologists, to provide more personalized treatment for our patients," said Marc S. Sabatine, MD, MPH, a cardiologist at BWH, chairman of the TIMI Study Group and co-senior author of the paper.

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Genetic risk linked to clinical benefit of statin therapy

Genetic discovery may help determine effectiveness of Huntington's disease treatments

(Boston)--A new genetic discovery in the field of Huntington's disease (HD) could mean a more effective way in determining severity of this neurological disease when using specific treatments. This study may provide insight for treatments that would be effective in slowing down or postponing the death of neurons for people who carry the HD gene mutation, but who do not yet show symptoms of the disease.

The work was led by researchers at Boston University School of Medicine (BUSM) and currently appears in BMC Medical Genomics.

HD is a fatal, inherited neurological disease that usually manifests between 30 and 50 years of age. The disease is caused by a genetic defect that is passed from parent to child in the huntingtin gene. Having too many repeated elements in the gene sequence causes the disease and an increasing number of repeats leads to earlier onset and increased severity of the disease.

The researchers studied the brains of people who died from HD and those who died of other, non-neurological diseases and identified a very specific genetic signal that strongly correlates disease severity and extent of neuronal, or brain cell death. The genetic signal, also called a microRNA, silences certain genes in the DNA. Genes that lead to the toxic effects of the huntingtin gene may be silenced by these microRNAs, in particular the miR-10b-5p microRNA.

"The findings that we found most interesting were the microRNAs that reflect the extent of the neuron death in the brain, since it is this process that causes the debilitating symptoms of the disease and eventually leads to the death of the individual," explained senior author Richard H. Myers, PhD, Director of the Genome Science Institute at BUSM.

According to the researchers these findings may represent a more effective way to tell whether or not HD treatments may be slowing down the pace of the death of brain cells. "If miR-10b-5p measurements can provide a faster and more effective way to determine whether or not a specific treatment is protecting brain neurons, it may be possible to study more potential treatments for HD more quickly. Equally importantly, it may become feasible to perform these trials in people who are HD gene carriers, but who do not yet show symptoms, by giving evidence for which trials may postpone onset and provide more healthy years of life," added Myers.

These findings also suggest that other microRNAs may also be important markers of severity for other neurological diseases such as Parkinson's disease and Alzheimer's disease. Further research is already being conducted in Parkinson's Disease by Myers and his colleagues.

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This research was supported by the Jerry McDonald Huntington Disease Research Fund, the National Institutes of Health and the National Institute of Neurological Disorders and Stroke.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Genetic discovery may help determine effectiveness of Huntington's disease treatments

Order matters: Sequence of genetic mutations determines how cancer behaves

The order in which genetic mutations are acquired determines how an individual cancer behaves, according to research from the University of Cambridge, published today in the New England Journal of Medicine.

Most of the genetic mutations that cause cancer result from environmental 'damage' (for example, through smoking or as a result of over-exposure to sunlight) or from spontaneous errors as cells divide. In a study published today, researchers at the Department of Haematology, the Cambridge Institute for Medical Research and the Wellcome Trust/Medical Research Council Stem Cell Institute show for the first time that the order in which such mutations occur can have an impact on disease severity and response to therapy.

The researchers examined genetically distinct single stem cells taken from patients with myeloproliferative neoplasms (MPNs), a group of bone marrow disorders that are characterised by the over-production of mature blood cells together with an increased risk of both blood clots and leukaemia. These disorders are identified at a much earlier stage than most cancers because the increased number of blood cells is readily detectable in blood counts taken during routine clinical check-ups for completely different problems.

Approximately one in ten of MPN patients carry mutations in both the JAK2 gene and the TET2 gene. By studying these individuals, the research team was able to determine which mutation came first and to study the effect of mutation order on the behaviour of single blood stem cells.

Using samples collected primarily from patients attending Addenbrooke's Hospital, part of the Cambridge University Hospitals, researchers showed that patients who acquire mutations in JAK2 prior to those in TET2 display aberrant blood counts over a decade earlier, are more likely to develop a more severe red blood cell disease subtype, are more likely to suffer a blood clot, and their cells respond differently to drugs that inhibit JAK2.

Dr David Kent, one of the study's lead authors, says: "This surprising finding could help us offer more accurate prognoses to MPN patients based on their mutation order and tailor potential therapies towards them. For example, our results predict that targeted JAK2 therapy would be more effective in patients with one mutation order but not the other."

Professor Tony Green, who led the study, adds: "This is the first time that mutation order has been shown to affect any cancer, and it is likely that this phenomenon occurs in many types of malignancy. These results show how study of the MPNs provides unparalleled access to the earliest stages of tumour development (inaccessible in other cancers, which usually cannot be detected until many mutations have accumulated). This should give us powerful insights into the origins of cancer."

Work in the Green Lab is supported in party by Leukaemia and Lymphoma Research and Cancer Research UK.

Dr Matt Kaiser, Head of Research at Leukaemia & Lymphoma Research, said: "We are becoming more and more aware that a cancer's genetic signature can vary from patient to patient, and we are becoming better at personalising treatment to match this. The discovery that the order in which genetic errors occur can have such a big impact on cancer progression adds an important extra layer of complexity that will help tailor treatment for patients with MPNs. The technology to do this sort of study has been available only recently and it shows once again how pioneering research into blood cancers can reveal fundamental insights into cancer in general."

Dr ine McCarthy, Science Information Officer at Cancer Research UK, says: "The methods used in this pioneering research could help improve our understanding of how cancer cells develop mutations and when they do so. This interesting study suggests that the order in which genetic faults appear can affect how patients respond to different drugs - this insight could help doctors personalise treatment to make it more effective for each patient."

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Order matters: Sequence of genetic mutations determines how cancer behaves

Big Precision Medicine Plan Raises Patient Privacy Concerns

White Houses move to develop customized care prompts worries about data security and informed consent

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A new effort to create tailor-made medicine for patients around the U.S. is getting a boost from a $215-million presidential initiative. Its an ambitious undertaking fraught with concerns about patient privacy, funding and how such data would be stored. But because its such an innovative idea, there are few blueprints to work with. The broad federal effort, first announced during Pres. Barack Obamas State of the Union address and then fleshed out with a few more details and a presidential East Room address last week, would create a personal health care information database of more than a million individuals. In addition to patient histories the endeavor would include genetic data and information from devices like wearable health monitors, and the collection of bacteria, fungi and viruses in and on the body called the microbiome. Armed with reams of such data scientists hope they could one day offer more personalized medical care, or precision medicine, that would differ from person to person based on their unique genetic makeups and other factors. The end result of the initiative, according to Obama, will be delivering the right medicine at the right time every time to the right person. Moreover, as the president envisions it, patients would also be able to access their own data. Rather than start culling data from scratch, however, the effort aims to tap existing info on patients in clinical trials and incorporate it into the new massive effort. And thats where it gets complicated, says Kristen McCaleb, program manager of the Genomic Medicine Initiative at the University of California, San Francisco. Scientists often disagree on the importance or meaning of particular genetic variants for disease. When a sick patient agrees to get his DNA analyzed it triggers a string of decision-making. A doctor may tell the lab to only seek results about specific genes. And once the genome is sequenced, another expert makes a judgment callruling if a mutated gene identified by the sequencer is risky or not. Certain mutations, such as variants of the BRCA1 gene linked to breast cancer, are clearly defined. The significance of many others, however, remains muddier, so two scientists looking at the same list of more than 30,000 genetic variants for each person may have varying opinions about whether or not those genetic mutations are strongly linked to disease or worth exploring further. That ambiguity, McCaleb says, could spell trouble for the presidents precision medicine initiative. If they plan on incorporating all 30,000 variants coming from one million people, somebody better have a gigantic, honking-fast supercomputer capable of capturing all that raw data, she says, because otherwise investigators would be relying on a series of relatively subjective interpretations of that information, making it cumbersome to work with. As excited as we are that Pres. Obama has made this a priority, there are a lot of logistics to be worked out here, she says. Robert Green, the director of a genome research program, G2P, at Brigham and Womens Hospital in Boston, says that a raw data set from a single genome takes roughly 100 gigabytes of storage. So all that data will also pose a computational challenge. When his team collected 800 genomes for a large Alzheimers study, the only way they could practically share the data, other than sending it around on hard drives as they do now, he says, would be to put it on a giant server in the cloud and then researchers could log in to access the server remotely and use analytic tools to explore the massive data set.* Thats the only way you could access 800 genomes, much less 10,000 or a million, he says. Naturally, this gives rise to privacy concerns. When information from one million people is brought together, it would make an attractive target for a hacker working to link the data back to individuals. Such a breach could rob both patients and their families of their privacy. Data for research are typically scrubbed of identifying factors like a patients name and birth date, but someone with enough information about an individuals family tree may be able to connect some dots. Such data privacy concerns already have a track record of scaring away a segment of potential research subjects. When people agree to be part of an academic study they sign a consent form that says they consent to have their data used in specific ways. Green, for example, heads up a whole genome-sequencing project geared toward incorporating genetic data into clinical medicine. To that end, his team has sequenced the genomes of more than 100 people who agreed to have their personal data shared with large government databases as well as Greens own biobank. Thats good news for the White Houses precision medicine initiative, says Green, who would like his data sets to be folded into the effort. But getting people to sign on after they learned all the ways their data could be used did prove challenging, he says. About 25 percent of research participants that bowed out during the consent processwhen they were in the office and talking in personcited fear of health insurance discrimination as the primary reason, he says. Still other projects, like U.C. San Franciscos, would have to go through an entirely new consent process as well as the time-consuming and expensive effort of recontacting patients. Their patients, McCaleb says, did not sign up to be part of larger databases like this one. And exactly who would pay for the staff time to do that remains unclear. Moreover, with different data sources coming togethersay U.C. San Franciscos genome sequencing alongside comprehensive patient histories from the long-standing Framingham Heart Studydifferent questions were asked and the data were organized quite differently, which, in turn, raises questions about the margin of error on the info when its all mashed together, she says. Francis Collins, director of the National Institutes of Health, says that a board will be formed to advise on issues such as privacy and data reliability and to decide who will oversee the initiative and its details. Federal agencies, if awarded the $215 million outlined in the president's 2016 budget request, would be tasked with creating an easily accessible database with needed privacy protections and streamlining the regulatory approval process for the instruments that would help scientists find the data. Moreover, patient advocates and privacy experts will be at the table, Obama said in his public remarks on January 30. They wont be on the sidelines, it wont be an afterthought and we will protect patients in a responsible way, he said. Further details of the proposal, whenever they are released, could help patients decide how protected they should feel.

*Clarification (2/3/14): This sentence was edited after posting to more precisely describe how data from the large Alzheimer's study is currently shared.

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Be Wary of Websites Selling Genetic Cancer Tests: Study

THURSDAY, March 5, 2015 (HealthDay News) -- Websites that offer personalized genetic cancer tests tend to overstate their supposed benefits and downplay their limitations, a new study says.

And many sites offer tests that have not been proven to be useful in guiding cancer treatment, according to the Dana-Farber Cancer Institute team that analyzed 55 such websites.

"We wanted to see if consumers are getting a balanced picture of benefits and limitations of these services," said study first author Dr. Stacy Gray in an institute news release. She is a medical oncologist and investigator at the Dana-Farber Center for Outcomes and Policy Research in Boston.

"We found a lot of variation. Some of the information is good, but all of it needs to be looked at critically by consumers and health care providers," she said.

In general, "the benefits of these personalized cancer products are reported much more frequently than are the limitations," Gray said.

The researchers also found that 88 percent of the websites offered one or more "nonstandard" tests that lacked evidence of having value in routine cancer care.

The study was published March 5 in the Journal of the National Cancer Institute.

Some sites marketed tests of a tumor's genetic characteristics, while others analyzed a patient's personal genome, or gene profile, looking for altered genes that might raise a healthy person's risk of developing cancer.

Claims and other information on websites are not regulated by agencies such as the U.S. Food and Drug Administration or the Federal Trade Commission, the researchers noted. Recently, the FDA said it intends to start regulating genetic testing more broadly.

Even if genetic testing websites become regulated, cancer specialists "will need to guide patients as they navigate decisions about personalized cancer medicine," the study authors wrote.

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Be Wary of Websites Selling Genetic Cancer Tests: Study

Sun damage causes genetic changes that predispose children and adolescents to melanoma

The St. Jude Children's Research Hospital -- Washington University Pediatric Cancer Genome Project found that melanoma in some adolescent and adult patients involves many of the same genetic alterations and would likely respond to the same therapy. The research appears in the March issue of the Journal of Investigational Dermatology.

The similarities involved adolescents with conventional melanoma tumors and included the first genetic evidence that sun damage contributes to melanoma in children and adolescents as well as adults. The findings stem from the most comprehensive analysis yet of the genetic alterations responsible for pediatric melanoma, which is the most common skin cancer in children and adolescents.

"This study shows that unlike many cancers, conventional melanoma is essentially the same disease in children and adults. That means we need to make it easier for adolescents to access promising therapeutic agents being tried in adults," said co-corresponding author Alberto Pappo, M.D., a member of the St. Jude Department of Oncology. "These results also underscore the importance of starting sun protection early and making it a habit for life."

Researchers also identified distinct genetic alterations associated with other pediatric melanoma subtypes, including those associated with large congenital nevi (CNM) and spitzoid tumors. The alterations include a mutation that might help identify spitzoid patients who would benefit from aggressive therapy as well as those who could be cured with less intensive treatment.

"Until now the genetic basis of pediatric melanoma has been a bit of a mystery," said co-corresponding author Armita Bahrami, M.D., an assistant member of the St. Jude Department of Pathology. "With this study, we have established the molecular signatures of the three subtypes of this cancer, signatures that have implications for diagnosis and treatment."

The National Cancer Institute (NCI) estimates that melanoma is diagnosed in 425 U.S. residents age 19 and younger each year. While the cancer remains rare in young people, the incidence has risen about 2 percent annually in recent decades, primarily in those ages 15 to 19. That age group makes up the majority of current pediatric melanoma patients. For the 75 percent of pediatric patients whose disease has not spread, long-term survival rates now exceed 90 percent.

"We were surprised to see that so many of the pediatric melanomas had genetic changes linked to UV damage," said co-author Richard K. Wilson, Ph.D., director of The Genome Institute at Washington University School of Medicine in St. Louis. "This in-depth look at the genomics of pediatric melanoma is extraordinarily important for diagnosis and for selecting treatments that give young patients the best chances of a cure."

This study included 23 melanoma patients ranging in age from 9 months to 19 years old. Researchers used whole genome sequencing and other techniques to compare the normal and tumor genomes of patients with three different types of melanoma for clues about the genetic alterations that underlie their disease. The genome is the blueprint for life that is encoded in the DNA found in almost every cell.

The group included 15 patients with conventional melanoma. Unlike many pediatric cancers, their tumors included numerous genetic alterations, more than any of the childhood cancers studied so far by the Pediatric Cancer Genome Project. More than 90 percent of the tumors had genetic changes consistent with damage caused by ultraviolet light. More than 60 percent of the tumors had mutations in the BRAF oncogene, the PTEN tumor suppressor gene or the promoter region of a gene called TERT. The same alterations are found in melanoma in adults and promoted the unchecked cell division and other changes that are hallmarks of cancer.

In contrast to conventional melanoma, the three patients with the CNM subtype had mutations in the NRAS oncogene and no defects in PTEN. The patients all died of their disease.

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Sun damage causes genetic changes that predispose children and adolescents to melanoma

Genome Studies: Personalised Medicine around the Corner?

US President Barack Obama is proposing to spend $215 million on a precision medicine initiative, whose centrepiece will be a national study drawing on the health records and DNA of one million volunteers.

The term precision medicine refers to treatments tailored to a persons genetic profile, an idea which is already transforming the way doctors fight cancer and some rare diseases. When treating cancer, for example, doctors can nowadays assess any molecular abnormalities in the cancerous cells so that they can apply the appropriate treatment. Some types of abnormalities may be found in different types of cancer, and patients with these conditions will be given the same treatment. Studying a set of molecular abnormalities in a patient in order to prescribe a unique, personalised treatment for his/her condition appears to be the future of medicine and this means that going forward treatment will be based on peoples individual genetic maps

Barack Obama has recently put forward a funding initiative to support precision medicine with a view to developing technology that has to date been under-exploited. The aim is to change the old one-size-fits-all approach, as Jo Handelsman, associate director for science at the White House Office of Science and Technology Policy, puts it, and to move towards personalised medicine using information from the human genome. Under the Federal funding proposal, $130 million will go to the National Institutes of Health (NIH) for development of a voluntary national research cohort of a million or more volunteers to propel our understanding of health and disease and set the foundation for a new way of doing research through engaged participants and open, responsible data sharing, says the White House factsheet. This will be the largest genome study ever carried out at country level, and should open up amazing opportunities for the advance of science.

In the 1970s, the noted French biologistJacques Monod, regarded as one of the fathers of modern molecular biology, opined that the scale of DNA was too vast for scientists ever to be able to modify the human genome. Just six years later, the first genetic manipulations were being carried out. As recently as 1990, there was general consensus among genetic scientists that human DNA would never be sequenced, yet this feat had been achieved by 2003. Enormous progress has also been made in reducing the cost of human genome sequencing, which has fallen from $3 billion to just $1000 per person! In fact so mainstream has DNA sequencing become that the company ranked by MIT in 2014 as the smartest in the world was Illumina, a San Diego, California-based firm that develops, manufactures and markets integrated systems for the analysis of genetic variation and biological function. Today the main focus of investment in digital health is onBig Data and analytics.

Some companies are now even specialising in combating ageing, including California startupHuman Longevity Inc., a genomics and cell therapy-based diagnostic and therapeutic company whose stated goal is to tackle the diseases associated with age-related human biological decline. The web giants are also muscling into this field. Google is out in front via its R&D biotech firm California Life Company (Calico) on an amazingly ambitious mission to vanquish death, as CEO Larry Page put it. Clearly the White House is aware of the huge opportunities in this sector, hence the Presidents intention to channel Federal dollars into the search for DNA-based treatments.

Jo Handelsman predicts that significant scientific progress will result from studying the genome in a large number of people and merging this information with data from other ongoing studies. In fact she believes it will be a major step forward in how we see medicine. Some $130 million of the budget proposed by Barack Obama will be allocated to the NIH to fund the huge volunteer genome study. Another outcome of the initiative is that patients will be able to obtain lots of genetic information about themselves. We arent just talking about research but also about patients access to their own data, so they can participate fully in decisions about their health that affect them, underlined the director of the White House Office of Science and Technology Policy, John Holdren. The proposal also earmarks $70 million for DNA-driven research on cancer and another $10 million for related certification work by the US Food and Drug Administration.

NIH director Francis Collins underlined that the United States is not looking to create a single bio-bank. Instead, the project will seek to combine data from among over 200 large ongoing American health studies, which jointly together involve at least two million people. The challenge of this initiative is to link those together. Its more a distributed approach than centralised, he explained. Meanwhile, in the search for data, NIH officials have met in recent weeks with administrators from the Veterans Health Administration, whose ongoingMillion Veteran Program has already collected DNA samples from 343,000 former soldiers. Obama also wants to allocate grants to private sector technology firms, and Illumina is likely to be an early beneficiary. As the famous work La mort de la mort (The Demise of Death) by French surgeon DrLaurent Alexandre points out, progress in the field of medicine in the 21st century is in the process of delivering a scientific revolution on an unprecedented scale.

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Genome Studies: Personalised Medicine around the Corner?

Genetically speaking, mammals are more like dad

You might resemble or act more like your mother, but a novel research study from UNC School of Medicine researchers reveals that mammals are genetically more like their dads. Specifically, the research shows that although we inherit equal amounts of genetic mutations from our parents the mutations that make us who we are and not some other person we actually use more of the DNA that we inherit from our dads.

The research, published in the journal Nature Genetics, has wide implications for the study of human disease, especially when using mammalian research models. For instance, in many mouse models created for the study of gene expression related to disease, researchers typically dont take into account whether specific genetic expression originates from mothers or fathers. But the UNC research shows that inheriting a mutation has different consequences in mammals, depending on whether the genetic variant is inherited from the mother or father.

This is an exceptional new research finding that opens the door to an entirely new area of exploration in human genetics, said Fernando Pardo-Manuel de Villena, PhD, professor of genetics and senior author of the paper. Weve known that there are 95 genes that are subject to this parent-of-origin effect. Theyre called imprinted genes, and they can play roles in diseases, depending on whether the genetic mutation came from the father or the mother. Now weve found that in addition to them, there are thousands of other genes that have a novel parent-of-origin effect.

These genetic mutations that are handed down from parents show up in many common but complex diseases that involve many genes, such as type-2 diabetes, heart disease, schizophrenia, obesity, and cancers. Studying them in genetically diverse mouse models that take parent-of-origin into account will give scientists more precise insights into the underlying causes of disease and the creation of therapeutics or other interventions.

The key to this research is the Collaborative Cross the most genetically diverse mouse population in the world, which is generated, housed, and distributed from UNC. Traditional lab mice are much more limited in their genetic diversity, and so they have limited use in studies that try to home in on important aspects of diseases in humans. The Collaborative Cross bred together various wild type mice to create wide diversity in the mouse genome. Pardo-Manuel de Villena said that this diversity is comparable to the variation found in the human genome. This helps scientists study diseases that involve various levels of genetic expression across many different genes.

Gene expression connects DNA to proteins, which then carry out various functions inside cells. This process is crucial for proper human health. Mutations that alter gene expression are called regulatory mutations.

This type of genetic variation is probably the most important contributor not to simple Mendelian diseases where theres just one gene mutation [such as cystic fibrosis] but to much more common and complex diseases, such as diabetes, heart disease, neurological conditions, and a host of others, Pardo-Manuel de Villena said. These diseases are driven by gene expression, not of one gene but of hundreds or thousands of genes.

The Collaborative Cross and the expertise we have at UNC allow us to look at different gene expression for every gene in the genome of every kind of tissue, said Pardo-Manuel de Villena, who directs the Collaborative Cross.

Source: sciencedaily.com

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Genetically speaking, mammals are more like dad

Study Shows Who Benefits Most From Statins

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Newswise New research suggests that widely used statin therapy provides the most benefit to patients with the highest genetic risk of heart attack. Using a relatively straightforward genetic analysis, the researchers assessed heart attack risk independently of traditional risk factors such as age, sex, so-called good and bad cholesterol levels, smoking history, family history and whether the patient has diabetes.

Patients in intermediate and low-risk categories still benefit from statin therapy, but that benefit is progressively smaller because theyre starting at lower baseline risk, according to the investigators.

The research, from Washington University School of Medicine in St. Louis, Brigham and Womens Hospital, Massachusetts General Hospital and Harvard Medical School appears March 4 in The Lancet.

For patients at risk of heart disease, doctors routinely prescribe statins, known for their cholesterol-lowering effect. In 2013, the American College of Cardiology and the American Heart Association changed the guidelines for statin therapy, dramatically increasing the number of patients recommended to take it. The move has stirred debate over whether these drugs are overused, especially in light of increasing health-care costs.

There is ongoing debate over which individuals should be allocated statin therapy to prevent a first heart attack, said co-first author Nathan O. Stitziel, MD, a Washington University cardiologist and human geneticist. Some have said we should be treating more people, while others say we need to treat fewer. As an example of precision medicine, another approach is to identify people at high risk and preferentially prescribe statin therapy to those individuals. Genetics appears to be one way to identify high-risk patients.

Stitziel noted that this genetic analysis is not available to patients right now. More research is needed to validate the findings before such a test could be developed for clinical use.

Using statistical methods to combine data on 49,000 people enrolled in five studies, the researchers reported that individuals in the high-risk category have a 70 percent higher risk of heart attacks compared with those at lowest genetic risk. They went on to show that statin therapy results in a 13 percent reduction in risk in the low genetic-risk group, a 29 percent reduction in the intermediate group and a 48 percent reduction in the high-risk group.

Stitziel said the new results differ from past research that consistently has shown statins provide about the same relative risk reduction 30-45 percent depending on dose across all categories of patients.

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Study Shows Who Benefits Most From Statins

Proove Biosciences Launches CME Accredited Program with Medscape

Irvine, CA (PRWEB) March 04, 2015

Proove Biosciences, a commercial and research leader in Personalized Medicine, is excited to announce the launch of their CME-accredited course entitled Incorporating Genetic Testing to Optimize the Management of Pain.

The continuing medical education program will be available at Medscape.com for the next year. The focus of the program is to teach medical professionals how to recognize inadequate pain treatments, integrate appropriate pain management techniques, and incorporate genetic testing into the management plan for treating pain (with a focus on the use and understanding of pharmacogenetics for individual patients).

It is estimated that 116 million American adults suffer from chronic pain, more than those affected by heart disease, cancer, and diabetes combined. Yet despite its prevalence, chronic pain is often under-recognized and under-treated.

"Pain management involves a series of critical considerations to be made by treatment providers: the accurate assessment and diagnosis of pain, the assignment of an appropriate treatment plan, the screening of patients for contraindications, and optimization of the selection, dosage, and frequency of medications. These evaluations are difficult to make accurately due to the large variability and subjectivity innate in such assessments. However, emerging data demonstrates the importance of pharmacogenetics in tailoring clinical decisions and targeting treatment plans towards individual variability, states Svetlana Kantorovich, Ph.D., Director of Clinical & Scientific Affairs at Proove Biosciences. "Despite the fact that pain and addiction have known genetic components, genetic testing is not part of the standard of care."

Proove Biosciences proprietary genetic testing can provide physicians with information to objectively identify responders versus non-responders to specific medications, improve medication efficacy, and avoid adverse drug events. Importantly, the objective screening of patients at risk for opioid abuse and misuse is of paramount importance due to skyrocketing healthcare costs and emergency department visits resulting from nonmedical use of prescription opioids.

About Proove Biosciences Our Mission is to Change the Future of Medicine. Proove is the proof to improve healthcare decisions. We seek to realize a future when clinicians look back and wonder how they couldve ever prescribed medications without knowing how a patient would respond. With offices in Southern California and the Baltimore-Washington metropolitan area, the Company is the research leader investigating and publishing data on the genetics of personalized pain medicine with clinical research sites across the United States. Physicians use Proove Biosciences testing to improve outcomes both safety and efficacy of medical treatment. From a simple cheek swab collected in the office, Proove performs proprietary genetic tests in its CLIA-certified laboratory to identify patients at risk for misuse of prescription pain medications and evaluate their metabolism of medications. For more information, please visit http://www.proove.com or call toll free 855-PROOVE-BIO (855-776-6832).

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Proove Biosciences Launches CME Accredited Program with Medscape

Genetically Speaking, Mammals Are More Like Their Fathers

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Newswise CHAPEL HILL, NC You might resemble or act more like your mother, but a novel research study from UNC School of Medicine researchers reveals that mammals are genetically more like their dads. Specifically, the research shows that although we inherit equal amounts of genetic mutations from our parents the mutations that make us who we are and not some other person we actually use more of the DNA that we inherit from our dads.

The research, published in the journal Nature Genetics, has wide implications for the study of human disease, especially when using mammalian research models. For instance, in many mouse models created for the study of gene expression related to disease, researchers typically dont take into account whether specific genetic expression originates from mothers or fathers. But the UNC research shows that inheriting a mutation has different consequences in mammals, depending on whether the genetic variant is inherited from the mother or father.

This is an exceptional new research finding that opens the door to an entirely new area of exploration in human genetics, said Fernando Pardo-Manuel de Villena, PhD, professor of genetics and senior author of the paper. Weve known that there are 95 genes that are subject to this parent-of-origin effect. Theyre called imprinted genes, and they can play roles in diseases, depending on whether the genetic mutation came from the father or the mother. Now weve found that in addition to them, there are thousands of other genes that have a novel parent-of-origin effect.

These genetic mutations that are handed down from parents show up in many common but complex diseases that involve many genes, such as type-2 diabetes, heart disease, schizophrenia, obesity, and cancers. Studying them in genetically diverse mouse models that take parent-of-origin into account will give scientists more precise insights into the underlying causes of disease and the creation of therapeutics or other interventions.

The key to this research is the Collaborative Cross the most genetically diverse mouse population in the world, which is generated, housed, and distributed from UNC. Traditional lab mice are much more limited in their genetic diversity, and so they have limited use in studies that try to home in on important aspects of diseases in humans. The Collaborative Cross bred together various wild type mice to create wide diversity in the mouse genome. Pardo-Manuel de Villena said that this diversity is comparable to the variation found in the human genome. This helps scientists study diseases that involve various levels of genetic expression across many different genes.

Gene expression connects DNA to proteins, which then carry out various functions inside cells. This process is crucial for proper human health. Mutations that alter gene expression are called regulatory mutations.

This type of genetic variation is probably the most important contributor not to simple Mendelian diseases where theres just one gene mutation [such as cystic fibrosis] but to much more common and complex diseases, such as diabetes, heart disease, neurological conditions, and a host of others, Pardo-Manuel de Villena said. These diseases are driven by gene expression, not of one gene but of hundreds or thousands of genes.

The Collaborative Cross and the expertise we have at UNC allow us to look at different gene expression for every gene in the genome of every kind of tissue, said Pardo-Manuel de Villena, who directs the Collaborative Cross.

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Genetically Speaking, Mammals Are More Like Their Fathers