Joe Raedle\/Getty <\/p>\n
Vast stores of DNA samples and data have been produced by the increasing pace of genetic sequencing. <\/p>\n
Early last year, three researchers set out to create one genetic data set to rule them all. The trio wanted to assemble the worlds most comprehensive catalogue of human genetic variation, a single reference database that would be useful to researchers hunting rare disease-causing genetic variants. <\/p>\n
Unlike past big data projects, which have involved large groups of scientists, this one deliberately kept itself small, deploying just five analysts. Nearly two years in, it has identified about 50million genetic variants points at which one persons DNA differs from anothers in whole-genome sequence data collected by 23other research collaborations. The group, called the Haplotype Reference Consortium, will unveil its database in San Diego, California, on 20October, at the annual meeting of the American Society of Human Genetics. <\/p>\n
Geneticists have not always been so willing to share data. But that seems to be changing. Its been surprisingly easy to bring all these data sets together, says Jonathan Marchini, a statistical geneticist at the University of Oxford, UK, and one of the consortiums leaders. There is a lot of goodwill between the people in the field; they all understand the benefits of doing this and have worked hard to make their data available. <\/p>\n
In the past five years, there has been an explosion in rates of sequencing human genomes thanks to the falling cost of the technology. At the same time, geneticists have realized that linking genes to diseases and traits will require much bigger sample sizes than any one research centre can assemble. <\/p>\n
It was once assumed that common diseases and traits could be traced to a few common genetic variants that would be relatively easy to find. But that has turned out not to be the case. It is now clear that thousands of different variants each play a small part in determining a persons height or risk of schizophrenia, for example. And finding those thousands of variants means looking at a daunting number of people. At the same time, the increased pace of genetic sequencing has made it possible to collect enough genomes to uncover those variants. <\/p>\n
Here are a bunch of data sets that individually cost millions of dollars to generate, and you have people willing to make that data available to a shared resource, which is amazing, says geneticist Daniel MacArthur of Massachusetts General Hospital in Boston. <\/p>\n
MacArthur is part of the Exome Aggregation Consortium, another attempt to create a supersized library of human genetic variation. On 20October, MacArthur and his colleagues plan to unveil their own public database containing the protein-coding portions, or exomes, of 63,000 human genomes originally gathered by other researchers. We can say from looking at a very large cohort of peoplethis is what the distribution of rare variation looks like, says MacArthur. And that is very powerful. <\/p>\n
MacArthur is developing tools to comb the data for mutations that disable genes. Only some of these loss-of-function mutations cause harm; predicting which are pathogenic will require knowing more about which ones regularly occur in healthy people. <\/p>\n
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Giant gene banks take on disease<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Joe Raedle\/Getty Vast stores of DNA samples and data have been produced by the increasing pace of genetic sequencing. Early last year, three researchers set out to create one genetic data set to rule them all. The trio wanted to assemble the worlds most comprehensive catalogue of human genetic variation, a single reference database that would be useful to researchers hunting rare disease-causing genetic variants. Continue reading