{"id":47794,"date":"2014-12-04T20:45:15","date_gmt":"2014-12-05T01:45:15","guid":{"rendered":"http:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/the-african-genome-variation-project-shapes-medical-genetics-in-africa\/"},"modified":"2014-12-04T20:45:15","modified_gmt":"2014-12-05T01:45:15","slug":"the-african-genome-variation-project-shapes-medical-genetics-in-africa","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/transhuman-news-blog\/genome\/the-african-genome-variation-project-shapes-medical-genetics-in-africa\/","title":{"rendered":"The African Genome Variation Project shapes medical genetics in Africa"},"content":{"rendered":"<p><p>    We examined highly differentiated SNPs between European and    African populations, as well as among African populations to    gain insights into loci that may have undergone selection in    response to local adaptive forces (Supplementary    Methods). To account for confounding due to Eurasian    admixture, we also conducted analyses after masking Eurasian    ancestry (Supplementary    Methods and     Supplementary Note 6).  <\/p>\n<p>    On examining locus-specific EuropeAfrica differentiation,    enrichment of loci known to be under positive selection was    observed among the most differentiated sites (P =    1.41031). Furthermore, there was    statistically significant enrichment for gene variants among    these, indicating that this differentiation is unlikely to have    arisen purely from random drift (P = 0.0002).    Additionally, we found no evidence for background selection as    the primary driver of differentiation among these loci    (Supplementary    Note 7).  <\/p>\n<p>    In addition to genes known to be under positive selection (for    example, SLC24A5, SLC45A2 and    OCA219, 20,    LARGE21 and    CYP3A4\/5) (Supplementary    Fig. 3), we found evidence of differentiation in novel gene    regions, including one implicated in malaria (for chemokine    receptor 1, CR1) (Extended Data    Fig. 8). CR1 carries the Knops blood group antigens    and has previously been implicated in malaria    susceptibility22 and    severity23, with evidence    suggesting positive selection in malaria-endemic    regions24 (Extended Data    Fig. 8). We also identified highly differentiated variants    within genes involved in osmoregulation (ATP1A1 and    AQP2) (Extended Data    Fig. 8). Deregulation of AQP2 expression and    loss-of-function mutations in ATP1A1 have been    associated with essential and secondary hypertension,    respectively25, 26. Climatic    adaptive changes in these gene regions could potentially    provide a biological basis for the high burden of hypertension    and differences in salt sensitivity observed in    SSA27.  <\/p>\n<p>    In contrast, overall differentiation among African populations    was modest (maximum masked FST = 0.19)    (Supplementary    Fig. 4) and only 56\/1,237 sites remained in the tail    distribution after masking (Supplementary    Methods,     Supplementary Table 6). This suggests that a large    proportion of differentiation observed among African    populations could be due to Eurasian admixture, rather than    adaptation to selective forces (Supplementary    Note 6). Genes known to be under selection were notably    enriched among the most differentiated loci after masking of    Eurasian ancestry (P =    2.31016). Among the 56 loci robust to    Eurasian ancestry masking (Supplementary    Table 6), we identified several loci known to be under    selection (Extended Data    Fig. 8), including a highly differentiated variant    (rs1378940) in the CSK gene region implicated in    hypertension in genome-wide association studies    (GWAS)28. The major    allele of rs1378940 among Africans was in complete linkage    disequilibrium with the risk allele of the GWAS SNP rs1378942    (ref. 29), with the frequency    of this allele highly correlated with latitude (r =    0.67), providing support for local adaptation in response to    temperature as a possible mechanism for hypertension (Supplementary    Fig. 5)30, 31.  <\/p>\n<p>    Comparing populations residing in endemic and non-endemic    infectious disease regions (Supplementary    Methods), we identified several loci associated with    infectious disease susceptibility and severity. As well as the    known sickle-cell locus related to malaria, this approach    identified additional signals for genes potentially under    selection, including the PKLR region32,    RUNX333, the    haptoglobin locus, CD16334,    IL1035, 36, CFH,    and the CD28-ICOS-CLTA4 locus (Supplementary    Table 7 and Extended Data    Fig. 8)37. Similar    comparisons for Lassa fever identified the known LARGE    gene, as well as candidates associated with viral entry and    immune response, including in the Histocompatibility Leukocyte    Antigen region, DC-SIGN\/DC-SIGNR38 (also known as    CD209\/CLEC4M), RNASEL, CXCR6,    IFIH139 and    OAS2\/3 regions (Supplementary    Table 7). For trypanosomiasis, we identified    APOL140, as well as    several loci implicated in immune response and binding to    trypanosoma, including FAS, FASLG41, 42,    IL23R43,    SIGLEC6 and SIGLEC12 (Supplementary    Table 7)44. For trachoma,    we identified signals in ABCA1 and CXCR6, which    may be important for the growth of the parasite and host immune    response, respectively (Supplementary    Table 7)45, 46.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Continued here:<br \/>\n<a target=\"_blank\" href=\"http:\/\/dx.doi.org\/10.1038\/nature13997\/RK=0\/RS=C1IvzPvbkklbcVTF1JI8IWsgBBE-\" title=\"The African Genome Variation Project shapes medical genetics in Africa\">The African Genome Variation Project shapes medical genetics in Africa<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> We examined highly differentiated SNPs between European and African populations, as well as among African populations to gain insights into loci that may have undergone selection in response to local adaptive forces (Supplementary Methods). To account for confounding due to Eurasian admixture, we also conducted analyses after masking Eurasian ancestry (Supplementary Methods and Supplementary Note 6) <a href=\"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/transhuman-news-blog\/genome\/the-african-genome-variation-project-shapes-medical-genetics-in-africa\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[],"class_list":["post-47794","post","type-post","status-publish","format-standard","hentry","category-genome"],"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/47794"}],"collection":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/comments?post=47794"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/47794\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/media?parent=47794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/categories?post=47794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/tags?post=47794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}