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10.1038/ng.3406

http://scihub22266oqcxt.onion/10.1038/ng.3406
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C4797329!4797329!26414676
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suck abstract from ncbi


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pmid26414676      Nat+Genet 2015 ; 47 (11): 1236-41
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  • An Atlas of Genetic Correlations across Human Diseases and Traits #MMPMID26414676
  • Bulik-Sullivan B; Finucane HK; Anttila V; Gusev A; Day FR; Loh PR; Duncan L; Perry JR; Patterson N; Robinson EB; Daly MJ; Price AL; Neale BM
  • Nat Genet 2015[Nov]; 47 (11): 1236-41 PMID26414676show ga
  • Identifying genetic correlations between complex traits and diseases can provide useful etiological insights and help prioritize likely causal relationships. The major challenges preventing estimation of genetic correlation from genome-wide association study (GWAS) data with current methods are the lack of availability of individual genotype data and widespread sample overlap among meta-analyses. We circumvent these difficulties by introducing a technique ? cross-trait LD Score regression ? for estimating genetic correlation that requires only GWAS summary statistics and is not biased by sample overlap. We use this method to estimate 276 genetic correlations among 24 traits. The results include genetic correlations between anorexia nervosa and schizophrenia, anorexia and obesity and associations between educational attainment and several diseases. These results highlight the power of genome-wide analyses, since there currently are no significantly associated SNPs for anorexia nervosa and only three for educational attainment.
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