An atlas of genetic correlations across human diseases and traits

被引：2456

作者：

Bulik-Sullivan, Brendan ^{[1
,2
,3
,4
]}

Finucane, Hilary K. ^{[5
]}

Anttila, Verneri ^{[1
,2
,3
,4
]}

Gusev, Alexander ^{[6
,7
]}

Day, Felix R. ^{[8
]}

Loh, Po-Ru ^{[1
,6
]}

Duncan, Laramie ^{[1
,2
,3
,4
]}

Perry, John R. B. ^{[8
]}

Patterson, Nick ^{[1
]}

Robinson, Elise B. ^{[1
,2
,3
,4
]}

Daly, Mark J. ^{[1
,2
,3
,4
]}

Price, Alkes L. ^{[1
,6
,7
]}

Neale, Benjamin M. ^{[1
,2
,3
,4
]}

机构：

[1] Broad Inst MIT & Harvard, Program Med & Populat Genet, Cambridge, MA 02142 USA

[2] Broad Inst MIT & Harvard, Stanley Ctr Psychiat Genet, Cambridge, MA USA

[3] Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Boston, MA 02114 USA

[4] Harvard Univ, Sch Med, Boston, MA USA

[5] MIT, Dept Math, Cambridge, MA 02139 USA

[6] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA

[7] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA

[8] Univ Cambridge, Sch Clin Med, Inst Metab Sci, Epidemiol Unit,MRC, Cambridge, England

来源：

NATURE GENETICS | 2015年 / 47卷 / 11期

基金：

英国惠康基金; 英国医学研究理事会; 美国国家卫生研究院;

关键词：

TYPE-2 DIABETES RISK; CARDIOVASCULAR-DISEASE; BIPOLAR DISORDER; COMMON VARIANTS; ALZHEIMERS-DISEASE; DE-NOVO; SCHIZOPHRENIA; AGE; HEIGHT; GWAS;

D O I：

10.1038/ng.3406

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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-level 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 educational attainment and several diseases. These results highlight the power of genome-wide analyses, as there currently are no significantly associated SNPs for anorexia nervosa and only three for educational attainment.

引用

页码：1236 / +

页数：9

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