An atlas of genetic correlations across human diseases and traits

Brendan Bulik-Sullivan; Hilary K Finucane; Verneri Anttila; Alexander Gusev; Felix R Day; Po-Ru Loh; Laramie Duncan; John R B Perry; Nick Patterson; Elise B Robinson; Mark J Daly; Alkes L Price; Benjamin M Neale; ReproGen Consortium

doi:10.1038/ng.3406

An atlas of genetic correlations across human diseases and traits

Brendan Bulik-Sullivan, Hilary K Finucane, Verneri Anttila, Alexander Gusev, Felix R Day, Po-Ru Loh, Laramie Duncan, John R B Perry, Nick Patterson, Elise B Robinson, Mark J Daly, Alkes L Price, Benjamin M Neale, ReproGen Consortium

2508 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Tidsskrift	Nature Genetics
Vol/bind	47
Udgave nummer	11
Sider (fra-til)	1236-41
Antal sider	6
ISSN	1061-4036
DOI	https://doi.org/10.1038/ng.3406
Status	Udgivet - nov. 2015

Adgang til dokumentet

10.1038/ng.3406

Citationsformater

@article{4daa0901ac144f86a5ca743531ffb99b,

title = "An atlas of genetic correlations across human diseases and traits",

abstract = "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.",

author = "Brendan Bulik-Sullivan and Finucane, {Hilary K} and Verneri Anttila and Alexander Gusev and Day, {Felix R} and Po-Ru Loh and Laramie Duncan and Perry, {John R B} and Nick Patterson and Robinson, {Elise B} and Daly, {Mark J} and Price, {Alkes L} and Neale, {Benjamin M} and {ReproGen Consortium} and Hansen, {Thomas Folkmann} and Werge, {Thomas Mears} and Line Olsen",

year = "2015",

month = nov,

doi = "10.1038/ng.3406",

language = "English",

volume = "47",

pages = "1236--41",

journal = "Nature Genetics",

issn = "1061-4036",

publisher = "Nature Publishing Group",

number = "11",

}

TY - JOUR

T1 - An atlas of genetic correlations across human diseases and traits

AU - Bulik-Sullivan, Brendan

AU - Finucane, Hilary K

AU - Anttila, Verneri

AU - Gusev, Alexander

AU - Day, Felix R

AU - Loh, Po-Ru

AU - Duncan, Laramie

AU - Perry, John R B

AU - Patterson, Nick

AU - Robinson, Elise B

AU - Daly, Mark J

AU - Price, Alkes L

AU - Neale, Benjamin M

AU - ReproGen Consortium

AU - Hansen, Thomas Folkmann

AU - Werge, Thomas Mears

AU - Olsen, Line

PY - 2015/11

Y1 - 2015/11

N2 - 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.

AB - 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.

U2 - 10.1038/ng.3406

DO - 10.1038/ng.3406

M3 - Journal article

C2 - 26414676

SN - 1061-4036

VL - 47

SP - 1236

EP - 1241

JO - Nature Genetics

JF - Nature Genetics

IS - 11

ER -

An atlas of genetic correlations across human diseases and traits

Abstract

Adgang til dokumentet

Fingeraftryk

Citationsformater