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An atlas of genetic correlations across human diseases and traits

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

Nature genetics, 2015-11, Vol.47 (11), p.1236-1241 [Periódico revisado por pares]

United States: Nature Publishing Group

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An atlas of genetic correlations across human diseases and traits
Autor: Bulik-Sullivan, Brendan ; Finucane, Hilary K ; Anttila, Verneri ; Gusev, Alexander ; Day, Felix R ; Loh, Po-Ru ; Duncan, Laramie ; Perry, John R B ; Patterson, Nick ; Robinson, Elise B ; Daly, Mark J ; Price, Alkes L ; Neale, Benjamin M
Assuntos: Algorithms ; Alzheimers disease ; Anorexia ; Cardiovascular disease ; Computer Simulation ; Consortia ; Coronary vessels ; Disease - genetics ; Disease susceptibility ; Estimates ; Expected values ; Female ; Genetic aspects ; Genetic Association Studies - methods ; Genetic Association Studies - statistics & numerical data ; Genetic Predisposition to Disease - genetics ; Genome-wide association studies ; Genome-Wide Association Study - methods ; Genome-Wide Association Study - statistics & numerical data ; Genomes ; Genotype ; Grants ; Heart attacks ; Heritability ; Humans ; Identification and classification ; Linkage Disequilibrium ; Male ; Methods ; Models, Genetic ; Phenotype ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci - genetics ; Regression Analysis ; Studies
É parte de: Nature genetics, 2015-11, Vol.47 (11), p.1236-1241
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Descrição: 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.
Editor: United States: Nature Publishing Group
Idioma: Inglês

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An atlas of genetic correlations across human diseases and traits

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

United States: Nature Publishing Group

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