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Phenome-wide heritability analysis of the UK Biobank

Ge, Tian ; Chen, Chia-Yen ; Neale, Benjamin M ; Sabuncu, Mert R ; Smoller, Jordan W Domingue, Benjamin W.

PLoS genetics, 2017-04, Vol.13 (4), p.e1006711-e1006711 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Phenome-wide heritability analysis of the UK Biobank
Autor: Ge, Tian ; Chen, Chia-Yen ; Neale, Benjamin M ; Sabuncu, Mert R ; Smoller, Jordan W
Domingue, Benjamin W.
Assuntos: Adult ; Age ; Aged ; Anatomy ; Bioengineering ; Biological Specimen Banks ; Biology and Life Sciences ; Biotechnology ; Blood pressure ; Blood Pressure - genetics ; Body mass ; Body mass index ; Body size (biology) ; Citation analysis ; Colleges & universities ; Computational efficiency ; Data processing ; Demographic variables ; DNA microarrays ; Environmental factors ; Estimates ; Female ; Fertility ; Formulas (mathematics) ; Gene-Environment Interaction ; Genetic Diseases, Inborn ; Genetic diversity ; Genetic variation ; Genetics ; Genome-Wide Association Study ; Genomes ; Genotyping ; Grants ; Heredity ; Heritability ; Hospitals ; Humans ; Incidence ; Linkage disequilibrium ; Male ; Mathematical models ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Multifactorial traits ; Neuroimaging ; Neurology ; Phenotype ; Phenotypic variations ; Polymorphism, Single Nucleotide - genetics ; Population ; Principal components analysis ; Quantitative Trait, Heritable ; Reviews ; Sex Characteristics ; Single-nucleotide polymorphism ; Skin cancer ; Social Class ; Social Sciences ; Socioeconomic factors ; Statistical analysis ; Statistics ; Studies ; Translation ; Twins ; United Kingdom ; Variance
É parte de: PLoS genetics, 2017-04, Vol.13 (4), p.e1006711-e1006711
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Conceptualization: TG MRS JWS.Data curation: TG JWS.Formal analysis: TG CYC.Funding acquisition: JWS MRS.Methodology: TG CYC MRS JWS.Resources: MRS JWS.Software: TG CYC.Supervision: JWS MRS.Validation: TG.Visualization: TG.Writing – original draft: TG JWS.Writing – review & editing: TG CYC BMN MRS JWS.
The authors have declared that no competing interests exist.
Descrição: Heritability estimation provides important information about the relative contribution of genetic and environmental factors to phenotypic variation, and provides an upper bound for the utility of genetic risk prediction models. Recent technological and statistical advances have enabled the estimation of additive heritability attributable to common genetic variants (SNP heritability) across a broad phenotypic spectrum. Here, we present a computationally and memory efficient heritability estimation method that can handle large sample sizes, and report the SNP heritability for 551 complex traits derived from the interim data release (152,736 subjects) of the large-scale, population-based UK Biobank, comprising both quantitative phenotypes and disease codes. We demonstrate that common genetic variation contributes to a broad array of quantitative traits and human diseases in the UK population, and identify phenotypes whose heritability is moderated by age (e.g., a majority of physical measures including height and body mass index), sex (e.g., blood pressure related traits) and socioeconomic status (education). Our study represents the first comprehensive phenome-wide heritability analysis in the UK Biobank, and underscores the importance of considering population characteristics in interpreting heritability.
Editor: United States: Public Library of Science
Idioma: Inglês

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Phenome-wide heritability analysis of the UK Biobank

Ge, Tian ; Chen, Chia-Yen ; Neale, Benjamin M ; Sabuncu, Mert R ; Smoller, Jordan W Domingue, Benjamin W.

United States: Public Library of Science

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