A Multi-tissue Transcriptome Analysis of Human Metabolites Guides Interpretability of Associations Based on Multi-SNP Models for Gene Expression-Reference-Cited by-同舟云学术

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A Multi-tissue Transcriptome Analysis of Human Metabolites Guides Interpretability of Associations Based on Multi-SNP Models for Gene Expression

Published:2020-02 Issue:2 Volume:106 Page:188-201
ISSN:0002-9297
Container-title:The American Journal of Human Genetics
language:en
Short-container-title:The American Journal of Human Genetics

Author:

Ndungu Anne^ORCID,Payne Anthony,Torres Jason M.,van de Bunt Martijn,McCarthy Mark I.

Funder

Wellcome

National Institute of Diabetes and Digestive and Kidney Diseases

NIDDK

NIHR

Rhodes Trust

Natural Sciences and Engineering Research Council of Canada

Canadian Centennial Scholarship Fund

Novo Nordisk

University of Oxford

Oxford Biomedical Research Computing

BMRC

Wellcome Centre for Human Genetics

Big Data Institute

Health Data Research UK

NIHR Oxford Biomedical Research Centre

Publisher

Elsevier BV

Subject

Genetics (clinical),Genetics

Reference40 articles.

1. Five years of GWAS discovery;Visscher;Am. J. Hum. Genet.,2012

2. Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS;Nicolae;PLoS Genet.,2010

3. DNase I sensitivity QTLs are a major determinant of human expression variation;Degner;Nature,2012

4. Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture;Davis;PLoS Genet.,2013

5. Integrative approaches for large-scale transcriptome-wide association studies;Gusev;Nat. Genet.,2016

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