VarExp: estimating variance explained by genome-wide GxE summary statistics

Author:

Laville Vincent1ORCID,Bentley Amy R2,Privé Florian13,Zhu Xiaofeng4,Gauderman Jim5,Winkler Thomas W6,Province Mike7,Rao D C8,Aschard Hugues1

Affiliation:

1. Groupe de Génétique Statistique, Département de Génomes and Génétique, C3BI, Institut Pasteur, Paris, France

2. Center for Research on Genomics and Global Health, NHGRI, NIH, Bethesda, MD, USA

3. Laboratoire TIMC-IMAG, UMR 5525, CNRS, Université Grenoble Alpes, Grenoble, France

4. Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA

5. Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA

6. Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany

7. Division of Statistical Genetics, Washington University in St. Louis, St. Louis, MO, USA

8. Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA

Funder

NHLBI

NHGRI

National Human Genome Research Institute in the Center

Research in Genomics and Global Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference6 articles.

1. An integrated map of genetic variation from 1, 092 human genomes;Abecasis;Nature,2012

2. A perspective on interaction effects in genetic association studies;Aschard;Genet. Epidemiol,2016

3. Challenges and opportunities in genome-wide environmental interaction (GWEI) studies;Aschard;Hum. Genet,2012

4. A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics;Pare;Sci. Rep,2016

5. Genotype-covariate interaction effects and the heritability of adult body mass index;Robinson;Nat. Genet,2017

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