Transcriptome-wide association studies accounting for colocalization using Egger regression

Author:

Barfield Richard1ORCID,Feng Helian2,Gusev Alexander34,Wu Lang5,Zheng Wei5,Pasaniuc Bogdan678,Kraft Peter2910

Affiliation:

1. Public Health Sciences Division; Fred Hutchinson Cancer Research Center; Seattle Washington

2. Department of Biostatistics; Harvard T.H. Chan School of Public Health; Boston Massachusetts

3. Division of Population Sciences; Dana-Farber Cancer Institute; Boston Massachusetts

4. Division of Genetics; Brigham and Women's Hospital; Boston Massachusetts

5. Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center; Vanderbilt University School of Medicine; Nashville Tennessee

6. Department of Pathology & Laboratory Medicine; David Geffen School of Medicine, University of California; Los Angeles California

7. Bioinformatics Interdepartmental Program; University of California; Los Angeles California

8. Department of Human Genetics, David Geffen School of Medicine; University of California; Los Angeles California

9. Program in Genetic Epidemiology and Statistical Genetics; Harvard T.H. Chan School of Public Health; Boston Massachusetts

10. Department of Epidemiology; Harvard T.H. Chan School of Public Health; Boston Massachusetts

Funder

National Human Genome Research Institute

P.K. was in addition

U.S. National Cancer Institute

Foundation for the National Institutes of Health

Cancer Research UK

Translation Centre for the Bodies of the European Union

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Reference25 articles.

1. MetaXcan: Summary statistics based gene-level association method infers accurate predixcan results;Barbeira;bioRxiv,2016

2. Mendelian randomization with invalid instruments: Effect estimation and bias detection through Egger regression;Bowden;International Journal of Epidemiology,2015

3. Combining information on multiple instrumental variables in Mendelian randomization: Comparison of allele score and summarized data methods;Burgess;Statistics in Medicine,2016

4. Interpreting findings from Mendelian randomization using the MR-Egger method;Burgess;European Journal of Epidemiology,2017

5. The genotype-tissue expression (GTEx) project;Consortium;Nature Genetics,2013

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