Author

Michael Bennett

National Bureau of Economic ResearchORCID 0000-0002-0446-1029Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Michael Bennett1 paper · UK Centre for Ecology & Hydrology

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Alexander I. YoungiD· 2 shared Aysu OkbayiD· 2 shared Daniel Jacob BenjaminiD· 2 shared David A. CesariniiD· 2 shared Elliot M. Tucker–DrobiD· 2 shared Hariharan Jayashankar· 2 shared Matt K. McGueiD· 2 shared Patrick TurleyiD· 2 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alexander I. YoungORCID

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2 papers

Recent·Most cited

Family-GWAS reveals effects of environment and mating on genetic associations

Tammy Tan, Hariharan Jayashankar, Junming Guan, Seyed Moeen Nehzati, Mahdi Mir, Michael Bennett, Esben Agerbo, Rafael Ahlskog, Ville Anapaz, Stefania Benónísdóttir, Dorret Irene Boomsma, Archie I Campbell, Christopher F. Chabris, Zhengming Chen, China Kadoorie Biobank Collaborative Group, , Alexander I. Young

Family-based GWAS meta-analysis of 34 phenotypes shows standard GWAS effects carry sizeable confounding uncorrelated with direct genetic effects, while assortative mating likely inflates SNP heritability and genetic correlations.

medRxiv · Oct 1, 2024 · PreprintGenetic & Genomic Medicine✦ In-depth digest

Resource Profile and User Guide of the Polygenic Index Repository

Joël Becker, Casper A.P. Burik, Grant Goldman, Nancy Wang, Hariharan Jayashankar, Michael Bennett, Daniel W. Belsky, Richard Karlsson Linnér, Rafael Ahlskog, Aaron Kleinman, David A. Hinds, Michelle Agee, Babak Alipanahi, Adam Auton, Robert K. Bell, , Aysu Okbay

The paper constructs polygenic indexes for 47 phenotypes across 11 datasets and provides a tool to correct errors-in-variables bias when using PGIs as proxies for the additive SNP factor.

Nature Human Behaviour · Jun 17, 2021Peer-reviewedGenomics