Author

Nicholas Eriksson

insitro, inc. (United States)Primary ORCID profile (0000-0003-2031-2872 · 15 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Nicholas ErikssoniD15 papers · 23andMe (United States)

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Colm T. O’DushlaineiD· 1 shared David AmariD· 1 shared Hari SomineniiD· 1 shared Kaiwen XuiD· 1 shared Rounak DeyiD· 1 shared Sumit MukherjeeiD· 1 shared Thomas W. SoareiD· 1 shared Zachary Ryan McCawiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperGenetics

Colm T. O’DushlaineORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintDec 16, 2024

Causal considerations can determine the utility of machine learning assisted GWAS

Sumit Mukherjee, Zachary Ryan McCaw, David Amar…·Colm T. O’Dushlaine

This study shows that machine learning-derived phenotypes for GWAS can lead to false discoveries depending on their causal relationship with the target phenotype and environment.

DOI 10.1101/2024.12.16.628604

humanGWAS summary statistics

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