Author

Matteo Sesia

Stanford UniversityORCID 0000-0001-9046-907XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Chiara SabattiiD· 2 shared Emmanuel J. CandèsiD· 2 shared Stephen BatesiD· 2 shared Eugene KatsevichiD· 1 shared Jonathan MarchiniiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersGenomics

Chiara SabattiORCID

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2 papers

Recent·Most cited

GenomicsProceedings of the National Academy of SciencesPeer-reviewedSep 27, 2021

FDR control in GWAS with population structure

Matteo Sesia, Stephen Bates, Emmanuel J. Candès…·Chiara Sabatti

This paper introduces a statistical framework for GWAS that controls false discovery rate while accounting for population structure and relatedness, validated through simulations and UK Biobank data.

88 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsNature CommunicationsPeer-reviewedFeb 27, 2020

Multi-resolution localization of causal variants across the genome

Matteo Sesia, Eugene Katsevich, Stephen Bates…·Chiara Sabatti

KnockoffZoom identifies causal variants for complex traits at multiple resolutions using artificial genotypes and linkage disequilibrium models, outperforming mixed effects models in the UK Biobank.

75 citationstop 2%

humanGWAS summary statistics

𝕏 PostBluesky