Author

Xing Chen

Harvard UniversityORCID 0000-0002-3058-7370Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xing Chen4 papers · Netherlands Institute for Neuroscience

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Jason Grundstad· 1 shared Anthony PhilippakisiD· 1 shared Benjamin M. NealeiD· 1 shared Bridget M. Riley-GillisiD· 1 shared Cara Mason· 1 shared Charlotte Tolonen· 1 shared Christopher Farnham· 1 shared Christopher Vittal· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

A. Jason Grundstad

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2 papers

Recent·Most cited

Systematic single-variant and gene-based association testing of thousands of phenotypes in 426,370 UK Biobank exomes

Konrad J. Karczewski, Matthew Solomonson, Katherine R. Chao, Julia K. Goodrich, Grace Tiao, Wenhan Lu, Bridget M. Riley-Gillis, Ellen A. Tsai, Hye In Kim, Xiuwen Zheng, Fedik Rahimov, Sahar Esmaeeli, A. Jason Grundstad, Mark Reppell, Jeff Waring, , Benjamin M. Neale

The paper performs single-variant and gene-based association analyses of 4,529 phenotypes using exome data from 426,370 UK Biobank individuals, finding associations linked to variant frequency and deleteriousness.

Cell Genomics · Aug 15, 2022Peer-reviewedGenetic & Genomic Medicine

Identifying Pleiotropic Effects: A Two-Stage Approach Using Genome-Wide Association Meta-Analysis Data

Xing Chen, Yi‐Hsiang Hsu

This paper introduces a two-stage method to detect pleiotropic genetic variants using GWAS summary statistics, showing improved power over existing approaches.

bioRxiv · Sep 5, 2017 · PreprintGenetics