Author

Jey C. McCreight

23andMe (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 3 Genetics· 3

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 6 Organism:human· 5 Approach:statistical model· 5 Research Focus:GWAS / association mapping· 3 Research Focus:polygenic risk· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam AutoniD· 6 shared Anjali J. Shastri· 6 shared Janie F. Shelton· 6 shared Kipper Fletez‐BrantiD· 6 shared Stella W. AslibekyaniD· 6 shared Alison Fitch· 5 shared Barry Hicks· 5 shared Catherine H. Weldon· 5 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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6 shared papersGenetic & Genomic Medicine

Adam AutonORCID

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Author profile →

6 papers

Recent·Most cited

Insights into Ancestral Diversity in Parkinsons Disease Risk: A Comparative Assessment of Polygenic Risk Scores

Paula Saffie Awad, Spencer M. Grant, Mary B. Makarious, Inas Elsayed, Arinola O. Sanyaolu, Peter Wild Crea, Artur Francisco Schumacher Schuh, Kristin S. Levine, Dan Vitale, Mathew J. Koretsky, Jeffrey Kim, Thiago Peixoto Leal, María Teresa Periñán, Sumit Dey, Alastair John Noyce, , Edward A. Fon

This study compares polygenic risk scores for Parkinson's disease across seven ancestries, finding varying predictive accuracy and highlighting the need for ancestry-specific models.

npj Parkinson s Disease · Jul 3, 2025Peer-reviewedGenetic & Genomic Medicine

MUSSEL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups

Jin Jin, Jianan Zhan, Jingning Zhang, Ruzhang Zhao, Jared O’Connell, Yunxuan Jiang, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Daniella Coker, Gabriel Cuéllar-Partida, , Nilanjan Chatterjee

MUSSEL improves polygenic risk prediction across populations by integrating GWAS summary statistics and using Bayesian hierarchical modeling with ensemble learning.

Cell Genomics · Apr 1, 2024Peer-reviewedGenetics

Multi-ancestry genome-wide meta-analysis in Parkinson's disease

Jonggeol Jeffrey Kim, Dan Vitale, Diego Véliz Otani, Michelle Mulan Lian, Karl Heilbron, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, Emily Bullis, Paul Cannon, Daniella Coker, Gabriel Cuéllar-Partida, , Piu Chan

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

Nature Genetics · Dec 28, 2023Peer-reviewedGenetic & Genomic Medicine

A new method for multi-ancestry polygenic prediction improves performance across diverse populations

Haoyu Zhang, Jianan Zhan, Jin Jin, Jingning Zhang, Wenxuan Lu, Ruzhang Zhao, Thomas U. Ahearn, Zhi Yu, Jared O’Connell, Yunxuan Jiang, Tony Chen, Dayne Y. Okuhara, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, , Nilanjan Chatterjee

The paper introduces CT-SLEB, a method for multi-ancestry polygenic prediction that improves performance in non-European populations using GWAS summary statistics and simulation studies.

Nature Genetics · Sep 25, 2023Peer-reviewedGenetics

Genome-wide association study of musical beat synchronization demonstrates high polygenicity

Maria Niarchou, Daniel E. Gustavson, J. Fah Sathirapongsasuti, Manuel Anglada-Tort, Else Eising, Eamonn Bell, Evonne McArthur, Péter Straub, Stella W. Aslibekyan, Adam Auton, Robert K. Bell, Katarzyna Bryc, Sarah K. Clark, Sarah L. Elson, Kipper Fletez‐Brant, , Reyna L. Gordon

This study conducts a genome-wide association study to identify genetic variants linked to musical beat synchronization, finding high polygenicity with 69 significant loci and heritability estimates of 13%-16%.

Nature Human Behaviour · Jun 16, 2022Peer-reviewedGenetics

The UGT2A1/UGT2A2 locus is associated with COVID-19-related anosmia

Janie F. Shelton, Anjali J. Shastri, Kipper Fletez‐Brant, The 23andMe COVID-19 Team, Adam Auton, Adrian Chubb, Alison Fitch, Alison Kung, Amanda Altman, Andy Kill, Antony Symons, Catherine H. Weldon, Daniella Coker, Jason Tan, Jeff Pollard, , Yiwen Zheng

The paper identifies a genetic association between the UGT2A1/UGT2A2 locus and COVID-19-related anosmia using a trans-ethnic GWAS.

Nature Genetics · Jan 17, 2022Peer-reviewedGenetic & Genomic Medicine