Author

Elizabeth Babalola

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· 5 Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 8 Organism:human· 7 Approach:statistical model· 7 Research Focus:GWAS / association mapping· 5 Research Focus:polygenic risk· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam AutoniD· 8 shared Anjali J. Shastri· 8 shared Barry Hicks· 8 shared Catherine H. Weldon· 8 shared David A. HindsiD· 8 shared Ethan M. JewettiD· 8 shared G. David PoznikiD· 8 shared Jared O’ConnelliD· 8 shared

Activity by Year

2022-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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8 shared papersGenetic & Genomic Medicine

Adam AutonORCID

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Author profile →

8 papers

Recent·Most cited

Association between polygenic risk and survival in breast cancer patients

Danielle E. Kurant, Stefan Groha, Yi Ding, Chris German, Wei Wang, Julie M. Granka, Michael Vaclav Holmes, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Ninad S. Chaudhary, Zayn Cochinwala, Sayantan Das, , Alexander Sasha Gusev

This study finds that higher polygenic risk scores for breast cancer are associated with longer survival in patients, suggesting a link between genetic predisposition and less aggressive tumors.

BMC Cancer · Aug 28, 2025Peer-reviewedGenetic & Genomic Medicine

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

Bidirectional relationship between olfaction and Parkinson's disease

Jonggeol Jeffrey Kim, Sara Bandrés‐Ciga, Karl Heilbron, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Jonathan Bowes, Katarzyna Bryc, Ninad S. Chaudhary, Daniella Coker, Sayantan Das, Emily DelloRusso, Sarah L. Elson, , Alastair John Noyce

This study identifies genetic correlations between hyposmia and Parkinson's disease, finding a strong causal link from PD to hyposmia but weaker evidence for the reverse.

npj Parkinson s Disease · Dec 5, 2024Peer-reviewedGenetic & Genomic Medicine

The shared genetic architecture and evolution of human language and musical rhythm

Gökberk Alagöz, Else Eising, Yasmina Mekki, Giacomo Bignardi, Pierre Fontanillas, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Jonathan Bowes, Katarzyna Bryc, Ninad S. Chaudhary, Daniella Coker, Sayantan Das, , Reyna L. Gordon

This study investigates the shared genetic architecture between rhythm and dyslexia using large-scale genome-wide association studies.

Nature Human Behaviour · Nov 21, 2024Peer-reviewedGenomics

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

Discovery of genomic loci associated with sleep apnoea risk through multi-trait GWAS analysis with snoring

Adrián I. Campos, Nathan Ingold, Yunru Huang, Brittany L. Mitchell, Pik Fang Kho, Xikun Han, Luis M. García‐Marín, Jue‐Sheng Ong, Michelle Agee, Stella Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Katarzyna Bryc, , Miguel E. Rentería

This study identifies 49 genetic loci associated with sleep apnoea risk using multi-trait GWAS, with 29 replicated in a large cohort, and finds genetic correlations with several complex traits.

SLEEP · Dec 16, 2022Peer-reviewedGenetic & Genomic Medicine