Marylyn D. Ritchie

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"Marylyn Ritchie"

Parents

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Jason H. Moore grad student 2004 Vanderbilt
 (Genetic programming optimized neural networks for identifying gene -gene interactions.)

Children

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Anna Okula Basile grad student Penn State
William S. Bush grad student Vanderbilt
Molly Hall grad student Penn State
Emily Holzinger grad student
Carrie Buchanan Moore grad student
Shefali Setia Verma grad student
Anurag Verma grad student
Xinyuan (Blair) Zhang grad student Penn State
Alison Motsinger-Reif grad student 2007 Vanderbilt
Todd Edwards grad student 2008 Vanderbilt
Stephen D. Turner grad student 2006-2010 Vanderbilt
Logan C. Dumitrescu grad student 2011 Vanderbilt
Ruowang Li grad student 2011-2016 Penn State
Binglan Li grad student 2015-2020 Geisinger Health System
Marta Byrska-Bishop post-doc
Jason E. Miller post-doc Geisinger Health System
Rebecca L. Zuvich post-doc Vanderbilt (Neurotree)
Sarah A. Pendergrass post-doc 2015
Dokyoon Kim post-doc 2014-2016 Penn State
BETA: Related publications

Publications

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Yang G, González P, Moneró M, et al. (2025) Discovery of ancestry-specific variants associated with clopidogrel response among Caribbean Hispanics. Npj Genomic Medicine. 10: 20
Liu H, Abedini A, Ha E, et al. (2025) Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants. Science (New York, N.Y.). 387: eadp4753
Wade AN, Guare L, Hayat M, et al. (2025) Strength of Genetic Associations with Thyrotropin Values Differs Between Populations with Similarity to African and European Reference Populations. Thyroid : Official Journal of the American Thyroid Association
Basile AO, Verma A, Tang LA, et al. (2024) Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine-based approach in diverse healthcare systems. Clinical and Translational Science. 18: e70105
Kember RL, Verma SS, Verma A, et al. (2024) Polygenic risk scores for cardiometabolic traits demonstrate importance of ancestry for predictive precision medicine. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 30: 748-765
Garao Rico AL, Palmiero N, Ritchie MD, et al. (2024) Integrated exposomic analysis of lipid phenotypes: Leveraging GE.db in environment by environment interaction studies. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 30: 535-550
Orlenko A, Venkatesan M, Shen L, et al. (2024) Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer's Disease. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 30: 441-456
Jones SC, Cardone KM, Bradford Y, et al. (2024) The Impact of Ancestry on Genome-Wide Association Studies. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 30: 251-267
Keat K, Venkatesh R, Huang Y, et al. (2024) PGxQA: A Resource for Evaluating LLM Performance for Pharmacogenomic QA Tasks. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 30: 229-246
Kumar R, Romano JD, Ritchie MD. (2024) CASTER-DTA: Equivariant Graph Neural Networks for Predicting Drug-Target Affinity. Biorxiv : the Preprint Server For Biology
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