Research
Published:
Selected Publications
View full list at Google scholar
* denotes equal contribution
A blended genome and exome sequencing method captures genetic variation in an unbiased, high-quality, and cost-effective manner
Toni A Boltz*, Benjamin B. Chu*, Calwing Liao*, Julia M Sealock*, …, Benjamin M Neale, Daniel P Howrigan, Alicia R Martin. bioRxiv preprint (2024)Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics
Zihuai He*, Benjamin B. Chu*, James Yang*, Jiaqi Gu*, Zhaomeng Chen, Linxi Liu, Tim Morrison, Michael Belloy, Xinran Qi, Nima Hejazi, Maya Mathur, Yann Le Guen, Hua Tang, Trevor Hastie, Iuliana Ionita-Iaza, Chiara Sabatti, Emmanuel Candes. bioRxiv preprint (2024)Second-order group knockoffs with applications to GWAS
Benjamin B. Chu, Jiaqi Gu, Zhaomeng Chen, Tim Morrison, Emmanuel Candes, Zihuai He, Chiara Sabatti. accepted at Bioinformatics (2024)Multivariate Genome-wide Association Analysis with IHT
Benjamin B. Chu, Seyoon Ko, Jin J. Zhou, Hua Zhou, Janet S. Sinsheimer, Kenneth Lange. Bioinformatics (2023)Optimized Replacement T4 and T4+ T3 Dosing in Male and Female Hypothyroid Patients With Different BMIs Using a Personalized Mechanistic Model of Thyroid Hormone Regulation Dynamics
Mauricio Cruz-Loya*, Benjamin B. Chu*, Jacqueline Jonklaas, David F. Schneider, Joe DiStefano III. Frontiers in Endocrinology (2022)A Fast Data-Driven Method for Genotype Imputation, Phasing, and Local Ancestry Inference: MendelImpute.jl
Benjamin B. Chu, Eric M Sobel, Rory Wasiolek, Janet S. Sinsheimer, Hua Zhou, Kenneth Lange. Bioinformatics (2021)Iterative Hard Thresholding in genome-wide association studies: Generalized Linear Models, Prior Weights, and Double Sparsity
Benjamin B. Chu, Kevin L. Keys, Christopher A. German, Hua Zhou, Jin J. Zhou, Janet S. Sinsheimer, Kenneth Lange. GigaScience (2020)
Talks
False discovery rate control for polygenic risk prediction. UCLA (online), Center for Admixed Population and Health Equity. (Slides)
Scalable algorithms for genetic association studies, genotype imputation, and ancestry inference. 2021 University of Southern California (online), Biostatistics Seminar. (Slides)(Video)
Scalable algorithms for GWAS, genotype imputation, and ancestry inference. 2020 University of Michigan (online), Biostatistics Seminar. (Slides)
Julia Meets Mendel: Algorithms and Software for Modern Genomic Data Analysis. 2020 ASHG Workshop (home page)(ipynb)(html)(talk slides)
OpenMendel Programming Workshop. 2020 Inaugural Lange Symposium, Los Angeles. (ipynb)(html)(binder)
A multiple regression approach for GWAS and high dimensional inference. 2020 QCBio Luncheon, Los Angeles. (Slides)
MendelIHT.jl: Generalized Linear Models for High Dimensional Genetics (GWAS) Data. 2019 JuliaCon, Baltimore. (Video)(Slides)