Benjamin B Chu
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Explore the profile of Benjamin B Chu including associated specialties, affiliations and a list of published articles.
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10
Citations
32
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Recent Articles
1.
Chu B, Gu J, Chen Z, Morrison T, Candes E, He Z, et al.
Bioinformatics
. 2024 Sep;
40(10).
PMID: 39340798
Motivation: Conditional testing via the knockoff framework allows one to identify-among a large number of possible explanatory variables-those that carry unique information about an outcome of interest and also provides...
2.
Boltz T, Chu B, Liao C, Sealock J, Ye R, Majara L, et al.
bioRxiv
. 2024 Sep;
PMID: 39282356
We deployed the Blended Genome Exome (BGE), a DNA library blending approach that generates low pass whole genome (1-4× mean depth) and deep whole exome (30-40× mean depth) data in...
3.
Chu B, Gu J, Chen Z, Morrison T, Candes E, He Z, et al.
ArXiv
. 2024 Mar;
PMID: 38495569
Conditional testing via the knockoff framework allows one to identify -- among large number of possible explanatory variables -- those that carry unique information about an outcome of interest, and...
4.
Chen Z, He Z, Chu B, Gu J, Morrison T, Sabatti C, et al.
ArXiv
. 2024 Mar;
PMID: 38463500
Identifying which variables do influence a response while controlling false positives pervades statistics and data science. In this paper, we consider a scenario in which we only have access to...
5.
Chu B, Ko S, Zhou J, Jensen A, Zhou H, Sinsheimer J, et al.
Bioinformatics
. 2023 Apr;
39(4).
PMID: 37067496
Motivation: In a genome-wide association study, analyzing multiple correlated traits simultaneously is potentially superior to analyzing the traits one by one. Standard methods for multivariate genome-wide association study operate marker-by-marker...
6.
Ko S, Chu B, Peterson D, Okenwa C, Papp J, Alexander D, et al.
Am J Hum Genet
. 2023 Jan;
110(2):314-325.
PMID: 36610401
Admixture estimation plays a crucial role in ancestry inference and genome-wide association studies (GWASs). Computer programs such as ADMIXTURE and STRUCTURE are commonly employed to estimate the admixture proportions of...
7.
Cruz-Loya M, Chu B, Jonklaas J, Schneider D, DiStefano 3rd J
Front Endocrinol (Lausanne)
. 2022 Aug;
13:888429.
PMID: 35909562
Objective: A personalized simulation tool, p-THYROSIM, was developed (1) to better optimize replacement LT4 and LT4+LT3 dosing for hypothyroid patients, based on individual hormone levels, BMIs, and gender; and (2)...
8.
Chu B, Sobel E, Wasiolek R, Ko S, Sinsheimer J, Zhou H, et al.
Bioinformatics
. 2021 Jul;
37(24):4756-4763.
PMID: 34289008
Motivation: Current methods for genotype imputation and phasing exploit the volume of data in haplotype reference panels and rely on hidden Markov models (HMMs). Existing programs all have essentially the...
9.
Chu B, Keys K, German C, Zhou H, Zhou J, Sobel E, et al.
Gigascience
. 2020 Jun;
9(6).
PMID: 32491161
Background: Consecutive testing of single nucleotide polymorphisms (SNPs) is usually employed to identify genetic variants associated with complex traits. Ideally one should model all covariates in unison, but most existing...
10.
Zhou H, Sinsheimer J, Bates D, Chu B, German C, Ji S, et al.
Hum Genet
. 2019 Mar;
139(1):61-71.
PMID: 30915546
Statistical methods for genome-wide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory...