Publications
Filters: Keyword is Genome-Wide Association Study [Clear All Filters]
fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
"Combining an evolution-guided clustering algorithm and haplotype-based LRT in family association studies." BMC Genet 12 (2011): 48.
"Sparse meta-analysis with high-dimensional data." Biostatistics 17, no. 2 (2016): 205-20.
"Genomewide Meta-Analysis Validates a Role for S1PR1 in Microtubule Targeting Agent-Induced Sensory Peripheral Neuropathy." Clin Pharmacol Ther 108, no. 3 (2020): 625-634.
"A general framework for detecting disease associations with rare variants in sequencing studies." Am J Hum Genet 89, no. 3 (2011): 354-67.
"TEAM: efficient two-locus epistasis tests in human genome-wide association study." Bioinformatics 26, no. 12 (2010): i217-27.
"Efficient estimation of grouped survival models." BMC Bioinformatics 20, no. 1 (2019): 269.
"Sample size considerations of prediction-validation methods in high-dimensional data for survival outcomes." Genet Epidemiol 37, no. 3 (2013): 276-82.
"A New Method for Detecting Associations with Rare Copy-Number Variants." PLoS Genet 11, no. 10 (2015): e1005403.
"A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
"Analysis of untyped SNPs: maximum likelihood and imputation methods." Genet Epidemiol 34, no. 8 (2010): 803-15.
"SNPpy--database management for SNP data from genome wide association studies." PLoS One 6, no. 10 (2011): e24982.
"A genome-wide association study identifies novel loci for paclitaxel-induced sensory peripheral neuropathy in CALGB 40101." Clin Cancer Res 18, no. 18 (2012): 5099-109.
"Multivariate phenotype association analysis by marker-set kernel machine regression." Genet Epidemiol 36, no. 7 (2012): 686-95.
"Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors." Genet Epidemiol 39, no. 2 (2015): 122-33.
"Effective SNP ranking improves the performance of eQTL mapping." Genet Epidemiol 44, no. 6 (2020): 611-619.
"Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data." Genet Epidemiol 34, no. 1 (2010): 60-6.
"Meta-analysis of gene-level associations for rare variants based on single-variant statistics." Am J Hum Genet 93, no. 2 (2013): 236-48.
"Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma." Cancer Discov 7, no. 10 (2017): 1116-1135.
"Power and sample size calculations for SNP association studies with censored time-to-event outcomes." Genet Epidemiol 36, no. 6 (2012): 538-48.
"Prediction of a time-to-event trait using genome wide SNP data." BMC Bioinformatics 14 (2013): 58.
"Genetic analyses of diverse populations improves discovery for complex traits." Nature 570, no. 7762 (2019): 514-518.
"A variable selection method for genome-wide association studies." Bioinformatics 27, no. 1 (2011): 1-8.
"Exploiting expression patterns across multiple tissues to map expression quantitative trait loci." BMC Bioinformatics 17 (2016): 257.
"Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis." PLoS Comput Biol 16, no. 5 (2020): e1007797.
""Genome-wide association study identifies five new schizophrenia loci." Nat Genet 43, no. 10 (2011): 969-76.
A general framework for association tests with multivariate traits in large-scale genomics studies." Genet Epidemiol 37, no. 8 (2013): 759-67.
"