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Yuxuan Wang

PhD Student
Boston University
yxw[AT]bu.edu


About

I am currently a PhD candidate in Biostatistics at Boston University, where I am fortunate to be advised by Dr. Ching-Ti Liu and Dr. Gina Peloso. My research focuses on developing and applying statistical methods to elucidate the genetic architecture of complex traits, with a particular emphasis on cardiometabolic and plasma lipid-related outcomes. I conduct large-scale GWAS meta-analyses and rare-variant association tests to identify both common and rare genetic variations that contribute to disease risk. Methodologically, I am interested in developing Bayesian frameworks to quantify the replicability of pleiotropic loci across studies and populations. I am an active member of the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program and the Global Lipids Genetics Consortium (GLGC), collaborating closely with Dr. Pradeep Natarajan, Dr. Jacqueline Dron, Dr. Xihong Lin, and Dr. Xihao Li.

Prior to my doctoral studies, I earned my master degree in Biostatistics from Yale University, where I was advised by Dr. Denise Esserman and Dr. Hongyu Zhao.

I completed my undergraduate studies in Applied Biology with Biotechnology at The Hong Kong Polytechnic University, graduating with First Class Honours.

News

Selected Publications

  1. AJHG
    Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study
    Yuxuan Wang, Margaret Sunitha Selvaraj, Xihao Li, ..., Xihong Lin, Pradeep Natarajan, Gina M. Peloso* (*Corresponding authors)
    American Journal of Human Genetics, 2023.
    Website

  2. Genome Biology
    Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
    Stavroula Kanoni†, Sarah E. Graham†, Yuxuan Wang†, Ida Surakka†, Shweta Ramdas†, Xiang Zhu†, ..., Cristen J. Willer*, Themistocles L. Assimes and Gina M. Peloso* († Co-first authors, *Corresponding authors)
    Genome Biology, 2022.
    Code Website

  3. AJHG
    A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
    Shweta Ramdas†, Jonathan Judd†, Sarah E. Graham†, Stavroula Kanoni†, Yuxuan Wang†, ..., Cristen J. Willer, Xiang Zhu*, Christopher D. Brown* († Co-first authors, *Corresponding authors)
    American Journal of Human Genetics, 2022.
    Website

  4. Stat. Methods Med. Res.
    A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks
    Fan Li*, Wenhan Lu, Yuxuan Wang, Zehua Pan, Erich J Greene, Guanqun Meng, Can Meng, Ondrej Blaha, Yize Zhao, Peter Peduzzi, Denise Esserman († Co-first authors, *Corresponding authors)
    Statistical Methods in Medical Research, 2022.
    Code Website

Presentations

RePlei: Replication of pleiotropic loci with GWAS summary statistics

Assessing Fine-Mapping Methods to Identify Causal Variants at the APOE Locus in Alzheimer’s Disease

Impact of GWAS Meta-analysis Heterogeneity on Polygenic Prediction Accuracy

Rare Variants in Long Non-coding RNAs are Associated with Blood Lipid Levels in the TOPMed Whole Genome Sequencing Study

Prioritizing Genes from Genome-wide Meta-analyses of Blood Lipid Levels

Integrating Multiple Gene Prioritization Methods to Identify Causal Genes

Comparison of Methods to Analyze Clustered Time-to-Event Data with Competing Risks

Teaching

Teaching Assistant, Boston University

Course Coordinator, Boston University