A5101641229- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Genetic factors in colorectal cancer
- Bayesian Methods and Mixture Models
- Cancer Genomics and Diagnostics
- Cancer-related gene regulation
- Differential Equations and Boundary Problems
- Lipid metabolism and disorders
- Music and Audio Processing
- Respiratory and Cough-Related Research
- Pregnancy and preeclampsia studies
- Matrix Theory and Algorithms
- Regulation of Appetite and Obesity
- Adipokines, Inflammation, and Metabolic Diseases
- MicroRNA in disease regulation
- Wnt/β-catenin signaling in development and cancer
- Numerical methods in inverse problems
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Advanced Statistical Methods and Models
- Epigenetics and DNA Methylation
- Bone Tumor Diagnosis and Treatments
- Birth, Development, and Health
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Adipose Tissue and Metabolism
Division of Cancer Epidemiology and Genetics
2021-2024
National Cancer Institute
2018-2024
Center for Biologics Evaluation and Research
2021
United States Department of Health and Human Services
2021
University of Missouri
2016
Chordoma is a rare bone tumor with an unknown etiology and high recurrence rate. Here we conduct whole genome sequencing of 80 skull-base chordomas identify PBRM1, SWI/SNF (SWItch/Sucrose Non-Fermentable) complex subunit gene, as significantly mutated driver gene. Genomic alterations in PBRM1 (12.5%) homozygous deletions the CDKN2A/2B locus are most prevalent events. The combination chromosome 22q deletion, which involves another gene (SMARCB1), shows strong associations poor...
Hereditary diffuse gastric cancer (HDGC) is a syndrome associated with variants in E-cadherin (CDH1), and lobular breast cancer. There considerable heterogeneity its clinical manifestations. This study aimed to determine associations between CDH1 germline variant status phenotypes of HDGC.
Children of mothers with gestational diabetes have greater risk developing hypertension but little is known about the mechanisms by which this occurs. The objective study was to test hypothesis that high maternal concentrations leptin during pregnancy, are present in and/or obesity, alter blood pressure, vascular structure and function offspring. Wildtype (WT) offspring hyperleptinemic, normoglycemic, Leprdb/+ dams were compared genotype matched WT-control dams. Vascular assessed male at 6,...
We study the consistency of a Bayesian variable selection procedure for generalized linear models. Specifically, we consider Bayes factor based on $g$-priors proposed by Sabanés Bové and Held [Bayesian Analysis 6 (2011) 387–410]. The integrals necessary computation this are performed with Laplace approximation Gaussian quadrature. show that, under certain regularity conditions, resulting is consistent. Furthermore, simulation confirms our theoretical results. Finally, illustrate model an...
We propose a new class of nonlocal prior to improve the performance variable selection in high dimensional setting. prove our possesses robustness hyper parameter settings and is able detect smaller decreasing signals.
Cardiovascular disease (CVD) is the number one cause of death in U.S., and exposure to adverse maternal environments has been associated with development CVD including hypertension. Gestational diabetes mellitus (GDM) an environment that metabolic outcomes offspring. Key features GDM are hyperleptinemia vascular disfunction/remodeling, respectively. Yet, there limited information on effects function structure offspring's resistance vasculature. We hypothesize alterations artery underlie...
Identifying cancer driver genes is essential for understanding the mechanisms of carcinogenesis and designing therapeutic strategies. Although have been identified many types, it still not clear whether selection pressure homogeneous across subtypes. We propose a statistical framework MutScot to improve identification investigate heterogeneity Through simulation studies, we show that properly controls type I error in detecting genes. In addition, demonstrate can identify subtype Applications...