William Gauderman, PhD

Professor of Population and Public Health Sciences

Division Chief of Biostatistics

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Overview

Dr. Gauderman’s research falls into two distinct areas:

1) developing statistical methods for genetic-epidemiologic analysis of pedigree data; 2) design and analysis of studies relating health outcomes to environmental exposures. In the field of genetic-epidemiology, he has developed models and methods of estimation for complex traits that depend on both genetic and environment causes, possibly interacting. He has evaluated a technique known as joint segregation and linkage analysis and has found it to be an efficient strategy both for detecting linkage and for estimating gene-environment interactions when the disease gene has not yet been identified. He has also compared various case-control designs for studying measured genes (e.g. candidate genes). In the field of environmental health, he works with the Children’s Health Study, a multi-community study of lung function and respiratory health in school-aged children in the Southern California area. The ultimate goal of this research is to determine whether air pollution, or particular components of air pollution such as ozone, is associated with reduced lung growth and increased incidence of asthma, bronchitis, and other respiratory illnesses. He is also the principal investigator of the biostatistics core of the NIEHS Center, and thus is available for statistical consultation for projects involving environmental health.

Research Funding

  • An integrative omics approach to investigate gene-environment interaction in colorectal cancer risk
    NIH · R01CA273198 · Jun 1, 2023 – May 31, 2028 · Role: Co-Principal Investigator
  • Using functional genomics to inform gene environment interactions for colorectal cancer
    NIH · R01CA201407 · Sep 23, 2016 – Aug 31, 2021 · Role: Co-Principal Investigator
  • Statistical Methods for Integrative Genomics in Cancer
    NIH · P01CA196569 · Jul 1, 2016 – Aug 31, 2027 · Role: Co-Principal Investigator
  • Gene-Environment Analyses of Early Life Exposures and Asthma in Ethnically Diverse Children
    NIH · R21ES024844 · Dec 1, 2014 – Nov 30, 2017 · Role: Co-Principal Investigator
  • Air pollution effects on asthma and lung function in Hispanic children
    NIH · R03ES022719 · Jun 20, 2013 – May 31, 2016 · Role: Principal Investigator
  • Detecting GxE Interactions in Genome-wide Association Studies
    NIH · R21HL115606 · Mar 1, 2012 – Feb 29, 2016 · Role: Principal Investigator
  • Software to compute sample size for high-volume genetic studies
    NIH · R41CA141852 · Aug 1, 2009 – Jul 31, 2012 · Role: Principal Investigator
  • Remote Sensing of Wildfire Smoke Exposures to Assess Health Effects
    NIH · R21ES016986 · Sep 5, 2008 – Aug 31, 2011 · Role: Co-Principal Investigator
  • A Genome-wide Association Study of Childhood Respiratory Outcomes
    NIH · R01HL087680 · May 20, 2007 – Apr 30, 2011 · Role: Principal Investigator
  • Environmental Genomics
    NIH · T32ES013678 · Apr 30, 2005 – Jun 30, 2025 · Role: Principal Investigator
  • STATISTICAL APPROACHES TO THE STUDY OF GXE INTERACTIONS
    NIH · R01ES010421 · May 1, 2000 – Apr 30, 2005 · Role: Principal Investigator
  • TRAINING MODULES FOR CLINICAL EPIDEMIOLOGICAL RESEARCH
    NIH · R43CA058240 · Sep 30, 1992 – May 31, 1993 · Role: Principal Investigator
  • PEDIGREE ANALYSIS USING GIBBS SAMPLING
    NIH · R43GM048326 · Sep 1, 1992 – Mar 31, 1993 · Role: Principal Investigator

Publications

  • A note on p-value multiple-testing adjustment for two-step genome-wide gene-environment interactions scans. medRxiv. 2023 Jun 28.. View in PubMed
  • Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses. Br J Cancer. 2023 08; 129(3):511-520.. View in PubMed
  • The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. Sci Adv. 2023 04 28; 9(17):eabm4945.. View in PubMed
  • Air pollution and emotional behavior in adolescents across the U.S. medRxiv. 2023 Apr 25.. View in PubMed
  • Longitudinal hierarchical Bayesian models of covariate effects on airway and alveolar nitric oxide. Sci Rep. 2023 04 01; 13(1):5346.. View in PubMed
  • Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. Nat Genet. 2023 03; 55(3):410-422.. View in PubMed
  • Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response. Cancer Epidemiol Biomarkers Prev. 2023 03 06; 32(3):315-328.. View in PubMed
  • Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. Nat Genet. 2023 Mar; 55(3):519-520.. View in PubMed
  • Ambient temperature and air pollution associations with suicide and homicide mortality in California: A statewide case-crossover study. Sci Total Environ. 2023 May 20; 874:162462.. View in PubMed
  • Improved two-step testing of genome-wide gene-environment interactions. Genet Epidemiol. 2023 03; 47(2):152-166.. View in PubMed