Faculty

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William Gauderman, PhD
Professor of Preventive Medicine
Preventive Medicine
SSB 202K 2001 N. Soto Street Health Sciences Campus Los Angeles
+1 323 442 1567

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.

Publications

Increased yield of actionable mutations using multi-gene panels to assess hereditary cancer susceptibility in an ethnically diverse clinical cohort. Cancer Genet. 2016 Apr; 209(4):130-7. View in: PubMed

Adaptive Set-Based Methods for Association Testing. Genet Epidemiol. 2016 Feb; 40(2):113-22. View in: PubMed

Finding novel genes by testing G × E interactions in a genome-wide association study. Genet Epidemiol. 2013 Sep; 37(6):603-13. View in: PubMed

Genotype Imputation for Latinos Using the HapMap and 1000 Genomes Project Reference Panels. Front Genet. 2012; 3:117. View in: PubMed

Using extreme phenotype sampling to identify the rare causal variants of quantitative traits in association studies. Genet Epidemiol. 2011 Dec; 35(8):790-9. View in: PubMed

Efficient genome-wide association testing of gene-environment interaction in case-parent trios. Am J Epidemiol. 2010 Jul 1; 172(1):116-22. View in: PubMed

Testing association between disease and multiple SNPs in a candidate gene. Genet Epidemiol. 2007 Jul; 31(5):383-95. View in: PubMed

Indoor time-microenvironment-activity patterns in seven regions of Europe. J Expo Sci Environ Epidemiol. 2007 Mar; 17(2):170-81. View in: PubMed

Effect of exposure to traffic on lung development from 10 to 18 years of age: a cohort study. Lancet. 2007 Feb 17; 369(9561):571-7. View in: PubMed

Childhood asthma and exposure to traffic and nitrogen dioxide. Epidemiology. 2005 Nov; 16(6):737-43. View in: PubMed

The effect of air pollution on lung development from 10 to 18 years of age. N Engl J Med. 2004 Sep 9; 351(11):1057-67. View in: PubMed

Candidate gene association analysis for a quantitative trait, using parent-offspring trios. Genet Epidemiol. 2003 Dec; 25(4):327-38. View in: PubMed

Longitudinal data analysis in pedigree studies. Genet Epidemiol. 2003; 25 Suppl 1:S18-28. View in: PubMed

Effects of glutathione S-transferase P1, M1, and T1 on acute respiratory illness in school children. Am J Respir Crit Care Med. 2002 Aug 1; 166(3):346-51. View in: PubMed

Association between air pollution and lung function growth in southern California children: results from a second cohort. Am J Respir Crit Care Med. 2002 Jul 1; 166(1):76-84. View in: PubMed

Sample size requirements for association studies of gene-gene interaction. Am J Epidemiol. 2002 Mar 1; 155(5):478-84. View in: PubMed

Gene-environment interaction and affected sib pair linkage analysis. Hum Hered. 2001; 52(1):34-46. View in: PubMed

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