Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jan 18, 2017
Linking genomics data to large scale cohorts with comprehensive longitudinal electronic health record data provides unique opportunities for a variety of genetic epidemiologic studies. Here we discuss the Kaiser Permanente Northern California Research Program on Genes, Environment and Health (RPGEH) Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort. This cohort has genome-wide genotype data and telomere data linked to EHR and survey data on over 100,000 participants. In addition to standard GWAS of ICD9-based diagnoses and measured risk factors, the data present opportunities to investigate issues of population structure, heritability, comorbidity, pleiotropy and pharmacogenetics, among others. We present a few examples related to cardiovascular risk factors and cancer.
Niel Risch, PhD Lamond Family Foundation Distinguished Professorship in Human Genetics; Director, Institute for Human Genetics; Professor, Epidemiology and Biostatistics, University of California at San Francisco; Adjunct Investigator, Kaiser Permanente Division of Research