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Haiman CA, Stram DO. Exploring genetic susceptibility to cancer in diverse populations. Curr Opin Genet Dev. 2010;20(3):330-5doi: 10.1016/j.gde.2010.02.007.
Haiman, C. A., & Stram, D. O. (2010). Exploring genetic susceptibility to cancer in diverse populations. Current opinion in genetics & development, 20(3), 330-5. https://doi.org/10.1016/j.gde.2010.02.007
Haiman, Christopher A, and Stram, Daniel O. "Exploring genetic susceptibility to cancer in diverse populations." Current opinion in genetics & development vol. 20,3 (2010): 330-5. doi: https://doi.org/10.1016/j.gde.2010.02.007
Haiman CA, Stram DO. Exploring genetic susceptibility to cancer in diverse populations. Curr Opin Genet Dev. 2010 Jun;20(3):330-5. doi: 10.1016/j.gde.2010.02.007. Epub 2010 Mar 30. PMID: 20359883; PMCID: PMC4196678.
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Curr Opin Genet Dev. 2010 Jun;20(3):330-5. doi: 10.1016/j.gde.2010.02.007. Epub 2010 Mar 30.

Exploring genetic susceptibility to cancer in diverse populations.

Current opinion in genetics & development

Christopher A Haiman, Daniel O Stram

Affiliations

  1. Department of Preventive Medicine, Keck School of Medicine and the Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. [email protected]

PMID: 20359883 PMCID: PMC4196678 DOI: 10.1016/j.gde.2010.02.007

Abstract

Incidence rates for many cancers differ markedly by race/ethnicity and furthering our understanding of the genetic and environmental causes of such disparities is a scientific and public health need. Genome-wide association studies (GWAS) are widely acknowledged to provide important information about the etiology of common cancers. To date, these studies have been primarily conducted in European-derived populations. There are important reasons for extending the reach of GWAS studies to other groups and for conducting multiethnic genetic studies involving multiple populations and admixed populations. These include a (1) need to discover the full scope of variants that affect risk of disease in all populations, (2) furthering the understanding of disease pathways, and (3) to assist in fine-mapping of genetic associations by exploiting the differences in linkage disequilibrium between populations to narrow the range of marker alleles demarking regions that contain a true biologically relevant variant. Challenges to multiethnic studies relating to study power, control for hidden population structure, imputation, and use of shared controls for multiple cancer endpoints are discussed.

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