This brief review provides a summary of the biological causes of genetic association between tightly linked markers – termed linkage disequilibrium – and unlinked markers – termed population structure. We also review the utility of linkage disequilibrium data in gene mapping in isolated populations, in the estimation of recombination rates and in studying the history of particular alleles, including the detection of natural selection. We discuss current understanding of the extent and patterns of linkage disequilibrium in the genome, and its promise for genetic association studies in complex disease. Finally, we highlight the importance of using appropriate statistical procedures, such as the false discovery rate, to maximize the chances of success in large scale association studies.
Dr. G.R. Abecasis
Department of Biostatistics, School of Public Health
University of Michigan
Ann Arbor, MI (USA)
Tel. +1 734 763 4901, Fax +1 734 615 8322, E-Mail email@example.com
Received: January 25, 2005
Accepted after revision: February 22, 2005
Published online: April 18, 2005
Number of Print Pages : 7
Number of Figures : 2, Number of Tables : 0, Number of References : 53
Human Heredity (International Journal of Human and Medical Genetics)
Vol. 59, No. 2, Year 2005 (Cover Date: Released May 2005)
Journal Editor: Devoto, M. (Wilmington, Del.)
ISSN: 0001–5652 (print), 1423–0062 (Online)
For additional information: http://www.karger.com/hhe
Article / Publication Details
Published online: 5/17/2005
Number of Print Pages: 7
Number of Figures: 2
Number of Tables: 0
ISSN: 0001-5652 (Print)
eISSN: 1423-0062 (Online)
For additional information: http://www.karger.com/HHE
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