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First published online on October 24, 2003.
Copyright © 2003 by The Physiological Society
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jphysiol.2003.051128v1
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Received July 10, 2003
Revised August 29, 2003
Accepted after revision October 16, 2003

Identifying Genes and Genetic Variation Underlying Human Diseases and Complex Phenotypes via Recombination Mapping

Ulrich Broeckel1* and Nicholas J. Schork2

1 Medical College of Wisconsin
2 University of California San Diego

* To whom correspondence should be addressed. E-mail: broeckel{at}mcw.edu.

Understanding the mechanisms by which DNA and DNA variation influence diseases, naturally-occurring phenotypic variation, and complex biological systems, has been one of the major tasks associated with contemporary human genetics research1. The identification and characterization of specific genetic variations that influence particular human diseases and phenotypes is complicated by the fact that most diseases and phenotypes are influenced by many genetic and environmental factors. Thus, the identification of any particular phenotypically-relevant factor might be hampered as other relevant factors may obscure its individual effect. Over the years numerous methods and study designs have been described to identify disease causing genes and mutations. One in particular - meiotic or recombination mapping - has received considerable attention over the last 50 years, and has been used widely with varying degrees of success. This review describes the motivation behind, and problems associated with, recombination mapping, in terms of both traditional "linkage" mapping and more contemporary "linkage disequilibrium" mapping.


Key words: Diabetes • Human







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