Literature DB >> 14678489

Identifying genes and genetic variation underlying human diseases and complex phenotypes via recombination mapping.

Ulrich Broeckel1, Nicholas J Schork.   

Abstract

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 research. 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 linkage mapping and linkage disequilibrium mapping.

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Year:  2004        PMID: 14678489      PMCID: PMC1664744          DOI: 10.1113/jphysiol.2003.051128

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  28 in total

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4.  A genomic-systems biology map for cardiovascular function.

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5.  The importance of genealogy in determining genetic associations with complex traits.

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Journal:  Am J Hum Genet       Date:  2001-11       Impact factor: 11.025

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Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

Review 7.  Population genomics: a bridge from evolutionary history to genetic medicine.

Authors:  L B Jorde; W S Watkins; M J Bamshad
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8.  Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease.

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Journal:  Nature       Date:  2001-05-31       Impact factor: 49.962

9.  Genetic variation in the gene encoding calpain-10 is associated with type 2 diabetes mellitus.

Authors:  Y Horikawa; N Oda; N J Cox; X Li; M Orho-Melander; M Hara; Y Hinokio; T H Lindner; H Mashima; P E Schwarz; L del Bosque-Plata; Y Horikawa; Y Oda; I Yoshiuchi; S Colilla; K S Polonsky; S Wei; P Concannon; N Iwasaki; J Schulze; L J Baier; C Bogardus; L Groop; E Boerwinkle; C L Hanis; G I Bell
Journal:  Nat Genet       Date:  2000-10       Impact factor: 38.330

10.  Identification of a coordinate regulator of interleukins 4, 13, and 5 by cross-species sequence comparisons.

Authors:  G G Loots; R M Locksley; C M Blankespoor; Z E Wang; W Miller; E M Rubin; K A Frazer
Journal:  Science       Date:  2000-04-07       Impact factor: 47.728

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  6 in total

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Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

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4.  Exploiting protein-protein interaction networks for genome-wide disease-gene prioritization.

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5.  Protein localization as a principal feature of the etiology and comorbidity of genetic diseases.

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Journal:  Mol Syst Biol       Date:  2011-05-24       Impact factor: 11.429

6.  Expression sensitivity analysis of human disease related genes.

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  6 in total

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