Literature DB >> 12351581

The allelic structure of common disease.

Desmond J Smith1, Aldons J Lusis.   

Abstract

A better understanding of the allelic structure of common human disease loci may help identification of the responsible genes, and is thus a topic of considerable practical importance. If few alleles at each locus account for the majority of disease risk, then screening for these causative factors will be greatly simplified. In contrast, if large numbers of independent alleles are responsible, dramatic improvements in genotyping speed will be necessary, placing the dream of personalized medicine far in the future. In this review, the evidence for and against the optimistic and pessimistic viewpoints is discussed. It appears that neither position has been proved or disproved, but the available evidence indicates that common diseases are due at least in part to genes with a small number of disease-associated alleles.

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Year:  2002        PMID: 12351581     DOI: 10.1093/hmg/11.20.2455

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  23 in total

1.  Interpretation of association signals and identification of causal variants from genome-wide association studies.

Authors:  Kai Wang; Samuel P Dickson; Catherine A Stolle; Ian D Krantz; David B Goldstein; Hakon Hakonarson
Journal:  Am J Hum Genet       Date:  2010-04-29       Impact factor: 11.025

2.  Simulations provide support for the common disease-common variant hypothesis.

Authors:  Bo Peng; Marek Kimmel
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

3.  Determination of cancer risk associated with germ line BRCA1 missense variants by functional analysis.

Authors:  Marcelo A Carvalho; Sylvia M Marsillac; Rachel Karchin; Siranoush Manoukian; Scott Grist; Ramona F Swaby; Turan P Urmenyi; Edson Rondinelli; Rosane Silva; Luis Gayol; Lisa Baumbach; Rebecca Sutphen; Jennifer L Pickard-Brzosowicz; Katherine L Nathanson; Andrej Sali; David Goldgar; Fergus J Couch; Paolo Radice; Alvaro N A Monteiro
Journal:  Cancer Res       Date:  2007-02-15       Impact factor: 12.701

4.  Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data.

Authors:  Bingshan Li; Suzanne M Leal
Journal:  Am J Hum Genet       Date:  2008-08-07       Impact factor: 11.025

Review 5.  Genetics and pathogenesis of multiple sclerosis.

Authors:  R L Zuvich; J L McCauley; M A Pericak-Vance; J L Haines
Journal:  Semin Immunol       Date:  2009-09-22       Impact factor: 11.130

Review 6.  Suicidal ideation during antidepressant treatment: do genetic predictors exist?

Authors:  Nader Perroud
Journal:  CNS Drugs       Date:  2011-06-01       Impact factor: 5.749

Review 7.  The immunogenetic architecture of autoimmune disease.

Authors:  An Goris; Adrian Liston
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

8.  A powerful association test of multiple genetic variants using a random-effects model.

Authors:  K F Cheng; J Y Lee; W Zheng; C Li
Journal:  Stat Med       Date:  2013-12-16       Impact factor: 2.373

Review 9.  The use of racial, ethnic, and ancestral categories in human genetics research.

Authors: 
Journal:  Am J Hum Genet       Date:  2005-08-29       Impact factor: 11.025

10.  Adaptive genetic variation, stress and glucose regulation.

Authors:  Roxanne C Oriel; Christopher D Wiley; Michael J Dewey; Paul B Vrana
Journal:  Dis Model Mech       Date:  2008-11-06       Impact factor: 5.758

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