Literature DB >> 16043441

How many genes underlie the occurrence of common complex diseases in the population?

Quanhe Yang1, Muin J Khoury, Jm Friedman, Julian Little, W Dana Flanders.   

Abstract

BACKGROUND: Most common human diseases are due to complex interactions among multiple genetic variants and environmental risk factors. There is debate over whether variants of a relatively small number of genes, each with weak or modest individual effects, account for a large proportion of common diseases in the population, or whether a large number of rare variants with large effects underlie genetic susceptibility to these diseases. It is not clear how many genes are necessary to account for an appreciable population-attributable fraction of these diseases.
METHODS: In this analysis, we estimated the number of disease susceptibility genes needed to account for varying population attributable fractions of a common complex disease, taking into account the genotype prevalence, risk ratios for individual genes, and the model of gene-gene interactions (additive or multiplicative).
RESULTS: Very large numbers of rare genotypes (e.g. those with frequencies of 1 per 5000 or less) are needed to explain 50% of a common disease in the population, even if the individual risk ratios are large (RR = 10-20). On the other hand, only approximately 20 genes are usually needed to explain 50% of the burden of a disease in the population if the predisposing genotypes are common (> or = 25%), even if the individual risk ratios are relatively small (RR = 1.2-1.5).
CONCLUSIONS: Our results suggest that a limited number of disease susceptibility genes with common variants can explain a major proportion of common complex diseases in the population. Our findings should help focus the search for common genetic variants that provide the most important predispositions to complex human diseases.

Entities:  

Mesh:

Year:  2005        PMID: 16043441     DOI: 10.1093/ije/dyi130

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  57 in total

Review 1.  Multiple sclerosis.

Authors:  Alyssa Nylander; David A Hafler
Journal:  J Clin Invest       Date:  2012-04-02       Impact factor: 14.808

2.  Evidence for polygenic susceptibility to multiple sclerosis--the shape of things to come.

Authors:  William S Bush; Stephen J Sawcer; Philip L de Jager; Jorge R Oksenberg; Jacob L McCauley; Margaret A Pericak-Vance; Jonathan L Haines
Journal:  Am J Hum Genet       Date:  2010-04-01       Impact factor: 11.025

3.  The multiple autoimmune syndromes. A clue for the autoimmune tautology.

Authors:  Juan-Manuel Anaya; John Castiblanco; Adriana Rojas-Villarraga; Ricardo Pineda-Tamayo; Roger A Levy; José Gómez-Puerta; Carlos Dias; Ruben D Mantilla; Juan Esteban Gallo; Ricard Cervera; Yehuda Shoenfeld; Mauricio Arcos-Burgos
Journal:  Clin Rev Allergy Immunol       Date:  2012-12       Impact factor: 8.667

4.  Evaluation of genetic risk scores for prediction of dichotomous outcomes.

Authors:  Wonsuk Yoo; Selina A Smith; Steven S Coughlin
Journal:  Int J Mol Epidemiol Genet       Date:  2015-09-09

5.  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

6.  DNA: where to now?

Authors:  John Beilby
Journal:  Clin Biochem Rev       Date:  2007-05

Review 7.  Genetic testing for atherosclerosis risk: inevitability or pipe dream?

Authors:  Matthew Lanktree; Jisun Oh; Robert A Hegele
Journal:  Can J Cardiol       Date:  2008-11       Impact factor: 5.223

8.  Prediction of individual genetic risk to disease from genome-wide association studies.

Authors:  Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

9.  Heritability of regional and global brain structure at the onset of puberty: a magnetic resonance imaging study in 9-year-old twin pairs.

Authors:  Jiska S Peper; Hugo G Schnack; Rachel M Brouwer; G Caroline M Van Baal; Eneda Pjetri; Eszter Székely; Marieke van Leeuwen; Stéphanie M van den Berg; D Louis Collins; Alan C Evans; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

10.  Genetic variation in the one-carbon transfer pathway and ovarian cancer risk.

Authors:  Linda E Kelemen; Thomas A Sellers; Joellen M Schildkraut; Julie M Cunningham; Robert A Vierkant; V Shane Pankratz; Zachary S Fredericksen; Madhura K Gadre; David N Rider; Mark Liebow; Ellen L Goode
Journal:  Cancer Res       Date:  2008-04-01       Impact factor: 12.701

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.