Literature DB >> 17984539

The genetic basis of complex traits: rare variants or "common gene, common disease"?

Sudha K Iyengar1, Robert C Elston.   

Abstract

The goal of the Human Genome Project and the subsequent HapMap Project was to accelerate the pace at which genes for complex human traits were discovered. Elated by the early successes from cloning disease genes for monogenic disorders, the architects of the projects reasoned that complex human diseases were tractable to positional cloning methods. However, a schism emerged in the field, with hot debates regarding two competing hypotheses being publicly waged. These opposing hypotheses pertained to the anticipated allelic spectrum and frequency of disease variants associated with common, complex disease. The common disease, common variant hypothesis (CD/CV) stated that a few common allelic variants could account for the genetic variance in disease susceptibility, whereas the rare variant (CD/RV) hypothesis stated that DNA sequence variation at any gene causing disease could encompass a wide range of possibilities, with the most extreme being that each mutation is only found once in the population. The practical consequence of the debate can be broken into two parts. If the CD/CV hypothesis is true, then application of the positional cloning paradigm to map disease genes would be eminently more feasible, as a common allele would be easier to locate. Conversely, if rare variants cause common disease, then identifying these genetic susceptibility variants would be challenging. Whether a disease is caused by rare or common alleles will have an impact on clinical applications, such as designing prognostic assays, or planning therapeutic interventions; fewer susceptibility alleles will simplify assay design, and the associated reduction in costs would amortize if a universally applicable therapy can be deployed. A current review of the literature suggests that both these hypotheses are correct, depending on the gene and disease examined. Although the controversial debate is revived with the identification of each new disease gene, the time has come to integrate both hypotheses in a manner that best explains biological variation in natural populations. The allelic spectrum of variation in a particular gene may be better explained by one of the two hypotheses but, for a multifactorial trait, a composite encompassing all influential genes needs to be constructed.

Entities:  

Mesh:

Year:  2007        PMID: 17984539     DOI: 10.1007/978-1-59745-389-9_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  58 in total

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2.  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
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3.  Approaches for evaluating rare polymorphisms in genetic association studies.

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4.  Comparison of haplotype-based statistical tests for disease association with rare and common variants.

Authors:  Ananda S Datta; Swati Biswas
Journal:  Brief Bioinform       Date:  2015-09-02       Impact factor: 11.622

5.  High-throughput, high-accuracy array-based resequencing.

Authors:  Jianbiao Zheng; Martin Moorhead; Li Weng; Farooq Siddiqui; Victoria E H Carlton; James S Ireland; Liana Lee; Joseph Peterson; Jennifer Wilkins; Sean Lin; Zhengyan Kan; Somasekar Seshagiri; Ronald W Davis; Malek Faham
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-02       Impact factor: 11.205

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

Authors:  Bingshan Li; Suzanne M Leal
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7.  Power of family-based association designs to detect rare variants in large pedigrees using imputed genotypes.

Authors:  Mohamad Saad; Ellen M Wijsman
Journal:  Genet Epidemiol       Date:  2013-11-15       Impact factor: 2.135

8.  Genomic convergence of genome-wide investigations for complex traits.

Authors:  Georgios D Kitsios; Elias Zintzaras
Journal:  Ann Hum Genet       Date:  2009-07-09       Impact factor: 1.670

9.  Combined cis-regulator elements as important mechanism affecting FXII plasma levels.

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Review 10.  I Believe I Can Fly!: Use of Drosophila as a Model Organism in Neuropsychopharmacology Research.

Authors:  Anjana S Narayanan; Adrian Rothenfluh
Journal:  Neuropsychopharmacology       Date:  2015-10-30       Impact factor: 7.853

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