Literature DB >> 15829237

Genetic association studies of complex traits: design and analysis issues.

Christopher Newton-Cheh1, Joel N Hirschhorn.   

Abstract

Most common diseases and many important quantitative traits are complex genetic traits, with multiple genetic and environmental variables contributing to the observed phenotype. Because of the multi-factorial nature of complex traits, each individual genetic variant generally has only a modest effect, and the interaction of genetic variants with each other or with environmental factors can potentially be quite important in determining the observed phenotype. It remains largely unknown what sort of genetic variants explain inherited variation in complex traits, but recent evidence suggests that common genetic variants will explain at least some of the inherited variation in susceptibility to common disease. Genetic association studies, in which the allele or genotype frequencies at markers are determined in affected individuals and compared with those of controls (either population- or family-based), may be an effective approach to detecting the effects of common variants with modest effects. With the explosion in single nucleotide polymorphism (SNP) discovery and genotyping technologies, large-scale association studies have become feasible, and small-scale association studies have become plentiful. We review the different types of association studies and discuss issues that are important to consider when performing and interpreting association studies of complex genetic traits. Heritable and accurately measured phenotypes, carefully matched large samples, well-chosen genetic markers, and adequate standards in genotyping, analysis, and interpretation are all integral parts of a high-quality association study.

Mesh:

Year:  2005        PMID: 15829237     DOI: 10.1016/j.mrfmmm.2005.01.006

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  80 in total

1.  A common missense variant in the LRRK2 gene, Gly2385Arg, associated with Parkinson's disease risk in Taiwan.

Authors:  Alessio Di Fonzo; Yah-Huei Wu-Chou; Chin-Song Lu; Marina van Doeselaar; Erik J Simons; Christan F Rohé; Hsiu-Chen Chang; Rou-Shayn Chen; Yi-Hsin Weng; Nicola Vanacore; Guido J Breedveld; Ben A Oostra; Vincenzo Bonifati
Journal:  Neurogenetics       Date:  2006-04-22       Impact factor: 2.660

2.  Allelic variation in cell wall candidate genes affecting solid wood properties in natural populations and land races of Pinus radiata.

Authors:  S K Dillon; M Nolan; W Li; C Bell; H X Wu; S G Southerton
Journal:  Genetics       Date:  2010-05-24       Impact factor: 4.562

3.  Association study of TRPC4 as a candidate gene for generalized epilepsy with photosensitivity.

Authors:  Sarah von Spiczak; Hiltrud Muhle; Ingo Helbig; Carolien G F de Kovel; Jochen Hampe; Verena Gaus; Bobby P C Koeleman; Dick Lindhout; Stefan Schreiber; Thomas Sander; Ulrich Stephani
Journal:  Neuromolecular Med       Date:  2010-06-24       Impact factor: 3.843

4.  Association and heterogeneity at the GAPDH locus in Alzheimer's disease.

Authors:  Mariet Allen; Claire Cox; Olivia Belbin; Li Ma; Gina D Bisceglio; Samantha L Wilcox; Chanley C Howell; Talisha A Hunter; Oliver Culley; Louise P Walker; Minerva M Carrasquillo; Dennis W Dickson; Ronald C Petersen; Neill R Graff-Radford; Steven G Younkin; Nilüfer Ertekin-Taner
Journal:  Neurobiol Aging       Date:  2010-09-23       Impact factor: 4.673

5.  SNP in the genome-wide association study hotspot on chromosome 9p21 confers susceptibility to diabetic nephropathy in type 1 diabetes.

Authors:  E Fagerholm; E Ahlqvist; C Forsblom; N Sandholm; A Syreeni; M Parkkonen; A J McKnight; L Tarnow; A P Maxwell; H-H Parving; L Groop; P-H Groop
Journal:  Diabetologia       Date:  2012-05-29       Impact factor: 10.122

6.  The glu298asp polymorphism in the nitric oxide synthase 3 gene is associated with the risk of ischemic stroke in two large independent case-control studies.

Authors:  Klaus Berger; Florian Stögbauer; Monika Stoll; Juergen Wellmann; Andreas Huge; Suzanne Cheng; Christof Kessler; Ulrich John; Gerd Assmann; E Bernd Ringelstein; Harald Funke
Journal:  Hum Genet       Date:  2006-12-13       Impact factor: 4.132

Review 7.  "Higher order" addiction molecular genetics: convergent data from genome-wide association in humans and mice.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Oluwatosin O Fatusin; Qing-Rong Liu; Carlo Contoreggi; Chuan-Yun Li; Kari Buck; John Crabbe
Journal:  Biochem Pharmacol       Date:  2007-07-25       Impact factor: 5.858

Review 8.  Electrophysiological Endophenotypes for Schizophrenia.

Authors:  Emily M Owens; Peter Bachman; David C Glahn; Carrie E Bearden
Journal:  Harv Rev Psychiatry       Date:  2016 Mar-Apr       Impact factor: 3.732

9.  Pharmacogenetic effect of an endothelin-1 haplotype on response to bucindolol therapy in chronic heart failure.

Authors:  Matthew R G Taylor; Dobromir Slavov; Kurt Humphrey; Lan Zhao; Jennifer Cockroft; Xiao Zhu; Philip Lavori; Michael R Bristow; Luisa Mestroni; Laura C Lazzeroni
Journal:  Pharmacogenet Genomics       Date:  2009-01       Impact factor: 2.089

10.  Zinc-gene interaction related to inflammatory/immune response in ageing.

Authors:  Eugenio Mocchegiani; Marco Malavolta
Journal:  Genes Nutr       Date:  2008-07       Impact factor: 5.523

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