Literature DB >> 18500721

The positives, protocols, and perils of genome-wide association.

Benjamin M Neale1, Shaun Purcell.   

Abstract

Genome-wide association aims to comprehensively survey genetic variation for the purposes of disease and trait mapping. We provide a brief history of the development of genetic technology necessary to realize genome-wide association. From there we identify and review the publicly available resources for conducting such work including the molecular technologies, genomic databases, and analytic tools. Following on from the analytic tools, we highlight common analytic considerations, ranging from study design, quality control, and data cleaning to association analysis and replication. We conclude with a look toward future developments such as the analysis of copy number variation and integration of expression and epigenetic phenomenon into genome-wide association.

Mesh:

Year:  2008        PMID: 18500721     DOI: 10.1002/ajmg.b.30747

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  16 in total

1.  Linkage-disequilibrium-based binning affects the interpretation of GWASs.

Authors:  Andrea Christoforou; Michael Dondrup; Morten Mattingsdal; Manuel Mattheisen; Sudheer Giddaluru; Markus M Nöthen; Marcella Rietschel; Sven Cichon; Srdjan Djurovic; Ole A Andreassen; Inge Jonassen; Vidar M Steen; Pål Puntervoll; Stéphanie Le Hellard
Journal:  Am J Hum Genet       Date:  2012-03-22       Impact factor: 11.025

2.  A quality control algorithm for filtering SNPs in genome-wide association studies.

Authors:  Monnat Pongpanich; Patrick F Sullivan; Jung-Ying Tzeng
Journal:  Bioinformatics       Date:  2010-05-25       Impact factor: 6.937

3.  Practical aspects of imputation-driven meta-analysis of genome-wide association studies.

Authors:  Paul I W de Bakker; Manuel A R Ferreira; Xiaoming Jia; Benjamin M Neale; Soumya Raychaudhuri; Benjamin F Voight
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

4.  Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease.

Authors:  Steven G Potkin; Guia Guffanti; Anita Lakatos; Jessica A Turner; Frithjof Kruggel; James H Fallon; Andrew J Saykin; Alessandro Orro; Sara Lupoli; Erika Salvi; Michael Weiner; Fabio Macciardi
Journal:  PLoS One       Date:  2009-08-07       Impact factor: 3.240

5.  Genome-wide association studies: a primer.

Authors:  A Corvin; N Craddock; P F Sullivan
Journal:  Psychol Med       Date:  2009-11-09       Impact factor: 7.723

Review 6.  Genetics, environment, and gene-environment interactions in the development of systemic rheumatic diseases.

Authors:  Jeffrey A Sparks; Karen H Costenbader
Journal:  Rheum Dis Clin North Am       Date:  2014-09-02       Impact factor: 2.670

7.  Family-based genome-wide association scan of attention-deficit/hyperactivity disorder.

Authors:  Eric Mick; Alexandre Todorov; Susan Smalley; Xiaolan Hu; Sandra Loo; Richard D Todd; Joseph Biederman; Deirdre Byrne; Bryan Dechairo; Allan Guiney; James McCracken; James McGough; Stanley F Nelson; Angela M Reiersen; Timothy E Wilens; Janet Wozniak; Benjamin M Neale; Stephen V Faraone
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-05-14       Impact factor: 8.829

8.  Genome-wide association studies in systemic lupus erythematosus: a perspective.

Authors:  Deborah S Cunninghame Graham
Journal:  Arthritis Res Ther       Date:  2009-07-09       Impact factor: 5.156

9.  Methylation at SLC6A4 is linked to family history of child abuse: an examination of the Iowa Adoptee sample.

Authors:  Steven R H Beach; Gene H Brody; Alexandre A Todorov; Tracy D Gunter; Robert A Philibert
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-03-05       Impact factor: 3.568

10.  Phenopedia and Genopedia: disease-centered and gene-centered views of the evolving knowledge of human genetic associations.

Authors:  W Yu; M Clyne; M J Khoury; M Gwinn
Journal:  Bioinformatics       Date:  2009-10-27       Impact factor: 6.937

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