Literature DB >> 16244314

Gearing up for genome-wide gene-association studies.

Martin Farrall1, Andrew P Morris.   

Abstract

One of the grand challenges of human genetics to systematically map by gene-association susceptibility genes for complex diseases is underway. High-throughput genotyping platforms have been developed; a comprehensive map of human genetic variation (HapMap) to guide efficient marker selection is imminent and many researchers have assembled suitable cohorts of patients. Expectations are understandably high and it is timely to review the promise and pitfalls of this strategy.

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Year:  2005        PMID： 16244314     DOI： 10.1093/hmg/ddi273

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


  12 in total

1.  Bayesian graphical models for genomewide association studies.

Authors:  Claudio J Verzilli; Nigel Stallard; John C Whittaker
Journal:  Am J Hum Genet       Date:  2006-05-30       Impact factor: 11.025

2.  A flexible Bayesian framework for modeling haplotype association with disease, allowing for dominance effects of the underlying causative variants.

Authors:  Andrew P Morris
Journal:  Am J Hum Genet       Date:  2006-08-31       Impact factor: 11.025

3.  Database of genetic studies of bipolar disorder.

Authors:  John E Piletz; Xiaotong Zhang; Rajdeep Ranade; Chunyu Liu
Journal:  Psychiatr Genet       Date:  2011-04       Impact factor: 2.458

Review 4.  "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 5.  Pharmacoeconomic evaluations of pharmacogenetic and genomic screening programmes: a systematic review on content and adherence to guidelines.

Authors:  Stefan Vegter; Cornelis Boersma; Mark Rozenbaum; Bob Wilffert; Gerjan Navis; Maarten J Postma
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

Review 6.  Genomic approaches to coronary artery disease.

Authors:  Sandosh Padmanabhan; Claire Hastie; Dorairaj Prabhakaran; Anna F Dominczak
Journal:  Indian J Med Res       Date:  2010-11       Impact factor: 2.375

Review 7.  Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour.

Authors:  John F Peden; Martin Farrall
Journal:  Hum Mol Genet       Date:  2011-08-29       Impact factor: 6.150

Review 8.  Application of genome-wide single nucleotide polymorphism typing: simple association and beyond.

Authors:  J Raphael Gibbs; Andrew Singleton
Journal:  PLoS Genet       Date:  2006-10-06       Impact factor: 5.917

9.  Genetic region characterization (Gene RECQuest) - software to assist in identification and selection of candidate genes from genomic regions.

Authors:  Rajani S Sadasivam; Gayathri Sundar; Laura K Vaughan; Murat M Tanik; Donna K Arnett
Journal:  BMC Res Notes       Date:  2009-09-30

10.  A pragmatic suggestion for dealing with results for candidate genes obtained from genome wide association studies.

Authors:  David Curtis; Anna E Vine; Jo Knight
Journal:  BMC Genet       Date:  2007-05-10       Impact factor: 2.797
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