Literature DB >> 19079049

Progress and challenges in genome-wide association studies in humans.

Peter Donnelly1.   

Abstract

After more than a decade of hope and hype, researchers are finally making inroads into understanding the genetic basis of many common human diseases. The use of genome-wide association studies has broken the logjam, enabling genetic variants at specific loci to be associated with particular diseases. Genetic association data are now providing new routes to understanding the aetiology of disease, as well as new footholds on the long and difficult path to better treatment and disease prevention.

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Year:  2008        PMID: 19079049     DOI: 10.1038/nature07631

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  149 in total

1.  Human population dispersal "Out of Africa" estimated from linkage disequilibrium and allele frequencies of SNPs.

Authors:  Brian P McEvoy; Joseph E Powell; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2011-04-25       Impact factor: 9.043

2.  Systems genetics: the added value of gene expression.

Authors:  Peter M Visscher; Michael E Goddard
Journal:  HFSP J       Date:  2010-01-29

3.  Genetics and the causes of evolution: 150 years of progress since Darwin.

Authors:  Michael Bonsall; Brian Charlesworth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-27       Impact factor: 6.237

Review 4.  Phenotyping and genotyping neuropathic pain.

Authors:  Inna Belfer; Feng Dai
Journal:  Curr Pain Headache Rep       Date:  2010-06

5.  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

6.  The Bayesian lasso for genome-wide association studies.

Authors:  Jiahan Li; Kiranmoy Das; Guifang Fu; Runze Li; Rongling Wu
Journal:  Bioinformatics       Date:  2010-12-14       Impact factor: 6.937

7.  A general method for controlling the genome-wide type I error rate in linkage and association mapping experiments in plants.

Authors:  B U Müller; B Stich; H-P Piepho
Journal:  Heredity (Edinb)       Date:  2010-10-20       Impact factor: 3.821

8.  BAYESIAN LARGE-SCALE MULTIPLE REGRESSION WITH SUMMARY STATISTICS FROM GENOME-WIDE ASSOCIATION STUDIES.

Authors:  Xiang Zhu; Matthew Stephens
Journal:  Ann Appl Stat       Date:  2017-10-05       Impact factor: 2.083

9.  Testing gene-gene interactions in genome wide association studies.

Authors:  Jie Kate Hu; Xianlong Wang; Pei Wang
Journal:  Genet Epidemiol       Date:  2014-01-15       Impact factor: 2.135

Review 10.  Human genetic variation and its contribution to complex traits.

Authors:  Kelly A Frazer; Sarah S Murray; Nicholas J Schork; Eric J Topol
Journal:  Nat Rev Genet       Date:  2009-04       Impact factor: 53.242

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