Literature DB >> 18398418

Genome-wide association studies for complex traits: consensus, uncertainty and challenges.

Mark I McCarthy1, Gonçalo R Abecasis, Lon R Cardon, David B Goldstein, Julian Little, John P A Ioannidis, Joel N Hirschhorn.   

Abstract

The past year has witnessed substantial advances in understanding the genetic basis of many common phenotypes of biomedical importance. These advances have been the result of systematic, well-powered, genome-wide surveys exploring the relationships between common sequence variation and disease predisposition. This approach has revealed over 50 disease-susceptibility loci and has provided insights into the allelic architecture of multifactorial traits. At the same time, much has been learned about the successful prosecution of association studies on such a scale. This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.

Mesh:

Year:  2008        PMID: 18398418     DOI: 10.1038/nrg2344

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  1196 in total

1.  Candidate genes versus genome-wide associations: which are better for detecting genetic susceptibility to infectious disease?

Authors:  W Amos; E Driscoll; J I Hoffman
Journal:  Proc Biol Sci       Date:  2010-10-06       Impact factor: 5.349

2.  Genetic association test for multiple traits at gene level.

Authors:  Xiaobo Guo; Zhifa Liu; Xueqin Wang; Heping Zhang
Journal:  Genet Epidemiol       Date:  2012-10-02       Impact factor: 2.135

Review 3.  Data-driven methods to discover molecular determinants of serious adverse drug events.

Authors:  A P Chiang; A J Butte
Journal:  Clin Pharmacol Ther       Date:  2009-01-28       Impact factor: 6.875

4.  Genome-wide interrogation of germline genetic variation associated with treatment response in childhood acute lymphoblastic leukemia.

Authors:  Jun J Yang; Cheng Cheng; Wenjian Yang; Deqing Pei; Xueyuan Cao; Yiping Fan; Stanley B Pounds; Geoffrey Neale; Lisa R Treviño; Deborah French; Dario Campana; James R Downing; William E Evans; Ching-Hon Pui; Meenakshi Devidas; W P Bowman; Bruce M Camitta; Cheryl L Willman; Stella M Davies; Michael J Borowitz; William L Carroll; Stephen P Hunger; Mary V Relling
Journal:  JAMA       Date:  2009-01-28       Impact factor: 56.272

5.  Investigating the effect of genetic background on proteinuria and renal injury using two hypertensive strains.

Authors:  Matthew Packard; Yasser Saad; William T Gunning; Shalini Gupta; Joseph Shapiro; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2009-01-28

6.  Identifying 5 Common Psychiatric Disorders Associated Chemicals Through Integrative Analysis of Genome-Wide Association Study and Chemical-Gene Interaction Datasets.

Authors:  Shiqiang Cheng; Yan Wen; Mei Ma; Lu Zhang; Li Liu; Xin Qi; Bolun Cheng; Chujun Liang; Ping Li; Om Prakash Kafle; Feng Zhang
Journal:  Schizophr Bull       Date:  2020-04-15       Impact factor: 9.306

7.  A multivariate distance-based analytic framework for connectome-wide association studies.

Authors:  Zarrar Shehzad; Clare Kelly; Philip T Reiss; R Cameron Craddock; John W Emerson; Katie McMahon; David A Copland; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2014-02-28       Impact factor: 6.556

Review 8.  Network analysis of GWAS data.

Authors:  Mark D M Leiserson; Jonathan V Eldridge; Sohini Ramachandran; Benjamin J Raphael
Journal:  Curr Opin Genet Dev       Date:  2013-11-26       Impact factor: 5.578

Review 9.  The search for genetic polymorphisms in the homocysteine/folate pathway that contribute to the etiology of human neural tube defects.

Authors:  Anne M Molloy; Lawrence C Brody; James L Mills; John M Scott; Peadar N Kirke
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2009-04

10.  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

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