Literature DB >> 21226609

Genome-wide association studies: results from the first few years and potential implications for clinical medicine.

Joel N Hirschhorn1, Zofia K Z Gajdos.   

Abstract

Most common diseases and quantitative traits are heritable: determined in part by genetic variation within the population. The inheritance is typically polygenic in that combined effects of variants in numerous genes, plus nongenetic factors, determine outcome. The genes influencing common disease and quantitative traits remained largely unknown until the implementation in 2006 of genome-wide association (GWA) studies that comprehensively surveyed common genetic variation (frequency>5%). By 2010, GWA studies identified>1,000 genetic variants for polygenic traits. Typically, these variants together account for a modest fraction (10%-30%) of heritability, but they have highlighted genes in both known and new biological pathways and genes of unknown function. This initial effort prefigures new studies aimed at rarer variation and decades of functional work to decipher newly glimpsed biology. The greatest impact of GWA studies may not be in predictive medicine but rather in the development over the next decades of therapies based on novel biological insights.

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Substances:

Year:  2011        PMID: 21226609     DOI: 10.1146/annurev.med.091708.162036

Source DB:  PubMed          Journal:  Annu Rev Med        ISSN: 0066-4219            Impact factor:   13.739


  48 in total

1.  Analytical and simulation methods for estimating the potential predictive ability of genetic profiling: a comparison of methods and results.

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2.  Advancing the biobehavioral research of fatigue with genetics and genomics.

Authors:  Debra E Lyon; Nancy L McCain; Rita H Pickler; Cindy Munro; R K Elswick
Journal:  J Nurs Scholarsh       Date:  2011-07-29       Impact factor: 3.176

3.  GWA meta-analysis of personality in Korean cohorts.

Authors:  Bo-Hye Kim; Han-Na Kim; Seung-Ju Roh; Mi Kyeong Lee; Sarah Yang; Seung Ku Lee; Yeon-Ah Sung; Hye Won Chung; Nam H Cho; Chol Shin; Joohon Sung; Hyung-Lae Kim
Journal:  J Hum Genet       Date:  2015-05-21       Impact factor: 3.172

Review 4.  The immunogenetic architecture of autoimmune disease.

Authors:  An Goris; Adrian Liston
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

5.  An excess of risk-increasing low-frequency variants can be a signal of polygenic inheritance in complex diseases.

Authors:  Yingleong Chan; Elaine T Lim; Niina Sandholm; Sophie R Wang; Amy Jayne McKnight; Stephan Ripke; Mark J Daly; Benjamin M Neale; Rany M Salem; Joel N Hirschhorn
Journal:  Am J Hum Genet       Date:  2014-03-06       Impact factor: 11.025

6.  Personalized genomic results: analysis of informational needs.

Authors:  Tara J Schmidlen; Lisa Wawak; Rachel Kasper; J Felipe García-España; Michael F Christman; Erynn S Gordon
Journal:  J Genet Couns       Date:  2014-02-03       Impact factor: 2.537

Review 7.  Population sciences, translational research, and the opportunities and challenges for genomics to reduce the burden of cancer in the 21st century.

Authors:  Muin J Khoury; Steven B Clauser; Andrew N Freedman; Elizabeth M Gillanders; Russ E Glasgow; William M P Klein; Sheri D Schully
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-07-27       Impact factor: 4.254

8.  Genetic variation in the inflammation and innate immunity pathways and colorectal cancer risk.

Authors:  Hansong Wang; Darin Taverna; Daniel O Stram; Barbara K Fortini; Iona Cheng; Lynne R Wilkens; Terrilea Burnett; Karen W Makar; Noralane M Lindor; John L Hopper; Steve Gallinger; John A Baron; Robert Haile; Laurence N Kolonel; Brian E Henderson; Polly A Newcomb; Graham Casey; David Duggan; Cornelia M Ulrich; Loïc Le Marchand
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-09-17       Impact factor: 4.254

9.  The insulin-like growth factor 1 receptor (IGF1R) contributes to reduced size in dogs.

Authors:  Barbara C Hoopes; Maud Rimbault; David Liebers; Elaine A Ostrander; Nathan B Sutter
Journal:  Mamm Genome       Date:  2012-08-18       Impact factor: 2.957

Review 10.  The genetics of NAFLD.

Authors:  Quentin M Anstee; Christopher P Day
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2013-09-24       Impact factor: 46.802

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