Literature DB >> 20235850

Genome-wide association studies and beyond.

John S Witte1.   

Abstract

Genome-wide association studies (GWAS) provide an important avenue for undertaking an agnostic evaluation of the association between common genetic variants and risk of disease. Recent advances in our understanding of human genetic variation and the technology to measure such variation have made GWAS feasible. Over the past few years a multitude of GWAS have identified and replicated many associated variants. These findings are enriching our knowledge about the genetic basis of disease and leading some to advocate using GWA study results for genetic testing. For many of the GWA study results, however, the underlying mechanisms remain unclear and the findings explain only a limited amount of heritability. These issues may be clarified by more detailed investigations, including analyses of less common variants, sequence-level data, and environmental exposures. Such studies should help clarify the potential value of genetic testing to the public's health.

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Year:  2010        PMID: 20235850      PMCID: PMC3997166          DOI: 10.1146/annurev.publhealth.012809.103723

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  86 in total

1.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

Review 3.  A gene-centric approach to genome-wide association studies.

Authors:  Eric Jorgenson; John S Witte
Journal:  Nat Rev Genet       Date:  2006-11       Impact factor: 53.242

4.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

5.  Personal genomes: The case of the missing heritability.

Authors:  Brendan Maher
Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

6.  The common colorectal cancer predisposition SNP rs6983267 at chromosome 8q24 confers potential to enhanced Wnt signaling.

Authors:  Sari Tuupanen; Mikko Turunen; Rainer Lehtonen; Outi Hallikas; Sakari Vanharanta; Teemu Kivioja; Mikael Björklund; Gonghong Wei; Jian Yan; Iina Niittymäki; Jukka-Pekka Mecklin; Heikki Järvinen; Ari Ristimäki; Mariachiara Di-Bernardo; Phil East; Luis Carvajal-Carmona; Richard S Houlston; Ian Tomlinson; Kimmo Palin; Esko Ukkonen; Auli Karhu; Jussi Taipale; Lauri A Aaltonen
Journal:  Nat Genet       Date:  2009-06-28       Impact factor: 38.330

7.  Genome-wide association study identifies a second prostate cancer susceptibility variant at 8q24.

Authors:  Julius Gudmundsson; Patrick Sulem; Andrei Manolescu; Laufey T Amundadottir; Daniel Gudbjartsson; Agnar Helgason; Thorunn Rafnar; Jon T Bergthorsson; Bjarni A Agnarsson; Adam Baker; Asgeir Sigurdsson; Kristrun R Benediktsdottir; Margret Jakobsdottir; Jianfeng Xu; Thorarinn Blondal; Jelena Kostic; Jielin Sun; Shyamali Ghosh; Simon N Stacey; Magali Mouy; Jona Saemundsdottir; Valgerdur M Backman; Kristleifur Kristjansson; Alejandro Tres; Alan W Partin; Marjo T Albers-Akkers; Javier Godino-Ivan Marcos; Patrick C Walsh; Dorine W Swinkels; Sebastian Navarrete; Sarah D Isaacs; Katja K Aben; Theresa Graif; John Cashy; Manuel Ruiz-Echarri; Kathleen E Wiley; Brian K Suarez; J Alfred Witjes; Mike Frigge; Carole Ober; Eirikur Jonsson; Gudmundur V Einarsson; Jose I Mayordomo; Lambertus A Kiemeney; William B Isaacs; William J Catalona; Rosa B Barkardottir; Jeffrey R Gulcher; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

8.  Population genomics: laying the groundwork for genetic disease modeling and targeting.

Authors:  J Gulcher; K Stefansson
Journal:  Clin Chem Lab Med       Date:  1998-08       Impact factor: 3.694

Review 9.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

10.  Genome-wide association studies of cancer.

Authors:  Eric Jorgenson; John S Witte
Journal:  Future Oncol       Date:  2007-08       Impact factor: 3.404

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  56 in total

Review 1.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

Review 2.  What is personalized medicine and what should it replace?

Authors:  David C Whitcomb
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-05-22       Impact factor: 46.802

3.  A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes.

Authors:  Christine Q Chang; Ajay Yesupriya; Jessica L Rowell; Camilla B Pimentel; Melinda Clyne; Marta Gwinn; Muin J Khoury; Anja Wulf; Sheri D Schully
Journal:  Eur J Hum Genet       Date:  2013-07-24       Impact factor: 4.246

4.  Novel Variants of ELP2 and PIAS1 in the Interferon Gamma Signaling Pathway Are Associated with Non-Small Cell Lung Cancer Survival.

Authors:  Yu Chen Zhao; Dongfang Tang; Sen Yang; Hongliang Liu; Sheng Luo; Thomas E Stinchcombe; Carolyn Glass; Li Su; Sipeng Shen; David C Christiani; Qingyi Wei
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-06-03       Impact factor: 4.254

5.  Association between functional polymorphisms in genes involved in the MAPK signaling pathways and cutaneous melanoma risk.

Authors:  Hongliang Liu; Li-E Wang; Zhensheng Liu; Wei V Chen; Christopher I Amos; Jeffrey E Lee; Mark M Iles; Matthew H Law; Jennifer H Barrett; Grant W Montgomery; John C Taylor; Stuart MacGregor; Anne E Cust; Julia A Newton Bishop; Nicholas K Hayward; D Timothy Bishop; Graham J Mann; Paul Affleck; Qingyi Wei
Journal:  Carcinogenesis       Date:  2013-01-04       Impact factor: 4.944

Review 6.  Systems genetics in "-omics" era: current and future development.

Authors:  Hong Li
Journal:  Theory Biosci       Date:  2012-11-09       Impact factor: 1.919

7.  Identifying Novel Gene Variants in Coronary Artery Disease and Shared Genes With Several Cardiovascular Risk Factors.

Authors:  Marissa LeBlanc; Verena Zuber; Bettina Kulle Andreassen; Aree Witoelar; Lingyao Zeng; Francesco Bettella; Yunpeng Wang; Linda K McEvoy; Wesley K Thompson; Andrew J Schork; Sjur Reppe; Elizabeth Barrett-Connor; Symen Ligthart; Abbas Dehghan; Kaare M Gautvik; Christopher P Nelson; Heribert Schunkert; Nilesh J Samani; Paul M Ridker; Daniel I Chasman; Pål Aukrust; Srdjan Djurovic; Arnoldo Frigessi; Rahul S Desikan; Anders M Dale; Ole A Andreassen
Journal:  Circ Res       Date:  2015-10-20       Impact factor: 17.367

8.  Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array.

Authors:  Thomas J Hoffmann; Mark N Kvale; Stephanie E Hesselson; Yiping Zhan; Christine Aquino; Yang Cao; Simon Cawley; Elaine Chung; Sheryl Connell; Jasmin Eshragh; Marcia Ewing; Jeremy Gollub; Mary Henderson; Earl Hubbell; Carlos Iribarren; Jay Kaufman; Richard Z Lao; Yontao Lu; Dana Ludwig; Gurpreet K Mathauda; William McGuire; Gangwu Mei; Sunita Miles; Matthew M Purdy; Charles Quesenberry; Dilrini Ranatunga; Sarah Rowell; Marianne Sadler; Michael H Shapero; Ling Shen; Tanushree R Shenoy; David Smethurst; Stephen K Van den Eeden; Larry Walter; Eunice Wan; Reid Wearley; Teresa Webster; Christopher C Wen; Li Weng; Rachel A Whitmer; Alan Williams; Simon C Wong; Chia Zau; Andrea Finn; Catherine Schaefer; Pui-Yan Kwok; Neil Risch
Journal:  Genomics       Date:  2011-04-30       Impact factor: 5.736

9.  Rare genetic variants and treatment response: sample size and analysis issues.

Authors:  John S Witte
Journal:  Stat Med       Date:  2012-06-27       Impact factor: 2.373

10.  The impact of improved microarray coverage and larger sample sizes on future genome-wide association studies.

Authors:  Karla J Lindquist; Eric Jorgenson; Thomas J Hoffmann; John S Witte
Journal:  Genet Epidemiol       Date:  2013-03-25       Impact factor: 2.135

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