Literature DB >> 19207024

Collaborative genome-wide association studies of diverse diseases: programs of the NHGRI's office of population genomics.

Teri A Manolio1.   

Abstract

In the past 3 years, genome-wide association (GWA) studies have revolutionized the discovery of genetic variants associated with complex diseases. These studies present unique challenges in their conduct; particularly in the need for meticulous quality control of genotyping and for sample sizes large enough to withstand the severe penalty for multiple comparisons necessitated by testing hundreds of thousands of SNPs. They also present unique opportunities in the unprecedented detail with which they characterize an individual's genome and the potential for relating that information to any trait consistent with that person's informed consent. Such data exceed the abilities of any single group of investigators to mine them fully and by NIH policy are distributed to qualified investigators agreeing to specified terms of use. This report describes collaborative programs of the National Human Genome Research Institute's Office of Population Genomics for facilitating collection, analysis, interpretation, and dissemination of these data so that their research value can be maximized.

Entities:  

Mesh:

Year:  2009        PMID: 19207024      PMCID: PMC2714942          DOI: 10.2217/14622416.10.2.235

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  18 in total

1.  Drinking from the fire hose--statistical issues in genomewide association studies.

Authors:  David J Hunter; Peter Kraft
Journal:  N Engl J Med       Date:  2007-07-18       Impact factor: 91.245

2.  New models of collaboration in genome-wide association studies: the Genetic Association Information Network.

Authors:  Teri A Manolio; Laura Lyman Rodriguez; Lisa Brooks; Gonçalo Abecasis; Dennis Ballinger; Mark Daly; Peter Donnelly; Stephen V Faraone; Kelly Frazer; Stacey Gabriel; Pablo Gejman; Alan Guttmacher; Emily L Harris; Thomas Insel; John R Kelsoe; Eric Lander; Norma McCowin; Matthew D Mailman; Elizabeth Nabel; James Ostell; Elizabeth Pugh; Stephen Sherry; Patrick F Sullivan; John F Thompson; James Warram; David Wholley; Patrice M Milos; Francis S Collins
Journal:  Nat Genet       Date:  2007-09       Impact factor: 38.330

3.  Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families.

Authors:  E H Corder; A M Saunders; W J Strittmatter; D E Schmechel; P C Gaskell; G W Small; A D Roses; J L Haines; M A Pericak-Vance
Journal:  Science       Date:  1993-08-13       Impact factor: 47.728

4.  Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease.

Authors:  J P Hugot; M Chamaillard; H Zouali; S Lesage; J P Cézard; J Belaiche; S Almer; C Tysk; C A O'Morain; M Gassull; V Binder; Y Finkel; A Cortot; R Modigliani; P Laurent-Puig; C Gower-Rousseau; J Macry; J F Colombel; M Sahbatou; G Thomas
Journal:  Nature       Date:  2001-05-31       Impact factor: 49.962

Review 5.  Progress in defining the molecular basis of type 2 diabetes mellitus through susceptibility-gene identification.

Authors:  Mark I McCarthy
Journal:  Hum Mol Genet       Date:  2004-01-13       Impact factor: 6.150

6.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

7.  Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.

Authors:  Chiara Sabatti; Susan K Service; Anna-Liisa Hartikainen; Anneli Pouta; Samuli Ripatti; Jae Brodsky; Chris G Jones; Noah A Zaitlen; Teppo Varilo; Marika Kaakinen; Ulla Sovio; Aimo Ruokonen; Jaana Laitinen; Eveliina Jakkula; Lachlan Coin; Clive Hoggart; Andrew Collins; Hannu Turunen; Stacey Gabriel; Paul Elliot; Mark I McCarthy; Mark J Daly; Marjo-Riitta Järvelin; Nelson B Freimer; Leena Peltonen
Journal:  Nat Genet       Date:  2008-12-07       Impact factor: 38.330

8.  A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.

Authors:  Laura J Scott; Karen L Mohlke; Lori L Bonnycastle; Cristen J Willer; Yun Li; William L Duren; Michael R Erdos; Heather M Stringham; Peter S Chines; Anne U Jackson; Ludmila Prokunina-Olsson; Chia-Jen Ding; Amy J Swift; Narisu Narisu; Tianle Hu; Randall Pruim; Rui Xiao; Xiao-Yi Li; Karen N Conneely; Nancy L Riebow; Andrew G Sprau; Maurine Tong; Peggy P White; Kurt N Hetrick; Michael W Barnhart; Craig W Bark; Janet L Goldstein; Lee Watkins; Fang Xiang; Jouko Saramies; Thomas A Buchanan; Richard M Watanabe; Timo T Valle; Leena Kinnunen; Gonçalo R Abecasis; Elizabeth W Pugh; Kimberly F Doheny; Richard N Bergman; Jaakko Tuomilehto; Francis S Collins; Michael Boehnke
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

9.  Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Michael N Weedon; Cecilia M Lindgren; Timothy M Frayling; Katherine S Elliott; Hana Lango; Nicholas J Timpson; John R B Perry; Nigel W Rayner; Rachel M Freathy; Jeffrey C Barrett; Beverley Shields; Andrew P Morris; Sian Ellard; Christopher J Groves; Lorna W Harries; Jonathan L Marchini; Katharine R Owen; Beatrice Knight; Lon R Cardon; Mark Walker; Graham A Hitman; Andrew D Morris; Alex S F Doney; Mark I McCarthy; Andrew T Hattersley
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

10.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

View more
  31 in total

1.  Using PhenX measures to identify opportunities for cross-study analysis.

Authors:  Huaqin Pan; Kimberly A Tryka; Daniel J Vreeman; Wayne Huggins; Michael J Phillips; Jayashri P Mehta; Jacqueline H Phillips; Clement J McDonald; Heather A Junkins; Erin M Ramos; Carol M Hamilton
Journal:  Hum Mutat       Date:  2012-04-03       Impact factor: 4.878

2.  An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records.

Authors:  Jonathan S Schildcrout; Melissa A Basford; Jill M Pulley; Daniel R Masys; Dan M Roden; Deede Wang; Christopher G Chute; Iftikhar J Kullo; David Carrell; Peggy Peissig; Abel Kho; Joshua C Denny
Journal:  J Biomed Inform       Date:  2010-08-03       Impact factor: 6.317

3.  Debating clinical utility.

Authors:  Wylie Burke; A-M Laberge; N Press
Journal:  Public Health Genomics       Date:  2010-04-15       Impact factor: 2.000

4.  Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record.

Authors:  Marylyn D Ritchie; Joshua C Denny; Dana C Crawford; Andrea H Ramirez; Justin B Weiner; Jill M Pulley; Melissa A Basford; Kristin Brown-Gentry; Jeffrey R Balser; Daniel R Masys; Jonathan L Haines; Dan M Roden
Journal:  Am J Hum Genet       Date:  2010-04-01       Impact factor: 11.025

5.  Genome-wide association studies and beyond.

Authors:  John S Witte
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

Review 6.  Multiple sclerosis genetics--is the glass half full, or half empty?

Authors:  Jorge R Oksenberg; Sergio E Baranzini
Journal:  Nat Rev Neurol       Date:  2010-07-13       Impact factor: 42.937

7.  Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule.

Authors:  Bradley Malin; Kathleen Benitez; Daniel Masys
Journal:  J Am Med Inform Assoc       Date:  2011 Jan-Feb       Impact factor: 4.497

8.  Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.

Authors:  Peggy L Peissig; Luke V Rasmussen; Richard L Berg; James G Linneman; Catherine A McCarty; Carol Waudby; Lin Chen; Joshua C Denny; Russell A Wilke; Jyotishman Pathak; David Carrell; Abel N Kho; Justin B Starren
Journal:  J Am Med Inform Assoc       Date:  2012 Mar-Apr       Impact factor: 4.497

9.  Secure management of biomedical data with cryptographic hardware.

Authors:  Mustafa Canim; Murat Kantarcioglu; Bradley Malin
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-10-17

10.  Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.

Authors:  Bradley Malin; David Karp; Richard H Scheuermann
Journal:  J Investig Med       Date:  2010-01       Impact factor: 2.895

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.