Literature DB >> 17634446

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

David J Hunter1, Peter Kraft.   

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Year:  2007        PMID: 17634446     DOI: 10.1056/NEJMp078120

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


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  61 in total

Review 1.  Genome-wide association studies of chronic kidney disease: what have we learned?

Authors:  Conall M O'Seaghdha; Caroline S Fox
Journal:  Nat Rev Nephrol       Date:  2011-12-06       Impact factor: 28.314

Review 2.  Five years of GWAS discovery.

Authors:  Peter M Visscher; Matthew A Brown; Mark I McCarthy; Jian Yang
Journal:  Am J Hum Genet       Date:  2012-01-13       Impact factor: 11.025

3.  Powerful SNP-set analysis for case-control genome-wide association studies.

Authors:  Michael C Wu; Peter Kraft; Michael P Epstein; Deanne M Taylor; Stephen J Chanock; David J Hunter; Xihong Lin
Journal:  Am J Hum Genet       Date:  2010-06-11       Impact factor: 11.025

4.  The State of Cardiovascular Genomics: Abundant Data, Limited Information.

Authors:  Stella Aslibekyan; Edward A Ruiz-Narváez
Journal:  Rev Esp Cardiol (Engl Ed)       Date:  2017-04-08

5.  Principles for the ethical analysis of clinical and translational research.

Authors:  Jonathan A L Gelfond; Elizabeth Heitman; Brad H Pollock; Craig M Klugman
Journal:  Stat Med       Date:  2011-07-12       Impact factor: 2.373

Review 6.  Genome-wide association studies: progress and potential for drug discovery and development.

Authors:  Stephen F Kingsmore; Ingrid E Lindquist; Joann Mudge; Damian D Gessler; William D Beavis
Journal:  Nat Rev Drug Discov       Date:  2008-03       Impact factor: 84.694

7.  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

8.  Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

Authors:  Jason D Boardman; Benjamin W Domingue; Casey L Blalock; Brett C Haberstick; Kathleen Mullan Harris; Matthew B McQueen
Journal:  Demography       Date:  2014-02

Review 9.  Using microarrays to study the microenvironment in tumor biology: the crucial role of statistics.

Authors:  Stuart G Baker; Barnett S Kramer
Journal:  Semin Cancer Biol       Date:  2008-03-26       Impact factor: 15.707

10.  Identification of new SLE-associated genes with a two-step Bayesian study design.

Authors:  D L Armstrong; A Reiff; B L Myones; F P Quismorio; M Klein-Gitelman; D McCurdy; L Wagner-Weiner; E Silverman; J O Ojwang; K M Kaufman; J A Kelly; J T Merrill; J B Harley; S-C Bae; T J Vyse; G S Gilkeson; P M Gaffney; K L Moser; C Putterman; J C Edberg; E E Brown; J Ziegler; C D Langefeld; R Zidovetzki; C O Jacob
Journal:  Genes Immun       Date:  2009-05-14       Impact factor: 2.676

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