Genetic Epidemiology, Psychiatric Genetics, Asthma Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
QIMR Home Page
GenEpi Home Page
Publications
Contacts
Research
Staff Index
Collaborators
Software Tools
Computing Resources
Studies
Search
GenEpi Intranet
PMID
18852200
TITLE
Practical aspects of imputation-driven meta-analysis of genome-wide association studies.
ABSTRACT
Motivated by the overwhelming success of genome-wide association studies, droves of researchers are working vigorously to exchange and to combine genetic data to expediently discover genetic risk factors for common human traits. The primary tools that fuel these new efforts are imputation, allowing researchers who have collected data on a diversity of genotype platforms to share data in a uniformly exchangeable format, and meta-analysis for pooling statistical support for a genotype-phenotype association. As many groups are forming collaborations to engage in these efforts, this review collects a series of guidelines, practical detail and learned experiences from a variety of individuals who have contributed to the subject.
DATE PUBLISHED
2008 Oct 15
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2008/10/15 09:00
medline 2009/01/07 09:00
entrez 2008/10/15 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
de Bakker PI de Bakker Paul I W PI Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School-Partners Healthcare Systems Center for Genetics and Genomics, Boston, MA 02115, USA. pdebakker@rics.bwh.harvard.edu
Ferreira MA Ferreira Manuel A R MA
Jia X Jia Xiaoming X
Neale BM Neale Benjamin M BM
Raychaudhuri S Raychaudhuri Soumya S
Voight BF Voight Benjamin F BF
INVESTIGATORS
JOURNAL
VOLUME: 17
ISSUE: R2
TITLE: Human molecular genetics
ISOABBREVIATION: Hum. Mol. Genet.
YEAR: 2008
MONTH: Oct
DAY: 15
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1460-2083
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Hum Mol Genet
COUNTRY: England
ISSNLINKING: 0964-6906
NLMUNIQUEID: 9208958
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
Cites Biometrics. 1999 Dec;55(4):997-1004 11315092
Cites Genet Epidemiol. 2008 May;32(4):381-5 18348202
Cites Bioinformatics. 2003 Jan;19(1):149-50 12499305
Cites Nat Genet. 2004 Apr;36(4):388-93 15052270
Cites Nat Genet. 2005 Aug;37(8):868-72 16041375
Cites Nat Genet. 2005 Nov;37(11):1243-6 16228001
Cites Nat Genet. 2006 Jun;38(6):663-7 16715096
Cites Nat Genet. 2006 Jun;38(6):659-62 16715099
Cites Nat Genet. 2006 Aug;38(8):904-9 16862161
Cites Science. 2007 May 11;316(5826):889-94 17434869
Cites Science. 2007 Jun 1;316(5829):1331-6 17463246
Cites Science. 2007 Jun 1;316(5829):1341-5 17463248
Cites Science. 2007 Jun 1;316(5829):1336-41 17463249
Cites Nat Genet. 2008 May;40(5):638-45 18372903
Cites Nat Genet. 2008 May;40(5):584-91 18391950
Cites J Clin Invest. 2008 Jul;118(7):2620-8 18521185
Cites Am J Hum Genet. 2008 Jul;83(1):112-9 18589396
Cites Nat Genet. 2008 Aug;40(8):955-62 18587394
Cites PLoS Genet. 2008 Aug;4(8):e1000167 18769715
Cites Am J Med Genet B Neuropsychiatr Genet. 2008 Oct 5;147B(7):1288-94 18500721
Cites Nat Genet. 2008 Oct;40(10):1216-23 18794853
Cites PLoS Genet. 2008 Dec;4(12):e1000279 19057666
Cites Nat Genet. 2008 Sep;40(9):1056-8 18711365
Cites Nat Genet. 2009 Apr;41(4):399-406 19305408
Cites Nature. 2007 Jun 7;447(7145):655-60 17554299
Cites Nature. 2007 Jun 7;447(7145):661-78 17554300
Cites Nat Genet. 2007 Jul;39(7):906-13 17572673
Cites PLoS Genet. 2007 Jul;3(7):e114 17676998
Cites PLoS Genet. 2006 Dec;2(12):e190 17194218
Cites Am J Hum Genet. 2007 Sep;81(3):559-75 17701901
Cites Nat Genet. 2007 Sep;39(9):1045-51 17728769
Cites PLoS One. 2007;2(9):e841 17786212
Cites Nature. 2007 Oct 18;449(7164):851-61 17943122
Cites BMJ. 2007 Nov 3;335(7626):914-6 17974687
Cites Bioinformatics. 2007 Nov 15;23(22):3105-7 17872914
Cites Nat Genet. 2008 Feb;40(2):161-9 18193043
Cites Nat Genet. 2008 Feb;40(2):198-203 18193045
Cites Hum Genet. 2008 Feb;123(1):1-14 18026754
Cites Genet Epidemiol. 2008 Apr;32(3):227-34 18300295
Cites Genet Med. 2002 Mar-Apr;4(2):45-61 11882781
GRANTS
GRANTID AGENCY COUNTRY
K08 AR055688 NIAMS NIH HHS United States
K08 AR055688-02 NIAMS NIH HHS United States
K08 AR055688-03 NIAMS NIH HHS United States
K08 KAR055688A PHS HHS United States
T32 AR007530-23 NIAMS NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Data Interpretation, Statistical
Genetic Predisposition to Disease
Genome, Human genetics
Genome-Wide Association Study standards
Humans standards
Meta-Analysis as Topic standards
Phenotype standards
Polymorphism, Single Nucleotide standards
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
PMC2782358 NLM