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.
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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
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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
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