Genetic Epidemiology, Translational Neurogenomics, Psychiatric 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
18682292
TITLE
Prediction of individual genetic risk of complex disease.
ABSTRACT
Most common diseases are caused by multiple genetic and environmental factors. In the last 2 years, genome-wide association studies (GWAS) have identified polymorphisms that are associated with risk to common disease, but the effect of any one risk allele is typically small. By combining information from many risk variants, will it be possible to predict accurately each individual person's genetic risk for a disease? In this review we consider the lessons from GWAS and the implications for genetic risk prediction to common disease. We conclude that with larger GWAS sample sizes or by combining studies, accurate prediction of genetic risk will be possible, even if the causal mutations or the mechanisms by which they affect susceptibility are unknown.
DATE PUBLISHED
2008 Jun
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2008/02/25
accepted 2008/07/08
aheadofprint 2008/08/28
pubmed 2008/08/07 09:00
medline 2009/01/08 09:00
entrez 2008/08/07 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Wray NR Wray Naomi R NR Genetic Epidemiology and Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, Australia. Naomi.Wray@qimr.edu.au
Goddard ME Goddard Michael E ME
Visscher PM Visscher Peter M PM
INVESTIGATORS
JOURNAL
VOLUME: 18
ISSUE: 3
TITLE: Current opinion in genetics & development
ISOABBREVIATION: Curr. Opin. Genet. Dev.
YEAR: 2008
MONTH: Jun
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0959-437X
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Curr Opin Genet Dev
COUNTRY: England
ISSNLINKING: 0959-437X
NLMUNIQUEID: 9111375
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
Review
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Biological Markers analysis
Disease genetics
Genetic Predisposition to Disease genetics
Genome-Wide Association Study genetics
Humans genetics
Individuality genetics
Prognosis genetics
Risk genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
REGISTRYNUMBER NAMEOFSUBSTANCE
0 Biological Markers
OTHER ID's