Linked Life Data

18814308

Source:http://linkedlifedata.com/resource/pubmed/id/18814308

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-1-19
pubmed:abstractText
We quantify the degree to which LD differences exist in the human genome and investigates the consequences that variations in patterns of LD between populations can have on the power of case-control or family-trio association studies. Although only a small proportion of SNPs show significant LD differences (0.8-5%), these can introduce artificial signals of associations and reduce the power to detect true associations in case-control designs, even when meta-analytic approaches are used to account for stratification. We show that combining trios from different populations in the presence of significant LD differences can adversely affect power even though the number of trios has increased. Our results have implications on genetic studies conducted in populations with substantial population structure and show that the use of meta-analytic approaches or family-based designs to protect Type 1 error does not prevent loss of power due to differences in LD across populations.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1098-2272
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
128-35
pubmed:dateRevised
2011-3-1
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Power consequences of linkage disequilibrium variation between populations.
pubmed:affiliation
Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. teo@well.ox.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't