Source:http://linkedlifedata.com/resource/pubmed/id/20889494
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
23
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pubmed:dateCreated |
2010-11-18
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pubmed:abstractText |
Adjustment for population structure is necessary to avoid bias in genetic association studies of susceptibility variants for complex diseases. Population structure may differ from one genomic region to another due to the variability of individual ancestry associated with migration, random genetic drift or natural selection. Current association methods for correcting population stratification usually involve adjustment of global ancestry between study subjects.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
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pubmed:issn |
1367-4811
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:day |
1
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pubmed:volume |
26
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
2961-8
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pubmed:meshHeading |
pubmed-meshheading:20889494-Chromosome Mapping,
pubmed-meshheading:20889494-Genome-Wide Association Study,
pubmed-meshheading:20889494-Humans,
pubmed-meshheading:20889494-Polymorphism, Single Nucleotide,
pubmed-meshheading:20889494-Population Groups,
pubmed-meshheading:20889494-Principal Component Analysis,
pubmed-meshheading:20889494-Selection, Genetic
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pubmed:year |
2010
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pubmed:articleTitle |
Interrogating local population structure for fine mapping in genome-wide association studies.
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pubmed:affiliation |
Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA.
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pubmed:publicationType |
Journal Article,
Evaluation Studies,
Research Support, N.I.H., Extramural
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