File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Optimal selection strategies for QTL mapping using pooled DNA samples

TitleOptimal selection strategies for QTL mapping using pooled DNA samples
Authors
KeywordsDNA pooling
Experimental errors
QTL association analyses
Sample selection
SNPs
Issue Date2002
PublisherNature Publishing Group. The Journal's web site is located at http://www.nature.com/ejhg
Citation
European Journal Of Human Genetics, 2002, v. 10 n. 2, p. 125-132 How to Cite?
Abstract
The cost of large-scale association studies may be reduced substantially by analysis of pooled DNA from multiple individuals. Here we examine the optimal symmetric and asymmetric designs for pooling experiments for quantitative traits under a range of assumptions about the underlying genetic model and the sources of experimental errors in allele frequency estimation. The results indicate that, in the absence of experimental errors and for common alleles with additive effects, a symmetric pooling scheme comparing the top 27% with the bottom 27% of the trait distribution is optimal, extracting 80% the total information available. A symmetric design is not optimal for rare or recessive alleles, which require asymmetric (or other) pooling strategies. Allele frequency measurement errors reduce the optimal pooling fraction as well as the overall efficiency of the pooling design. In contrast, random variation in the amount of DNA contributed by individuals to a pool reduces only the overall efficiency of the pooling design. Our results emphasize the importance of minimising experimental errors and suggest a pooling fraction of around 20%.
Persistent Identifierhttp://hdl.handle.net/10722/143659
ISSN
2013 Impact Factor: 4.225
2013 SCImago Journal Rankings: 1.909
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorJawaid, Aen_HK
dc.contributor.authorBader, JSen_HK
dc.contributor.authorPurcell, Sen_HK
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorSham, Pen_HK
dc.date.accessioned2011-12-16T08:09:08Z-
dc.date.available2011-12-16T08:09:08Z-
dc.date.issued2002en_HK
dc.identifier.citationEuropean Journal Of Human Genetics, 2002, v. 10 n. 2, p. 125-132en_HK
dc.identifier.issn1018-4813en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143659-
dc.description.abstractThe cost of large-scale association studies may be reduced substantially by analysis of pooled DNA from multiple individuals. Here we examine the optimal symmetric and asymmetric designs for pooling experiments for quantitative traits under a range of assumptions about the underlying genetic model and the sources of experimental errors in allele frequency estimation. The results indicate that, in the absence of experimental errors and for common alleles with additive effects, a symmetric pooling scheme comparing the top 27% with the bottom 27% of the trait distribution is optimal, extracting 80% the total information available. A symmetric design is not optimal for rare or recessive alleles, which require asymmetric (or other) pooling strategies. Allele frequency measurement errors reduce the optimal pooling fraction as well as the overall efficiency of the pooling design. In contrast, random variation in the amount of DNA contributed by individuals to a pool reduces only the overall efficiency of the pooling design. Our results emphasize the importance of minimising experimental errors and suggest a pooling fraction of around 20%.en_HK
dc.publisherNature Publishing Group. The Journal's web site is located at http://www.nature.com/ejhgen_HK
dc.relation.ispartofEuropean Journal of Human Geneticsen_HK
dc.subjectDNA poolingen_HK
dc.subjectExperimental errorsen_HK
dc.subjectQTL association analysesen_HK
dc.subjectSample selectionen_HK
dc.subjectSNPsen_HK
dc.subject.meshAnalysis of Varianceen_HK
dc.subject.meshAnimalsen_HK
dc.subject.meshCase-Control Studiesen_HK
dc.subject.meshChromosome Mapping - statistics & numerical dataen_HK
dc.subject.meshGene Frequencyen_HK
dc.subject.meshHumansen_HK
dc.subject.meshModels, Geneticen_HK
dc.subject.meshQuantitative Trait, Heritableen_HK
dc.titleOptimal selection strategies for QTL mapping using pooled DNA samplesen_HK
dc.typeArticleen_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.emailSham, P: pcsham@hku.hken_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.identifier.authoritySham, P=rp00459en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/sj/ejhg/5200771en_HK
dc.identifier.pmid11938443en_HK
dc.identifier.scopuseid_2-s2.0-0036225328en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036225328&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume10en_HK
dc.identifier.issue2en_HK
dc.identifier.spage125en_HK
dc.identifier.epage132en_HK
dc.identifier.isiWOS:000174997000007-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridJawaid, A=12787441800en_HK
dc.identifier.scopusauthoridBader, JS=7201629332en_HK
dc.identifier.scopusauthoridPurcell, S=7005489464en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK
dc.identifier.scopusauthoridSham, P=34573429300en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats