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Article: A powerful approach for association analysis incorporating imprinting effects

TitleA powerful approach for association analysis incorporating imprinting effects
Authors
Issue Date2011
PublisherOxford University Press. The Journal's web site is located at http://bioinformatics.oxfordjournals.org/
Citation
Bioinformatics, 2011, v. 27 n. 18, p. 2571-2577 How to Cite?
AbstractMOTIVATION: For a diallelic marker locus, the transmission disequilibrium test (TDT) is a simple and powerful design for genetic studies. The TDT was originally proposed for use in families with both parents available (complete nuclear families) and has further been extended to 1-TDT for use in families with only one of the parents available (incomplete nuclear families). Currently, the increasing interest of the influence of parental imprinting on heritability indicates the importance of incorporating imprinting effects into the mapping of association variants. RESULTS: In this article, we extend the TDT-type statistics to incorporate imprinting effects and develop a series of new test statistics in a general two-stage framework for association studies. Our test statistics enjoy the nature of family-based designs that need no assumption of Hardy-Weinberg equilibrium. Also, the proposed methods accommodate complete and incomplete nuclear families with one or more affected children. In the simulation study, we verify the validity of the proposed test statistics under various scenarios, and compare the powers of the proposed statistics with some existing test statistics. It is shown that our methods greatly improve the power for detecting association in the presence of imprinting effects. We further demonstrate the advantage of our methods by the application of the proposed test statistics to a rheumatoid arthritis dataset. CONTACT: wingfung@hku.hk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Persistent Identifierhttp://hdl.handle.net/10722/172484
ISSN
2021 Impact Factor: 6.931
2020 SCImago Journal Rankings: 3.599
PubMed Central ID
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXia, Fen_US
dc.contributor.authorZhou, JYen_US
dc.contributor.authorFung, WKen_US
dc.date.accessioned2012-10-30T06:22:45Z-
dc.date.available2012-10-30T06:22:45Z-
dc.date.issued2011en_US
dc.identifier.citationBioinformatics, 2011, v. 27 n. 18, p. 2571-2577en_US
dc.identifier.issn1367-4803en_US
dc.identifier.urihttp://hdl.handle.net/10722/172484-
dc.description.abstractMOTIVATION: For a diallelic marker locus, the transmission disequilibrium test (TDT) is a simple and powerful design for genetic studies. The TDT was originally proposed for use in families with both parents available (complete nuclear families) and has further been extended to 1-TDT for use in families with only one of the parents available (incomplete nuclear families). Currently, the increasing interest of the influence of parental imprinting on heritability indicates the importance of incorporating imprinting effects into the mapping of association variants. RESULTS: In this article, we extend the TDT-type statistics to incorporate imprinting effects and develop a series of new test statistics in a general two-stage framework for association studies. Our test statistics enjoy the nature of family-based designs that need no assumption of Hardy-Weinberg equilibrium. Also, the proposed methods accommodate complete and incomplete nuclear families with one or more affected children. In the simulation study, we verify the validity of the proposed test statistics under various scenarios, and compare the powers of the proposed statistics with some existing test statistics. It is shown that our methods greatly improve the power for detecting association in the presence of imprinting effects. We further demonstrate the advantage of our methods by the application of the proposed test statistics to a rheumatoid arthritis dataset. CONTACT: wingfung@hku.hk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.en_US
dc.languageengen_US
dc.publisherOxford University Press. The Journal's web site is located at http://bioinformatics.oxfordjournals.org/en_US
dc.relation.ispartofBioinformaticsen_US
dc.subject.meshArthritis, Rheumatoid - genetics-
dc.subject.meshChild-
dc.subject.meshGenetic Testing-
dc.subject.meshGenome-Wide Association Study-
dc.subject.meshGenomic Imprinting-
dc.titleA powerful approach for association analysis incorporating imprinting effectsen_US
dc.typeArticleen_US
dc.identifier.emailFung, WK: wingfung@hku.hken_US
dc.identifier.authorityFung, WK=rp00696en_US
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.doi10.1093/bioinformatics/btr443en_US
dc.identifier.pmid21798962-
dc.identifier.pmcidPMC3167056-
dc.identifier.scopuseid_2-s2.0-80052717600en_US
dc.identifier.hkuros203697-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052717600&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume27en_US
dc.identifier.issue18en_US
dc.identifier.spage2571en_US
dc.identifier.epage2577en_US
dc.identifier.eissn1460-2059-
dc.identifier.isiWOS:000294755400013-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridFung, WK=13310399400en_US
dc.identifier.scopusauthoridZhou, JY=50263704900en_US
dc.identifier.scopusauthoridXia, F=50263603800en_US
dc.identifier.citeulike9757917-

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