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Comprehensive linkage and linkage heterogeneity analysis of 4344 sibling pairs affected with hypertension from the Family Blood Pressure Program

dc.contributor.authorGreenwood, Tiffany A.en_US
dc.contributor.authorLibiger, Ondrejen_US
dc.contributor.authorKardia, Sharon L. R.en_US
dc.contributor.authorHanis, Craigen_US
dc.contributor.authorMorrison, Alanna C.en_US
dc.contributor.authorGu, C. Charlesen_US
dc.contributor.authorRice, Trevaen_US
dc.contributor.authorMiller, Michaelen_US
dc.contributor.authorTurner, Stephen T.en_US
dc.contributor.authorMyers, Richard H.en_US
dc.contributor.authorGrove, Johnen_US
dc.contributor.authorHsiao, Chin-Fuen_US
dc.contributor.authorWeder, Alan B.en_US
dc.contributor.authorSchork, Nicholas J.en_US
dc.date.accessioned2007-09-20T18:29:30Z
dc.date.available2008-09-08T14:25:13Zen_US
dc.date.issued2007-04en_US
dc.identifier.citationGreenwood, Tiffany A.; Libiger, Ondrej; Kardia, Sharon; Hanis, Craig; Morrison, Alanna C.; Gu, C. Charles; Rice, Treva; Miller, Michael; Turner, Stephen T.; Myers, Richard H.; Grove, John; Hsiao, Chin-Fu; Weder, Alan B.; Schork, Nicholas J. (2007)."Comprehensive linkage and linkage heterogeneity analysis of 4344 sibling pairs affected with hypertension from the Family Blood Pressure Program." Genetic Epidemiology 31(3): 195-210. <http://hdl.handle.net/2027.42/56011>en_US
dc.identifier.issn0741-0395en_US
dc.identifier.issn1098-2272en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/56011
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17266112&dopt=citationen_US
dc.description.abstractLinkage analyses of complex, multifactorial traits and diseases, such as essential hypertension, have been difficult to interpret and reconcile. Many published studies provide evidence suggesting that different genes and genomic regions influence hypertension, but knowing which of these studies reflect true positive results is challenging. The reasons for this include the diversity of analytical methods used across these studies, the different samples and sample sizes in each study, and the complicated biological underpinnings of hypertension. We have undertaken a comprehensive linkage analysis of 371 autosomal microsatellite markers genotyped on 4,334 sibling pairs affected with hypertension from five ethnic groups sampled from 13 different field centers associated with the Family Blood Pressure Program (FBPP). We used a single analytical technique known to be robust to interpretive problems associated with a lack of completely informative markers to assess evidence for linkage to hypertension both within and across the ethnic groups and field centers. We find evidence for linkage to a number of genomic regions, with the most compelling evidence from analyses that combine data across field center and ethnic groups (e.g., chromosomes 2 and 9). We also pursued linkage analyses that accommodate locus heterogeneity, which is known to plague the identification of disease susceptibility loci in linkage studies of complex diseases. We find evidence for linkage heterogeneity on chromosomes 2 and 17. Ultimately our results suggest that evidence for linkage heterogeneity can only be detected with large sample sizes, such as the FBPP, which is consistent with theoretical sample size calculations. Genet. Epidemiol . 2007. © 2007 Wiley-Liss, Inc.en_US
dc.format.extent263251 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherGeneticsen_US
dc.titleComprehensive linkage and linkage heterogeneity analysis of 4344 sibling pairs affected with hypertension from the Family Blood Pressure Programen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Medicine, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherPolymorphism Research Laboratory, Department of Psychiatry, University of California, San Diego, La Jolla, Californiaen_US
dc.contributor.affiliationotherPolymorphism Research Laboratory, Department of Psychiatry, University of California, San Diego, La Jolla, Californiaen_US
dc.contributor.affiliationotherDepartment of Genetics, University of Texas and Houston Health Science Center, Houston, Texasen_US
dc.contributor.affiliationotherDepartment of Genetics, University of Texas and Houston Health Science Center, Houston, Texasen_US
dc.contributor.affiliationotherDivision of Biostatistics, Washington University, St. Louis, Missourien_US
dc.contributor.affiliationotherDivision of Biostatistics, Washington University, St. Louis, Missourien_US
dc.contributor.affiliationotherDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesotaen_US
dc.contributor.affiliationotherMayo Clinic College of Medicine, Rochester, Minnesotaen_US
dc.contributor.affiliationotherDepartment of Neurology, Boston University School of Medicine, Boston, Massachusettsen_US
dc.contributor.affiliationotherDepartment of Public Health Sciences and Epidemiology, John A. Burns School of Medicine, University of Hawaii and Pacific Health Research Institute, Honolulu, Hawaien_US
dc.contributor.affiliationotherDivision of Biostatistics and Bioinformatics, National Health Research Institutes, Taipei, Taiwanen_US
dc.contributor.affiliationotherPolymorphism Research Laboratory, Department of Psychiatry, University of California, San Diego, La Jolla, California ; University of California, San Diego, Department of Psychiatry, 0603, 9500 Gilman Drive, La Jolla, CA 92093-0603en_US
dc.identifier.pmid17266112en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/56011/1/20202_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/gepi.20202en_US
dc.identifier.sourceGenetic Epidemiologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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