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Estimating genetic and non-genetic components of variance for fasting glucose levels in pedigrees ascertained through non-insulin dependent diabetes

dc.contributor.authorBeaty, T. H.en_US
dc.contributor.authorFajans, Stefan S.en_US
dc.date.accessioned2010-04-01T15:40:41Z
dc.date.available2010-04-01T15:40:41Z
dc.date.issued1982-10en_US
dc.identifier.citationBEATY, T. H.; FAJANS, S. S. (1982). "Estimating genetic and non-genetic components of variance for fasting glucose levels in pedigrees ascertained through non-insulin dependent diabetes." Annals of Human Genetics 46(4): 355-362. <http://hdl.handle.net/2027.42/66167>en_US
dc.identifier.issn0003-4800en_US
dc.identifier.issn1469-1809en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/66167
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7159055&dopt=citationen_US
dc.description.abstractFasting glucose levels measured on 337 individuals in 14 pedigrees ascertained through a proband with non-inuslin dependent diabetes were used to estimate genetic and non-genetic components of variance under a multifactorial model of inheritance. In this sample genetic factors were important in controlling variation in basal carbohydrate metabolism, as represented by age-adjusted log-fasting glucose. There was no evidence that arbitrary sib common environments or arbitrary parent common environments accounted for significant portions of the variability in fasting glucose in these data. An arbitrary environment shared by parent and offspring, however, had a marginally significant impact on the likelihood. Parameter estimates obtained from multifactorial models analysed in this manner are sensitive to extreme phenotypic values, however, and caution must be exerciese in estimating total genetic variation. While additive genetic factors did account for a significant proportion of the total variation in fasting glucose, a large proportion remained unexplained.en_US
dc.format.extent562872 bytes
dc.format.extent3110 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rights1982 University College London and Blackwell Publishing Ltden_US
dc.titleEstimating genetic and non-genetic components of variance for fasting glucose levels in pedigrees ascertained through non-insulin dependent diabetesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Internal Medicine, Division of Endocrinology and Metabolism, The University of Michigan, Ann Arbor, MI 48109en_US
dc.contributor.affiliationotherDepartment of Epidemiology, Johns Hopkins University, School of Hygiene and Public Health, Baltimore, MD 21205en_US
dc.identifier.pmid7159055en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/66167/1/j.1469-1809.1982.tb01586.x.pdf
dc.identifier.doi10.1111/j.1469-1809.1982.tb01586.xen_US
dc.identifier.sourceAnnals of Human Geneticsen_US
dc.identifier.citedreferenceBeaty, T. H., Neel, J. V. & Fajans, S. S. ( 1982 ). Identifying risk factors for diabetes in first degree relatives of non-insulin dependent diabetic patients. Am. J. Epidemiol. 115, 380 – 397.en_US
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dc.identifier.citedreferenceMoll, PP., Powsner, R. & Sing, C. F. ( 1979 ). Analysis of genetic and environmental sources of variation in serum cholesterol in Tecumseh, Michigan. V. Variance components estimated from pedigrees. Ann. Hum. Genet. 42, 343 – 354.en_US
dc.identifier.citedreferencePalumbo, P. J., Elveback, L. R., Chu, C. P., Conally, D. C. & Kurland, L. T. ( 1976 ). Diabetes mellits: incidence prevalence, survivorship, and causes of death in Rochester Minnesota 1945–1970. Diabets 25, 566 – 573.en_US
dc.identifier.citedreferenceWest, K. M. ( 1978 ). Epidemiology of diabetes and its vascular lesions, pp. 127 – 158. New York : Elsevier.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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