A Genome-Wide Scan for Loci Affecting Normal Adult Height in the Framingham Heart StudyMukhopadhyay N.a · Finegold D.N.a · Larson M.G.b · Cupples L.A.c · Myers R.H.d · Weeks D.E.a,e
aDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pa.; bFramingham Heart Study, Framingham, Mass; cDepartment of Biostatistics, School of Public Health, Boston University, Boston, Mass; dDepartment of Neurology, Boston University School of Medicine, Boston, Mass; eDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pa., USA
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Article / Publication Details
Objective: To map loci influencing normal adult height in 335 families from the Framingham Heart Study. Methods: We analyzed data consisting of 1,702 genotyped individuals who have been followed over time. The first height measurement for individuals between the ages 20–55 years was analyzed in a genome-wide scan using variance component linkage analysis. Sex, age, and cohort effects were removed before analysis. Results: Two regions (18pter-p11, 22q11.2) with multipoint LOD scores >1.0 (–log p values >2.0) were detected: we obtained LOD scores of 1.38 at D18S1364, and of 1.10 at D22S345. Analysis of height as a sex-limited phenotype revealed a peak in the 9p21 region near D9S319 with a maximum LOD score of 1.65 (–log p value >3.0) when only male height phenotypes were used. When only female phenotypes were used, a peak with a maximum LOD score of 1.85 (–log p value of 2.70) was observed in the 11q25-qter region near D11S2359. Conclusions: Our region of interest on chromosome 9 has been implicated by two prior studies. Variance components analysis appeared to be sensitive to pedigree structures as well as the method of IBD computation used.
© 2003 S. Karger AG, Basel
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