Segregation Analysis of Blood Pressure and Body Mass Index in a Rural US Community

Document Type

Article

Authors

Swapan K. Nath, Arthritis and Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK.
Aravinda Chakravarti, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Chien-Hsiun Chen, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH.
Richard Cooper, Department of Preventive Medicine, Loyola University, Chicago, IL.
Alan Weder, Department of Medicine, University of Michigan Medical School, Ann Arbor, MI.
Nicholas J. Schork, Department of Medicine, University of Michigan Medical School, Ann Arbor, MI.

Abstract

To assess evidence for a gene with large effect on systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI), we conducted segregation analyses on 261 nuclear families collected from a rural Caucasian community in Michigan. The families were ascertained through a hypertensive proband. Each phenotype was adjusted for significant covariate effects (e.g., gender and age). We used class D regressive models to conduct the segregation analyses. Our analysis results support the segregation of a major gene for BMI, but not for SBP or DBP. A recessive locus effect provided the best explanation for BMI where ∼43% of the variance of BMI was due to this gene.

Recommended Citation

Nath, Swapan K.; Chakravarti, Aravinda; Chen, Chien-Hsiun; Cooper, Richard; Weder, Alan; and Schork, Nicholas J. (2002) "Segregation Analysis of Blood Pressure and Body Mass Index in a Rural US Community," Human Biology: Vol. 74: Iss. 1, Article 2.
Available at: https://digitalcommons.wayne.edu/humbiol/vol74/iss1/2