Genetic analysis of the Stanford LRC family study data. I. Structured exploratory data analysis of height and weight measurements

American Journal of Epidemiology
S KarlinJ W Farquhar

Abstract

A new methodology for determining mode for inheritance of continuously distributed traits in nuclear families, structured exploratory data analysis (SEDA), is described and applied to height and weight measurements. The family data were collected as part of the Lipid Research Clinic's collaborative study (LRC) and consists of first degree relatives of Stanford University employees who were selected either as a 2% random sample or were identified through a high lipid value. The variables are all standardized using three methods of age and sex adjustment based on two reference populations. The analysis and interpretations are based on the following statistics and indices: 1) the major gene index (MGI (alpha); 2) two measures of correlations between the midparental value and offspring (MPCC); and 3) the offspring between parent functions (OBP (beta). Consistent with a number of other studies, the results support that height shows multifactorial inheritance while height is principally under the influence of non-genetic environmental factors. In contrast to the random families, the male children of the probands who were selected due to their high lipid values exhibit height measurements which appear to involve environmental componen...Continue Reading

Citations

Oct 1, 1983·American Journal of Medical Genetics·S J HasstedtR R Williams
Jul 8, 1999·Journal of Internal Medicine·S M Echwald
May 1, 1988·Human Genetics·Y FriedlanderY Stein
Jan 1, 1991·American Journal of Human Biology : the Official Journal of the Human Biology Council·M A ProvinceD C Rao

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