I M Heiba1, R C Elston, B E Klein, R Klein. 1. Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393.
Abstract
PURPOSE: To examine the possible presence of a major gene determining susceptibility to cortical cataract. METHODS: The percentage of the lens area involved with cortical opacity, summed over both eyes, was evaluated in 1275 individuals from the Beaver Dam Eye Study. After adjusting for the effects of age and sex, these measures of cortical cataract were subjected to sibling correlational analysis, commingling analysis, and segregation analysis. The Box and Cox power transformation was applied to the data for the commingling and segregation analyses. Using regressive models, four modes of transmission were examined, and under each mode three hypotheses and a general model were fitted by maximum likelihood and compared. RESULTS: Sister-sister and brother-brother correlations of the adjusted measures of cortical cataract are significant and similar; the brother-sister correlation is not significantly different either from these correlations or from zero. Two commingled distributions give the best fit to the data, especially after power transformation. Under each of four modes of transmission, the hypothesis that best fits the data is one in which there are only two distributions (and, hence, dominance under mendelian transmission), the power transformation parameter is fixed at the estimate obtained from commingling analysis, and there is residual sibling correlation. The data thus suggest the existence of a major effect for cortical cataract. Random environmental influences can be rejected as a cause of this major effect. Our analysis indicates the existence of a significant effect of sex on the residual variance. Allowing for this, the data suggest transmission of a single major gene, though this may not be the sole cause of the commingled distributions. CONCLUSIONS: Assuming a common variance for the two sexes, a single major gene can account for 58% of the variability of age- and sex-adjusted measures of cortical cataract. With the variance sex dependent, a major gene can account for 75% and 45% of the total variability among males and females, respectively.
PURPOSE: To examine the possible presence of a major gene determining susceptibility to cortical cataract. METHODS: The percentage of the lens area involved with cortical opacity, summed over both eyes, was evaluated in 1275 individuals from the Beaver Dam Eye Study. After adjusting for the effects of age and sex, these measures of cortical cataract were subjected to sibling correlational analysis, commingling analysis, and segregation analysis. The Box and Cox power transformation was applied to the data for the commingling and segregation analyses. Using regressive models, four modes of transmission were examined, and under each mode three hypotheses and a general model were fitted by maximum likelihood and compared. RESULTS: Sister-sister and brother-brother correlations of the adjusted measures of cortical cataract are significant and similar; the brother-sister correlation is not significantly different either from these correlations or from zero. Two commingled distributions give the best fit to the data, especially after power transformation. Under each of four modes of transmission, the hypothesis that best fits the data is one in which there are only two distributions (and, hence, dominance under mendelian transmission), the power transformation parameter is fixed at the estimate obtained from commingling analysis, and there is residual sibling correlation. The data thus suggest the existence of a major effect for cortical cataract. Random environmental influences can be rejected as a cause of this major effect. Our analysis indicates the existence of a significant effect of sex on the residual variance. Allowing for this, the data suggest transmission of a single major gene, though this may not be the sole cause of the commingled distributions. CONCLUSIONS: Assuming a common variance for the two sexes, a single major gene can account for 58% of the variability of age- and sex-adjusted measures of cortical cataract. With the variance sex dependent, a major gene can account for 75% and 45% of the total variability among males and females, respectively.
Authors: Sudha K Iyengar; Barbara E K Klein; Ronald Klein; Gyungah Jun; James H Schick; Christopher Millard; Rachel Liptak; Karlie Russo; Kristine E Lee; Robert C Elston Journal: Proc Natl Acad Sci U S A Date: 2004-09-27 Impact factor: 11.205
Authors: Jonathan A Wignes; Joshua W Goldman; Conrad C Weihl; Matthew G Bartley; Usha P Andley Journal: Exp Eye Res Date: 2013-07-18 Impact factor: 3.467
Authors: Gyungah Jun; Hong Guo; Barbara E K Klein; Ronald Klein; Jie Jin Wang; Paul Mitchell; Hui Miao; Kristine E Lee; Tripti Joshi; Matthias Buck; Preeti Chugha; David Bardenstein; Alison P Klein; Joan E Bailey-Wilson; Xiaohua Gong; Tim D Spector; Toby Andrew; Christopher J Hammond; Robert C Elston; Sudha K Iyengar; Bingcheng Wang Journal: PLoS Genet Date: 2009-07-31 Impact factor: 5.917