Moll P P, Michels V V, Weidman W H, Kottke B A
Department of Epidemiology, University of Michigan, Ann Arbor 48109.
Am J Hum Genet. 1989 Jan;44(1):124-39.
Apolipoprotein AI (apo AI) is the major protein of high-density lipoprotein (HDL). Using radioimmunoassay, we measured plasma apo AI levels in 1,880 individuals in 283 pedigrees randomly selected from the population with respect to disease status and risk factors for coronary artery disease. Apo AI levels were first adjusted for date of assay (6.8% of apo AI variation) and then adjusted for variability in age and body mass index (an additional 6.6%, 20.4%, and 23.0% of apo AI variations for males, females not using exogenous hormones, and females using exogenous hormones, respectively). A mixture of two normal distributions fit the adjusted data better than did a single normal distribution. Genetic and environmental models that could explain the mixture of normal distributions were investigated using complex segregation analysis. Heterogeneous etiologies for individual differences in adjusted apo AI levels were suggested by the data in the 283 pedigrees. In a subset of 126 pedigrees, there is evidence for the major effect of a nontransmitted environmental factor that explains the mixture of distributions as well as polygenic loci that influence apo AI levels within each distribution. The environmental factor and polygenic loci account for 32% and 65% of the adjusted variation, respectively. In the other 157 pedigrees there is strong support for a single locus with a major effect that accounts for 27% of the adjusted variation. The effect of the polygenic loci is not different from zero in these 157 pedigrees. This is the first study to present evidence for the segregation of a single unmeasured locus with a major effect on levels of apo AI in a population-based sample of pedigrees.
载脂蛋白AI(apo AI)是高密度脂蛋白(HDL)的主要蛋白质。我们使用放射免疫分析法,在283个家系的1880名个体中测量了血浆apo AI水平,这些家系是从人群中随机选取的,涉及疾病状态和冠状动脉疾病风险因素。apo AI水平首先根据检测日期进行校正(apo AI变异的6.8%),然后根据年龄和体重指数的变异性进行校正(男性、未使用外源激素的女性和使用外源激素的女性的apo AI变异分别额外增加6.6%、20.4%和23.0%)。两种正态分布的混合比单一正态分布更适合校正后的数据。使用复杂分离分析研究了能够解释正态分布混合的遗传和环境模型。283个家系的数据表明,校正后apo AI水平个体差异存在异质性病因。在126个家系的子集中,有证据表明存在一个未传递的环境因素的主要影响,该因素解释了分布的混合以及影响每个分布内apo AI水平的多基因位点。环境因素和多基因位点分别占校正变异的32%和65%。在其他157个家系中,有力支持了一个具有主要影响的单一位点,该位点占校正变异的27%。在这157个家系中,多基因位点的影响与零无异。这是第一项在基于人群的家系样本中,为一个对apo AI水平有主要影响的未测量单一位点的分离提供证据的研究。