Pantsulaia I, Trofimov Svetlana, Kobyliansky Eugene, Livshits Gregory
J Bone Miner Metab. 2002;20(3):156-63. doi: 10.1007/s007740200022.
Circulating levels of insulin-like growth factor binding protein-3 (IGFBP-3) vary greatly between normal individuals, but until now little attention has been given to the study of the genetic factors involved in IGFBP-3 variability in healthy populations. The present study investigated the extent and pattern of the possible genetic influences on plasma levels of IGFBP-3 in 91 nuclear and more complex families, totaling 396 individuals (201 males and 195 females) of Caucasian ethnic origin. The variance decomposition analysis, was performed using the FISHER statistical package. In the second stage of the analysis, we used complex segregation analysis as implemented in the statistical package MAN. Significant negative correlation was revealed between age and plasma levels of IGFBP-3 in both sexes ( r=-0.49; r=-0.23; P<0.001). Multivariate analysis identified age, body weight, and height as significant covariates in men, but for women only age had a considerable effect. It has been demonstrated that about 57.7% of IGBP-3 variation adjusted for significant confounding factors was attributable to genetic factors. The results of bivariate variance decomposition analysis showed no significant genetic and phenotypic correlation between the mineral density of hand bones and IGFBP-3. Segregation analysis revealed the existence of a potential major gene effect that was able to explain some 27.5% of IGFBP-3 variation. Multifactorial effects, likely, unknown minor genes, contributed an additional 30% to IGFBP-3 variation. The segregation analysis also provided evidence of significant genotype X sex interaction in the determination of plasma levels of IGFBP-3.
胰岛素样生长因子结合蛋白-3(IGFBP-3)的循环水平在正常个体之间差异很大,但迄今为止,健康人群中参与IGFBP-3变异性的遗传因素研究很少受到关注。本研究调查了91个核心家庭和更复杂家庭中,可能的遗传因素对IGFBP-3血浆水平的影响程度和模式,这些家庭共有396名白种人个体(201名男性和195名女性)。使用FISHER统计软件包进行方差分解分析。在分析的第二阶段,我们使用了统计软件包MAN中实现的复杂分离分析。结果显示,两性的年龄与IGFBP-3血浆水平之间均存在显著负相关(r=-0.49;r=-0.23;P<0.001)。多变量分析确定年龄、体重和身高是男性的显著协变量,但对女性而言,只有年龄有相当大的影响。结果表明,在调整了显著混杂因素后,约57.7%的IGBP-3变异可归因于遗传因素。双变量方差分解分析结果显示,手部骨骼矿物质密度与IGFBP-3之间不存在显著的遗传和表型相关性。分离分析显示存在一个潜在的主基因效应,能够解释约27.5%的IGFBP-3变异。多因素效应,可能是未知的小基因,对IGFBP-3变异的贡献额外增加了30%。分离分析还提供了证据,表明在决定IGFBP-3血浆水平时存在显著的基因型×性别相互作用。