Borecki I B, Rice T, Pérusse L, Bouchard C, Rao D C
Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Obes Res. 1995 Jan;3(1):1-8. doi: 10.1002/j.1550-8528.1995.tb00115.x.
Regional fat distribution is related to higher risks of cardiovascular morbidity and mortality, independent of general obesity. In particular, a centralized pattern of fat deposition, characterized by greater abdominal stores relative to extremity stores, is associated with a higher propensity to metabolic complications. Motivated by these considerations, we have initiated a systematic investigation of several measures of regional fat distribution aimed at the identification of possible major gene effects. Two measures approximate the size of subcutaneous fat stores: the sum of six skinfold thicknesses (SF6 = abdominal + suprailiac + subscapular + calf + triceps + biceps), and the sum of three trunk skinfold thicknesses (TSF3 = abdominal + suprailiac + subscapular). Both of these phenotypes are highly correlated with total fat mass, 0.83 and 0.78 for SF6 and TSF3, respectively. The trunk to extremity ratio [TER = TSF3/ (calf + triceps + biceps)] is perhaps the most important of these phenotypes insofar as it is an index of centralized obesity; it is modestly correlated with fat mass (r = 0.18). Each of these phenotypes was adjusted for total fat mass by regression prior to analysis so that we could examine genetic effects on these measures of regional fat distribution without the confounding influence of the determinants of fat mass itself. Segregation analysis of SF6 and TSF3 controlled for total fat mass suggests the presence of a major effect underlying the observed phenotypic distribution; however, tests on the transmission probabilities did not substantiate the segregation of a Mendelian gene.(ABSTRACT TRUNCATED AT 250 WORDS)
区域脂肪分布与心血管疾病发病率和死亡率的较高风险相关,与总体肥胖无关。特别是,以腹部脂肪储存相对于四肢脂肪储存更多为特征的集中式脂肪沉积模式,与代谢并发症的较高易感性相关。出于这些考虑,我们启动了一项对区域脂肪分布的几种测量方法的系统研究,旨在识别可能的主要基因效应。两种测量方法近似皮下脂肪储存的大小:六个皮褶厚度之和(SF6 = 腹部 + 髂上 + 肩胛下 + 小腿 + 三头肌 + 二头肌),以及三个躯干皮褶厚度之和(TSF3 = 腹部 + 髂上 + 肩胛下)。这两种表型都与总脂肪量高度相关,SF6和TSF3分别为0.83和0.78。躯干与四肢比例[TER = TSF3 /(小腿 + 三头肌 + 二头肌)]可能是这些表型中最重要的,因为它是中心性肥胖的一个指标;它与脂肪量呈适度相关(r = 0.18)。在分析之前,通过回归对这些表型中的每一个进行了总脂肪量的校正,以便我们能够在没有脂肪量本身决定因素的混杂影响的情况下,检查对这些区域脂肪分布测量方法的遗传效应。对控制了总脂肪量的SF6和TSF3进行的分离分析表明,观察到的表型分布背后存在主要效应;然而,对传递概率的测试并未证实孟德尔基因的分离。(摘要截短于250字)