Huang Q-Y, Xu F-H, Shen H, Zhao L-J, Deng H-Y, Liu Y-J, Dvomyk V, Conway T, Davies K M, Li J-L, Liu Y-Z, Recker R R, Deng H-W
Osteoporosis Research Center, Creighton University, Omaha, Nebraska 68131, USA.
Calcif Tissue Int. 2004 Aug;75(2):138-43. doi: 10.1007/s00223-004-0088-y. Epub 2004 Apr 8.
Low bone mineral density (BMD) is a major risk factor for osteoporotic fracture. To identify genomic regions harboring quantitative trait loci (QTLs) contributing to BMD variation, we performed a two-stage genome screen. The first stage involved genotyping of a sample of 53 pedigrees with 630 individuals using 400 microsatellite markers spaced at approximately 10-cM intervals throughout the genome. Ten genomic regions with multi- and/or two-point LOD scores greater than 1.5 were observed. In the present second-stage study, 60 microsatellite markers, with a mean spacing of about 5 cM, were genotyped in these regions in an expanded sample of 79 pedigrees that contained 1816 subjects. Each pedigree was ascertained through a proband with extreme BMD at the hip or spine. BMD at the spine (L1-4), hip (the femoral neck, trochanter, and intertrochanteric region), and wrist (the ultradistal region) was measured by dual-energy X-ray absorptiometry (DXA) and was adjusted for age, sex, height, and weight. Two-point and multipoint linkage analyses were performed for each BMD site using statistical genetic methods that are implemented in the computer package SOLAR. Several regions (7q11, 10q26, 12q13, and 12q24) achieved LOD scores in excess of 1 in the second-stage followup study. The current results replicate some of our previous linkage findings and also highlight some of the difficulties facing microsatellite linkage mapping for complex human diseases.
低骨矿物质密度(BMD)是骨质疏松性骨折的主要危险因素。为了确定含有影响BMD变异的数量性状位点(QTL)的基因组区域,我们进行了两阶段的全基因组筛查。第一阶段涉及对53个家系的630名个体样本进行基因分型,使用全基因组中约每隔10厘摩(cM)间隔分布的400个微卫星标记。观察到10个基因组区域的多点和/或两点对数优势(LOD)得分大于1.5。在当前的第二阶段研究中,在包含1816名受试者的79个家系的扩大样本中,对这些区域的60个微卫星标记进行基因分型,这些标记的平均间距约为5 cM。每个家系通过一名在髋部或脊柱具有极端BMD的先证者来确定。通过双能X线吸收法(DXA)测量脊柱(L1 - 4)、髋部(股骨颈、大转子和转子间区域)和腕部(远侧端区域)的BMD,并针对年龄、性别、身高和体重进行调整。使用计算机软件包SOLAR中实施的统计遗传方法,对每个BMD位点进行两点和多点连锁分析。在第二阶段的随访研究中,几个区域(7q11、10q26、12q13和12q24)的LOD得分超过1。当前结果重复了我们之前的一些连锁研究结果,也突出了微卫星连锁图谱绘制在复杂人类疾病研究中面临的一些困难。