Demissie S, Dupuis J, Cupples L A, Beck T J, Kiel D P, Karasik D
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Bone. 2007 Mar;40(3):743-50. doi: 10.1016/j.bone.2006.09.020. Epub 2006 Oct 31.
Femoral geometry contributes to bone strength and predicts hip fracture risk. The purpose of this study was to evaluate heritability (h(2)) of geometric indices of the proximal hip and to perform whole-genome linkage analyses of these traits, adjusted for body size.
DXA scans of the proximal femur from 1473 members of 323 pedigrees (age range 31-96 years) from the population-based Framingham Osteoporosis Study were obtained. Using the hip structural analysis program, we measured femoral neck length (FNL, cm) and neck-shaft angle (NSA); subperiosteal width (WID, cm), cross-sectional area (CSA, cm(2)); and section modulus (Z, cm(3)) at the narrowest section of the neck (NN), intertrochanteric (IT) and femoral shaft (S) regions. Linkage analyses were performed for the above indices with a set of 636 markers using variance components maximum likelihood method.
Substantial genetic influences were found for all geometric phenotypes, with h(2) values between 0.28 (NSA) and 0.70 (IT_WID). Adjustment for height and BMI did not alter h(2) of NSA and FNL but decreased h(2) of the cross-sectional indices. We obtained substantial linkage (multipoint LOD >3.0) for S_Z at 2p21 and 21q11 and S_WID at Xq25-q26. Inclusion of height and BMI as covariates resulted in much lower LOD scores for S_Z, whereas linkage signals for S_Z at 4q25, S_CSA at 4q32 and S_CSA and S_Z at 15q21 increased after the adjustment. Linkage of FNL at 1q and 13q, NSA at 2q and NN_WID at 16q did not change after the adjustment.
Suggestive linkages of bone geometric indices were found at 1q, 2p, 4q, 13q, 15q and Xq. The identification of significant linkage regions after adjustment for BMI and height may point to QTLs influencing femoral bone geometry independent of body size.
股骨几何形态对骨强度有影响,并可预测髋部骨折风险。本研究旨在评估近端髋部几何指数的遗传力(h(2)),并对这些性状进行全基因组连锁分析,同时对体型进行校正。
从基于人群的弗雷明汉骨质疏松症研究的323个家系的1473名成员(年龄范围31 - 96岁)中获取近端股骨的双能X线吸收法(DXA)扫描图像。使用髋部结构分析程序,我们测量了股骨颈长度(FNL,厘米)和颈干角(NSA);骨膜下宽度(WID,厘米)、横截面积(CSA,平方厘米);以及在颈部最窄处(NN)、转子间(IT)和股骨干(S)区域的截面模量(Z,立方厘米)。使用方差成分最大似然法对上述指数与一组636个标记进行连锁分析。
发现所有几何表型均受显著遗传影响,h(2)值在0.28(NSA)至0.70(IT_WID)之间。对身高和体重指数(BMI)进行校正并未改变NSA和FNL的h(2),但降低了横截面指数的h(2)。我们在2p21和21q11处发现S_Z以及在Xq25 - q26处发现S_WID有显著连锁(多点对数优势比分(LOD)>3.0)。将身高和BMI作为协变量纳入后,S_Z的LOD分数大幅降低,而在调整后,4q25处S_Z、4q32处S_CSA以及15q21处S_CSA和S_Z的连锁信号增强。调整后,1q处FNL、2q处NSA和16q处NN_WID的连锁情况未改变。
在1q、2p、4q、13q、15q和Xq处发现了骨几何指数的提示性连锁。在对BMI和身高进行校正后确定的显著连锁区域可能指向独立于体型影响股骨骨几何形态的数量性状基因座(QTL)。