To quantify the genetic correlations between total body fat mass （TBFM） and femoral neck geometric parameters （FNGPs） and, if pos- sible, to detect the specific genomic regions shared by them, bivariate genetic an...To quantify the genetic correlations between total body fat mass （TBFM） and femoral neck geometric parameters （FNGPs） and, if pos- sible, to detect the specific genomic regions shared by them, bivariate genetic analysis and bivariate whole-genome linkage scan were carried out in a large Caucasian population. All the phenotypes studied were significantly controlled by genetic factors （P 〈 0.001） with the heritabilities ranging from 0.45 to 0.68. Significantly genetic correlations were found between TBFM and CSA （cross-section area）, W （sub-periosteal diameter）, Z （section modulus） and CT （cortical thickness） except between TBFM and BR （buckling ratio）. The peak bivariate LOD scores were 3.23 （20q12）, 2.47 （20p11）, 3.19 （6q27）, 1.68 （20p12）, and 2.47 （7q11） for the five pairs of TBFM and BR, CSA, CT, W, and Z in the entire sample, respectively. Gender-specific bivariate linkage evidences were also found for the five pairs. 6p25 had complete pleiotropic effects on the variations of TBFM ＆ Z in the female sub-population, and 6q27 and 17q11 had coincident link- ages for TBFM ＆ CSA and TBFM ＆ Z in the entire population. We identified moderate genetic correlations and several shared genomic regions between TBFM and FNGPs in a large Caucasian population.展开更多
目的利用生物电阻抗方法测量儿童的体成分,建立适合我国儿童体成分的预测方程。方法在北京市采用目的抽样法选取409名7～10岁的儿童(男生220名,女生189名),测量身高和体重,采用生物电阻抗仪测量全身电阻抗和电容抗,采用单标水法测量的...目的利用生物电阻抗方法测量儿童的体成分,建立适合我国儿童体成分的预测方程。方法在北京市采用目的抽样法选取409名7～10岁的儿童(男生220名,女生189名),测量身高和体重,采用生物电阻抗仪测量全身电阻抗和电容抗,采用单标水法测量的总体水(total body water,TBW)和去脂体重(fat-free mass,FFM)作为标准,用多元线性逐步回归法建立回归方程,并采用纯误差和Bland-Altman分析法来判断预测方程的准确度。结果 TBW的预测方程=-6.893+0.410×性别(男=1,女=0)+0.273×年龄(岁)+0.174×体重(kg)+0.081×身高(cm)+0.206×阻抗指数(cm2/Ω)(R2=0.90,均方根误差=1.2kg);FFM的预测方程=-9.742+0.784×性别(男=1,女=0)+0.429×年龄(岁)+0.227×体重(kg)+0.104×身高(cm)+0.269×阻抗指数(cm2/Ω)(R2=0.90,均方根误差=1.6kg)。TBW和FFM的预测值与测量值间差异均无统计学意义,纯误差分别是1.4、1.8kg。TBW和FFM的测量值与预测值的差值与均值之间存在显著正相关性(相关系数分别为0.24、0.23,P<0.01)。不同BMI分组的测量值与预测值间差异均无统计学意义。结论推导的预测方程有较高的精确度和准确度,能有效准确地预测我国7～10岁儿童的体成分。展开更多
基金supported by grants from NIH in USA (No. K01 AR02170-01, R01 AR45349-01, R01 GM60402-01 A1, R01 AG026564-01A2, and R21 AG027110-01A1)the Natural Science Foundation o China (NSFC) (No. 30600364)The genotyping experiment was performed by Marshfield Center for Medical Genetics and supported by NHLB Mammalian Genotyping Service (Contract No. HV48141)
文摘To quantify the genetic correlations between total body fat mass （TBFM） and femoral neck geometric parameters （FNGPs） and, if pos- sible, to detect the specific genomic regions shared by them, bivariate genetic analysis and bivariate whole-genome linkage scan were carried out in a large Caucasian population. All the phenotypes studied were significantly controlled by genetic factors （P 〈 0.001） with the heritabilities ranging from 0.45 to 0.68. Significantly genetic correlations were found between TBFM and CSA （cross-section area）, W （sub-periosteal diameter）, Z （section modulus） and CT （cortical thickness） except between TBFM and BR （buckling ratio）. The peak bivariate LOD scores were 3.23 （20q12）, 2.47 （20p11）, 3.19 （6q27）, 1.68 （20p12）, and 2.47 （7q11） for the five pairs of TBFM and BR, CSA, CT, W, and Z in the entire sample, respectively. Gender-specific bivariate linkage evidences were also found for the five pairs. 6p25 had complete pleiotropic effects on the variations of TBFM ＆ Z in the female sub-population, and 6q27 and 17q11 had coincident link- ages for TBFM ＆ CSA and TBFM ＆ Z in the entire population. We identified moderate genetic correlations and several shared genomic regions between TBFM and FNGPs in a large Caucasian population.
文摘目的利用生物电阻抗方法测量儿童的体成分,建立适合我国儿童体成分的预测方程。方法在北京市采用目的抽样法选取409名7～10岁的儿童(男生220名,女生189名),测量身高和体重,采用生物电阻抗仪测量全身电阻抗和电容抗,采用单标水法测量的总体水(total body water,TBW)和去脂体重(fat-free mass,FFM)作为标准,用多元线性逐步回归法建立回归方程,并采用纯误差和Bland-Altman分析法来判断预测方程的准确度。结果 TBW的预测方程=-6.893+0.410×性别(男=1,女=0)+0.273×年龄(岁)+0.174×体重(kg)+0.081×身高(cm)+0.206×阻抗指数(cm2/Ω)(R2=0.90,均方根误差=1.2kg);FFM的预测方程=-9.742+0.784×性别(男=1,女=0)+0.429×年龄(岁)+0.227×体重(kg)+0.104×身高(cm)+0.269×阻抗指数(cm2/Ω)(R2=0.90,均方根误差=1.6kg)。TBW和FFM的预测值与测量值间差异均无统计学意义,纯误差分别是1.4、1.8kg。TBW和FFM的测量值与预测值的差值与均值之间存在显著正相关性(相关系数分别为0.24、0.23,P<0.01)。不同BMI分组的测量值与预测值间差异均无统计学意义。结论推导的预测方程有较高的精确度和准确度,能有效准确地预测我国7～10岁儿童的体成分。
