Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis

被引：10

作者：

Liang, Xiao ^{[1
]}

Wu, CuiYan ^{[1
]}

Zhao, Hongmou ^{[3
]}

Liu, Li ^{[1
]}

Du, Yanan ^{[1
]}

Li, Ping ^{[1
]}

Wen, Yan ^{[1
]}

Zhao, Yan ^{[1
]}

Ding, Miao ^{[1
]}

Cheng, Bolun ^{[1
]}

Cheng, Shiqiang ^{[1
]}

Ma, Mei ^{[1
]}

Zhang, Lu ^{[1
]}

Guo, Xiong ^{[1
]}

Shen, Hui ^{[2
]}

Tian, Qing ^{[2
]}

Zhang, Feng ^{[1
]}

Deng, Hong-Wen ^{[2
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Publ Hlth, Natl Hlth & Family Planning Commiss, Key Lab Trace Elements & Endem Dis,Hlth Sci Ctr, Xian, Shaanxi, Peoples R China

[2] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Global Biostat & Data Sci, Ctr Bioinformat & Genom, New Orleans, LA USA

[3] Red Cross Hosp, Dept Orthoped Surg, Xian 710054, Shaanxi, Peoples R China

来源：

BONE | 2018年 / 116卷

基金：

美国国家卫生研究院;

关键词：

Osteoporosis; Early growth parameters; Polygenic risk score; GENOME-WIDE ASSOCIATION; BODY-MASS INDEX; HEALTHY ADOLESCENT GIRLS; BIRTH-WEIGHT; PHYSICAL-ACTIVITY; CHILDHOOD; CHILDREN; WOMEN; PUBERTY; OBESITY;

D O I：

10.1016/j.bone.2018.08.021

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Objective: The relationships between early growth parameters and bone mineral density (BMD) remain elusive now. In this study, we performed a large scale polygenic risk score (PRS) analysis to evaluate the potential impact of early growth parameters on the variations of BMD. Methods: We used 2286 Caucasian subjects as cohort 1 and 3404 Framingham Heart Study (FHS) subjects as cohort 2 in this study. BMD at ulna & radius, hip and spine were measured using dual energy X-ray absorptiometry. BMD values were adjusted for age, sex, height and weight as covariates. Genome-wide single -nucleotide polymorphism (SNP) genotyping of the 2286 Caucasian subjects was performed using Affymetrix Human SNP Array 6.0. The GWAS datasets of early growth parameters were driven from the Early Growth Genetics Consortium, including birth weight (BW), birth head circumference (BHC), childhood body mass index (CBMI), pubertal height growth related indexes and tanner stage. Polygenic Risk Score (PRSice) and linkage disequilibrium (LD) score regression analysis were conducted to assess the genetic correlation between early growth parameters and BMD. Results: We detected significant genetic correlations in cohort 1, such as total spine BMD vs. CBMI (p value = 1.51 x 10(-4), rg = 0.4525), right ulna and radius BMD vs. CBMI (p value = 1.51 x 10(-4), rg = 0.4399) and total body BMD vs. tanner stage (p value = 7.00 x 10(-4), rg = - 0.0721). For cohort 2, significant correlations were observed for total spine BMD vs. height change standard deviation score (SDS) between 8 years and adult (denoted as PGF + PGM) (p value = 3.97 x 10(-4), rg = -0.1425), femoral neck BMD vs. the timing of peak height velocity by looking at the height change SDS between age 14 years and adult (denoted as PTF + PTM) (p value = 7.04 x 10(-4), rg = - 0.2185), and total spine BMD vs. PTF + PTM (p value = 6.86 x 10(-4), rg = - 0.2180). Conclusion: Our study results suggest that some early growth parameters could affect the variations of BMD.

引用

页码：301 / 306

页数：6