Genome-wide association study identified CNP12587 region underlying height variation in Chinese females.
Genome-wide association study identified CNP12587 region underlying height variation in Chinese females.
复制标题
全基因组关联研究确定了中国女性身高变异的 CNP12587 区域
DOI:
10.1371/journal.pone.0044292
复制
发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Deng HW
中科院分区:
文献类型:
--
作者:
Zhang YP;Deng FY;Yang TL;Zhang F;Chen XD;Shen H;Zhu XZ;Tian Q;Deng HW
Introduction Human height is a highly heritable trait considered as an important factor for health. There has been limited success in identifying the genetic factors underlying height variation. We aim to identify sequence variants associated with adult height by a genome-wide association study of copy number variants (CNVs) in Chinese. Methods Genome-wide CNV association analyses were conducted in 1,625 unrelated Chinese adults and sex specific subgroup for height variation, respectively. Height was measured with a stadiometer. Affymetrix SNP6.0 genotyping platform was used to identify copy number polymorphisms (CNPs). We constructed a genomic map containing 1,009 CNPs in Chinese individuals and performed a genome-wide association study of CNPs with height. Results We detected 10 significant association signals for height (p<0.05) in the whole population, 9 and 11 association signals for Chinese female and male population, respectively. A copy number polymorphism (CNP12587, chr18:54081842-54086942, p = 2.41×10−4) was found to be significantly associated with height variation in Chinese females even after strict Bonferroni correction (p = 0.048). Confirmatory real time PCR experiments lent further support for CNV validation. Compared to female subjects with two copies of the CNP, carriers of three copies had an average of 8.1% decrease in height. An important candidate gene, ubiquitin-protein ligase NEDD4-like (NEDD4L), was detected at this region, which plays important roles in bone metabolism by binding to bone formation regulators. Conclusions Our findings suggest the important genetic variants underlying height variation in Chinese.
登录
查看更多内容
影响因子:
30.8
作者:
通讯作者:
--
影响因子:
3.7
作者:
Liu SL;Lei SF;Yang F;Li X;Liu R;Nie S;Liu XG;Yang TL;Guo Y;Deng FY;Tian Q;Li J;Liu YZ;Liu YJ;Shen H;Deng HW
通讯作者:
Deng HW
影响因子:
3.5
作者:
Lei, Shu-Feng;Tan, Li-Jun;Deng, Hong-Wen
通讯作者:
Deng, Hong-Wen
影响因子:
3.5
作者:
Li, MX;Liu, PY;Deng, HW
通讯作者:
Deng, HW
影响因子:
--
作者:
Garrone NF;Blazer-Yost BL;Weiss RB;Lalouel JM;Rohrwasser A
通讯作者:
Rohrwasser A