TY - JOUR
T1 - A genome wide association study between copy number variation (CNV) and human height in Chinese population
AU - Li, Xi
AU - Tan, Lijun
AU - Liu, Xiaogang
AU - Lei, Shufeng
AU - Yang, Tielin
AU - Chen, Xiangding
AU - Zhang, Fang
AU - Fang, Yue
AU - Guo, Yan
AU - Zhang, Liang
AU - Yan, Han
AU - Pan, Feng
AU - Zhang, Zhixin
AU - Peng, Yumei
AU - Zhou, Qi
AU - He, Lina
AU - Zhu, Xuezhen
AU - Cheng, Jing
AU - Zhang, Lishu
AU - Liu, Yaozhong
AU - Tian, Qing
AU - Deng Hongwen, H.
PY - 2010/12
Y1 - 2010/12
N2 - Copy number variation (CNV) is a type of genetic variation which may have important roles in phenotypic variability and disease susceptibility. To hunt for genetic variants underlying human height variation, we performed a genome wide CNV association study for human height in 618 Chinese unrelated subjects using Affymetrix 500K array set. After adjusting for age and sex, we found that four CNVs at 6p21.3, 8p23.3-23.2, 9p23 and 16p12.1 were associated with human height (with borderline significant p value: 0.013, 0.011, 0.024, 0.049; respectively). However, after multiple tests correction, none of them was associated with human height. We observed that the gain of copy number (more than 2 copies) at 8p23.3-23.2 was associated with lower height (normal copy number vs. gain of copy number: 161.2 cm vs. 153.7 cm, p = 0.011), which accounted for 0.9% of height variation. Loss of copy number (less than 2 copies) at 6p21.3 was associated with 0.8% lower height (loss of copy number vs. normal copy number: 154.5 cm vs. 161.1 cm, p = 0.013). Since no important genes influencing height located in CNVs at loci of 8p23.3-23.2 and 6p21.3, the two CNVs may cause the structural rearrangements of neighbored important candidate genes, thus regulates the variation of height. Our results expand our knowledge of the genetic factors underlying height variation and the biological regulation of human height.
AB - Copy number variation (CNV) is a type of genetic variation which may have important roles in phenotypic variability and disease susceptibility. To hunt for genetic variants underlying human height variation, we performed a genome wide CNV association study for human height in 618 Chinese unrelated subjects using Affymetrix 500K array set. After adjusting for age and sex, we found that four CNVs at 6p21.3, 8p23.3-23.2, 9p23 and 16p12.1 were associated with human height (with borderline significant p value: 0.013, 0.011, 0.024, 0.049; respectively). However, after multiple tests correction, none of them was associated with human height. We observed that the gain of copy number (more than 2 copies) at 8p23.3-23.2 was associated with lower height (normal copy number vs. gain of copy number: 161.2 cm vs. 153.7 cm, p = 0.011), which accounted for 0.9% of height variation. Loss of copy number (less than 2 copies) at 6p21.3 was associated with 0.8% lower height (loss of copy number vs. normal copy number: 154.5 cm vs. 161.1 cm, p = 0.013). Since no important genes influencing height located in CNVs at loci of 8p23.3-23.2 and 6p21.3, the two CNVs may cause the structural rearrangements of neighbored important candidate genes, thus regulates the variation of height. Our results expand our knowledge of the genetic factors underlying height variation and the biological regulation of human height.
KW - Affymetrix 500K array
KW - CNV
KW - GWAS
KW - Human height
UR - https://www.scopus.com/pages/publications/78650568634
U2 - 10.1016/S1673-8527(09)60095-3
DO - 10.1016/S1673-8527(09)60095-3
M3 - 文章
C2 - 21193156
AN - SCOPUS:78650568634
SN - 1673-8527
VL - 37
SP - 779
EP - 785
JO - Journal of Genetics and Genomics
JF - Journal of Genetics and Genomics
IS - 12
ER -