| Title |
Genome-wide association scan for stature in Chinese: evidence for ethnic specific loci
|
|---|---|
| Published in |
Human Genetics, November 2008
|
| DOI | 10.1007/s00439-008-0590-9 |
| Pubmed ID | |
| Authors |
Shu-Feng Lei, Tie-Lin Yang, Li-Jun Tan, Xiang-Ding Chen, Yan Guo, Yan-Fang Guo, Liang Zhang, Xiao-Gang Liu, Han Yan, Feng Pan, Zhi-Xin Zhang, Yu-Mei Peng, Qi Zhou, Li-Na He, Xue-Zhen Zhu, Jing Cheng, Yao-Zhong Liu, Christopher J. Papasian, Hong-Wen Deng |
| Abstract |
In Caucasian, several studies have identified some common variants associated with human stature variation. However, no such study was performed in Chinese, which is the largest population in the world and evidently differs from Caucasian in genetic background. To identify common or ethnic specific genes for stature in Chinese, an initial GWAS and follow-up replication study were performed. Our initial GWAS study found that a group of 13 contiguous SNPs, which span a region of approximately 150 kb containing two neighboring genes, zinc finger protein (ZNP) 510 and ZNP782, achieved strong signals for association with stature, with P values ranging from 9.71 x 10(-5) to 3.11 x 10(-6). After false discovery rate correction for multiple testing, 9 of the 13 SNPs remain significant (FDR q=0.036-0.046). The follow-up replication study in an independent 2,953 unrelated southern Chinese confirmed the association of rs10816533 with stature (P=0.029). All the 13 SNPs were in consistently strong linkage disequilibrium (D'>0.99) and formed a single perfect haplotype block. The minor allele frequencies for the 13 contiguous SNPs have evidently ethnic difference, which range from 0.21 to 0.33 in Chinese but have as low as approximately 0.017 reported in dbSNP database in Caucasian. The present results suggest that the genomic region containing the ZNP510 and ZNP782 genes is an ethnic specific locus associated with stature variation in Chinese. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 9% |
| United States | 2 | 6% |
| Switzerland | 1 | 3% |
| Unknown | 29 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Professor > Associate Professor | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Professor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Medicine and Dentistry | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Social Sciences | 3 | 9% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2016.
All research outputs
#3,752,587
of 22,705,019 outputs
Outputs from Human Genetics
#374
of 2,950 outputs
Outputs of similar age
#20,716
of 165,802 outputs
Outputs of similar age from Human Genetics
#5
of 15 outputs
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