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Genome-wide association scan for stature in Chinese: evidence for ethnic specific loci

Overview of attention for article published in Human Genetics, November 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
27 Mendeley
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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
United Kingdom 2 7%
Switzerland 1 4%
Unknown 22 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Unspecified 5 19%
Professor > Associate Professor 4 15%
Student > Ph. D. Student 3 11%
Professor 2 7%
Other 5 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 37%
Unspecified 7 26%
Medicine and Dentistry 5 19%
Biochemistry, Genetics and Molecular Biology 2 7%
Social Sciences 2 7%
Other 1 4%

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
#969,693
of 7,820,779 outputs
Outputs from Human Genetics
#134
of 1,805 outputs
Outputs of similar age
#15,604
of 117,696 outputs
Outputs of similar age from Human Genetics
#2
of 17 outputs
Altmetric has tracked 7,820,779 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,805 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 117,696 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.