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Common variants in the JAZF1 gene associated with height identified by linkage and genome-wide association analysis

Overview of attention for article published in Human Molecular Genetics, October 2008
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Article details
Title
Common variants in the JAZF1 gene associated with height identified by linkage and genome-wide association analysis
Published in
Human Molecular Genetics, October 2008
DOI 10.1093/hmg/ddn350
Pubmed ID
Authors
Abstract

Genes for height have gained interest for decades, but only recently have candidate genes started to be identified. We have performed linkage analysis and genome-wide association for height in approximately 4000 individuals from five European populations. A total of five chromosomal regions showed suggestive linkage and in one of these regions, two SNPs (rs849140 and rs1635852) were associated with height (nominal P = 7.0 x 10(-8) and P = 9.6 x 10(-7), respectively). In total, five SNPs across the genome showed an association with height that reached the threshold of genome-wide significance (nominal P < 1.6 x 10(-7)). The association with height was replicated for two SNPs (rs1635852 and rs849140) using three independent studies (n = 31 077, n=1268 and n = 5746) with overall meta P-values of 9.4 x 10(-10) and 5.3 x 10(-8). These SNPs are located in the JAZF1 gene, which has recently been associated with type II diabetes, prostate and endometrial cancer. JAZF1 is a transcriptional repressor of NR2C2, which results in low IGF1 serum concentrations, perinatal and early postnatal hypoglycemia and growth retardation when knocked out in mice. Both the linkage and association analyses independently identified the JAZF1 region affecting human height. We have demonstrated, through replication in additional independent populations, the consistency of the effect of the JAZF1 SNPs on height. Since this gene also has a key function in the metabolism of growth, JAZF1 represents one of the strongest candidates influencing human height identified so far.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 5%
Uruguay 1 2%
United States 1 2%
Italy 1 2%
Unknown 58 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 20 31%
Professor 8 13%
Student > Ph. D. Student 8 13%
Professor > Associate Professor 8 13%
Student > Master 4 6%
Other 8 13%
Unknown 8 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 48%
Medicine and Dentistry 9 14%
Biochemistry, Genetics and Molecular Biology 8 13%
Arts and Humanities 1 2%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 June 2021.
All research outputs
#4,943,577
of 34,054,827 outputs
Outputs from Human Molecular Genetics
#1,897
of 9,373 outputs
Outputs of similar age
#18,858
of 145,990 outputs
Outputs of similar age from Human Molecular Genetics
#14
of 68 outputs
Altmetric has tracked 34,054,827 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,373 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 79% 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 145,990 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 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.