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Sex difference of autosomal alleles in populations of European and African descent

Overview of attention for article published in Genes & Genomics, September 2015
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  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Sex difference of autosomal alleles in populations of European and African descent
Published in
Genes & Genomics, September 2015
DOI 10.1007/s13258-015-0332-z
Pubmed ID
Authors

Lingjun Zuo, Tong Wang, Xiandong Lin, Jijun Wang, Yunlong Tan, Xiaoping Wang, Xueqing Yu, Xingguang Luo

Abstract

In the present study, we aimed to report the individual sex-different genetic markers across autosomes in European- and African-origin populations. A total of 8,400 females and 8,081 males in 19 independent cohorts were genotyped across genomes using Illumina or Affymetrix arrays. The allele frequencies were compared between females and males in 9 non-clean cohorts (with some human disease traits) using genome-wide logistic regression and then the nominally significant associations were replicated across 10 clean cohorts (without disease traits). Meta-analysis was performed to derive the combined p values across all cohorts. We found 13 markers that were genome-wide significant (p≤5×10(-8)) between females and males in the meta-analysis of all cohorts of European descent, including rs7740449 at SYNE1, rs7531151 at PLD5, rs697455 at PPP1R12B, rs6745746 at LOC100128413, rs17000079 at PARM1, rs11948070 at PDE4D, rs7801825 at INSIG1, rs9551642 at MTUS2, rs2932174 at TPTE2, rs1961597 at SALL3, rs4117529 at METTL4, rs6021473 at SALL4 and rs6092466 at RAE1, and one marker, i.e., rs10145208 at PCNX, that was genome-wide significant in the meta-analysis of all cohorts of African descent. The most robust finding was rs7740449 at SYNE1, next to ESR1. We conclude that there are many sex-different markers on autosomes. These markers may be informative in differentiating females and males.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Doctoral Student 2 11%
Professor > Associate Professor 2 11%
Professor 2 11%
Lecturer 1 5%
Other 4 21%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 4 21%
Biochemistry, Genetics and Molecular Biology 4 21%
Neuroscience 3 16%
Business, Management and Accounting 1 5%
Environmental Science 1 5%
Other 0 0%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 December 2015.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Genes & Genomics
#273
of 661 outputs
Outputs of similar age
#203,284
of 277,000 outputs
Outputs of similar age from Genes & Genomics
#3
of 27 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 661 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.