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Environmental and Genetic Contributors to Salivary Testosterone Levels in Infants

Overview of attention for article published in Frontiers in endocrinology, October 2014
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Title
Environmental and Genetic Contributors to Salivary Testosterone Levels in Infants
Published in
Frontiers in endocrinology, October 2014
DOI 10.3389/fendo.2014.00187
Pubmed ID
Authors

Kai Xia, Yang Yu, Mihye Ahn, Hongtu Zhu, Fei Zou, John H. Gilmore, Rebecca C. Knickmeyer

Abstract

Transient activation of the hypothalamic-pituitary-gonadal axis in early infancy plays an important role in male genital development and sexual differentiation of the brain, but factors contributing to individual variation in testosterone levels during this period are poorly understood. We measured salivary testosterone levels in 222 infants (119 males, 103 females, 108 singletons, 114 twins) between 2.70 and 4.80 months of age. We tested 16 major demographic and medical history variables for effects on inter-individual variation in salivary testosterone. Using the subset of twins, we estimated genetic and environmental contributions to salivary testosterone levels. Finally, we tested single nucleotide polymorphisms (SNPs) within ±5 kb of genes involved in testosterone synthesis, transport, signaling, and metabolism for associations with salivary testosterone using univariate tests and random forest (RF) analysis. We report an association between 5 min APGAR scores and salivary testosterone levels in males. Twin modeling indicated that individual variability in testosterone levels was primarily explained by environmental factors. Regarding genetic variation, univariate tests did not reveal any variants significantly associated with salivary testosterone after adjusting for false discovery rate. The top hit in males was rs10923844, an SNP of unknown function located downstream of HSD3B1 and HSD3B2. The top hits in females were two SNPs located upstream of ESR1 (rs3407085 and rs2295190). RF analysis, which reflects joint and conditional effects of multiple variants, indicated that genes involved in regulation of reproductive function, particularly LHCGR, are related to salivary testosterone levels in male infants, as are genes involved in cholesterol production, transport, and removal, while genes involved in estrogen signaling are related to salivary testosterone levels in female infants.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Student > Ph. D. Student 6 16%
Researcher 6 16%
Student > Master 5 13%
Other 4 11%
Other 4 11%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Psychology 5 13%
Agricultural and Biological Sciences 4 11%
Nursing and Health Professions 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Other 7 18%
Unknown 8 21%
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 01 November 2014.
All research outputs
#20,570,078
of 26,150,873 outputs
Outputs from Frontiers in endocrinology
#5,981
of 13,366 outputs
Outputs of similar age
#191,599
of 276,204 outputs
Outputs of similar age from Frontiers in endocrinology
#31
of 63 outputs
Altmetric has tracked 26,150,873 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 276,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.