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Genetic associations with 25-hydroxyvitamin D deficiency in HIV-1-infected youth: fine-mapping for the GC/DBP gene that encodes the vitamin D-binding protein

Overview of attention for article published in Frontiers in Genetics, January 2013
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Title
Genetic associations with 25-hydroxyvitamin D deficiency in HIV-1-infected youth: fine-mapping for the GC/DBP gene that encodes the vitamin D-binding protein
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00234
Pubmed ID
Authors

Travis Porter

Abstract

Serum 25-hydroxyvitamin D [25(OH)D] is often deficient (<12 ng/ml) or insufficient (<20 ng/ml) in youth living with human immunodeficiency virus type 1 infection (YLH). Based on evidence from multiple genome-wide association studies, we hypothesized that genetic factors associated with 25(OH)D deficiency should be readily detectable in YLH even when controlling for other known factors, including use of the antiretroviral drug efavirenz (EFV). Genotyping by bi-directional sequencing targeted 15 single nucleotide polymorphisms (SNPs) at the GC/DBP locus, with a focus on coding and regulatory variants, as well as those repeatedly reported in the literature. Three intronic SNPs (rs222016, rs222020, and rs222029) in a conserved haplotype block had unequivocal association signals (false discovery rate ≤ 0.006). In particular, the minor allele G for rs222020 was highly unfavorable among 192 YLH (99 African-Americans and 93 others), as gauged by relatively low likelihood for 25(OH)D sufficiency at enrollment (odds ratio = 0.31, p = 9.0 × 10(-4)). In a reduced multivariable model, race, season, latitude, body mass index, exposure to EFV, and rs222020-G were independent factors that collectively accounted for 38% of variance in the log10-transformed 25(OH)D concentration (p < 0.0001). Interaction terms were evident for rs222020-G × season (p < 0.001), latitude × season (especially fall and winter; p < 0.01), and race × EFV use (p = 0.024). Overall, variance in serum 25(OH)D is substantially attributable to multiple factors, but the exact contribution of genetic and non-genetic factors can be obscured by partial overlaps and frequent interactions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 21%
Student > Ph. D. Student 3 21%
Student > Bachelor 2 14%
Professor > Associate Professor 2 14%
Student > Master 1 7%
Other 0 0%
Unknown 3 21%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Agricultural and Biological Sciences 3 21%
Immunology and Microbiology 2 14%
Unknown 4 29%
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 14 November 2013.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from Frontiers in Genetics
#8,548
of 11,757 outputs
Outputs of similar age
#248,807
of 280,769 outputs
Outputs of similar age from Frontiers in Genetics
#263
of 319 outputs
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