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Genome-wide association study of iron traits and relation to diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL): potential genomic intersection of iron and glucose regulation?

Overview of attention for article published in Human Molecular Genetics, March 2017
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Genome-wide association study of iron traits and relation to diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL): potential genomic intersection of iron and glucose regulation?
Published in
Human Molecular Genetics, March 2017
DOI 10.1093/hmg/ddx082
Pubmed ID
Authors

Laura M Raffield, Tin Louie, Tamar Sofer, Deepti Jain, Eli Ipp, Kent D Taylor, George J Papanicolaou, Larissa Avilés-Santa, Leslie A Lange, Cathy C Laurie, Matthew P Conomos, Timothy A Thornton, Yii-Der Ida Chen, Qibin Qi, Scott Cotler, Bharat Thyagarajan, Neil Schneiderman, Jerome I Rotter, Alex P Reiner, Henry J Lin

Abstract

Genetic variants contribute to normal variation of iron-related traits and may also cause clinical syndromes of iron deficiency or excess. Iron overload and deficiency can adversely affect human health. For example, elevated iron storage is associated with increased diabetes risk, although mechanisms are still being investigated. We conducted the first genome-wide association study (GWAS) of serum iron, total iron binding capacity (TIBC), transferrin saturation, and ferritin in a Hispanic/Latino cohort, the Hispanic Community Health Study/Study of Latinos (HCHS/SOL; >12,000 participants) and also assessed the generalization of previously known loci to this population. We then evaluated whether iron-associated variants were associated with diabetes and glycemic traits. We found evidence for a novel association between TIBC and a variant near the gene for protein phosphatase 1, regulatory subunit 3B (PPP1R3B; rs4841132, β=-0.116, P=7.44x10-8). The effect strengthened when iron deficient individuals were excluded (β=-0.121, P=4.78x10-9). Ten of sixteen variants previously associated with iron traits generalized to HCHS/SOL, including variants at the TF, HFE, FADS2/MYRF, TMPRSS6, TFR2, NAT2, ABO, and GAB3 loci. In examining iron variant associations with glucose homeostasis, an iron-raising variant of TMPRSS6 was associated with lower HbA1c levels (P=8.66x10-10). This association was attenuated upon adjustment for iron measures. In contrast, the iron-raising allele of PPP1R3B was associated with higher levels of fasting glucose (P=7.70x10-7) and fasting insulin (P=4.79x10-6), but these associations were not attenuated upon adjustment for TIBC - so iron is not likely a mediator. These results provide new genetic information on iron traits and their connection with glucose homeostasis.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Ph. D. Student 13 17%
Student > Bachelor 13 17%
Student > Master 9 12%
Professor 4 5%
Other 10 13%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 23 30%
Biochemistry, Genetics and Molecular Biology 17 22%
Agricultural and Biological Sciences 4 5%
Nursing and Health Professions 3 4%
Psychology 3 4%
Other 7 9%
Unknown 19 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 April 2017.
All research outputs
#7,466,628
of 22,961,203 outputs
Outputs from Human Molecular Genetics
#3,726
of 8,041 outputs
Outputs of similar age
#120,010
of 308,002 outputs
Outputs of similar age from Human Molecular Genetics
#47
of 107 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,041 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 53% 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 308,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.