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Attention Score in Context
| Title |
Exploring genome-wide – dietary heme iron intake interactions and the risk of type 2 diabetes
|
|---|---|
| Published in |
Frontiers in Genetics, January 2013
|
| DOI | 10.3389/fgene.2013.00007 |
| Pubmed ID | |
| Authors |
Louis R. Pasquale, Stephanie J. Loomis, Hugues Aschard, Jae H. Kang, Marilyn C. Cornelis, Lu Qi, Peter Kraft, Frank B. Hu |
| Abstract |
Aims/hypothesis: Genome-wide association studies have identified over 50 new genetic loci for type 2 diabetes (T2D). Several studies conclude that higher dietary heme iron intake increases the risk of T2D. Therefore we assessed whether the relation between genetic loci and T2D is modified by dietary heme iron intake.Methods: We used Affymetrix Genome-Wide Human 6.0 array data [681,770 single nucleotide polymorphisms (SNPs)] and dietary information collected in the Health Professionals Follow-up Study (n = 725 cases; n = 1,273 controls) and the Nurses' Health Study (n = 1,081 cases; n = 1,692 controls). We assessed whether genome-wide SNPs or iron metabolism SNPs interacted with dietary heme iron intake in relation to T2D, testing for associations in each cohort separately and then meta-analyzing to pool the results. Finally, we created 1,000 synthetic pathways matched to an iron metabolism pathway on number of genes, and number of SNPs in each gene. We compared the iron metabolic pathway SNPs with these synthetic SNP assemblies in their relation to T2D to assess if the pathway as a whole interacts with dietary heme iron intake.Results: Using a genomic approach, we found no significant gene-environment interactions with dietary heme iron intake in relation to T2D at a Bonferroni corrected genome-wide significance level of 7.33 ×10(-) (8) (top SNP in pooled analysis: intergenic rs10980508; p = 1.03 × 10(-) (6)). Furthermore, no SNP in the iron metabolic pathway significantly interacted with dietary heme iron intake at a Bonferroni corrected significance level of 2.10 × 10(-) (4) (top SNP in pooled analysis: rs1805313; p = 1.14 × 10(-) (3)). Finally, neither the main genetic effects (pooled empirical p by SNP = 0.41), nor gene - dietary heme-iron interactions (pooled empirical p-value for the interactions = 0.72) were significant for the iron metabolic pathway as a whole.Conclusions: We found no significant interactions between dietary heme iron intake and common SNPs in relation to T2D. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Nigeria | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Researcher | 6 | 13% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 3 | 6% |
| Other | 10 | 21% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 21% |
| Medicine and Dentistry | 9 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Nursing and Health Professions | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 13 | 28% |
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 07 February 2013.
All research outputs
#17,677,535
of 22,694,633 outputs
Outputs from Frontiers in Genetics
#6,020
of 11,755 outputs
Outputs of similar age
#210,115
of 280,671 outputs
Outputs of similar age from Frontiers in Genetics
#218
of 319 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,755 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.