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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Role of DNA Methylation in Type 2 Diabetes Aetiology – Using Genotype as a Causal Anchor
|
|---|---|
| Published in |
Diabetes, February 2017
|
| DOI | 10.2337/db16-0874 |
| Pubmed ID | |
| Authors |
Hannah R. Elliott, Hashem A. Shihab, Gabrielle A. Lockett, John W. Holloway, Allan F. McRae, George Davey Smith, Susan M. Ring, Tom R. Gaunt, Caroline L. Relton |
| Abstract |
Several studies have investigated the relationship between genetic variation and DNA methylation with respect to type 2 diabetes but it is unknown if DNA methylation is a mediator in the disease pathway or if it is altered in response to disease state. This study uses genotypic information as a causal anchor to help decipher the likely role of DNA methylation measured in peripheral blood in the aetiology of type 2 diabetes.Illumina HumanMethylation450 BeadChip data was generated on 1,018 young individuals from the ALSPAC cohort. In stage 1, 118 unique associations between published type 2 diabetes Single Nucleotide Polymorphisms (SNPs) and genome wide methylation (methylation quantitative trait loci; mQTLs) were identified. In stage 2, a further 226 mQTLs were identified between 202 additional independent non-type 2 diabetes SNPs and CpGs identified in stage 1. Where possible, associations were replicated in independent cohorts of similar age.We discovered that around half of known type 2 diabetes SNPs are associated with variation in DNA methylation and postulated that methylation could either be on a causal pathway to future disease or could be a non-causal biomarker. For one locus (KCNQ1), we were able to provide further evidence that methylation is likely to be on the causal pathway to disease in later life. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 33% |
| United Kingdom | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 11 | 16% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 5 | 7% |
| Professor | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 32% |
| Medicine and Dentistry | 11 | 16% |
| Agricultural and Biological Sciences | 10 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 17 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 2017.
All research outputs
#2,480,235
of 25,732,188 outputs
Outputs from Diabetes
#1,046
of 9,750 outputs
Outputs of similar age
#45,068
of 325,092 outputs
Outputs of similar age from Diabetes
#25
of 100 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,750 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 89% 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 325,092 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.