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Attention Score in Context
| Title |
Exome array analysis identifies new loci and low-frequency variants influencing insulin processing and secretion
|
|---|---|
| Published in |
Nature Genetics, December 2012
|
| DOI | 10.1038/ng.2507 |
| Pubmed ID | |
| Authors |
Jeroen R Huyghe, Anne U Jackson, Marie P Fogarty, Martin L Buchkovich, Alena Stančáková, Heather M Stringham, Xueling Sim, Lingyao Yang, Christian Fuchsberger, Henna Cederberg, Peter S Chines, Tanya M Teslovich, Jane M Romm, Hua Ling, Ivy McMullen, Roxann Ingersoll, Elizabeth W Pugh, Kimberly F Doheny, Benjamin M Neale, Mark J Daly, Johanna Kuusisto, Laura J Scott, Hyun Min Kang, Francis S Collins, Gonçalo R Abecasis, Richard M Watanabe, Michael Boehnke, Markku Laakso, Karen L Mohlke |
| Abstract |
Insulin secretion has a crucial role in glucose homeostasis, and failure to secrete sufficient insulin is a hallmark of type 2 diabetes. Genome-wide association studies (GWAS) have identified loci contributing to insulin processing and secretion; however, a substantial fraction of the genetic contribution remains undefined. To examine low-frequency (minor allele frequency (MAF) 0.5-5%) and rare (MAF < 0.5%) nonsynonymous variants, we analyzed exome array data in 8,229 nondiabetic Finnish males using the Illumina HumanExome Beadchip. We identified low-frequency coding variants associated with fasting proinsulin concentrations at the SGSM2 and MADD GWAS loci and three new genes with low-frequency variants associated with fasting proinsulin or insulinogenic index: TBC1D30, KANK1 and PAM. We also show that the interpretation of single-variant and gene-based tests needs to consider the effects of noncoding SNPs both nearby and megabases away. This study demonstrates that exome array genotyping is a valuable approach to identify low-frequency variants that contribute to complex traits. |
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 % |
|---|---|---|
| Thailand | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| United Kingdom | 3 | 1% |
| France | 2 | <1% |
| Norway | 2 | <1% |
| Canada | 2 | <1% |
| Mexico | 2 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 230 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 75 | 29% |
| Student > Ph. D. Student | 61 | 24% |
| Student > Master | 19 | 7% |
| Other | 18 | 7% |
| Professor > Associate Professor | 16 | 6% |
| Other | 47 | 18% |
| Unknown | 22 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 98 | 38% |
| Biochemistry, Genetics and Molecular Biology | 55 | 21% |
| Medicine and Dentistry | 48 | 19% |
| Computer Science | 6 | 2% |
| Mathematics | 3 | 1% |
| Other | 14 | 5% |
| Unknown | 34 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 12 July 2019.
All research outputs
#1,619,898
of 26,017,215 outputs
Outputs from Nature Genetics
#2,316
of 7,639 outputs
Outputs of similar age
#14,083
of 295,424 outputs
Outputs of similar age from Nature Genetics
#25
of 84 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 69% 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 295,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 84 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 70% of its contemporaries.