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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next-Generation Sequencing Reveals That HLA-DRB3, -DRB4, and -DRB5 May Be Associated With Islet Autoantibodies and Risk for Childhood Type 1 Diabetes
|
|---|---|
| Published in |
Diabetes, January 2016
|
| DOI | 10.2337/db15-1115 |
| Pubmed ID | |
| Authors |
Lue Ping Zhao, Shehab Alshiekh, Michael Zhao, Annelie Carlsson, Helena Elding Larsson, Gun Forsander, Sten A. Ivarsson, Johnny Ludvigsson, Ingrid Kockum, Claude Marcus, Martina Persson, Ulf Samuelsson, Eva Örtqvist, Chul-Woo Pyo, Wyatt C. Nelson, Daniel E. Geraghty, Åke Lernmark |
| Abstract |
The possible contribution of HLA-DRB3, -DRB4 and -DRB5 alleles to type 1 diabetes risk and to autoantibodies against insulin (IAA), GAD65 (GADA), IA-2 (IA-2A) or ZnT8 against either of the three amino acid variants, R, W or Q at position 325 (ZnT8RA, ZnT8WA, and ZnT8QA, respectively) at clinical diagnosis is unclear. Next generation sequencing (NGS) was therefore used to determine all DRB alleles in consecutively diagnosed, islet autoantibody positive 1-18 years old type 1 diabetes patients (n=970) and controls (n=448). It was tested whether DRB3, DRB4 or DRB5 alleles were associated with the risk of DRB1 for autoantibodies, type 1 diabetes, or both. The association between type 1 diabetes and DRB1*03:01:01 was affected by DRB3*01:01:02 and DRB3*02:02:01. These DRB3 alleles were associated positively with GADA but negatively with ZnT8WA, IA-2A and IAA. The negative association between type 1 diabetes and DRB1*13:01:01 was affected by DRB3*01:01:02 to increase the risk and by DRB3*02:02:01 to maintain a negative association. DRB4*01:03:01 was strongly associated with type 1 diabetes (p=10(-36)) yet its association was extensively affected by DRB1 alleles from protective (DRB1*04:03:01) to high (DRB1*04:01:01) risk but with DRB1:04:05:01 it decreased the risk. HLA-DRB3, -DRB4, and -DRB5 affect type 1 diabetes risk and islet autoantibodies. HLA typing with next generation sequencing should prove useful to select participants for prevention or intervention trials. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Czechia | 1 | 2% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Bachelor | 11 | 17% |
| Student > Ph. D. Student | 10 | 16% |
| Student > Doctoral Student | 4 | 6% |
| Other | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 28% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Agricultural and Biological Sciences | 6 | 9% |
| Immunology and Microbiology | 5 | 8% |
| Nursing and Health Professions | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 30 March 2016.
All research outputs
#1,874,878
of 23,577,654 outputs
Outputs from Diabetes
#817
of 9,336 outputs
Outputs of similar age
#33,814
of 396,965 outputs
Outputs of similar age from Diabetes
#20
of 102 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,336 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done particularly well, scoring higher than 91% 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 396,965 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 91% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.