| Title |
Association between IgH enhancer hs1.2 and type 1 diabetes
|
|---|---|
| Published in |
Acta Diabetologica, February 2018
|
| DOI | 10.1007/s00592-018-1103-5 |
| Pubmed ID | |
| Authors |
Rossella Cianci, Pietro D’Addabbo, Giovanni Gambassi, Serena Lolli, Eliseo Serone, Alessandro Rizzi, Dario Pitocco, Franco Pandolfi, Domenico Frezza |
| Abstract |
To investigate the association of alleles of the 3' immunoglobulin heavy-chain regulatory region 1 (3'RR-1) enhancer hs1.2 in patients with type 1 diabetes (T1D). Eighty-one patients with T1D [among which 12 had concomitant coeliac disease (CD) and 25 an autoimmune thyroid disease (AITD)] were compared to 248 healthy individuals. All subjects were recruited from the same geographical area. Blood samples were collected from all patients and a nested PCR was performed to amplify the core of the 3'RR-1 and detect the alleles of the hs1.2 enhancer. Allele distribution in healthy individuals was significantly different when compared to that of patients with T1D (p < 0.01). Even greater differences were detected comparing allele distribution of patients with T1D alone versus those with concomitant CD, but not versus those with concomitant AITD. The frequency of *2 allele is increased by 23% in patients with T1D and CD. The present study establishes that the multiallelic hs1.2 enhancer of the 3'RR-1 is associated with T1D, with higher frequency when there is co-occurrence of CD. This evidence has been previously observed in other immune diseases. |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Other | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Nursing and Health Professions | 1 | 8% |
| Unknown | 3 | 25% |
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 17 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Acta Diabetologica
#656
of 929 outputs
Outputs of similar age
#334,984
of 446,086 outputs
Outputs of similar age from Acta Diabetologica
#19
of 29 outputs
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