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The non‐inherited maternal HLA haplotype affects the risk for type 1 diabetes

Overview of attention for article published in International Journal of Immunogenetics, January 2009
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Title
The non‐inherited maternal HLA haplotype affects the risk for type 1 diabetes
Published in
International Journal of Immunogenetics, January 2009
DOI 10.1111/j.1744-313x.2008.00802.x
Pubmed ID
Authors

K. Åkesson, A. Carlsson, S.‐A. Ivarsson, C. Johansson, B.‐M. Weidby, J. Ludvigsson, B. Gustavsson, Å. Lernmark, I. Kockum

Abstract

The aim was to test the hypothesis that the human leucocyte antigen (HLA) haplotype that is not inherited from the mother, that is, the non-inherited maternal antigen (NIMA) affects the risk for type 1 diabetes (T1D). A total of 563 children with T1D and 286 non-diabetic control children from Sweden were genotyped for DRB1, DQA1 and DQB1 alleles. The frequency of positively (DR4-DQA1*0301-B1*0302 and DR3-DQA1*0501-B1*0201), negatively (DR15-DQ A1*0102-B1*0602) or neutrally (all other) T1D associated HLA haplotypes were compared between NIMA and non-inherited paternal antigen (NIPA). All comparisons were carried out between HLA-matched patients and controls. The frequency of positively associated NIMA was higher among both DR4/X-positive healthy individuals compared wit DR4/X-positive patients (P < 0.00003) and DR3/X-positive healthy individuals compared with DR3/X-positive patients (P < 0.009). No such difference was observed for NIPA. High-risk NIMA was increased compared to NIPA among healthy DR3/X- and DR4/X-positive children (P < 0.05). There was no difference in frequency of positively associated haplotypes between patient NIMA and NIPA. The NIMA but not the NIPA affects the risk for T1D, suggesting that not only the inherited but also non-inherited maternal HLA haplotypes, perhaps through microchimerism or other mechanisms, may influence the risk for the disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 14%
Student > Ph. D. Student 2 14%
Researcher 2 14%
Professor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Agricultural and Biological Sciences 4 29%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 4 29%
Attention Score in Context

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 25 July 2012.
All research outputs
#22,051,351
of 24,602,766 outputs
Outputs from International Journal of Immunogenetics
#263
of 325 outputs
Outputs of similar age
#175,380
of 181,185 outputs
Outputs of similar age from International Journal of Immunogenetics
#3
of 3 outputs
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So far Altmetric has tracked 325 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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