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Cited by 377

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Allelic sequence variation of the HLA-DQ loci: relationship to serology and to insulin-dependent diabetes susceptibility.

Open access
Horn, G T, Bugawan, T L, Long, C M, Erlich, H A·1988·Proceedings of the National Academy of Sciences

Abstract

Analysis of sequence variation in the polymorphic second exon of the major histocompatibility complex genes HLA-DQ alpha and -DQ beta has revealed 8 allelic variants at the alpha locus and 13 variants at the beta locus. Correlation of sequence variation with serologic typing suggests that the DQw2, DQw3, and DQ(blank) types are determined by the DQ beta subunit, while the DQw1 specificity is determined by DQ alpha. The nature of the amino acid at position 57 in the DQ beta subunit is correlated with susceptibility to insulin-dependent diabetes mellitus. This region of the DQ beta chain contains shared peptides with Epstein-Barr virus and rubella virus.

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Crossref · 10.1073/pnas.85.16.6012

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Metadata

Authors
Horn, G. T., Bugawan, T. L., Long, C. M., & Erlich, H. A.
Venue
Proceedings of the National Academy of Sciences
Published
1988-08
Volume
85
Issue
16
Pages
6012-6016
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2001412093
Cited by
377
References
2
FWCI
34.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Allelic sequence variation of the HLA-DQ loci: relationship to serology and to insulin-dependent diabetes susceptibility. https://app.cochat.ai/papers/10.1073/pnas.85.16.6012
The paper
Horn, G. T., Bugawan, T. L., Long, C. M., & Erlich, H. A. (1988). Allelic sequence variation of the HLA-DQ loci: relationship to serology and to insulin-dependent diabetes susceptibility. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.85.16.6012

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.