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Cited by 287

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

HUMAN TYPE 1 DIABETES AND THE INSULIN GENE: Principles of Mapping Polygenes

Bennett, S. T., Todd, J. A.·1996·Annual Review of Genetics

Abstract

▪ Abstract We review the strategy used to identify a susceptibility locus (IDDM2) for type 1 (insulin dependent) diabetes mellitus. As type 1 diabetes is becoming the paradigm for dissecting multifactorial disease genetics, the approach described provides important general guidelines for positional cloning of human disease polygenes. Main topics include: (a) historical conspectus of the mapping and identification of IDDM2—a critical survey of the work leading up to the conclusion that IDDM2 most likely corresponds to allelic variation at the insulin gene minisatellite (VNTR) locus; (b) the nature of allelic (length and sequence) variation at the VNTR locus; (c) gene interactions and disease pathogenesis; (d) mechanism of action of the INS VNTR in type 1 diabetes—insulin gene expression, parent-of-origin effects (genomic imprinting); and (e) summary and future prospects—alleles of the insulin VNTR that are protective for type 1 diabetes appear to encode susceptibility to type 2 diabetes.

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Metadata

Authors
Bennett, S. T., & Todd, J. A.
Venue
Annual Review of Genetics
Published
1996-12
Volume
30
Issue
1
Pages
343-370
ISSN
  • 0066-4197 (ISSN-L)
  • 1545-2948
OpenAlex
W2111067855
Cited by
287
References
84
FWCI
1.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: HUMAN TYPE 1 DIABETES AND THE INSULIN GENE: Principles of Mapping Polygenes. https://app.cochat.ai/papers/10.1146/annurev.genet.30.1.343
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Bennett, S. T., & Todd, J. A. (1996). HUMAN TYPE 1 DIABETES AND THE INSULIN GENE: Principles of Mapping Polygenes. Annual Review of Genetics. https://doi.org/10.1146/annurev.genet.30.1.343

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.