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Article

Building and validating a prediction model for paediatric type 1 diabetes risk using next generation targeted sequencing of class II HLA genes.

Diabetes/metabolism research and reviews - 1 Nov 2017

Zhao Lue Ping, Carlsson Annelie, Larsson Helena Elding, Forsander Gun, Ivarsson Sten A, Kockum Ingrid, Ludvigsson Johnny, Marcus Claude, Persson Martina, Samuelsson Ulf, Örtqvist Eva, Pyo Chul-Woo, Bolouri Hamid, Zhao Michael, Nelson Wyatt C, Geraghty Daniel E, Lernmark Åke

Abstract excerpt

AIM: It is of interest to predict possible lifetime risk of type 1 diabetes (T1D) in young children for recruiting high-risk subjects into longitudinal studies of effective prevention strategies. METHODS: Utilizing a case-control study in Sweden, we applied a recently developed next generation targeted sequencing technology to genotype class II genes and applied an object-oriented regression to build and validate...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 28755385
DOI: 10.1002/dmrr.2921
PMCID: PMC11587868

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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