Epigenetic analyses suggest different pathways during pregnancy for development of Type 1 diabetes in children with high versus low‐neutral human leukocyte antigen‐risk

These findings indicate that heterogeneity in T1D pathogenetic mechanisms based on HLA background may influence disease development.

Authors

Institutions

Publication Details

Journal
Journal of Internal Medicine
Published
2026-02-25
DOI
https://doi.org/10.1111/joim.70077
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epigenetic analyses suggest different pathways during pregnancy for development of Type 1 diabetes in children with high versus low‐neutral human leukocyte antigen‐risk

Mika Gustafsson, Julia Åkesson, Angelica P. Ahrens, Thomas Hillerton et al.
Journal of Internal Medicine
Diabetes and associated disorders
article

Epigenetic analyses suggest different pathways during pregnancy for development of Type 1 diabetes in children with high versus low‐neutral human leukocyte antigen‐risk

Mika Gustafsson, Julia Åkesson, Angelica P. Ahrens, Thomas Hillerton, Maria Lerm, Shamila Darvish Alipoor, Johnny Ludvigsson
article en

Abstract

These findings indicate that heterogeneity in T1D pathogenetic mechanisms based on HLA background may influence disease development.

Journal of Internal Medicine
Linköping University (SE), University of Florida (US), Linköping University Hospital (SE)
Good health and well-being
Openalex Percentile: Top 42%
Diabetes and associated disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.