ArticleScientific reports2021
Nine residues in HLA-DQ molecules determine with susceptibility and resistance to type 1 diabetes among young children in Sweden.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Profiling associations of interactive ligand-receptors (HLA class I and KIR gene products) with the progression to type 1 diabetes among seroconverted participants.Diabetologia · 2025Article
- Fifty years of HLA-associated type 1 diabetes risk: history, current knowledge, and future directions.Frontiers in immunology · 2024Review
- Assessment of Novel Proteins Triggering Celiac Disease via Docking-Based Approach.Molecules (Basel, Switzerland) · 2023Article
- A Concerted Vision to Advance the Knowledge of Diabetes Mellitus Related to Immune Checkpoint Inhibitors.International journal of molecular sciences · 2023Review
- MHC Class II Presentation in Autoimmunity.Cells · 2023Review
- Association between alleles, haplotypes, and amino acid variations in HLA class II genes and type 1 diabetes in Kuwaiti children.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 3 countries.
Funding
Abstract
HLA-DQ molecules account over 50% genetic risk of type 1 diabetes (T1D), but little is known about associated residues. Through next generation targeted sequencing technology and deep learning of DQ residue sequences, the aim was to uncover critical residues and their motifs associated with T1D. Our analysis uncovered (αa1, α44, α157, α196) and (β9, β30, β57, β70, β135) on the HLA-DQ molecule. Their motifs captured all known susceptibility and resistant T1D associations. Three motifs, "DCAA-YSARD" (OR = 2.10, p = 1.96*10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.