Evidence map›Paper›PMID 42353203›Full record

ArticleInternational journal of molecular sciences2026

Associations Between Previously Identified Genetic Variants and Clinical Phenotypes of Diabetic Neuropathy in Type 2 Diabetes: An Exploratory Analysis of the Discovery Cohort.

Noémi Hajdú, Zsófia Ludvig, Ramóna Rácz, Ildikó Istenes, Magdolna Békeffy, Orsolya Erzsébet Vági, Anna Erzsébet Körei, Eszter Horváth, Bálint Tóbiás, Anett Illés and 8 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Noémi HajdúDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Zsófia LudvigDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Ramóna RáczDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Ildikó IstenesDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Magdolna BékeffyDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Orsolya Erzsébet VágiDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Anna Erzsébet KöreiDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Eszter HorváthDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Bálint TóbiásDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Anett IllésDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.ORCID 0000-0001-5351-9015
Henriett PikóDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
János P KósaDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.ORCID 0009-0005-7510-8387
Kristóf ÁrvaiHungarian Research Network HUN-REN-ENDOMOLPAT, 1085 Budapest, Hungary.
Máté PostaDepartment of Bioinformatics, Semmelweis University, 1094 Budapest, Hungary.
Péter András LakatosDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Péter KemplerDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Zsuzsanna PutzDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Dóra Zsuzsanna TordaiDepartment of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Funding

Hungarian Diabetes Foundation noneHungarian Research Network HUN-REN-SE-ENDOMOLPATMinistry for Innovation and Technology 2020-4.1.1.-TKP2020-MOLORKIV, 2020-1.1.5-Gyorsitosav-2021-00020 P-Invent
6 · The paper itself

Abstract

Diabetic neuropathy is a common and multifactorial complication of type 2 diabetes, in which genetic susceptibility is increasingly recognized as a contributing factor. This study (cross-sectional case-control) aimed to investigate the associations between previously identified genetic variants and clinically relevant neurophysiological and symptomatic parameters. A total of 48 individuals with type 2 diabetes (24 with neuropathy and 24 without) were included. Neuropathy was assessed using standardized neurological, sensory, and cardiovascular autonomic function tests. Genetic variants were selected in a prior discovery analysis of this same cohort and re-tested here, precluding independent validation. Associations between genetic variants and clinical parameters were assessed through group-based comparisons using Mann-Whitney U tests and Fisher's exact test, correlation analysis using Spearman's rank correlation, permutation-based testing to improve robustness, and multivariable linear regression adjusted for age and sex to account for potential demographic confounding (q < 0.1). Mann-Whitney U test analysis identified several associations between genetic variants and neuropathy-related clinical parameters. In the Mann-Whitney U test analysis, only the rs6682221 variant remained significantly associated with heat detection threshold in the left hand after false discovery rate correction (

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesGenetic Predisposition to DiseaseGenetic VariationPolymorphism, Single NucleotideAgedCase-Control StudiesCohort StudiesCross-Sectional StudiesFemaleGenetic Association StudiesHumansMaleMiddle AgedPhenotypecardiovascular autonomic neuropathycase–controlclinical associations with genetic variantsdiabetic neuropathysensory neuropathysingle-nucleotide polymorphismstype 2 diabeteswhole-exome sequencing

Identifiers

PMID42353203
PMCPMC13299346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.