Evidence map›Paper›PMID 36585034›Full record

ArticleBMJ open diabetes research & care2022

Co-segregation analysis and functional trial in vivo of candidate genes for monogenic diabetes.

Ingrida Stankute, Mintaute Kazlauskiene, Jean-Louis Blouin, Valerie M Schwitzgebel, Rasa Verkauskiene

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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

5 authors at 2 institutions in 2 countries.

Ingrida StankuteInstitute of Endocrinology, Lithuanian University of Health Sciences, Kaunas, Lithuania ingridutes@gmail.com.ORCID 0000-0002-0228-7143
Mintaute KazlauskieneInstitute of Endocrinology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Jean-Louis BlouinDepartment of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.
Valerie M SchwitzgebelPediatric Endocrine and Diabetes Unit, Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, Geneva, Switzerland.
Rasa VerkauskieneInstitute of Endocrinology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lithuanian University of Health Sciences · LTUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study was to perform familial co-segregation analysis and functional trial in vivo during mixed meal tolerance test (MMTT) of novel variants in diabetes candidate genes. RESEARCH DESIGN AND

methodsIt is a continuation of the project "Genetic diabetes in Lithuania" with the cohort of 1209 patients with diabetes. Prior screening for autoimmune markers confirmed type 1 diabetes (T1D) diagnosis in 88.1% (n=1065) of patients, and targeted next-generation sequencing identified 3.5% (n=42) pathogenic variants in MODY genes. Subsequently, 102 patients were classified as having diabetes of unknown etiology. 12/102 were found to have novel variants in potential diabetes genes (

resultsMMTT analysis showed that probands with variants in

conclusionsFunctional beta-cell study in vivo allowed to select five most probable genes for monogenic diabetes. Familial co-segregation analysis showed that novel variant in

Indexed as

Diabetes Mellitus, Type 1Insulin-Secreting CellsC-PeptideHigh-Throughput Nucleotide SequencingHumansC-Peptidegeneticsmonogenic diabetes

Identifiers

PMID36585034
PMCPMC9809257
OpenAlexW4313365110

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.