Evidence mapPaperPMID 41516031Full record

ArticleInternational journal of molecular sciences2025

Functional Characterization of Glucokinase Variants to Aid Clinical Interpretation of Monogenic Diabetes.

Varsha Rajesh, Dora Evelyn Ibarra, Jing Yang, Haichen Zhang, Amy Barrett, Eleanor G Kaplan, Amit Kumthekar, Fanny Sunden, Han Sun, Ananta Addala and 8 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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.

Varsha RajeshDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.
Dora Evelyn IbarraDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.ORCID 0009-0004-0222-8954
Jing YangDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.
Haichen ZhangDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-0615-2836
Amy BarrettOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK.ORCID 0000-0002-1727-3633
Eleanor G KaplanDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.
Amit KumthekarDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.
Fanny SundenDepartment of Biochemistry, Stanford School of Medicine, Stanford, CA 94305, USA.
Han SunDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.
Ananta AddalaDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-0508-4309
Aaron MisakianDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-6005-0630
Lisa R Letourneau-FreibergKovler Diabetes Center, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-9465-4870
Colleen O JodarskiDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0001-6640-8963
Kristin A MaloneyDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-8607-1146
Cécile Saint-MartinDepartment of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, 75012 Paris, France.
Polly M FordyceDepartment of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-9505-0638
Toni I PollinDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Anna L GloynDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-1205-1844

Funding

Deep Mutational Scanning of Monogenic Diabetes Genes to Facilitate Precision Diagnostics for DiabetesR01DK140555 · STANFORD UNIVERSITY · 2025 to 2025
$657k
Genetics and Developmental Biology Training ProgramT32GM141828 · STANFORD UNIVERSITY · 2025 to 2025
$534k
NIDDK NIH HHS R01 DK140555NIDDK NIH HHS R01DK140555NIDDK NIH HHS UM1 DK126185NIDDK NIH HHS UM1DK126185NIH HHS T32GM141828Wellcome Trust 200837
6 · The paper itself

Abstract

Precision medicine starts with a precision diagnosis. Yet up to 80% of cases of monogenic diabetes, a form of diabetes characterized by mutations in a single gene, are either overlooked or misdiagnosed. A genetic test for monogenic diabetes does not always lead to a precise diagnosis, as novel variants are often classified as variants of unknown significance. Variant interpretation requires collation of a framework of evidence, including population, computational, and segregation data, and can be assisted by functional analysis. The inclusion of functional data can be challenging, depending on the number of benign and pathogenic variants available for benchmarking assays. Glucokinase is the rate-limiting step for glucose metabolism in the pancreatic beta-cell and governs the threshold for glucose-stimulated insulin release. Loss-of-function alleles in the glucokinase (

Indexed as

Diabetes MellitusGenetic VariationGlucokinaseDiabetes Mellitus, Type 2HumansInsulinInsulin-Secreting CellsMutationGlucokinaseInsulinglucokinasehypoglycemiaMODYmonogenic diabetesVUS

Identifiers

PMID41516031
PMCPMC12785307

What Socratic holds

Textmetadata
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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 Socratic graph.