Evidence map›Paper›PMID 41252260›Full record

ReviewThe Journal of clinical endocrinology and metabolism2025

Genetics of Thyroid Function: Relevance for Biology and Disease Management.

Rosalie B T M Sterenborg, Robin P Peeters, Edward Visser, Aleksander Kuś, Jan W A Smit, Alexander Teumer, Marco Medici

Abstract readReview
In one paragraph

Review in The Journal of clinical endocrinology and metabolism, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  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

7 authors.

Rosalie B T M SterenborgDepartment of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.ORCID 0000-0003-4758-9185
Robin P PeetersDepartment of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, 3015 GD Rotterdam, the Netherlands.ORCID 0000-0001-7732-9371
Edward VisserDepartment of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, 3015 GD Rotterdam, the Netherlands.ORCID 0000-0002-5248-863X
Aleksander KuśDepartment of Internal Medicine and Endocrinology, Medical University of Warsaw, 02-507 Warsaw, Poland.
Jan W A SmitDepartment of Internal Medicine, Division of Endocrinology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.
Alexander TeumerDZHK (German Center for Cardiovascular Research), Partner Site Greifswald, 17475 Greifswald, Germany.ORCID 0000-0002-8309-094X
Marco MediciDepartment of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, 3015 GD Rotterdam, the Netherlands.ORCID 0000-0002-7271-7858

Funding

Deutsche Forschungsgemeinschaft 542489987
6 · The paper itself

Abstract

contextGenetic factors are a major contributor to variation in thyroid function. Recent studies have partly identified the responsible common genetic variants and studied their application in unraveling thyroid (patho)physiology as well as their potential clinical use. EVIDENCE ACQUISITION: This review summarizes the current state of knowledge regarding the genetic architecture of thyroid function as well as its applications to improve (patho)physiological understanding and clinical management of thyroid (dys)function. EVIDENCE SYNTHESIS: Genome-wide association studies (GWAS) have been successful in detecting numerous genetic variants affecting variation in thyrotropin (TSH), free thyroxine, and triiodothyronine concentrations. Subsequent emerging high-throughput in silico and in vitro strategies are of particular value in unraveling functionality of these novel genes and its genetic variants. Translational methods such as mendelian randomization (MR) and polygenic scores (PGSs) can provide important insights into causal associations or susceptibility to disease. Moreover, PGSs show potential in adjusting personalized TSH reference ranges by distinguishing between individual hypothalamic-pituitary-thyroid-axis set-point effects and (subclinical) thyroid dysfunction.

conclusionFunctional characterization of the associated genes and variants in GWAS is warranted as the majority are located in genes with a yet unknown role in thyroid hormone physiology. Integration of multi-omics data and optimalization of translational applications such as MR and PGS show potential to further unravel the underlying molecular mechanisms and pave the way for incorporation of genetics in personalized management of thyroid diseases.

Indexed as

Thyroid DiseasesThyroid GlandDisease ManagementGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisThyroid Function TestsThyrotropinThyrotropingeneticsgenome-wide association studymendelian randomizationpolygenic scorepredictionthyroid

Identifiers

PMID41252260
PMCPMC12712998

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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 OpenQuestion graph.