Evidence map›Paper›PMID 36071330›Full record

ArticleJournal of endocrinological investigation2023

Stochastic epigenetic mutations as possible explanation for phenotypical discordance among twins with congenital hypothyroidism.

D Gentilini, M Muzza, T de Filippis, M C Vigone, G Weber, L Calzari, A Cassio, M Di Frenna, M Bartolucci, E S Grassi and 3 more

Open access · hybridAbstract readTwin Study
In one paragraph

Article in Journal of endocrinological investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Approach to the patient: genetics and management of congenital hypothyroidism.The Journal of clinical endocrinology and metabolism · 2026
    Article
  2. Review
  3. Article
  4. 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

13 authors at 6 institutions in 1 country.

D Gentilini *Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, 20095, Milan, Italy.
M Muzza *Laboratory of Endocrine and Metabolic Research, Department of Endocrine and Metabolic Diseases, Istituto Auxologico Italiano IRCCS, Piazzale Brescia 20, 20149, Milan, Italy.
T de FilippisLaboratory of Endocrine and Metabolic Research, Department of Endocrine and Metabolic Diseases, Istituto Auxologico Italiano IRCCS, Piazzale Brescia 20, 20149, Milan, Italy.
M C VigoneDepartment of Pediatrics, Endocrine Unit, IRCCS San Raffaele Hospital, Milan, Italy.
G WeberDepartment of Pediatrics, Endocrine Unit, IRCCS San Raffaele Hospital, Milan, Italy.
L CalzariBioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, 20095, Milan, Italy.
A CassioDepartment of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
M Di FrennaDepartment of Pediatrics, Endocrine Unit, IRCCS San Raffaele Hospital, Milan, Italy.
M BartolucciDepartment of Maternal and Child Sciences and Urology, University "La Sapienza", Rome, Italy.
E S GrassiDepartment of Medical Biotechnology and Experimental Medicine, University of Milan, 20122, Milan, Italy.
E CarboneLaboratory of Endocrine and Metabolic Research, Department of Endocrine and Metabolic Diseases, Istituto Auxologico Italiano IRCCS, Piazzale Brescia 20, 20149, Milan, Italy.
A OlivieriDepartment of Cardiovascular and Endocrine-Metabolic Diseases and Aging, Italian National Institute of Health, 00161, Rome, Italy.
L PersaniLaboratory of Endocrine and Metabolic Research, Department of Endocrine and Metabolic Diseases, Istituto Auxologico Italiano IRCCS, Piazzale Brescia 20, 20149, Milan, Italy. luca.persani@unimi.it.ORCID http://orcid.org/0000-0003-2068-9581
IRCCS Istituto Auxologico Italiano · ITVita-Salute San Raffaele University · ITUniversity of Milan · ITSapienza University of Rome · ITUniversity of Bologna · ITUniversity of Pavia · IT

Funding

Ministero della Salute RF-2010-2309484
6 · The paper itself

Abstract

purposeThe elevated frequency of discordance for congenital hypothyroidism (CH) phenotype between monozygotic twins suggests the involvement of non-mendelian mechanisms. The aim of the study was to investigate the role of epigenetics in CH pathogenesis.

methodsA genome-wide DNA methylation analysis was performed on the peripheral blood of 23 twin pairs (10 monozygotic and 13 dizygotic), 4 concordant and 19 discordant pairs for CH at birth.

resultsDifferential methylation analysis did not show significant differences in methylation levels between CH cases and controls, but a different methylation status of several genes may explain the CH discordance of a monozygotic twin couple carrying a monoallelic nonsense mutation of DUOX2. In addition, the median number of hypo-methylated Stochastic Epigenetic Mutations (SEMs) resulted significantly increased in cases compared to controls. The prioritization analysis for CH performed on the genes epimutated exclusively in the cases identified SLC26A4, FOXI1, NKX2-5 and TSHB as the genes with the highest score. The analysis of significantly SEMs-enriched regions led to the identification of two genes (FAM50B and MEG8) that resulted epigenetically dysregulated in cases.

conclusionEpigenetic modifications may potentially account for CH pathogenesis and explain discordance among monozygotic twins.

Indexed as

Congenital HypothyroidismEpigenesis, GeneticDNA MethylationHumansMutationPhenotypeTwins, MonozygoticCongenital diseasesGenome-wide DNA methylationPreterm deliveryThyroidThyroid dysgenesisTwin gestation

Identifiers

PMID36071330
PMCPMC9859866
OpenAlexW4294884797

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.