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Enregistrement W2961051363 · doi:10.1111/cge.13599

Bioinformatic detection of copy number variation in <i>HNF4A</i> causing maturity onset diabetes of the young

2019· letter· en· W2961051363 sur OpenAlexafffundabout
Amanda J. Berberich, Arati Mokashi, Adam D. McIntyre, John F. Robinson, Henian Cao, Jian Wang, Robert A. Hegele

Notice bibliographique

RevueClinical Genetics · 2019
Typeletter
Langueen
DomaineMedicine
ThématiquePancreatic function and diabetes
Établissements canadiensIzaak Walton Killam Health CentreDalhousie UniversityWestern University
Organismes subventionnairesCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
Mots-clésProbandCopy-number variationMaturity onset diabetes of the youngDiabetes mellitusGenetic testingMedicineSanger sequencingGeneticsFamily historyExome sequencingDNA sequencingBioinformaticsType 2 diabetesInternal medicineMutationBiologyEndocrinologyGeneGenome

Résumé

récupéré en direct d'OpenAlex

To the Editor: Maturity onset diabetes of the young (MODY)1, 2 is currently under-recognized clinically,3 and may also be under-recognized by molecular genetic analysis.1 Genetic testing for MODY is presently accomplished primarily using next generation sequencing (NGS) techniques.1, 2, 4 However, these techniques are historically unable to detect copy number variations (CNVs), defined as large-scale deletions or duplications in genomic DNA. We report here on a large-scale heterozygous CNV in HNF4A causing MODY in an individual who initially tested negative for mutations by DNA sequencing alone. The proband carrying this mutation was a Caucasian female, diagnosed with diabetes at age 16. She has a normal body mass index with negative diabetes-associated autoantibodies and a significant family history of diabetes. She was managed effectively with a sulphonylurea for several years, with improvement in HbA1c from 7.5% to 5.6% compared to multiple daily injections of insulin. Sulphonylurea therapy eventually became ineffective and insulin was re-initiated. The proband provided informed consent and DNA was obtained from whole blood in 2005 under a protocol approved by the University of Western Ontario Ethics Review Board (#07920E). LipidSeq,5 a targeted NGS and bioinformatics platform, was used to assess for pathologic mutations in known MODY-associated genes, and none were detected. Her original NGS output data was recently re-analyzed 13 years after the original testing was completed using the VS-CNV caller function in VarSeq v1.4.3 (Golden Helix, Bozeman, Montana), a technique that takes advantage of depth-of-coverage (DOC) information provided from raw NGS data to predict the presence of CNVs. A whole-gene deletion of HNF4A (MODY1) was detected (Figure 1B). The CNV average ratio for this deletion was 0.531123 with a Z-score of −6.6691 (significance threshold −5) for the targeted NGS data and an average ratio of 0.577031 with a Z-score of −2.94078 (significance threshold −2) and a P-value of <1 × 10−30 for confirmatory whole exome sequencing (WES). This deletion has not been previously reported and would be expected to be causal for MODY. The detected CNV was further confirmed using CytoScan array (Affymetrix Santa Clara, California), a clinically validated tool to detect CNVs, which similarly demonstrated a large-scale deletion spanning this region (Figure 1A). The breakpoint was established using polymerase chain reaction (PCR)-based probe analysis and Sanger sequencing using primers designed to target either side of the suspected breakpoint. This confirmed the presence of a heterozygous 242 258 bp deletion spanning chr20:42871409-43 113 666 (Figures 1C-E). A diagnosis of MODY1, seen here, leads to a mild-moderately severe, progressive form of diabetes.3 As demonstrated by the proband, MODY1 may be optimally treated with low-dose oral sulfonylurea therapy for many years, although insulin therapy may eventually be required.4 Our findings suggest that incorporating CNV analysis routinely during genetic testing for MODY may improve diagnostic yield and may also help establish the true prevalence of CNVs as a cause of MODY. A.J.B. (guarantor) is supported through the Dr. Fernand Labrie Fellowship Research Grant from the Canadian Society for Endocrinology and Metabolism. R.A.H. is supported by the Jacob J. Wolfe Distinguished Medical Research Chair, the Edith Schulich Vinet Research Chair in Human Genetics, and the Martha G. Blackburn Chair in Cardiovascular Research. R.A.H. has also received operating grants from the Canadian Institutes of Health Research (Foundation award) and the Heart and Stroke Foundation of Ontario (G-18-0022147). There is no associated shared data.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,080
Score d'incertitude au seuil0,681

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,028
Tête enseignante GPT0,305
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2019
Routes d'admission3
Résumé présentoui

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