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Record 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 on OpenAlexafffundabout
Amanda J. Berberich, Arati Mokashi, Adam D. McIntyre, John F. Robinson, Henian Cao, Jian Wang, Robert A. Hegele

Bibliographic record

VenueClinical Genetics · 2019
Typeletter
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsIzaak Walton Killam Health CentreDalhousie UniversityWestern University
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsProbandCopy-number variationMaturity onset diabetes of the youngDiabetes mellitusGenetic testingMedicineSanger sequencingGeneticsFamily historyExome sequencingDNA sequencingBioinformaticsType 2 diabetesInternal medicineMutationBiologyEndocrinologyGeneGenome

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.305
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2019
Admission routes3
Has abstractyes

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