Evidence map›Paper›PMID 26084686›Full record

ArticleEuropean heart journal2015

Genetics and genotype-phenotype correlations in Finnish patients with dilated cardiomyopathy.

Oyediran Akinrinade, Laura Ollila, Sanna Vattulainen, Jonna Tallila, Massimiliano Gentile, Pertteli Salmenperä, Hannele Koillinen, Maija Kaartinen, Markku S Nieminen, Samuel Myllykangas and 3 more

Abstract read
In one paragraph

Article in European heart journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
–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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Genotype-phenotype associations in dilated cardiomyopathy: meta-analysis on more than 8000 individuals.Clinical research in cardiology : official journal of the German Cardiac Society · 2017
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  16. Current RNA strategies in treating cardiovascular diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
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  18. Article
  19. Mechanisms of RBM20 Cardiomyopathy: Insights From Model Systems.Circulation. Genomic and precision medicine · 2024
    Review
  20. Article

17 more citing papers are in PubMed but not listed here.

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.

Oyediran AkinrinadeChildren's Hospital, Institute of Clinical Medicine, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland Institute of Biomedicine, University of Helsinki, Helsinki, Finland.
Laura OllilaHeart and Lung Center HUCH, University of Helsinki, Helsinki, Finland.
Sanna VattulainenChildren's Hospital, Institute of Clinical Medicine, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland.
Jonna TallilaBlueprint Genetics, Helsinki, Finland.
Massimiliano GentileBlueprint Genetics, Helsinki, Finland.
Pertteli SalmenperäBlueprint Genetics, Helsinki, Finland.
Hannele KoillinenDepartment of Genetics, University Hospital Helsinki, Helsinki, Finland.
Maija KaartinenHeart and Lung Center HUCH, University of Helsinki, Helsinki, Finland.
Markku S NieminenHeart and Lung Center HUCH, University of Helsinki, Helsinki, Finland.
Samuel MyllykangasInstitute of Biomedicine, University of Helsinki, Helsinki, Finland Blueprint Genetics, Helsinki, Finland.
Tero-Pekka AlastaloChildren's Hospital, Institute of Clinical Medicine, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland Blueprint Genetics, Helsinki, Finland.
Juha W KoskenvuoBlueprint Genetics, Helsinki, Finland Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland Department of Clinical Physiology and Nuclear Medicine, HUS Medical Imaging Center, Helsinki University Central Hospital and University of Helsinki, Helsinki 00290, Finland juha.koskenvuo@hus.fi.
Tiina HeliöHeart and Lung Center HUCH, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDespite our increased understanding of the genetic basis of dilated cardiomyopathy (DCM), the clinical utility and yield of clinically meaningful findings of comprehensive next-generation sequencing (NGS)-based genetic diagnostics in DCM has been poorly described. We utilized a high-quality oligonucleotide-selective sequencing (OS-Seq)-based targeted sequencing panel to investigate the genetic landscape of DCM in Finnish population and to evaluate the utility of OS-Seq technology as a novel comprehensive diagnostic tool. METHODS AND

resultsUsing OS-Seq, we targeted and sequenced the coding regions and splice junctions of 101 genes associated with cardiomyopathies in 145 unrelated Finnish patients with DCM. We developed effective bioinformatic variant filtering strategy and implemented strict variant classification scheme to reveal diagnostic yield and genotype-phenotype correlations. Implemented OS-Seq technology provided high coverage of the target region (median coverage 410× and 99.42% of the nucleotides were sequenced at least 15× read depth). Diagnostic yield was 35.2% (familial 47.6% and sporadic 25.6%, P = 0.004) when both pathogenic and likely pathogenic variants are considered as disease causing. Of these, 20 (53%) were titin (TTN) truncations (non-sense and frameshift) affecting all TTN transcripts. TTN truncations accounted for 20.6% and 14.6% of the familial and sporadic DCM cases, respectively.

conclusionPanel-based, high-quality NGS enables high diagnostic yield especially in the familial form of DCM, and bioinformatic variant filtering is a reliable step in the process of interpretation of genomic data in a clinical setting.

Indexed as

Cardiomyopathy, DilatedFemaleFinlandFollow-Up StudiesFrameshift MutationGenotypeHumansKaplan-Meier EstimateMaleMiddle AgedMutation, MissenseOligonucleotide Array Sequence AnalysisPedigreePhenotypeRecurrenceDiagnosisDilated cardiomyopathyGenetics

Identifiers

PMID26084686
PMCPMC4561350

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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.