Evidence map›Paper›PMID 22464770›Full record

ArticleJournal of cardiac failure2012

Genetic testing for dilated cardiomyopathy in clinical practice.

Neal K Lakdawala, Birgit H Funke, Samantha Baxter, Allison L Cirino, Amy E Roberts, Daniel P Judge, Nicole Johnson, Nancy J Mendelsohn, Chantal Morel, Melanie Care and 9 more

Abstract read
In one paragraph

Article in Journal of cardiac failure, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 2 syntheses or guidelines pooled it, 161 citations in OpenAlex.

  1. Genetic evaluation of cardiomyopathy: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG).Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Guideline
  2. 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
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Searching for genetic determinants for left ventricular non-compaction.Quantitative imaging in medicine and surgery · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Case report: cosegregation of a TPM1 in-frame deletion (p.Lys7del) with familial non-compaction cardiomyopathy (NCCM).Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

20 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

19 authors at 12 institutions in 3 countries.

Neal K LakdawalaCardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Birgit H Funke
Samantha Baxter
Allison L Cirino
Amy E Roberts
Daniel P Judge
Nicole Johnson
Nancy J Mendelsohn
Chantal Morel
Melanie Care
Wendy K Chung
Carolyn Jones
Apostolos Psychogios
Elizabeth Duffy
Heidi L Rehm
Emily White
J G Seidman
Christine E Seidman
Carolyn Y Ho
Harvard University · USBrigham and Women's Hospital · USMount Sinai Hospital · CAAmerican Heart Institute · CYBoston Children's Hospital · USChildren's Minnesota · USColumbia University Irving Medical Center · USHoward Hughes Medical Institute · USJohns Hopkins Medicine · USJohns Hopkins University · USLoyola University Medical Center · USMass General Brigham · US

Funding

Defining Pathways from Gene Mutation to Heart FailureR01HL080494 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI CHEN, CHRISTOPHER S, SEIDMAN, CHRISTINE E · 2005 to 2024
$9.4M
Howard Hughes Medical InstituteNHLBI NIH HHS R01 HL080494
6 · The paper itself

Abstract

backgroundFamilial involvement is common in dilated cardiomyopathy (DCM) and >40 genes have been implicated in causing disease. However, the role of genetic testing in clinical practice is not well defined. We examined the experience of clinical genetic testing in a diverse DCM population to characterize the prevalence and predictors of gene mutations. METHODS AND

resultsWe studied 264 unrelated adult and pediatric DCM index patients referred to 1 reference lab for clinical genetic testing. Up to 10 genes were analyzed (MYH7, TNNT2, TNNI3, TPM1, MYBPC3, ACTC, LMNA, PLN, TAZ, and LDB3), and 70% of patients were tested for all genes. The mean age was 26.6 ± 21.3 years, and 52% had a family history of DCM. Rigorous criteria were used to classify DNA variants as clinically relevant (mutations), variants of unknown clinical significance (VUS), or presumed benign. Mutations were found in 17.4% of patients, commonly involving MYH7, LMNA, or TNNT2 (78%). An additional 10.6% of patients had VUS. Genetic testing was rarely positive in older patients without a family history of DCM. Conversely in pediatric patients, family history did not increase the sensitivity of genetic testing.

conclusionsUsing rigorous criteria for classifying DNA variants, mutations were identified in 17% of a diverse group of DCM index patients referred for clinical genetic testing. The low sensitivity of genetic testing in DCM reflects limitations in both current methodology and knowledge of DCM-associated genes. However, if mutations are identified, genetic testing can help guide family management.

Indexed as

Genetic TestingAdolescentAdultCardiomyopathy, DilatedCarrier ProteinsChildChild, PreschoolDNA Mutational AnalysisFemaleGenetic Predisposition to DiseaseGenetic VariationHumansInfantMaleMedical History TakingMiddle AgedCarrier ProteinsMyosin Binding Protein C

Identifiers

PMID22464770
PMCPMC3666099
OpenAlexW2086554842

What OpenQuestion holds

Textmetadata
LicenceTDM
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.