Evidence mapPaperPMID 31537879Full record

ArticleScientific reports2019

Marked variation in heritability estimates of left ventricular mass depending on modality of measurement.

Richard M Nethononda, Kathryn A McGurk, Polly Whitworth, Jane Francis, Chysovalanto Mamasoula, Heather J Cordell, Stefan Neubauer, Bernard D Keavney, Bongani M Mayosi, Martin Farrall and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 6 institutions in 2 countries.

Richard M NethonondaDivision of Cardiology, Chris Hani Baragwanath Hospital, Soweto and the University of Witwatersrand, Johannesburg, South Africa.
Kathryn A McGurkDivision of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Polly WhitworthDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Jane FrancisDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Chysovalanto MamasoulaInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Heather J CordellInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Stefan NeubauerDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Bernard D KeavneyDivision of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-9573-0812
Bongani M MayosiDepartment of Medicine, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0001-6641-8950
Martin FarrallDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-4564-2165
Hugh WatkinsDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK. hugh.watkins@rdm.ox.ac.uk.
Centre for Human Genetics · GBJohn Radcliffe Hospital · GBNewcastle University · GBUniversity of Manchester · GBChris Hani Baragwanath Hospital · ZAUniversity of Cape Town · ZA

Funding

British Heart Foundation CH/13/2/30154British Heart Foundation RE/13/1/30181British Heart Foundation RG/12/16/29939British Heart Foundation RG/15/12/31616British Heart Foundation (BHF) RE/13/1/30181Wellcome TrustWellcome Trust (Wellcome) 090532/Z/09/Z
6 · The paper itself

Abstract

Left ventricular (LV) hypertrophy is a strong risk factor for heart failure and cardiovascular death. ECG measures of LV mass are estimated as heritable in twin and family-based analyses and heritability estimates of LV mass measured by echocardiography are lower. We hypothesised that CMR-derived measurements, being more precise than echocardiographic measurements, would advance our understanding of heritable LV traits. We phenotyped 116 British families (427 individuals) by CMR and ECG, and undertook heritability analyses using variance-components (QTDT) and GWAS SNP-based (GCTA-GREML) methods. ECG-based traits such as LV mass and Sokolow-Lyon duration showed substantial estimates of heritability (60%), whereas CMR-derived LV mass was only modestly heritable (20%). However, the ECG LV mass was positively correlated with the lateral diameter of the chest (rho = 0.67), and adjustment for this attenuated the heritability estimate (42%). Finally, CMR-derived right ventricular mass showed considerable heritability (44%). Heritability estimates of LV phenotypes show substantial variation depending on the modality of measurement, being greater when measured by ECG than CMR. This may reflect the differences between electrophysiological as opposed to anatomical hypertrophy. However, ECG LV hypertrophy traits are likely to be influenced by genetic association with anthropometric measures, inflating their overall measured heritability.

Indexed as

AgedElectrocardiographyFamilyFemaleHumansHypertrophy, Left VentricularMagnetic Resonance Imaging, CineMaleMiddle AgedPhenotypeUnited Kingdom

Identifiers

PMID31537879
PMCPMC6753112
OpenAlexW2974706881

What Socratic 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 Socratic graph.