Evidence map›Paper›PMID 35583889›Full record

ArticleJAMA cardiology2022

Rare and Common Genetic Variation Underlying the Risk of Hypertrophic Cardiomyopathy in a National Biobank.

Kiran J Biddinger, Sean J Jurgens, Dimitri Maamari, Liam Gaziano, Seung Hoan Choi, Valerie N Morrill, Jennifer L Halford, Amit V Khera, Steven A Lubitz, Patrick T Ellinor and 1 more

Open access · greenAbstract read
In one paragraph

Article in JAMA cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
10.3field-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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  5. Biologics for cardiovascular diseases: from bench to bedside.Signal transduction and targeted therapy · 2026
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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 4 institutions in 2 countries.

Kiran J BiddingerProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Sean J JurgensProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Dimitri MaamariProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Liam GazianoProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Seung Hoan ChoiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Valerie N MorrillProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Jennifer L HalfordProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Amit V KheraProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Steven A LubitzProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Patrick T EllinorProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Krishna G AragamProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Harvard University · USBroad Institute · USAmsterdam University Medical Centers · NLPrinceton University · US

Funding

Center for Common Disease GeneticsUM1HG008895 · NHGRI · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH, GABRIEL, STACEY · 2016 to 2020
$111.2M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
AFGen Consortium: Atrial Fibrillation Genomics to Functional AnalysesR01HL128914 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2015 to 2018
$3.1M
Mentoring in Arrhythmia ResearchK24HL105780 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2011 to 2020
$1.2M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
Population Assessments of Aggregate Genetic Risk for DilatedýCardiomyopathyK08HL153937 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ARAGAM, KRISHNA G · 2021 to 2025
$846k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS K08 HG010155NHGRI NIH HHS UM1 HG008895NHLBI NIH HHS K08 HL153937NHLBI NIH HHS K24 HL105780NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL128914NHLBI NIH HHS R01 HL139731
6 · The paper itself

Abstract

Importance: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in young people. Although rare genetic variants are well-established contributors to HCM risk, common genetic variants have recently been implicated in disease pathogenesis. Objective: To assess the contributions of rare and common genetic variation to risk of HCM in the general population. Design, Setting, and Participants: This cohort study of the UK Biobank (data from 2006-2010) and the Mass General Brigham Biobank (2010-2019) assessed the relative and joint contributions of rare genetic variants and a common variant (polygenic) score to risk of HCM. Both rare and common variant predictors were then evaluated in the context of relevant clinical risk factors. Data analysis was conducted from May 2021 to February 2022. Exposures: Pathogenic rare variants, common-variant (polygenic) score, and clinical risk factors. Main Outcomes and Measures: Risk of HCM. Results: The primary study population comprised 184 511 individuals from the UK Biobank. Mean (SD) age was 56 (8) years, 83 690 (45%) of participants were men, and 204 (0.1%) participants had HCM. Of 51 genes included in clinical genetic testing panels for HCM, pathogenic or likely pathogenic variants in 14 core genes (designated by the American College of Medical Genetics and Genomics [ACMG]) were associated with 55-fold higher odds (95% CI, 35-83) of HCM, while those in the remaining 37 non-ACMG genes were not significantly associated with HCM (OR, 1.8; 95% CI, 0.6-4.0). ClinVar pathogenic or likely pathogenic mutations in MYBPC3 (OR, 72; 95% CI, 39-124) and MYH7 (OR, 61; 95% CI, 26-121) were strongly associated with HCM, as were loss-of-function variants in ALPK3 (OR, 13; 95% CI, 4.4-28). A polygenic score was strongly associated with HCM (OR per SD increase in score, 1.6; 95% CI, 1.4-1.8), with concordant results in the Mass General Brigham Biobank. Genetic factors enhanced clinical risk prediction for HCM: addition of rare variant carrier status and the polygenic score to clinical risk factors (obesity, hypertension, atrial fibrillation, and coronary artery disease) improved the area under the receiver operator characteristic curve from 0.71 (95% CI, 0.65-0.77) to 0.82 (95% CI, 0.77-0.87). Conclusions and Relevance: Both rare and common genetic variants contribute substantially to HCM susceptibility in the general population and improve HCM risk prediction beyond that achieved with clinical factors.

Indexed as

Biological Specimen BanksCardiomyopathy, HypertrophicAdolescentCohort StudiesDeath, Sudden, CardiacFemaleHumansMaleMiddle AgedMutation

Identifiers

PMID35583889
PMCPMC9118016
OpenAlexW4280514582

What OpenQuestion holds

Textmetadata
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.