Evidence map›Paper›PMID 36147540›Full record

ArticleJACC. Advances2022

Clinical Implementation of Combined Monogenic and Polygenic Risk Disclosure for Coronary Artery Disease.

Dimitri J Maamari, Deanna G Brockman, Krishna Aragam, Renée C Pelletier, Emma Folkerts, Cynthia L Neben, Sydney Okumura, Leland E Hull, Anthony A Philippakis, Pradeep Natarajan and 5 more

Open access · diamondAbstract read
In one paragraph

Article in JACC. Advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

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  12. Polygenic Risk Scores in Human Disease.Clinical chemistry · 2025
    Review
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  15. Development of a comprehensive cardiovascular disease genetic risk assessment test.medRxiv : the preprint server for health sciences · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Dimitri J MaamariCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Deanna G BrockmanCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Krishna AragamCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Renée C PelletierCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Emma FolkertsCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Cynthia L NebenColor Health, Burlingame, California, USA.
Sydney OkumuraColor Health, Burlingame, California, USA.
Leland E HullDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Anthony A PhilippakisCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Pradeep NatarajanCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Kenney NgCenter for Computational Health, IBM Research, Cambridge, Massachusetts, USA.
Alicia Y ZhouColor Health, Burlingame, California, USA.
Amit V KheraCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Akl C FahedCenter for Genomic Medicine, Department of Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Broad Institute · USComputational Physics (United States) · USHarvard University · USMassachusetts General Hospital · US

Funding

Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
Integrating genomic and nongenomic risk for coronary artery diseaseK08HL161448 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Akl C Fahed · 2022 to 2026
$751k
NHGRI NIH HHS K08 HG010155NHGRI NIH HHS U01 HG011719NHLBI NIH HHS K08 HL161448
6 · The paper itself

Abstract

backgroundState-of-the-art genetic risk interpretation for a common complex disease such as coronary artery disease (CAD) requires assessment for both monogenic variants-such as those related to familial hypercholesterolemia-as well as the cumulative impact of many common variants, as quantified by a polygenic score.

objectivesThe objective of the study was to describe a combined monogenic and polygenic CAD risk assessment program and examine its impact on patient understanding and changes to clinical management.

methodsStudy participants attended an initial visit in a preventive genomics clinic and a disclosure visit to discuss results and recommendations, primarily via telemedicine. Digital postdisclosure surveys and chart review evaluated the impact of disclosure.

resultsThere were 60 participants (mean age 51 years, 37% women, 72% with no known CAD), including 30 (50%) referred by their cardiologists and 30 (50%) self-referred. Two (3%) participants had a monogenic variant pathogenic for familial hypercholesterolemia, and 19 (32%) had a high polygenic score in the top quintile of the population distribution. In a postdisclosure survey, both the genetic test report (in 80% of participants) and the discussion with the clinician (in 89% of participants) were ranked as very or extremely helpful in understanding the result. Of the 42 participants without CAD, 17 or 40% had a change in management, including statin initiation, statin intensification, or coronary imaging.

conclusionsCombined monogenic and polygenic assessments for CAD risk provided by preventive genomics clinics are beneficial for patients and result in changes in management in a significant portion of patients.

Indexed as

coronary artery diseasegeneticsgenomic medicinepolygenic scoreprecision medicinepreventive cardiology

Identifiers

PMID36147540
PMCPMC9491373
OpenAlexW4292018391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.