Evidence map›Paper›PMID 31104941›Full record

ArticleJournal of cardiovascular computed tomography

Using a genetic risk score to calculate the optimal age for an individual to undergo coronary artery calcium screening.

Lauren M Severance, Francisco J Contijoch, Hannah Carter, Chun C Fan, Tyler M Seibert, Anders M Dale, Elliot R McVeigh

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Genetic Risk Score for Coronary Heart Disease: Review.Journal of personalized medicine · 2020
    Review
  12. Review
  13. Review
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Lauren M SeveranceDepartment of Bioengineering, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA.
Francisco J ContijochDepartment of Bioengineering, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Department of Radiology, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA.
Hannah CarterDepartment of Medicine, Medical Genetics Division, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA.
Chun C FanHealthlytix, 4747 Executive Dr. Suite 820, San Diego, CA, 92121, USA.
Tyler M SeibertDepartment of Radiation Medicine and Applied Science, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA.
Anders M DaleDepartment of Radiology, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Department of Cognitive Science, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Department of Neurosciences, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA.
Elliot R McVeighDepartment of Bioengineering, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Department of Radiology, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Department of Medicine, Cardiovascular Division, UC San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA. Electronic address: emcveigh@ucsd.edu.
University of California San Diego · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
Multi-Ethnic Study of Atherosclerosis (MESA) StudyR01HL071205 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2003 to 2007
$10.4M
Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
MESA Family StudyR01HL071250 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIU, KIANG JOHN · 2003 to 2007
$991k
MESA Family StudyR01HL071258 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BURKE, GREGORY L · 2003 to 2007
$918k
MESA Family StudyR01HL071259 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2003 to 2007
$878k
MESA Family StudyR01HL071051 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2003 to 2007
$875k
NCATS NIH HHS UL1 TR000124NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1 RR033176NHLBI NIH HHS K01 HL143113NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL071051NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01 HL071250NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01 HL071259NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444NHLBI NIH HHS T32 HL105373
6 · The paper itself

Abstract

backgroundGenetic risk scores (GRSs) have been associated with CHD events and coronary artery calcium (CAC). We sought to evaluate the ability of a GRS to improve CAC as a screening test.

methodsUsing the results of the most recent genome-wide association studies, we calculated a GRS in 6660 individuals from the Multi-Ethnic Study of Atherosclerosis and used it to determine the optimal age for an individual to undergo CAC screening.

resultsThis 157-SNP GRS was predictive of non-zero CAC in individuals aged 44-54 and improved the positive yield of CAC as a screening test in this age group. The GRS was predictive of CAC in the entire multi-ethnic cohort and in each self-identified ethnic group (European American, Chinese American, African American, and Hispanic American) assessed individually. Given a specified target yield rate of non-zero CAC, an equation was derived to calculate an individual's optimal age to undergo CAC screening. In addition, a "direct-to-consumer" GRS consisting of only risk SNPs or their proxies that are directly genotyped on the 23andMe v5 chip (102-SNP GRS) was assessed in the European American population and was predictive of non-zero CAC in younger individuals.

conclusionA GRS is associated with non-zero CAC in a multi-ethnic cohort and can be used to calculate the age of a person's first calcium scan, given a target threshold for CAC discovery. Furthermore, an inexpensive and widely available "direct-to-consumer" GRS was found to be a viable option to calculate the optimal age for CAC screening.

Indexed as

Coronary AngiographyGenetic TestingPolymorphism, Single NucleotideAdultAgedAged, 80 and overAge FactorsClinical Decision-MakingCoronary Artery DiseaseFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypePredictive Value of TestsCACCoronary artery calciumCoronary heart diseaseGenetic risk scoreGeneticsScreening

Identifiers

PMID31104941
PMCPMC6801022
OpenAlexW2944338411

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.