Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
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
21 authors.
Bahar Sedaghati-KhayatDepartment of Internal Medicine Erasmus University Medical Center Rotterdam The Netherlands.ORCID 0000-0002-7665-8648
Henry J LinDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.ORCID 0000-0001-6771-0486
Jingyi TanDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.ORCID 0000-0003-4207-6516
Jie YaoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.ORCID 0000-0002-8822-0651
Tapati MazumdarSanford Health Imagenetics Sioux Falls SD.
Maxime BosDepartment of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands.
Katherine JuskiewiczDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.
Linda BroerDepartment of Internal Medicine Erasmus University Medical Center Rotterdam The Netherlands.ORCID 0000-0003-0011-123X
Kent D TaylorDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.ORCID 0000-0002-2756-4370
Xiaohui LiDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.
Joyce van MeursDepartment of Internal Medicine Erasmus University Medical Center Rotterdam The Netherlands.
M Arfan IkramDepartment of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands.ORCID 0000-0003-0372-8585
Shubhi BartariaSanford Health Imagenetics Sioux Falls SD.
Wendy S PostDivision of Cardiology, Department of Medicine Johns Hopkins University Baltimore MD.ORCID 0000-0002-8655-5204
Murat SincanSanford Health Imagenetics Sioux Falls SD.
André G UitterlindenDepartment of Internal Medicine Erasmus University Medical Center Rotterdam The Netherlands.ORCID 0000-0002-7276-3387
Xiuqing GuoDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.ORCID 0000-0002-5264-5068
Maryam KavousiDepartment of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands.ORCID 0000-0001-5976-6519
Jeroen van RooijDepartment of Internal Medicine Erasmus University Medical Center Rotterdam The Netherlands.ORCID 0000-0001-9754-073X
Jerome I RotterDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center Torrance CA.ORCID 0000-0001-7191-1723
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
backgroundGenetic risk scores may be useful for analyzing risks for coronary artery disease (CAD). However, comparisons between restricted and genome-wide scores have been underexplored, particularly for individuals at increased risk by one score but not the other. Here, we compared restricted polygenic risk scores with 181 high-confidence genetic variants (PRS
methodsData were from the RS (Rotterdam Study; n=11 001), MESA (Multi-Ethnic Study of Atherosclerosis; n=2685), and the Sanford Health study (n=25 166). We analyzed score associations with CAD (prevalent and incident), age at onset, and lipid medication use. Combined use of both scores was also examined.
resultsThere were robust associations with CAD per SD of the scores for men (PRS
conclusionsPRS
Indexed as
Coronary Artery DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideAgedAge of OnsetFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansIncidenceMaleMiddle AgedPhenotypePrevalenceRisk AssessmentRisk Factorsgenome‐wide scorerestricted scorerisk management
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.
Restricted Versus Genome-Wide Genetic Risk Scores for Coronary Artery Disease. · full record | OpenQuestion