Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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
17 authors.
Shinwan KanyCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Joel T RämöCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6429-5149
Cody HouCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Sean J JurgensCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-1605-9782
Shaan KhurshidCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Victor NauffalCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-7199-299X
Jonathan W CunninghamCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Emily S LauCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Satoshi KoyamaCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-9286-0360
FinnGen
Jennifer E HoCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-7987-4768
Jeffrey E OlginDivision of Cardiology, University of California, San Francisco, San Francisco, CA, USA.
Sammy ElmariahDivision of Cardiology, University of California, San Francisco, San Francisco, CA, USA.
Aarno PalotieInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Mark E LindsayCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6724-7938
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2067-0533
James P PirruccelloCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA. james.pirruccello@ucsf.edu.ORCID 0000-0001-6088-4037
Funding
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
Multi-Omic Markers of Cardiac Function and Structure within the Pressure Overloaded HeartR01HL151838 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ELMARIAH, SAMMY · 2020 to 2024
$3.6M
Endothelial Cell Health Across the Spectrum of Cardiometabolic DiseaseR01HL168889 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Naomi Miriam Hamburg, Jennifer E Ho · 2023 to 2026
$3.1M
Long-Term Endothelial Effects of COVID-19 in ObesityR01HL160003 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HAMBURG, NAOMI MIRIAM, HO, JENNIFER E · 2022 to 2025
$2.8M
Menopause-related Vasomotor Symptoms and Cardiovascular HealthR01HL180648 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Emily Lau · 2025 to 2026
$1.5M
Deep learning to link normal variation in aortic valve hemodynamics to pathogenesis of aortic stenosisR01HL178603 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Pirruccello · 2025 to 2026
$1.4M
Mentoring in Arrhythmia ResearchK24HL105780 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2011 to 2020
$1.2M
HFpEF Susceptibility in Women: The Role of InflammationK23HL159243 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Emily Lau · 2022 to 2026
$1.1M
Electrocardiogram-based deep learning and decision analysis to improve atrial fibrillation risk estimationK23HL169839 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Shaan Khurshid · 2023 to 2026
$860k
Deep learning to enable the genetic analysis of aortaK08HL159346 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PIRRUCCELLO, JAMES · 2021 to 2025
$827k
Mentoring in Patient-Oriented and Translational HFpEF ResearchK24HL153669 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Jennifer E Ho · 2020 to 2026
$744k
NHLBI NIH HHS K08 HL159346NHLBI NIH HHS K23 HL159243NHLBI NIH HHS K23 HL169839NHLBI NIH HHS K24 HL105780NHLBI NIH HHS K24 HL153669NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL151838NHLBI NIH HHS R01 HL160003NHLBI NIH HHS R01 HL168889NHLBI NIH HHS R01 HL178603NHLBI NIH HHS R01 HL180648U.S. Department of Health & Human Services | National Institutes of Health (NIH) K08HL159346
6 · The paper itself
Abstract
The genetic influences on normal aortic valve function and their impact on aortic stenosis risk are of substantial interest. We used deep learning to measure peak velocity, mean gradient and aortic valve area from magnetic resonance imaging and conducted genome-wide association studies (GWAS) in 59,571 participants in the UK Biobank. Incorporating the aortic valve measurement GWAS with aortic stenosis GWAS using multitrait analysis of GWAS (MTAG), we identified 166 distinct loci (134 with aortic valve traits, 134 with aortic stenosis and 166 unique loci across all GWAS), including PCSK9 and LDLR. The MTAG aortic stenosis PGS was associated with aortic stenosis in All of Us (hazard ratio (HR) = 3.32 for top 5% versus all others, P = 8.8 × 10
Indexed as
Aortic ValveAortic Valve StenosisGenetic Predisposition to DiseaseGenetic VariationAgedFemaleGenome-Wide Association StudyHumansLipoprotein(a)Magnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideProprotein Convertase 9Receptors, LDLLDLR protein, humanLipoprotein(a)PCSK9 protein, humanProprotein Convertase 9Receptors, LDL
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.
Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk. · full record | OpenQuestion