Article in Journal of the American Heart Association, 2024. 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.
3 · Its place in the literature
Who cites it
1 citing paper in PubMed.
Biomolecules · 2025
Article
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
10 authors.
Kent D TaylorInstitute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation Torrance CA.ORCID 0000-0002-2756-4370
Alexis C WoodUnited States Department of Agriculture/Agricultural Research Service (USDA/ARS) Children's Nutrition Research Center Baylor College of Medicine Houston TX.ORCID 0000-0001-7616-2119
Jerome I RotterInstitute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation Torrance CA.ORCID 0000-0001-7191-1723
Xiuqing GuoInstitute for Translational Genomics and Population Sciences The Lundquist Institute for Biomedical Innovation Torrance CA.ORCID 0000-0002-5264-5068
David M HerringtonDepartment of Internal Medicine Wake Forest University Winston-Salem NC.ORCID 0000-0002-7670-6400
W Craig JohnsonDepartment of Biostatistics, School of Public Health University of Washington Seattle WA.ORCID 0000-0002-3161-3753
Wendy S PostDivision of Cardiology, Department of Medicine Johns Hopkins University Baltimore MD.ORCID 0000-0002-8655-5204
Russell P TracyDepartment of Pathology and Laboratory Medicine and Biochemistry Larner College of Medicine at the University of Vermont Colchester VT.ORCID 0000-0002-0080-2420
Stephen S RichCenter for Public Health Genomics University of Virginia Charlottesville VA.ORCID 0000-0003-3872-7793
Shaista MalikDivision of Cardiology, Department of Medicine University of California Irvine Irvine CA.
Funding
Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
NHLBI Data Stage Coordinating CenterOT3HL147154 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ashok Kumar Krishnamurthy · 2018 to 2026
$98.9M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142481 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI GROSSMAN, ROBERT L., PATEN, BENEDICT · 2017 to 2020
$24.9M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142478 · NHLBI · SEVEN BRIDGES GENOMICS, INC. · PI DAVIS-DUSENBERY, BRANDI NICOLE · 2017 to 2022
$12.6M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142480 · NHLBI · HARVARD MEDICAL SCHOOL · PI AVILLACH, PAUL · 2017 to 2022
$8.8M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142479 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KRISHNAMURTHY, ASHOK KUMAR · 2017 to 2020
$6.1M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
backgroundInflammation is a feature of coronary heart disease (CHD), but the role of proinflammatory microbial infection in CHD remains understudied. METHODS AND
resultsCHD was defined in the MESA (Multi-Ethnic Study of Atherosclerosis) as myocardial infarction (251 participants), resuscitated arrest (2 participants), and CHD death (80 participants). We analyzed sequencing reads from 4421 MESA participants in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program using the PathSeq workflow of the Genome Analysis Tool Kit and a 65-gigabase microbial reference. Paired reads aligning to 840 microbes were detected in >1% of participants. The association of the presence of microbe reads with incident CHD (follow-up, ~18 years) was examined. First, important variables were ascertained using a single regularized Cox proportional hazard model, examining change of risk as a function of presence of microbe with age, sex, education level, Life's Simple 7, and inflammation. For variables of importance, the hazard ratio (HR) was estimated in separate (unregularized) Cox proportional hazard models including the same covariates (significance threshold Bonferroni corrected
conclusionsMetagenomics of whole-genome sequence reads opens a possible frontier for detection of pathogens for chronic diseases. The association of
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 Socratic graph.
Metagenomic Study of the MESA: Detection of · full record | Socratic