ArticleJournal of the American College of Cardiology2026
Monogenic Testing and Polygenic Risk Scores: Who, When, and How It May Shape Future Guidelines.
Saaket Agrawal, Hannah Wand, Hannah Ison, Joshua W Knowles
Abstract read
In one paragraphArticle in Journal of the American College of Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
4 authors.
Saaket AgrawalCardiovascular Institute and Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Hannah WandCardiovascular Institute and Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Hannah IsonCardiovascular Institute and Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Joshua W KnowlesCardiovascular Institute and Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA. Electronic address: knowlej@stanford.edu.
Funding
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5MCharacterization of novel insulin resistance genes by gene editing, high-throughput phenotyping and in vivo studiesR01DK120565 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$3.2MMechanisms of NAT2 Regulation of Insulin Resistance and Mitochondrial DysfunctionR01DK116750 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$2.4MBeyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4MMolecular Mechanisms of Insulin Resistance Associated LociR01DK137889 · NIDDK · STANFORD UNIVERSITY · PI Joshua Wiley Knowles · 2024 to 2026
$1.8MSynergizing Common Fund Data from MoTrPAC and LINCS for the Discovery of Novel Exercise Mimetic DrugsR03OD038388 · OD · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2024 to 2024
$309kNIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236NIDDK NIH HHS R01 DK116750NIDDK NIH HHS R01 DK120565NIDDK NIH HHS R01 DK137889NIH HHS R03 OD038388
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
familial hypercholesterolemiageneticspolygenic risk score
Identifiers
PMID42153687
PMCPMC13674981
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