Evidence map›Paper›PMID 34325839›Full record

ReviewJournal of the American College of Cardiology2021

Genetics of Type 2 Diabetes: Opportunities for Precision Medicine: JACC Focus Seminar.

Daniel Seung Kim, Anna L Gloyn, Joshua W Knowles

Open access · greenAbstract readReview
In one paragraph

Review in Journal of the American College of Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Genetic Predisposition to Prediabetes in the Kazakh Population.Current issues in molecular biology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. The genetics of human performance.Nature reviews. Genetics · 2022
    Review
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

3 authors at 3 institutions in 1 country.

Daniel Seung KimDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Anna L GloynDivision of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA; Stanford Diabetes Research Center, Stanford University, Stanford, California, USA.
Joshua W KnowlesDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA; Stanford Diabetes Research Center, Stanford University, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA. Electronic address: knowlej@stanford.edu.
Cardiovascular Institute of the South · USStanford Medicine · USStanford University · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Bridging the gap between type 2 diabetes GWAS and therapeutic targetsUM1DK126185 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CLAUSSNITZER, MELINA C, GLOYN, ANNA LOUISE · 2020 to 2024
$9.5M
Characterization 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
$3.2M
Identifying variants causal for Type 2 Diabetes in Major human populationsU01DK085545 · NIDDK · UNIVERSITY OF OXFORD · PI CHAN, JULIANA CN, EBRAHIM, SHAH BRIAN · 2009 to 2013
$2.8M
Mechanisms of NAT2 Regulation of Insulin Resistance and Mitochondrial DysfunctionR01DK116750 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2019 to 2023
$2.4M
Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Molecular Mechanisms of Insulin Resistance Associated LociR01DK107437 · NIDDK · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2016 to 2019
$2.2M
Integrating genome-scale data to reveal causal mechanisms in type 2 diabetesU01DK105535 · NIDDK · UNIVERSITY OF OXFORD · PI GLOYN, ANNA LOUISE · 2015 to 2019
$1.7M
Pharmacogenomics of serotonin-specific reuptake inhibitorsF31MH101905 · NIMH · UNIVERSITY OF WASHINGTON · PI KIM, DANIEL SEUNG · 2013 to 2014
$70k
NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236NIDDK NIH HHS R01 DK107437NIDDK NIH HHS R01 DK116750NIDDK NIH HHS R01 DK120565NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK105535NIDDK NIH HHS UM1 DK126185NIMH NIH HHS F31 MH101905Wellcome Trust 095101Wellcome Trust 200837Wellcome Trust 200837/Z/16/Z
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is highly prevalent and is a strong contributor for cardiovascular disease. However, there is significant heterogeneity in disease pathogenesis and the risk of complications. Enormous progress has been made in our ability to catalog genetic variation associated with T2D risk and variation in disease-relevant quantitative traits. These discoveries hold the potential to shed light on tractable targets and pathways for safe and effective therapeutic development, but the promise of precision medicine has been slow to be realized. Recent studies have identified subgroups of individuals with differential risk for intermediate phenotypes (eg, lipid levels, fasting insulin, body mass index) that contribute to T2D risk, helping to account for the observed clinical heterogeneity. These "partitioned genetic risk scores" not only have the potential to identify patients at greatest risk of cardiovascular disease and rapid disease progression, but also could aid patient stratification bridging the gap toward precision medicine for T2D.

Indexed as

Precision MedicineDiabetes Mellitus, Type 2Humansgeneticsprecision medicinetype 2 diabetes

Identifiers

PMID34325839
PMCPMC8328195
OpenAlexW3184192944

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.