Evidence map›Paper›PMID 37756531›Full record

SynthesisDiabetes care2023

Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk.

Deirdre K Tobias, Alisa K Manning, Jennifer Wessel, Sridharan Raghavan, Kenneth E Westerman, Alexander G Bick, Daniel Dicorpo, Eric A Whitsel, Jason Collins, Adolfo Correa and 23 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
17.4field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

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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

33 authors at 17 institutions in 1 country.

Deirdre K TobiasDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0003-0020-9552
Alisa K ManningBroad Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Jennifer WesselDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Department of Medicine, School of Medicine, and Diabetes Translational Research Center, Indiana University, Indianapolis, IN.
Sridharan RaghavanDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, and Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO.
Kenneth E WestermanBroad Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Alexander G BickDivision of Genetic Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.
Daniel DicorpoDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Eric A WhitselDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Jason CollinsDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Adolfo CorreaDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS.
L Adrienne CupplesDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Josée DupuisDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Xiuqing GuoInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
Barbara HowardMedStar Health Research Institute, Hyattsville, MD.
Leslie A LangeDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, and Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO.
Simin LiuCenter for Global Cardiometabolic Health, Brown University, Providence, RI.
Laura M RaffieldDepartment of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC.
Alex P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA.
Kent D TaylorDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA.
Lesley TinkerDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA.
James G WilsonDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Peitao WuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
April P CarsonDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS.
Ramachandran S VasanSection of Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA.
Myriam FornageBrown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
James MeigsDepartment of Medicine, Harvard Medical School, and Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
JoAnn E MansonDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
TOPMed Diabetes Working Group and National Heart, Lung, and Blood Institute TOPMed Consortium
Boston University · USBroad Institute · USFred Hutch Cancer Center · USUniversity of North Carolina at Chapel Hill · USBrigham and Women's Hospital · USHarbor–UCLA Medical Center · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Mississippi Medical Center · USUniversity of Washington · USBeth Israel Deaconess Medical Center · USBrown Foundation · USBrown University · USCedars-Sinai Medical Center · USIndiana University Indianapolis · USMedStar Health · USUniversity of Virginia · USVanderbilt University · US

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
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
WOMEN'S HEALTH INITIATIVE - CLINICAL COORDINATING CENTER: TASK AREA B - LONG LIFE STUDY VISIT 2 LIMITED HOME VISIT75N92021D00001 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L. · 2021 to 2025
$52.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
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
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
Proposal for the AMP T2D-GENES Data Coordination Center and Web PortalU01DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS · 2015 to 2019
$16.8M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
CSRD VA IK2 CX001907NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHGRI NIH HHS U54 HG003067NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS 75N92021D00001NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201100037CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201500014CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS T32 HL129982NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIDDK NIH HHS K01 DK133637NIDDK NIH HHS P30 DK063491NIDDK NIH HHS T32 HL129982NIDDK NIH HHS U01 DK078616NIDDK NIH HHS U01 DK105554NIDDK NIH HHS UM1 DK078616NIEHS NIH HHS HHSN268201600033CNIMHD NIH HHS HHSN268201800013IWHI NIH HHS 75N92021D00003WHI NIH HHS 75N92021D00004WHI NIH HHS 75N92021D00005
6 · The paper itself

Abstract

objectiveClonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D. RESEARCH DESIGN AND

methodsCHIP was derived from whole-genome sequencing of blood DNA in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) prospective cohorts. We performed analysis for 17,637 participants from six cohorts, without prior T2D, cardiovascular disease, or cancer. We evaluated baseline CHIP versus no CHIP prevalence with incident T2D, including associations with DNMT3A, TET2, ASXL1, JAK2, and TP53 variants. We estimated multivariable-adjusted hazard ratios (HRs) and 95% CIs with adjustment for age, sex, BMI, smoking, alcohol, education, self-reported race/ethnicity, and combined cohorts' estimates via fixed-effects meta-analysis.

resultsMean (SD) age was 63.4 (11.5) years, 76% were female, and CHIP prevalence was 6.0% (n = 1,055) at baseline. T2D was diagnosed in n = 2,467 over mean follow-up of 9.8 years. Participants with CHIP had 23% (CI 1.04, 1.45) higher risk of T2D than those with no CHIP. Specifically, higher risk was for TET2 (HR 1.48; CI 1.05, 2.08) and ASXL1 (HR 1.76; CI 1.03, 2.99) mutations; DNMT3A was nonsignificant (HR 1.15; CI 0.93, 1.43). Statistical power was limited for JAK2 and TP53 analyses.

conclusionsCHIP was associated with higher incidence of T2D. CHIP mutations located on genes implicated in CHD and mortality were also related to T2D, suggesting shared aging-related pathology.

Indexed as

Coronary DiseaseDiabetes Mellitus, Type 2Clonal EvolutionClonal HematopoiesisFemaleHematopoiesisHumansMaleMiddle AgedMutationProspective Studies

Identifiers

PMID37756531
PMCPMC10620536
OpenAlexW4387089734

What Socratic holds

Textmetadata
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 Socratic graph.