Evidence map›Paper›PMID 23071215›Full record

ArticlePediatrics2012

Genotype prediction of adult type 2 diabetes from adolescence in a multiracial population.

Jason L Vassy, Pronabesh Dasmahapatra, James B Meigs, Nicholas J Schork, Costan G Magnussen, Wei Chen, Olli T Raitakari, Michael J Pencina, Seema M Jamal, Gerald S Berenson and 1 more

2 registry-linked trialsAbstract read
In one paragraph

Article in Pediatrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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.

NCT00005129 active not recruitingnot on this map

The Bogalusa Heart Study

TypeobservationalSponsorTulane UniversityRan1973 to 2029Enrolled11,737ConditionsAtherosclerosis, Cardiovascular Diseases, Heart Diseases, Coronary Disease
NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Protein Glycosylation in Diabetes.Advances in experimental medicine and biology · 2021
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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

11 authors.

Jason L VassyGeneral Medicine Division, and jCenter for Child & Adolescent Health Research and Policy, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
Pronabesh Dasmahapatra
James B Meigs
Nicholas J Schork
Costan G Magnussen
Wei Chen
Olli T Raitakari
Michael J Pencina
Seema M Jamal
Gerald S Berenson
Elizabeth Goodman

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI ROSEN, EVAN D · 1992 to 2021
$25.0M
SCRIPPS TRANSLATIONAL SCIENCE INSTITUTE (UL1)UL1RR025774 · NCRR · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2008 to 2011
$16.3M
EVOLUTION OF CARDIOVASCULAR RISK WITH NORMAL AGINGR01AG016592 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2000 to 2015
$11.7M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Genetic Modulation on the Relationship of Low Birth Weight to Metabolic SyndromeR03HD061437 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2010 to 2011
$146k
Birth Weight, Postnatal Growth, Blood Pressure and Subclinical Cardiovascular DisR03HD062783 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2010 to 2011
$146k
NCRR NIH HHS UL1 RR025774NIA NIH HHS R01 AG016592NICHD NIH HHS R03 HD061437NICHD NIH HHS R03 HD062783NIDDK NIH HHS K24 DK080140NIDDK NIH HHS L30 DK089597NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK078616
6 · The paper itself

Abstract

backgroundUnderstanding the risk for type 2 diabetes (T2D) early in the life course is important for prevention. Whether genetic information improves prediction models for diabetes from adolescence into adulthood is unknown.

methodsWith the use of data from 1030 participants in the Bogalusa Heart Study aged 12 to 18 followed into middle adulthood, we built Cox models for incident T2D with risk factors assessed in adolescence (demographics, family history, physical examination, and routine biomarkers). Models with and without a 38 single-nucleotide polymorphism diabetes genotype score were compared by C statistics and continuous net reclassification improvement indices.

resultsParticipant mean (± SD) age at baseline was 14.4 ± 1.6 years, and 32% were black. Ninety (8.7%) participants developed T2D over a mean 26.9 ± 5.0 years of follow-up. Genotype score significantly predicted T2D in all models. Hazard ratios ranged from 1.09 per risk allele (95% confidence interval 1.03-1.15) in the basic demographic model to 1.06 (95% confidence interval 1.00-1.13) in the full model. The addition of genotype score did not improve the discrimination of the full clinical model (C statistic 0.756 without and 0.760 with genotype score). In the full model, genotype score had weak improvement in reclassification (net reclassification improvement index 0.261).

conclusionsAlthough a genotype score assessed among white and black adolescents is significantly associated with T2D in adulthood, it does not improve prediction over clinical risk factors. Genetic screening for T2D in its current state is not a useful addition to adolescents' clinical care.

Indexed as

Black or African AmericanWhite PeopleAdolescentDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGenotypeHumansMalePrognosis

Identifiers

PMID23071215
PMCPMC3483893

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.