Evidence map›Paper›PMID 31263163›Full record

ArticleScientific reports2019

Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals.

Ching-Ti Liu, Jordi Merino, Denis Rybin, Daniel DiCorpo, Kelly S Benke, Jennifer L Bragg-Gresham, Mickaël Canouil, Tanguy Corre, Harald Grallert, Aaron Isaacs and 40 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Analysis of Glucocorticoid-Related Genes RevealJournal of the Endocrine Society · 2020
    Article
  5. 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

50 authors.

Ching-Ti LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, 02118, USA. ctliu@bu.edu.
Jordi MerinoCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8312-1438
Denis RybinDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, 02118, USA.
Daniel DiCorpoDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, 02118, USA.
Kelly S BenkeBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Jennifer L Bragg-GreshamKidney Epidemiology and Cost Center, Department of Internal Medicine - Nephrology, University of Michigan, Ann Arbor, MI, 48109, USA.
Mickaël CanouilCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France.ORCID http://orcid.org/0000-0002-3396-4549
Tanguy CorreInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Harald GrallertResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany.
Aaron IsaacsGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5037-4834
Zoltan KutalikInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-8285-7523
Jari LahtiHelsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-4310-5297
Letizia MarulloDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Carola MarziResearch Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany.
Laura J Rasmussen-TorvikDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Ghislain RocheleauCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France.
Rico RueediDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-6713-2214
Chiara ScapoliDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.ORCID http://orcid.org/0000-0003-4058-4787
Niek VerweijUniversity Medical Center Groningen, Department of Cardiology, University of Groningen, Groningen, The Netherlands.
Nicole VogelzangsMaastricht University, Department of Epidemiology, Cardiovascular Research Institute Maastricht (CARIM) & Maastricht Centre for Systems Biology (MaCSBio), Maastricht, The Netherlands.
Sara M WillemsGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Loïc YengoCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France.
Stephan J L BakkerUniversity of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, The Netherlands.
John BeilbyPathWest Laboratory Medicine of Western Australia, Nedlands WA, 6009, Australia.
Jennie HuiPathWest Laboratory Medicine of Western Australia, Nedlands WA, 6009, Australia.
Eero KajantieNational Institute for Health and Welfare, Helsinki, Finland.
Martina Müller-NurasyidInstitute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Wolfgang RathmannInstitute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany.
Beverley BalkauCESP Centre for Research in Epidemiology and Population Health, Villejuif, France.
Sven BergmannDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Johan G ErikssonNational Institute for Health and Welfare, Helsinki, Finland.
Jose C FlorezCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Philippe FroguelCNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France.ORCID http://orcid.org/0000-0003-2972-0784
Tamara HarrisNational Institute on Aging, Laboratory of Epidemiology and Population Sciences in Intramural Research Program, Baltimore, MD, USA.
Joseph HungBusselton Population Medical Research Foundation, Sir Charles Gairdner Hospital, Nedlands WA, Australia.
Alan L JamesBusselton Population Medical Research Foundation, Sir Charles Gairdner Hospital, Nedlands WA, Australia.
Maryam KavousiDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Iva MiljkovicDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Arthur W MuskBusselton Population Medical Research Foundation, Sir Charles Gairdner Hospital, Nedlands WA, Australia.
Lyle J PalmerSchool of Public Health, University of Adelaide, Adelaide, Australia.
Annette PetersGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Ronan RousselINSERM U1138 (équipe 2: Pathophysiology and Therapeutics of Vascular and Renal Diseases Related to Diabetes, Centre de Recherches des Cordeliers), Paris, France.
Pim van der HarstUniversity Medical Center Groningen, Department of Cardiology, University of Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0002-2713-686X
Cornelia M van DuijnGenetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Peter VollenweiderDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Inês BarrosoWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.ORCID http://orcid.org/0000-0001-5800-4520
Inga ProkopenkoDepartment of Medicine, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-1624-7457
Josée DupuisDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, MA, 02118, USA.
James B MeigsPrograms in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nabila Bouatia-NajiINSERM, UMR970 Paris Cardiovascular Research Center (PARCC), Paris, F-75015, France. nabila.bouatia-naji@inserm.fr.ORCID http://orcid.org/0000-0001-5424-2134

Funding

Bioinformatics Strategies for Genome-Wide Association StudiesR01LM010098 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H., WILLIAMS, SCOTT MATTHEW · 2009 to 2023
$5.1M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
NIDDK NIH HHS K24 DK080140NIDDK NIH HHS R01 DK078616NIDDK NIH HHS U01 DK078616NLM NIH HHS R01 LM010098
6 · The paper itself

Abstract

Type 2 diabetes (T2D) affects the health of millions of people worldwide. The identification of genetic determinants associated with changes in glycemia over time might illuminate biological features that precede the development of T2D. Here we conducted a genome-wide association study of longitudinal fasting glucose changes in up to 13,807 non-diabetic individuals of European descent from nine cohorts. Fasting glucose change over time was defined as the slope of the line defined by multiple fasting glucose measurements obtained over up to 14 years of observation. We tested for associations of genetic variants with inverse-normal transformed fasting glucose change over time adjusting for age at baseline, sex, and principal components of genetic variation. We found no genome-wide significant association (P < 5 × 10

Indexed as

Genome-Wide Association StudyBlood GlucoseDiabetes Mellitus, Type 2FemaleGenetic VariationGenotypeHumansLongitudinal StudiesMaleMiddle AgedPhenotypePolymorphism, Single NucleotideWhite PeopleBlood Glucose

Identifiers

PMID31263163
PMCPMC6602949

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Registered trials

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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.