Evidence map›Paper›PMID 33106254›Full record

ArticleDiabetes2021

A Polygenic Score for Type 2 Diabetes Risk Is Associated With Both the Acute and Sustained Response to Sulfonylureas.

Josephine H Li, Lukasz Szczerbinski, Adem Y Dawed, Varinderpal Kaur, Jennifer N Todd, Ewan R Pearson, Jose C Florez

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

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  17. Article
  18. Personalized Type 2 Diabetes Management: An Update on Recent Advances and Recommendations.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Review
  19. Pharmacogenetics of Bronchodilator Response: Future Directions.Current allergy and asthma reports · 2021
    Review
  20. 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

7 authors at 3 institutions in 2 countries.

Josephine H LiCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.ORCID 0000-0003-2314-0914
Lukasz SzczerbinskiCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.ORCID 0000-0002-6201-0605
Adem Y DawedDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, Scotland, U.K.ORCID 0000-0003-0224-2428
Varinderpal KaurCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Jennifer N ToddCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Ewan R PearsonDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, Scotland, U.K.
Jose C FlorezCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA jcflorez@mgh.harvard.edu.ORCID 0000-0002-1730-9325
Broad Institute · USHarvard University · USNinewells Hospital · GB

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
ZD6416 Analgesic--Painful Distal Symmetrical PolyneuropaM01RR001066 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI GRINSPOON, STEVEN K. · 1985 to 2008
$37.4M
Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
Study to Understand the Genetics of the Acute Response to Metformin & GlipizideR01DK088214 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2010 to 2015
$3.7M
Pharmacogenetics of the acute response to sulfonylurea and metformin treatment inR03DK077675 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2007 to 2008
$173k
NCATS NIH HHS UL1 TR000170NCRR NIH HHS M01 RR001066NCRR NIH HHS UL1 RR025758NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK088214NIDDK NIH HHS R03 DK077675NIDDK NIH HHS T32 DK007028Wellcome Trust 102820/Z/13/Z
6 · The paper itself

Abstract

There is a limited understanding of how genetic loci associated with glycemic traits and type 2 diabetes (T2D) influence the response to antidiabetic medications. Polygenic scores provide increasing power to detect patterns of disease predisposition that might benefit from a targeted pharmacologic intervention. In the Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH), we constructed weighted polygenic scores using known genome-wide significant associations for T2D, fasting glucose, and fasting insulin, comprising 65, 43, and 13 single nucleotide polymorphisms, respectively. Multiple linear regression tested for associations between scores and glycemic traits as well as pharmacodynamic end points, adjusting for age, sex, race, and BMI. A higher T2D score was nominally associated with a shorter time to insulin peak, greater glucose area over the curve, shorter time to glucose trough, and steeper slope to glucose trough after glipizide. In replication, a higher T2D score was associated with a greater 1-year hemoglobin A

Indexed as

Genetic Predisposition to DiseaseBlood GlucoseDiabetes Mellitus, Type 2FemaleGenome-Wide Association StudyGenotypeGlycated HemoglobinHumansHypoglycemic AgentsMalePharmacogeneticsPolymorphism, Single NucleotideSulfonylurea CompoundsTreatment OutcomeBlood GlucoseGlycated HemoglobinHypoglycemic AgentsSulfonylurea Compounds

Identifiers

PMID33106254
PMCPMC7881853
OpenAlexW3094373713

What OpenQuestion 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 OpenQuestion graph.