Evidence map›Paper›PMID 31428720›Full record

ArticleJournal of the Endocrine Society2019

A Polygenic Lipodystrophy Genetic Risk Score Characterizes Risk Independent of BMI in the Diabetes Prevention Program.

Shylaja Srinivasan, Kathleen A Jablonski, William C Knowler, Samuel Dagogo-Jack, Steven E Kahn, Edward J Boyko, George A Bray, Edward S Horton, Marie-France Hivert, Ronald Goldberg and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Genetic susceptibility, obesity and lifetime risk of type 2 diabetes: The ARIC study and Rotterdam Study.Diabetic medicine : a journal of the British Diabetic Association · 2021
    Article
  7. Review
  8. 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

15 authors at 11 institutions in 1 country.

Shylaja SrinivasanDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, University of California at San Francisco, San Francisco, California.
Kathleen A JablonskiDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC.
William C KnowlerDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona.
Samuel Dagogo-JackDivision of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, Tennessee.
Steven E KahnDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, Washington.
Edward J BoykoDivision of General Internal Medicine, University of Washington, Seattle, Washington.
George A BrayDivision of Clinical Obesity and Metabolism, Pennington Biomedical Research Center, Baton Rouge, Louisiana.
Edward S HortonJoslin Diabetes Center, Boston, Massachusetts.
Marie-France HivertDiabetes Research Center, Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts.
Ronald GoldbergDiabetes Research Institute, University of Miami Health System, Miami, Florida.
Ling ChenCenter for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Josep MercaderCenter for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Maegan HardenPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard & Massachusetts Institute of Technology, Cambridge, Massachusetts.
Jose C FlorezDiabetes Research Center, Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts.
Diabetes Prevention Program Research Group
Massachusetts General Hospital · USMassachusetts Institute of Technology · USUniversity of Washington · USGeorge Washington University · USHarvard University · USJoslin Diabetes Center · USNational Institute of Diabetes and Digestive and Kidney Diseases · USPennington Biomedical Research Center · USUniversity of California, San Francisco · USUniversity of Miami Health System · USUniversity of Tennessee Health Science Center · US

Funding

PRIMARY PREVENTION TRIAL--DATA COORDINATING CENTERU01DK048489 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI JABLONSKI, KATHLEEN ANN, TEMPROSA, MARINELLA · 1994 to 2021
$84.8M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1986 to 2026
$41.4M
TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
Post-DDP Follow-up StudyU01DK048413 · NIDDK · UNIVERSITY OF WASHINGTON · PI KAHN, STEVEN EMANUEL · 1994 to 2021
$13.7M
PRIMARY PREVENTION TRIAL (DPT-2)U01DK048397 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI NATHAN, DAVID M · 1994 to 2021
$12.0M
TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
NIDDM PRIMARY PREVENTION TRIAL (DPT 2)U01DK048404 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI LAFERRERE, BLANDINE B · 1994 to 2021
$11.6M
PRIMARY PREVENTION TRIAL (DPT-2)U01DK048339 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARANETA, MARIA ROSARIO GORREZ, MUDALIAR, SUNDER · 1994 to 2022
$11.4M
NIDDM PRIMARY PREVENTION TRIALU01DK048412 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VENDITTI, ELIZABETH MARY · 1994 to 2021
$11.4M
TITLE OMITTEDU01DK048349 · NIDDK · YESHIVA UNIVERSITY · PI CRANDALL, JILL P · 1994 to 2021
$11.0M
PRIMARY PREVENTION TRIALU01DK048443 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WATSON, KAROL E · 1994 to 2021
$10.2M
Post-DPP Follow-up StudyU01DK048375 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 1994 to 2022
$10.0M
NCRR NIH HHS M01 RR016587NIDDK NIH HHS K24 DK110550NIDDK NIH HHS P30 DK017047NIDDK NIH HHS R01 DK072041NIDDK NIH HHS R01 DK078907NIDDK NIH HHS T32 DK007028NIDDK NIH HHS U01 DK048339NIDDK NIH HHS U01 DK048349NIDDK NIH HHS U01 DK048375NIDDK NIH HHS U01 DK048377NIDDK NIH HHS U01 DK048381NIDDK NIH HHS U01 DK048397NIDDK NIH HHS U01 DK048400NIDDK NIH HHS U01 DK048404NIDDK NIH HHS U01 DK048406NIDDK NIH HHS U01 DK048407NIDDK NIH HHS U01 DK048412NIDDK NIH HHS U01 DK048413NIDDK NIH HHS U01 DK048434NIDDK NIH HHS U01 DK048437NIDDK NIH HHS U01 DK048443NIDDK NIH HHS U01 DK048468NIDDK NIH HHS U01 DK048485NIDDK NIH HHS U01 DK048489NIDDK NIH HHS U01 DK048514NIGMS NIH HHS T32 GM007748
6 · The paper itself

Abstract

contextThere is substantial heterogeneity in insulin sensitivity, and genetics may suggest possible mechanisms by which common variants influence this trait.

objectivesWe aimed to evaluate an 11-variant polygenic lipodystrophy genetic risk score (GRS) for association with anthropometric, glycemic and metabolic traits in the Diabetes Prevention Program (DPP). In secondary analyses, we tested the association of the GRS with cardiovascular risk factors in the DPP.

designIn 2713 DPP participants, we evaluated a validated GRS of 11 common variants associated with fasting insulin-based measures of insulin sensitivity discovered through genome-wide association studies that cluster with a metabolic profile of lipodystrophy, conferring high metabolic risk despite low body mass index (BMI).

resultsAt baseline, a higher polygenic lipodystrophy GRS was associated with lower weight, BMI, and waist circumference measurements, but with worse insulin sensitivity index (ISI) values. Despite starting at a lower weight and BMI, a higher GRS was associated with less weight and BMI reduction at one year and less improvement in ISI after adjusting for baseline values but was not associated with diabetes incidence. A higher GRS was also associated with more atherogenic low-density lipoprotein peak-particle-density at baseline but was not associated with coronary artery calcium scores in the Diabetes Prevention Program Outcomes Study.

conclusionsIn the DPP, a higher polygenic lipodystrophy GRS for insulin resistance with lower BMI was associated with diminished improvement in insulin sensitivity and potential higher cardiovascular disease risk. This GRS helps characterize insulin resistance in a cohort of individuals at high risk for diabetes, independent of adiposity.

Indexed as

insulin resistancelifestyle interventionmetforminobesitytype 2 diabetes

Identifiers

PMID31428720
PMCPMC6694040
OpenAlexW2955613009

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.