Evidence map›Paper›PMID 31714576›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Classification of Type 2 Diabetes Genetic Variants and a Novel Genetic Risk Score Association With Insulin Clearance.

Mark O Goodarzi, Nicholette D Palmer, Jinrui Cui, Xiuqing Guo, Yii-Der I Chen, Kent D Taylor, Leslie J Raffel, Lynne E Wagenknecht, Thomas A Buchanan, Willa A Hsueh and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

11 authors at 6 institutions in 1 country.

Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, US.
Nicholette D PalmerDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, US.
Jinrui CuiDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, US.
Xiuqing GuoInstitute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, US.
Yii-Der I ChenInstitute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, US.
Kent D TaylorInstitute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, US.
Leslie J RaffelDivision of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, US.
Lynne E WagenknechtDivision of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, US.
Thomas A BuchananDepartment of Physiology and Biophysics and Department of Medicine, Keck School of Medicine of USC, Los Angeles, California, US.
Willa A HsuehDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Wexner Medical Center, The Ohio State University, Columbus, US.
Jerome I RotterDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, US.
UCLA Medical Center · USWake Forest University · USCedars-Sinai Medical Center · USKeck Hospital of USC · USThe Ohio State University Wexner Medical Center · USUniversity of California, Irvine · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
ZONA-FREE HAMSTER OVA ASSAY AS AN INDICATOR OF MALE FERTILITYM01RR000425 · NCRR · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI ANDERSON, GAIL V · 1985 to 2011
$74.2M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALAN R. SALTIEL · 2003 to 2026
$40.4M
Mapping Genes for Atherosclerosis and Insulin ResistanceR01HL088457 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2007 to 2010
$3.0M
Mapping the Genes for Hypertension &Insulin ResistanceR01HL067974 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2002 to 2006
$2.9M
Impact of the Adipose Tissue Microenvironment on AtherosclerosisR01HL135622 · NHLBI · OHIO STATE UNIVERSITY · PI HSUEH, WILLA A · 2018 to 2021
$2.1M
Insulin Clearance: Candidate and Positional Genetic DeterminantsR01DK079888 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI GOODARZI, MARK · 2008 to 2012
$1.7M
NCATS NIH HHS UL1 TR001881NCRR NIH HHS M01 RR000425NHLBI NIH HHS R01 HL067974NHLBI NIH HHS R01 HL088457NHLBI NIH HHS R01 HL135622NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK079888
6 · The paper itself

Abstract

contextGenome-wide association studies have identified more than 450 single nucleotide polymorphisms (SNPs) for type 2 diabetes (T2D).

objectiveTo facilitate use of these SNPs in future genetic risk score (GRS)-based analyses, we aimed to classify the SNPs based on physiology. We also sought to validate GRS associations with insulin-related traits in deeply phenotyped Mexican Americans. DESIGN, SETTING, AND

participantsA total of 457 T2D SNPs from the literature were assigned physiologic function based on association studies and cluster analyses. All SNPs (All-GRS), beta-cell (BC-GRS), insulin resistance (IR-GRS), lipodystrophy (Lipo-GRS), and body mass index plus lipids (B + L-GRS) were evaluated for association with diabetes and indices of insulin secretion (from oral glucose tolerance test), insulin sensitivity and insulin clearance (from euglycemic clamp), and adiposity and lipid markers in 1587 Mexican Americans.

resultsOf the 457 SNPs, 52 were classified as BC, 30 as IR, 12 as Lipo, 12 as B + L, whereas physiologic function of 351 was undefined. All-GRS was strongly associated with T2D. Among nondiabetic Mexican Americans, BC-GRS was associated with reduced insulinogenic index, IR-GRS was associated with reduced insulin sensitivity, and Lipo-GRS was associated with reduced adiposity. B + L-GRS was associated with increased insulin clearance. The latter did not replicate in an independent cohort wherein insulin clearance was assessed by a different method.

conclusionsSupporting their utility, BC-GRS, IR-GRS, and Lipo-GRS, based on SNPs discovered largely in Europeans, exhibited expected associations in Mexican Americans. The novel association of B + L-GRS with insulin clearance suggests that impaired ability to reduce insulin clearance in compensation for IR may play a role in the pathogenesis of T2D. Whether this applies to other ethnic groups remains to be determined.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideAdultBiomarkersBody Mass IndexDiabetes Mellitus, Type 2EthnicityFemaleFollow-Up StudiesGenotypeHumansInsulinInsulin ResistanceInsulin SecretionMaleBiomarkersInsulinbeta-celldiabetesgenetic risk scoreinsulin clearanceinsulin resistancelipodystrophy

Identifiers

PMID31714576
PMCPMC7059988
OpenAlexW2987437294

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.