Evidence map›Paper›PMID 26884474›Full record

ArticleDiabetes care2016

Type 2 Diabetes Genetic Predisposition, Obesity, and All-Cause Mortality Risk in the U.S.: A Multiethnic Analysis.

Aaron Leong, Bianca Porneala, Josée Dupuis, Jose C Florez, James B Meigs

Registry-linked trialAbstract read
In one paragraph

Article in Diabetes care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03875625 (Change of Adipose Tissues and Triglyceride in Obese Patients With Non-alcoholic Fatty Liver Disease After Bariatric Surgery or Life-style Intervention), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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.

NCT03875625 narecruitingnot on this mapstarted 2019, after this paper: background citation

Change of Adipose Tissues and Triglyceride in Obese Patients With Non-alcoholic Fatty Liver Disease After Bariatric Surgery or Life-style Intervention

TypeinterventionalSponsorChinese University of Hong KongRan2019 to 2026Enrolled80ConditionsNon-Alcoholic Fatty Liver Disease, Obesity, Morbid, Brown Fat, Metabolic DiseaseArmsBariatric surgery, Dietitian led life style modification intervention, Conventional care (control)
3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Review
  2. Antidiabetic and Anti-Inflammatory Effect ofPharmaceuticals (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Asian biomedicine : research, reviews and news · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Circulating miR-15a and miR-222 as Potential Biomarkers of Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  15. Article
  16. Review
  17. Observational
  18. Article
  19. Article
  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

5 authors.

Aaron LeongDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA Harvard Medical School, Boston, MA.
Bianca PornealaDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
Josée DupuisDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Jose C FlorezHarvard Medical School, Boston, MA Center for Human Genetic Research and Diabetes Unit, Massachusetts General Hospital, Boston, MA Program in Medical and Population Genetics, Broad Institute, Cambridge, MA.
James B MeigsDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA Harvard Medical School, Boston, MA jmeigs@mgh.harvard.edu.

Funding

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 DK078616
6 · The paper itself

Abstract

objectiveType 2 diabetes (T2D) is associated with increased mortality in ethnically diverse populations, although the extent to which this association is genetically determined is unknown. We sought to determine whether T2D-related genetic variants predicted all-cause mortality, even after accounting for BMI, in the Third National Health and Nutrition Examination Survey. RESEARCH DESIGN AND

methodsWe modeled mortality risk using a genetic risk score (GRS) from a weighted sum of risk alleles at 38 T2D-related single nucleotide polymorphisms. In age-, sex-, and BMI-adjusted logistic regression models, accounting for the complex survey design, we tested the association with mortality in 6,501 participants. We repeated the analysis within ethnicities (2,528 non-Hispanic white [NHW], 1,979 non-Hispanic black [NHB], and 1,994 Mexican American [MA]) and within BMI categories (<25, 25-30, and ≥30 kg/m(2)). Significance was set at P < 0.05.

resultsOver 17 years, 1,556 participants died. GRS was associated with mortality risk (OR 1.04 [95% CI 1.00-1.07] per T2D-associated risk allele, P = 0.05). Within ethnicities, GRS was positively associated with mortality risk in NHW and NHB, but not in MA (0.95 [0.90-1.01], P = 0.07). The negative trend in MA was largely driven by those with BMI <25 kg/m(2) (0.91 [0.82-1.00]). In NHW, the positive association was strongest among those with BMI ≥30 kg/m(2) (1.07 [1.02-1.12]).

conclusionsIn the U.S., a higher T2D genetic risk was associated with increased mortality risk, especially among obese NHW. The underlying genetic basis for mortality likely involves complex interactions with factors related to ethnicity, T2D, and body weight.

Indexed as

Genetic Predisposition to DiseaseAdultAllelesBody Mass IndexCardiovascular DiseasesDiabetes Mellitus, Type 2EthnicityFemaleFollow-Up StudiesGenotyping TechniquesHumansLogistic ModelsMaleNeoplasmsObesityPolymorphism, Single Nucleotide

Identifiers

PMID26884474
PMCPMC4806775

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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.