Evidence map›Paper›PMID 22540250›Full record

ArticleBMC medical genetics2012

Race-ethnic differences in the association of genetic loci with HbA1c levels and mortality in U.S. adults: the third National Health and Nutrition Examination Survey (NHANES III).

Jonna L Grimsby, Bianca C Porneala, Jason L Vassy, Quanhe Yang, José C Florez, Josée Dupuis, Tiebin Liu, Ajay Yesupriya, Man-Huei Chang, Renee M Ned and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Ethnicity Affects A1C Levels in Patients With Diagnosed Type 2 Diabetes in Southern Israel.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Rationale and Design for a GRADE Substudy of Continuous Glucose Monitoring.Diabetes technology & therapeutics · 2019 · on this map
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Should haemoglobin A1C be used for diagnosis of diabetes mellitus in Malawi?Malawi medical journal : the journal of Medical Association of Malawi · 2016
    Article
  20. 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

14 authors at 5 institutions in 1 country.

Jonna L GrimsbyGeneral Medicine Division, Massachusetts General Hospital, Boston, MA, USA.
Bianca C Porneala
Jason L Vassy
Quanhe Yang
José C Florez
Josée Dupuis
Tiebin Liu
Ajay Yesupriya
Man-Huei Chang
Renee M Ned
Nicole F Dowling
Muin J Khoury
James B Meigs
MAGIC Investigators
Centers for Disease Control and Prevention · USMassachusetts General Hospital · USOffice of Public Health Genomics · USBoston University · USHarvard University · US

Funding

Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Genetic variation in drug targets for type 2 diabetesK23DK065978 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2004 to 2008
$653k
NIDDK NIH HHS K23 DK65978NIDDK NIH HHS K24 DK080140NIDDK NIH HHS L30 DK089597NIDDK NIH HHS R01 DK078616
6 · The paper itself

Abstract

backgroundHemoglobin A1c (HbA1c) levels diagnose diabetes, predict mortality and are associated with ten single nucleotide polymorphisms (SNPs) in white individuals. Genetic associations in other race groups are not known. We tested the hypotheses that there is race-ethnic variation in 1) HbA1c-associated risk allele frequencies (RAFs) for SNPs near SPTA1, HFE, ANK1, HK1, ATP11A, FN3K, TMPRSS6, G6PC2, GCK, MTNR1B; 2) association of SNPs with HbA1c and 3) association of SNPs with mortality.

methodsWe studied 3,041 non-diabetic individuals in the NHANES (National Health and Nutrition Examination Survey) III. We stratified the analysis by race/ethnicity (NHW: non-Hispanic white; NHB: non-Hispanic black; MA: Mexican American) to calculate RAF, calculated a genotype score by adding risk SNPs, and tested associations with SNPs and the genotype score using an additive genetic model, with type 1 error = 0.05.

resultsRAFs varied widely and at six loci race-ethnic differences in RAF were significant (p < 0.0002), with NHB usually the most divergent. For instance, at ATP11A, the SNP RAF was 54% in NHB, 18% in MA and 14% in NHW (p < .0001). The mean genotype score differed by race-ethnicity (NHW: 10.4, NHB: 11.0, MA: 10.7, p < .0001), and was associated with increase in HbA1c in NHW (β = 0.012 HbA1c increase per risk allele, p = 0.04) and MA (β = 0.021, p = 0.005) but not NHB (β = 0.007, p = 0.39). The genotype score was not associated with mortality in any group (NHW: OR (per risk allele increase in mortality) = 1.07, p = 0.09; NHB: OR = 1.04, p = 0.39; MA: OR = 1.03, p = 0.71).

conclusionAt many HbA1c loci in NHANES III there is substantial RAF race-ethnic heterogeneity. The combined impact of common HbA1c-associated variants on HbA1c levels varied by race-ethnicity, but did not influence mortality.

Indexed as

AdultBiomarkersBlack or African AmericanBlack PeopleBlood GlucoseChildDiabetes MellitusDiabetes Mellitus, Type 2EthnicityFemaleGene FrequencyGenetic LociGlycated HemoglobinHumansLinear ModelsLinkage DisequilibriumBiomarkersBlood GlucoseGlycated Hemoglobin

Identifiers

PMID22540250
PMCPMC3433372
OpenAlexW2043023020

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.