Evidence map›Paper›PMID 27439680›Full record

ArticleJournal of human genetics2016

Genetic-risk assessment of GWAS-derived susceptibility loci for type 2 diabetes in a 10 year follow-up of a population-based cohort study.

Min Jin Go, Young Lee, Suyeon Park, Soo Heon Kwak, Bong-Jo Kim, Juyoung Lee

Abstract read
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In one paragraph

Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Genetics of diabetes.World journal of diabetes · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Genetic variants associated with patent ductus arteriosus in extremely preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2019
    Article
  13. Article
  14. Article
  15. 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

6 authors.

Min Jin GoDivision of Structural and Functional Genomics, The Center for Genome Science, Korea National Institute of Health, KCDC, Osong, Republic of Korea.
Young LeeDivision of Structural and Functional Genomics, The Center for Genome Science, Korea National Institute of Health, KCDC, Osong, Republic of Korea.
Suyeon ParkDivision of Structural and Functional Genomics, The Center for Genome Science, Korea National Institute of Health, KCDC, Osong, Republic of Korea.
Soo Heon KwakDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Bong-Jo KimDivision of Structural and Functional Genomics, The Center for Genome Science, Korea National Institute of Health, KCDC, Osong, Republic of Korea.
Juyoung LeeDivision of Structural and Functional Genomics, The Center for Genome Science, Korea National Institute of Health, KCDC, Osong, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, genome-wide meta-analyses have identified genetic susceptibility to type 2 diabetes mellitus (T2D) predominantly in populations of European ancestry. However, comprehensive genetic-risk assessment based on previous GWAS loci has not been fully tested in non-European populations. To evaluate whether a genetic-risk score (GRS) could improve T2D-risk prediction in the Korean population, a GRS (GRS-55) was constructed by summing 55 risk alleles based on the 1000 Genomes imputation in the Korean Association Resource study (T2D cases=1042 and controls=2943 at baseline). We also constructed another GRS (GRS-19) based on nominal significance and consistent direction of effect. In mean difference tests, the mean value of the GRS-19 was significantly higher in T2D cases than in controls at baseline examination. In a model adjusted for area, age, sex and body mass index, weighted GRS-19 was found to be associated with enhanced effect sizes of T2D risk under consistent C-statistics. In addition, we confirmed cumulative risk effects on incidence rates of T2D, fasting plasma glucose and glycated hemoglobin (HbA1c) levels in a longitudinal 10 year of follow-up study. These findings highlight that a genotype score comprised of 19 common variants contributed to T2D-risk prediction in the Korean population. Further multi-locus epistatic interactions may provide the possibility to improve risk prediction in C-statistics for discrimination or reclassification.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPopulation SurveillanceQuantitative Trait LociAdultAgedAllelesBiomarkersCase-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansMaleMiddle AgedBiomarkers

Identifiers

PMID27439680

What OpenQuestion holds

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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.