Evidence mapPaperPMID 31662442Full record

ArticleJournal of lipid research2019

A genome-wide search for gene-by-obesity interaction loci of dyslipidemia in Koreans shows diverse genetic risk alleles.

Moonil Kang, Joohon Sung

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Association ofGenes · 2025
    Observational
  2. Article
  3. Article
  4. Specific Functions of Melanocortin 3 Receptor (MC3R)Journal of clinical research in pediatric endocrinology · 2023
    Review
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Moonil KangDivision of Genome and Health Big Data, Department of Public Health Sciences Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Joohon SungDivision of Genome and Health Big Data, Department of Public Health Sciences Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea jsung@snu.ac.kr.
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is a well-established risk factor for CVD. Studies suggest that similar fat accumulation in a given population might result in different levels of dyslipidemia risk among individuals; for example, despite similar or leaner body composition compared with Caucasians, Asians of Korean descent experience a higher prevalence of dyslipidemia. These variations imply a possible role of gene-obesity interactions on lipid profiles. Genome-wide association studies have identified more than 500 loci regulating plasma lipids, but the interaction structure between genes and obesity traits remains unclear. We hypothesized that some loci modify the effects of obesity on dyslipidemia risk and analyzed extensive gene-environment interactions (G×Es) at genome-wide levels to search for replicated gene-obesity interactive SNPs. In four Korean cohorts (n = 18,025), we identified and replicated 20 gene-obesity interactions, including novel variants (

Indexed as

AllelesGenomicsAdultAgedCohort StudiesDyslipidemiasFemaleGenetic LociGenetic Predisposition to DiseaseHumansMaleMiddle AgedObesityRepublic of Koreadyslipidemiasgene-environment interactiongenome-wide interaction scanhigh density lipoproteinlipidslow density lipoproteinmeta-analysismissing heritabilityobesitytriglycerides

Identifiers

PMID31662442
PMCPMC6889708
OpenAlexW2982320970

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.