Evidence mapPaperPMID 26833210Full record

SynthesisCardiovascular diabetology2016

Evaluation of pleiotropic effects among common genetic loci identified for cardio-metabolic traits in a Korean population.

Yun Kyoung Kim, Mi Yeong Hwang, Young Jin Kim, Sanghoon Moon, Sohee Han, Bong-Jo Kim

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cardiovascular diabetology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Advances in the Genetics of Hypertension: The Effect of Rare Variants.International journal of molecular sciences · 2018
    Review
  11. Diabetology & metabolic syndrome · 2018
    Article
  12. Article
  13. 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 at 1 institution in 1 country.

Yun Kyoung KimDivision of Structural and Functional Genomics, Center for Genome Sciences, National Institute of Health, Centers for Disease Control and Prevention, Cheongju-si, Chungcheongbuk-do, 28159, South Korea. bborumi@gmail.com.
Mi Yeong HwangDivision of Structural and Functional Genomics, Center for Genome Sciences, National Institute of Health, Centers for Disease Control and Prevention, Cheongju-si, Chungcheongbuk-do, 28159, South Korea. myhwang85@gmail.com.
Young Jin KimDivision of Structural and Functional Genomics, Center for Genome Sciences, National Institute of Health, Centers for Disease Control and Prevention, Cheongju-si, Chungcheongbuk-do, 28159, South Korea. anwltlarkr@gmail.com.
Sanghoon MoonDivision of Structural and Functional Genomics, Center for Genome Sciences, National Institute of Health, Centers for Disease Control and Prevention, Cheongju-si, Chungcheongbuk-do, 28159, South Korea. moon.sanghoon@daum.net.
Sohee HanDivision of Structural and Functional Genomics, Center for Genome Sciences, National Institute of Health, Centers for Disease Control and Prevention, Cheongju-si, Chungcheongbuk-do, 28159, South Korea. smallstar1999@hanmail.net.
Bong-Jo KimDivision of Structural and Functional Genomics, Center for Genome Sciences, National Institute of Health, Centers for Disease Control and Prevention, Cheongju-si, Chungcheongbuk-do, 28159, South Korea. kbj6181@cdc.go.kr.
Korea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genetic contribution to complex diseases or traits, including cardio-metabolic traits, has been elucidated recently by large-scale genome-wide association studies. These genome-wide association studies have indicated that most pleiotropic loci contain genes associated with lipids. Clinically, lipid related abnormalities are strongly associated with other diseases such as type 2 diabetes, coronary artery disease and hypertension. The aim of this study was to evaluate the shared genetic background of lipids and other cardio-metabolic traits.

methodsWe conducted meta-analyses of the association between 157 published lipid-associated loci and 10 cardio-metabolic traits in 14,028 Korean individuals genotyped using the Exome chip (Illumina HumanExome BeadChip). We also examined whether the pleiotropic effects of such loci constituted independent (i.e., biological) pleiotropy or mediated pleiotropy in these metabolic pathways.

resultsEighteen lipid-associated loci were significantly associated with one of six cardio-metabolic traits after correction for multiple testing (P < 3.70 × 10(-4)). Region 12q24.12 had pleiotropic effects on fasting plasma glucose, blood pressure and obesity-related traits (body mass index and waist-hip ratio) independent of its effects on the lipid profile. Lipid risk scores, calculated according to whether or not subjects carried the risk allele for lipid traits, were significantly associated with fasting plasma glucose, blood pressure and obesity-related traits.

conclusionsThe 12q24.12 region showed ethnic-specific genetic pleiotropy among cardio-metabolic traits in this study. Our findings may help to account for molecular mechanisms based on shared genetic background underlying not only dyslipidemia, but also cardiovascular disease and type 2 diabetes.

Indexed as

Chromosomes, Human, Pair 12Genetic LociGenetic PleiotropyAsian PeopleBiomarkersBlood GlucoseBlood PressureBody Mass IndexDatabases, ProteinGene Expression ProfilingGenetic Association StudiesGenetic Predisposition to DiseaseHumansLipidsMetabolic SyndromeOligonucleotide Array Sequence AnalysisBiomarkersBlood GlucoseLipids

Identifiers

PMID26833210
PMCPMC4736473
OpenAlexW2255580400

What Socratic holds

Textmetadata
LicenceCC BY
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.