Evidence map›Paper›PMID 24903457›Full record

SynthesisBMC medical genetics2014

Identification of a genetic variant at 2q12.1 associated with blood pressure in East Asians by genome-wide scan including gene-environment interactions.

Yun Kyoung Kim, Youngdoe Kim, Mi Yeong Hwang, Kazuro Shimokawa, Sungho Won, Norihiro Kato, Yasuharu Tabara, Mitsuhiro Yokota, Bok-Ghee Han, Jong Ho Lee and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Genetics of Hypertension: From Monogenic Analysis to GETomics.Journal of cardiovascular development and disease · 2024
    Review
  4. Article
  5. Review
  6. Hypertension genomics and cardiovascular prevention.Annals of translational medicine · 2018
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

11 authors at 7 institutions in 3 countries.

Yun Kyoung Kim
Youngdoe Kim
Mi Yeong Hwang
Kazuro Shimokawa
Sungho Won
Norihiro Kato
Yasuharu Tabara
Mitsuhiro Yokota
Bok-Ghee Han
Jong Ho Lee
Bong-Jo KimDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, 363-700 Chungcheongbuk-do, Republic of Korea. kbj6181@cdc.go.kr.
Centers for Disease Control and Prevention · USNational Center for Global Health and Medicine · JPYonsei University · KRAichi Gakuin University · JPChung-Ang University · KRKorea National Institute of Health · KRKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association studies have identified many genetic loci associated with blood pressure (BP). Genetic effects on BP can be altered by environmental exposures via multiple biological pathways. Especially, obesity is one of important environmental risk factors that can have considerable effect on BP and it may interact with genetic factors. Given that, we aimed to test whether genetic factors and obesity may jointly influence BP.

methodsWe performed meta-analyses of genome-wide association data for systolic blood pressure (SBP) and diastolic blood pressure (DBP) that included analyses of interaction between single nucleotide polymorphisms (SNPs) and the obesity-related anthropometric measures, body mass index (BMI), height, weight, and waist/hip ratio (WHR) in East-Asians (n = 12,030).

resultsWe identified that rs13390641 on 2q12.1 demonstrated significant association with SBP when the interaction between SNPs and BMI was considered (P < 5 × 10 -8). The gene located nearest to rs13390641, TMEM182, encodes transmembrane protein 182. In stratified analyses, the effect of rs13390641 on BP was much stronger in obese individuals (BMI ≥ 30) than non-obese individuals and the effect of BMI on BP was strongest in individuals with the homozygous A allele of rs13390641.

conclusionsOur analyses that included interactions between SNPs and environmental factors identified a genetic variant associated with BP that was overlooked in standard analyses in which only genetic factors were included. This result also revealed a potential mechanism that integrates genetic factors and obesity related traits in the development of high BP.

Indexed as

Chromosomes, Human, Pair 2Gene-Environment InteractionGenetic VariationGenome-Wide Association StudyAsian PeopleBlood PressureBody Mass IndexGenetic Association StudiesGenotypeHumansObesityPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID24903457
PMCPMC4059884
OpenAlexW2138373531

What OpenQuestion 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 OpenQuestion graph.