Evidence map›Paper›PMID 26064965›Full record

SynthesisBioMed research international2015

Influence of Genetic Variants in EGF and Other Genes on Hematological Traits in Korean Populations by a Genome-Wide Approach.

Yun Kyoung Kim, Ji Hee Oh, Young Jin Kim, Mi Yeong Hwang, Sanghoon Moon, Siew-Kee Low, Atsushi Takahashi, Koichi Matsuda, Michiaki Kubo, Juyoung Lee and 1 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 20% 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, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  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

11 authors at 3 institutions in 2 countries.

Yun Kyoung KimDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Ji Hee OhDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Young Jin KimDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Mi Yeong HwangDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Sanghoon MoonDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Siew-Kee LowCenter for Integrative Medical Sciences, RIKEN, Kanagawa, Japan.
Atsushi TakahashiCenter for Integrative Medical Sciences, RIKEN, Kanagawa, Japan.
Koichi MatsudaInstitute of Medical Science, The University of Tokyo, Tokyo, Japan.
Michiaki KuboCenter for Integrative Medical Sciences, RIKEN, Kanagawa, Japan.
Juyoung LeeDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Bong-Jo KimDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 361-951, Republic of Korea.
Korea National Institute of Health · KRRIKEN Center for Integrative Medical Sciences · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological traits are important health indicators and are used as diagnostic clinical parameters for human disorders. Recently, genome-wide association studies (GWAS) identified many genetic loci associated with hematological traits in diverse ethnic groups. However, additional GWAS are necessary to elucidate the breadth of genetic variation and the underlying genetic architecture represented by hematological metrics. To identify additional genetic loci influencing hematological traits (such as hematocrit, hemoglobin concentration, white blood cell count, red blood cell count, and platelet count), we conducted GWAS and meta-analyses on data from 12,509 Korean individuals grouped into population-based cohorts. Of interest is EGF, a factor plays a role in the proliferation and differentiation of hematopoietic progenitor cells. We identified a novel EGF variant, which associated with platelet count in our study (P combined = 2.44 × 10(-15)). Our study also replicated 16 genetic associations related to five hematological traits with genome-wide significance (P < 5 × 10(-8)) that were previously established in other ethnic groups. Of these, variants influencing platelet count are distributed across several genes and have pleiotropic effects in coronary artery disease and dyslipidemia. Our findings may aid in elucidating molecular mechanisms underlying not only hematopoiesis but also inflammatory and cardiovascular diseases.

Indexed as

Genome-Wide Association StudyPlatelet CountAsian PeopleEpidermal Growth FactorErythrocyte CountGenotypeHematocritHumansLeukocyte CountPolymorphism, Single NucleotideRepublic of KoreaEpidermal Growth Factor

Identifiers

PMID26064965
PMCPMC4430676
OpenAlexW2011372873

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.