Evidence map›Paper›PMID 30271426›Full record

ArticleFrontiers in genetics2018

Exploring the Genetic Correlation Between Growth and Immunity Based on Summary Statistics of Genome-Wide Association Studies.

Zhe Zhang, Peipei Ma, Qiumeng Li, Qian Xiao, Hao Sun, Babatunde Shittu Olasege, Qishan Wang, Yuchun Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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

8 authors at 2 institutions in 1 country.

Zhe ZhangDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Peipei MaDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qiumeng LiDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qian XiaoDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Hao SunDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Babatunde Shittu OlasegeDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qishan WangDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Yuchun PanDepartment of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Veterinary Research Institute · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between growth and immune phenotypes has been presented in the context of physiology and energy allocation theory, but has rarely been explained genetically in humans. As more summary statistics of genome-wide association studies (GWAS) become available, it is increasingly possible to explore the genetic relationship between traits at the level of genome-wide summary statistics. In this study, publicly available summary statistics of growth and immune related traits were used to evaluate the genetic correlation coefficients between immune and growth traits, as well as the cause and effect relationship between them. In addition, pleiotropic variants and KEGG pathways were identified. As a result, we found negative correlations between birthweight and immune cell count phenotypes, a positive correlation between childhood head circumference and eosinophil counts (EO), and positive or negative correlations between childhood body mass index and immune phenotypes. Statistically significant negative effects of immune cell count phenotypes on human height, and a slight but significant negative influence of human height on allergic disease were also observed. A total of 98 genomic regions were identified as containing variants potentially related to both immunity and growth. Some variants, such as rs3184504 located in

Indexed as

genetic correlationgrowthGWASimmunepleiotropysummary statistics

Identifiers

PMID30271426
PMCPMC6149433
OpenAlexW2890422929

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.