Evidence map›Paper›PMID 31998355›Full record

ArticleFrontiers in genetics2019

Candidate Regulators of Dyslipidemia in Chromosome 1 Substitution Lines Using Liver Co-Expression Profiling Analysis.

Fuyi Xu, Maochun Wang, Shixian Hu, Yuxun Zhou, John Collyer, Kai Li, Hongyan Xu, Junhua Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 3 countries.

Fuyi XuCollege of Chemistry, Chemical Engineering, and Biotechnology, Donghua University, Shanghai, China.
Maochun WangCollege of Chemistry, Chemical Engineering, and Biotechnology, Donghua University, Shanghai, China.
Shixian HuDepartment of Gastroenterology and Hepatology, University of Groningen and University Medical Center Groningen, Groningen, Netherlands.
Yuxun ZhouCollege of Chemistry, Chemical Engineering, and Biotechnology, Donghua University, Shanghai, China.
John CollyerDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
Kai LiCollege of Chemistry, Chemical Engineering, and Biotechnology, Donghua University, Shanghai, China.
Hongyan XuDepartment of Biostatistics and Epidemiology, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Junhua XiaoCollege of Chemistry, Chemical Engineering, and Biotechnology, Donghua University, Shanghai, China.
Donghua University · CNUniversity of Tennessee Health Science Center · USAugusta University · USUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is a major risk factor for cardiovascular disease. Although many genetic factors have been unveiled, a large fraction of the phenotypic variance still needs further investigation. Chromosome 1 (Chr 1) harbors multiple gene loci that regulate blood lipid levels, and identifying functional genes in these loci has proved challenging. We constructed a mouse population, Chr 1 substitution lines (C1SLs), where only Chr 1 differs from the recipient strain C57BL/6J (B6), while the remaining chromosomes are unchanged. Therefore, any phenotypic variance between C1SLs and B6 can be attributed to the differences in Chr 1. In this study, we assayed plasma lipid and glucose levels in 13 C1SLs and their recipient strain B6. Through weighted gene co-expression network analysis of liver transcriptome and "guilty-by-association" study, eight associated modules of plasma lipid and glucose were identified. Further joint analysis of human genome wide association studies revealed 48 candidate genes. In addition, 38 genes located on Chr 1 were also uncovered, and 13 of which have been functionally validated in mouse models. These results suggest that C1SLs are ideal mouse models to identify functional genes on Chr 1 associated with complex traits, like dyslipidemia, by using gene co-expression network analysis.

Indexed as

candidate geneChr 1 substitution linesgene networkgenome wide association studiesplasma lipid

Identifiers

PMID31998355
PMCPMC6962132
OpenAlexW2999666626

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.