Evidence map›Paper›PMID 33116219›Full record

ArticleScientific reports2020

Inclusion of endophenotypes in a standard GWAS facilitate a detailed mechanistic understanding of genetic elements that control blood lipid levels.

Qianqian Zhang, Zexi Cai, Marie Lhomme, Goutam Sahana, Philippe Lesnik, Maryse Guerin, Merete Fredholm, Peter Karlskov-Mortensen

Abstract read
In one paragraph

Article in Scientific reports, 2020. 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Expanding the pig metabolomics QTL catalog.Genetics, selection, evolution : GSE · 2026
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  7. Connecting genomic and proteomic signatures of amyloid burden in the brain.medRxiv : the preprint server for health sciences · 2024
    Article
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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.

Qianqian ZhangBioinformatics Research Centre (BiRC), Aarhus University, C.F.Møllers Allé 8, 8000, Aarhus C, Denmark.
Zexi CaiCenter for Quantitativ Genetics and Genomics, Aarhus University, Blichers Allé 20, 8830, Tjele, Danmark.
Marie LhommeICANalytics, Institute of Cardiometabolism and Nutrition (ICAN), 47-83 boulevard de l'hôpital, 75013, Paris, France.
Goutam SahanaCenter for Quantitativ Genetics and Genomics, Aarhus University, Blichers Allé 20, 8830, Tjele, Danmark.
Philippe LesnikUnité de Recherche sur les maladies cardiovasculaires, le métabolisme et la nutrition, INSERM UMR_S 1166, ICAN Institute of Cardiometabolism & Nutrition, Faculté de Médecine Sorbonne Université, Sorbonne Université, 4ème étage, Bureau 421,91, boulevard de l'Hôpital, 75634, Paris Cedex 13, France.
Maryse GuerinUnité de Recherche sur les maladies cardiovasculaires, le métabolisme et la nutrition, INSERM UMR_S 1166, ICAN Institute of Cardiometabolism & Nutrition, Faculté de Médecine Sorbonne Université, Sorbonne Université, 4ème étage, Bureau 421,91, boulevard de l'Hôpital, 75634, Paris Cedex 13, France.
Merete FredholmAnimal Genetics, Bioinformatics and Breeding, Department of Veterinary and Animal Sciences, University of Copenhagen, Gronnegaardsvej 3, 1870, Frederikgsberg C, Denmark.
Peter Karlskov-MortensenAnimal Genetics, Bioinformatics and Breeding, Department of Veterinary and Animal Sciences, University of Copenhagen, Gronnegaardsvej 3, 1870, Frederikgsberg C, Denmark. pkm@sund.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is the primary cause of cardiovascular disease, which is a serious human health problem in large parts of the world. Therefore, it is important to understand the genetic and molecular mechanisms that regulate blood levels of cholesterol and other lipids. Discovery of genetic elements in the regulatory machinery is often based on genome wide associations studies (GWAS) focused on end-point phenotypes such as total cholesterol level or a disease diagnosis. In the present study, we add endophenotypes, such as serum levels of intermediate metabolites in the cholesterol synthesis pathways, to a GWAS analysis and use the pig as an animal model. We do this to increase statistical power and to facilitate biological interpretation of results. Although the study population was limited to ~ 300 individuals, we identify two genome-wide significant associations and ten suggestive associations. Furthermore, we identify 28 tentative associations to loci previously associated with blood lipids or dyslipidemia associated diseases. The associations with endophenotypes may inspire future studies that can dissect the biological mechanisms underlying these previously identified associations and add a new level of understanding to previously identified associations.

Indexed as

EndophenotypesGenome-Wide Association StudyAnimalsCardiovascular DiseasesCholesterolDyslipidemiasFemaleMaleSwineTriglyceridesCholesterolTriglycerides

Identifiers

PMID33116219
PMCPMC7595098

What OpenQuestion holds

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Registered trials

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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.