Evidence map›Paper›PMID 33143653›Full record

ArticleBMC genomics2020

Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity.

Ilona Binenbaum, Hanifa Abu-Toamih Atamni, Georgios Fotakis, Georgia Kontogianni, Theodoros Koutsandreas, Eleftherios Pilalis, Richard Mott, Heinz Himmelbauer, Fuad A Iraqi, Aristotelis A Chatziioannou

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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, 12 citations in OpenAlex.

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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

10 authors at 7 institutions in 5 countries.

Ilona BinenbaumDivision of Pediatric Hematology-Oncology, First Department of Pediatrics, National and Kapodistrian University of Athens, Athens, Greece.
Hanifa Abu-Toamih AtamniDepartment of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Georgios FotakisDivision of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria.
Georgia KontogianniCenter of Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Theodoros Koutsandrease-NIOS PC, Kallithea, Athens, Greece.
Eleftherios Pilalise-NIOS PC, Kallithea, Athens, Greece.
Richard MottDepartment of Genetics, University College of London, London, UK.
Heinz HimmelbauerInstitute of Computational Biology, Department of Biotechnology, University of Life Sciences and Natural Resources, Vienna (BOKU), Vienna, Austria.
Fuad A IraqiDepartment of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. fuadi@tauex.tau.ac.il.
Aristotelis A Chatziioannoue-NIOS PC, Kallithea, Athens, Greece. achatzi@bioacademy.gr.
Biomedical Research Foundation of the Academy of Athens · GRTel Aviv University · ILBOKU University · ATKuehne + Nagel (Greece) · GRNational and Kapodistrian University of Athens · GRUniversität Innsbruck · ATUniversity College London · GB

Funding

"BioS: Digital Skills on Computational Biology", ΕRASMUS+, KA2: Cooperation for innovation and the exchange of good practices - Sector Skills Alliances EACEA/04/2017German-Israeli Foundation for Scientific Research and Development I-63-410.20-2017Israel Science Foundation 1085/18Israel Science Foundation 429/09Operational Program "Competitiveness, Entrepreneurship and Innovation 2014-2020" "Innovative Nanopharmaceuticals: Targeting Breast Cancer Stem Cells by a Novel Combination of Epigenetic and Anticancer Drugs with Gene Therapy (INNOCENT)" (7th Joint Translational Call - 2016, European Innovative Research and Technological Development Projects In Nanomedicine) of the ERA-NET EuroNanoMed IIUnited States - Israel Binational Science Foundation 2015077Wellcome TrustWellcome Trust 075491/Z/04Wellcome Trust 085906/Z/08/ZWellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

backgroundThe Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity. Although the development of obesity is influenced by environmental factors, underlying genetic mechanisms play a crucial role in the response to these factors. The interplay between the genetic background and the gene expression pattern can provide further insight into this response, but we lack robust and easily reproducible workflows to integrate genomic and transcriptomic information in the CC mouse population.

resultsWe established an automated and reproducible integrative workflow to analyse complex traits in the CC mouse genetic reference panel at the genomic and transcriptomic levels. We implemented the analytical workflow to assess the underlying genetic mechanisms of host susceptibility to diet induced obesity and integrated these results with diet induced changes in the hepatic gene expression of susceptible and resistant mice. Hepatic gene expression differs significantly between obese and non-obese mice, with a significant sex effect, where male and female mice exhibit different responses and coping mechanisms.

conclusionIntegration of the data showed that different genes but similar pathways are involved in the genetic susceptibility and disturbed in diet induced obesity. Genetic mechanisms underlying susceptibility to high-fat diet induced obesity are different in female and male mice. The clear distinction we observed in the systemic response to the high-fat diet challenge and to obesity between male and female mice points to the need for further research into distinct sex-related mechanisms in metabolic disease.

Indexed as

Collaborative Cross MiceQuantitative Trait LociAnimalsDiet, High-FatFemaleGenetic Predisposition to DiseaseMaleMiceObesityCollaborative CrossHigh-fat dietObesityQTLRNAseqSex-differences

Identifiers

PMID33143653
PMCPMC7640698
OpenAlexW3097482069

What OpenQuestion holds

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LicenceCC BY
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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.