Evidence map›Paper›PMID 32600361›Full record

ArticleBMC cancer2020

Integration of genomics, metagenomics, and metabolomics to identify interplay between susceptibility alleles and microbiota in adenoma initiation.

Jacob E Moskowitz, Anthony G Doran, Zhentian Lei, Susheel B Busi, Marcia L Hart, Craig L Franklin, Lloyd W Sumner, Thomas M Keane, James M Amos-Landgraf

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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

9 authors at 4 institutions in 2 countries.

Jacob E MoskowitzDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO, 65201, USA.
Anthony G DoranWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Zhentian LeiDepartment of Biochemistry, MU Metabolomics Center, University of Missouri Bond Life Sciences Center, Columbia, MO, 65201, USA.
Susheel B BusiDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO, 65201, USA.
Marcia L HartMutant Mouse Resource and Research Center, University of Missouri, 4011 Discovery Drive, Columbia, MO, 65201, USA.
Craig L FranklinDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO, 65201, USA.
Lloyd W SumnerDepartment of Biochemistry, MU Metabolomics Center, University of Missouri Bond Life Sciences Center, Columbia, MO, 65201, USA.
Thomas M KeaneWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
James M Amos-LandgrafDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO, 65201, USA. amoslandgrafj@missouri.edu.ORCID http://orcid.org/0000-0003-2535-7746
University of Missouri · USEuropean Bioinformatics Institute · GBCedars-Sinai Medical Center · USMissouri College · US

Funding

The Mutant Mouse Resource and Research Center at the University of Missouri - ResourceU42OD010918 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI Bret Daniel Ulery · 2012 to 2026
$25.1M
Postdoctoral Training in Comparative MedicineT32OD011126 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI Elizabeth C Bryda, Aaron Ericsson · 2012 to 2026
$3.4M
Medical Research Council MR/R017565/1NIH HHS T32 OD011126NIH HHS U42 OD010918ODCDC CDC HHS U42 OD010918
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is a multifactorial disease resulting from both genetic predisposition and environmental factors including the gut microbiota (GM), but deciphering the influence of genetic variants, environmental variables, and interactions with the GM is exceedingly difficult. We previously observed significant differences in intestinal adenoma multiplicity between C57BL/6 J-Apc

methodsTo resolve genetic and environmental interactions and determine their contributions we utilized two genetically inbred, independently isolated Apc

resultsWGS revealed several thousand high quality variants unique to the two substrains. No homozygous variants were present in coding regions, with the vast majority of variants residing in noncoding regions. Host genetic divergence between Min/J and Min/D and the complex GM additively determined differential adenoma susceptibility. Untargeted metabolomics revealed that both genetic lineage and the GM collectively determined the fecal metabolite profile, and that each differentially regulates bile acid (BA) metabolism. Metabolomics pathway analysis facilitated identification of a functionally relevant private noncoding variant associated with the bile acid transporter Fatty acid binding protein 6 (Fabp6). Expression studies demonstrated differential expression of Fabp6 between Min/J and Min/D, and the variant correlates with adenoma multiplicity in backcrossed mice.

conclusionsWe found that both genetic variation and differences in microbiota influences the quantitiative adenoma phenotype in Apc

Indexed as

Genetic Predisposition to DiseaseAdenomaAdenomatous Polyposis Coli ProteinAllelesAnimalsColorectal NeoplasmsDisease Models, AnimalFemaleGastrointestinal MicrobiomeHumansMaleMetabolomicsMetagenomicsMiceMutationAdenomatous Polyposis Coli Proteinadenomatous polyposis coli protein, mouseApcColorectal cancerGeneticsGut microbiotaMetabolomicsMin

Identifiers

PMID32600361
PMCPMC7322931
OpenAlexW3037328135

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.