Evidence map›Paper›PMID 35129060›Full record

ArticleGut microbes

Linkage analysis identifies novel genetic modifiers of microbiome traits in families with inflammatory bowel disease.

Arunabh Sharma, Silke Szymczak, Malte Rühlemann, Sandra Freitag-Wolf, Carolin Knecht, Janna Enderle, Stefan Schreiber, Andre Franke, Wolfgang Lieb, Michael Krawczak and 1 more

Open access · goldAbstract read
In one paragraph

Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. International journal of molecular sciences · 2024
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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

11 authors at 1 institution in 1 country.

Arunabh SharmaInstitute of Medical Informatics and Statistics, Kiel University, Kiel, Germany.ORCID 0000-0001-7808-0942
Silke SzymczakInstitute of Medical Informatics and Statistics, Kiel University, Kiel, Germany.ORCID 0000-0002-8897-9035
Malte RühlemannInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.ORCID 0000-0002-0685-0052
Sandra Freitag-WolfInstitute of Medical Informatics and Statistics, Kiel University, Kiel, Germany.ORCID 0000-0002-1069-7740
Carolin KnechtInstitute of Medical Informatics and Statistics, Kiel University, Kiel, Germany.
Janna EnderleInstitute of Epidemiology, Kiel University, Kiel, Germany.ORCID 0000-0002-5481-5905
Stefan SchreiberInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.ORCID 0000-0003-2254-7771
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.ORCID 0000-0003-1530-5811
Wolfgang LiebInstitute of Epidemiology, Kiel University, Kiel, Germany.ORCID 0000-0003-2544-4460
Michael KrawczakInstitute of Medical Informatics and Statistics, Kiel University, Kiel, Germany.ORCID 0000-0003-2603-1502
Astrid DempfleInstitute of Medical Informatics and Statistics, Kiel University, Kiel, Germany.ORCID 0000-0002-2618-3920
Christian-Albrechts-Universität zu Kiel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysbiosis of the gut microbiome is a hallmark of inflammatory bowel disease (IBD) and both, IBD risk and microbiome composition, have been found to be associated with genetic variation. Using data from families of IBD patients, we examined the association between genetic and microbiome similarity in a specific IBD context, followed by a genome-wide quantitative trait locus (QTL) linkage analysis of various microbiome traits using the same data. SNP genotypes as well as gut microbiome and phenotype data were obtained from the Kiel IBD family cohort (IBD-KC). The IBD-KC is an ongoing prospective study in Germany currently comprising 256 families with 455 IBD patients and 575 first- and second-degree relatives. Initially focusing upon known IBD risk loci, we noted a statistically significant (FDR<0.05) association between genetic similarity at SNP rs11741861 and overall microbiome dissimilarity among pairs of relatives discordant for IBD. In a genome-wide QTL analysis, 12 chromosomal regions were found to be linked to the abundance of one of seven microbial genera, namely

Indexed as

Gastrointestinal MicrobiomeAdultBacteriaFemaleGenetic Predisposition to DiseaseHumansInflammatory Bowel DiseasesLongitudinal StudiesMiddle AgedPhenotypeProspective StudiesQuantitative Trait Locifamily-based study designGut microbiomeinflammatory bowel diseaseslinkage analysis

Identifiers

PMID35129060
PMCPMC8820822
OpenAlexW4212909070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.