Evidence map›Paper›PMID 26811639›Full record

ReviewWorld journal of gastroenterology2016

Application of computational methods in genetic study of inflammatory bowel disease.

Jin Li, Zhi Wei, Hakon Hakonarson

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastroenterology, 2016. 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
1.2field-weighted citation impact, top 17% 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, 8 citations in OpenAlex.

  1. Review
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

3 authors at 1 institution in 2 countries.

Jin LiJin Li, Hakon Hakonarson, Center for Applied Genomics, Abramson Research Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.
Zhi WeiJin Li, Hakon Hakonarson, Center for Applied Genomics, Abramson Research Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.
Hakon HakonarsonJin Li, Hakon Hakonarson, Center for Applied Genomics, Abramson Research Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic factors play an important role in the etiology of inflammatory bowel disease (IBD). The launch of genome-wide association study (GWAS) represents a landmark in the genetic study of human complex disease. Concurrently, computational methods have undergone rapid development during the past a few years, which led to the identification of numerous disease susceptibility loci. IBD is one of the successful examples of GWAS and related analyses. A total of 163 genetic loci and multiple signaling pathways have been identified to be associated with IBD. Pleiotropic effects were found for many of these loci; and risk prediction models were built based on a broad spectrum of genetic variants. Important gene-gene, gene-environment interactions and key contributions of gut microbiome are being discovered. Here we will review the different types of analyses that have been applied to IBD genetic study, discuss the computational methods for each type of analysis, and summarize the discoveries made in IBD research with the application of these methods.

Indexed as

Genetic LociGenetic MarkersAnimalsColitis, UlcerativeCrohn DiseaseDatabases, GeneticGastrointestinal MicrobiomeGene-Environment InteractionGene Expression RegulationGene Regulatory NetworksGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHost-Pathogen InteractionsHumansGenetic MarkersComputational methodsGene-environment interactionGene-gene interactionGenome-wide association studyInflammatory bowel diseasePathway analysisPleiotropyRisk prediction

Identifiers

PMID26811639
PMCPMC4716047
OpenAlexW2416756397

What OpenQuestion holds

Textmetadata
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.