Evidence map›Paper›PMID 23644824›Full record

ReviewInflammatory bowel diseases2013

How does genotype influence disease phenotype in inflammatory bowel disease?

Ashwin N Ananthakrishnan, Ramnik J Xavier

Open access · bronzeAbstract readReview
In one paragraph

Review in Inflammatory bowel diseases, 2013. 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
2.3field-weighted citation impact, top 12% 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, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

2 authors at 2 institutions in 1 country.

Ashwin N AnanthakrishnanDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA. aananthakrishnan@partners.org
Ramnik J Xavier
Broad Institute · USHarvard University · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
Universite de Montreal IBD Genetics Research CenterU01DK062432 · NIDDK · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI John D. Rioux · 2002 to 2026
$9.6M
Identification of the IBD genes on chromosomes 3p and 6pR01DK064869 · NIDDK · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI RIOUX, JOHN D. · 2003 to 2016
$7.8M
Genetic predictors of anti-TNF treatment response and infections in IBDK23DK097142 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ANANTHAKRISHNAN, ASHWIN N · 2012 to 2016
$846k
NIDDK NIH HHS K23 DK097142NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R01 DK064869NIDDK NIH HHS U01 DK062432
6 · The paper itself

Abstract

Inflammatory bowel diseases (Crohn's disease and ulcerative colitis) are chronic immunologically mediated diseases of the gut. Advances in genetics have revolutionized our understanding of the pathogenesis of these conditions with 163 risk loci identified, encompassing a variety of immunologic functions. There is substantial heterogeneity in the natural history of these diseases with respect to disease onset, course, and progression to complications. There are also significant variations in response to therapies and susceptibility to therapy-related and disease-related complications. An important need in the field is to identify predictors of disease course, complications, and likelihood of response and adverse events to allow for targeted therapeutic decision making. The genotype of an individual in constant and non-modifiable, and thus could potentially fulfill the role of important predictors of these outcomes. In this review, we discuss the existing literature on the prediction of various disease phenotypes in Crohn's disease and ulcerative colitis using underlying genotype. We also identify gaps in the literature and suggest future directions for research. There is need for large, multi-institutional, and international collaborative consortia with efficient and detailed cohort accrual, phenotypic definition, genotyping, and dynamic assessments of external (e.g., diet) and internal (microbiome) environment to allow us to progress toward personalized and precision medicine in the management of these complex diseases.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansInflammatory Bowel DiseasesPhenotype

Identifiers

PMID23644824
PMCPMC3720704
OpenAlexW2045929756

What OpenQuestion holds

Textmetadata
LicenceTDM
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.