Evidence map›Paper›PMID 23761965›Full record

ArticleBioinformatics and biology insights2013

Association between a multi-locus genetic risk score and inflammatory bowel disease.

Pingzhao Hu, Aleixo M Muise, Xiang Xing, John H Brumell, Mark S Silverberg, Wei Xu

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2013. 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
–field-weighted citation impact
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.

  1. Genetic and epigenetic regulation of intestinal fibrosis.United European gastroenterology journal · 2016
    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

6 authors.

Pingzhao HuThe Centre for Applied Genomics, The Hospital for Sick Children, 101 College Street, Toronto, ON, Canada.
Aleixo M Muise
Xiang Xing
John H Brumell
Mark S Silverberg
Wei Xu

Funding

Impact of Genetic Variability on Cellular Pathways and Host-Microbiome InteractioU01DK062423 · NIDDK · SINAI HEALTH SYSTEM · PI MARK S. SILVERBERG · 2002 to 2026
$7.5M
NIDDK NIH HHS U01 DK062423
6 · The paper itself

Abstract

To date, the utility of single genetic markers to improve disease risk assessment still explains only a small proportion of genetic variance for many complex diseases. This missing heritability may be explained by additional variants with weak effects. To discover and incorporate these additional genetic factors, statistical and computational methods must be evaluated and developed. We develop a multi-locus genetic risk score (GRS) based approach to analyze genes in NADPH oxidase complex which may result in susceptibility to development of inflammatory bowel disease (IBD). We find the complex is highly associated with IBD (P = 7.86 × 10(-14)) using the GRS-based association method. Similar results are also shown in permutation analysis (P = 6.65 × 10(-11)). Likelihood ratio test shows that the single nucleotide polymorphisms (SNPs) in the complex without nominal signals have significant contribution to the overall genetic effect within the complex (P = 0.015). Our results show that the multi-locus GRS association model can improve the genetic risk assessment on IBD by taking into account both confirmed and as yet unconfirmed disease susceptibility variants.

Indexed as

association analysisgenetic risk scoreinflammatory bowel diseasepermutation analysis

Identifiers

PMID23761965
PMCPMC3662393

What OpenQuestion holds

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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.