Evidence map›Paper›PMID 21085203›Full record

ReviewNature reviews. Genetics2010

Analysing biological pathways in genome-wide association studies.

Kai Wang, Mingyao Li, Hakon Hakonarson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 466 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
466citing papers in PubMed, 10 pooled it
–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

466 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  3. Pathway Analysis of Renal Cell Carcinoma Genome-Wide Association Studies Identifies Novel Associations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
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  12. Pathway and Kinase Analysis in Proteomics and Phosphoproteomics with rROMA.Methods in molecular biology (Clifton, N.J.) · 2027
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406 more citing papers are in PubMed but not listed here.

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.

Kai WangCenter for Applied Genomics, The Childrens Hospital of Philadelphia, Pennsylvania 19104, USA.
Mingyao Li
Hakon Hakonarson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association (GWA) studies have typically focused on the analysis of single markers, which often lacks the power to uncover the relatively small effect sizes conferred by most genetic variants. Recently, pathway-based approaches have been developed, which use prior biological knowledge on gene function to facilitate more powerful analysis of GWA study data sets. These approaches typically examine whether a group of related genes in the same functional pathway are jointly associated with a trait of interest. Here we review the development of pathway-based approaches for GWA studies, discuss their practical use and caveats, and suggest that pathway-based approaches may also be useful for future GWA studies with sequencing data.

Indexed as

Genome-Wide Association StudySignal TransductionAnimalsCrohn DiseaseGenetic Predisposition to DiseaseHumansInterleukin-12Interleukin-23Polymorphism, Single NucleotideInterleukin-12Interleukin-23

Identifiers

PMID21085203

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.