Evidence map›Paper›PMID 27577545›Full record

ArticleEuropean journal of human genetics : EJHG2016

A pathway-centric approach to rare variant association analysis.

Tom G Richardson, Nicholas J Timpson, Colin Campbell, Tom R Gaunt

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genetic Analysis of Functional Rare Germline Variants across Nine Cancer Types from an Electronic Health Record Linked Biobank.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. Genetic Epidemiology of Complex Phenotypes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. 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

4 authors.

Tom G RichardsonMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK.
Nicholas J TimpsonMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK.
Colin CampbellIntelligent Systems Laboratory, University of Bristol, Bristol, UK.
Tom R GauntMRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK. Tom.Gaunt@bristol.ac.uk.ORCID http://orcid.org/0000-0003-0924-3247

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/8Wellcome Trust 102215Wellcome Trust 202802/Z/16/Z
6 · The paper itself

Abstract

Current endeavours in rare variant analysis are typically underpowered when investigating association signals from individual genes. We undertook an approach to rare variant analysis which utilises biological pathway information to analyse functionally relevant genes together. Conventional filtering approaches for rare variant analysis are based on variant consequence and are therefore confined to coding regions of the genome. Therefore, we undertook a novel approach to this process by obtaining functional annotations from the Combined Annotation Dependent Depletion (CADD) tool, which allowed potentially deleterious variants from intronic regions of genes to be incorporated into analyses. This work was undertaken using whole-genome sequencing data from the UK10K project. Rare variants from the KEGG pathway for arginine and proline metabolism were collectively associated with systolic blood pressure (P=3.32x10

Indexed as

Genetic Association StudiesGenetic Diseases, InbornGenome, HumanBiosynthetic PathwaysGenotypeHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID27577545
PMCPMC5136291

What OpenQuestion holds

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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.