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Article

Credibility analysis of putative disease-causing genes using bioinformatics.

PloS one - 1 Jan 2013

Abel Olubunmi, Powell John F, Andersen Peter M, Al-Chalabi Ammar

Abstract excerpt

BACKGROUND: Genetic studies are challenging in many complex diseases, particularly those with limited diagnostic certainty, low prevalence or of old age. The result is that genes may be reported as disease-causing with varying levels of evidence, and in some cases, the data may be so limited as to be indistinguishable from chance findings. When there are large numbers of such genes, an objective method for...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 23755159
DOI: 10.1371/journal.pone.0064899
PMCID: PMC3674010

Genes

ALS2
ANG
DAO
DCTN1
FIG4
FUS
NEFH
OPTN
SETX
SPG11
TAF15
TARDBP
VAPB
VCP

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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