A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases–schizophrenia as a case
Motivation: During the past decade, we have seen an exponential growth of vast amounts of
genetic data generated for complex disease studies. Currently, across a variety of complex …
genetic data generated for complex disease studies. Currently, across a variety of complex …
Association study of 167 candidate genes for schizophrenia selected by a multi-domain evidence-based prioritization algorithm and neurodevelopmental hypothesis
Integrating evidence from multiple domains is useful in prioritizing disease candidate genes
for subsequent testing. We ranked all known human genes (n= 3819) under linkage peaks …
for subsequent testing. We ranked all known human genes (n= 3819) under linkage peaks …
A survey of gene prioritization tools for mendelian and complex human diseases
O Zolotareva, M Kleine - Journal of integrative bioinformatics, 2019 - degruyter.com
Modern high-throughput experiments provide us with numerous potential associations
between genes and diseases. Experimental validation of all the discovered associations, let …
between genes and diseases. Experimental validation of all the discovered associations, let …
Recent approaches to the prioritization of candidate disease genes
NT Doncheva, T Kacprowski… - … : Systems Biology and …, 2012 - Wiley Online Library
Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in
particular, diseases. High‐throughput techniques are thus applied frequently to detect …
particular, diseases. High‐throughput techniques are thus applied frequently to detect …
An unbiased evaluation of gene prioritization tools
D Börnigen, LC Tranchevent… - …, 2012 - academic.oup.com
Motivation: Gene prioritization aims at identifying the most promising candidate genes
among a large pool of candidates—so as to maximize the yield and biological relevance of …
among a large pool of candidates—so as to maximize the yield and biological relevance of …
In silico gene prioritization by integrating multiple data sources
Identifying disease genes is crucial to the understanding of disease pathogenesis, and to
the improvement of disease diagnosis and treatment. In recent years, many researchers …
the improvement of disease diagnosis and treatment. In recent years, many researchers …
Computational approaches for human disease gene prediction and ranking
While candidate gene association studies continue to be the most practical and frequently
employed approach in disease gene investigation for complex disorders, selecting suitable …
employed approach in disease gene investigation for complex disorders, selecting suitable …
Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data
The etiology of schizophrenia (SCZ) is regarded as one of the most fundamental puzzles in
current medical research, and its diagnosis is limited by the lack of objective molecular …
current medical research, and its diagnosis is limited by the lack of objective molecular …
RETRACTED ARTICLE: Candidate gene prioritization
A Masoudi-Nejad, A Meshkin, B Haji-Eghrari… - Molecular genetics and …, 2012 - Springer
Candidate gene identification is typically labour intensive, involving laboratory experiments
required to corroborate or disprove any hypothesis for a nominated candidate gene being …
required to corroborate or disprove any hypothesis for a nominated candidate gene being …
Interactogeneous: disease gene prioritization using heterogeneous networks and full topology scores
Disease gene prioritization aims to suggest potential implications of genes in disease
susceptibility. Often accomplished in a guilt-by-association scheme, promising candidates …
susceptibility. Often accomplished in a guilt-by-association scheme, promising candidates …