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 …

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 …

Modern high-throughput experiments provide us with numerous potential associations
between genes and diseases. Experimental validation of all the discovered associations, let …

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 …

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 …

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 …

While candidate gene association studies continue to be the most practical and frequently
employed approach in disease gene investigation for complex disorders, selecting suitable …

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 …

Candidate gene identification is typically labour intensive, involving laboratory experiments
required to corroborate or disprove any hypothesis for a nominated candidate gene being …

Disease gene prioritization aims to suggest potential implications of genes in disease
susceptibility. Often accomplished in a guilt-by-association scheme, promising candidates …