Ziel
Evolutionary change of gene copy number through gene duplication is a relatively pervasive phenomenon in eukaryotic genomes. However, for a subset of genes such changes are deleterious because they result in imbalances in the cell. Such dosage-sensitive genes have been increasingly implicated in disease, particularly through the association of copy number variants (CNVs) with pathogenicity.
In my lab we have previously discovered that many genes in the human genome which were retained after whole genome duplication (WGD) are refractory to gene duplication both over evolutionary timescales and within populations. These are expected characteristics of dosage-balanced genes. Many of these genes are implicated in human disease. I now propose to take a computational (dry-lab) approach to examine the evolution of dosage-balanced genes further and to develop a sophisticated model of evolutionary constraint of copy number. These models will enable the identification of dosage-balanced genes and their consideration as novel candidate disease loci.
Recognising and interpreting patterns of constraint is the cornerstone of molecular evolution. Through careful analysis of genome sequences with respect to gene duplication over evolutionary times and within populations, we will develop a formal and generalised model of copy-number evolution and constraint. We will use these models to identify candidate disease loci within pathogenic CNVs. We will also study the characteristics of known disease genes in order to identify novel candidate loci for dosage-dependent disease.
This is an ambitious and high impact project that has the potential to yield major insights into gene copy-number constraint and its relationship to complex disease.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
Aufforderung zur Vorschlagseinreichung
ERC-2012-StG_20111109
Andere Projekte für diesen Aufruf anzeigen
Finanzierungsplan
ERC-SG - ERC Starting GrantGastgebende Einrichtung
D02 CX56 Dublin
Irland