Generation and analysis of large data sets to perform high resolution analysis of functional genetic variation in the human genome
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An evolutionary perspective on human genetic variation, health and disease
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Pathogenic consequences and evolutionary role of chromosomal rearrangements and gene conversion
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Our aim is to understand the genetic aetiology of type 2 diabetes and obesity and the biological processes that underlie genetic predisposition.
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Our initial focus is in using SNPs to determine the extent of linkage disequilibrium across the genome and define common haplotypes in major populations
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Chromosome organisation and structure in human disease
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Integrated genome wide profiling of common traits: Genetics of cardiovascular and neuropsychiatric diseases
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Studying common neurological traits such as migraine and multiple sclerosis
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Identifying somatically acquired sequence variants/mutations and hence genes critical in the development of human cancers
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The Cardiogenics project aims at discovering genetic variations leading to coronary artery disease, thereby uncovering the underlying disease mechanisms and helping develop new treatments
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Statistical Genetics of Disease association, Drug response, and Ethnic Variation
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