Identifying Rare Genetic Variants Associated With the Onset of Multiple Sclerosis

Rare variants have been considered may have larger effect size and more obvious functional consequence to complex disease, like MS. A population-based linkage analysis and a family-based whole-genome sequence analysis will be conducted by using a large-scale Genome-Wide Association Study (GWAS) dataset and the next generation whole genome sequencing data.

These analyses will require research into the leading edge of current bioinformatics and computational genetic methodologies. Once all potential variants have been identified bioinformatics and systems biology approaches will be required to determine which variants are likely to contribute to disease.

Research Groups

Related Diseases

Staff

Team Leaders

  • Professor Bruce Taylor (Principal Research Fellow)

Team Members

  • Dr Jac Charlesworth (Research Fellow)
  • Rui Lin (PhD Student)