Centre for Biostatistics Seminar
|Dates:||9 July 2018|
|Times:||14:00 - 15:00|
|What is it:||Seminar|
|Organiser:||Faculty of Biology, Medicine and Health|
|Who is it for:||Adults|
Our next seminar talk is at 2pm on Monday 11 June, in Room G306A. Qian Liu will be speaking.
Genetic causal pathways: Mendelian randomization, fine-mapping and colocalization
A number of single nucleotide polymorphisms (SNPs) are found to be associated with certain clinical outcomes and exposures. To date, several statistical approaches have been developed with the aim to understand genetic causal pathways, which are of clinical importance.
Existing methods, such as Mendelian randomization, fine-mapping and colocalization, make the use of summary statistics from SNP-exposure and SNP-outcome association studies. Mendelian randomization is designed for estimating causal effect of the exposure on the outcome, using exposure associated SNPs as instruments. In recent applications, Fine-mapping and colocalization are tailored to quantify the likelihood of SNPs causal to both the exposure and the outcome in genetic regions. Despite the different underlying assumptions between fine-mapping and colocalization, we see similarities of the two approaches.
Mendelian randomization alone is insufficient to identify causal pathways starting from the SNP level. Recent research has proposed a method by combining Mendelian randomization with fine-mapping. We aim to compare the results from Mendelian randomization and fine-mapping with the former coupled with colocalization. In particular, we will make the use of publicly available summary data of BMI and diabetes from large studies, using both of the approaches, to explore underlying causal mechanisms of diabetes.
Role: Visiting Scholar
Organisation: School of Health Sciences
Travel and Contact Information
Jean McFarlane Building