Medical Genome Reference Bank

Providing a genomic reference bank of healthy aged individuals
About

One of the key challenges in the interpretation of whole genome sequencing for the diagnosis of inherited disease is in the discrimination of a single or small number of disease-causing variants from large numbers of non-disease causing variants.

To facilitate accurate diagnosis of and discovery of new genetic variants underpinning disease, the Medical Genome Reference Bank (MGRB) Program will sequence and analyse the genomes from ~4,000 healthy, older individuals to create a high quality database that is depleted of damaging genetic variants.

Funded by the NSW State Government, the MGRB leverages the Illumina Hiseq X Ten sequencing platform at the Garvan Institute’s Kinghorn Centre for Clinical Genomics (KCCG). Participants in the 45 and Up (Sax Institute) and Aspirin in Reducing Events in the Elderly (ASPREE) (Monash University) studies will be sequenced to provide a resource of lasting value for national and international health and medical researchers.

Cohorts
Cohort Demographics
ASPREE
The 45 and Up Study
Created with Highcharts 6.2.0 Age (yr) 050100
Created with Highcharts 6.2.0 Height (cm) 50100150200250
Created with Highcharts 6.2.0 Weight (kg) 050100150200
Created with Highcharts 6.2.0 Gender Female Female Male Male Male: 1352
Genetic Distance
Created with Highcharts 6.2.0 PC1 PC2 MGRB + 1000G PCA1 vs PCA2 EUR EAS AMR SAS AFR MGRB -0.2-0.100.10.20.3 -0.3-0.2-0.100.10.20.3
Created with Highcharts 6.2.0 PC1 PC3 MGRB + 1000G PCA1 vs PCA3 EUR EAS AMR SAS AFR MGRB -0.2-0.100.10.20.3 -0.3-0.2-0.100.10.2
Publications
Pinese M, Lacaze P, Rath EM, et al. The Medical Genome Reference Bank contains whole genome and phenotype data of 2570 healthy elderly. Nat Commun. 2020;11(1):435. Published 2020 Jan 23. doi:10.1038/s41467-019-14079-0 PubMed
Lacaze P, Pinese M, Kaplan W, et al. The Medical Genome Reference Bank: a whole-genome data resource of 4000 healthy elderly individuals. Rationale and cohort design. Eur J Hum Genet. 2019;27(2):308-316. doi:10.1038/s41431-018-0279-z PubMed