Many known and novel disease genes have significant numbers of potentially disease-causing variants that do not meet the current threshold for a definitive genetic diagnosis. Parallel assessments of these genetic variants’ functional consequences can enhance our understanding of the underlying genetic basis of disease.
The following gene-list represents the genes that have been indicated as high priority genes for variant resolution by Australian diagnostic laboratories and clinicians.
Myosin Heavy Chain 7
2184 (60%)
Myosin Binding Protein C, Cardiac
1941 (50%)
Retinitis Pigmentosa 1-Like 1
690 (61%)
Dynein Axonemal Heavy Chain 11
1308 (24%)
Cadherin-Related 23
1692 (35%)
Myosin VIIA
1432 (34%)
Desmoplakin
2688 (56%)
Lysine Methyltransferase 2D
1893 (37%)
Collagen Type IV Alpha 4 Chain
759 (27%)
Low-Density Lipoprotein Receptor
1075 (33%)
SMAD Family Member 4
1085 (52%)
Endoglin
344 (33%)
Activin A Receptor Like Type 1
257 (27%)
Fibrillin-1
2685 (39%)
Complement Factor H
411 (53%)
Isocitrate Dehydrogenase 2
97 (50%)
Collagen Type VI Alpha 3 Chain
1893 (59%)
Sequestosome 1
355 (53%)
AT-Rich Interaction Domain 1B
615 (36%)
AT-Rich Interaction Domain 1A
468 (44%)
Glucokinase
416 (48%)
Hepatocyte Nuclear Factor 1 Alpha
285 (42%)
Step 1: Review the high-priority gene list and select your genes of interest via the REDCap survey.
Step 2: Receive a list of VUS from diagnostic labs for inclusion in your platform proposal within 2-6 weeks of submission.
Step 3: Submit your full proposal within 4 weeks of receiving the variant list using the form provided.
Step 4: Applications will be reviewed by the AFGN Scientific Review Committee.
No minimum amount is set for a single grant. The maximum funding for a single grant is $200,000. Budgets will be evaluated based on the complexity of the platform and number of variants being analysed.
Applications should consider the stringency of evidence required to elevate a variant from VUS (3) to likely pathogenic/pathogenic (4/5) in their proposal (see Brnich et al. Genome Medicine (2020) 12:3).
We encourage the use of existing resources. Phenomics Australia, an NCRIS-funded initiative, offers expertise in developing disease models.
For more information, contact John Parisot at j.parisot@therapeuticinnovation.com.au or visit:
In Vivo Genome Engineering & Disease Modelling
In Vitro Genome Engineering & Disease Modelling Service
Enquiries can be directed to: functional.genomics@mcri.edu.au.