A1 Refereed original research article in a scientific journal
An assessment of prevalence of Type 1 CFI rare variants in European AMD, and why lack of broader genetic data hinders development of new treatments and healthcare access
Authors: Jones Amy V., Curtiss Darin, Harris Claire, Southerington Tom, Hautalahti Marco, Wihuri Pauli., Mäkelä Johanna, Kallionpää Roosa E., Makkonen Enni, Knopp Theresa, Mannermaa Arto, Mäkinen Erna, Moilanen Anne-Mari, Tezel Tongalp H., Waheed Nadia K., Arora Rashi, Crawford Courtney, Creuzot-Garcher Catherine, Csaky Karl, Devin Francois, Eichenbaum David, Ferrone Philip, Figueroa Marta, Flaxel Christina, Ghorayeb Ghassan, Gilmour David, Grisanti Salvatore, Guymer Robyn, Hall Edward, Heier Jeff, Ho Allen, Hoyng Carol, Issa Peter Charbel, Ivanova Tsveta, Kaluzny Bartlomiej, Khanani Ashad, Leveziel Nicolas, Maturi Raj, McKibbin Martin, Nielsen Jared, Schneiderman Todd, Spitzer Martin, Steele David, Suan Eric, Voleti Vinod, Wirthlin Robert
Publisher: Public Library of Science
Publication year: 2022
Journal: PLoS ONE
Volume: 17
Issue: 9
ISSN: 1932-6203
eISSN: 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0272260
Web address : https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0272260
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176624830
Purpose
Advanced age-related macular degeneration (AAMD) risk is associated with rare complement Factor I (FI) genetic variants associated with low FI protein levels (termed ‘Type 1’), but it is unclear how variant prevalences differ between AMD patients from different ethnicities.
Methods
Collective prevalence of Type 1 CFI rare variant genotypes were examined in four European AAMD datasets. Collective minor allele frequencies (MAFs) were sourced from the natural history study SCOPE, the UK Biobank, the International AMD Genomics Consortium (IAMDGC), and the Finnish Biobank Cooperative (FINBB), and compared to paired control MAFs or background population prevalence rates from the Genome Aggregation Database (gnomAD). Due to a lack of available genetic data in non-European AAMD, power calculations were undertaken to estimate the AAMD population sizes required to identify statistically significant association between Type 1 CFI rare variants and disease risk in different ethnicities, using gnomAD populations as controls.
Results
Type 1 CFI rare variants were enriched in all European AAMD cohorts, with odds ratios (ORs) ranging between 3.1 and 7.8, and a greater enrichment was observed in dry AMD from FINBB (OR 8.9, 95% CI 1.49–53.31). The lack of available non-European AAMD datasets prevented us exploring this relationship more globally, however a statistical association may be detectable by future sequencing studies that sample approximately 2,000 AAMD individuals from Ashkenazi Jewish and Latino/Admixed American ethnicities.
Conclusions
The relationship between Type 1 CFI rare variants increasing odds of AAMD are well established in Europeans, however the lack of broader genetic data in AAMD has adverse implications for clinical development and future commercialisation strategies of targeted FI therapies in AAMD. These findings emphasise the importance of generating more diverse genetic data in AAMD to improve equity of access to new treatments and address the bias in health care.
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