期刊
SCIENTIFIC REPORTS
卷 12, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41598-022-20442-x
关键词
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资金
- Ministerio de Ciencia e Innovacion [RTC-2017-6471-1]
- Instituto de Salud Carlos III [CD19/00231]
- European Regional Development Funds `A way of making Europe' from the European Union
- Fundacion CajaCanarias
- Fundacion Bancaria La Caixa [2018PATRI20]
- Cabildo Insular de Tenerife [CGIEU0000219140]
- Instituto Tecnologico y de Energias Renovables (ITER) [OA17/008]
- Spanish Ministry of Education and Vocational Training [FPU16/01435]
The current inhabitants of the Canary Islands have a unique genetic makeup due to recent admixture events with African footprints, especially North African components. This study aims to develop a population-specific reference catalog of natural genetic variation in the Canary Islanders and explore the genetic differentiation between Europeans and North Africans. This resource will contribute to increasing diversity in genetic studies and enhancing the implementation of Precision Medicine.
The current inhabitants of the Canary Islands have a unique genetic makeup in the European diversity landscape due to the existence of African footprints from recent admixture events, especially of North African components (> 20%). The underrepresentation of non-Europeans in genetic studies and the sizable North African ancestry, which is nearly absent from all existing catalogs of worldwide genetic diversity, justify the need to develop CIRdb, a population-specific reference catalog of natural genetic variation in the Canary Islanders. Based on array genotyping of the selected unrelated donors and comparisons against available datasets from European, sub-Saharan, and North African populations, we illustrate the intermediate genetic differentiation of Canary Islanders between Europeans and North Africans and the existence of within-population differences that are likely driven by genetic isolation. Here we describe the overall design and the methods that are being implemented to further develop CIRdb. This resource will help to strengthen the implementation of Precision Medicine in this population by contributing to increase the diversity in genetic studies. Among others, this will translate into improved ability to fine map disease genes and simplify the identification of causal variants and estimate the prevalence of unattended Mendelian diseases.
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