eLifeGeneticsPeer-reviewed journal article
Faroese Whole Genomes Provide Insight into Ancestry and Recent Selection
Iman HamidiD, Ólavur MortenseniD, Alba Refoyo-MartíneziD, Leivur Nattestad Lydersen, Anne‐Katrin EmdeiD, Melissa C. HendershottiD, Katrin Didriksen ApoliD, Guðrið AndorsdóttiriD, Jonas MeisneriD, Kaja A. WasikiD, Fernando RacimoiD, Stephane E. CasteliD, Noomi O. GregerseniD
Abstract
The Faroe Islands are home to descendants of a North Atlantic founder population with a unique history shaped by both migration and periods of relative isolation. Here, we investigate the genetic diversity, population structure, and demographic history of the islands by analyzing whole genome sequencing data from 40 participants in the Faroe Genome Project. This represents the first whole genome sequencing panel of this size from the Faroe Islands. We observed numerous putatively functional private alleles, including stop gain variants and high impact missense variants in the cohort. Faroese individuals had a higher proportion of their genomes contained in long runs of homozygosity than other European groups, including Finnish, suggesting a more recent or stronger bottleneck in the Faroese population. Signals of positive selection were identified at loci containing genes that play roles in vitamin D and dietary fat absorption and DNA repair, while increased diversity on lactase persistence haplotypes was observed. Fine-scale analysis of haplotype structure in present-day and ancient European genomes revealed genetic affinities with ancient Iron Age individuals from the North and West of Europe, providing evidence for potential contributions to the Faroese gene pool from Celtic and Viking populations as well as information about the temporal order in which these events happened. This study highlights the impact of evolutionary processes, such as ancient admixture, founder events, and positive selection, on the present-day genetic architecture of North Atlantic founder populations like the Faroe Islands.
- organism: human
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- research focus: fine-mapping
- approach: statistical model
- Citations
- 0
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