El Hierro Genome Study: A Genomic and Health Study in an Isolated Canary Island Population.
Marta PugaJavier G SerranoElsa L GarcíaMario A González-CarracedoRubén Jiménez-CaninoMaria Pino-YanesRobert KarlssonPatrick F SullivanRosa Irene Fregel LorenzoPublished in: Journal of personalized medicine (2024)
El Hierro is the smallest and westernmost island of the Canary Islands, whose population derives from an admixture of different ancestral components and that has been subjected to genetic isolation. We established the "El Hierro Genome Study" to characterize the health status and the genetic composition of ~10% of the current population of the island, accounting for a total of 1054 participants. Detailed demographic and clinical data and a blood sample for DNA extraction were obtained from each participant. Genomic genotyping was performed with the Global Screening Array (Illumina). The genetic composition of El Hierro was analyzed in a subset of 416 unrelated individuals by characterizing the mitochondrial DNA (mtDNA) and Y-chromosome haplogroups and performing principal component analyses (PCAs). In order to explore signatures of isolation, runs of homozygosity (ROHs) were also estimated. Among the participants, high blood pressure, hypercholesterolemia, and diabetes were the most prevalent conditions. The most common mtDNA haplogroups observed were of North African indigenous origin, while the Y-chromosome ones were mainly European. The PCA showed that the El Hierro population clusters near 1000 Genomes' European population but with a shift toward African populations. Moreover, the ROH analysis revealed some individuals with an important portion of their genomes with ROHs exceeding 400 Mb. Overall, these results confirmed that the "El Hierro Genome" cohort offers an opportunity to study the genetic basis of several diseases in an unexplored isolated population.
Keyphrases
- copy number
- mitochondrial dna
- genome wide
- blood pressure
- type diabetes
- healthcare
- public health
- cardiovascular disease
- dna methylation
- mental health
- risk assessment
- metabolic syndrome
- deep learning
- skeletal muscle
- cell free
- climate change
- circulating tumor
- blood glucose
- cardiovascular events
- circulating tumor cells
- low density lipoprotein
- glycemic control