The involvement of genetic factors in the etiology of autism has been clearly established. We undertook a genome-wide search for regions containing susceptibility genes for autism in 12 subjects with childhood autism and related pervasive developmental disorders (PDDs) and 44 controls from the relatively isolated population of the Faroe Islands. In total, 601 microsatellite markers distributed throughout the human genome with an average distance of 5.80 cM were genotyped, including 502 markers in the initial scan. The Faroese population structure and genetic relatedness of cases and controls were also evaluated. Based on a combined approach, including an assumption-free test as implemented in CLUMP, Fisher's exact test for specific alleles and haplotypes, and IBD 0 probability calculations, we found association between autism and microsatellite markers in regions on 2q, 3p, 6q, 15q, 16p, and 18q. The most significant finding was on 3p25.3 (P T1 ¼ 0.00003 and P T4 ¼ 0.00007), which was also supported by other genetic studies. Furthermore, no evidence of population substructure was found, and a higher degree of relatedness among cases could not be detected, decreasing the risk of inflated P-values. Our data suggest that markers in these regions are in linkage disequilibrium with genes involved in the etiology of autism, and we hypothesize susceptibility genes for autism and related PDDs to be localized within these regions.

Historical, archaeological and linguistic sources suggest that the ancestors of the present day population in the Faroe Islands may have their origin in several different regions surrounding the North Atlantic Ocean. In this study we use binary and microsatellite markers of the Y chromosome to analyse genetic diversity in the Faroese population and to compare this with the distribution of genotypes in the putative ancestral populations. Using a combination of genetic distance measures, assignment and phylogenetic analyses, we find a high degree of similarity between the Faroese Y chromosomes and the Norwegian, Swedish and Icelandic Y chromosomes but also some similarity with the Scottish and Irish Y chromosomes. Diversity measures and estimates of effective population sizes also suggest that the original gene pool of the settlers have been influenced by random genetic drift, thus complicating direct comparisons with other populations. No extensive immigration from Iceland to the Faroe Islands can be documented in the historical record. We therefore hypothesise that the high degree of Y chromosome similarity between the two populations arose because they were colonised at approximately the same time by males originating from the same regions of Scandinavia and, to a lesser extent, from the British Isles.

Here we present results from FarGen Phase I exomes. This dataset is based on the FarGen cohort, which consists of 1,541 individuals from the isolated population of the Faroe Islands. The purpose of this cohort is to serve as a reference catalog of coding variants, and to conduct population genetic studies to better understand the genetic contribution to various diseases in the Faroese population. The first whole-exome data set comprise 465 individuals and a total of 148,267 genetic variants were discovered. Principle Component Analysis indicates that the population is isolated and weakly structured. The distribution of variants in various functional classes was compared with populations in the gnomAD dataset; the results indicated that the proportions were consistent across the cohorts, but probably due to a small sample size, the FarGen dataset contained relatively few rare variants. We identified 19 variants that are classified as pathogenic or likely pathogenic in ClinVar; several of these variants are associated with monogenetic diseases with increased prevalence in the Faroe Islands. The results support previous studies, which indicate that the Faroe Islands is an isolated and weakly structured population. Future studies may elucidate the significance of the 19 pathogenic variants that were identified. The FarGen Phase I dataset is an important step for genetic research in the Faroese population, and the next phase of FarGen will increase the sample size and broaden the scope.