Genomic Landscape of the Mitochondrial Genome in the United Arab Emirates Native Population

Refining the Global Phylogeny of Mitochondrial N1a, X, and HV2 Haplogroups Based on Rare Mitogenomes from Croatian Isolates

Mitochondrial DNA (mtDNA) has been used for decades as a predominant tool in population genetics and as a valuable addition to forensic genetic research, owing to its unique maternal inheritance pattern that enables the tracing of individuals along the maternal lineage across numerous generations. The dynamic interplay between evolutionary forces, primarily genetic drift, bottlenecks, and the founder effect, can exert significant influence on genetic profiles. Consequently, the Adriatic islands have accumulated a subset of lineages that exhibits remarkable absence or rarity within other European populations. This distinctive genetic composition underscores the islands' potential as a significant resource in phylogenetic research, with implications reaching beyond regional boundaries to contribute to a global understanding. In the initial attempt to expand the mitochondrial forensic database of the Croatian population with haplotypes from small isolated communities, we sequenced mitogenomes of rare haplogroups from different Croatian island and mainland populations using next-generation sequencing (NGS). In the next step and based on the obtained results, we refined the global phylogeny of haplogroup N1a, HV2, and X by analyzing rare haplotypes, which are absent from the current phylogenetic tree. The trees were based on 16 novel and 52 previously published samples, revealing completely novel branches in the X and HV2 haplogroups and a new European cluster in the ancestral N1a variant, previously believed to be an exclusively African-Asian haplogroup. The research emphasizes the importance of investigating geographically isolated populations and their unique characteristics within a global context.

Spectrum of genetic disorders and gene variants in the United Arab Emirates national population: insights from the CTGA database

Like many other Arab countries, the United Arab Emirates (UAE) has a relatively high prevalence of genetic disorders. Here we present the first review and analysis of all genetic disorders and gene variants reported in Emirati nationals and hosted on the Catalogue for Transmission Genetics in Arabs (CTGA), an open-access database hosting bibliographic data on human gene variants associated with inherited or heritable phenotypes in Arabs. To date, CTGA hosts 665 distinct genetic conditions that have been described in Emiratis, 621 of which follow a clear Mendelian inheritance. Strikingly, over half of these are extremely rare according to global prevalence rates, predominantly with an autosomal recessive mode of inheritance. This is likely due to the relatively high consanguinity rates within the Emirati population. The 665 conditions include disorders that are unique to the Emirati population, as well as clearly monogenic disorders that have not yet been mapped to a causal genetic locus. We also describe 1,365 gene variants reported in Emiratis, most of which are substitutions and over half are classified as likely pathogenic or pathogenic. Of these, 235 had not been reported on the international databases dbSNP and Clinvar, as of December 2022. Further analysis of this Emirati variant dataset allows a comparison of clinical significance as reported by Clinvar and CTGA, where the latter is derived from the study cited. A total of 307 pathogenic/likely pathogenic variants from CTGA's Emirati dataset, were classified as benign, variants of uncertain significance, or were missing a clinical significance or had not been reported by Clinvar. In conclusion, we present here the spectrum of genetic disorders and gene variants reported in Emiratis. This review emphasizes the importance of ethnic databases such as CTGA in addressing the underrepresentation of Arab variant data in international databases and documenting population-specific discrepancies in variant interpretation, reiterating the value of such repositories for clinicians and researchers, especially when dealing with rare disorders.

Characterizing the diversity of MHC conserved extended haplotypes using families from the United Arab Emirates

Aside from its anthropological relevance, the characterization of the allele frequencies of genes in the human Major Histocompatibility Complex (MHC) and the combination of these alleles that make up MHC conserved extended haplotypes (CEHs) is necessary for histocompatibility matching in transplantation as well as mapping disease association loci. The structure and content of the MHC region in Middle Eastern populations remain poorly characterized, posing challenges when establishing disease association studies in ethnic groups that inhabit the region and reducing the capacity to translate genetic research into clinical practice. This study was conceived to address a gap of knowledge, aiming to characterize CEHs in the United Arab Emirates (UAE) population through segregation analysis of high-resolution, pedigree-phased, MHC haplotypes derived from 41 families. Twenty per cent (20.5%) of the total haplotype pool derived from this study cohort were identified as putative CEHs in the UAE population. These consisted of CEHs that have been previously detected in other ethnic groups, including the South Asian CEH 8.2 [HLA- C*07:02-B*08:01-DRB1*03:01-DQA1*05:01-DQB1*02:01 (H.F. 0.094)] and the common East Asian CEH 58.1 [HLA- C*03:02-B*58:01-DRB1*03:01- DQA1*05:01-DQB1*02:01 (H.F. 0.024)]. Additionally, three novel CEHs were identified in the current cohort, including HLA- C*15:02-B*40:06-DRB1*16:02-DQB1*05:02 (H.F. 0.035), HLA- C*16:02-B*51:01-DRB1*16:01-DQA1*01:02-DQB1*05:02 (H.F. 0.029), and HLA- C*03:02-B*58:01-DRB1*16:01-DQA1*01:02-DQB1*05:02 (H.F. 0.024). Overall, the results indicate a substantial gene flow with neighbouring ethnic groups in the contemporary UAE population including South Asian, East Asian, African, and European populations. Importantly, alleles and haplotypes that have been previously associated with autoimmune diseases (e.g., Type 1 Diabetes) were also present. In this regard, this study emphasizes that an appreciation for ethnic differences can provide insights into subpopulation-specific disease-related polymorphisms, which has remained a difficult endeavour.

Fine-Scale Genetic Structure in the United Arab Emirates Reflects Endogamous and Consanguineous Culture, Population History, and Geography

The indigenous population of the United Arab Emirates (UAE) has a unique demographic and cultural history. Its tradition of endogamy and consanguinity is expected to produce genetic homogeneity and partitioning of gene pools while population movements and intercontinental trade are likely to have contributed to genetic diversity. Emiratis and neighboring populations of the Middle East have been underrepresented in the population genetics literature with few studies covering the broader genetic history of the Arabian Peninsula. Here, we genotyped 1,198 individuals from the seven Emirates using 1.7 million markers and by employing haplotype-based algorithms and admixture analyses, we reveal the fine-scale genetic structure of the Emirati population. Shared ancestry and gene flow with neighboring populations display their unique geographic position while increased intra- versus inter-Emirati kinship and sharing of uniparental haplogroups, reflect the endogamous and consanguineous cultural traditions of the Emirates and their tribes.

Mitochondrial DNA (CA)n dinucleotide repeat variations in Sinhalese and Vedda populations in Sri Lanka

Sinhalese and Vedda people are respectively the major ethnic group and the descendants of the probably earliest inhabitants of Sri Lanka, both believed to have a long history of settlement on the island. However, very little information is available on the origin and possible migration patterns of the two populations. Some studies have focused on (CA) dinucleotide repeat variations located in the mitochondrial hypervariable region 3 (HVS3) (base pairs 514-524) as a useful biomarker to understand migration patterns of different populations. Hence, here we analyze these repeat variations in these two ethnic groups to understand their historical roots and possible patterns of gene flow. Blood samples were collected from healthy, maternally unrelated individuals (N = 109) and mitochondrial D-loop was amplified and sequenced. The (CA)₄ dinucleotide repeat in hypervariable region 3 was detected in the majority of Vedda samples while the remaining samples were defined by a (CA)₅ cluster. In contrast, the (CA)₅ repeat was the most frequent among Sinhalese followed by (CA)₄ and (CA)₇ repeats. Haplogroup diversity of (CA)₄ variation indicated that the majority of Sinhalese individuals grouped into the M30 haplogroup while Vedda clustered into the R5a2b and U7a2 haplogroups. No significant differences in diversity measures were observed among the two populations. However, Multidimensional Scaling indicated a separate clustering for aboriginal Vedda and contemporary Sinhalese populations. Results from this study can be used together with mitochondrial DNA information from hypervariable regions 1 and 2 to perform anthropological and forensic investigations in the two populations studied.

Heterogeneity in biomarkers, mitogenome and genetic disorders of the Arab population with special emphasis on large-scale whole-exome sequencing

More than 25 million DNA variations have been discovered as novel including major alleles from the Arab population. Exome studies on the Saudi genome discovered > 3000 novel nucleotide variants associated with > 1200 rare genetic disorders. Reclassification of many pathogenic variants in the Human Gene Mutation Database and ClinVar Database as benign through the Arab database facilitates building a detailed and comprehensive map of the human morbid genome. Intellectual disability comes first with the combined and observed carrier frequency of 0.06779 among Saudi Arabians; retinal dystrophy is the next highest. Genome studies have discovered interesting novel candidate disease marker variations in many genes from consanguineous families. More than 7 pathogenic variants in the C12orf57 gene are prominently associated with the etiology of developmental delay/intellectual impairment in Arab ancestries. Advances in large-scale genome studies open a new outlook on Mendelian genes and disorders. In the past half-dozen years, candidate genes of intellectual disability, neurogenetic disorders, blood and bleeding disorders and rare genetic diseases have been well documented through genomic medicine studies in combination with advanced computational biology applications. The Arab mitogenome exposed hundreds of variations in the mtDNA genome and ancestral sharing with Africa, the Near East and East Asia and its association with obesity. These recent discoveries in disease markers and molecular genetics of the Arab population will have a positive impact towards supporting genetic counsellors on reaching consanguineous families to manage stress linked to genetics and precision medicine. This narrative review summarizes the advances in molecular medical genetics and recent discoveries on pathogenic variants. Despite the fact that these initiatives are targeting the genetics and genomics of disorders prevalent in Arab populations, a lack of complete cooperation across the projects needed to be revisited to uncover the Arab population's prominent disease markers. This shows that further study is needed in genomics to fully comprehend the molecular abnormalities and associated pathogenesis that cause inherited disorders in Arab ancestries.

Genetic landscape of human mitochondrial genome using whole genome sequencing

Increasing evidences suggest that mitochondrial dysfunction is implicated in diseases and aging, and whole-genome sequencing (WGS) is the most unbiased method in analyzing the mitochondrial genome (mtDNA). However, the genetic landscape of mtDNA in the Chinese population has not been fully examined. Here, we described the genetic landscape of mtDNA using WGS data from Chinese individuals (n = 3241). We identified 3892 mtDNA variants, of which 3349 (86%) were rare variants. Interestingly, we observed a trend toward extreme heterogeneity of mtDNA variants. Our study observed a distinct purifying selection on mtDNA, which inhibits the accumulation of harmful heteroplasmies at the individual level: (1) mitochondrial dN/dS ratios were much less than 1; (2) the dN/dS ratio of heteroplasmies was higher than homoplasmies; (3) heteroplasmies had more indels and predicted deleterious variants than homoplasmies. Furthermore, we found that haplogroup M (20.27%) and D (20.15%) had the highest frequencies in the Chinese population, followed by B (18.51%) and F (16.45%). The number of variants per individual differed across haplogroup groups, with a higher number of homoplasmies for the M lineage. Meanwhile, mtDNA copy number was negatively correlated with age but positively correlated with the female sex. Finally, we developed an mtDNA variation database of Chinese populations called MTCards (http://genemed.tech/mtcards/) to facilitate the query of mtDNA variants in this study. In summary, these findings contribute to different aspects of understanding mtDNA, providing a better understanding of the genetic basis of mitochondrial-related diseases.