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Haidar M, Abbas FA, Alsaleh H, Haddrill PR. Population genetics and forensic utility of 23 autosomal PowerPlex Fusion 6C STR loci in the Kuwaiti population. Sci Rep 2021; 11:1865. [PMID: 33479300 PMCID: PMC7820400 DOI: 10.1038/s41598-021-81425-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 12/16/2020] [Indexed: 12/02/2022] Open
Abstract
This study evaluates the forensic utility of 23 autosomal short tandem repeat markers in 400 samples from the Kuwaiti population, of which four markers (D10S1248, D22S1045, D2S441 and SE33) are reported for the first time for Kuwait. All the markers were shown to exhibit no deviation from Hardy–Weinberg equilibrium, nor any linkage disequilibrium between and within loci, indicating that these loci are inherited independently, and their allele frequencies can be used to estimate match probabilities in the Kuwaiti population. The low combined match probability of 7.37 × 10–30 and the high paternity indices generated by these loci demonstrate the usefulness of the PowerPlex Fusion 6C kit for human identification in this population, as well as to strengthen the power of paternity testing. Off-ladder alleles were seen at several loci, and these were identified by examining their underlying nucleotide sequences. Principal component analysis (PCA) and STRUCTURE showed no genetic structure within the Kuwaiti population. However, PCA revealed a correlation between geographic and genetic distance. Finally, phylogenetic trees demonstrated a close relationship between Kuwaitis and Middle Easterners at a global level, and a recent common ancestry for Kuwait with its northern neighbours of Iraq and Iran, at a regional level.
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Affiliation(s)
- Mahdi Haidar
- Centre for Forensic Science, Department of Pure and Applied Chemistry, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, Scotland, UK. .,Kuwait Identification DNA Laboratory (KIDL), General Department of Criminal Evidence, Ministry of Interior, Kuwait City, Kuwait.
| | - Fatimah A Abbas
- Centre for Forensic Science, Department of Pure and Applied Chemistry, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, Scotland, UK.,Kuwait Identification DNA Laboratory (KIDL), General Department of Criminal Evidence, Ministry of Interior, Kuwait City, Kuwait
| | - Hussain Alsaleh
- Centre for Forensic Science, Department of Pure and Applied Chemistry, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, Scotland, UK.,Kuwait Identification DNA Laboratory (KIDL), General Department of Criminal Evidence, Ministry of Interior, Kuwait City, Kuwait
| | - Penelope R Haddrill
- Centre for Forensic Science, Department of Pure and Applied Chemistry, University of Strathclyde, 204 George Street, Glasgow, G1 1XW, Scotland, UK
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Ch. Kassab A, Alaqeel HFM, Messaoudi SA, Babu SR, Shahid SA, Chaudhary AR. Population data and genetic diversity analysis of 17 Y-STR loci in Saudi population. EGYPTIAN JOURNAL OF FORENSIC SCIENCES 2020. [DOI: 10.1186/s41935-020-00205-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The Y chromosome polymorphism has been widely studied for human migrations, population genetics, forensic applications, and paternity analysis. However, studies regarding genetic lineage and population genetic structure of the Y chromosome in different regions of Saudi Arabia are limited.
Aim
This study aimed to analyze the distribution of Y chromosome haplotypes in a sample of 125 native Saudi males from different geographic regions of Saudi Arabia and compare to previously published Y chromosome haplotype data from Saudi Arabia and some neighboring Arab populations.
Materials and methods
Buccal swabs were collected from 125 healthy unrelated native Saudi males from different geographic regions of Saudi Arabia. Genomic DNA was extracted by Chelex®100; 17 Y-STR loci were amplified using the AmpFℓlSTR Yfiler PCR amplification kit and detected on the 3130 Genetic AnalyzerTM. Allele frequency and gene diversity were calculated with online tool STRAF. The Saudi population data were compared with the neighboring populations using pairwise genetic distances and associated probability values were calculated using the Y Chromosome Haplotype Reference Database Website (YHRD) software.
Results and conclusion
One hundred six YSTR haplotypes and 102 YSTR alleles (excluding 4 null alleles) were identified having a discrimination capacity (DC) of 85.8%. The highest haplotype diversity (HD) and gene diversity (GD) were observed at the loci DYS 458 (0.817) and DYS385b (0.807), respectively. According to our results, the Iraqi and Qena (Egypt) populations appeared to have closer relatedness to the Saudi population as compared with Yemen. The UAE and Kuwait populations showed the same degree of relatedness to the Saudi population followed by Bahrain. On the contrary, the Adnanit and Qahtanit populations of Jordan demonstrated low genetic distance from the Saudi population. In short, studying a population sample of pure Saudi ethnicity enabled us to identify a unique set of haplotypes which may help in establishing genetic relatedness between Saudi and the neighboring Arab populations. The present paper, therefore, highlights the importance of ensuring ethnic originality of the study sample while conducting population genetics studies.
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Geographical structuring and low diversity of paternal lineages in Bahrain shown by analysis of 27 Y-STRs. Mol Genet Genomics 2020; 295:1315-1324. [PMID: 32588126 PMCID: PMC7524810 DOI: 10.1007/s00438-020-01696-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/08/2020] [Indexed: 11/30/2022]
Abstract
We have determined the distribution of Y-chromosomal haplotypes and predicted haplogroups in the ethnically diverse Kingdom of Bahrain, a small archipelago in the Arabian Gulf. Paternal population structure within Bahrain was investigated using the 27 Y-STRs (short tandem repeats) in the Yfiler Plus kit to generate haplotypes from 562 unrelated Bahraini males, sub-divided into four geographical regions—Northern, Capital, Southern and Muharraq. Yfiler Plus provided a significant improvement over the 17-locus Yfiler kit in discrimination capacity (from 77% to 87.5% overall), but discrimination capacity differed widely between regions from 98.4% in Muharraq to 75.2% in the Northern region, an unusually low value possibly resulting from recent rapid population expansion. Clusters of closely related male lineages were seen, with only 79.4% of donors displaying unique haplotypes and 59% of instances of shared haplotypes occurring within, rather than between, regions. Haplogroup prediction indicated diverse origins of the population with a predominance of haplogroups J2 and J1, both typical of the Arabian Peninsula, but also haplogroups such as B2 and E1b1a likely originating in Africa, and H, L and R2 likely indicative of migration from South Asia. Haplogroup frequencies differed significantly between regions, with J2 significantly more common in the Northern region compared with the Southern, possibly due to differential settlement by Baharna and Arabs. Our study shows that paternal lineage population structure can exist even over small geographical scales, and that highly discriminating genetic tools are required where rapid expansions have occurred within tightly bounded populations.
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Khubrani YM, Wetton JH, Jobling MA. Extensive geographical and social structure in the paternal lineages of Saudi Arabia revealed by analysis of 27 Y-STRs. Forensic Sci Int Genet 2017; 33:98-105. [PMID: 29220824 DOI: 10.1016/j.fsigen.2017.11.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 11/20/2017] [Accepted: 11/24/2017] [Indexed: 10/18/2022]
Abstract
Saudi Arabia's indigenous population is organized into patrilineal descent groups, but to date, little has been done to characterize its population structure, in particular with respect to the male-specific region of the Y chromosome. We have used the 27-STR Yfiler® Plus kit to generate haplotypes in 597 unrelated Saudi males, classified into five geographical regions (North, South, Central, East and West). Overall, Yfiler® Plus provides a good discrimination capacity of 95.3%, but this is greatly reduced (74.7%) when considering the reduced Yfiler® set of 17 Y-STRs, justifying the use of the expanded set of markers in this population. Comparison of the five geographical divisions reveals striking differences, with low diversity and similar haplotype spectra in the Central and Northern regions, and high diversity and similar haplotype spectra in the East and West. These patterns likely reflect the geographical isolation of the desert heartland of the peninsula, and the proximity to the sea of the Eastern and Western areas, and consequent historical immigration. We predicted haplogroups from Y-STR haplotypes, testing the performance of prediction by using a large independent set of Saudi Arabian Y-STR + Y-SNP data. Prediction indicated predominance (71%) of haplogroup J1, which was significantly more common in Central, Northern and Southern groups than in East and West, and formed a star-like expansion cluster in a median-joining network with an estimated age of ∼2800 years. Most of our 597 participants were sampled within Saudi Arabia itself, but ∼16% were sampled in the UK. Despite matching these two groups by home sub-region, we observed significant differences in haplotype and predicted haplogroup constitutions overall, and for most sub-regions individually. This suggests social structure influencing the probability of leaving Saudi Arabia, correlated with different Y-chromosome compositions. The UK-recruited sample is an inappropriate proxy for Saudi Arabia generally, and caution is needed when considering expatriate groups as representative of country of origin. Our study shows the importance of geographical and social structuring that may affect the utility of forensic databases and the interpretation of Y-STR profiles.
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Affiliation(s)
- Yahya M Khubrani
- Department of Genetics & Genome Biology, University of Leicester, University Road, Leicester, UK; Forensic Genetics Laboratory, General Administration of Criminal Evidence, Public Security, Ministry of Interior, Saudi Arabia
| | - Jon H Wetton
- Department of Genetics & Genome Biology, University of Leicester, University Road, Leicester, UK.
| | - Mark A Jobling
- Department of Genetics & Genome Biology, University of Leicester, University Road, Leicester, UK.
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Triki-Fendri S, Sánchez-Diz P, Rey-González D, Alfadhli S, Ayadi I, Ben Marzoug R, Carracedo Á, Rebai A. Genetic structure of the Kuwaiti population revealed by paternal lineages. Am J Hum Biol 2015; 28:203-12. [PMID: 26293354 DOI: 10.1002/ajhb.22773] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Revised: 06/18/2015] [Accepted: 07/25/2015] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE We analyzed the Y-chromosome haplogroup diversity in the Kuwaiti population to gain a more complete overview of its genetic landscape. METHOD A sample of 117 males from the Kuwaiti population was studied through the analysis of 22 Y-SNPs. The results were then interpreted in conjunction with those of other populations from the Middle East, South Asia, North and East Africa, and East Europe. RESULTS The analyzed markers allowed the discrimination of 19 different haplogroups with a diversity of 0.7713. J-M304 was the most frequent haplogroup in the Kuwaiti population (55.5%) followed by E-M96 (18%). They revealed a genetic homogeneity between the Kuwaiti population and those of the Middle East (FST = 6.1%, P-value < 0.0001), although a significant correlation between genetic and geographic distances was found (r = 0.41, P-value = 0.009). Moreover, the nonsignificant pairwise FST genetic distances between the Kuwait population on the one hand and the Arabs of Iran and those of Sudan on the other, corroborate the hypothesis of bidirectional gene flow between Arabia and both Iran and Sudan. CONCLUSION Overall, we have revealed that the Kuwaiti population has experienced significant gene flow from neighboring populations like Saudi Arabia, Iran, and East Africa. Therefore, we have confirmed that the population of Kuwait is genetically coextensive with those of the Middle East.
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Affiliation(s)
- Soumaya Triki-Fendri
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, BP1177 Route Sidi Mansour Km 6, Sfax, Tunisia
| | - Paula Sánchez-Diz
- Forensic Genetics Unit, Institute of Forensic Science, University of Santiago De Compostela, Santiago De Compostela, Galicia, Spain
| | - Danel Rey-González
- Forensic Genetics Unit, Institute of Forensic Science, University of Santiago De Compostela, Santiago De Compostela, Galicia, Spain
| | - Suad Alfadhli
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Kuwait University, Kuwait
| | - Imen Ayadi
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, BP1177 Route Sidi Mansour Km 6, Sfax, Tunisia
| | - Riadh Ben Marzoug
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, BP1177 Route Sidi Mansour Km 6, Sfax, Tunisia
| | - Ángel Carracedo
- Forensic Genetics Unit, Institute of Forensic Science, University of Santiago De Compostela, Santiago De Compostela, Galicia, Spain.,Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ahmed Rebai
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, BP1177 Route Sidi Mansour Km 6, Sfax, Tunisia
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Sequence and analysis of a whole genome from Kuwaiti population subgroup of Persian ancestry. BMC Genomics 2015; 16:92. [PMID: 25765185 PMCID: PMC4336699 DOI: 10.1186/s12864-015-1233-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 01/12/2015] [Indexed: 12/30/2022] Open
Abstract
Background The 1000 Genome project paved the way for sequencing diverse human populations. New genome projects are being established to sequence underrepresented populations helping in understanding human genetic diversity. The Kuwait Genome Project an initiative to sequence individual genomes from the three subgroups of Kuwaiti population namely, Saudi Arabian tribe; “tent-dwelling” Bedouin; and Persian, attributing their ancestry to different regions in Arabian Peninsula and to modern-day Iran (West Asia). These subgroups were in line with settlement history and are confirmed by genetic studies. In this work, we report whole genome sequence of a Kuwaiti native from Persian subgroup at >37X coverage. Results We document 3,573,824 SNPs, 404,090 insertions/deletions, and 11,138 structural variations. Out of the reported SNPs and indels, 85,939 are novel. We identify 295 ‘loss-of-function’ and 2,314 ’deleterious’ coding variants, some of which carry homozygous genotypes in the sequenced genome; the associated phenotypes include pharmacogenomic traits such as greater triglyceride lowering ability with fenofibrate treatment, and requirement of high warfarin dosage to elicit anticoagulation response. 6,328 non-coding SNPs associate with 811 phenotype traits: in congruence with medical history of the participant for Type 2 diabetes and β-Thalassemia, and of participant’s family for migraine, 72 (of 159 known) Type 2 diabetes, 3 (of 4) β-Thalassemia, and 76 (of 169) migraine variants are seen in the genome. Intergenome comparisons based on shared disease-causing variants, positions the sequenced genome between Asian and European genomes in congruence with geographical location of the region. On comparison, bead arrays perform better than sequencing platforms in correctly calling genotypes in low-coverage sequenced genome regions however in the event of novel SNP or indel near genotype calling position can lead to false calls using bead arrays. Conclusions We report, for the first time, reference genome resource for the population of Persian ancestry. The resource provides a starting point for designing large-scale genetic studies in Peninsula including Kuwait, and Persian population. Such efforts on populations under-represented in global genome variation surveys help augment current knowledge on human genome diversity. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1233-x) contains supplementary material, which is available to authorized users.
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Yang X, Al-Bustan S, Feng Q, Guo W, Ma Z, Marafie M, Jacob S, Al-Mulla F, Xu S. The influence of admixture and consanguinity on population genetic diversity in Middle East. J Hum Genet 2014; 59:615-22. [PMID: 25253659 DOI: 10.1038/jhg.2014.81] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Revised: 08/25/2014] [Accepted: 08/27/2014] [Indexed: 01/10/2023]
Abstract
The Middle East (ME) is an important crossroad where modern humans migrated 'out of Africa' and spread into Europe and Asia. After the initial peopling and long-term isolation leading to well-differentiated populations, the ME also had a crucial role in subsequent human migrations among Africa, Europe and Asia; thus, recent population admixture has been common in the ME. On the other hand, consanguinity, a well-known practice in the ME, often reduces genetic diversity and works in opposition to admixture. Here, we explored the degree to which admixture and consanguinity jointly affected genetic diversity in ME populations. Genome-wide single-nucleotide polymorphism data were generated in two representative ME populations (Arabian and Iranian), with comparisons made with populations worldwide. Our results revealed an overall higher genetic diversity in both ME populations relative to other non-African populations. We identified a much larger number of long runs of homozygosity in ME populations than in any other populations, which was most likely attributed to high levels of consanguineous marriages that significantly decreased both individual and population heterozygosity. Additionally, we were able to distinguish African, European and Asian ancestries in ME populations and quantify the impact of admixture and consanguinity with statistical approaches. Interestingly, genomic regions with significantly excessive ancestry from individual source populations are functionally enriched in olfactory pathways, which were suspected to be under natural selection. Our findings suggest that genetic admixture, consanguinity and natural selection have collectively shaped the genetic diversity of ME populations, which has important implications in both evolutionary studies and medical practices.
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Affiliation(s)
- Xiong Yang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max-Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | | | - Qidi Feng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max-Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wei Guo
- Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Zhiming Ma
- Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
| | - Makia Marafie
- Kuwait Medical Genetic Center, Maternity Hospital, Sulaibikhat, Kuwait
| | - Sindhu Jacob
- Department of Pathology, Faculty of Medicine, Health Sciences Center, Kuwait University, Safat, Kuwait
| | - Fahd Al-Mulla
- Department of Pathology, Faculty of Medicine, Health Sciences Center, Kuwait University, Safat, Kuwait
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max-Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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Alsmadi O, John SE, Thareja G, Hebbar P, Antony D, Behbehani K, Thanaraj TA. Genome at juncture of early human migration: a systematic analysis of two whole genomes and thirteen exomes from Kuwaiti population subgroup of inferred Saudi Arabian tribe ancestry. PLoS One 2014; 9:e99069. [PMID: 24896259 PMCID: PMC4045902 DOI: 10.1371/journal.pone.0099069] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2013] [Accepted: 05/10/2014] [Indexed: 01/19/2023] Open
Abstract
Population of the State of Kuwait is composed of three genetic subgroups of inferred Persian, Saudi Arabian tribe and Bedouin ancestry. The Saudi Arabian tribe subgroup traces its origin to the Najd region of Saudi Arabia. By sequencing two whole genomes and thirteen exomes from this subgroup at high coverage (>40X), we identify 4,950,724 Single Nucleotide Polymorphisms (SNPs), 515,802 indels and 39,762 structural variations. Of the identified variants, 10,098 (8.3%) exomic SNPs, 139,923 (2.9%) non-exomic SNPs, 5,256 (54.3%) exomic indels, and 374,959 (74.08%) non-exomic indels are 'novel'. Up to 8,070 (79.9%) of the reported novel biallelic exomic SNPs are seen in low frequency (minor allele frequency <5%). We observe 5,462 known and 1,004 novel potentially deleterious nonsynonymous SNPs. Allele frequencies of common SNPs from the 15 exomes is significantly correlated with those from genotype data of a larger cohort of 48 individuals (Pearson correlation coefficient, 0.91; p <2.2×10-16). A set of 2,485 SNPs show significantly different allele frequencies when compared to populations from other continents. Two notable variants having risk alleles in high frequencies in this subgroup are: a nonsynonymous deleterious SNP (rs2108622 [19:g.15990431C>T] from CYP4F2 gene [MIM:*604426]) associated with warfarin dosage levels [MIM:#122700] required to elicit normal anticoagulant response; and a 3' UTR SNP (rs6151429 [22:g.51063477T>C]) from ARSA gene [MIM:*607574]) associated with Metachromatic Leukodystrophy [MIM:#250100]. Hemoglobin Riyadh variant (identified for the first time in a Saudi Arabian woman) is observed in the exome data. The mitochondrial haplogroup profiles of the 15 individuals are consistent with the haplogroup diversity seen in Saudi Arabian natives, who are believed to have received substantial gene flow from Africa and eastern provenance. We present the first genome resource imperative for designing future genetic studies in Saudi Arabian tribe subgroup. The full-length genome sequences and the identified variants are available at ftp://dgr.dasmaninstitute.org and http://dgr.dasmaninstitute.org/DGR/gb.html.
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Affiliation(s)
- Osama Alsmadi
- Dasman Diabetes Institute, Dasman, Kuwait
- * E-mail: (TAT); (OA)
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Alsmadi O, Thareja G, Alkayal F, Rajagopalan R, John SE, Hebbar P, Behbehani K, Thanaraj TA. Genetic substructure of Kuwaiti population reveals migration history. PLoS One 2013; 8:e74913. [PMID: 24066156 PMCID: PMC3774671 DOI: 10.1371/journal.pone.0074913] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2013] [Accepted: 08/07/2013] [Indexed: 12/21/2022] Open
Abstract
The State of Kuwait is characterized by settlers from Saudi Arabia, Iran, and other regions of the Arabian Peninsula. The settlements and subsequent admixtures have shaped the genetics of Kuwait. High prevalence of recessive disorders and metabolic syndromes (that increase risk of diabetes) is seen in the peninsula. Understanding the genetic structure of its population will aid studies designed to decipher the underlying causes of these disorders. In this study, we analyzed 572,366 SNP markers from 273 Kuwaiti natives genotyped using the illumina HumanOmniExpress BeadChip. Model-based clustering identified three genetic subgroups with different levels of admixture. A high level of concordance (Mantel test, p=0.0001 for 9999 repeats) was observed between the derived genetic clusters and the surname-based ancestries. Use of Human Genome Diversity Project (HGDP) data to understand admixtures in each group reveals the following: the first group (Kuwait P) is largely of West Asian ancestry, representing Persians with European admixture; the second group (Kuwait S) is predominantly of city-dwelling Saudi Arabian tribe ancestry, and the third group (Kuwait B) includes most of the tent-dwelling Bedouin surnames and is characterized by the presence of 17% African ancestry. Identity by Descent and Homozygosity analyses find Kuwait's population to be heterogeneous (placed between populations that have large amount of ROH and the ones with low ROH) with Kuwait S as highly endogamous, and Kuwait B as diverse. Population differentiation FST estimates place Kuwait P near Asian populations, Kuwait S near Negev Bedouin tribes, and Kuwait B near the Mozabite population. FST distances between the groups are in the range of 0.005 to 0.008; distances of this magnitude are known to cause false positives in disease association studies. Results of analysis for genetic features such as linkage disequilibrium decay patterns conform to Kuwait's geographical location at the nexus of Africa, Europe, and Asia.
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Fadhlaoui-Zid K, Chennakrishnaiah S, Zemni R, Grinberg S, Herrera RJ, Benammar-Elgaaied A. Sousse, Tunisia: Tumultuous history and high Y-STR diversity. Electrophoresis 2012; 33:3555-63. [DOI: 10.1002/elps.201200361] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Revised: 08/08/2012] [Accepted: 08/13/2012] [Indexed: 11/10/2022]
Affiliation(s)
| | | | - Ramzi Zemni
- Laboratory of Immunogenetics; Faculty of Medicine of Sousse; University of Sousse; Tunisia
| | - Sagy Grinberg
- Department of Molecular and Human Genetics; College of Medicine; Florida International University; Miami; FL; USA
| | - Rene J. Herrera
- Department of Molecular and Human Genetics; College of Medicine; Florida International University; Miami; FL; USA
| | - Amel Benammar-Elgaaied
- Laboratory of Genetics; Immunology, and Human Pathologies; Faculty of Science of Tunis; University Tunis El Manar; Tunis; Tunisia
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Kharrat N, Abdelmouleh W, Abdelhedi R, AlFadhli S, Rebai A. The linkage disequilibrium pattern of the Angiotensin Converting Enzyme gene in Arabic and Asian population groups. Ann Hum Biol 2012; 39:538-40. [DOI: 10.3109/03014460.2012.713509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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