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Mkaouar R, Riahi Z, Marrakchi J, Mezzi N, Romdhane L, Boujemaa M, Dallali H, Sayeb M, Lahbib S, Jaouadi H, Boudabbous H, Zekri L, Chargui M, Messaoud O, Elyounsi M, Kraoua I, Zaouak A, Turki I, Mokni M, Boucher S, Petit C, Giraudet F, Mbarek C, Besbes G, Halayem S, Zainine R, Turki H, Tounsi A, Bonnet C, Mrad R, Abdelhak S, Trabelsi M, Charfeddine C. Current phenotypic and genetic spectrum of syndromic deafness in Tunisia: paving the way for precision auditory health. Front Genet 2024; 15:1384094. [PMID: 38711914 PMCID: PMC11072975 DOI: 10.3389/fgene.2024.1384094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 03/15/2024] [Indexed: 05/08/2024] Open
Abstract
Hearing impairment (HI) is a prevalent neurosensory condition globally, impacting 5% of the population, with over 50% of congenital cases attributed to genetic etiologies. In Tunisia, HI underdiagnosis prevails, primarily due to limited access to comprehensive clinical tools, particularly for syndromic deafness (SD), characterized by clinical and genetic heterogeneity. This study aimed to uncover the SD spectrum through a 14-year investigation of a Tunisian cohort encompassing over 700 patients from four referral centers (2007-2021). Employing Sanger sequencing, Targeted Panel Gene Sequencing, and Whole Exome Sequencing, genetic analysis in 30 SD patients identified diagnoses such as Usher syndrome, Waardenburg syndrome, cranio-facial-hand-deafness syndrome, and H syndrome. This latter is a rare genodermatosis characterized by HI, hyperpigmentation, hypertrichosis, and systemic manifestations. A meta-analysis integrating our findings with existing data revealed that nearly 50% of Tunisian SD cases corresponded to rare inherited metabolic disorders. Distinguishing between non-syndromic and syndromic HI poses a challenge, where the age of onset and progression of features significantly impact accurate diagnoses. Despite advancements in local genetic characterization capabilities, certain ultra-rare forms of SD remain underdiagnosed. This research contributes critical insights to inform molecular diagnosis approaches for SD in Tunisia and the broader North-African region, thereby facilitating informed decision-making in clinical practice.
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Affiliation(s)
- Rahma Mkaouar
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Zied Riahi
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Jihene Marrakchi
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Department of Otorhinolaryngology, District Hospital of Menzel Bourguiba, Bizerte, Tunisia
| | - Nessrine Mezzi
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Department of Biology, Faculty of Sciences of Bizerte, Université Tunis Carthage, Tunis, Tunisia
| | - Lilia Romdhane
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Department of Biology, Faculty of Sciences of Bizerte, Université Tunis Carthage, Tunis, Tunisia
| | - Maroua Boujemaa
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Hamza Dallali
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Genetic Typing Service, Institut Pasteur of Tunis, Tunis, Tunisia
| | - Marwa Sayeb
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Saida Lahbib
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Hager Jaouadi
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Marseille Medical Genetics (MMG) U1251, Aix Marseille Université, INSERM, Marseille, France
| | - Hela Boudabbous
- Department of Pediatrics, La Rabta Hospital, Tunis, Tunisia
- Laboratory of Hereditary Diseases of the Metabolism Investigation and Patients Management, Faculty of Medicine in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Department of Epidemiology and Public Health, Directorate General of Military Health, Faculty of Medicine in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Lotfi Zekri
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- ICHARA Association (International Research Institute on Sign Language), Tunis, Tunisia
| | - Mariem Chargui
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Olfa Messaoud
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Meriem Elyounsi
- Department of Congenital and Hereditary Diseases, Charles Nicolle Hospital in Tunis, Tunis, Tunisia
- LR99ES10 Laboratory of Human Genetics, Faculty of Medicine in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Ichraf Kraoua
- Child and Adolescent Neurology Department of Neurology, National Institute of Neurology, Tunis, Tunisia
- LR18SP04 Department of Child Neurology, National Institute Mongi Ben Hmida of Neurology in Tunis. University of Tunis El Manar, Tunis, Tunisia
| | - Anissa Zaouak
- Department of Dermatology, Habib Thameur Hospital, Research Unit Genodermatoses and Cancers LR12SP03, Tunis, Tunisia
| | - Ilhem Turki
- Child and Adolescent Neurology Department of Neurology, National Institute of Neurology, Tunis, Tunisia
- LR18SP04 Department of Child Neurology, National Institute Mongi Ben Hmida of Neurology in Tunis. University of Tunis El Manar, Tunis, Tunisia
| | - Mourad Mokni
- Service de dermatologie, Hôpital La Rabta, Unité de recherche UR 12SP07, Hôpital La Rabta, Tunis, Tunisia
| | - Sophie Boucher
- Service d’ORL et chirurgie cervico-faciale, CHU d’Angers, Angers, France
- Equipe Mitolab, Institut Mitovasc, CNRS UMR6015, UMR Inserm 1083, Université d’Angers, Angers, France
| | - Christine Petit
- Institut Pasteur, Université Paris Cité, Inserm UA06, Institut de l’Audition, Paris, France
- Collège de France, Paris, France
| | - Fabrice Giraudet
- Unité Mixte de Recherche (UMR) 1107, INSERM, Clermont-Ferrand, France
- Centre Auditif SoluSons, Clermont-Ferrand, France
| | - Chiraz Mbarek
- ENT Department, Habib Thameur Hospital, Tunis, Tunisia
| | - Ghazi Besbes
- Department of Otorhinolaryngology and Maxillofacial Surgery - La Rabta Hospital in Tunis, Tunis, Tunisia
| | - Soumeyya Halayem
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Service de pédopsychiatrie, Hôpital Razi, Faculté de Médecine de Tunis, Université Tunis el Manar, Tunis, Tunisia
| | - Rim Zainine
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
- Department of Otorhinolaryngology and Maxillofacial Surgery - La Rabta Hospital in Tunis, Tunis, Tunisia
| | - Hamida Turki
- Dermatology Department Hedi Chaker University Hospital, Sfax University Sfax Tunisia, Tunis, Tunisia
| | | | - Crystel Bonnet
- Institut Pasteur, Université Paris Cité, Inserm UA06, Institut de l’Audition, Paris, France
| | - Ridha Mrad
- Department of Congenital and Hereditary Diseases, Charles Nicolle Hospital in Tunis, Tunis, Tunisia
- LR99ES10 Laboratory of Human Genetics, Faculty of Medicine in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Mediha Trabelsi
- Department of Congenital and Hereditary Diseases, Charles Nicolle Hospital in Tunis, Tunis, Tunisia
- LR99ES10 Laboratory of Human Genetics, Faculty of Medicine in Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Cherine Charfeddine
- Laboratory of Biomedical Genomics and Oncogenetics LR16IPT05, Pasteur Institute in Tunis, University of Tunis El Manar, Tunis, Tunisia
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Romdhane L, Kefi S, Mezzi N, Abassi N, Jmel H, Romdhane S, Shan J, Chouchane L, Abdelhak S. Ethnic and functional differentiation of copy number polymorphisms in Tunisian and HapMap population unveils insights on genome organizational plasticity. Sci Rep 2024; 14:4654. [PMID: 38409353 PMCID: PMC10897484 DOI: 10.1038/s41598-024-54749-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/15/2024] [Indexed: 02/28/2024] Open
Abstract
Admixture mapping has been useful in identifying genetic variations linked to phenotypes, adaptation and diseases. Copy number variations (CNVs) represents genomic structural variants spanning large regions of chromosomes reaching several megabases. In this investigation, the "Canary" algorithm was applied to 102 Tunisian samples and 991 individuals from eleven HapMap III populations to genotype 1279 copy number polymorphisms (CNPs). In this present work, we investigate the Tunisian population structure using the CNP makers previously identified among Tunisian. The study revealed that Sub-Saharan African populations exhibited the highest diversity with the highest proportions of allelic CNPs. Among all the African populations, Tunisia showed the least diversity. Individual ancestry proportions computed using STRUCTURE analysis revealed a major European component among Tunisians with lesser contribution from Sub-Saharan Africa and Asia. Population structure analysis indicated the genetic proximity with Europeans and noticeable distance from the Sub-Saharan African and East Asian clusters. Seven genes harbouring Tunisian high-frequent CNPs were identified known to be associated with 9 Mendelian diseases and/or phenotypes. Functional annotation of genes under selection highlighted a noteworthy enrichment of biological processes to receptor pathway and activity as well as glutathione metabolism. Additionally, pathways of potential concern for health such as drug metabolism, infectious diseases and cancers exhibited significant enrichment. The distinctive genetic makeup of the Tunisians might have been influenced by various factors including natural selection and genetic drift, resulting in the development of distinct genetic variations playing roles in specific biological processes. Our research provides a justification for focusing on the exclusive genome organization of this population and uncovers previously overlooked elements of the genome.
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Affiliation(s)
- Lilia Romdhane
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.
- Department of Biology, Faculty of Sciences of Bizerte, University of Carthage, Zarzouna, Tunisia.
| | - Sameh Kefi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Nessrine Mezzi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Najla Abassi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Haifa Jmel
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Safa Romdhane
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Jingxuan Shan
- Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Education City-Qatar Foundation, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, USA
- Genetic Intelligence Laboratory, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha, Qatar
| | - Lotfi Chouchane
- Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Education City-Qatar Foundation, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, USA
- Genetic Intelligence Laboratory, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha, Qatar
| | - Sonia Abdelhak
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
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The coefficients of inbreeding revealed by ROH study among inbred individuals belonging to each type of the first cousin marriage: A preliminary report from North India. Genes Genomics 2023; 45:813-825. [PMID: 36807878 DOI: 10.1007/s13258-023-01367-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 01/27/2023] [Indexed: 02/23/2023]
Abstract
BACKGROUND Genome-wide runs of homozygosity (ROH) are appropriate to estimate genomic inbreeding, determine population history, unravel the genetic architecture of complex traits and disorders. OBJECTIVE The study sought to investigate and compare the actual proportion of homozygosity or autozygosity in the genomes of progeny of four subtypes of first cousin mating in humans, using both pedigree and genomic measures for autosomes and sex chromosomes. METHODS For this purpose, Illumina Global Screening Array-24 v1.0 BeadChip followed by cyto-ROH analysis through Illumina Genome Studio was used to characterise the homozygosity in five participants from North Indian state (Uttar Pradesh). PLINK v.1.9 software was used to estimate the genomic inbreeding coefficients viz. ROH-based inbreeding estimate (FROH) and homozygous loci-based inbreeding estimate (FHOM). RESULTS A total of 133 ROH segments were detected with maximum number and genomic coverage in Matrilateral Parallel (MP) type and minimum in outbred individual. ROH pattern revealed that MP type has a higher degree of homozygosity than other subtypes. The comparison of FROH, FHOM, and pedigree-based inbreeding estimate (FPED) showed some difference in theoretical and realised proportion of homozygosity for sex-chromosomal loci but not for autosome for each type of consanguinity. CONCLUSIONS This is the very first study to compare and estimate the pattern of homozygosity among the kindreds of first cousin unions. However, a greater number of individuals from each type of marriage is required for statistical inference of no difference between theoretical and realized homozygosity among different degrees of inbreeding prevalent in humans worldwide.
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Chikhaoui A, Kraoua I, Calmels N, Bouchoucha S, Obringer C, Zayoud K, Montagne B, M’rad R, Abdelhak S, Laugel V, Ricchetti M, Turki I, Yacoub-Youssef H. Heterogeneous clinical features in Cockayne syndrome patients and siblings carrying the same CSA mutations. Orphanet J Rare Dis 2022; 17:121. [PMID: 35248096 PMCID: PMC8898519 DOI: 10.1186/s13023-022-02257-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 02/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background Cockayne syndrome (CS) is a rare autosomal recessive disorder caused by mutations in ERCC6/CSB or ERCC8/CSA that participate in the transcription-coupled nucleotide excision repair (TC-NER) of UV-induced DNA damage. CS patients display a large heterogeneity of clinical symptoms and severities, the reason of which is not fully understood, and that cannot be anticipated in the diagnostic phase. In addition, little data is available for affected siblings, and this disease is largely undiagnosed in North Africa. Methods We report here the clinical description as well as genetic and functional characterization of eight Tunisian CS patients, including siblings. These patients, who belonged to six unrelated families, underwent complete clinical examination and biochemical analyses. Sanger sequencing was performed for the recurrent mutation in five families, and targeted gene sequencing was done for one patient of the sixth family. We also performed Recovery RNA Synthesis (RRS) to confirm the functional impairment of DNA repair in patient-derived fibroblasts. Results Six out of eight patients carried a homozygous indel mutation (c.598_600delinsAA) in exon 7 of ERCC8, and displayed a variable clinical spectrum including between siblings sharing the same mutation. The other two patients were siblings who carried a homozygous splice-site variant in ERCC8 (c.843+1G>C). This last pair presented more severe clinical manifestations, which are rarely associated with CSA mutations, leading to gastrostomy and hepatic damage. Impaired TC-NER was confirmed by RRS in six tested patients. Conclusions This study provides the first deep characterization of case series of CS patients carrying CSA mutations in North Africa. These mutations have been described only in this region and in the Middle-East. We also provide the largest characterization of multiple unrelated patients, as well as siblings, carrying the same mutation, providing a framework for dissecting elusive genotype–phenotype correlations in CS. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-022-02257-1.
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Hamdi Y, Boujemaa M, Mighri N, Mejri N, Jaidane O, Ben Nasr S, Bouaziz H, Hassouna JB, Zribi A, Berrazaga Y, Rachdi H, Daoud N, El Benna H, Labidi S, Haddaoui A, Rahal K, Benna F, Boussen H, Abdelhak S, Boubaker S. Identification of BRCA2 Cis Double Heterozygous Breast Cancer Cases Using Whole Exome Sequencing: Phenotypic Expression and Impact on Personalized Oncology. Front Genet 2021; 12:674990. [PMID: 34456966 PMCID: PMC8397457 DOI: 10.3389/fgene.2021.674990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 07/08/2021] [Indexed: 12/24/2022] Open
Abstract
BRCA1 and BRCA2 are the most commonly mutated breast cancer susceptibility genes that convey a high risk of breast and ovarian cancer. Most BRCA1 or BRCA2 mutation carriers have inherited a single heterozygous mutation. In recent years, very rare cases with biallelic or trans double heterozygous mutations on BRCA1 and or BRCA2 have been identified and seem to be associated with distinctive phenotypes. Given that this genotype-phenotype correlation in cancer predisposing hereditary conditions is of relevance for oncological prevention and genetic testing, it is important to investigate these rare BRCA genotypes for better clinical management of BRCA mutation carriers. Here we present the first report on Cis double heterozygosity (Cis DH) on BRCA2 gene identified using Whole exome sequencing (WES) in a Tunisian family with two BRCA2 mutations namely: c.632-1G>A and c.1310_1313DelAAGA that are both reported as pathogenic in ClinVar database. Subsequent analysis in 300 high-risk Tunisian breast cancer families detected this Cis double heterozygous genotype in 8 additional individuals belonging to 5 families from the same geographic origin suggesting a founder effect. Moreover, the observed Cis DH seems to be associated with an early age of onset (mean age = 35.33 years) and severe phenotype of the disease with high breast cancer grade and multiple cancer cases in the family. The identification of unusual BRCA genotypes in this Tunisian cohort highlights the importance of performing genetic studies in under-investigated populations. This will also potentially help avoiding erroneous classifications of genetic variants in African population and therefore avoiding clinical misdiagnosis of BRCA related cancers. Our findings will also have an impact on the genetic testing and the clinical management of North African breast cancer patients as well as patients from different other ethnic groups in regard to several emerging target therapies such as PARP inhibitors.
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Affiliation(s)
- Yosr Hamdi
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Laboratory of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Maroua Boujemaa
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Najah Mighri
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Nesrine Mejri
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | - Olfa Jaidane
- Surgical Oncology Department, Salah Azaiez Institute of Cancer, Tunis, Tunisia
| | - Sonia Ben Nasr
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Department of Medical Oncology, Military Hospital, Tunis, Tunisia
| | - Hanen Bouaziz
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Surgical Oncology Department, Salah Azaiez Institute of Cancer, Tunis, Tunisia
| | - Jamel Ben Hassouna
- Surgical Oncology Department, Salah Azaiez Institute of Cancer, Tunis, Tunisia
| | - Aref Zribi
- Department of Medical Oncology, Military Hospital, Tunis, Tunisia
| | - Yossra Berrazaga
- Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | - Haifa Rachdi
- Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | - Nouha Daoud
- Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | - Houda El Benna
- Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | - Soumaya Labidi
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | | | - Khaled Rahal
- Surgical Oncology Department, Salah Azaiez Institute of Cancer, Tunis, Tunisia
| | - Farouk Benna
- Department of Radiation Oncology, University of Tunis, Tunis, Tunisia
| | - Hamouda Boussen
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Medical Oncology Department, Abderrahmen Mami Hospital, Ariana, Tunisia
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Samir Boubaker
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.,Laboratory of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis, Tunisia
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Dzomba EF, Chimonyo M, Pierneef R, Muchadeyi FC. Runs of homozygosity analysis of South African sheep breeds from various production systems investigated using OvineSNP50k data. BMC Genomics 2021; 22:7. [PMID: 33407115 PMCID: PMC7788743 DOI: 10.1186/s12864-020-07314-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 12/07/2020] [Indexed: 12/28/2022] Open
Abstract
Background Population history, production system and within-breed selection pressure impacts the genome architecture resulting in reduced genetic diversity and increased frequency of runs of homozygosity islands. This study tested the hypothesis that production systems geared towards specific traits of importance or natural or artificial selection pressures influenced the occurrence and distribution of runs of homozygosity (ROH) in the South African sheep population. The Illumina OvineSNP50 BeadChip was used to genotype 400 sheep belonging to 13 breeds from South Africa representing mutton, pelt and mutton and wool dual-purpose breeds, including indigenous non-descript breeds that are reared by smallholder farmers. To get more insight into the autozygosity and distribution of ROH islands of South African breeds relative to global populations, 623 genotypes of sheep from worldwide populations were included in the analysis. Runs of homozygosity were computed at cut-offs of 1–6 Mb, 6–12 Mb, 12–24 Mb, 24–48 Mb and > 48 Mb, using the R package detectRUNS. The Golden Helix SVS program was used to investigate the ROH islands. Results A total of 121,399 ROH with mean number of ROH per animal per breed ranging from 800 (African White Dorper) to 15,097 (Australian Poll Dorset) were obtained. Analysis of the distribution of ROH according to their size showed that, for all breeds, the majority of the detected ROH were in the short (1–6 Mb) category (88.2%). Most animals had no ROH > 48 Mb. Of the South African breeds, the Nguni and the Blackhead Persian displayed high ROH based inbreeding (FROH) of 0.31 ± 0.05 and 0.31 ± 0.04, respectively. Highest incidence of common runs per SNP across breeds was observed on chromosome 10 with over 250 incidences of common ROHs. Mean proportion of SNPs per breed per ROH island ranged from 0.02 ± 0.15 (island ROH224 on chromosome 23) to 0.13 ± 0.29 (island ROH175 on chromosome 15). Seventeen (17) of the islands had SNPs observed in single populations (unique ROH islands). The MacArthur Merino (MCM) population had five unique ROH islands followed by Blackhead Persian and Nguni with three each whilst the South African Mutton Merino, SA Merino, White Vital Swakara, Karakul, Dorset Horn and Chinese Merino each had one unique ROH island. Genes within ROH islands were associated with predominantly metabolic and immune response traits and predomestic selection for traits such as presence or absence of horns. Conclusions Overall, the frequency and patterns of distribution of ROH observed in this study corresponds to the breed history and implied selection pressures exposed to the sheep populations under study. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07314-2.
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Affiliation(s)
- E F Dzomba
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa.
| | - M Chimonyo
- Discipline of Animal & Poultry Science; School of Agricultural, Earth & Environmental Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa
| | - R Pierneef
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort, 0110, South Africa
| | - F C Muchadeyi
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort, 0110, South Africa
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Origin and age of the causative mutations in KLC2, IMPA1, MED25 and WNT7A unravelled through Brazilian admixed populations. Sci Rep 2018; 8:16552. [PMID: 30410084 PMCID: PMC6224410 DOI: 10.1038/s41598-018-35022-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 10/23/2018] [Indexed: 12/13/2022] Open
Abstract
The mutation age and local ancestry of chromosomal segments harbouring mutations associated with autosomal recessive (AR) disorders in Brazilian admixed populations remain unknown; additionally, inbreeding levels for these affected individuals continue to be estimated based on genealogical information. Here, we calculated inbreeding levels using a runs of homozygosity approach, mutation age and local ancestry to infer the origin of each chromosomal segments containing disorder-causing mutations in KLC2, IMPA1, MED25 and WNT7A. Genotyped data were generated from 18 patients affected by AR diseases and combined to the 1000 genome project (1KGP) and Simons genome diversity project (SGDP) databases to infer local ancestry. We found a major European contribution for mutated haplotypes with recent mutation age and inbreeding values found only in Native American and Middle East individuals. These results contribute to identifying the origin of and to understanding how these diseases are maintained and spread in Brazilian and world populations.
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Lemes RB, Nunes K, Carnavalli JEP, Kimura L, Mingroni-Netto RC, Meyer D, Otto PA. Inbreeding estimates in human populations: Applying new approaches to an admixed Brazilian isolate. PLoS One 2018; 13:e0196360. [PMID: 29689090 PMCID: PMC5916862 DOI: 10.1371/journal.pone.0196360] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 04/11/2018] [Indexed: 02/06/2023] Open
Abstract
The analysis of genomic data (~400,000 autosomal SNPs) enabled the reliable estimation of inbreeding levels in a sample of 541 individuals sampled from a highly admixed Brazilian population isolate (an African-derived quilombo in the State of São Paulo). To achieve this, different methods were applied to the joint information of two sets of markers (one complete and another excluding loci in patent linkage disequilibrium). This strategy allowed the detection and exclusion of markers that biased the estimation of the average population inbreeding coefficient (Wright's fixation index FIS), which value was eventually estimated as around 1% using any of the methods we applied. Quilombo demographic inferences were made by analyzing the structure of runs of homozygosity (ROH), which were adapted to cope with a highly admixed population with a complex foundation history. Our results suggest that the amount of ROH <2Mb of admixed populations should be somehow proportional to the genetic contribution from each parental population.
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Affiliation(s)
- Renan B. Lemes
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Kelly Nunes
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Juliana E. P. Carnavalli
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Lilian Kimura
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Regina C. Mingroni-Netto
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Paulo A. Otto
- Department of Genetics and Evolutionary Biology, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- * E-mail:
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Veale AJ, Russell JC, King CM. The genomic ancestry, landscape genetics and invasion history of introduced mice in New Zealand. ROYAL SOCIETY OPEN SCIENCE 2018; 5:170879. [PMID: 29410804 PMCID: PMC5792881 DOI: 10.1098/rsos.170879] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 12/15/2017] [Indexed: 06/07/2023]
Abstract
The house mouse (Mus musculus) provides a fascinating system for studying both the genomic basis of reproductive isolation, and the patterns of human-mediated dispersal. New Zealand has a complex history of mouse invasions, and the living descendants of these invaders have genetic ancestry from all three subspecies, although most are primarily descended from M. m. domesticus. We used the GigaMUGA genotyping array (approximately 135 000 loci) to describe the genomic ancestry of 161 mice, sampled from 34 locations from across New Zealand (and one Australian city-Sydney). Of these, two populations, one in the south of the South Island, and one on Chatham Island, showed complete mitochondrial lineage capture, featuring two different lineages of M. m. castaneus mitochondrial DNA but with only M. m. domesticus nuclear ancestry detectable. Mice in the northern and southern parts of the North Island had small traces (approx. 2-3%) of M. m. castaneus nuclear ancestry, and mice in the upper South Island had approximately 7-8% M. m. musculus nuclear ancestry including some Y-chromosomal ancestry-though no detectable M. m. musculus mitochondrial ancestry. This is the most thorough genomic study of introduced populations of house mice yet conducted, and will have relevance to studies of the isolation mechanisms separating subspecies of mice.
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Affiliation(s)
- Andrew J. Veale
- Department of Environmental and Animal Sciences, Unitec, 139 Carrington Road, Auckland 1025, New Zealand
| | - James C. Russell
- School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand
| | - Carolyn M. King
- Environmental Research Institute, School of Science, University of Waikato, Private Bag 2105, Hamilton 3240, New Zealand
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10
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Kirkpatrick BE, Rashkin MD. Ancestry Testing and the Practice of Genetic Counseling. J Genet Couns 2016; 26:6-20. [DOI: 10.1007/s10897-016-0014-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 08/30/2016] [Indexed: 12/20/2022]
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11
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Creanza N, Feldman MW. Worldwide genetic and cultural change in human evolution. Curr Opin Genet Dev 2016; 41:85-92. [PMID: 27644074 DOI: 10.1016/j.gde.2016.08.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Revised: 08/04/2016] [Accepted: 08/19/2016] [Indexed: 01/04/2023]
Abstract
Both genetic variation and certain culturally transmitted phenotypes show geographic signatures of human demographic history. As a result of the human cultural predisposition to migrate to new areas, humans have adapted to a large number of different environments. Migration to new environments alters genetic selection pressures, and comparative genetic studies have pinpointed numerous likely targets of this selection. However, humans also exhibit many cultural adaptations to new environments, such as practices related to clothing, shelter, and food. Human culture interacts with genes and the environment in complex ways, and studying genes and culture together can deepen our understanding of human evolution.
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Affiliation(s)
- Nicole Creanza
- Department of Biology Stanford University, Gilbert Hall, 371 Serra Mall, Stanford, CA 94305, United States; Department of Biological Sciences, Vanderbilt University, 465 21st Ave. South, Nashville, TN 37212, United States.
| | - Marcus W Feldman
- Department of Biology Stanford University, Gilbert Hall, 371 Serra Mall, Stanford, CA 94305, United States
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