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Ahlawat B, Kumar L, Cherian PJ, Sehrawat JS, Rai N, Thangaraj K. Deciphering the West Eurasian Genetic Footprints in Ancient South India. Genes (Basel) 2023; 14:963. [PMID: 37239323 PMCID: PMC10218305 DOI: 10.3390/genes14050963] [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: 03/05/2023] [Revised: 03/27/2023] [Accepted: 04/12/2023] [Indexed: 05/28/2023] Open
Abstract
Since 2006, Pattanam coastal village of the Ernakulam District in Kerala, India, has witnessed multi-disciplinary archaeological investigations in collaboration with leading research institutions across the world. The results confirm that the Pattanam site could be an integral part of the lost ancient port of Muziris, which, as per the material evidence from Pattanam and its contemporary sites, played an important role in the transoceanic exchanges between 100 BCE (Before Common Era) and 300 CE (Common Era). So far, the material evidence with direct provenance to the maritime exchanges related to ancient cultures of the Mediterranean, West Asian, Red Sea, African, and Asian regions have been identified at Pattanam. However, the genetic evidence supporting the impact of multiple cultures or their admixing is still missing for this important archaeological site of South India. Hence, in the current study, we tried to infer the genetic composition of the skeletal remains excavated from the site in a broader context of South Asian and worldwide maternal affinity. We applied the MassArray-based genotyping approach of mitochondrial makers and observed that ancient samples of Pattanam represent a mixed maternal ancestry pattern of both the West Eurasian ancestry and the South Asian ancestry. We observed a high frequency of West Eurasian haplogroups (T, JT, and HV) and South Asian-specific mitochondrial haplogroups (M2a, M3a, R5, and M6). The findings are consistent with the previously published and ongoing archaeological excavations, in which material remains from over three dozen of sites across the Indian Ocean, Red Sea, and Mediterranean littoral regions have been unearthed. This study confirms that people belonging to multiple cultural and linguistic backgrounds have migrated, probably settled, and eventually died on the South-western coast of India.
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Affiliation(s)
- Bhavna Ahlawat
- Department of Anthropology, Panjab University, Chandigarh 160014, India
- Birbal Sahni Institute of Palaeosciences, Lucknow 226007, India
| | - Lomous Kumar
- Birbal Sahni Institute of Palaeosciences, Lucknow 226007, India
- CSIR—Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500007, India
| | - Parayil John Cherian
- PAMA Institute for the Advancement of Transdisciplinary Archaeological Sciences, Pattanam Archaeological Site, Ernakulam 683522, India
- Kerala Council for Historical Research & Director Pattanam Excavations, Thiruvananthapuram 695003, India
| | | | - Niraj Rai
- Birbal Sahni Institute of Palaeosciences, Lucknow 226007, India
| | - Kumarasamy Thangaraj
- CSIR—Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500007, India
- Centre for DNA Fingerprinting and Diagnostics, Uppal, Hyderabad 500007, India
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Sikdar M. Complete mitochondrial DNA sequence tries to settle hitherto putative history of Kayastha population of India. Am J Hum Biol 2022; 35:e23851. [PMID: 36571462 DOI: 10.1002/ajhb.23851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/28/2022] [Accepted: 12/01/2022] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES Indian caste system is unique as it has an inimitable type of class system where the social ordering is done based on birth. Within the caste system, there is a distinct endogamous population known as the Kayastha, who have had inconclusive stratification records due to unidentified historical records. METHODS To gain a more inclusive view on the history and genetic affinities of Kayastha people, complete mitochondrial genomes from 15 individuals of a Kayastha population from North-western India have been sequenced. RESULTS Interestingly, three novel sub-clades (U2b2a, M3d2, and M33a3b) have been identified that represent unique Kayastha motifs. CONCLUSION The haplotype-based analysis suggests that the Kayastha population shares genetic affinities with the Indo-European and Sino-Tibetan populations found in the trans-Himalayan region. The FST based population comparison and the MDS plot indicates that Kayastha people have close maternal genetic affinity with the available genetic database of Brahmins, Kashmiris, and Tharus. The maternal genetic lineages among Kayastha population shows deep in situ origin that emerged much before settled life developed on this sub-continent. Both mtDNA and Y-chromosome markers, trace the genetic lineages of Kayastha population with Tharus, who regard themselves Kshatriya, corroborated by the oral history of the Kayasthas for their Kshatriya affiliation. It also validates genetic heritage of earliest settlers of India in both indigenous tribal and caste populations.
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Affiliation(s)
- Mithun Sikdar
- DNA Laboratory Unit, Anthropological Survey of India, Southern Regional Center, Mysore, India
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Mitochondrial DNA (CA) n dinucleotide repeat variations in Sinhalese and Vedda populations in Sri Lanka. Genetica 2022; 150:145-150. [PMID: 35141800 DOI: 10.1007/s10709-022-00150-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 01/27/2022] [Indexed: 11/04/2022]
Abstract
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.
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Contrasting maternal and paternal genetic histories among five ethnic groups from Khyber Pakhtunkhwa, Pakistan. Sci Rep 2022; 12:1027. [PMID: 35046511 PMCID: PMC8770644 DOI: 10.1038/s41598-022-05076-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 12/10/2021] [Indexed: 11/24/2022] Open
Abstract
Northwest Pakistan has served as a point of entry to South Asia for different populations since ancient times. However, relatively little is known about the population genetic history of the people residing within this region. To better understand human dispersal in the region within the broader history of the subcontinent, we analyzed mtDNA diversity in 659 and Y-chromosome diversity in 678 individuals, respectively, from five ethnic groups (Gujars, Jadoons, Syeds, Tanolis and Yousafzais), from Swabi and Buner Districts, Khyber Pakhtunkhwa Province, Pakistan. The mtDNAs of all individuals were subject to control region sequencing and SNP genotyping, while Y-chromosomes were analyzed using 54 SNPs and 19 STR loci. The majority of the mtDNAs belonged to West Eurasian haplogroups, with the rest belonging to either South or East Asian lineages. Four of the five Pakistani populations (Gujars, Jadoons, Syeds, Yousafzais) possessed strong maternal genetic affinities with other Pakistani and Central Asian populations, whereas one (Tanolis) did not. Four haplogroups (R1a, R1b, O3, L) among the 11 Y-chromosome lineages observed among these five ethnic groups contributed substantially to their paternal genetic makeup. Gujars, Syeds and Yousafzais showed strong paternal genetic affinities with other Pakistani and Central Asian populations, whereas Jadoons and Tanolis had close affinities with Turkmen populations from Central Asia and ethnic groups from northeast India. We evaluate these genetic data in the context of historical and archeological evidence to test different hypotheses concerning their origins and biological relationships.
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Sharma B, Angurana S, Shah R, Verma S, Bhat A, Bhat GR, Bakshi D, Jamwal RS, Tanwar M, Singh S, Bhat A, Vaishnavi S, Kumar R. Genetic association of ARID5B with the risk of colorectal cancer within Jammu and Kashmir, India. Genes Genet Syst 2021; 96:187-191. [PMID: 34803080 DOI: 10.1266/ggs.21-00010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
Abstract
Colorectal cancer (CRC), which includes the development of cancer from the colon or rectum, is one of the highly prevalent cancers in the populations of Jammu and Kashmir (J&K) in India. However, case-control genetic association studies on CRC are lacking in this population. Various genome-wide association studies have previously shown that single-nucleotide polymorphisms (SNPs) of the AT-rich interaction domain 5B (ARID5B) gene located on chromosome 10q21.2 contribute substantially to the development of colorectal cancer. The association between ARID5B and CRC risk in north Indian population groups is still unknown. To understand the role of ARID5B SNPs in CRC in the population of J&K, we designed a case-control study to investigate the association of the cancer susceptibility variant rs10740055 of ARID5B with CRC in the population of J&K. The study included 180 cases and 390 healthy controls. Genotyping of the rs10740055 variant was performed by RT-PCR using the TaqMan assay technique. Hardy-Weinberg equilibrium of the variant was assessed using the chi-squared test. The allele- and genotype-specific risks were estimated by odds ratios (ORs) with 95% confidence intervals (CIs). The rs10740055 variant showed a higher risk for colorectal cancer with an OR of 3.35 (1.99-5.65 at 95% CI) and P = 0.000005 corrected for age, gender, ethnicity, BMI, alcohol intake and smoking. Our results indicate that the A allele of rs10740055 imparts risk to the population and also that a larger sample size is needed for further statistical validation. The association of other variants in other ARID family genes should also be tested as their role cannot be ruled out.
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Affiliation(s)
- Bhanu Sharma
- School of Biotechnology, Shri Mata Vaishno Devi University
| | | | - Ruchi Shah
- Department of Biotechnology, University of Kashmir
| | - Sonali Verma
- Indian Council of Medical Research-Centre for Advanced Research, School of Biotechnology Shri Mata Vaishno Devi University
| | - Amrita Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University
| | - G R Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University
| | - Divya Bakshi
- School of Biotechnology, Shri Mata Vaishno Devi University
| | | | - Mukesh Tanwar
- Department of Genetics, Maharshi Dayanand University
| | | | - Audesh Bhat
- Centre for Molecular Biology, Central University of Jammu
| | | | - Rakesh Kumar
- School of Biotechnology, Shri Mata Vaishno Devi University.,Indian Council of Medical Research-Centre for Advanced Research, School of Biotechnology Shri Mata Vaishno Devi University
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Cymbidium macrorhizon Lindl. (Orchidaceae): A New Record for Flora of Jammu and Kashmir, India. NATIONAL ACADEMY SCIENCE LETTERS 2021. [DOI: 10.1007/s40009-020-00985-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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7
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Verma S, Sharma I, Sharma V, Bhat A, Shah R, Bhat GR, Sharma B, Bakshi D, Nagpal A, Wakhloo A, Bhat A, Kumar R. MassArray analysis of genomic susceptibility variants in ovarian cancer. Sci Rep 2020; 10:21101. [PMID: 33273524 PMCID: PMC7713113 DOI: 10.1038/s41598-020-76491-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 10/28/2020] [Indexed: 12/24/2022] Open
Abstract
Ovarian cancer (OC), a multifaceted and genetically heterogeneous malignancy is one of the most common cancers among women. The aim of the study is to unravel the genetic factors associated with OC and the extent of genetic heterogeneity in the populations of Jammu and Kashmir (J&K).Using the high throughput Agena MassARRAY platform, present case control study was designed which comprises 200 histopathological confirmed OC patients and 400 age and ethnicity matched healthy controls to ascertain the association of previously reported eleven single nucleotide polymorphisms (SNPs) spread over ten genes (DNMT3A, PIK3CA, FGFR2, GSTP1, ERCC5, AKT1, CASC16, CYP19A1, BCL2 and ERCC1) within the OC population of Jammu and Kashmir, India. The association of each variant was estimated using logistic regression analyses. Out of the 11 SNPs the odds ratio observed for three SNPs; rs2699887 was (1.72 at 95% CI: 1.19-2.48, p = 0.004), rs1695 was (1.87 at 95% CI: 1.28-2.71, p = 0.001), and rs2298881 was (0.66 at 95% CI: 0.46-0.96, p = 0.03) were found significantly associated with the OC after correction with confounding factors i.e. age & BMI. Furthermore, the estimation of interactive analyses was performed and odds ratio observed was 2.44 (1.72-3.47), p value < 0. 001 suggests that there was a strong existence of interplay between the selected genetic variants in OC, which demonstrate that interactive analysis highlights the role of gene-gene interaction that provides an insight among multiple little effects of various polymorphisms in OC.
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Affiliation(s)
- Sonali Verma
- Indian Council of Medical Research-Centre for Advance Research, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India.
| | - Indu Sharma
- Ancient DNA Laboratory, Birbal Shani Institute of Paleo Sciences, Lucknow, Uttar Pradesh, India
| | - Varun Sharma
- Ancient DNA Laboratory, Birbal Shani Institute of Paleo Sciences, Lucknow, Uttar Pradesh, India
| | - Amrita Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Ruchi Shah
- Department of Biotechnology, Kashmir University, Srinagar, Jammu and Kashmir, India
| | - Gh Rasool Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Bhanu Sharma
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Divya Bakshi
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Ashna Nagpal
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Ajay Wakhloo
- Department of Obstetrics and Gynecology, Government Medical College, Jammu, Jammu and Kashmir, India
| | - Audesh Bhat
- Centre for Molecular Biology, Central University of Jammu, Jammu, Jammu and Kashmir, India
| | - Rakesh Kumar
- Indian Council of Medical Research-Centre for Advance Research, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India.
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8
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Bakshi D, Nagpal A, Sharma V, Sharma I, Shah R, Sharma B, Bhat A, Verma S, Bhat GR, Abrol D, Sharma R, Vaishnavi S, Kumar R. MassARRAY-based single nucleotide polymorphism analysis in breast cancer of north Indian population. BMC Cancer 2020; 20:861. [PMID: 32894086 PMCID: PMC7487711 DOI: 10.1186/s12885-020-07361-8] [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: 06/25/2020] [Accepted: 08/31/2020] [Indexed: 12/26/2022] Open
Abstract
Background Breast Cancer (BC) is associated with inherited gene mutations. High throughput genotyping of BC samples has led to the identification and characterization of biomarkers for the diagnosis of BC. The most common genetic variants studied are SNPs (Single Nucleotide Polymorphisms) that determine susceptibility to an array of diseases thus serving as a potential tool for identifying the underlying causes of breast carcinogenesis. Methods SNP genotyping employing the Agena MassARRAY offers a robust, sensitive, cost-effective method to assess multiple SNPs and samples simultaneously. In this present study, we analyzed 15 SNPs of 14 genes in 550 samples (150 cases and 400 controls). We identified four SNPs of genes TCF21, SLC19A1, DCC, and ERCC1 showing significant association with BC in the population under study. Results The SNPs were rs12190287 (TCF21) having OR 1.713 (1.08–2.716 at 95% CI) p-value 0.022 (dominant), rs1051266 (SLC19A1) having OR 3.461 (2.136–5.609 at 95% CI) p-value 0.000000466 (dominant), rs2229080 (DCC) having OR 0.6867 (0.5123–0.9205 at 95% CI) p-value 0.0116 (allelic) and rs2298881 (ERCC1) having OR 0.669 (0.46–0.973 at 95% CI), p-value 0.035 (additive) respectively. The in-silico analysis was further used to fortify the above findings. Conclusion It is further anticipated that the variants should be evaluated in other population groups that may aid in understanding the genetic complexity and bridge the missing heritability.
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Affiliation(s)
- Divya Bakshi
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
| | - Ashna Nagpal
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Varun Sharma
- Ancient DNA Laboratory, Birbal Sahni Institute of Palaeosciences, Lucknow, Uttar Pradesh, India
| | - Indu Sharma
- Ancient DNA Laboratory, Birbal Sahni Institute of Palaeosciences, Lucknow, Uttar Pradesh, India
| | - Ruchi Shah
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Bhanu Sharma
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Amrita Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Sonali Verma
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Gh Rasool Bhat
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
| | - Deepak Abrol
- Department of Radiotherapy, GMC, Kathua, J&K, India
| | - Rahul Sharma
- Department of Radiotherapy, GMC, Jammu, J&K, India
| | - Samantha Vaishnavi
- Department of Plant Sciences, Central University of Jammu, Jammu, J&K, India
| | - Rakesh Kumar
- School of Biotechnology, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.
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9
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García-Fernández C, Font-Porterias N, Kučinskas V, Sukarova-Stefanovska E, Pamjav H, Makukh H, Dobon B, Bertranpetit J, Netea MG, Calafell F, Comas D. Sex-biased patterns shaped the genetic history of Roma. Sci Rep 2020; 10:14464. [PMID: 32879340 PMCID: PMC7468237 DOI: 10.1038/s41598-020-71066-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 08/07/2020] [Indexed: 12/30/2022] Open
Abstract
The Roma population is a European ethnic minority characterized by recent and multiple dispersals and founder effects. After their origin in South Asia around 1,500 years ago, they migrated West. In Europe, they diverged into ethnolinguistically distinct migrant groups that spread across the continent. Previous genetic studies based on genome-wide data and uniparental markers detected Roma founder events and West-Eurasian gene flow. However, to the best of our knowledge, it has not been assessed whether these demographic processes have equally affected both sexes in the population. The present study uses the largest and most comprehensive dataset of complete mitochondrial and Y chromosome Roma sequences to unravel the sex-biased patterns that have shaped their genetic history. The results show that the Roma maternal genetic pool carries a higher lineage diversity from South Asia, as opposed to a single paternal South Asian lineage. Nonetheless, the European gene flow events mainly occurred through the maternal lineages; however, a signal of this gene flow is also traceable in the paternal lineages. We also detect a higher female migration rate among European Roma groups. Altogether, these results suggest that sociocultural factors influenced the emergence of sex-biased genetic patterns at global and local scales in the Roma population through time.
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Affiliation(s)
- C García-Fernández
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - N Font-Porterias
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - V Kučinskas
- Department of Human and Medical Genetics, Faculty of Medicine, Biomedical Science Institute, Vilnius University, Vilnius, Lithuania
| | - E Sukarova-Stefanovska
- Research Center for Genetic Engineering and Biotechnology "Georgi D. Efremov", Academy of Sciences and Arts of the Republic of North Macedonia - MASA, Skopje, Republic of North Macedonia
| | - H Pamjav
- Institute of Forensic Genetics, Hungarian Institute for Forensic Sciences, Budapest, Hungary
| | - H Makukh
- Institute of Hereditary Pathology, Ukrainian Academy of Medical Sciences, Lviv, Ukraine
| | - B Dobon
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - J Bertranpetit
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - M G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA, Nijmegen, the Netherlands.,Department of Human Genetics, University of Medicine and Pharmacy Craiova, Craiova, Romania.,Department for Genomics and Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115, Bonn, Germany
| | - F Calafell
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
| | - D Comas
- Institute of Evolutionary Biology (UPF-CSIC), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
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Genetic diversity among wild pomegranate (Punica granatum) in Azad Jammu and Kashmir region of Pakistan. ELECTRON J BIOTECHN 2020. [DOI: 10.1016/j.ejbt.2020.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
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11
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Zubair M, Hemphill BE, Schurr TG, Tariq M, Ilyas M, Ahmad H. Mitochondrial DNA diversity in the Khattak and Kheshgi of the Peshawar Valley, Pakistan. Genetica 2020; 148:195-206. [PMID: 32607672 DOI: 10.1007/s10709-020-00095-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Accepted: 05/12/2020] [Indexed: 11/29/2022]
Abstract
The strategic location of Pakistan and its presence at the crossroads of Asia has resulted in it playing a central role in both prehistoric and historic human migratory events, thereby linking and facilitating contacts between the inhabitants of the Middle East, Central Asia, China and South Asia. Despite the importance of this region and its inhabitants for our understanding of modern human origins and population dispersals, the nature of mitochondrial DNA (mtDNA) variation among members of the myriad populations of this area has largely been unexplored. Here, we report mtDNA control region sequences in 58 individuals from the Khattak and the Kheshgi, two major Pakhtun tribes residing within the Peshawar Valley of northwestern Pakistan. The results reveal that these ethnic groups are genetically heterogeneous, having 55.7% West Eurasian, 33.9% South Asian and 10.2% East Asian haplogroups. The genetic diversity observed for the Kheshgi was somewhat higher than that of the Khattak. A multidimensional scaling plot based on haplogroup frequencies for the Khattak, Kheshgi and neighboring populations indicates that the Khattak have close affinities with Baluch, Uzbek and Kazak populations but are only distantly related to the Kheshgi and other Pakistani populations. By contrast, the Kheshgi cluster closely with other Pakhtun or Pathan populations of Pakistan, suggesting a possible common maternal gene pool shared amongst them. These mtDNA data allow us to begin reconstructing the origins of the Khattak and Kheshgi and describe their complex interactions with populations from the surrounding regions.
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Affiliation(s)
- Muhammad Zubair
- Department of Zoology, Hazara University Mansehra, Mansehra, 21120, Pakistan.,Department of Genetics, Hazara University Mansehra, Mansehra, 21120, Pakistan
| | - Brian E Hemphill
- Department of Anthropology, University of Alaska, Fairbanks, AK, 99775, USA
| | - Theodore G Schurr
- Department of Anthropology, University of Pennsylvania, Philadelphia, 19104, USA
| | - Muhammad Tariq
- Centre for Omic Sciences, Islamia College Peshawar, Peshawar, 25120, Pakistan
| | - Muhammad Ilyas
- Centre for Omic Sciences, Islamia College Peshawar, Peshawar, 25120, Pakistan
| | - Habib Ahmad
- Department of Genetics, Hazara University Mansehra, Mansehra, 21120, Pakistan. .,Centre for Omic Sciences, Islamia College Peshawar, Peshawar, 25120, Pakistan.
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12
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Angural A, Spolia A, Mahajan A, Verma V, Sharma A, Kumar P, Dhar MK, Pandita KK, Rai E, Sharma S. Review: Understanding Rare Genetic Diseases in Low Resource Regions Like Jammu and Kashmir - India. Front Genet 2020; 11:415. [PMID: 32425985 PMCID: PMC7203485 DOI: 10.3389/fgene.2020.00415] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 04/01/2020] [Indexed: 12/11/2022] Open
Abstract
Rare diseases (RDs) are the clinical conditions affecting a few percentage of individuals in a general population compared to other diseases. Limited clinical information and a lack of reliable epidemiological data make their timely diagnosis and therapeutic management difficult. Emerging Next-Generation DNA Sequencing technologies have enhanced our horizons on patho-physiological understanding of many of the RDs and ushered us into an era of diagnostic and therapeutic research related to this ignored health challenge. Unfortunately, relevant research is meager in developing countries which lack a reliable estimate of the exact burden of most of the RDs. India is to be considered as the "Pandora's Box of genetic disorders." Owing to its huge population heterogeneity and high inbreeding or endogamy rates, a higher burden of rare recessive genetic diseases is expected and supported by the literature findings that endogamy is highly detrimental to health as it enhances the degree of homozygosity of recessive alleles in the general population. The population of a low resource region Jammu and Kashmir (J&K) - India, is highly inbred. Some of its population groups variably practice consanguinity. In context with the region's typical geographical topography, highly inbred population structure and unique but heterogeneous gene pool, a huge burden of known and uncharacterized genetic disorders is expected. Unfortunately, many suspected cases of genetic disorders remain undiagnosed or misdiagnosed due to lack of appropriate clinical as well as diagnostic resources in the region, causing patients to face a huge psycho-socio-economic crisis and many a time suffer life-long with their ailment. In this review, the major challenges associated with RDs are highlighted in general and an account on the methods that can be adopted for conducting fruitful molecular genetic studies in genetically vulnerable and low resource regions is also provided, with an example of a region like J&K - India.
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Affiliation(s)
- Arshia Angural
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Akshi Spolia
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Ankit Mahajan
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Vijeshwar Verma
- Bioinformatics Infrastructure Facility, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Ankush Sharma
- Shri Mata Vaishno Devi Narayana Superspeciality Hospital, Katra, India
| | - Parvinder Kumar
- Institute of Human Genetics, University of Jammu, Jammu, India
| | | | - Kamal Kishore Pandita
- Shri Mata Vaishno Devi Narayana Superspeciality Hospital, Katra, India
- Independent Researcher, Health Clinic, Jammu, India
| | - Ekta Rai
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
| | - Swarkar Sharma
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, India
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Singh M, Sarkar A, Kumar D, Nandineni MR. The genetic affinities of Gujjar and Ladakhi populations of India. Sci Rep 2020; 10:2055. [PMID: 32029844 PMCID: PMC7005309 DOI: 10.1038/s41598-020-59061-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 01/22/2020] [Indexed: 11/27/2022] Open
Abstract
The Union Territories of Jammu and Kashmir (J&K) and Ladakh in North India owing to their unique geographic location offer a wide variety of landscape from plains to high altitudes and is a congruence of many languages and cultural practices. Here, we present the genetic diversity studies of Gujjars from Jammu region of J&K and Ladakhi population based on a battery of autosomal single nucleotide polymorphisms (SNPs) and short tandem repeats (STRs), Y-chromosomal STRs and the control region of the mitochondrial genome. These two populations were observed to be genetically distant to each other as well as to other populations from India. Interestingly, Y-STR analyses showed a closer affinity of Gujjars to other nomadic populations of Pashtuns from Baghlans and Kunduz provinces of Afghanistan and Pashtuns and Sindhis of Pakistan. Gujjars exhibited lesser genetic diversity as compared to Ladakhi population. M30f and M9 were the most abundant mitochondrial haplogroups observed among Gujjars and Ladakhis, respectively. A lower matrilineal to patrilineal diversity was observed for both these populations. The current study presents the first comprehensive analysis of Gujjars and Ladakhis and reveals their unique genetic affiliations with other populations of the world.
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Affiliation(s)
- Mugdha Singh
- Laboratory of Genomics and Profiling Applications, Centre for DNA Fingerprinting and Diagnostics, Uppal, Hyderabad, Telangana State, India
- Graduate studies, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Anujit Sarkar
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Devinder Kumar
- Central Forensic Science Laboratory, Kolkata, West Bengal, India
| | - Madhusudan R Nandineni
- Laboratory of Genomics and Profiling Applications, Centre for DNA Fingerprinting and Diagnostics, Uppal, Hyderabad, Telangana State, India.
- Laboratory of DNA Fingerprinting Services, Centre for DNA Fingerprinting and Diagnostics, Uppal, Hyderabad, Telangana State, India.
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Mehta S. Contested domains of biological similarities and sociocultural diversity. J Biosci 2019; 44:66. [PMID: 31389355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Scientists and social scientists often read the same text differently. They also construct categories having the same nomenclature independently. Many of us also work in isolated domains, rarely reading texts researched and documented by others. We conduct our research within the defined format of our disciplines. We engage with others only when contestations emerge and challenge some of the rooted paradigms of each other's disciplines. This paper reflects the reactions of a social scientist to texts on population genetics and attempts to arrive at the genetic theory of the origin of ethnological history of human populations in India. Inadvertently, most of these intensely researched and passionately documented DNA evidence present a serious challenge to the discourse of cultural pluralism and social diversity that the humanist perspective of science and social science takes pride in documenting. This paper is based on secondary resource materials and the methodology adopted is that of narrative research.
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Affiliation(s)
- Shalina Mehta
- Formerly Professor of Social and Cultural Anthropology, Panjab University, Chandigarh 160011, India, ,
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Saha SK, Akther J, Huda N, Yasmin T, Alam MS, Hosen MI, Hasan AM, Nabi AN. Genetic association study of C5178A and G10398A mitochondrial DNA variants with type 2 diabetes in Bangladeshi population. Meta Gene 2019. [DOI: 10.1016/j.mgene.2018.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
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