Browsing by Author "Gyaneshwer Chaubey"

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A case of “false tri-allelic pattern” on D7S820, caused by invasion of a short SE33 allele into the bins of D7S820
(Springer Science and Business Media Deutschland GmbH, 2021) Kamlesh Kaitholia; Pankaj Shrivastava; Gyaneshwer Chaubey
Autosomal short tandem repeats (asSTR) serve as genetic markers for discriminating individuals and have been extensively used for criminal investigations as well as the establishment of genetic relationships. Tri-allelic pattern usually occurs due to chromosomal duplication, trisomy, and chimerism during mitotic division, but a false tri-allelic pattern at the D7S820 locus was encountered in our laboratory during the analysis of a case exhibit. DNA isolation from exhibit for profiling was done as per manufacturer’s protocol. This is the first report which observed false tri-allelic pattern (10, 11, 14.1 allele) on D7S820 locus by analysis with GlobalFiler™ PCR Amplification Kit in Indian population. Findings were re-confirmed using other available asSTR kits in the laboratory, viz., AmpFLSTR™ Identifiler™ Plus PCR Amplification Kit and PowerPlex® Fusion 6C System. Two alleles (10, 11) found at D7S820, apart from SE33 marker, showed homozygous condition, but one Off Marker (OMR) peak was observed before start of SE33 marker region with the analysis using PowerPlex® Fusion 6C System. As it has been confirmed that the OMR allele belongs to the SE33 locus, this could be possible because of the adjacent locations of the D7S820 and the SE33 in the GlobalFiler® PCR amplification kit. 14.1 allele appeared within the allelic window of D7S820. The false tri-allelic pattern was due to the overlapping of SE33 marker allele (1.2 repeat) with bin window of D7S820 Marker. This finding might create confusion for the establishment of genetic relationships. We, therefore, conclude that such uncommon observations with rare events should be carefully investigated and interpreted. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
A genomic exploration of 15 autosomal STR loci for establishment of a DNA profile database of the population of Himachal Pradesh
(Elsevier B.V., 2020) B.K. Mohapatra; Kamal Chauhan; Pankaj Shrivastava; Shivani Dixit; R.K. Kumawat; Anchal Sharma; Seema Dagar; Gyaneshwer Chaubey
In order to create an autosomal STR loci population database for Himachal Pradesh, 259 blood samples were taken from people residing in various regions of the state and AmpFlSTR® Identifiler® Plus PCR amplification kit was used for evaluation of 15 autosomal STR markers. A total of 149 alleles were investigated in this study with a mean allele number of 9.933 per locus. The locus D2S1338 was most informative in our data, as it had the highest discrimination power (PD-0.967) and the highest polymorphic information content (PIC-0.86). The matching probability and typical paternity index for all the studied loci were observed as 2.9x10-18 and 4.7x105, respectively. Discrimination power (CPD) and exclusion power (CPE) for all the studied loci were observed as 1 and 0.999998. © 2020 Elsevier B.V.
A study of genomic diversity in populations of Maharashtra, India, inferred from 20 autosomal STR markers
(BioMed Central Ltd, 2021) Ashish Badiye; Neeti Kapoor; R.K. Kumawat; Shivani Dixit; Aditi Mishra; Akansha Dixit; Prachi Kathane; Sudeshna Bag; Vaishnavi Thakre; Kamlesh Kaitholia; Ankit Srivastava; Gyaneshwer Chaubey; Pankaj Shrivastava
Objective: This study was planned to evaluate the genetic diversity in the admixed and Teli (a Hindu caste) populations of Maharashtra, India using 20 autosomal Short Tandem Repeat (STR) genetic markers. We further investigated the genetic relatedness of the studied populations with other Indian populations. Results: The studied populations showed a wide range of observed heterozygosity viz. 0.690 to 0.918 for the admixed population and 0.696 to 0.942 for the Teli population. This might be due to the multi-directional gene flow. The admixed and Teli populations also showed a high degree polymorphism which ranged from 0.652 to 0.903 and 0.644 to 0.902, respectively. Their combined value of matching probability for all the studied loci was 4.29 × 10–25 and 5.01 × 10–24, respectively. The results of Neighbor-Joining tree and Principal Component Analysis showed that the studied populations clustered with the general populations of Jharkhand, UttarPradesh, Rajasthan and Central Indian States, as well as with the specific populations of Maharashtra (Konkanastha Brahmins) and Tamil Nadu (Kurmans). Overall, the obtained data showed a high degree of forensic efficacy and would be useful for forensic applications as well as genealogical studies. © 2021, The Author(s).
Advancements and Challenges in Ancient DNA Research: Bridging the Global North–South Divide
(MDPI, 2023) Vasundhra Dalal; Nagarjuna Pasupuleti; Gyaneshwer Chaubey; Niraj Rai; Vasant Shinde
Ancient DNA (aDNA) research first began in 1984 and ever since has greatly expanded our understanding of evolution and migration. Today, aDNA analysis is used to solve various puzzles about the origin of mankind, migration patterns, and the spread of infectious diseases. The incredible findings ranging from identifying the new branches within the human family to studying the genomes of extinct flora and fauna have caught the world by surprise in recent times. However, a closer look at these published results points out a clear Global North and Global South divide. Therefore, through this research, we aim to emphasize encouraging better collaborative opportunities and technology transfer to support researchers in the Global South. Further, the present research also focuses on expanding the scope of the ongoing conversation in the field of aDNA by reporting relevant literature published around the world and discussing the advancements and challenges in the field. © 2023 by the authors.
Allelic frequency database of 15 polymorphic autosomal STRs in the Malayalam-speaking population of Kerala, India
(Springer, 2020) R. Sreekumar; Ajeesh Thekkatavan; Pankaj Shrivastava; R.K. Kumawat; Shivani Dixit; Gyaneshwer Chaubey
In this study, we assessed and established an allelic frequency database of Malayalam-speaking population of south western Indian state Kerala, using 15 polymorphic short tandem repeats (STRs) genetic markers. For this study, 464 unrelated healthy individuals were randomly selected following the ethical standards. The most polymorphic and most discriminating locus was D2S1338, with a value of 0.860 and 0.968, respectively. The range of heterozygosity extended from a minimum of 0.668 (TH01) to a maximum of 0.847 (D2S1338). The combined discrimination power (CPD) and combined exclusion power (CPE) were 1 and 0.999997861, respectively, for all 15 autosomal STR loci under study. The combined probability of match (CPM) and combined paternity index (CPI) for all 15 autosomal STR loci were found to be 9.85 × 10−19 and 4.18 × 105, respectively. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
An evaluation of inter and intra population structure of Uttar Pradesh, inferred from 24 autosomal STRs
(Taylor and Francis Ltd., 2022) Ikramul Haque; Shivani Dixit; Akash Kumar; Akshay Kumar; Sunita Verma; Devinder Kumar; Ankit Srivastava; R.K. Kumawat; Divya Shrivastava; Gyaneshwer Chaubey; Pankaj Shrivastava
Aim: The present study was designed to explore the STR diversity and genomic history of the inhabitants of the most populous subdivision of the country. A set of 24 hypervariable autosomal STRs was used to estimate the genetic diversity within the studied population. A panel of 15 autosomal STRs, which is most common in the previously reported data sets, was used to estimate the genetic diversity between the studied population, and obtained unique relations were reported here. Method: The genetic diversity and polymorphism among 636 individuals of different ethnic groups, residing in Bareilly, Pilibhit, Shahjahanpur, Gorakhpur, Jhansi, and Varanasi regions of Uttar Pradesh, India, was investigated. This investigation was carried out via 24 autosomal STRs. Result: The 24 loci studied showed the highest value of combined power of discrimination (CPD = 1), combined power of exclusion (CPE = 0.99999999985), combined paternity index (CPI = 6.10 × 109) and lowest combined matching probability (CPM = 7.90 × 10−31). Conclusion: The studied population showed genetic closeness with the population of Uttarakhand, the Jats of Delhi,the Jat Sikh (Punjab), and the population of Rajasthan. Among the tested loci, SE33 and Penta E were found to be most useful in terms of the highest discrimination power, lowest matching probability, the highest power of exclusion, and highest polymorphism information content for the Uttar Pradesh population. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
An evaluation of molecular characterization and population structure of Uttarakhand, India
(Elsevier Inc., 2021) Manoj Agrawal; B.K. Mohapatra; Kamal Chauhan; Shivani Dixit; R.K. Kumawat; Anchal Sharma; Seema Dagar; Ankit Srivastava; Gyaneshwer Chaubey; Pankaj Shrivastava
The northern Indian state of Uttarakhand is a landmark of culture, traditional values and natural beauty. It is located on the western side of the Himalayas resulting in geographic semi-isolation, which draws attention to the genomic diversity of the population of Uttarakhand. To explore the genomic structure and forensic characterization, randomly 427 unrelated individuals from Uttarakhand were selected. A wide range of allele frequency (0.001 to 0.415) and observed heterozygosity (0.693 to 0.888) was observed, which points towards a high level of genetic mixing instead of population isolation. The allelic data of 15 autosomal STR markers were found to be under the Hardy-Weinberg Equilibrium. The population of Uttarakhand showed genetic closeness with geographically close populations, i.e., the populations of Uttar Pradesh, central India and north-western India as compared to geographically distant populations of eastern and southern India, as well as western and eastern Asian populations. The locus D2S1338 (3p21.31) was found to be the most informative marker among all the studied loci with the highest discrimination power (PD = 0.971) and polymorphic information content (PIC = 0.864), while locus TPOX (2p25.3) was found to be the least informative with the lowest discrimination power (PD = 0.862) and polymorphism information content (PIC = 0.654). The combined value of discrimination power (CPD = 1), power of exclusion (CPE = 0.999999023), paternity index (CPI = 9.40 × 105) and matching probability (CPM = 2.10 × 10−18) showed that the tested loci are very useful for personal identification, paternity testing and disaster victim identification. © 2021 Elsevier Inc.
Assessment of significance and forensic relevance of SE33 (ACTBP2) locus in five Indian populations
(Elsevier Inc., 2021) Shivani Dixit; Pankaj Shrivastava; Hirak Ranjan Dash; Kamlesh Kaitholia; Vivek Sahajpal; Shubhasish Sahoo; Varsha Srivastava; H. Surekha Rani; Aditi Mishra; Sumit Kumar Choudhary; Ajeesh Thekkatavan; Gyaneshwer Chaubey; R.K. Kumawat
The study was conducted to evaluate the genetic variability, forensic reliability and potential of SE33 STR marker in five different Indian populations. 1400 blood samples of randomly selected unrelated individuals from various regions of Odisha (508), Madhya Pradesh (370), Telangana (305), Himachal Pradesh (168) and Rajasthan (49) were genotyped and evaluated for allelic diversity and statistical parameters for SE33 marker in selected Indian populations along with its comparison from global populations. This evaluation uncovered the highest discrimination power in population of Portugal (0.995), India (0.994), Bahrain (0.994) and Colombia (0.994). However, the highest observed heterozygosity was reported in Malaysian population (0.953) out of other reported populations. In all the studied five Indian populations SE33 was found to be have the highest discrimination power and lowest probability of match which envisions its application in varied applications of forensic DNA analysis such as human identification, paternity disputes and mass disaster as well as other population genetic studies. © 2021 Elsevier Inc.
Author Correction: The genetic legacy of continental scale admixture in Indian Austroasiatic speakers (Scientific Reports, (2019), 9, 1, (3818), 10.1038/s41598-019-40399-8)
(Nature Publishing Group, 2019) Kai Tätte; Luca Pagani; Ajai K. Pathak; Sulev Kõks; Binh Ho Duy; Xuan Dung Ho; Gazi Nurun Nahar Sultana; Mohd Istiaq Sharif; Md Asaduzzaman; Doron M. Behar; Yarin Hadid; Richard Villems; Gyaneshwer Chaubey; Toomas Kivisild; Mait Metspalu
This Article contains errors in the Methods section, under subsection ‘Samples collection and genotyping’. “All genotyped data will be made publicly available on the ebc.ee/free_data website and NCBI-GEO public repository (accession number XXXX)”. should read: “All genotyped data will be made publicly available on the ebc.ee/free_data website and NCBI-GEO public repository (accession number GSE126882)”. © 2019, The Author(s).
Can alcohol kill harmful microbes from our skin?
(Elsevier Inc., 2021) Pankaj Shrivastava; Toshi Jain; Vijay Nema; Mahendra K. Gupta; Naveen Kango; Pradeep K. Singhal; Gyaneshwer Chaubey; R.K. Kumawat
[No abstract available]
Common variant c.-22 + 155C > T of BDNF as a genetic risk factor of opium addiction
(Elsevier B.V., 2022) Anit Kumar; Sheikh Nizamuddin; Niraj Rai; Biswajit Roy; Manju Kashyap; Gaurav Gupta; Vineet Kaswan; Naveen Kumar Kaushik; Jatin Bodwal; Poonam Rana; Anshuman Mishra; Gyaneshwer Chaubey; H.T. Marc Timmers; Kumarasamy Thangaraj; Amit Kaushik
Opioid use disorder is largely genetic in nature. The common genetic variants present in population might be modulating the risk by affecting expression level of genes in the brain. Here, we study common variants in promoter region of brain-derived neurotrophic factor (BDNF) and Dopamine receptor D2 (DRD2) in a highly prevalent opium addiction geographical region. We identify highly expressed isoforms using CAGE datasets and its associated promoter. Common variants were extracted from promoters and genotyped in addicts compared to controls. The associated variants obtained through hitchhiking events were removed and eQTL analysis was performed. We identified two mutations (rs7944119:G > T and rs13306221:C > T) in the promoter of BDNF to be significantly associated with the addiction. In the dominant inheritance model, both rs7944119 and rs13306221 increases the risk of addiction. Of these two, rs7944119 was in linkage disequilibrium with rs13306221 and showed association due to hitchhiking. The rs13306221-T was associated with a lower expression level of the short BDNF isoform in the Cerebellar cortex. This finding suggests that rs13306221 (c.-22 + 155C > T) could increase risk of addiction by decreasing the expression level of the short isoform of BDNF, therefore, changes in the expression of the BDNF might not be the effect, but rather a cause of opium addiction disorder. Or, subjects with less expression of BDNF are more prone to addiction and addiction further decreases expression of BDNF short isoform in the brain. Although, it should be explored further in more detail. © 2022 Elsevier B.V.
Coronavirus (SARS-CoV-2) and Mortality Rate in India: The Winning Edge
(Frontiers Media S.A., 2020) Gyaneshwer Chaubey
[No abstract available]
Correction to: Genetic evidence for a single founding population of the Lakshadweep Islands (Molecular Genetics and Genomics, (2024), 299, 1, (8), 10.1007/s00438-024-02110-z)
(Springer Science and Business Media Deutschland GmbH, 2024) Sachin Kumar; Prajjval Pratap Singh; Nagarjuna Pasupuleti; Shivanand S. Shendre; Jaison Jeevan Sequeira; Idrees Babu; Mohammed S. Mustak; Niraj Rai; Gyaneshwer Chaubey
In this article the author name Mohammed S. Mustak was incorrectly written as Mohammed S. Mutak. The original article has been corrected. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
Correction to: Novel genetic association of the Furin gene polymorphism rs1981458 with COVID-19 severity among Indian populations (Scientific Reports, (2024), 14, 1, (7822), 10.1038/s41598-024-54607-7)
(Nature Research, 2024) Rudra Kumar Pandey; Anshika Srivastava; Rahul Kumar Mishra; Prajjval Pratap Singh; Gyaneshwer Chaubey
Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-54607-7, published online 03 April 2024 The original version of this Article contained errors in the Material and Methods section and in the legend of Figure 3 (A, B, C). In the Material and Methods section, under the subheading ‘Insilco analysis’, “To analyse the TMPRSS2 expression in various human tissues, the GTEx portal database (http://www.gtexportal.org/home/) was used.” now reads: “To analyse the FURIN expression in various human tissues, the GTEx portal database (http://www.gtexportal.org/home/) was used.” In the legend of Figure 3, “(A) and (B) display the allele frequency distribution of rs2070788 across Indian populations in a frequency map and the corresponding COVID-19 Case Fatality Rate (CFR) as of August 30th, 2021.” now reads: “(A) and (B) display the allele frequency distribution of rs1981458 across Indian populations in a frequency map and the corresponding COVID-19 Case Fatality Rate (CFR) as of August 30th, 2021.” “The linear regression graph depicts the association between the rs1981458 allele frequency of the TMPRSS2 gene with COVID-19 CFR.” now reads: “The linear regression graph depicts the association between the rs1981458 allele frequency of the FURIN gene with COVID-19 CFR.” The original Article has been corrected. © The Author(s) 2024.
COVID-19: Impact on linguistic and genetic isolates of India
(Springer Nature, 2022) Prajjval Pratap Singh; Prashanth Suravajhala; Chandana Basu Mallick; Rakesh Tamang; Ashutosh Kumar Rai; Pratheusa Machha; Royana Singh; Abhishek Pathak; Vijay Nath Mishra; Pankaj Shrivastava; Keshav K. Singh; Kumarasamy Thangaraj; Gyaneshwer Chaubey
The rapid expansion of coronavirus SARS-CoV-2 has impacted various ethnic groups all over the world. The burden of infectious diseases including COVID-19 are generally reported to be higher for the Indigenous people. The historical knowledge have also suggested that the indigenous populations suffer more than the general populations in the pandemic. Recently, it has been reported that the indigenous groups of Brazil have been massively affected by COVID-19. Series of studies have shown that many of the indigenous communities reached at the verge of extinction due to this pandemic. Importantly, South Asia also has several indigenous and smaller communities, that are living in isolation. Till date, despite the two consecutive waves in India, there is no report on the impact of COVID-19 for indigenous tribes. Since smaller populations experiencing drift may have greater risk of such pandemic, we have analysed Runs of Homozygosity (ROH) among South Asian populations and identified several populations with longer homozygous segments. The longer runs of homozygosity at certain genomic regions may increases the susceptibility for COVID-19. Thus, we suggest extreme careful management of this pandemic among isolated populations of South Asia. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
COVID-19: The Cause of the Manifested Cardiovascular Complications During the Pandemic
(Frontiers Media SA, 2021) Audditiya Bandopadhyay; Alok Kumar Singh; Gyaneshwer Chaubey
In the course of human history, we encountered several devastating waves of pandemics, affecting millions of lives globally and now the rapid and progressive spread of the novel SARS-CoV-2, causing Coronavirus disease (COVID-19) has created a worldwide wave of crisis. Profoundly straining national health care systems, it also significantly impacted the global economic stability. With the introduction of COVID-19 measures, mainly driven by immunization drives, casualties due to the virus were reported to decrease considerably. But then comes into play the post-Covid morbidities, along with their short and long-term effects on the elderly and the co-morbid population. Moreover, the pediatric population and the otherwise healthy cohort of the young athletes were also reported being largely affected by the varying amount of post-recovery virus-induced Cardiac manifestations, in the subsequent waves of the pandemic. Therefore, here we thrived to find answers to the seemingly unending series of questions that popped up with the advent of the disease, nevertheless, there still lies a blind spot in understanding the impacts of the disease on the Cardiovascular Health of an individual, even after the clinical recovery. Thus, along with the current data related to the diverse cardiovascular complications due to SARS-COV-2 infection, we suggest long-term ‘Cardiac surveillance' for the COVID-19 recovered individuals. Copyright © 2021 Bandopadhyay, Singh and Chaubey.
Decoding sars-cov-2 hijacking of host mitochondria in covid-19 pathogenesis
(American Physiological Society, 2020) Keshav K. Singh; Gyaneshwer Chaubey; Jake Y. Chen; Prashanth Suravajhala
Decoding SARS-CoV-2 hijacking of host mitochondria in COVID-19 pathogenesis. Am J Physiol Cell Physiol 319: C258–C267, 2020. First published June 8, 2020; doi:10.1152/ajpcell.00224.2020.—Because of the ongoing pandemic around the world, the mechanisms underlying the SARS-CoV-2-induced COVID-19 are subject to intense investigation. Based on available data for the SARS-CoV-1 virus, we suggest how CoV-2 localization of RNA transcripts in mitochondria hijacks the host cell’s mitochondrial function to viral advantage. Besides viral RNA transcripts, RNA also localizes to mitochondria. SARS-CoV-2 may manipulate mitochondrial function indirectly, first by ACE2 regulation of mitochondrial function, and once it enters the host cell, open-reading frames (ORFs) such as ORF-9b can directly manipulate mitochondrial function to evade host cell immunity and facilitate virus replication and COVID-19 disease. Manipulations of host mitochondria by viral ORFs can release mitochondrial DNA (mtDNA) in the cytoplasm and activate mtDNA-induced inflammasome and suppress innate and adaptive immunity. We argue that a decline in ACE2 function in aged individuals, coupled with the age-associated decline in mitochondrial functions resulting in chronic metabolic disorders like diabetes or cancer, may make the host more vulnerable to infection and health complications to mortality. These observations suggest that distinct localization of viral RNA and proteins in mitochondria must play essential roles in SARS-CoV-2 pathogenesis. Understanding the mechanisms underlying virus communication with host mitochondria may provide critical insights into COVID-19 pathologies. An investigation into the SARS-CoV-2 hijacking of mitochondria should lead to novel approaches to prevent and treat COVID-19. © 2020 the American Physiological Society
Dissecting the paternal founders of Mundari (Austroasiatic) speakers associated with the language dispersal in South Asia
(Springer Nature, 2021) Prajjval Pratap Singh; Shani Vishwakarma; Gazi Nurun Nahar Sultana; Arno Pilvar; Monika Karmin; Siiri Rootsi; Richard Villems; Mait Metspalu; Doron M. Behar; Toomas Kivisild; George van Driem; Gyaneshwer Chaubey
The phylogenetic analysis of Y chromosomal haplogroup O2a-M95 was crucial to determine the nested structure of South Asian branches within the larger tree, predominantly present in East and Southeast Asia. However, it had previously been unclear that how many founders brought the haplogroup O2a-M95 to South Asia. On the basis of the updated Y chromosomal tree for haplogroup O2a-M95, we analysed 1437 male samples from South Asia for various novel downstream markers, carefully selected from the extant phylogenetic tree. With this increased resolution of genetic markers, we were able to identify at least three founders downstream to haplogroup O2a-M95, who are likely to have been associated with the dispersal of Austroasiatic languages to South Asia. The fourth founder was exclusively present amongst Tibeto-Burman speakers of Manipur and Bangladesh. In sum, our new results suggest the arrival of Austroasiatic languages in South Asia during last 5000 years. © 2020, The Author(s), under exclusive licence to European Society of Human Genetics.
Estimation of real COVID-19 cases in India during the first wave
(Elsevier Ltd, 2023) Prajjval Pratap Singh; Sunil Kumar Rai; Gyaneshwer Chaubey
In 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread across the world within a few months. The SARS-CoV-2 pandemic has had a devastating effect on humanity, with social and economic consequences. The continents of Europe and America have been hit the hardest. However, there has also been a huge loss of life in India, with the country having the fourth highest number of total deaths worldwide. Nevertheless, the infection and death rates per million and the case fatality ratio in India are substantially lower than those in many developed nations. Several explanations for this have been proposed, including genetics. Mathematical modelling has suggested that the actual number of infections is much higher than the number of reported cases. Therefore, to understand the dynamics of actual infection and the population-level immunity against SARS-CoV-2, a serosurvey (antibody testing) was performed among 2301 individuals in urban regions of 14 districts in six states of India. A notable outcome of this study was that a large proportion of the Indian population had an asymptomatic SARS-CoV-2 infection. The real infection rate in India was several fold higher than the reported number of cases. Therefore, a large number of people in the country have developed SARS-CoV-2-specific antibodies. In this survey, the seroprevalence (frequency antibody-positive) varied between 0.01 (95% CI 0.002–0.054) and 0.477 (95% CI 0.392–0.563), suggesting a high variability in viral transmission between the states and the possibility of future waves. In this study population, the frequency of asymptomatic infection was highest in the younger age groups. It was also found that the numbers of cases reported by the government were several-fold lower than the real incidence of infection. It is likely that the high number of asymptomatic cases was the main driver of this discrepancy. © 2023 The Author(s)
Evaluation of the genomic diversity and shared ancestry of the Meitei community of Manipur (India) with the East Asian populations using autosomal STRs
(Taylor and Francis Ltd., 2020) Surendrajit Leishangthem; K.P.S. Kushwaha; Tanya Chauhan; R.K. Kumawat; Gyaneshwer Chaubey; Pankaj Shrivastava
Aim: To study molecular diversity and genomic heritage of the Meitei community of Manipur using 20 autosomal gene loci markers. Subjects and methods: Blood samples were collected from 120 unrelated, healthy individuals of the Meitei population following ethical standards. DNA was extracted using the Phenol chloroform organic extraction method and amplified using the PowerPlex® 21 system. Genetic profiles of the individuals were generated using the Genetic Analyser 3500XL following the recommended protocol. Results: The studied population showed Observed Heterozygosity (Hobs) from 0.583 (TH01) to 0.90 (D6S1043) among all the studied loci. The discrimination power and exclusion power for all the studied loci were found to be 1 and 0.9999999988, respectively, with the maximum power of discrimination being found at Penta E locus. Conclusions: All the studied loci showed a high degree of matching probability and paternity index of 2.83 × 10−24 and 7.35 × 108, respectively; these are high-level statistical values and indicate that these loci might play a very important role in the application of DNA reports in the courts of justice. The studied population showed a relatively closer genetic affinity with Newar, Kathmandu, and Han Chinese populations compared with the South and West Indian populations. The outcomes of this study will enrich the STR database of the Indian population and this is the first global report on genetic diversity in the Meitei community of Manipur, India, at 20 autosomal STR genetic markers. © 2020 Informa UK Limited, trading as Taylor & Francis Group.