Forensic Characterization, Genomic Variability and Ancestry Analysis of Six Populations from Odisha Using mtDNA SNPs and Autosomal STRs.

Located on India's eastern coast, Odisha is known for its diverse tribes and castes. In the early days of genome sequencing technology, researchers primarily studied the Austroasiatic communities inhabiting this region to reconstruct the ancient origins and dispersal of this broad linguistic group. However, current research has shifted towards identifying population and individual-specific genome variation for forensic applications. This study aims to analyze the forensic efficiency and ancestry of six populations from Odisha. We assessed the SF mtDNA-SNP60™ PCR Amplification Kit by comparing it with PowerPlex® Fusion 6C System, a widely used autosomal STR (aSTR) kit, in an Indian cohort. Although the mtDNA SNP kit showed low discriminating power for individuals of a diverse population, it could identify deep lineage divergence. Also, we utilized mitochondrial and autosomal variation information to analyze the ancestry of six endogamous ethnic groups in Odisha. We observe two extremities-populations with higher West Asian affinity and those with East Asian affinity. This observation is in congruence with the existing information of their tribal and non-tribal affiliation. When compared with neighbouring populations from Central and Eastern India, multivariate analysis showed that the Brahmins clustered separately or with the Gopala, Kaibarta appeared as an intermediate, Pana and Kandha clustered with the Gonds, and Savara with the Munda tribes. Our findings indicate significant deep lineage stratification in the ethnic populations of Odisha and a gene flow from West and East Asia. The artefacts of unique deep lineage in such a diverse population will help in improving forensic identification. In addition, we conclude that the SF mtDNA-SNP60 PCR Amplification Kit may be used only as a supplementary tool for forensic analysis.

COVID-19: Impact on linguistic and genetic isolates of India.

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.

Genetic portrait of 23 Y-STR loci in the Naga tribes of Nagaland, India.

To explore the genomic diversity and forensic characterization of Naga tribes, Nagaland, haplotypes for 23 Y-STR markers have been analyzed. In this study, 203 unrelated male individuals residing in the Northeast Indian state of Nagaland were selected. A total of 203 unique haplotypes were observed. The value of gene diversity (GD) and discrimination capacity (DC) was observed as 0.999999998927955 and 1 respectively. Forensic interest parameters viz., power of discrimination (PD), polymorphic information content (PIC), and matching probability (PM) were found to be 0.999999998695503, 0.999999976671191, and 1.3 × 10-9 respectively, for the studied population. Inter-population comparison study showed that the Naga tribes were found to have a distinct gene pool which is reflected in the neighbor-joining tree, principle coordinate analysis, and heat map. This is the first genetic study on Naga tribes based on 23 Y-STR markers. The Y chromosomal STR data will be useful for forensic DNA application and will enrich the existing Indian Y-STR database.

Molecular characterization of 23 Y chromosomal STR markers in the Gurjar population of National Capital Region (NCR), India.

In the present study, DNA samples of 202 unrelated male individuals of Gurjar population were evaluated for the molecular diversity at 23 Y chromosomal Y-STR markers. Out of selected individuals, results showed 143 unique haplotypes. Highest degree of gene diversity (GD), polymorphic information content (PIC), and power of discrimination (PD) was observed as 0.7941, 0.7590, and 0.7902, respectively, for the locus DYS385a/b. Haplotype diversity (HD), gene diversity (GD), polymorphic information content (PIC), and power of discrimination (PD) was found to be 0.7079, 0.999999999989, 0.9999999996, and 0.999999999986, respectively, for the studied 23 Y-STR markers. Allele 11 of locus DYS392 was found to be the most frequent allele with the frequency of 0.762. In inter-population relationship, studied population showed genetic relatedness with the population of Jammu and Kashmir, India, and Ladakh, India. The haplotype data of the present study will not only enrich the existing Indian Y-STR data but will also be useful for forensic DNA application.

Haplogroup diversity in the Indian population using 23 Y-STRs.

BACKGROUND: A Y-STR polymorphism study is a convenient tool in molecular anthropology and forensic DNA analysis. AIM: Through standard ethical procedures, the proposed study explored the genetic scenario in male lineage in Madhya Pradesh, a central Indian state, by Y-STR genotyping and haplogroup studies. SUBJECTS AND METHODS: Five hundred and eleven unrelated male blood samples were directly amplified, and fragment separation was done using capillary electrophoresis to generate a Y-STR profile for 23 forensic relevant markers through PowerPlex® Y 23 multiplex system. The different statistical methods were applied for studying the forensic and genetics parameters. Subsequently, population comparison was performed by AMOVA, PCoA, and MDS plot, and Haplogroups were predicted with Whit Athey's haplogroup predictor tool. CONCLUSION: These data represented the potential value of the PowerPlex® Y-23 multiplex system for the forensic and human genetics application in the population of Madhya Pradesh, India. Simultaneously the Haplogroup analysis revealed information about the multi-geographic origin as well as multi-ethnic genetic affinities of the Madhya Pradesh population.

Forensic features and phylogenetic analyses of the population of Nayagarh (Odisha), India using 23 Y-STRs.

AIM: The present study was designed to explore the STR diversity and genomic history of the inhabitants of Nayagarh district of Odisha, India. We also tested the proficiency of the most recent, new generation PowerPlexR Y23 multiplex system for forensic characterisation and to decipher the phylogenetic affinities. SUBJECTS AND METHODS: The genetic diversity and polymorphism among 236 healthy unrelated male volunteers from Nayagarh district of Odisha, India was investigated. This investigation was carried out via 23 Y-chromosomal STRs using capillary electrophoresis. RESULT: A total 223 unique haplotypes were reported. Discrimination capacity (DC), gene diversity (GD) and power of discrimination (PD) were observed as 0.945, 0.999999999998333, and 0.99999999999794, respectively. Polymorphic information content (PIC) and matching probability (PM) were reported as 0.999999999925535 and 2.06 × 10-12, respectively. Simultaneously, the haplogroup analysis characterised with C2, E1b1a, E1b1b, G2a, H1, I2a, J2a, J2b, L, O, O1, O2, Q, R1a, R2, and T haplogroups, disclosing the possible geographical relatedness of the studied population to different areas of the world. CONCLUSION: Phylogenetic analysis with previously reported Indian and Asian populations showed the genetic closeness of the studied population to different Indian populations and the Bangladeshi population of Dhaka, whereas the Bhotra population of Odisha and Han population of China showed much less genetic affinity.

An evaluation of inter and intra population structure of Uttar Pradesh, inferred from 24 autosomal STRs.

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 .

A case of "false tri-allelic pattern" on D7S820, caused by invasion of a short SE33 allele into the bins of D7S820.

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.

Genetic variation of 20 autosomal STRs in Jats belonging to Delhi, India.

The present study based on 20 autosomal STR polymorphism reveals the genetic diversity of the Jat population of Delhi, India (n = 120). A total of 240 alleles were observed for this study. The allele frequency ranged from 0.004 to 0.508. The studied loci followed the Hardy-Weinberg equilibrium (HWE), and the heterozygosity ranged from 0.658 to 0.908. The locus Penta-E was found the most polymorphic and discriminating in the studied population with the value 0.910 and 0.981, respectively, whereas the locus TPOX was found least polymorphic and discriminating with the value 0.612 and 0.833, respectively. The combined paternity index (CPI) was 1.46 × 109, and the probability of match (CPm) was 2.68 × 10-25 for all 20 autosomal STR loci. The generated data adds to the Indian population database. It will be used for forensic purposes and in other population-based genetic studies.

Forensic characterization and genetic evaluation in the Central Indian population using 27 Y-STRs.

INTRODUCTION: Forensic characterization and genetic evaluation study in the 539 randomly selected unrelated adult healthy individuals belonging to the Central Indian population was undertaken. METHODS: The study was performed using a multiplex of 27 Y-STRs incoporated in Yfiler™ Plus multiplex kit. RESULTS: Out of 539 samples, 6 samples were observed for large deletion and tri-allelic patterns, which were removed from the analysis, and out of 533 samples, a total of 507 haplotypes were found, and out of these haplotypes, 482 unique haplotypes were found in this piece of work. The forensically important parameters, i.e., gene diversity (GD) and discrimination capacity (DC), were found to be 0.669 and 0.951, respectively, for the tested Y STR loci. The genetic data of this study will enrich the Y STR data bank and being used as a potential tool for forensic DNA and various genetic studies.

Genetic diversity and forensic characterization of 15 autosomal microsatellite markers in the North-east Indian Tripuri population.

This study was conducted to explore the genomic diversity and forensic characterization of 15 autosomal microsatellite markers in the East Indian Tripuri population. In the studied population, we observed 158 different alleles with the average 10.53 alleles per locus. The locus D2S1338 (PIC= 0.862) was found to be the most polymorphic wheres locus TPOX (PIC= 0.647) as the least polymorphic, among all the studied loci. The locus FGA was found with the highest number of effective alleles (Nall=19) whereas locus TH01 showed least number of effective alleles (Nall=6). The cumulative values for matching probability (CPm), power of discrimination (CPD), power of exclusion CPE), and paternity index (CPI) were found as 1.94×10-18, 1, 0.999998, and 4.8×105 respectively. The studied population showed genetic closeness with the Gorkha population. In neighbor-joining tree, Tripura population pooled with the population of Nepal and Tibet. The genetic data obtained from the present study will not only enrich the existing autosomal STR database but will also be useful for forensic DNA application and genealogical studies.

Genomic insight into Y-STR diversity in the population of Odisha, India.

This study evaluated the haplotype diversity of 17 Y chromosomal genetic markers among 202 unrelated males who were randomly selected in the population of Odisha, India. Out of total 196 haplotypes observed in this study, 190 were unique haplotypes. Forensic relevant parameters, viz., gene diversity (GD) and discrimination capacity (DC), were calculated as 0.999999998 and 0.970 respectively, for the studied population. The highest genetic diversity was observed at the locus DYS385a/b (0.9541) and lowest at the locus DYS437 (0.3326) among all the studied Y chromosomal loci. The polymorphic information content (PIC), power of discrimination (PD), and matching probability (PM) was found to be 0.999999965, 0.999999998, and 1.6×10-9 for the tested Y STR loci. The genetic data observed in this study would enrich the existing Y STR data of the Indian population and would also be useful for forensic application.

Forensic characterization and genomic diversity of Assam population viewed from 23 autosomal STRs.

In order to find out the genetic structure and characterize the forensic features of 23 autosomal STRs in the population of Assam, PowerPlex® Fusion 6C amplification kit was employed to genotype 292 unrelated individuals from Assam, India. A total of 79 different alleles were observed across 23 autosomal STRs with the corresponding frequency of alleles, which ranges from 0.002 to 0.406. Selected 23 loci were observed useful together with the highest value of combined discrimination power (CPD = 1), combined exclusion power (CPE = 0.999999999914), combined paternity index (CPI = 3.04 × 109), and all studied loci combined showing the lowest matching probability which is (CPM = 1.29 × 10-29). Additionally, in comparison with neighboring population, Assam population showed genetic closeness with Indian population. The genetic data of the present study will enrich the existing Indian autosomal DNA database and be useful for forensic and genealogical applications.

The association of ABO blood group with the asymptomatic COVID-19 cases in India.

The COVID-19 pandemic resulted in multiple waves of infection worldwide. The large variations in case fatality rate among different geographical regions suggest that the human susceptibility against this virus varies substantially. Several studies from different parts of the world showed a significant association of ABO blood group and COVID-19 susceptibility. It was demonstrated that individuals with blood group O are at the lower risk of coronavirus infection. To establish the association of ABO blood group in SARS-CoV-2 susceptibility, we for the first time analysed SARS-CoV-2 neutralising antibodies among 509 individuals, collected from three major districts of Eastern Uttar Pradesh region of India. Interestingly, we found neutralising antibodies in a significantly higher percentage of people with blood group AB (0.36) followed by B (0.31), A (0.22) and lowest in people with blood group O (0.11). We further estimated that people with blood group AB are at comparatively higher risk of infection than other blood groups. Thus, among the asymptomatic SARS-CoV-2 recovered people blood group AB has highest, whilst individuals with blood group O has lowest risk of infection.

Genomic polymorphism in tribal population of Tripura: Signifying their closer affinity with the Nepalese and Tibetan populations.

BACKGROUND: India is the second most populous country in the world, which is aligned into various community segments. AIM: To evaluate the genetic diversity of the tribal population of Tripura, we carried out this study. SUBJECTS AND METHODS: 15 autosomal STR markers were used for investigation of genomic diversity, inter- and intra- population relationships among the studied population, and other reported neighbouring tribal and caste populations. RESULTS: Results indicated that the tribals of Tripura share their closer genetic affinity with the Trans-Himalayan (Nepalese, Bhutanese and Tibetan) populations. Locus D18S51 was found as the most discriminatory among all the studied loci with uppermost discrimination power (PD = 0.964) and lowest matching probability (Pm = 0.036) in the study. All the evaluated loci herein are useful, having the maximum value of combined power of discrimination (CPD = 1), combined power of exclusion (CPE = 0.99999746), combined paternity index (CPI = 3 × 105) and combined matching probability (CPm = 2.12 × 1 0 -7). CONCLUSION: Population genetic analysis showed that the studied population has genetic relatedness with the compared Nepalese and Tibetan populations i.e., Kathmandu, Tibet, Newar, and Gorkhas, followed by eastern and central Indian populations.

Useful autosomal STR marker sets for forensic and paternity applications in the Central Indian population.

BACKGROUND: Many countries have developed their core set of STR loci for forensic application and database generation, which India lacks. AIM: To assess the usefulness of various combinations of autosomal STR marker sets for their superior use in the central Indian population for forensic and paternity applications. SUBJECTS AND METHODS: 19 STR marker sets were analysed on 200 central Indian populations and 20 paternity cases to assess their usefulness. RESULTS: Two marker sets each comprising 19 STR markers are found to be superior to 20 expanded CODIS loci in the studied population. These marker sets also showed their effectiveness in 20 paternity cases having CPI values of 7.62 × 1011 and 7.16 × 1011. Three non-CODIS STR markers Penta E, Penta D, and SE33 showed amplification in 50 challenging samples with >0.80 heterozygosity. CONCLUSION: Population-specific STR marker sets are useful in forensic and paternity applications, as well as database generation, and it is envisioned that Penta E, Penta D, and SE33 markers will be included in the list of core STR loci in the central Indian population.

Population genetic data of 22 autosomal STR loci for the Scheduled Caste population of Rajasthan India.

AIM: To study the genetic structure of the Scheduled Caste population of Rajasthan and its relationship with Indian and global populations using expanded 20 CODIS STR loci (autosomal) markers. SUBJECTS AND METHODS: Blood samples of 226 healthy, unrelated adult individuals of the Scheduled Caste population of the Indian state of Rajasthan were taken from the routine casework of authors after obtaining written informed consent. Autosomal STR markers included in PowerPlex® Fusion 5 C and GlobalFiler™ PCR amplification kits were used to explore the genetic diversity of the studied population. Amplicons were separated using Genetic Analyser 3500XL as per the recommended protocol. RESULTS: Observed heterozygosity for the studied population ranged from 0.681(CSF1PO) to 0.881 (D1S1656).Combined Discrimination Power and Combined Exclusion Power were observed as 1 and 0.9999999852, respectively. The highest Discrimination Power was observed for the locus D1S1656. In the population comparison test, Nei's Da distance-based Neighbor-Joining (NJ) dendrogram revealed two significant clusters of geographically close Indian and East Asian populations along with a few small groups of outlier populations. CONCLUSION: The matching probability for 20 STR markers was observed as 7.02 × 10-24 and paternity index as 5.55 × 107. These values play a key role in forensic applications.The studied population showed a higher genetic affinity with geographically closer populations than the distant ones. This caste-based population data is expected to play an important role in forensic DNA applications and genetic studies.

Autosomal STR allele frequencies in Kahars of Uttar Pradesh, India, drawn with PowerPlex® 21 multiplex system.

We report here the genomic portrait of Kahar population of Uttar Pradesh, India, drawn by 20 autosomal short tandem repeat (STR) loci included in PowerPlex® 21 multiplex system from 147 unrelated individuals.The combined discrimination power (CPD) and combined exclusion power (CPE) observed a value of 1 for all the tested 20 autosomal STR loci. Locus Penta E showed the highest power of discrimination (0.976) in the studied population, whereas TPOX showed the lowest (0.851). The study presents the first global report on genetic data of Kahar population and comparison at common loci with the previously published population. The study was done with the aim of studying genetic diversity and adding to the population database.

Genetic portrait study for 23 Y-STR loci in the population of Rajasthan, India.

This study was conducted to come up with data on Y-STR markers for the population of Rajasthan comprising of the western arid region of India. Y-STR analysis is an established tool in forensic DNA casework and ancestry research. We analyzed 23 Y-STRs in randomly selected 310 unrelated individuals living within the geographical area of Rajasthan to establish parameters of forensic interest. Out of 310 haplotypes, 309 unique haplotypes were observed, which revealed a high discrimination capacity with a value of 0.997 for the studied loci. The gene diversity (GD) and haplotype diversity (HD) for the studied 23 Y STRs were found to be 0.664 and 0.666, respectively. In the population of Rajasthan, locus DYS385a/b showed the highest gene diversity with a value of 0.829 among all the studied loci. The studied population showed genetic relatedness with the populations of Madhya Pradesh, Uttar Pradesh, Jharkhand, and Himachal Pradesh.

Estimating genetic polymorphism in Bhuiyan population of eastern India using 20 autosomal STR loci.

We conducted a study of 182 unrelated adult individuals belonging to Bhuiyan population resident of Eastern India in order to estimate genetic polymorphism by using 20 autosomal STR loci. The results obtained from this study were compared with the published data of Indian and neighbouring countries' populations. This research study is expected to contribute significantly to forensic investigations for human identification and parentage testing.