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A Y-STR polymorphism study is a convenient tool in molecular anthropology and forensic DNA analysis. 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. 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. 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. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

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. 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. 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). 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. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

India is the second most populous country in the world, which is aligned into various community segments. To evaluate the genetic diversity of the tribal population of Tripura, we carried out this study. 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 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). 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. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the genomic diversity and population structure in the Muslim community of Telangana, India, using 23 autosomal microsatellite genetic markers. We also examined genetic relatedness between Muslim and non-Muslim populations of India. A sample of 184 randomly selected unrelated healthy Muslim individuals from the Telangana state were included in this study. The genotyping of 23 autosomal STR markers included in PowerPlex® Fusion 6 C multiplex system (Promega)was done. A total of 273 alleles were observed in the studied population, and locus SE33 showed 37 observed alleles, which is the highest number of observed alleles among all the studied loci. Among all the studied loci the most polymorphic and discriminatory locus was SE33, with the values of polymorphic information content (PIC) = 9.411E–01 and power of discrimination (PD) = 9.865E–01. Observed heterozygosity ranged from 6.630E–01 (D22S1045) to 9.239E–01 (SE33). Discrimination power, exclusion power, matching probability and paternity index for all the studied loci were 1.00E + 00, 1.00E + 00, 2.01E–28, and 5.68E + 09, respectively. The studied Muslim population showed genetic relatedness with non-Muslim populations i.e. populations of central India, Jharkhand, and Uttar Pradesh, suggesting the conversion of Hindus during the Muslim invasion. Neighbor-joining (NJ) tree and principal component analysis (PCA) revealed that the studied population showed genetic affinity with communities of Jharkhand, Madhya Pradesh and Uttar Pradesh states. The genetic data of this study may be useful for forensic, medical, and anthropological studies. [ABSTRACT FROM AUTHOR]

To study molecular diversity and genomic heritage of the Meitei community of Manipur using 20 autosomal gene loci markers. 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. 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. 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. [ABSTRACT FROM AUTHOR]

Autosomal STR typing using capillary electrophoresis is a reliable method for establishing parentage and for deciphering genomic ancestry. This study was planned to show the genetic diversity of the Jat Sikh population, which is a widespread community of the Punjab region, and to assess its genetic relationship with existing Indian populations. Blood samples of unrelated healthy individuals of the Jat Sikhs (n = 123) were used in this study. Fifteen autosomal STR markers along with the sex determination genetic marker Amelogenin were amplified using AmpFlSTR®Identifiler® Plus kit, and genetic analyser 3100 was used for genotyping. A total of 246 alleles were observed with allele frequencies ranging from 0.004 to 0.447. The heterozygosity ranged from 0.659 to 0.886, and all studied loci were in Hardy–Weinberg Equilibrium (HWE). Fibrinogen A alpha (Aα) chain (FGA) was found to be the most polymorphic and also the most discriminating locus in the studied population. Neighbor-joining (NJ) tree, principal component analysis (PCA) plot, and Nei's Distance matrix revealed genetic affinity with the previously reported Jatt Sikh (Punjab) population and showed the outlier nature of this population compared with other Indian populations. The data generated by this study enhance the database of Indian populations to be used in civil and forensic cases and also in other population-based genetic studies. [ABSTRACT FROM AUTHOR]