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

Kumar, G Siva; Chauhan, Tanya; Kushwaha, K.P.S.; Dixit, Shivani; Kumawat, R. K.; Shrivastava, Pankaj

doi:10.1007/s00414-020-02391-0

Cited by 1 publication

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“…The genetic dataset of present study was compared with the dataset of reported indigenous populations viz., Balmiki (Punjab) 29 , Sakaldwipi Brahmin (Jharkhand) 29 , Konkanastha_Brahmin (Maharashtra) 29 , Iyengar (Tamilnadu) 29 , Kurumans (Tamilnadu) 29 , Munda (Jharkhand) 29 , Chenchu (Andhra Pradesh) 30 , Lambadi (Andhra Pradesh) 30 , Naikpod_Gond (Andhra Pradesh) 30 , Yerukula (Andhra Pradesh) 30 , Munda (Chotanagpur) 31 , Santal (Chotanagpur) 31 , Oraon (Chotanagpur) 31 , Lodha (Bengal) 32 , Kora (Bengal) 32 , Maheli (Bengal) 32 , Central Indian Population 33 , Gond (MP) 34 , Gond_2 (MP) 35 , Gond_1 (MP) 29 , Oraon (Chhattishgarh) 36 , Population of Jharkhand 37 , Jat Sikh (Punjab) 38 , Baniya (Punjab) 38 , Khatri (Punjab) 38 , Population of Uttar Pradesh 39 , Kahar population (UP) 40 , Himachal Pradesh Population 18 , Gorkhas 41 , Tamil Population (Tamil Nadu) 42 , Population of Rajasthan 43 , Population of Odisha 44 and Bhuiyan Population (Jharkhand) 45 ;and global populations namely; Manchu Population of China 46 , Han Population of Southern China 47 , Tibetan Population (Nepal) 48 , Kathmandu 49 , Tibet 49 , Newar 49 1).…”

Section: Genetic Data Of Reported Populations For Comparisonmentioning

confidence: 99%

Genomic Insight Into 21 Hypervariable Molecular Markers in The Population of Lower Himalayan Geographical Province Himachal Pradesh, India

Sharma

Srivast

Sahajpal

et al. 2021

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A natural geographical barrier between Tibetan plateau and south Asian countries, the Himalayan Mountain range, serves as a natural barrier between these regions for genetic flow. This has lead to vast genomic divergence among the population residing in Indian Himalayan region..This study was designed with an aim to decipher the genomic diversity and molecular characterization of 21 hypervariable molecular markers in the population of geographical province of Himachal Pradesh in the lower Himalayan region. Randomly selected 401 unrelated individuals native of the lower Himalayan geographical region were included for this study. 21 hypervariable molecular markers included in the PowerPlex® 21 system were amplified and genotyped. A total of 246 alleles and 12.3 (SE 0.927) private alleles per locus were observed. Population differentiation analysis revealed that the studied population showed a genetic affinity with the population of North India, North-west India, Central India, and Uttar Pradesh rather than the population of East India, South India, East Asia, and West Asia. Heterozygosity at the studied loci was found in the range of 0.686 to 0.920. The unite discrimination power (PD) and exclusion power (PE) was found to be 1 and 0.999999998073765 respectively. The unite value of matching probability and typical paternity index was found to be 9.33x10-26 and 5.05x108 respectively for the studied population. All the tested loci were found in Hardy Weinberg Equilibrium (HWE) expectations. Overall the studied population exhibited a great extent of genomic diversity and had a greater genetic affinity with Indo-European speakers rather than Dravidian and Tibeto-Burman speakers.

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