CIVIL ENGINEERING 365 ALL ABOUT CIVIL ENGINEERING


  • 1.

    Malhotra, K. C. Population Structure among the Dhangar Caste-Cluster of Maharashtra, India. In The People of South Asia 295–324, https://doi.org/10.1007/978-1-4899-5001-7_14(Springer US, 1984).

  • 2.

    India, G. of. Statistical Profile of Scheduled Tribes in India. Ministry of Tribal Affairs, Statistics Division, Government of India. (2013).

  • 3.

    Reddy, B. M., Tripathy, V., Kumar, V. & Alla, N. Molecular genetic perspectives on the Indian social structure. Am. J. Hum. Biol. 22, 410–417 (2010).

    PubMed 

    Google Scholar
     

  • 4.

    Reich, D., Thangaraj, K., Patterson, N., Price, A. L. & Singh, L. Reconstructing Indian population history. Nature 461, 489–494 (2009).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 5.

    Narasimhan, V. M. et al. The genomic formation of South and Central Asia. bioRxiv 292581 (2018).

  • 6.

    Narasimhan, V. M. et al. The formation of human populations in South and Central Asia. Science 365, eaat7487 (2019).

  • 7.

    Shinde, V. et al. An Ancient Harappan Genome Lacks Ancestry from Steppe Pastoralists or Iranian Farmers. Cell 179, 729–735. e10 (2019).

    CAS 
    PubMed 

    Google Scholar
     

  • 8.

    Moorjani, P. et al. Genetic evidence for recent population mixture in India. Am. J. Hum. Genet. 93, 422–438 (2013).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 9.

    Jonnalagadda, M., Ozarkar, S., Ashma, R. & Kulkarni, S. Skin pigmentation variation among populations of West Maharashtra. India. Am. J. Hum. Biol. 28, 36–43 (2016).

    PubMed 

    Google Scholar
     

  • 10.

    Sambrook, J. & Russell, D. W. Molecular Cloning. (CSHL Press, 2001).

  • 11.

    Delaneau, O., Marchini, J. & Zagury, J.-F. A linear complexity phasing method for thousands of genomes. Nat. Methods 9, 179–181 (2012).

    CAS 

    Google Scholar
     

  • 12.

    Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 13.

    Ceballos, F. C., Hazelhurst, S. & Ramsay, M. Assessing runs of Homozygosity: A comparison of SNP Array and whole genome sequence low coverage data. BMC Genomics 19, 1–12 (2018).


    Google Scholar
     

  • 14.

    Ceballos, F. C., Hazelhurst, S. & Ramsay, M. Runs of homozygosity in sub-Saharan African populations provide insights into complex demographic histories. Hum. Genet. 138, 1123–1142 (2019).

    CAS 
    PubMed 

    Google Scholar
     

  • 15.

    International, H. C. et al. A second generation human haplotype map of over 3.1 million SNPs. Nature 449, 851–861 (2007).


    Google Scholar
     

  • 16.

    Slatkin, M. Linkage disequilibrium – Understanding the evolutionary past and mapping the medical future. Nat. Rev. Genet. 9, 477–485 (2008).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 17.

    Malécot, G. Consanguinité panmictique et consanguinité systématique. Ann. Génétique Sélection Anim. 1, 237–242 (1969).


    Google Scholar
     

  • 18.

    Templeton, A. R. & Read, B. Inbreeding: one word, several meanings, much confusion. EXS 68, 91–105 (1994).

    CAS 
    PubMed 

    Google Scholar
     

  • 19.

    Hartl, D. L. & Clark, A. G. Principles of Population Genetics. (Sinauer Associates Incorporated, 2007).

  • 20.

    Nei, M. F-statistics and analysis of gene diversity in subdivided populations. Ann. Hum. Genet. 41, 225–233 (1977).

    CAS 
    PubMed 
    MATH 

    Google Scholar
     

  • 21.

    Weir, B. S. Estimating F-statistics: A historical view. Philos. Sci. 79, 637–643 (2012).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 22.

    McQuillan, R. et al. Runs of Homozygosity in European Populations. Am. J. Hum. Genet. 83, 359–372 (2008).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 23.

    Browning, B. L. & Browning, S. R. Improving the accuracy and efficiency of identity-by-descent detection in population data. Genetics 194, 459–471 (2013).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 24.

    Bastian, M., Heymann, S. & Jacomy, M. Gephi: an open source software for exploring and manipulating networks. In vol. Third inte (2009).

  • 25.

    Browning, S. R. & Browning, B. L. Accurate non-parametric estimation of recent effective population size from segments of identity by descent. Am. J. Hum. Genet. 97, 404–418 (2015).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 26.

    Auton, A. et al. A global reference for human genetic variation. Nature 526, 68–74 (2015).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 27.

    Mallick, S. et al. The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature 538, 201–206 (2016).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 28.

    Patterson, N., Price, A. L. & Reich, D. Population structure and eigenanalysis. PLoS Genet. 2, 2074–2093 (2006).

    CAS 

    Google Scholar
     

  • 29.

    Price, A. L. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38, 904–909 (2006).

    CAS 

    Google Scholar
     

  • 30.

    Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 31.

    Petr, M., Vernot, B. & Kelso, J. admixr—R package for reproducible analyses using ADMIXTOOLS. Bioinformatics 35, 3194–3195 (2019).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 32.

    Patterson, N. et al. Ancient admixture in human history. Genetics 192, 1065–1093 (2012).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 33.

    Lazaridis, I. et al. Genomic insights into the origin of farming in the ancient Near East. Nature 536, 419–424 (2016).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 34.

    Ceballos, F. C., Hazelhurst, S. & Ramsay, M. Assessing runs of Homozygosity: a comparison of SNP Array and whole genome sequence low coverage data. BMC Genomics 19, 106 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 35.

    Browning, S. R. Estimation of pairwise identity by descent from dense genetic marker data in a population sample of haplotypes. Genetics 178, 2123–2132 (2008).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 36.

    Atkinson, Q. D., Gray, R. D. & Drummond, A. J. mtDNA Variation Predicts Population Size in Humans and Reveals a Major Southern Asian Chapter in Human Prehistory. Mol. Biol. Evol. 25, 468–474 (2008).

    CAS 
    PubMed 

    Google Scholar
     

  • 37.

    Chandrasekar, A. et al. Updating Phylogeny of Mitochondrial DNA Macrohaplogroup M in India: Dispersal of Modern Human in South Asian Corridor. PLoS ONE 4, e7447 (2009).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 38.

    Palanichamy, M. et al. Phylogeny of mitochondrial DNA macrohaplogroup N in India, based on complete sequencing: implications for the peopling of South Asia. Am. J. Hum. Genet. 75, 966–978 (2004).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 39.

    Sun, C. et al. The Dazzling Array of Basal Branches in the mtDNA Macrohaplogroup M from India as Inferred from Complete Genomes. Mol. Biol. Evol. 23, 683–690 (2006).

    CAS 
    PubMed 

    Google Scholar
     

  • 40.

    Metspalu, M. et al. Most of the extant mtDNA boundaries in South and Southwest Asia were likely shaped during the initial settlement of Eurasia by anatomically modern humans. BMC Genet. 5, 1471–2156 (2004).


    Google Scholar
     

  • 41.

    Kivisild, T. et al. The Genetic Heritage of the Earliest Settlers Persists Both in Indian Tribal and Caste Populations. Am. J. Hum. Genet. 72, 313–332 (2003).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 42.

    Mellars, P., Gori, K. C., Carr, M., Soares, P. A. & Richards, M. B. Genetic and archaeological perspectives on the initial modern human colonization of southern Asia. Proc. Natl. Acad. Sci. 110, 10699–10704 (2013).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • 43.

    Silva, M. et al. A genetic chronology for the Indian Subcontinent points to heavily sex-biased dispersals. BMC Evol. Biol. 17, 88 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 44.

    Thangaraj, K. et al. Genetic Affinities of the Andaman Islanders, a Vanishing Human Population. Curr. Biol. 13, 86–93 (2003).

    CAS 
    PubMed 

    Google Scholar
     

  • 45.

    Thangaraj, K. et al. The Influence of Natural Barriers in Shaping the Genetic Structure of Maharashtra Populations. PLoS ONE 5, e15283 (2010).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 46.

    Chaubey, G. et al. Phylogeography of mtDNA haplogroup R7 in the Indian peninsula. BMC Evol. Biol. 8, 227 (2008).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 47.

    Bamshad, M. et al. Genetic Evidence on the Origins of Indian Caste Populations. Genome Res. 11, 994 (2001).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 48.

    Cordaux, R. et al. Independent Origins of Indian Caste and Tribal Paternal Lineages. Curr. Biol. 14, 231–235 (2004).

    CAS 
    PubMed 

    Google Scholar
     

  • 49.

    Ramana, G. V. et al. Y-chromosome SNP haplotypes suggest evidence of gene flow among caste, tribe, and the migrant Siddi populations of Andhra Pradesh, South India. Eur. J. Hum. Genet. 9, 695–700 (2001).

    CAS 

    Google Scholar
     

  • 50.

    Sahoo, S. et al. A prehistory of Indian Y chromosomes: Evaluating demic diffusion scenarios. Proc. Natl. Acad. Sci. U. S. A. 103, 843 (2006).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 51.

    Sengupta, S. et al. Polarity and Temporality of High-Resolution Y-Chromosome Distributions in India Identify Both Indigenous and Exogenous Expansions and Reveal Minor Genetic Influence of Central Asian Pastoralists. Am. J. Hum. Genet. 78, 202–221 (2006).

    CAS 
    PubMed 

    Google Scholar
     

  • 52.

    Zerjal, T. et al. Y-chromosomal insights into the genetic impact of the caste system in India. Hum. Genet. 121, 137–144 (2006).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 53.

    Borkar, M. et al. Paleolithic spread of Y-chromosomal lineage of tribes in eastern and northeastern India. Ann. Hum. Biol. 38, 736–746 (2011).

    PubMed 

    Google Scholar
     

  • 54.

    Khan, F. et al. Genetic affinities between endogamous and inbreeding populations of Uttar Pradesh. BMC Genet. 8, 12 (2007).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • 55.

    Metspalu, M. et al. Shared and unique components of human population structure and genome-wide signals of positive selection in South Asia. Am. J. Hum. Genet. 89, 731–744 (2011).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 56.

    Majumder, P. P. & Basu, A. A genomic view of the peopling and population structure of India. Cold Spring Harb. Perspect. Biol. 7, a008540 (2014).

    PubMed 

    Google Scholar
     

  • 57.

    Basu, A., Sarkar-Roy, N. & Majumder, P. P. Genomic reconstruction of the history of extant populations of India reveals five distinct ancestral components and a complex structure. Proc. Natl Acad. Sci. USA 113, 1594–1599 (2016).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • 58.

    Mondal, M. et al. Genomic analysis of Andamanese provides insights into ancient human migration into Asia and adaptation. Nat. Genet. 48, 1066–1070 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • 59.

    Narasimhan, V. M. et al. The formation of human populations in South and Central Asia. Science 365, eaat7487 (2019).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • 60.

    Shinde, V. et al. An Ancient Harappan Genome Lacks Ancestry from Steppe Pastoralists or Iranian Farmers. Cell, https://doi.org/10.1016/j.cell.2019.08.048 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • 61.

    Bhanu, B. V. People of India. (Popular Prakashan, 2004).

  • 62.

    Enthoven, R. E. The Tribes and Castes of Bombay. (Asian Educational Services, 1990).

  • 63.

    Jonnalagadda, M., Nagare, T. & Chitale, S. A. O. Population Affinities of Select Tribal Populations of Maharashtra: A Study Using Dental Morphology. Ind J Phys Anthr. Hum. Genet. 32, 97–112 (2013).


    Google Scholar
     

  • 64.

    Ozarkar, S. Mitochondrial DNA Diversity among Select Tribal Populations of Maharashtra: PhD Thesis submitted to Savitribai Phule Pune University.

  • 65.

    Sinha, A. et al. A 900-year (600 to 1500 A.D.) record of the Indian summer monsoon precipitation from the core monsoon zone of India. Geophys. Res. Lett. 34 (2007).

  • 66.

    Wilson, I. R. G. Can we Predict the Next Indian Mega-Famine. Energy Environ. 20, 11–24 (2009).


    Google Scholar
     

  • 67.

    Haak, W. et al. Massive migration from the steppe was a source for Indo-European languages in Europe. Nature 522, 207 (2015).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     



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