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Reconstructing Indian population history
Open accessAbstract
India has been underrepresented in genome-wide surveys of human variation. We analyse 25 diverse groups in India to provide strong evidence for two ancient populations, genetically divergent, that are ancestral to most Indians today. One, the 'Ancestral North Indians' (ANI), is genetically close to Middle Easterners, Central Asians, and Europeans, whereas the other, the 'Ancestral South Indians' (ASI), is as distinct from ANI and East Asians as they are from each other. By introducing methods that can estimate ancestry without accurate ancestral populations, we show that ANI ancestry ranges from 39-71% in most Indian groups, and is higher in traditionally upper caste and Indo-European speakers. Groups with only ASI ancestry may no longer exist in mainland India. However, the indigenous Andaman Islanders are unique in being ASI-related groups without ANI ancestry. Allele frequency differences between groups in India are larger than in Europe, reflecting strong founder effects whose signatures have been maintained for thousands of years owing to endogamy. We therefore predict that there will be an excess of recessive diseases in India, which should be possible to screen and map genetically.
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“Standard errors for all allele frequency based statistics were computed using the block-bootstrap using 100 replicates and a block size of 1000 markers86.”
From Paths and timings of the peopling of Polynesia inferred from genomic networks (2021) · cites this paper as [86]
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“The demographic impact of steppe related populations on South Asia was substantial, as the Mala, a south Indian population with minimal ANI along the ‘Indian Cline’ of such ancestry34,35 is inferred to have ~18% steppe-related ancestry, while the Kalash of Pakistan are inferred to have ~50%, similar to present-day northern Europeans7.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [34]
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“This contrasts with methods based on f-statistics [217][218][219] , which leverage covariation of allele frequencies between populations, and can retrieve unbiased admixture proportions.”
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“Evidence is mounting that darkly pigmented skin, or the potential for facultative development of dark pigmentation through tanning, evolved secondarily under positive selection in populations moving from low-to high-UVR environments.”
From Human skin pigmentation as an adaptation to UV radiation (2010) · cites this paper as [44]
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“We show that it is impossible to model the ANI as being derived from any single ancient population in our dataset.”
From Genomic insights into the origin of farming in the ancient Near East (2016) · cites this paper as [34]
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Citations
Cites
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871
Falush, D., Stephens, M., & Pritchard, J. K. (2003) · Genetics · doi:10.1093/genetics/164.4.1567 · Cited by 8,006
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280
Self-citationA second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
The Jackknife and the Bootstrap for General Stationary Observations
Künsch, H. R. (1989) · The Annals of Statistics · doi:10.1214/aos/1176347265 · Cited by 2,454
Phylogenetic analysis: models and estimation procedures
Winther, R. G. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316276259.010 · Cited by 2,258
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Li, J. Z., Absher, D. M., Tang, H., Southwick, A. M., Casto, A. M., Ramachandran, S., Cann, H. M., Barsh, G. S., Feldman, M. W., Cavalli-Sforza, L. L., et al. (2008) · Science · doi:10.1126/science.1153717 · Cited by 1,915
Genes mirror geography within Europe
Novembre, J., Johnson, T., Bryc, K., Kutalik, Z., Boyko, A. R., Auton, A., Indap, A., King, K. S., Bergmann, S., Nelson, M. R., et al. (2008) · Nature · doi:10.1038/nature07331 · Cited by 1,479
Castes of Mind: Colonialism and the Making of Modern India
Pye, L. W., & Dirks, N. B. (2002) · Foreign Affairs · doi:10.2307/20033218 · Cited by 1,378
Traces of Human Migrations in Helicobacter pylori Populations
Falush, D., Wirth, T., Linz, B., Pritchard, J. K., Stephens, M., Kidd, M. S., Blaser, M. J., Graham, D. Y., Vacher, S., Perez-Perez, G. I., et al. (2003) · Science · doi:10.1126/science.1080857 · Cited by 1,019
Flagged first, then by citations
Research works printed but not linked: 4
- Bhasin, M. K. & Walter, H. Genetics of Castes and Tribes of India (Kamla-Raj Enterprises, 2001)
- Singh, K. S. People of India, National Series, Volume III, Scheduled Tribes (Oxford Univ. Press, 1994)
- Singh, K. S. People of India, National Series, Volume III, Scheduled Castes (Oxford Univ. Press, 1993)
- Thorburn, D. On the asymptotic normality of the jackknife. Scand. J. Stat. 4, 113–118 (1977)
Cited by
Sorted by citations
Items 301–400 of 1,001
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Peyrégne, S., Slon, V., & Kelso, J. F. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00643-4 · Cited by 75
Root and canal morphology of Indian maxillary premolars by a modified root canal staining technique
Neelakantan, P., Subbarao, C., Ahuja, R., & Subbarao, C. V. (2011) · Odontology · doi:10.1007/s10266-010-0137-0 · Cited by 66
Genome analyses reveal the hybrid origin of the staple crop white Guinea yam ( Dioscorea rotundata )
Sugihara, Y., Darkwa, K., Yaegashi, H., Natsume, S., Shimizu, M., Abe, A., Hirabuchi, A., Ito, K., Oikawa, K., Tamiru, M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015830117 · Cited by 66
Pečnerová, P., Garcia‐Erill, G., Liu, X., Nursyifa, C., Waples, R. K., Santander, C. G., Quinn, L. J. E., Frandsen, P., Meisner, J., Stæger, F. F., et al. (2021) · Current Biology · doi:10.1016/j.cub.2021.01.064 · Cited by 68
Rampant Genome-Wide Admixture across theHeliconiusRadiation
Kozak, K. M., Joron, M., McMillan, W. O., & Jiggins, C. D. (2021) · Genome Biology and Evolution · doi:10.1093/gbe/evab099 · Cited by 67
A test of the influence of continental axes of orientation on patterns of human gene flow
Ramachandran, S., & Rosenberg, N. A. (2011) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21533 · Cited by 64
Migliano, A. B., Romero, I. G., Metspalu, M., Leavesley, M., Pagani, L., Antão, T., Huang, D., Sherman, B. T., Siddle, K., Scholes, C., et al. (2013) · Human Biology · doi:10.3378/027.085.0313 · Cited by 66
Karafet, T. M., Bulayeva, K., Nichols, J., Bulayev, O. A., Gurgenova, F., Omarova, J., Yepiskoposyan, L., Savina, O. V., Rodrigue, B. H., & Hammer, M. F. (2015) · Journal of Human Genetics · doi:10.1038/jhg.2015.132 · Cited by 63
Detecting hybridization using ancient DNA
Schaefer, N. K., Shapiro, B., & Green, R. E. (2016) · Molecular Ecology · doi:10.1111/mec.13556 · Cited by 66
Selection against admixture and gene regulatory divergence in a long-term primate field study
Vilgalys, T. P., Fogel, A. S., Mututua, R. S., Warutere, J. K., Siodi, L. I., Anderson, J. A., Kim, S. Y., Voyles, T., Robinson, J. A., Wall, J. D., et al. (2022) · Science · doi:10.1126/science.abm4917 · Cited by 66
Kumar, D. K., Shewade, D. G., Loriot, M., Beaune, P. H., Balachander, J., Chandran, B. V. S., & Chandrasekaran, A. (2013) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-013-1581-x · Cited by 63
A Three-Sample Test for Introgression
Hahn, M. W., & Hibbins, M. S. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz178 · Cited by 63
Comparative Performance of Popular Methods for Hybrid Detection using Genomic Data
Kong, S., & Kubatko, L. S. (2020) · Systematic Biology · doi:10.1093/sysbio/syaa092 · Cited by 65
Ram, U., Jha, P., Gerland, P., Hum, R. J., Rodriguez, P. S., Suraweera, W., Kumar, K., Kumar, R., Dikshit, R. P., Xavier, D., et al. (2015) · The Lancet Global Health · doi:10.1016/s2214-109x(15)00091-1 · Cited by 62
Richards, E. J., Poelstra, J. W., & Martin, C. H. (2018) · Evolution Letters · doi:10.1002/evl3.78 · Cited by 61
Nakatsuka, N. J., Luisi, P., Motti, J. M. B., Salemme, M., Santiago, F., del Campo, M. D. D., Vecchi, R. J., Espinosa‐Parrilla, Y., I, A. P., Adamski, N., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17656-w · Cited by 66
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Omberg, L., Salit, J., Hackett, N. R., Fuller, J. A., Matthew, R. M., Chouchane, L., Rodríguez-Flores, J. L., Bustamante, C. D., Crystal, R. G., & Mezey, J. G. (2012) · BMC Genetics · doi:10.1186/1471-2156-13-49 · Cited by 63
Bortoluzzi, C., Crooijmans, R. P. M. A., Bosse, M., Hiemstra, S. J., Groenen, M. A. M., & Megens, H. (2018) · Heredity · doi:10.1038/s41437-018-0072-3 · Cited by 61
Feng, S., Liu, Z., Hu, Y., Tian, J., Yang, T., & Wei, A. (2020) · Horticulture Research · doi:10.1038/s41438-020-00376-z · Cited by 60
Genetic Landscapes Reveal How Human Genetic Diversity Aligns with Geography
Peter, B. M., Petkova, D., & Novembre, J. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz280 · Cited by 66
Lucena-Pérez, M., Marmesat, E., Kleinman‐Ruiz, D., Martínez‐Cruz, B., Wȩcek, K., Saveljev, A. P., Seryodkin, I. V., Okhlopkov, I. M., Dvornikov, M. G., Ozoliņš, J., et al. (2020) · Molecular Ecology · doi:10.1111/mec.15366 · Cited by 61
Arciero, E., Kraaijenbrink, T., Asan, Haber, M., Mezzavilla, M., Ayub, Q., Wang, W., Pingcuo, Z., Yang, H., Wang, J., et al. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy094 · Cited by 60
Umamaheswaran, G., Kumar, D. K., & Adithan, C. (2014) · Europe PMC (PubMed Central) · Cited by 59
Indian Siddis: African Descendants with Indian Admixture
Shah, A. M., Tamang, R., Moorjani, P., Rani, D. S., Govindaraj, P., Kulkarni, G. D., Bhattacharya, T., Mustak, M. S., Bhaskar, L. V., Reddy, A. G., et al. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.05.030 · Cited by 59
Self-citationPopulation Variation Reveals Independent Selection toward Small Body Size in Chinese Debao Pony
Kader, A., Li, Y., Dong, K., Irwin, D. M., Zhao, Q., He, X., Liu, J., Pu, Y., Gorkhali, N. A., Liu, X., et al. (2015) · Genome Biology and Evolution · doi:10.1093/gbe/evv245 · Cited by 59
Loog, L. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0719 · Cited by 61
A single introduction of wild rabbits triggered the biological invasion of Australia
Alves, J. M., Carneiro, M., Day, J. P., Welch, J. J., Duckworth, J. A., Cox, T. E., Letnic, M., Strive, T., Ferrand, N., & Jiggins, F. M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2122734119 · Cited by 58
Association of TCF7L2 Gene Polymorphisms with T2DM in the Population of Hyderabad, India
Kommoju, U. J., Maruda, J., Samy, S. K., Prasad, K. J., Irgam, K., Velaga, L., & Reddy, B. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060212 · Cited by 58
The use of race, ethnicity and ancestry in human genetic research
Ali‐Khan, S. E., Krakowski, T., Tahir, R., & Daar, A. S. (2011) · The HUGO Journal · doi:10.1007/s11568-011-9154-5 · Cited by 62
The Kalash Genetic Isolate: Ancient Divergence, Drift, and Selection
Ayub, Q., Mezzavilla, M., Pagani, L., Haber, M., Mohyuddin, A., Khaliq, S., Mehdi, S. Q., & Tyler‐Smith, C. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.03.012 · Cited by 61
Effects of Sample Selection Bias on the Accuracy of Population Structure and Ancestry Inference
Shringarpure, S., & Xing, E. P. (2014) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.007633 · Cited by 63
The GenoChip: A New Tool for Genetic Anthropology
Elhaik, E., Greenspan, E., Staats, S., Krahn, T., Tyler‐Smith, C., Xue, Y., Tofanelli, S., Francalacci, P., Cucca, F., Pagani, L., et al. (2013) · Genome Biology and Evolution · doi:10.1093/gbe/evt066 · Cited by 59
Keating, B. J., Bansal, A. T., Walsh, S., Millman, J. S., Newman, J., Kídd, K. K., Budowle, B., Eisenberg, A. J., Donfack, J., Gasparini, P., et al. (2012) · International Journal of Legal Medicine · doi:10.1007/s00414-012-0788-1 · Cited by 58
Recent advances in the study of fine-scale population structure in humans
Novembre, J., & Peter, B. M. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.08.007 · Cited by 58
A genetic history of migration, diversification, and admixture in Asia
Yang, M. A. (2022) · Human Population Genetics and Genomics · doi:10.47248/hpgg2202010001 · Cited by 59
Empirical Distributions of FST from Large-Scale Human Polymorphism Data
Elhaik, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049837 · Cited by 60
A Vietnamese human genetic variation database
Le, V. S., Tran, K. T., Bui, H. T. P., Le, H. T. T., Nguyen, C. D., Duong, H., Ly, H. T. T., Pham, L. T. D., Dao, L. T. M., & Liêm, N. T. (2019) · Human Mutation · doi:10.1002/humu.23835 · Cited by 56
Marcinek, P., Jha, A. N., Shinde, V., Sundaramoorthy, A., Rajkumar, R., Suryadevara, N., Neela, S. K., Tong, H. V., Vellingiri, B., Valluri, V. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073103 · Cited by 56
Complex genetic origin of Indian populations and its implications
Tamang, R., Singh, L., & Kumarasamy Thangaraj, K. (2012) · Journal of Biosciences · doi:10.1007/s12038-012-9256-9 · Cited by 56
Self-citationOpportunities and challenges for gut microbiome studies in the Indian population
Shetty, S. A., Marathe, N. P., & Shouche, Y. S. (2013) · Microbiome · doi:10.1186/2049-2618-1-24 · Cited by 57
Lavretsky, P., DaCosta, J. M., Sorenson, M. D., McCracken, K. G., & Peters, J. L. (2019) · Molecular Ecology · doi:10.1111/mec.15091 · Cited by 56
Irish, J. D., Morez, A., Girdland-Flink, L., Phillips, E., & Scott, G. R. (2020) · American Journal of Physical Anthropology · doi:10.1002/ajpa.24052 · Cited by 62
Genetic diversity and effective population sizes of thirteen Indian cattle breeds
Strucken, E. M., Gebrehiwot, N. Z., Swaminathan, M., Joshi, S., Kalaldeh, M. A., & Gibson, J. P. (2021) · Genetics Selection Evolution · doi:10.1186/s12711-021-00640-3 · Cited by 58
Advancements and Challenges in Ancient DNA Research: Bridging the Global North–South Divide
Dalal, V., Pasupuleti, N., Chaubey, G., Rai, N., & Shinde, V. S. (2023) · Genes · doi:10.3390/genes14020479 · Cited by 63
The phased pan-genome of tetraploid European potato
Sun, H., Tusso, S., Dent, C., Goel, M., Wijfjes, R. Y., Correa-Baus, L., Xiao, D., Campoy, J. A., Kurdadze, A., Walkemeier, B., et al. (2025) · Nature · doi:10.1038/s41586-025-08843-0 · Cited by 56
Genetic evidence for an origin of the Armenians from Bronze Age mixing of multiple populations
Haber, M., Mezzavilla, M., Xue, Y., Comas, D., Gasparini, P., Zalloua, P., & Tyler‐Smith, C. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.206 · Cited by 56
Leon, D. A., & Moser, K. A. (2010) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2010.112516 · Cited by 55
Bai, H., Guo, X., Narisu, N., Lan, T., Wu, Q., Xing, Y., Zhang, Y., Bond, S. R., Pei, Z., Zhang, Y., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0250-5 · Cited by 55
How Do We Choose Our Identity? A Revealed Preference Approach Using Food Consumption
Atkin, D., Colson-Sihra, E., & Shayo, M. (2019) · National Bureau of Economic Research · doi:10.3386/w25693 · Cited by 55
Selection on ancestral genetic variation fuels repeated ecotype formation in bottlenose dolphins
Louis, M., Galimberti, M., Archer, F. I., Berrow, S., Brownlow, A. C., Fallon, R., Nykänen, M., O’Brien, J. M., Robertson, K. M., Rosel, P. E., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg1245 · Cited by 63
A need for standardized reporting of introgression: Insights from studies across eukaryotes
Dagilis, A. J., Peede, D., Coughlan, J. M., Jofre, G. I., D’Agostino, E. R. R., Mavengere, H., Tate, A. D., & Matute, D. R. (2022) · Evolution Letters · doi:10.1002/evl3.294 · Cited by 58
Molecular epidemiology of tuberculosis in India: Moving forward with a systems biology approach
Ahmed, N., & Hasnain, S. E. (2011) · Tuberculosis · doi:10.1016/j.tube.2011.03.006 · Cited by 54
Rajasimha, H. K., SHIROL, P. B., Ramamoorthy, P., Hegde, M., BARDE, S., Chandru, V., RAVINANDAN, M. E., Ramchandran, R., Haldar, K., Lin, J., et al. (2014) · Genetics Research · doi:10.1017/s0016672314000111 · Cited by 54
McTavish, E. J., & Hillis, D. M. (2015) · BMC Genomics · doi:10.1186/s12864-015-1469-5 · Cited by 59
Khor, A. H., Lim, K. S., Tan, C., Wong, S., & Ng, C. C. (2014) · Epilepsia · doi:10.1111/epi.12802 · Cited by 54
Sengupta, D., Choudhury, A., Basu, A., & Ramsay, M. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw244 · Cited by 54
Inference of recombination maps from a single pair of genomes and its application to ancient samples
Barroso, G. V., Puzović, N., & Dutheil, J. Y. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008449 · Cited by 56
Sen, S., Pasi, A. R., Dada, R., Shamsi, M. B., & Modi, D. N. (2013) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-013-9933-0 · Cited by 54
Senapati, S., Singh, S. T., Das, M., Kumar, A., Gupta, R., Kumar, U., Jain, S. K., Juyal, R. C., & Thelma, B. K. (2014) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0000000000000036 · Cited by 53
Investigating Population History Using Temporal Genetic Differentiation
Skoglund, P., Sjödin, P., Skoglund, T., Lascoux, M., & Jakobsson, M. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu192 · Cited by 60
Colonization and genetic diversification processes of Leishmania infantum in the Americas
Schwabl, P., Boité, M. C., Bussotti, G., Jacobs, A., Andersson, B., Moreira, O. C., Freitas-Mesquita, A. L., Meyer‐Fernandes, J. R., Telleria, E. L., Traub-Csekö, Y. M., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-01658-5 · Cited by 53
Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes
Razali, R., Rodríguez-Flores, J. L., Ghorbani, M., Naeem, H., Aamer, W., ALIYEV, E. E., Jubran, A., Qatar Genome Project Management, Ismail, S. I., Al‐Muftah, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25287-y · Cited by 55
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Alsmadi, O. A., Thareja, G., Alkayal, F., Rajagopalan, R., John, S. E., Hebbar, P., Behbehani, K., & Thanaraj, T. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074913 · Cited by 52
Nationwide Genomic Study in Denmark Reveals Remarkable Population Homogeneity
Athanasiadis, G. I., Cheng, J. Y., Vilhjálmsson, B. J., Jørgensen, F. G., Als, T. D., Hellard, S. L., Espeseth, T., Sullivan, P. F., Hultman, C. M., Kjærgaard, P. C., et al. (2016) · Genetics · doi:10.1534/genetics.116.189241 · Cited by 54
Singhal, S., Grundler, M. R., Colli, G. R., & Rabosky, D. L. (2017) · Molecular Ecology Resources · doi:10.1111/1755-0998.12681 · Cited by 53
Popovic, I., Matias, A. M. A., Bierne, N., & Riginos, C. (2019) · Evolutionary Applications · doi:10.1111/eva.12857 · Cited by 56
Genome-Wide and Paternal Diversity Reveal a Recent Origin of Human Populations in North Africa
Fadhlaoui-Zid, K., Haber, M., Martínez-Cruz, B., Zalloua, P., Benammar Elgaaied, A., & Comas, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080293 · Cited by 52
Ramasamy, K., Narayan, S. K., & Adithan, C. (2010) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-010-0817-2 · Cited by 51
Bouchemousse, S., Liautard‐Haag, C., Bierne, N., & Viard, F. (2016) · Molecular Ecology · doi:10.1111/mec.13854 · Cited by 51
Makina, S. O., Whitacre, L. K., Decker, J. E., Taylor, J. F., MacNeil, M. D., Scholtz, M. M., van Marle-Köster, E., Muchadeyi, F. C., Makgahlela, M. L., & Maiwashe, A. (2016) · Genetics Selection Evolution · doi:10.1186/s12711-016-0266-1 · Cited by 51
Taylor, A. E., Sandeep, M. N., Janipalli, C. S., Giambartolomei, C., Evans, D. M., Kumar, M. V. K., Vinay, D. G., Smitha, P., Gupta, V., Aruna, M., et al. (2011) · Journal of Obesity · doi:10.1155/2011/307542 · Cited by 50
for the Indian Migration Study Group, Gupta, V., Vinay, D. G., Rafiq, S., Kranthikumar, M. V., Janipalli, C. S., Giambartolomei, C., Evans, D. M., Mani, K. R., Sandeep, M. N., et al. (2011) · Diabetologia · doi:10.1007/s00125-011-2355-6 · Cited by 51
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Elhaik, E. (2012) · Genome Biology and Evolution · doi:10.1093/gbe/evs119 · Cited by 53
The Genetic Ancestry of Modern Indus Valley Populations from Northwest India
Pathak, A. K., Kadian, A., Kushniarevich, A., Montinaro, F., Mondal, M., Ongaro, L., Singh, M., Kumar, P., Rai, N., Parik, J., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.10.022 · Cited by 52
The Timing and Direction of Introgression Under the Multispecies Network Coalescent
Hibbins, M. S., & Hahn, M. W. (2019) · Genetics · doi:10.1534/genetics.118.301831 · Cited by 54
Alter, S. E., Munshi‐South, J., & Stiassny, M. L. J. (2016) · Molecular Ecology · doi:10.1111/mec.13973 · Cited by 50
Admixture, Population Structure and F -statisticsPreprint
Peter, B. M. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/028753 · Cited by 50
Wang, H., Mitra, B., Chaudhuri, T. K., Palanichamy, M. G., Kong, Q., & Zhang, Y. (2011) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2011.02.005 · Cited by 49
Paleogenomics of Animal Domestication
Irving-Pease, E. K., Ryan, H., Jamieson, A., Dimopoulos, E. A., Larson, G., & Frantz, L. (2018) · Population genomics · doi:10.1007/13836_2018_55 · Cited by 50
Gupta, V., Khadgawat, R., Ng, H. K. T., Kumar, S., Aggarwal, A., Rao, V. R., & SACHDEVA, M. P. (2010) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2010.00580.x · Cited by 49
Natural positive selection and north–south genetic diversity in East Asia
Suo, C., Xu, H., Khor, C. C., Ong, R. T., Sim, X., Chen, J., Tay, W.-T., Sim, K. S., Zeng, Y., Zhang, X., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.139 · Cited by 50
Genomic view on the peopling of India
Tamang, R., & Kumarasamy Thangaraj, K. (2012) · Investigative Genetics · doi:10.1186/2041-2223-3-20 · Cited by 49
Rajan, R., Divya, K. P., Kandadai, R. M., Yadav, R., Satagopam, V., Madhusoodanan, U. K., Agarwal, P. A., Kumar, N., Ferreira, T., Kumar, H., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00524 · Cited by 51
Fuller, Z. L., Niño, E. L., Patch, H. M., Bedoya-Reina, O. C., Baumgarten, T., Muli, E., Mumoki, F. N., Ratan, A., McGraw, J., Frazier, M. T., et al. (2015) · BMC Genomics · doi:10.1186/s12864-015-1712-0 · Cited by 53
Pharmacogenomics in Psychiatry Practice: The Value and the Challenges
Alchakee, A., Ahmed, M., Eldohaji, L., Alhaj, H. A., & Saber-Ayad, M. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232113485 · Cited by 50
ArunKumar, G., Soria‐Hernanz, D. F., Kavitha, V. J., Arun, V. S., Syama, A., Ashokan, K. S., Gandhirajan, K. T., Vijayakumar, K., Narayanan, M., Jayalakshmi, M., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050269 · Cited by 48
McCormick, M. (2011) · The Journal of Interdisciplinary History · doi:10.1162/jinh_a_00214 · Cited by 48
Aye-aye population genomic analyses highlight an important center of endemism in northern Madagascar
Perry, G. H., Louis, E. E., Ratan, A., Bedoya-Reina, O. C., Burhans, R. C., Lei, R., Johnson, S. E., Schuster, S. C., & Miller, W. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211990110 · Cited by 48
Sazzini, M., Gnecchi‐Ruscone, G. A., Giuliani, C., Sarno, S., Quagliariello, A., Fanti, S. D., Boattini, A., Gentilini, D., Fiorito, G., Catanoso, M., et al. (2016) · Scientific Reports · doi:10.1038/srep32513 · Cited by 53
Kausthubham, N., Shukla, A., Gupta, N., Bhavani, G. S., Kulshrestha, S., Bhowmik, A. D., Moirangthem, A., Bijarnia‐Mahay, S., Kabra, M., Puri, R. D., et al. (2021) · Human Mutation · doi:10.1002/humu.24172 · Cited by 49
He, G., Li, Y., Wang, M., Zou, X., Yeh, H., Yang, X., Wang, Z., Tang, R., Zhu, S., Guo, J., et al. (2020) · Journal of Systematics and Evolution · doi:10.1111/jse.12670 · Cited by 47
Wong, L.-P., Lai, J. K. H., Saw, W., Ong, R. T., Cheng, A. Y., Pillai, N. E., Liu, X., Xu, W., Chen, P., Foo, J. N., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004377 · Cited by 49
Implications for health and disease in the genetic signature of the Ashkenazi Jewish population
Guha, S., Rosenfeld, J., Malhotra, A. K., Lee, A. T., Gregersen, P. K., Kane, J. M., Pe’er, I., Darvasi, A., & Lencz, T. (2012) · Genome biology · doi:10.1186/gb-2012-13-1-r2 · Cited by 48
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Lozier, J. D., Jackson, J. M., Dillon, M. E., & Strange, J. P. (2016) · Ecology and Evolution · doi:10.1002/ece3.1928 · Cited by 49
Zhang, Z., Xiao, Q., Zhang, Q., Sun, H., Chen, J.-C., Li, Z.-C., Xue, M., Ma, P., Yang, H., Xu, N., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31802-x · Cited by 47
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Tätte, K., Pagani, L., Pathak, A. K., Kõks, S., Duy, B. H., Ho, X. D., Sultana, G. N. N., Sharif, M. I., Asaduzzaman, M., Behar, D. M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-40399-8 · Cited by 48
A framework for research into continental ancestry groups of the UK Biobank
Constantinescu, A., Mitchell, R. E., Zheng, J., Bull, C. J., Timpson, N. J., Amulic, B., Vincent, E. E., & Hughes, D. A. (2022) · Human Genomics · doi:10.1186/s40246-022-00380-5 · Cited by 49
High-resolution genomic history of early medieval Europe
Speidel, L., Silva, M. S. D., Booth, T. J., Raffield, B., Anastasiadou, K., Barrington, C., Götherström, A., Heather, P., & Skoglund, P. (2025) · Nature · doi:10.1038/s41586-024-08275-2 · Cited by 48
Rawat, A. K., Singh, S., Suri, D., Gupta, A., Saikia, B., Minz, R. W., Sehgal, S., Vaiphei, K., Kamae, C., Honma, K., et al. (2013) · Journal of Clinical Immunology · doi:10.1007/s10875-013-9963-5 · Cited by 47
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Yadav, S., Hasan, N., Marjot, T., Khan, M. S., Prasad, K., Bentley, P., & Sharma, P. K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057305 · Cited by 47
Metadata
- Authors
- Reich, D., Thangaraj, K., Patterson, N., Price, A. L., & Singh, L.
- Affiliations
- Harvard University (US)
- Broad Institute (US)
- Centre for Cellular and Molecular Biology (IN)
- Corresponding author
- Reich, David
- Singh, Lalji
- Venue
- Nature
- Published
- 2009-09
- Volume
- 461
- Issue
- 7263
- Pages
- 489-494
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC2842210
- OpenAlex
- W2119228812
- Cited by
- 1,674
- References
- 53
- Citations by year
- 2026: 67 · 2025: 122 · 2024: 104 · 2023: 70 · 2022: 116 · 2021: 147 · 2020: 119 · 2019: 108 · 2018: 112 · 2017: 103 · 2016: 102 · 2015: 101 · 2014: 88 · 2013: 93 · 2012: 61
- FWCI
- 42.70
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- UK-India Education and Research Initiative
- Council of Scientific and Industrial Research, India
- National Institutes of Health
- National Human Genome Research Institute (R01HG006399, U01HG004168, HG004168)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Social Sciences › Anthropology › Race, Genetics, and Society
- Keywords
- population structure, ancestry estimation, endogamy, founder effect, allele frequency differences, genetic admixture
- MeSH terms
- Asia, DNA, Mitochondrial, Ethnicity, Europe, Female, Gene Frequency, Genes, Recessive, Genetics, Medical, Genetics, Population, Genotype, Geography, Humans, India, Language, Male, Middle East, Phylogeny, Genetic Variation, Linkage Disequilibrium, Genome, Human, Founder Effect, Polymorphism, Single Nucleotide, Genomics, Principal Component Analysis, Chromosomes, Human, Y, Racial Groups
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