The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“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]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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.”
From Ancient DNA analysis (2021) · cites this paper as [218]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
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 501–600 of 1,001
A geometric relationship of F 2, F 3 and F 4-statistics with principal component analysis
Peter, B. M. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0413 · Cited by 36
Inferring Population Histories Using Genome-Wide Allele Frequency Data
Gautier, M., & Vitalis, R. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss257 · Cited by 35
Impact of genetic similarity on imputation accuracy
Roshyara, N. R., & Scholz, M. R. (2015) · BMC Genetics · doi:10.1186/s12863-015-0248-2 · Cited by 34
Bidirectional adaptive introgression between two ecologically divergent sparrow species
Walsh, J., Kovach, A. I., Olsen, B. J., Shriver, W. G., & Lovette, I. J. (2018) · Evolution · doi:10.1111/evo.13581 · Cited by 34
Kim, J., Jeong, S., Kim, K. H., Lim, W.-J., Lee, H., & Kim, N. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00699 · Cited by 35
Reconsidering cytonuclear discordance in the genomic age
Larson, D. A., Itgen, M. W., Denton, R. D., & Hahn, M. W. (2025) · Evolution · doi:10.1093/evolut/qpaf201 · Cited by 34
Krishnakumar, D., Umamaheswaran, G., Dhandapani, K., Surendiran, A., Baghel, R., Kukreti, R., Gangadhar, R., Prayaga, U., Manjunath, S., & Adithan, C. (2011) · Fundamental and Clinical Pharmacology · doi:10.1111/j.1472-8206.2010.00917.x · Cited by 33
p53 and Risk of Endometriosis in Indian Women
Govatati, S., Chakravarty, B., Deenadayal, M., Kodati, V. L., Manolla, M. L., Sisinthy, S., & Bhanoori, M. (2012) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2011.0295 · Cited by 33
MBL2Variations and Malaria Susceptibility in Indian Populations
Jha, A. N., Sundaravadivel, P., Singh, V. K., Pati, S. S., Patra, P. K., Kremsner, P. G., Velavan, T. P., Singh, L., & Kumarasamy Thangaraj, K. (2013) · Infection and Immunity · doi:10.1128/iai.01041-13 · Cited by 33
Self-citationAssociation studies in outbred mice in a new era of full-genome sequencing
Yalcin, B., & Flint, J. (2012) · Mammalian Genome · doi:10.1007/s00335-012-9409-z · Cited by 33
Gazave, É., Tassone, E. E., Ilut, D. C., Wingerson, M., Datema, E., Witsenboer, H. M. A., Davis, J. B., Grant, D., Dyer, J. M., Jenks, M. A., et al. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.00525 · Cited by 36
Ancient Human Migrations to and through Jammu Kashmir- India were not of Males Exclusively
Sharma, I., Sharma, V., Khan, A., Kumar, P., Rai, E., Bamezai, R. N. K., Vilar, M. G., & Sharma, S. (2018) · Scientific Reports · doi:10.1038/s41598-017-18893-8 · Cited by 33
Phylogenomic analyses confirm a novel invasive North AmericanCorbicula(Bivalvia: Cyrenidae) lineage
Haponski, A. E., & Foighil, D. Ó. (2019) · PeerJ · doi:10.7717/peerj.7484 · Cited by 33
The impact of genetic adaptation on chimpanzee subspecies differentiation
Schmidt, J. M., de Manuel, M., Marquès‐Bonet, T., Castellano, S., & Andrés, A. M. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008485 · Cited by 35
Zhang, Y., Vaidya, N., Iyengar, U., Sharma, E., Holla, B., Ahuja, C. K., Barker, G. J., Basu, D., Bharath, R. D., Chakrabarti, A., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0656-1 · Cited by 35
Self-citationLandini, A., Yu, S., Gnecchi‐Ruscone, G. A., Abondio, P., Ojeda‐Granados, C., Sarno, S., Fanti, S. D., Gentilini, D., Blasio, A. M. D., Jin, H., et al. (2020) · Evolutionary Applications · doi:10.1111/eva.13090 · Cited by 33
He, Y. H., Xing, Y.-T., Meng, H., He, B., Li, W., Qi, X.-Z., Zhao, J.-Y., Zhuang, Y., Xu, X. J., Yamaguchi, N., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg0221 · Cited by 34
Baiakhmetov, E., Ryzhakova, D., Дмитриевна, Г. П., & Nobis, M. (2021) · BMC Plant Biology · doi:10.1186/s12870-021-03287-w · Cited by 34
No link between population isolation and speciation rate in squamate reptiles
Singhal, S., Colli, G. R., Grundler, M. R., Costa, G. C., Prates, I., & Rabosky, D. L. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2113388119 · Cited by 33
Genomes, Populations and Diseases: Ethnic Genomics and Personalized Medicine
Степанов, В. А. (2010) · Acta Naturae · doi:10.32607/20758251-2010-2-4-15-30 · Cited by 33
Early Complement Component Deficiency in a Single-Centre Cohort of Pediatric Onset Lupus
Bhattad, S., Rawat, A. K., Gupta, A., Suri, D., Garg, R., de Boer, M., Kuijpers, T. W., & Singh, S. (2015) · Journal of Clinical Immunology · doi:10.1007/s10875-015-0212-y · Cited by 33
Deep History of East Asian Populations Revealed Through Genetic Analysis of the Ainu
Jeong, C., Nakagome, S., & Rienzo, A. D. (2015) · Genetics · doi:10.1534/genetics.115.178673 · Cited by 33
Significance testing for small annotations in stratified LD-Score regressionPreprint
Tashman, K. C., Cui, R., O’Connor, L. J., Neale, B. M., & Finucane, H. K. (2021) · medRxiv · doi:10.1101/2021.03.13.21249938 · Cited by 33
Demos, T. C., Peterhans, J. C. K., Joseph, T., Robinson, J. D., Agwanda, B. R., & Hickerson, M. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131800 · Cited by 32
Model‐based demographic inference of introgression history in European whitefish species pairs'
Rougeux, C., Gagnaire, P., & Bernatchez, L. (2019) · Journal of Evolutionary Biology · doi:10.1111/jeb.13482 · Cited by 33
Chen, P., Wu, J., Luo, L., Gao, H., Wang, M., Zou, X., Li, Y., Chen, G., Luo, H., Yu, L., et al. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01045 · Cited by 33
Ahsan, T., Urmi, N. J., & Sajib, A. A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228000 · Cited by 33
Interspecific Gene Flow and the Evolution of Specialization in Black and White Rhinoceros
Moodley, Y., Westbury, M. V., Russo, I. M., Gopalakrishnan, S., Rakotoarivelo, A. R., Olsen, R., Prost, S., Tunstall, T. S., Ryder, O. A., Dalén, L., et al. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa148 · Cited by 34
Genome-wide signatures of synergistic epistasis during parallel adaptation in a Baltic Sea copepod
Stern, D., Anderson, N. W., Diaz, J. A., & Lee, C. E. (2022) · Nature Communications · doi:10.1038/s41467-022-31622-8 · Cited by 34
Wu, Z., Lou, Y., Jin, W., Liu, Y., Lu, L., & Lü, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0053105 · Cited by 34
Lower risk of venous thromboembolism in multiple Asian ethnic groups
Tran, H., & Klatsky, A. L. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.01.006 · Cited by 32
Identifying genetic relatives without compromising privacyPreprint
He, D., Furlotte, N. A., Hormozdiari, F., Joo, J. W. J., Wadia, A., Ostrovsky, R., Sahai, A., & Eskin, E. (2014) · Genome Research · doi:10.1101/gr.153346.112 · Cited by 32
Tracing Bai-Yue Ancestry in Aboriginal Li People on Hainan Island
Chen, H., Lin, R., Lü, Y., Zhang, R., Gao, Y., He, Y., & Xu, S. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac210 · Cited by 32
Wang, Z., Liu, K., Yuan, H., Duan, S., Liu, Y., Luo, L., Jiang, X., Chen, S., Wei, L., Tang, R., et al. (2025) · Genomics Proteomics & Bioinformatics · doi:10.1093/gpbjnl/qzaf049 · Cited by 31
Inference of biogeographical ancestry across central regions of Eurasia
Bülbül, Ö., Filoğlu, G., Zorlu, T., Altunçul, H., Freire-Aradas, A., Söchtig, J., Ruíz, Y., Klintschar, M., Triki, S., Rebaï, A., et al. (2015) · International Journal of Legal Medicine · doi:10.1007/s00414-015-1246-7 · Cited by 31
Kommoju, U. J., Maruda, J., Samy, S. K., Irgam, K., Kotla, J. P., & Reddy, B. M. (2014) · Journal of Diabetes · doi:10.1111/1753-0407.12142 · Cited by 31
Ali, M. I., Liu, X., Pillai, N. E., Chen, P., Khor, C. C., Ong, R. T., & Teo, Y. (2014) · BMC Genetics · doi:10.1186/1471-2156-15-86 · Cited by 34
Efficiency and Power as a Function of Sequence Coverage, SNP Array Density, and Imputation
Flannick, J. A., Korn, J. M., Fontanillas, P., Grant, G., Banks, E., DePristo, M. A., & Altshuler, D. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002604 · Cited by 32
Mattingsdal, M., Jorde, P. E., Knutsen, H., Jentoft, S., Stenseth, N. C., Sodeland, M., Robalo, J. I., Hansen, M. M., André, C., & Gonzalez, E. B. (2019) · Molecular Ecology · doi:10.1111/mec.15310 · Cited by 33
Population Genomics of Yams: Evolution and Domestication of Dioscorea Species
Sugihara, Y., Kudoh, A., Tamiru, M., Takagi, H., Natsume, S., Shimizu, M., Abe, A., Asiedu, R., Asfaw, A., Adebola, P. O., et al. (2021) · Population genomics · doi:10.1007/13836_2021_94 · Cited by 31
Hibbins, M. S., Breithaupt, L. C., & Hahn, M. W. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2220389120 · Cited by 37
Social environment influences the relationship between genotype and gene expression in wild baboons
Runcie, D. E., Wiedmann, R. T., Archie, E. A., Jeanne Altmann, A., Wray, G. A., Alberts, S. C., & Tung, J. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0345 · Cited by 32
Refining the South Asian Origin of the Romani people
Melegh, B., Bánfai, Z., Hadzsiev, K., Miseta, A., & Melegh, B. (2017) · BMC Genetics · doi:10.1186/s12863-017-0547-x · Cited by 33
Kuang, W., Chen, M., Li, H., Wu, H., Frantz, L., Roos, C., Zhang, Y., Zhang, C., Jia, T., Yang, J., et al. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy220 · Cited by 31
Highly replicated evolution of parapatric ecotypes
James, M. E., Arenas-Castro, H., Groh, J. S., Allen, S. L., Engelstädter, J., & Ortiz-Barrientos, D. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab207 · Cited by 30
Jha, A. N., Singh, V. K., Kumari, N., Singh, A., Antony, J. S., Tong, H. V., Singh, S., Pati, S. S., Patra, P. K., Rajender, S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048136 · Cited by 30
Self-citationChaudhari, R., & Dahiya, M. S. (2014) · Indian journal of human genetics · doi:10.4103/0971-6866.142879 · Cited by 30
c.620C>T mutation in GATA4 is associated with congenital heart disease in South India
Mattapally, S., Nizamuddin, S., Murthy, K. S., Kumarasamy Thangaraj, K., & Banerjee, S. (2015) · BMC Medical Genetics · doi:10.1186/s12881-015-0152-7 · Cited by 30
Jajodia, A., Kaur, H., Kumari, K., Gupta, M., Baghel, R., Srivastava, A., Sood, M., Chadda, R. K., Jain, S., & Kukreti, R. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2014.12.031 · Cited by 31
Singh, M., Sarkar, A., & Nandineni, M. R. (2018) · Scientific Reports · doi:10.1038/s41598-018-33714-2 · Cited by 30
Established and emerging strategies to crack the genetic code of obesity
Tam, V., Turcotte, M., & Meyre, D. (2018) · Obesity Reviews · doi:10.1111/obr.12770 · Cited by 31
Lambert, S. M., Streicher, J. W., Fisher‐Reid, M. C., la Cruz, F. R. M., Martínez‐Méndez, N., García‐Vázquez, U. O., de, A. N., & Wiens, J. J. (2018) · Molecular Ecology Resources · doi:10.1111/1755-0998.12972 · Cited by 30
Wang, M., He, G., Zou, X., Chen, P., Wang, Z., Tang, R., Yang, X., Chen, J., Yang, M., Li, Y., et al. (2022) · Journal of Systematics and Evolution · doi:10.1111/jse.12825 · Cited by 30
Revealing the recent demographic history of Europe via haplotype sharing in the UK Biobank
Gilbert, E. H., Shanmugam, A., & Cavalleri, G. L. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2119281119 · Cited by 32
Genetic landscape of populations along the Silk Road: admixture and migration patterns
Mezzavilla, M., Vozzi, D., Pirastu, N., Girotto, G., D’Adamo, P., Gasparini, P., & Colonna, V. (2014) · BMC Genetics · doi:10.1186/s12863-014-0131-6 · Cited by 31
Clinical Applications and Implications of Common and Founder Mutations in Indian Subpopulations
Ankala, A., Tamhankar, P. M., Valencia, C. A., Rayam, K. K., Kumar, M. M., & Hegde, M. (2014) · Human Mutation · doi:10.1002/humu.22704 · Cited by 30
Mondal, P., Datta, S., Maiti, G. P., Baral, A., Jha, G. N., Panda, C. K., Chowdhury, S., Ghosh, S., Roy, B., & Roychoudhury, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056952 · Cited by 30
Recent Admixture in an Indian Population of African Ancestry
Narang, A., Jha, P., Rawat, V., Mukhopadhayay, A., Dash, D., Basu, A., & Mukerji, M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.06.004 · Cited by 30
Harris, A. M., & DeGiorgio, M. (2017) · Human Biology · doi:10.13110/humanbiology.89.1.02 · Cited by 31
Gnecchi‐Ruscone, G. A., Jeong, C., Fanti, S. D., Sarno, S., Trancucci, M., Gentilini, D., Blasio, A. M. D., Sherpa, M. G., Sherpa, P. T., Marinelli, G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-15862-z · Cited by 31
The Simons Genome Diversity Project: A Global Analysis of Mobile Element Diversity
Watkins, W. S., Feusier, J. E., Thomas, J., Goubert, C., Mallick, S., & Jorde, L. B. (2020) · Genome Biology and Evolution · doi:10.1093/gbe/evaa086 · Cited by 32
Limaye, N. (2013) · Applied & Translational Genomics · doi:10.1016/j.atg.2013.05.002 · Cited by 29
Singh, S., Rawat, A. K., Suri, D., Gupta, A., Garg, R., Saikia, B., Minz, R. W., Sehgal, S., Chan, K. W., Lau, Y., et al. (2016) · Annals of Allergy Asthma & Immunology · doi:10.1016/j.anai.2016.07.044 · Cited by 29
Mahal, D. G., & Matsoukas, I. G. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00004 · Cited by 29
The genetic makings of South Asia
Metspalu, M., Mondal, M., & Chaubey, G. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.09.003 · Cited by 30
Freitas, S., Westram, A. M., Schwander, T., Arakelyan, M., Ilgaz, Ç., Kumlutaş, Y., Harris, D. J., Carretero, M. Á., & Butlin, R. K. (2022) · Evolution · doi:10.1111/evo.14462 · Cited by 29
The Tibetan-Yi region is both a corridor and a barrier for human gene flow
Zhang, Z., Zhang, Y., Wang, Y., Zhao, Z., Yang, M. A., Zhang, L., Zhou, B., Xu, B., Zhang, H., Chen, T., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110720 · Cited by 30
Consanguineous marriages and congenital anomalies
Bittles, A. H. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61503-2 · Cited by 29
Population and genomic lessons from genetic analysis of two Indian populations
Juyal, G., Mondal, M., Luisi, P., Laayouni, H., Sood, A., Midha, V., Heutink, P., Bertranpetit, J., Thelma, B. K., & Casals, F. (2014) · Human Genetics · doi:10.1007/s00439-014-1462-0 · Cited by 30
Obesity genetics: insights from the Pakistani population
Pigeyre, M., Saqlain, M., Turcotte, M., Raja, G. K., & Meyre, D. (2017) · Obesity Reviews · doi:10.1111/obr.12644 · Cited by 29
Yancan, L., Chao, T., Yunhan, F., Delong, L., & Guizhi, W. (2019) · BMC Genomics · doi:10.1186/s12864-019-6246-4 · Cited by 29
Karamperis, K., Katz, S., Melograna, F., Ganau, F. P., Steen, K. V., Patrinos, G. P., & Lao, Ó. (2024) · iScience · doi:10.1016/j.isci.2024.110916 · Cited by 28
Umamaheswaran, G., & Shewade, D. G. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-386882-4.00046-3 · Cited by 28
Stock, J. T. (2013) · Human Biology · doi:10.3378/027.085.0304 · Cited by 28
Bulbeck, D. (2013) · Human Biology · doi:10.3378/027.085.0305 · Cited by 29
Ontogenetic and Genetic Influences on Bone’s Responsiveness to Mechanical Signals
Wallace, I. J., Demes, B., & Judex, S. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316388907.011 · Cited by 28
Brooks, B. A., Hoff, K., & Pandey, P. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804639115 · Cited by 28
Kessler, M. D., Bateman, N. W., Conrads, T. P., Maxwell, G. L., Hotopp, J. C. D., & O’Connor, T. D. (2019) · Cancer · doi:10.1002/cncr.32020 · Cited by 29
Evaluating wildlife translocations using genomics: A bighorn sheep case study
Flesch, E. P., Graves, T. A., Thomson, J. M., Proffitt, K. M., White, P. J. C., Stephenson, T. R., & Garrott, R. A. (2020) · Ecology and Evolution · doi:10.1002/ece3.6942 · Cited by 28
Mercier, A., Simon, A., Lapalu, N., Giraud, T., Bardin, M., Walker, A., Viaud, M., & Gladieux, P. (2021) · Phytopathology · doi:10.1094/phyto-07-20-0302-fi · Cited by 28
Fan, H., Du, Z., Wang, F., Wang, X., Wen, S., Wang, L., Du, P., Liu, H., Cao, S., Luo, Z., et al. (2021) · International Journal of Legal Medicine · doi:10.1007/s00414-021-02590-3 · Cited by 28
Shah, S., Shah, S., Padh, H., & Kalia, K. (2015) · Oral Surgery Oral Medicine Oral Pathology and Oral Radiology · doi:10.1016/j.oooo.2015.08.003 · Cited by 28
Apolipoprotein E Polymorphism and Dementia: A Hospital-Based Study from Southern India
Bharath, S., Purushottam, M., Mukherjee, O., Bagepally, B. S., Prakash, O., Kota, L., Krishnappa, S. B., Sivakumar, P. T., Jain, S., & Varghese, M. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000322093 · Cited by 28
Current Status of the Use of Single-Nucleotide Polymorphisms in Forensic Practices
Cantürk, K. M., Emre, R., Kınoğlu, K., Başpınar, B., Şahin, F., & Özen, M. (2014) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2013.0466 · Cited by 28
Manoharan, A., Shewade, D. G., Rajkumar, R. P., & Adithan, C. (2016) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-016-2099-9 · Cited by 28
Characterising private and shared signatures of positive selection in 37 Asian populations
Liu, X., Lu, D., Saw, W., Shaw, P. J., Wangkumhang, P., Ngamphiw, C., Fucharoen, S., Lert-itthiporn, W., Chin-inmanu, K., Chau, T. N. B., et al. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2016.181 · Cited by 28
Fuller, Z. L., Koury, S. A., Leonard, C. J., Young, R. E., Ikegami, K., Westlake, J. D., Richards, S., Schaeffer, S. W., & Phadnis, N. (2020) · Genetics · doi:10.1534/genetics.120.303460 · Cited by 28
On species delimitation, hybridization and population structure of cassava whitefly in Africa
Elfékih, S., Tay, W. T., Polaszek, A., Gordon, K. H. J., Kunz, D., Macfadyen, S., Walsh, T., Vyskočilová, S., Colvin, J., & Barro, P. J. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-87107-z · Cited by 28
Discovery of Genomic Characteristics and Selection Signatures in Southern Chinese Local Cattle
Liu, Y., Xu, L., Yang, L., Zhao, G., Li, J., Liu, D., & Li, Y. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.533052 · Cited by 27
Genetic diversity of maize landraces from the South-West of France
Diaw, Y., Tollon‐Cordet, C., Charcosset, A., Nicolas, S., Madur, D., Ronfort, J., David, J., & Gouesnard, B. (2021) · PLoS ONE · doi:10.1371/journal.pone.0238334 · Cited by 27
Bouzid, N. M., Archie, J. W., Anderson, R. A., Grummer, J. A., & Leaché, A. D. (2021) · Molecular Ecology · doi:10.1111/mec.15836 · Cited by 27
Wogan, G. O. U., Yuan, M. S., Mahler, D. L., & Wang, I. (2023) · Systematic Biology · doi:10.1093/sysbio/syad026 · Cited by 27
Genomic copy number variations in three Southeast Asian populations
Ku, C., Yudi Pawitan, Y., Sim, X., Ong, R. T., Seielstad, M. T., Lee, E. J. D., Teo, Y., Chia, K. S., & Salim, A. (2010) · Human Mutation · doi:10.1002/humu.21287 · Cited by 27
Kommoju, U. J., Maruda, J., Samy, S. K., Irgam, K., Kotla, J. P., Velaga, L., & Reddy, B. M. (2013) · Meta Gene · doi:10.1016/j.mgene.2013.09.003 · Cited by 27
Genetic structure of the four wild tomato species in theSolanum peruvianums.l. species complex
Labate, J. A., Robertson, L. D., Strickler, S. R., & Mueller, L. A. (2014) · Genome · doi:10.1139/gen-2014-0003 · Cited by 27
Local and global patterns of admixture and population structure in Iranian native cattle
Karimi, K., Strucken, E. M., Moghaddar, N., Ferdosi, M., Esmailizadeh, A., & Gondro, C. (2016) · BMC Genetics · doi:10.1186/s12863-016-0416-z · Cited by 27
Kommoju, U. J., Samy, S. K., Maruda, J., Irgam, K., Kotla, J. P., Velaga, L., & Reddy, B. M. (2016) · The Indian Journal of Medical Research · doi:10.4103/0971-5916.184303 · Cited by 27
Ningombam, S. S., Chhungi, V., Newmei, M. K., Rajkumari, S., Devi, N. K., Mondal, P. R., & Saraswathy, K. N. (2018) · Gene · doi:10.1016/j.gene.2018.01.009 · Cited by 27
Leaché, A. D., Davis, H. R., Singhal, S., Fujita, M. K., Lahti, M. E., & Zamudio, K. R. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.678110 · Cited by 27
Chaubey, G., & Endicott, P. (2013) · Human Biology · doi:10.3378/027.085.0307 · Cited by 26
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review