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
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 801–900 of 1,001
Colomb, L., Flament, F., Wagle, A., & Agrawal, D. (2017) · International Journal of Cosmetic Science · doi:10.1111/ics.12431 · Cited by 17
Pagani, L., Colonna, V., Tyler‐Smith, C., & Ayub, Q. (2017) · PubMed · Cited by 17
French, C. M., Deutsch, M. S., Chávez, G., Almora, C. E., & Brown, J. L. (2019) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2019.05.021 · Cited by 17
Haplotypes on 9p21 Modify the Risk for Coronary Artery Disease Among Indians
AshokKumar, M., Emmanuel, C., Dhandapany, P. S., Rani, D. S., SaiBabu, R., Cherian, K. M., & Kumarasamy Thangaraj, K. (2010) · DNA and Cell Biology · doi:10.1089/dna.2010.1046 · Cited by 17
Reconstructing the History of Harappan civilization
Vahia, M., & Yadav, N. (2011) · Social Evolution & History · Cited by 17
Y-DNA genetic evidence reveals several different ancient origins in the Brahmin population
Mahal, D. G. (2020) · Molecular Genetics and Genomics · doi:10.1007/s00438-020-01725-2 · Cited by 16
Founder variants and population genomes—Toward precision medicine
Jain, A. K., Sharma, D., Bajaj, A., Gupta, V., & Scaria, V. (2021) · Advances in genetics · doi:10.1016/bs.adgen.2020.11.004 · Cited by 16
Elliott, K. S., Haber, M., Daggag, H., Busby, G., Sarwar, R., Kennet, D., Petraglia, M. D., Petherbridge, L. J., Yavari, P., Heard‐Bey, F., et al. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac039 · Cited by 17
Deep origins, distinct adaptations, and species-level status indicated for a glacial relict seal
Löytynoja, A., Pohjoismäki, J., Valtonen, M., Laakkonen, J., Morita, W., Kunnasranta, M., Väinölä, R., Olsen, M. T., Auvinen, P., & Jernvall, J. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2503368122 · Cited by 17
Carlus, S. J., Sarkar, S., Bansal, S. K., Singh, V., Singh, K., Jha, R. K., Sadasivam, N., Sadasivam, S. R., Gireesha, P. S., Kumarasamy Thangaraj, K., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151510 · Cited by 16
Christmas, M. J., Biffin, E., Breed, M. F., & Lowe, A. J. (2017) · Scientific Reports · doi:10.1038/srep41367 · Cited by 16
Summix: A method for detecting and adjusting for population structure in genetic summary data
Mackenzie, I. A., Matesi, G., Chen, S., Ronco, A., Marker, K. M., Hall, J. R., Scherenberg, R., Khajeh-Sharafabadi, M., Wu, Y., Gignoux, C. R., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.05.016 · Cited by 16
Genomics and ecological modelling clarify species integrity in a confusing group of butterflies
Campbell, E. O., MacDonald, Z. G., Gage, E., Gage, R. V., & Sperling, F. A. H. (2022) · Molecular Ecology · doi:10.1111/mec.16407 · Cited by 16
Bioarchaeological evidence of one of the earliest Islamic burials in the Levant
Srigyan, M., Bolívar, H., Ureña, I., Santana, J., Petersen, A. D., Iriarte, E., Kırdök, E., Bergfeldt, N., Mora, A., Jakobsson, M., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-03508-4 · Cited by 17
Francis, A., Singh, P., Rajender, S., Govindaraj, P., Tipirisetti, N. R., Surekha, D., Rao, D. R., Rao, L., Ramachandra, L., Vishnupriya, S., et al. (2013) · Mitochondrion · doi:10.1016/j.mito.2013.08.004 · Cited by 16
Tracing India's invisible threads
Chakravarti, A. (2009) · Nature · doi:10.1038/461487a · Cited by 16
Won, H., Kim, J., Kim, M., Kim, S., Park, J.-H., & Lee, K. (2010) · Cytokine · doi:10.1016/j.cyto.2010.03.007 · Cited by 16
Miller, K. M. W., Bracewell, R., Eisen, M. B., & Bachtrog, D. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx134 · Cited by 16
Gupta, V., & Ebrahim, S. B. J. (2010) · Diabetes · doi:10.2337/db10-0748 · Cited by 16
Topological stratification of continuous genetic variation in large biobanks
Diaz-Papkovich, A., Zabad, S., Snell, H., Ben-Eghan, C., Anderson-Trocmé, L., Femerling, G., Nathan, V., Patel, J., & Gravel, S. (2026) · PLoS Genetics · doi:10.1371/journal.pgen.1012068 · Cited by 15
Mezzavilla, M., Geppert, M., Tyler‐Smith, C., Roewer, L., & Xue, Y. (2014) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2014.11.005 · Cited by 17
NAT2 genetic variations among South Indian populations
Lakkakula, S., Pathapati, R. M., Chaubey, G., Munirajan, A. K., Bhaskar, L. V., & Maram, R. (2014) · Human Genome Variation · doi:10.1038/hgv.2014.14 · Cited by 15
Sharma, R., Matharoo, K., Kapoor, R., & Bhanwer, A. J. S. (2017) · Molecular Genetics and Genomics · doi:10.1007/s00438-017-1385-2 · Cited by 15
Genome-wide analysis of the diversity and ancestry of Korean dogs
Choi, B., Wijayananda, H. I., Lee, S.-H., Lee, D. H., Kim, J. S., Oh, S.-I., Park, E. W., Lee, C. K., & Lee, S. H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188676 · Cited by 15
Global demographic history of human populations inferred from whole mitochondrial genomes
Miller, E. F., Manica, A., & Amos, W. (2018) · Royal Society Open Science · doi:10.1098/rsos.180543 · Cited by 16
López, S., Thomas, M., van Dorp, L., Ansari‐Pour, N., Stewart, S., Jones, A., Jelinek, E., Chikhi, L., Parfitt, T., Bradman, N., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.07.013 · Cited by 16
Kulkarni, G., Singh, S. H., Pawar, M., Podar, R. S., & Bhanushali, N. (2020) · Journal of Conservative Dentistry · doi:10.4103/jcd.jcd_379_20 · Cited by 15
John, C. A. S., Buser, T. J., Kee, V. E., Kirilchik, S. V., Bogdanov, B. E., Neely, D., Sandel, M., & Aguilar, A. (2021) · Molecular Ecology · doi:10.1111/mec.16209 · Cited by 15
Frequency distribution of high risk alleles of CYP2C19, CYP2E1, CYP3A4 genes in Haryana population
Gulati, S., Yadav, A., Kumar, N., Kanupriya, Kumar, G., Aggarwal, N. K., & Gupta, R. (2014) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2014.03.013 · Cited by 15
Gupta, V., Somarajan, B. I., Kaur, J., Kaur, J., Kumar, S., Gupta, S., Chaurasia, A. K., Gupta, D., Kaushik, A., Mehta, A., et al. (2017) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-017-3853-0 · Cited by 15
Genomic analyses overturn two long-standing homoploid hybrid speciation hypotheses
Goulet‐Scott, B. E., Garner, A. G., & Hopkins, R. (2021) · Evolution · doi:10.1111/evo.14279 · Cited by 14
Janes, J. K., Worth, J. R. P., Batista, P. D., & Sperling, F. A. H. (2018) · Insect Systematics and Diversity · doi:10.1093/isd/ixy019 · Cited by 14
Hibbins, M. S., & Hahn, M. W. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009892 · Cited by 15
Scandura, M., Fabbri, G., Caniglia, R., Iacolina, L., Mattucci, F., Mengoni, C., Pante, G., Apollonio, M., & Mucci, N. (2022) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2022.833081 · Cited by 14
Komarova, V. A., & Lavrenchenko, L. A. (2022) · Biology Bulletin Reviews · doi:10.1134/s2079086422030045 · Cited by 16
Testing for differences in polygenic scores in the presence of confounding
Blanc, J., & Berg, J. J. (2025) · Genetics · doi:10.1093/genetics/iyaf071 · Cited by 15
Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses
Park, D. S., Brown, B. C., Eng, C. S., Huntsman, S., Hu, D., Torgerson, D. G., Burchard, E. G., & Zaitlen, N. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv230 · Cited by 15
Peterson, J. M. (2017) · Journal of South Asian Languages and Linguistics · doi:10.1515/jsall-2017-0008 · Cited by 14
Statistical methods for detecting admixture
Wangkumhang, P., & Hellenthal, G. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.08.002 · Cited by 15
Psonis, N., Antoniou, A., Karameta, E., Darriba, D., Stamatakis, A., Lymberakis, P., & Poulakakis, N. (2021) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2021.107121 · Cited by 14
Late onset Pompe Disease in India – Beyond the Caucasian phenotype
Puri, R. D., Setia, N., Vinu, N. S., Jagadeesh, S. M., Nampoothiri, S., Gupta, N., Muranjan, M. N., Bhat, M., Girisha, K. M., Kabra, M., et al. (2021) · Neuromuscular Disorders · doi:10.1016/j.nmd.2021.02.013 · Cited by 14
Chasing the origin of 23 recurrent BRCA1 mutations in Pakistani breast and ovarian cancer patients
Rashid, M. U., Muhammad, N., Naeemi, H., Shehzad, U., & Hamann, U. (2022) · International Journal of Cancer · doi:10.1002/ijc.34016 · Cited by 14
Grouping women of South Asian ethnicity for pregnancy research in New Zealand
de Graaff, E. C., Sadler, L. C., Lakhdhir, H., Simon‐Kumar, R., Peiris-John, R. J., Burgess, W., Okesene-Gafa, K. A. M., Cronin, R. S., McCowan, L. M. E., & Anderson, N. H. (2022) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/ajo.13626 · Cited by 14
Lynham, A. J., Knott, S., Underwood, J. F. G., Hubbard, L., Agha, S. S., Bisson, J. I., van den Bree, M. B. M., Chawner, S. J. R. A., Craddock, N. J., O’Donovan, M. C., et al. (2023) · BJPsych Open · doi:10.1192/bjo.2022.636 · Cited by 16
Interaction of the pre- and postnatal environment in the maternal immune activation model
Gundacker, A., Rico, L. C., Stöhrmann, P., Tillmann, K. E., Weber‐Stadlbauer, U., & Pollak, D. D. (2023) · Discover Mental Health · doi:10.1007/s44192-023-00042-5 · Cited by 15
Methods for Detecting and Correcting for Population Stratification
Edwards, T. L., & Gao, X. (2012) · Current Protocols in Human Genetics · doi:10.1002/0471142905.hg0122s73 · Cited by 15
CHATTERJEE, A., Basu, A., Chowdhury, A., Das, K., Sarkar-Roy, N., Majumder, P. P., & BASU, P. (2015) · Journal of Genetics · doi:10.1007/s12041-015-0494-0 · Cited by 14
Uddin, M. M. N., Ahmed, M. U., Islam, M. S., Islam, M. S., Sayeed, M. S. B., Kabir, Y., & Hasnat, A. (2014) · Asian Pacific Journal of Tropical Biomedicine · doi:10.12980/apjtb.4.2014apjtb-2014-0476 · Cited by 14
CD6 gene polymorphism rs17824933 is associated with multiple sclerosis in Indian population
D’Cunha, A., Pandit, L., & Malli, C. (2016) · Annals of Indian Academy of Neurology · doi:10.4103/0972-2327.192384 · Cited by 14
Das, R., & Upadhyai, P. (2017) · BMC Genetics · doi:10.1186/s12863-017-0579-2 · Cited by 14
Sanghera, D. K., Bejar, C., Sapkota, B. R., Wander, G. S., & Ralhan, S. K. (2018) · Scientific Reports · doi:10.1038/s41598-018-33981-z · Cited by 14
Smith, J. A., Zhao, W., Yu, M., Rumfelt, K. E., Moorjani, P., Ganna, A., Dey, A. B., Lee, J., & Kardia, S. L. R. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16735 · Cited by 14
Jha, R. K., Dawar, C., Hasan, Q. A., Pujar, A., Gupta, G. R. K., Vishnu, V. Y., Kekunnaya, R., & Kumarasamy Thangaraj, K. (2021) · Genes · doi:10.3390/genes12091300 · Cited by 14
Lim, H., Jeon, S., Cha, J., Lee, J., Choi, S., & Jung, U. (2016) · The Anatomical Record · doi:10.1002/ar.23301 · Cited by 13
Endogamy and high prevalence of deleterious mutations in India: evidence from strong founder events
Machha, P., Gopalan, A., Elangovan, Y., Veeravalli, S. C. M., Sowpati, D. T., & Kumarasamy Thangaraj, K. (2025) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2025.02.001 · Cited by 13
Genomic Insights into the Origin, High Fecundity and Environmental Adaptation of Hu Sheep
Liu, Z., Zhang, N., Wen, Z., Wang, H., Li, T., Ma, R., Li, M.-H., Wang, D., Shu, H., Huang, X., et al. (2025) · Advanced Science · doi:10.1002/advs.202506492 · Cited by 13
He, G., Chen, J., Duan, S., Yang, Q., Li, B., Luo, L., Zhong, J., Sun, Q., Bu, F., Tang, R., et al. (2025) · Molecular Biology and Evolution · doi:10.1093/molbev/msaf225 · Cited by 13
Mandal, T., Bairy, L. K., & Sharma, P. S. V. N. (2020) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-020-02866-4 · Cited by 14
Yang, C., Zhang, X., Yan, S. L., Yang, S., Wu, B., You, F., Cui, Y., Xie, N., Wang, Z., Li, J., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01886-9 · Cited by 14
Facilitated introgression from domestic goat into Alpine ibex at immune loci
Muenger, X., Robin, M., Dalén, L., & Grossen, C. (2024) · Molecular Ecology · doi:10.1111/mec.17429 · Cited by 15
Pawar, A. M., Thakur, B., Machado, R., Kwak, S. W., & Kim, H. (2021) · Indian Journal of Dental Research · doi:10.4103/ijdr.ijdr_782_19 · Cited by 13
The Genetic Echo of the Tarim Mummies in Modern Central Asians
Dai, S.-S., Sulaiman, X., Isakova, J. T., Xu, W.-F., Abdulloevich, N. T., Afanasevna, M. E., Ibrohimovich, K. B., Chen, X., Yang, W.-K., Wang, M.-S., et al. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac179 · Cited by 13
Flegontov, P., Işıldak, U., Maier, R., Yüncü, E., Changmai, P., & Reich, D. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010931 · Cited by 14
Self-citationThe Soliga, an isolated tribe from Southern India: genetic diversity and phylogenetic affinities
Morlote, D. M., Gayden, T., Arvind, P., Babu, A., & Herrera, R. J. (2011) · Journal of Human Genetics · doi:10.1038/jhg.2010.173 · Cited by 13
Indian Craniometric Variability and Affinities
Raghavan, P., Bulbeck, D., Pathmanathan, G., & Rathee, S. K. (2013) · International Journal of Evolutionary Biology · doi:10.1155/2013/836738 · Cited by 13
Assessing the influence of consanguinity on congenital heart disease
Bittles, A. H. (2011) · Annals of Pediatric Cardiology · doi:10.4103/0974-2069.84637 · Cited by 13
Ramasamy, K., Ganesapandian, M., Adithan, C., & Narayan, S. K. (2019) · Indian Journal of Pharmacology · doi:10.4103/ijp.ijp_122_19 · Cited by 13
Speciation in North American Junonia from a genomic perspective
Cong, Q., Zhang, J., Shen, J., Cao, X., Brévignon, C., & Grishin, N. V. (2020) · Systematic Entomology · doi:10.1111/syen.12428 · Cited by 13
Improving Selection Detection with Population Branch Statistic on Admixed Populations
Yelmen, B., Marnetto, D., Molinaro, L., Flores, R., Mondal, M., & Pagani, L. (2021) · Genome Biology and Evolution · doi:10.1093/gbe/evab039 · Cited by 13
Estimating the timing of multiple admixture events using 3-locus linkage disequilibrium
Liang, M., Shishkin, M., Mikhailova, A., Shchur, V., & Nielsen, R. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010281 · Cited by 13
TMC-SNPdb: an Indian germline variant database derived from whole exome sequences
Upadhyay, P., Gardi, N., Desai, S., Sahoo, B., Singh, A., Togar, T., Iyer, P. S., Prasad, R., Chandrani, P., Gupta, S., et al. (2016) · Database · doi:10.1093/database/baw104 · Cited by 13
Identifying signatures of positive selection in pigmentation genes in two South Asian populations
Jonnalagadda, M., Bharti, N., Patil, Y., Ozarkar, S., Sunitha Manjari, K., Joshi, R., & Norton, H. (2017) · American Journal of Human Biology · doi:10.1002/ajhb.23012 · Cited by 15
NR5A1 mutations are not associated with male infertility in Indian men
Sudhakar, D. V. S., Nizamuddin, S., Manisha, G., Devi, J. R., Gupta, N. J., Chakravarthy, B., Deenadayal, M., Singh, L., & Kumarasamy Thangaraj, K. (2017) · Andrologia · doi:10.1111/and.12931 · Cited by 13
Self-citationDeciphering the Genetic Architecture of Parkinson’s Disease in IndiaPreprint
Kishore, A., Sreelatha, A. A. K., Tenghe, A., Borgohain, R., Puthanveedu, D. K., Rajan, R., Urulangodi, M., Gonzalez-Ricardo, L.-G., Pal, P. K., Kandadai, R. M., et al. (2025) · medRxiv · doi:10.1101/2025.02.17.25322132 · Cited by 13
Past human expansions shaped the spatial pattern of Neanderthal ancestry
Quilodrán, C. S., Rio, J., Tsoupas, A., & Currat, M. (2023) · Science Advances · doi:10.1126/sciadv.adg9817 · Cited by 12
“We used F 4 ratios as introduced by Reich et al. ( 60 ) to estimate NE ancestry (α) in each genome of interest.”
Fine-Scale Estimation of Location of Birth from Genome-Wide Single-Nucleotide Polymorphism Data
Hoggart, C., O’Reilly, P. F., Kaakinen, M., Zhang, W., Chambers, J. C., Kooner, J. S., Coin, L., & Järvelin, M. (2011) · Genetics · doi:10.1534/genetics.111.135657 · Cited by 12
Secondary Contact, Introgressive Hybridization, and Genome Stabilization in Sticklebacks
Feng, X., Merilä, J., & Löytynoja, A. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae031 · Cited by 13
Grünig, S., Patsiou, T., & Parisod, C. (2024) · New Phytologist · doi:10.1111/nph.20103 · Cited by 12
Gurramkonda, V. B., Syed, A. H., Murthy, J., Chaubey, G., & Bhaskar, L. V. (2015) · International Journal of Pediatric Otorhinolaryngology · doi:10.1016/j.ijporl.2015.10.055 · Cited by 12
Kumar, D. K., Shewade, D. G., Adithan, C., & Chandrasekaran, A. (2013) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.107683 · Cited by 12
Global Chronic Disease Research Training for Fellows
Bloomfield, G. S., & Huffman, M. D. (2010) · Circulation · doi:10.1161/circulationaha.109.923144 · Cited by 12
Peopling of Rajasthan, India: Evaluating the gene flow from east and west
Kumawat, R. K., Shrivastava, P., Shrivastava, D., Mathur, G., Dash, H. R., & Chaubey, G. (2020) · Gene Reports · doi:10.1016/j.genrep.2020.100990 · Cited by 12
Rutherford, S., Wilson, T. C., Yap, J. S., Lee, E., Errington, G., & Rossetto, M. (2022) · Annals of Botany · doi:10.1093/aob/mcac091 · Cited by 12
Herman, R. W., Winger, B. M., Dittmann, D. L., & Harvey, M. G. (2022) · Biological Journal of the Linnean Society · doi:10.1093/biolinnean/blac091 · Cited by 12
Saraswathy, K., Talwar, S., Prasad, S., Kaur, L., Mishra, J., Puri, M., & SACHDEVA, M. P. (2022) · Journal of Human Reproductive Sciences · doi:10.4103/jhrs.jhrs_186_21 · Cited by 12
Genomic insights into the conservation and population genetics of two Chinese native goat breeds
Wang, X., Li, G., Jiang, Y., Tang, J., Yin, F., & Ren, J. (2022) · Journal of Animal Science · doi:10.1093/jas/skac274 · Cited by 12
Zhao, W., Smith, J. A., Wang, Y.-Z., Chintalapati, M., Ammous, F., Yu, M., Moorjani, P., Ganna, A., Gross, A. L., Dey, S., et al. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad057 · Cited by 12
Complete genome sequencing and variant analysis of a Pakistani individual
Azim, M. K., Yang, C., Yan, Z., Choudhary, M. I., Khan, A., Sun, X. S., Li, R., Asif, H., Sharif, S., & Zhang, Y. (2013) · Journal of Human Genetics · doi:10.1038/jhg.2013.72 · Cited by 12
Teo, Y., & Sim, X. (2010) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e3283369e5b · Cited by 12
Q222R polymorphism in DNAse I gene is a risk factor for nephritis in South Indian SLE patients
Devaraju, P., Antony, P., & Negi, V. (2013) · Lupus · doi:10.1177/0961203313498801 · Cited by 12
Govatati, S., Challa, K., Reddy, S. B., Pramod, K., Deenadayal, M., Chakravarty, B., Shivaji, S., & Bhanoori, M. (2014) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-014-0379-9 · Cited by 12
Attempts to replicate genetic associations with schizophrenia in a cohort from north India
Prasad, S., Triptish Bhatia, A., Kukshal, P., Nimgaonkar, V. L., Deshpande, S. N., & Thelma, B. K. (2017) · Schizophrenia · doi:10.1038/s41537-017-0030-8 · Cited by 12
Y-STR Haplogroup Diversity in the Jat Population Reveals Several Different Ancient Origins
Mahal, D. G., & Matsoukas, I. G. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00121 · Cited by 12
Spectrum of genomic variations in Indian patients with progressive familial intrahepatic cholestasis
Sharma, A., Poddar, U., Agnihotry, S., Phadke, S. R., Yachha, S. K., & Aggarwal, R. (2018) · BMC Gastroenterology · doi:10.1186/s12876-018-0835-6 · Cited by 12
Vispute, S., Khadilkar, V. V., Khadilkar, A. V., Ekbote, V. H., Singh, N. C., & Chiplonkar, S. A. (2020) · Annals of Human Biology · doi:10.1080/03014460.2019.1698656 · Cited by 12
Raduski, A. R., Herman, A., Pogoda, C. S., Dorn, K., Tassel, D. L. V., Kane, N. C., & Brandvain, Y. J. (2021) · American Journal of Botany · doi:10.1002/ajb2.1603 · Cited by 12
BMD Reference Standards Among South Asians in the United States
Melamed, A., Vittinghoff, E., Sriram, U., Schwartz, A. V., & Kanaya, A. M. (2010) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2010.05.007 · Cited by 12
Mitochondria in Biology and Medicine
Desler, C., & Rasmussen, L. J. (2012) · Mitochondrion · doi:10.1016/j.mito.2012.06.008 · Cited by 12
Chauhan, G., Spurgeon, C. J., Tabassum, R., Bhaskar, S., Kulkarni, S. R., Mahajan, A., Chavali, S., Kumar, M. V. K., Prakash, S., Dwivedi, O. P., et al. (2010) · Diabetes · doi:10.2337/db10-0868 · Cited by 12
The genetic history of Cochin Jews from India
Waldman, Y. Y., Biddanda, A., Dubrovsky, M., Campbell, C. L., Oddoux, C., Friedman, E., Atzmon, G., Halperin, E., D, H. O. M., & Keinan, A. (2016) · Human Genetics · doi:10.1007/s00439-016-1698-y · Cited by 12
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
