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dc.contributor.authorJuyal, Garima-
dc.contributor.authorMondal, Mayukh-
dc.contributor.authorLuisi, Pierre-
dc.contributor.authorLaayouni, Hafid-
dc.contributor.authorSood, Ajit-
dc.contributor.authorMidha, Vandana-
dc.contributor.authorHeutink, Peter-
dc.contributor.authorBertranpetit, Jaume-
dc.contributor.authorThelma, B. K.-
dc.contributor.authorCasals, Ferran-
dc.identifierdoi: 10.1007/s00439-014-1462-0-
dc.identifierissn: 0340-6717-
dc.identifiere-issn: 1432-1203-
dc.identifier.citationHuman Genetics 133(10): 1273-1287 (2014)-
dc.description.abstractIndian demographic history includes special features such as founder effects, interpopulation segregation, complex social structure with a caste system and elevated frequency of consanguineous marriages. It also presents a higher frequency for some rare mendelian disorders and in the last two decades increased prevalence of some complex disorders. Despite the fact that India represents about one-sixth of the human population, deep genetic studies from this terrain have been scarce. In this study, we analyzed high-density genotyping and whole-exome sequencing data of a North and a South Indian population. Indian populations show higher differentiation levels than those reported between populations of other continents. In this work, we have analyzed its consequences, by specifically assessing the transferability of genetic markers from or to Indian populations. We show that there is limited genetic marker portability from available genetic resources such as HapMap or the 1,000 Genomes Project to Indian populations, which also present an excess of private rare variants. Conversely, tagSNPs show a high level of portability between the two Indian populations, in contrast to the common belief that North and South Indian populations are genetically very different. By estimating kinship from mates and consanguinity in our data from trios, we also describe different patterns of assortative mating and inbreeding in the two populations, in agreement with distinct mating preferences and social structures. In addition, this analysis has allowed us to describe genomic regions under recent adaptive selection, indicating differential adaptive histories for North and South Indian populations. Our findings highlight the importance of considering demography for design and analysis of genetic studies, as well as the need for extending human genetic variation catalogs to new populations and particularly to those with particular demographic histories.-
dc.description.sponsorshipInternational fellowship funded by Center for Neurogenomics and Cognitive Research (CNCR), VU, Amsterdam, The Netherlands to GJ; Research grant from J C Bose fellowship to BKT; grant # BT/01/COE/07/UDSC to BKT and salary support to GJ are gratefully acknowledged. FC was supported by a Beatriu de Pinós (2010-BP- B-00128) fellowship and MM by a PhD grant both from AGAUR (Generalitat de Catalunya). Funding to FC by grant SAF2012-35025 from the Ministerio de Economía y Competitividad (Spain); Funding to JB by grants BFU2010-19443 from the Ministerio de Ciencia y Tecnología (Spain), PRI-PIBIN-2011-0942 from the Ministerio de Economía y Competitividad (Spain), and from the Direcció General de Recerca, Generalitat de Catalunya (Grup de Recerca Consolidat 2009 SGR 1101).-
dc.titlePopulation and genomic lessons from genetic analysis of two Indian populations-
dc.description.versionPeer Reviewed-
dc.contributor.funderCenter for Neurogenomics and Cognitive Research (The Netherlands)-
dc.contributor.funderGeneralitat de Catalunya-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderMinisterio de Ciencia y Tecnología (España)-
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