{"database":"EVA","file_versions":[],"scores":{"citationCount":0,"reanalysisCount":0,"viewCount":0,"searchCount":0},"additional":{"dataset_type":["Whole Genome Sequencing"],"omics_type":["Genomics"],"submitter":["HARVARD MEDICAL SCHOOL, DEPARTMENT OF GENETICS"],"instrument_platform":["Illumina HiSeq 2000"],"species":["Homo Sapiens"],"full_dataset_link":["https://www.ebi.ac.uk/eva/?eva-study=PRJEB9586"],"repository":["EVA"],"name_synonyms":["Human, whole genome, human being, Man (Taxonomy), Homo sapiens, Genomes, human., Man, Modern Man, Modern"],"description_synonyms":["Genetic Variations, Data Set., big, cg11478, human being, wide/broad, Variations, gyltl1b-b, Aspect, selection process, Modern, familial, Mbp1, Diversities, broad, Historical Aspects, CG30327, historical aspects, Historical Aspect, froggy, Gyltl1a, Human, CG11478, School-Age, large, method, Homo sapiens, Genogroup, School Age, MDDGA6, CG6393, mKIAA0609, method used in an experiment, Genetic Diversities, Genetic Selection, myd, KIAA0609, Man, nucleotides, fg, average, study, School-Age Populations, Populations, Dmel_CG6393, DmelCG42257, Selection, gyltl1b, Diversity, Man (Taxonomy), Genetic, Genomes, Natural, MDDGB6, mdc1d, expanded, Mbp-1, LARGE, whole genome, Genetic Diversity, Population, Histories, Natural Selection, study protocol, School Age Populations, human, Genotypes, genetic, plan specification, BPFD#36, MDC1D, Genogroups, wide, enr, enlarged, 65K, historical notes, great, Modern Man, CG42257, Dmel_CG30327, snp, inherited genetic, School-Age Population, School Age Population, Aspects, Nucleotide, constitutitional genetic, hereditary, Variation, Historical"],"citation_count":["0"],"additional_accession":[]},"is_claimable":false,"name":"Deep genome sequencing for diverse human populations from around the world","description":"The most powerful way to study population history and natural selection is to analyze whole genome sequences, which contain all the variation that exists in each individual. To date, genome-wide studies of history and selection have primarily analyzed data from single nucleotide polymorphism (SNP) arrays which are biased by the choice of which SNPs to include. Alternatively they have analyzed sequence data that have been generated as part of medical genetic studies from populations with large census sizes, and thus do not capture the full scope of human genetic variation. Here we supply high quality genome sequences (~40x average) from 301 individuals from 146 worldwide populations. All samples were sequenced using an identical protocol at the same facility (Illumina Ltd.). We modified standard pipelines to eliminate biases that might confound population genetic studies, to produce a unique alignment and genotype dataset.","dates":{"publication":"2015-06-30"},"accession":"PRJEB9586","cross_references":{"TAXONOMY":["9606"]}}