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      The selection landscape and genetic legacy of ancient Eurasians

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      1 , , 1 , 2 , 1 , 3 , 4 , 5 , 1 , 6 , 7 , 6 , 8 , 2 , 9 , 1 , 10 , 1 , 1 , 1 , 11 , 9 , 12 , 11 , 1 , 1 , 3 , 13 , 1 , 3 , 1 , 1 , 6 , 14 , 15 , 14 , 16 , 17 , 8 , 11 , 18 , 4 , 19 , 1 , 1 , 20 , 21 , 1 , 22 , 1 , 1 , 23 , , 1 , , 1 , 2 , 24 ,
      Nature
      Nature Publishing Group UK
      Evolutionary genetics, Archaeology, Genomics, Population genetics, Molecular evolution

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          Abstract

          The Holocene (beginning around 12,000 years ago) encompassed some of the most significant changes in human evolution, with far-reaching consequences for the dietary, physical and mental health of present-day populations. Using a dataset of more than 1,600 imputed ancient genomes 1 , we modelled the selection landscape during the transition from hunting and gathering, to farming and pastoralism across West Eurasia. We identify key selection signals related to metabolism, including that selection at the FADS cluster began earlier than previously reported and that selection near the LCT locus predates the emergence of the lactase persistence allele by thousands of years. We also find strong selection in the HLA region, possibly due to increased exposure to pathogens during the Bronze Age. Using ancient individuals to infer local ancestry tracts in over 400,000 samples from the UK Biobank, we identify widespread differences in the distribution of Mesolithic, Neolithic and Bronze Age ancestries across Eurasia. By calculating ancestry-specific polygenic risk scores, we show that height differences between Northern and Southern Europe are associated with differential Steppe ancestry, rather than selection, and that risk alleles for mood-related phenotypes are enriched for Neolithic farmer ancestry, whereas risk alleles for diabetes and Alzheimer’s disease are enriched for Western hunter-gatherer ancestry. Our results indicate that ancient selection and migration were large contributors to the distribution of phenotypic diversity in present-day Europeans.

          Abstract

          Analyses of imputed ancient genomes and of samples from the UK Biobank indicate that ancient selection and migration were large contributors to the distribution of phenotypic diversity in present-day Europeans.

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          A global reference for human genetic variation

          The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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            The UK Biobank resource with deep phenotyping and genomic data

            The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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              The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019

              Abstract The GWAS Catalog delivers a high-quality curated collection of all published genome-wide association studies enabling investigations to identify causal variants, understand disease mechanisms, and establish targets for novel therapies. The scope of the Catalog has also expanded to targeted and exome arrays with 1000 new associations added for these technologies. As of September 2018, the Catalog contains 5687 GWAS comprising 71673 variant-trait associations from 3567 publications. New content includes 284 full P-value summary statistics datasets for genome-wide and new targeted array studies, representing 6 × 109 individual variant-trait statistics. In the last 12 months, the Catalog's user interface was accessed by ∼90000 unique users who viewed >1 million pages. We have improved data access with the release of a new RESTful API to support high-throughput programmatic access, an improved web interface and a new summary statistics database. Summary statistics provision is supported by a new format proposed as a community standard for summary statistics data representation. This format was derived from our experience in standardizing heterogeneous submissions, mapping formats and in harmonizing content. Availability: https://www.ebi.ac.uk/gwas/.
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                Author and article information

                Contributors
                evan.irvingpease@gmail.com
                rasmus_nielsen@berkeley.edu
                fracimo@sund.ku.dk
                ew482@cam.ac.uk
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                10 January 2024
                10 January 2024
                2024
                : 625
                : 7994
                : 312-320
                Affiliations
                [1 ]Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, ( https://ror.org/035b05819) Copenhagen, Denmark
                [2 ]GeoGenetics Group, Department of Zoology, University of Cambridge, ( https://ror.org/013meh722) Cambridge, UK
                [3 ]GRID grid.4973.9, ISNI 0000 0004 0646 7373, Institute of Biological Psychiatry, Mental Health Services, , Copenhagen University Hospital, ; Roskilde, Denmark
                [4 ]Department of Genetics, University of Cambridge, ( https://ror.org/013meh722) Cambridge, UK
                [5 ]Department of Zoology, University of Cambridge, ( https://ror.org/013meh722) Cambridge, UK
                [6 ]Department of Historical Studies, University of Gothenburg, ( https://ror.org/01tm6cn81) Gothenburg, Sweden
                [7 ]Sealand Archaeology, Kalundborg, Denmark
                [8 ]Department of Integrative Biology, University of California Berkeley, ( https://ror.org/01an7q238) Berkeley, CA USA
                [9 ]UCL Genetics Institute, University College London, ( https://ror.org/02jx3x895) London, UK
                [10 ]GRID grid.511721.1, ISNI 0000 0004 0370 736X, Eco-anthropologie, , Muséum national d’Histoire naturelle, CNRS, Université Paris Cité, Musée de l’Homme, ; Paris, France
                [11 ]GRID grid.47840.3f, ISNI 0000 0001 2181 7878, Center for Computational Biology, , University of California, ; Berkeley, CA USA
                [12 ]Ancient Genomics Laboratory, The Francis Crick Institute, ( https://ror.org/04tnbqb63) London, UK
                [13 ]Neurogenomics Division, The Translational Genomics Research Institute (TGEN), ( https://ror.org/02hfpnk21) Phoenix, AZ USA
                [14 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, , University of Oxford, ; Oxford, UK
                [15 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, , University of Oxford, ; Oxford, UK
                [16 ]Department of Clinical Medicine, Aarhus University Hospital, ( https://ror.org/040r8fr65) Aarhus, Denmark
                [17 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, MRC Human Immunology Unit, John Radcliffe Hospital, , University of Oxford, ; Oxford, UK
                [18 ]Institute of Statistical Sciences, School of Mathematics, University of Bristol, ( https://ror.org/0524sp257) Bristol, UK
                [19 ]Wellcome Sanger Institute, ( https://ror.org/05cy4wa09) Cambridge, UK
                [20 ]Department of Clinical Medicine, University of Copenhagen, ( https://ror.org/035b05819) Copenhagen, Denmark
                [21 ]GRID grid.4973.9, ISNI 0000 0004 0646 7373, Institute of Biological Psychiatry, Mental Health Center Sct Hans, , Copenhagen University Hospital, ; Copenhagen, Denmark
                [22 ]Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Science, Curtin University, ( https://ror.org/02n415q13) Perth, Western Australia Australia
                [23 ]Departments of Integrative Biology and Statistics, UC Berkeley, ( https://ror.org/01an7q238) Berkeley, CA USA
                [24 ]MARUM Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, ( https://ror.org/04ers2y35) Bremen, Germany
                Author information
                http://orcid.org/0000-0003-1940-2192
                http://orcid.org/0000-0003-0852-5904
                http://orcid.org/0000-0003-1791-3175
                http://orcid.org/0000-0002-7112-5930
                http://orcid.org/0000-0001-8086-4420
                http://orcid.org/0000-0003-3657-1983
                http://orcid.org/0000-0002-7568-4270
                http://orcid.org/0000-0002-0887-4023
                http://orcid.org/0000-0002-6682-1288
                http://orcid.org/0000-0002-6551-2707
                http://orcid.org/0000-0002-3507-5956
                http://orcid.org/0000-0003-2883-3226
                http://orcid.org/0000-0002-9573-8248
                http://orcid.org/0000-0002-5311-6213
                http://orcid.org/0000-0002-9130-1006
                http://orcid.org/0000-0001-7576-5380
                http://orcid.org/0000-0003-1829-0766
                http://orcid.org/0000-0003-4424-3568
                http://orcid.org/0000-0003-2818-8319
                http://orcid.org/0000-0003-0513-6591
                http://orcid.org/0000-0002-5025-2607
                http://orcid.org/0000-0002-7081-6748
                Article
                6705
                10.1038/s41586-023-06705-1
                10781624
                38200293
                1fff6601-38ab-4c82-9285-affef0619039
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 September 2022
                : 3 October 2023
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                © Springer Nature Limited 2024

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                evolutionary genetics,archaeology,genomics,population genetics,molecular evolution
                Uncategorized
                evolutionary genetics, archaeology, genomics, population genetics, molecular evolution

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