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      Opportunities and Challenges for Genomic Data Analyses in Biobanks: A Call for Papers

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      Humans and Chimpanzees Display Opposite Patterns of Diversity in Arylamine N-Acetyltransferase Genes

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          Abstract

          Among the many genes involved in the metabolism of therapeutic drugs, human arylamine N-acetyltransferases ( NATs) genes have been extensively studied, due to their medical importance both in pharmacogenetics and disease epidemiology. One member of this small gene family, NAT2, is established as the locus of the classic human acetylation polymorphism in drug metabolism. Current hypotheses hold that selective processes favoring haplotypes conferring lower NAT2 activity have been operating in modern humans’ recent history as an adaptation to local chemical and dietary environments. To shed new light on such hypotheses, we investigated the genetic diversity of the three members of the NAT gene family in seven hominid species, including modern humans, Neanderthals and Denisovans. Little polymorphism sharing was found among hominids, yet all species displayed high NAT diversity, but distributed in an opposite fashion in chimpanzees and bonobos ( Pan genus) compared to modern humans, with higher diversity in Pan species at NAT1 and lower at NAT2, while the reverse is observed in humans. This pattern was also reflected in the results returned by selective neutrality tests, which suggest, in agreement with the predicted functional impact of mutations detected in non-human primates, stronger directional selection, presumably purifying selection, at NAT1 in modern humans, and at NAT2 in chimpanzees. Overall, the results point to the evolution of divergent functions of these highly homologous genes in the different primate species, possibly related to their specific chemical/dietary environment (exposome) and we hypothesize that this is likely linked to the emergence of controlled fire use in the human lineage.

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          The complete genome sequence of a Neandertal from the Altai Mountains

          We present a high-quality genome sequence of a Neandertal woman from Siberia. We show that her parents were related at the level of half siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neandertal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neandertals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high quality Neandertal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neandertals and Denisovans.
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            A high-coverage genome sequence from an archaic Denisovan individual.

            We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
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              Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation.

              Although many algorithms exist for estimating haplotypes from genotype data, none of them take full account of both the decay of linkage disequilibrium (LD) with distance and the order and spacing of genotyped markers. Here, we describe an algorithm that does take these factors into account, using a flexible model for the decay of LD with distance that can handle both "blocklike" and "nonblocklike" patterns of LD. We compare the accuracy of this approach with a range of other available algorithms in three ways: for reconstruction of randomly paired, molecularly determined male X chromosome haplotypes; for reconstruction of haplotypes obtained from trios in an autosomal region; and for estimation of missing genotypes in 50 autosomal genes that have been completely resequenced in 24 African Americans and 23 individuals of European descent. For the autosomal data sets, our new approach clearly outperforms the best available methods, whereas its accuracy in inferring the X chromosome haplotypes is only slightly superior. For estimation of missing genotypes, our method performed slightly better when the two subsamples were combined than when they were analyzed separately, which illustrates its robustness to population stratification. Our method is implemented in the software package PHASE (v2.1.1), available from the Stephens Lab Web site.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                08 May 2019
                July 2019
                : 9
                : 7
                : 2199-2224
                Affiliations
                [* ]Department of Genetics and Evolution, Anthropology Unit, University of Geneva, Switzerland
                []Departments of Pathology and Anthropology, CARTA (Center for Academic Research and Training in Anthropogeny), University of California San Diego, La Jolla
                []Department of Comparative Genetics and Refinement, Biomedical Primate Research Centre, the Netherlands
                [§ ]Zoologischer Garten Basel AG, Basel, Switzerland
                [** ]CNRS, Université Toulouse 3 UPS, ENFA, UMR 5174, Toulouse, France
                [†† ]CNRS/Muséum National d’Histoire Naturelle, UMR 7206 Paris, France
                [‡‡ ]Institute of Genetics and Genomics in Geneva (IGE3), Switzerland
                [§§ ]UMR 216 MERIT, IRD, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
                Author notes
                [1 ]Corresponding authors: Department of Genetics and Evolution, Anthropology Unit, University of Geneva, Quai Ernest-Ansermet, 1205 Genève, Switzerland, E-mail estella.poloni@ 123456unige.ch ; E-mail christelle.vangenot@ 123456unige.ch
                Author information
                http://orcid.org/0000-0003-4006-9902
                http://orcid.org/0000-0001-9599-9838
                http://orcid.org/0000-0003-0272-4945
                http://orcid.org/0000-0002-7714-2432
                http://orcid.org/0000-0003-0283-8803
                http://orcid.org/0000-0002-8465-003X
                Article
                GGG_400223
                10.1534/g3.119.400223
                6643899
                31068377
                a9d4215a-b34b-4392-aa34-b2107e2e28d6
                Copyright © 2019 Vangenot et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 October 2018
                : 04 May 2019
                Page count
                Figures: 2, Tables: 6, Equations: 0, References: 113, Pages: 26
                Categories
                Investigations

                Genetics
                arylamine n-acetyltransferases,multigenic family,drug metabolism,great apes,natural selection

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