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      Fine scale human genetic structure in three regions of Cameroon reveals episodic diversifying selection

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          Abstract

          Inferences from genetic association studies rely largely on the definition and description of the underlying populations that highlight their genetic similarities and differences. The clustering of human populations into subgroups (population structure) can significantly confound disease associations. This study investigated the fine-scale genetic structure within Cameroon that may underlie disparities observed with Cameroonian ethnicities in malaria genome-wide association studies in sub-Saharan Africa. Genotype data of 1073 individuals from three regions and three ethnic groups in Cameroon were analyzed using measures of genetic proximity to ascertain fine-scale genetic structure. Model-based clustering revealed distinct ancestral proportions among the Bantu, Semi-Bantu and Foulbe ethnic groups, while haplotype-based coancestry estimation revealed possible longstanding and ongoing sympatric differentiation among individuals of the Foulbe ethnic group, and their Bantu and Semi-Bantu counterparts. A genome scan found strong selection signatures in the HLA gene region, confirming longstanding knowledge of natural selection on this genomic region in African populations following immense disease pressure. Signatures of selection were also observed in the HBB gene cluster, a genomic region known to be under strong balancing selection in sub-Saharan Africa due to its co-evolution with malaria. This study further supports the role of evolution in shaping genomes of Cameroonian populations and reveals fine-scale hierarchical structure among and within Cameroonian ethnicities that may impact genetic association studies in the country.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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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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                Author and article information

                Contributors
                apinjoh.tobias@ubuea.cm
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 January 2021
                13 January 2021
                2021
                : 11
                : 1039
                Affiliations
                [1 ]GRID grid.411943.a, ISNI 0000 0000 9146 7108, Department of Biochemistry, , Jomo Kenyatta University of Agriculture and Technology, ; P.O. Box 62000, Nairobi, City Square, Kenya
                [2 ]GRID grid.29273.3d, ISNI 0000 0001 2288 3199, Department of Biochemistry and Molecular Biology, , University of Buea, ; P.O. Box 63, Buea, South West Region, Cameroon
                [3 ]GRID grid.7836.a, ISNI 0000 0004 1937 1151, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, , University of Cape Town, ; Health Sciences Campus, Anzio Rd, Observatory, 7925 South Africa
                [4 ]GRID grid.8652.9, ISNI 0000 0004 1937 1485, West African Centre for Cell Biology of Infectious Pathogens, , University of Ghana, ; Legon, Accra, Ghana
                [5 ]GRID grid.415063.5, ISNI 0000 0004 0606 294X, Medical Research Council Unit the Gambia at LSHTM, ; Banjul, The Gambia
                Article
                79124
                10.1038/s41598-020-79124-1
                7807043
                33441574
                daf81880-6d3a-4af2-a31b-95470367799f
                © The Author(s) 2021

                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
                : 5 March 2020
                : 28 October 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 107740/Z/15/Z
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U41HG006941
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                computational biology and bioinformatics,genetics,diseases
                Uncategorized
                computational biology and bioinformatics, genetics, diseases

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