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      A Bayesian test for Hardy–Weinberg equilibrium of biallelic X-chromosomal markers

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      Heredity
      Nature Publishing Group

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          Abstract

          The X chromosome is a relatively large chromosome, harboring a lot of genetic information. Much of the statistical analysis of X-chromosomal information is complicated by the fact that males only have one copy. Recently, frequentist statistical tests for Hardy–Weinberg equilibrium have been proposed specifically for dealing with markers on the X chromosome. Bayesian test procedures for Hardy–Weinberg equilibrium for the autosomes have been described, but Bayesian work on the X chromosome in this context is lacking. This paper gives the first Bayesian approach for testing Hardy–Weinberg equilibrium with biallelic markers at the X chromosome. Marginal and joint posterior distributions for the inbreeding coefficient in females and the male to female allele frequency ratio are computed, and used for statistical inference. The paper gives a detailed account of the proposed Bayesian test, and illustrates it with data from the 1000 Genomes project. In that implementation, a novel approach to tackle multiple testing from a Bayesian perspective through posterior predictive checks is used.

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          eXclusion: toward integrating the X chromosome in genome-wide association analyses.

          The X chromosome lags behind autosomal chromosomes in genome-wide association study (GWAS) findings. Indeed, the X chromosome is commonly excluded from GWAS analyses despite being assayed on all current GWAS microarray platforms. This raises the question: why are so few hits reported on the X chromosome? This commentary aims to examine this question through review of the current X chromosome results in the National Human Genome Research Institute Catalog of Published Genome-Wide Association Studies (NHGRI GWAS Catalog). It will also investigate commonly cited reasons for exclusion of the X chromosome from GWAS and review the tools currently available for X chromosome analysis. It will conclude with recommendations for incorporating X chromosome analyses in future studies. Copyright © 2013 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
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            Exploring Diallelic Genetic Markers: TheHardyWeinbergPackage

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              A new FST-based method to uncover local adaptation using environmental variables

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                Author and article information

                Journal
                Heredity (Edinb)
                Heredity (Edinb)
                Heredity
                Nature Publishing Group
                0018-067X
                1365-2540
                October 2017
                05 July 2017
                1 October 2017
                : 119
                : 4
                : 226-236
                Affiliations
                [1 ]Department of Statistics and Operations Research, Universitat Politècnica de Catalunya , Barcelona, Spain
                [2 ]Department of Biostatistics, University of Washington , Seattle, WA, USA
                Author notes
                [* ]Department of Statistics and Operations Research, Universitat Politècnica de Catalunya , Avinguda Diagonal 647, Barcelona 08028, Spain. E-mail: jan.graffelman@ 123456upc.edu
                Author information
                http://orcid.org/0000-0003-3900-0780
                Article
                hdy201730
                10.1038/hdy.2017.30
                5597779
                28900292
                715e1fc0-bcfb-435e-8556-aa504b4e2b1c
                Copyright © 2017 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

                History
                : 13 October 2016
                : 08 May 2017
                Categories
                Original Article

                Human biology
                Human biology

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