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      Multi‐allelic exact tests for Hardy–Weinberg equilibrium that account for gender

      research-article
      1 , 2 , , 2
      Molecular Ecology Resources
      John Wiley and Sons Inc.
      indel, microsatellite, permutation test, X chromosome

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          Abstract

          Statistical tests for Hardy–Weinberg equilibrium are important elementary tools in genetic data analysis. X‐chromosomal variants have long been tested by applying autosomal test procedures to females only, and gender is usually not considered when testing autosomal variants for equilibrium. Recently, we proposed specific X‐chromosomal exact test procedures for bi‐allelic variants that include the hemizygous males, as well as autosomal tests that consider gender. In this study, we present the extension of the previous work for variants with multiple alleles. A full enumeration algorithm is used for the exact calculations of tri‐allelic variants. For variants with many alternate alleles, we use a permutation test. Some empirical examples with data from the 1,000 genomes project are discussed.

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          Most cited references12

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          A note on exact tests of Hardy-Weinberg equilibrium.

          Deviations from Hardy-Weinberg equilibrium (HWE) can indicate inbreeding, population stratification, and even problems in genotyping. In samples of affected individuals, these deviations can also provide evidence for association. Tests of HWE are commonly performed using a simple chi2 goodness-of-fit test. We show that this chi2 test can have inflated type I error rates, even in relatively large samples (e.g., samples of 1,000 individuals that include approximately 100 copies of the minor allele). On the basis of previous work, we describe exact tests of HWE together with efficient computational methods for their implementation. Our methods adequately control type I error in large and small samples and are computationally efficient. They have been implemented in freely available code that will be useful for quality assessment of genotype data and for the detection of genetic association or population stratification in very large data sets.
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            On a Matching Problem Arising in Genetics

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              The estimation of pairwise relationships.

              Relationships between the individuals of a population have been previously studied from the point of view of prediction. Edwards (1967) suggested that the problem of detailed population structure could also be studied from the point of view of inference. Even where inferences of practical applicability cannot be made, such an approach can increase understanding of the relation between genealogical and genetic structure. In this paper we consider a specific problem which provides an introduction to the ideas and methods of genealogical inference. This is the problem of estimating the pairwise relationship between two individuals on the basis of their phenotypes at several loci. There is no theoretical problem in the extension from pairwise to joint relationship.
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                Author and article information

                Contributors
                jan.graffelman@upc.edu
                Journal
                Mol Ecol Resour
                Mol Ecol Resour
                10.1111/(ISSN)1755-0998
                MEN
                Molecular Ecology Resources
                John Wiley and Sons Inc. (Hoboken )
                1755-098X
                1755-0998
                22 January 2018
                May 2018
                : 18
                : 3 ( doiID: 10.1111/men.2018.18.issue-3 )
                : 461-473
                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
                [*] [* ] Correspondence

                Jan Graffelman, Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona, Spain.

                Email: jan.graffelman@ 123456upc.edu

                Author information
                http://orcid.org/0000-0003-3900-0780
                Article
                MEN12748
                10.1111/1755-0998.12748
                5969302
                29288525
                ec1753c5-35f9-4c29-bfee-4f3de9947344
                © 2017 The Authors. Molecular Ecology Resources Published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 25 September 2017
                : 15 December 2017
                : 19 December 2017
                Page count
                Figures: 3, Tables: 10, Pages: 13, Words: 10681
                Funding
                Funded by: Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) of the Generalitat de Catalunya
                Award ID: 2014SGR551
                Funded by: Spanish Ministry of Economy and Competitiveness
                Award ID: MTM2015‐65016‐C2‐2‐R
                Funded by: United States National Institutes of Health
                Award ID: R01 GM075091
                Categories
                Resource Article
                RESOURCE ARTICLES
                Molecular and Statistical Advances
                Custom metadata
                2.0
                men12748
                May 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.3.8.2 mode:remove_FC converted:25.05.2018

                Ecology
                indel,microsatellite,permutation test,x chromosome
                Ecology
                indel, microsatellite, permutation test, x chromosome

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