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      Extent of Linkage Disequilibrium in the Domestic Cat, Felis silvestris catus, and Its Breeds

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          Abstract

          Domestic cats have a unique breeding history and can be used as models for human hereditary and infectious diseases. In the current era of genome-wide association studies, insights regarding linkage disequilibrium (LD) are essential for efficient association studies. The objective of this study is to investigate the extent of LD in the domestic cat, Felis silvestris catus, particularly within its breeds. A custom illumina GoldenGate Assay consisting of 1536 single nucleotide polymorphisms (SNPs) equally divided over ten 1 Mb chromosomal regions was developed, and genotyped across 18 globally recognized cat breeds and two distinct random bred populations. The pair-wise LD descriptive measure ( r 2) was calculated between the SNPs in each region and within each population independently. LD decay was estimated by determining the non-linear least-squares of all pair-wise estimates as a function of distance using established models. The point of 50% decay of r 2 was used to compare the extent of LD between breeds. The longest extent of LD was observed in the Burmese breed, where the distance at which r 2 ≈ 0.25 was ∼380 kb, comparable to several horse and dog breeds. The shortest extent of LD was found in the Siberian breed, with an r 2 ≈ 0.25 at approximately 17 kb, comparable to random bred cats and human populations. A comprehensive haplotype analysis was also conducted. The haplotype structure of each region within each breed mirrored the LD estimates. The LD of cat breeds largely reflects the breeds’ population history and breeding strategies. Understanding LD in diverse populations will contribute to an efficient use of the newly developed SNP array for the cat in the design of genome-wide association studies, as well as to the interpretation of results for the fine mapping of disease and phenotypic traits.

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          Most cited references39

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          Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.

          Linkage disequilibrium--the nonrandom association of alleles at different loci--is a sensitive indicator of the population genetic forces that structure a genome. Because of the explosive growth of methods for assessing genetic variation at a fine scale, evolutionary biologists and human geneticists are increasingly exploiting linkage disequilibrium in order to understand past evolutionary and demographic events, to map genes that are associated with quantitative characters and inherited diseases, and to understand the joint evolution of linked sets of genes. This article introduces linkage disequilibrium, reviews the population genetic processes that affect it and describes some of its uses. At present, linkage disequilibrium is used much more extensively in the study of humans than in non-humans, but that is changing as technological advances make extensive genomic studies feasible in other species.
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            Structure of linkage disequilibrium and phenotypic associations in the maize genome.

            Association studies based on linkage disequilibrium (LD) can provide high resolution for identifying genes that may contribute to phenotypic variation. We report patterns of local and genome-wide LD in 102 maize inbred lines representing much of the worldwide genetic diversity used in maize breeding, and address its implications for association studies in maize. In a survey of six genes, we found that intragenic LD generally declined rapidly with distance (r(2) < 0.1 within 1500 bp), but rates of decline were highly variable among genes. This rapid decline probably reflects large effective population sizes in maize during its evolution and high levels of recombination within genes. A set of 47 simple sequence repeat (SSR) loci showed stronger evidence of genome-wide LD than did single-nucleotide polymorphisms (SNPs) in candidate genes. LD was greatly reduced but not eliminated by grouping lines into three empirically determined subpopulations. SSR data also supplied evidence that divergent artificial selection on flowering time may have played a role in generating population structure. Provided the effects of population structure are effectively controlled, this research suggests that association studies show great promise for identifying the genetic basis of important traits in maize with very high resolution.
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              Linkage disequilibrium in humans: models and data.

              In this review, we describe recent empirical and theoretical work on the extent of linkage disequilibrium (LD) in the human genome, comparing the predictions of simple population-genetic models to available data. Several studies report significant LD over distances longer than those predicted by standard models, whereas some data from short, intergenic regions show less LD than would be expected. The apparent discrepancies between theory and data present a challenge-both to modelers and to human geneticists-to identify which important features are missing from our understanding of the biological processes that give rise to LD. Salient features may include demographic complications such as recent admixture, as well as genetic factors such as local variation in recombination rates, gene conversion, and the potential segregation of inversions. We also outline some implications that the emerging patterns of LD have for association-mapping strategies. In particular, we discuss what marker densities might be necessary for genomewide association scans.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                7 January 2013
                : 8
                : 1
                : e53537
                Affiliations
                [1 ]Department of Population Health and Reproduction, School of Veterinary Medicine, University of California Davis, Davis, California, United States of America
                [2 ]Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
                [3 ]Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
                [4 ]The Feline Centre, School of Veterinary Science, University of Bristol, Langford, Bristol, United Kingdom
                [5 ]Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
                [6 ]Department of Veterinary Biosciences, Research Programs Unit, Molecular Medicine, University of Helsinki, and The Folkhälsan Research Center, Helsinki, Finland
                [7 ]Dipartimento di Scienze Veterinarie e Sanità Pubblica, Università di Milano, Milano, Italy
                University of Uppsala, Sweden
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: HA LAL JCM. Performed the experiments: HA RAG BG SAC. Analyzed the data: HA RK. Contributed reagents/materials/analysis tools: JCM SAC TJG JH HL ML LAL. Wrote the paper: HA RK LAL.

                Article
                PONE-D-12-20872
                10.1371/journal.pone.0053537
                3538540
                23308248
                9eaad317-9e83-44dc-9349-8d756bcc290f
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 July 2012
                : 3 December 2012
                Page count
                Pages: 11
                Funding
                This project was supported by funding from the National Center for Research Resources (NCRR) R24 RR016094 and is currently supported by the Office of Research Infrastructure Programs/OD R24OD010928, the Center for Companion Animal Health (CCAH) at the University of California Davis and the George and Phyllis Miller Feline Health Fund of the San Francisco Foundation. This research was also supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health. Genotyping was conducted in facilities constructed with support from Research Facilities Improvement Program Grant Number C06 RR13556 from the NCRR. HL’s contribution was funded by the Finnish Cat Association. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Agriculture
                Animal Management
                Animal Genetics
                Biology
                Computational Biology
                Genomics
                Comparative Genomics
                Evolutionary Biology
                Evolutionary Genetics
                Genetics
                Heredity
                Genotypes
                Linkage (Genetics)
                Animal Genetics
                Genomics
                Comparative Genomics
                Population Biology
                Zoology
                Veterinary Science
                Animal Management
                Animal Genetics

                Uncategorized
                Uncategorized

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