title: A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions.
abstract: The understanding of non-random association between loci, termed linkage disequilibrium (LD), plays a central role in genomic research. Since causal mutations are generally not included in genomic marker data, LD between those and available markers is essential for capturing the effects of causal loci on localizing genes responsible for traits. Thus, the interpretation of association studies requires a detailed knowledge of LD patterns. It is well known that most LD measures depend on minor allele frequencies (MAF) of the considered loci and the magnitude of LD is influenced by the physical distances between loci. In the present study, a procedure to compare the LD structure between genomic regions comprising several markers each is suggested. The approach accounts for different scaling factors, namely the distribution of MAF, the distribution of pair-wise differences in MAF, and the physical extent of compared regions, reflected by the distribution of pair-wise physical distances. In the first step, genomic regions are matched based on similarity in these scaling factors. In the second step, chromosome- and genome-wide significance tests for differences in medians of LD measures in each pair are performed. The proposed framework was applied to test the hypothesis that the average LD is different in genic and non-genic regions. This was tested with a genome-wide approach with data sets for humans (Homo sapiens), a highly selected chicken line (Gallus gallus domesticus) and the model plant Arabidopsis thaliana. In all three data sets we found a significantly higher level of LD in genic regions compared to non-genic regions. About 31% more LD was detected genome-wide in genic compared to non-genic regions in Arabidopsis thaliana, followed by 13.6% in human and 6% chicken. Chromosome-wide comparison discovered significant differences on all 5 chromosomes in Arabidopsis thaliana and on one third of the human and of the chicken chromosomes.
authors.affiliation: Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August-University, Goettingen, Germany.
authors.forename: Swetlana
authors.initials: S
authors.lastname: Berger
authors.affiliation: School of Business Informatics and Mathematics, University of Mannheim, Mannheim, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Schlather
authors.affiliation: Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America.
authors.forename: Gustavo
authors.initials: G
authors.lastname: de los Campos
authors.affiliation: Institut of Farm Animal Genetics, Friedrich-Loeffler Institut, Neustadt-Mariensee, Germany.
authors.forename: Steffen
authors.initials: S
authors.lastname: Weigend
authors.affiliation: Lohmann Tierzucht GmbH, Cuxhaven, Germany.
authors.forename: Rudolf
authors.initials: R
authors.lastname: Preisinger
authors.affiliation: Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August-University, Goettingen, Germany.
authors.forename: Malena
authors.initials: M
authors.lastname: Erbe
authors.affiliation: Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August-University, Goettingen, Germany.
authors.forename: Henner
authors.initials: H
authors.lastname: Simianer
mesh_terms: D000818:Animals; D002645:Chickens / Q000235:genetics*; D002874:Chromosome Mapping; D005787:Gene Frequency; D015894:Genome, Human; D018745:Genome, Plant; D023281:Genomics / Q000379:methods*; D006801:Humans; D015810:Linkage Disequilibrium