- Linkage disequilibrium measures
- Copy number variation
- Population genetics
- Genomic loss
Objective: Analyze the information contained in homozygous haplotypes detected with high density genotyping. Methods: We analyze the genotypes of ∼2,500 markers on chr 22 in 12 population samples, each including 200 individuals. We develop a measure of disequilibrium based on haplotype homozygosity and an algorithm to identify genomic segments characterized by non-random homozygosity (NRH), taking into account allele frequencies, missing data, genotyping error, and linkage disequilibrium. Results: We show how our measure of linkage disequilibrium based on homozygosity leads to results comparable to those of R2, as well as the importance of correcting for small sample variation when evaluating D′. We observe that the regions that harbor NRH segments tend to be consistent across populations, are gene rich, and are characterized by lower recombination. Conclusions: It is crucial to take into account LD patterns when interpreting long stretches of homozygous markers.
Copyright © 2006 S. Karger AG, Basel
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Department of Human Genetics, UCLA School of Medicine
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The international collaborative group on isolated populations members that are not listed separately as authors of this manuscript are: Maria Karayiorgoua, J. Louw Roosb, Herman Pretoriousb, Gabriel Bedoyac, Jorge Ospinad, Andres Ruiz-Linaresc, e, António Macedof, Joana Almeida Palhag, Peter Heutinkh, i, Yurii Aulchenkoj, Ben Oostraj, Cornelia van Duijnj, Marjo-Riitta Jarvelink, l, Teppo Varilom, n, Lynette Peddleo, Proton Rahmanp, Giovanna Pirasq, Maria Monneq, Leena Peltonenm, n, and the affiliations: aRockefeller University, New York, N.Y, USA; bUniversity of Pretoria Weskoppies Hospital, Pretoria, Republic of South Africa; cLaboratorio de Genetica Molecular, Universidad de Antioquia, and dDepartamento de Psiquiatria, Universidad de Antioquia, Medellin, Colombia; eThe Galton Laboratory, Department of Biology (Wolfson House), University College London, London, UK; fInstituto de Psicologia Médica, Faculdade de Medicina, Coimbra, and gLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal; hDepartment of Human Genetics, Section of Medical Genomics, VU University Medical Center, and iCenter for Neurogenomics and Cognitive Research, VU University and VU University Medical Center, Amsterdam and jGenetic Epidemiology Unit, Departments of Epidemiology, Biostatistics and Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands; kDepartment of Public Health Science and General Practice, University of Oulu, Oulu, Finland; lDepartment of Epidemiology and Public Health, Imperial College London, London, UK; mDepartment of Medical Genetics, University of Helsinki, and nDepartment of Molecular Medicine, National Public Health Institute, Biomedicum Helsinki, Helsinki, Finland; oNewfound Genomics, and pMemorial University of Newfoundland, Newfoundland, Canada; qDivision of Haematology, San Francesco Hospital, Nuoro, Italy.
Received: May 3, 2006
Accepted after revision: August 7, 2006
Published online: October 30, 2006
Number of Print Pages : 15
Number of Figures : 7, Number of Tables : 1, Number of References : 22
Human Heredity (International Journal of Human and Medical Genetics)
Vol. 62, No. 4, Year 2006 (Cover Date: December 2006)
Journal Editor: Devoto, M. (Philadelphia, Pa.)
ISSN: 0001–5652 (print), 1423–0062 (Online)
For additional information: http://www.karger.com/HHE
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