ArticleEuropean journal of human genetics : EJHG2005
X-chromosome as a marker for population history: linkage disequilibrium and haplotype study in Eurasian populations.
Article in European journal of human genetics : EJHG, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Genetic landscape of the Brahmin population of Gujarat, India, using X-chromosome STR markers.Molecular genetics and genomics : MGG · 2026Article
- Red Deer Resequencing Reveals the Importance of Sex Chromosomes for Reconstructing Late Quaternary Events.Molecular biology and evolution · 2025Article
- Development of a new screening method for faster kinship analyses in mass disasters: a proof of concept study.Scientific reports · 2022Article
- Haplotype Block Analysis Reveals Candidate Genes and QTLs for Meat Quality and Disease Resistance in Chinese Jiangquhai Pig Breed.Frontiers in genetics · 2020Article
- X-chromosomal STR-based genetic structure of Sichuan Tibetan minority ethnicity group and its relationships to various groups.International journal of legal medicine · 2018Article
- Analysis of 8 X-chromosomal markers in the population of central Croatia.Croatian medical journal · 2013Article
- Simple strategies for haplotype analysis of the X chromosome with application to age-related macular degeneration.European journal of human genetics : EJHG · 2011Article
- Validation of six closely linked STRs located in the chromosome X centromere region.International journal of legal medicine · 2010Article
- Linkage disequilibrium and diversity for three genomic regions in Azoreans and mainland Portuguese.Genetics and molecular biology · 2009Article
- An INDEL polymorphism at the X-STR GATA172D05 flanking region.International journal of legal medicine · 2009Article
- The value of some Corsican sub-populations for genetic association studies.BMC medical genetics · 2008Article
- Forensic efficiency of microsatellites and single nucleotide polymorphisms on the X chromosome.International journal of legal medicine · 2007Article
- Genetic diversity of 10 X chromosome STRs in northern Portugal.International journal of legal medicine · 2007Article
- Campora: a young genetic isolate in South Italy.Human heredity · 2007Article
- No evidence for association between dyslexia and DYX1C1 functional variants in a group of children and adolescents from Southern Italy.Journal of molecular neuroscience : MN · 2005Article
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5 authors.
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Abstract
Linkage disequilibrium (LD) structure is still unpredictable because the interplay of regional recombination rate and demographic history is poorly understood. We have compared the distribution of LD across two genomic regions differing in crossing-over activity -- Xq13 (0.166 cM/Mb) and Xp22 (1.3 cM/Mb) -- in 15 Eurasian populations. Demographic events predicted to increase the LD level -- genetic drift, bottleneck and admixture - had a very strong impact on extent and patterns of regional LD across Xq13 compared to Xp22. The haplotype distribution of the DXS1225-DXS8082 microsatellites from Xq13 exhibiting strong association in all populations was remarkably influenced by population history. European populations shared one common haplotype with a frequency of 25-40%. The Volga-Ural populations studied, living at the geographic borderline of Europe, showed elevated LD as well as harboring a significant fraction of haplotypes originating from East Asia, thus reflecting their past migrations and admixture. In the young Kuusamo isolate from Finland, a bottleneck has led to allelic associations between loci and shifted the haplotype distribution, but has much less affected single microsatellite allele frequencies compared to the main Finnish population. The data show that the footprint of a demographic event is longer preserved in haplotype distribution within a region of low crossing-over rate, than in the information content of a single marker, or between actively recombining markers. As the knowledge of LD patterns is often chosen to assist association mapping of common disease, our conclusions emphasize the importance of understanding the history, structure and variation of a study population.
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