Dataset Information

Inter-population variability of DEFA3 gene absence: correlation with haplotype structure and population variability.

ABSTRACT: BACKGROUND: Copy number variants (CNVs) account for a significant proportion of normal phenotypic variation and may have an important role in human pathological variation. The alpha-defensin cluster on human chromosome 8p23.1 is one of the better-characterized CNVs, in which high copy number variability affecting the DEFA1 and DEFA3 genes has been reported. Moreover, the DEFA3 gene has been found to be absent in a significant proportion of control population subjects. CNVs involving immune genes, such as alpha-defensins, are possibly contributing to innate immunity differences observed between individuals and influence predisposition and susceptibility to disease. RESULTS: We have tested the DEFA3 absence in 697 samples from different human populations. The proportion of subjects lacking DEFA3 has been found to vary from 10% to 37%, depending on the population tested, suggesting differences in innate immune function between populations. Absence of DEFA3 was correlated with the region's haplotype block structure. African samples showed a higher intra-populational variability together with the highest proportion of subjects without DEFA3 (37%). Association analysis of DEFA3 absence with 136 SNPs from a 100-kb region identified a conserved haplotype in the Caucasian population, extending for the whole region. CONCLUSION: Complexity and variability are essential genomic features of the alpha-defensin cluster at the 8p23.1 region. The identification of population differences in subjects lacking the DEFA3 gene may be suggestive of population-specific selective pressures with potential impact on human health.

SUBMITTER: Ballana E

PROVIDER: S-EPMC1779775 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

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Inter-population variability of DEFA3 gene absence: correlation with haplotype structure and population variability.

Ballana Ester E González Juan Ramón JR Bosch Nina N Estivill Xavier X

BMC genomics 20070110

<h4>Background</h4>Copy number variants (CNVs) account for a significant proportion of normal phenotypic variation and may have an important role in human pathological variation. The alpha-defensin cluster on human chromosome 8p23.1 is one of the better-characterized CNVs, in which high copy number variability affecting the DEFA1 and DEFA3 genes has been reported. Moreover, the DEFA3 gene has been found to be absent in a significant proportion of control population subjects. CNVs involving immun ...[more]

PMID: 17214878

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Project description:The advent of genome-wide dense variation data provides an opportunity to investigate ancestry in unprecedented detail, but presents new statistical challenges. We propose a novel inference framework that aims to efficiently capture information on population structure provided by patterns of haplotype similarity. Each individual in a sample is considered in turn as a recipient, whose chromosomes are reconstructed using chunks of DNA donated by the other individuals. Results of this "chromosome painting" can be summarized as a "coancestry matrix," which directly reveals key information about ancestral relationships among individuals. If markers are viewed as independent, we show that this matrix almost completely captures the information used by both standard Principal Components Analysis (PCA) and model-based approaches such as STRUCTURE in a unified manner. Furthermore, when markers are in linkage disequilibrium, the matrix combines information across successive markers to increase the ability to discern fine-scale population structure using PCA. In parallel, we have developed an efficient model-based approach to identify discrete populations using this matrix, which offers advantages over PCA in terms of interpretability and over existing clustering algorithms in terms of speed, number of separable populations, and sensitivity to subtle population structure. We analyse Human Genome Diversity Panel data for 938 individuals and 641,000 markers, and we identify 226 populations reflecting differences on continental, regional, local, and family scales. We present multiple lines of evidence that, while many methods capture similar information among strongly differentiated groups, more subtle population structure in human populations is consistently present at a much finer level than currently available geographic labels and is only captured by the haplotype-based approach. The software used for this article, ChromoPainter and fineSTRUCTURE, is available from http://www.paintmychromosomes.com/.

Dataset Information

Inter-population variability of DEFA3 gene absence: correlation with haplotype structure and population variability.

Publications

Inter-population variability of DEFA3 gene absence: correlation with haplotype structure and population variability.

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