Universität zu Köln

Diaz-Lacava, A. N., Walier, M., Holler, D., Steffens, M., Gieger, C., Furlanello, C., Lamina, C., Wichmann, H. E. and Becker, T. (2015). Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study. Int. J. Genomics, 2015. LONDON: HINDAWI LTD. ISSN 2314-4378

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Abstract

Aiming to investigate fine-scale patterns of genetic heterogeneity in modern humans from a geographic perspective, a genetic geostatistical approach framed within a geographic information system is presented. A sample collected for prospective studies in a small area of southern Germany was analyzed. None indication of genetic heterogeneity was detected in previous analysis. Socio-demographic and genotypic data of German citizens were analyzed (212 SNPs;n. = 728). Genetic heterogeneity was evaluated with observed heterozygosity (H-Omicron). Best-fitting spatial autoregressive models were identified, using socio-demographic variables as covariates. Spatial analysis included surface interpolation and geostatistics of observed and predicted patterns. Prediction accuracy was quantified. Spatial autocorrelation was detected for both socio-demographic and genetic variables. Augsburg City and eastern suburban areas showed higher H-Omicron values. The selected model gave best predictions in suburban areas. Fine-scale patterns of genetic heterogeneity were observed. In accordance to literature, more urbanized areas showed higher levels of admixture. This approach showed efficacy for detecting and analyzing subtle patterns of genetic heterogeneity within small areas. It is scalable in number of loci, even up to whole-genome analysis. It may be suggested that this approach may be applicable to investigate the underlying genetic history that is, at least partially, embedded in geographic data.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Diaz-Lacava, A. N. UNSPECIFIED UNSPECIFIED UNSPECIFIED Walier, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Holler, D. UNSPECIFIED UNSPECIFIED UNSPECIFIED Steffens, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Gieger, C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Furlanello, C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Lamina, C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Wichmann, H. E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Becker, T. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-416253
DOI:	10.1155/2015/693193
Journal or Publication Title:	Int. J. Genomics
Volume:	2015
Date:	2015
Publisher:	HINDAWI LTD
Place of Publication:	LONDON
ISSN:	2314-4378
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language INFERENCE; STRATIFICATION; ASSOCIATION; DIVERSITY; IMPACT Multiple languages Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology; Genetics & Heredity Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/41625