Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study
المؤلفون المشاركون
Diaz-Lacava, A. N.
Walier, M.
Holler, D.
Steffens, M.
Gieger, C.
Furlanello, C.
Lamina, C.
Wichmann, H. E.
Becker, T.
المصدر
International Journal of Genomics
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-07-16
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
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 (HO).
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 HO 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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Diaz-Lacava, A. N.& Walier, M.& Holler, D.& Steffens, M.& Gieger, C.& Furlanello, C.…[et al.]. 2015. Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study. International Journal of Genomics،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1066037
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Diaz-Lacava, A. N.…[et al.]. Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study. International Journal of Genomics No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1066037
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Diaz-Lacava, A. N.& Walier, M.& Holler, D.& Steffens, M.& Gieger, C.& Furlanello, C.…[et al.]. Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study. International Journal of Genomics. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1066037
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1066037
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر