gms | German Medical Science

Kongress Medizin und Gesellschaft 2007

17. bis 21.09.2007, Augsburg

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Combining genetic variation resources across studies to increase our understanding on inherited phenotypes

Meeting Abstract

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  • Susana Eyheramendy - LMU München, Institute of Epidemiology, München/Neuherberg
  • Christian Gieger - GSF Institute of Epidemiology, München
  • Thomas Illig - GSF Institute of Epidemiology, München
  • Peter Lichtner - GSF Institute of Human Genetics, München
  • Thomas Meitinger - GSF Institute of Human Genetics, München
  • Karsten Suhre - GSF Institute of Human Genetics, München
  • H.-Erich Wichman - GSF Institute of Epidemiology, München

Kongress Medizin und Gesellschaft 2007. Augsburg, 17.-21.09.2007. Düsseldorf: German Medical Science GMS Publishing House; 2007. Doc07gmds518

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/gmds2007/07gmds518.shtml

Veröffentlicht: 6. September 2007

© 2007 Eyheramendy et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.

Gliederung

Text

The rapid growth of genome-wide cohort, association and sequencing studies provide valuable resources to study human genetic variation and the genetic basis of complex diseases.

For instance, the HapMap project provide the research community with the genotypes of more than three millions single nucleotide polymorphisms in four different populations, with which a detailed structure of LD has been characterized. KORA is a resource for genetic epidemiological research. Currently more than ten association studies are being conducted using KORA Affymetrix GeneChip 500K data to find genetic variants associated with diseases such as diabetes, obesity, hypertension, etc.

In this study, we compare the genetic variation in the KORA 500K and the CEPH population of HapMap. Based on this comparison, we assess the feasibility and search for appropriate methods for combining genetic polymorphism information from diffent studies to make a better use of resources to increase our understanding of the genetic basis of inherited phenotypes. We find that by exchanging information both studies can be benefited.