E-MTAB-1174 - Transcription profiling by array of human blood from a general population (KORA)

Status
Last updated on 3 January 2013, released on 18 April 2013
Organism
Homo sapiens
Samples (513)
Array (1)
Protocols (7)
Description
The development of whole genome association studies from the general population has lead to the robust identification of several loci involved in different common human diseases. Interestingly, most of the strongest signals of association observed in these studies arise from non-coding regions, raising the possibility that these regions are involved in the etiology of the disease through regulatory mechanisms. These findings highlight the importance of better understanding the inter-individual differences in gene expression in humans. The aim of the study was to search for biomarker, to identify eQTLs and to elucidate whether whole-blood eQTLs allow to identify putative functional variants involved in the etiology of complex traits. Note: Due to ethical issues no phenotypic information is provided.
Experiment types
transcription profiling by array, co-expression, population based design, translational
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Citation
Gene Expression Data From a Genomewide Transcriptomics Study Improve the Prediction of Type 2 Diabetes. Christian Herder, Maren Carstensen, Sandra Landwehr, Katharina Heim, Wolfgang Rathmann, Barbara Thorand, Christa Meisinger, Gertrud Eckstein, Thomas Meitinger, H.-Erich Wichmann, Stephan Martin, Klaus Strassburger, Wolfgang Koenig, Rui Wang-Sattler, Guido Giani, Helmut Finner, Michael Roden, Thomas Illig, Holger Prokisch.
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