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Integrative approaches for large-scale transcriptome-wide association studies
- Gusev, Alexander;
- Ko, Arthur;
- Shi, Huwenbo;
- Bhatia, Gaurav;
- Chung, Wonil;
- Penninx, Brenda WJH;
- Jansen, Rick;
- de Geus, Eco JC;
- Boomsma, Dorret I;
- Wright, Fred A;
- Sullivan, Patrick F;
- Nikkola, Elina;
- Alvarez, Marcus;
- Civelek, Mete;
- Lusis, Aldons J;
- Lehtimäki, Terho;
- Raitoharju, Emma;
- Kähönen, Mika;
- Seppälä, Ilkka;
- Raitakari, Olli T;
- Kuusisto, Johanna;
- Laakso, Markku;
- Price, Alkes L;
- Pajukanta, Päivi;
- Pasaniuc, Bogdan
Published Web Location
https://doi.org/10.1038/ng.3506Abstract
Alexander Gusev, Bogdan Pasaniuc and colleagues present a strategy that integrates gene expression measurements with summary statistics from large-scale genome-wide association studies to identify genes whose cis-regulated expression is associated with complex traits. They identify 69 new genes significantly associated with obesity-related traits and illustrate how this approach can provide insights into the genetic basis of complex traits.
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