Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk

Transcriptomics data have been integrated with genome-wide association studies (GWASs) to help understand disease/trait molecular mechanisms. The utility of metabolomics, integrated with transcriptomics and disease GWASs, to understand molecular mechanisms for metabolite levels or diseases has not b...

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Detalles Bibliográficos
Autores principales: Yin, Xianyong, Bose, Debraj, Kwon, Annie, Hanks, Sarah C., Jackson, Anne U., Stringham, Heather M., Welch, Ryan, Oravilahti, Anniina, Fernandes Silva, Lilian, Locke, Adam E., Fuchsberger, Christian, Service, Susan K., Erdos, Michael R., Bonnycastle, Lori L., Kuusisto, Johanna, Stitziel, Nathan O., Hall, Ira M., Morrison, Jean, Ripatti, Samuli, Palotie, Aarno, Freimer, Nelson B., Collins, Francis S., Mohlke, Karen L., Scott, Laura J., Fauman, Eric B., Burant, Charles, Boehnke, Michael, Laakso, Markku, Wen, Xiaoquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606383/
https://www.ncbi.nlm.nih.gov/pubmed/36055244
http://dx.doi.org/10.1016/j.ajhg.2022.08.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606383/
https://www.ncbi.nlm.nih.gov/pubmed/36055244
http://dx.doi.org/10.1016/j.ajhg.2022.08.007

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