Integrating genomic analysis with the genetic basis of gene expression: Preliminary Evidence of the Identification of causal genes for cardiovascular and metabolic traits related to nutrition in mexicans1–3

Bastarrachea, Raúl A. y Gallegos Cabriales, Esther Carlota y Nava González, Edna Judith y Haack, Karin y Saroja Vorunganti, V. y Charlesworth, Jac y Laviada Molina, Hugo A. y Veloz Garza, Rosa A. y Cárdenas Villarreal, Velia Margarita y Valdovinos Chávez, Salvador H. y Gómez Aguilar, Patricia Isolina del Socorro y Meléndez, Guillermo y López Alvarenga, Juan Carlos y H. Góring, Harald H. y Cole, Shelley A. y Blangero, John y Comuzzie, Anthony G. y Kent Jr., Jack W. (2012) Integrating genomic analysis with the genetic basis of gene expression: Preliminary Evidence of the Identification of causal genes for cardiovascular and metabolic traits related to nutrition in mexicans1–3. Advances in Nutrition. An international Review Journal (American Society for Nutrition), 3 (4). 596S-604S.

[img]
Vista previa
Texto
17.pdf - Versión Publicada
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (925kB) | Vista previa

Resumen

Whole-transcriptome expression profiling provides novel phenotypes for analysis of complex traits. Gene expression measurements reflect quantitative variation in transcript-specific messenger RNA levels and represent phenotypes lying close to the action of genes. Understanding the genetic basis of gene expression will provide insight into the processes that connect genotype to clinically significant traits representing a central tenet of system biology. Synchronous in vivo expression profiles of lymphocytes, muscle, and subcutaneous fat were obtained from healthy Mexican men. Most genes were expressed at detectable levels in multiple tissues, and RNA levels were correlated between tissue types. A subset of transcripts with high reliability of expression across tissues (estimated by intraclass correlation coefficients) was enriched for cis-regulated genes, suggesting that proximal sequence variants may influence expression similarly in different cellular environments. This integrative global gene expression profiling approach is proving extremely useful for identifying genes and pathways that contribute to complex clinical traits. Clearly, the coincidence of clinical trait quantitative trait loci and expression quantitative trait loci can help in the prioritization of positional candidate genes. Such data will be crucial for the formal integration of positional and transcriptomic information characterized as genetical genomics. A

Tipo de elemento: Article
Materias: R Medicina > R Medicina en General
Divisiones: Medicina
Usuario depositante: Lic. Jesús E. Alvarado
Creadores:
CreadorEmailORCID
Bastarrachea, Raúl A.NO ESPECIFICADONO ESPECIFICADO
Gallegos Cabriales, Esther CarlotaNO ESPECIFICADONO ESPECIFICADO
Nava González, Edna Judithedna.navag@uanl.mxNO ESPECIFICADO
Haack, KarinNO ESPECIFICADONO ESPECIFICADO
Saroja Vorunganti, V.NO ESPECIFICADONO ESPECIFICADO
Charlesworth, JacNO ESPECIFICADONO ESPECIFICADO
Laviada Molina, Hugo A.NO ESPECIFICADONO ESPECIFICADO
Veloz Garza, Rosa A.NO ESPECIFICADONO ESPECIFICADO
Cárdenas Villarreal, Velia MargaritaNO ESPECIFICADONO ESPECIFICADO
Valdovinos Chávez, Salvador H.NO ESPECIFICADONO ESPECIFICADO
Gómez Aguilar, Patricia Isolina del SocorroNO ESPECIFICADONO ESPECIFICADO
Meléndez, GuillermoNO ESPECIFICADONO ESPECIFICADO
López Alvarenga, Juan CarlosNO ESPECIFICADONO ESPECIFICADO
H. Góring, Harald H.NO ESPECIFICADONO ESPECIFICADO
Cole, Shelley A.NO ESPECIFICADONO ESPECIFICADO
Blangero, JohnNO ESPECIFICADONO ESPECIFICADO
Comuzzie, Anthony G.NO ESPECIFICADONO ESPECIFICADO
Kent Jr., Jack W.NO ESPECIFICADONO ESPECIFICADO
Fecha del depósito: 05 Mar 2020 14:53
Última modificación: 13 Mayo 2020 20:25
URI: http://eprints.uanl.mx/id/eprint/18849

Actions (login required)

Ver elemento Ver elemento

Downloads

Downloads per month over past year