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, 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, 3 (4). 596S-604S.

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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:

Editor Repositorio

Creadores:

Creador	Email	ORCID
Bastarrachea, Raúl A.	NO ESPECIFICADO	NO ESPECIFICADO
Gallegos Cabriales, Esther Carlota	esther.gallegoscb@uanl.edu.mx	orcid.org/0000-0003-3619-2596
Nava González, Edna Judith	edna.navag@uanl.mx	NO ESPECIFICADO
Haack, Karin	NO ESPECIFICADO	NO ESPECIFICADO
Saroja Vorunganti, V.	NO ESPECIFICADO	NO ESPECIFICADO
Charlesworth, Jac	NO ESPECIFICADO	NO ESPECIFICADO
Laviada Molina, Hugo A.	NO ESPECIFICADO	NO ESPECIFICADO
Veloz Garza, Rosa A.	NO ESPECIFICADO	NO ESPECIFICADO
Cárdenas Villarreal, Velia Margarita	NO ESPECIFICADO	NO ESPECIFICADO
Valdovinos Chávez, Salvador H.	NO ESPECIFICADO	NO ESPECIFICADO
Gómez Aguilar, Patricia Isolina del Socorro	NO ESPECIFICADO	NO ESPECIFICADO
Meléndez, Guillermo	NO ESPECIFICADO	NO ESPECIFICADO
López Alvarenga, Juan Carlos	NO ESPECIFICADO	NO ESPECIFICADO
H. Góring, Harald H.	NO ESPECIFICADO	NO ESPECIFICADO
Cole, Shelley A.	NO ESPECIFICADO	NO ESPECIFICADO
Blangero, John	NO ESPECIFICADO	NO ESPECIFICADO
Comuzzie, Anthony G.	NO ESPECIFICADO	NO ESPECIFICADO
Kent, Jack W.	NO ESPECIFICADO	NO ESPECIFICADO