Elucidating the murine brain transcriptional network in a segregating mouse population to identify core functional modules for obesity and diabetes

• Published in: Journal of neurochemistry Vol. 97; no. s1; pp. 50 - 62
• Main Authors: Lum, Pek Yee, Chen, Yanqing, Zhu, Jun, Lamb, John, Melmed, Shlomo, Wang, Susanna, Drake, Tom A., Lusis, Aldons J., Schadt, Eric E.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.04.2006; Blackwell
• Subjects: Animals; Apolipoproteins E - deficiency; Biological and medical sciences; Brain - metabolism; Crosses, Genetic; Diabetes Mellitus - genetics; Diabetes. Impaired glucose tolerance; Endocrine pancreas. Apud cells (diseases); Endocrinopathies; Etiopathogenesis. Screening. Investigations. Target tissue resistance; Female; Gene Expression; genetics; integration genomics; Male; Medical sciences; Metabolic diseases; Mice; Mice, Inbred C3H; Mice, Inbred C57BL; Mice, Knockout; Neoplasm Proteins - deficiency; Neoplasm Proteins - genetics; networks; Obesity; Obesity - genetics; QTL; Quantitative Trait Loci; Securin; systems biology; Transcription, Genetic; Endocrinopathy; Drug; systems biology; Obesity; Diabetes mellitus; Rodentia; Central nervous system; Nutrition disorder; Biological model; QTL; Metabolic diseases; Gene expression; networks; integration genomics; Encephalon; Vertebrata; Mammalia; Gene; Mouse; Plasticity; Genetics; Tumor; Nutritional status

Complex biological systems are best modeled as highly modular, fluid systems exhibiting a plasticity that allows them to adapt to a vast array of changing conditions. Here we highlight several novel network‐based approaches to elucidate genetic networks underlying complex traits. These integrative g...