Variations in DNA elucidate molecular networks that cause disease

By Yanqing Chen, Jun Zhu, P. Lum, Xia Yang, Shirly Pinto, D. Macneil, Chunsheng Zhang, J. Lamb, Steve Edwards, S. Sieberts and 12 more. Nature, 2008

929 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Physiology

View Paper: https://www.semanticscholar.org/paper/e8a17857347edbd4f167d8875e8e1208b93c9a33

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Citations in the corpus

Molecular networks as sensors and drivers of common human diseases (2009, background): “In the context of common human diseases, the disease states can be considered emergent properties of molecular network”
Gene co-expression analysis for functional classification and gene–disease predictions (2017, background): “The resulting modules often represent biological processes [63, 64] and can be phenotype specific [65].”
Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease (2013, background): “…affect the expression levels of a neighboring gene or they are the causal variant themselves, they serve as an excellent source of natural perturbation to infer causal relationships among genes and between genes and higher-order phenotypes like disease (Chen et al., 2008; Emilsson et al., 2008).”
Mapping the Genetic Architecture of Gene Expression in Human Liver (2008, background): “More generally, Psrc1 and Sort1 participate in a previously deﬁned macrophage-enriched metabolic (MEM) subnetwork validated as causal for obesity, diabetes, and atherosclerosis-related traits [34].”
Molecular ecological network analyses (2012, neutral): “vance/co-expression network methods [15–20], have”
Systems Genetics of Complex Traits in Drosophila melanogaster (2009, background): “This 'systems genetics' approach will yield a detailed map of genetic variants associated with each organismal phenotype in each environment, provide a functional context for interpreting the phenotypes, elucidate the genetic underpinnings that govern the interdependence of multiple phenotypes, and ”
Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease (2012, background): “(DK062429-S1 and Crohn’s & Colitis Foundation of America, Senior Investigator Award (5-2229)) and R.”
Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases (2018, background): “Consequently, module identification is often a crucial step to gain biological insights from network data (Chen et al., 2008; Huttenhower et al., 2009; Pe’er et al., 2001).”
The genetics of quantitative traits: challenges and prospects (2009, background): “This could be achieved by dissecting a QTN into its constituent eQTLs and QTTs, but in practice this is not easy; one can expect a substantial coexpression network of relevant transcripts that associate both with the molecular variant and with the organismal phenotyp”
Lipoprotein lipase: from gene to obesity. (2009, background): “The fat mass/lean mass ratio difference in LPL / mice generally increases over time, indicating an age-dependent excessive accumulation of body fat (41).”