Systems genetics approaches to understand complex traits

By Mete Civelek, Aldons J. Lusis. Nature reviews genetics, 2013

600 citations recorded by the source corpus.

Systems genetics is an approach to understand the flow of biological information that underlies complex traits. It uses a range of experimental and statistical methods to quantitate and integrate intermediate phenotypes, such as transcript, protein or metabolite levels, in populations that vary for traits of interest. Systems genetics studies have provided the first global view of the molecular architecture of complex traits and are useful for the identification of genes, pathways and networks that underlie common human diseases. Given the urgent need to understand how the thousands of loci that have been identified in genome-wide association studies contribute to disease susceptibility, systems genetics is likely to become an increasingly important approach to understanding both biology and disease.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ff02f3e04f710bb85d3d949880ce31428ab517eb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Molecular Biology

Citations in the corpus

Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016, background): “…network and system analyses (Figure 1), will address the gaps in our current knowledge of molecular mediation mechanisms, gene-environment interactions, and longitudinal effects during the development of chronic diseases (Civelek & Lusis, 2014; Ritchie, Holzinger, Li, Pendergrass, & Kim, 2015).”
The genomics of local adaptation in trees: are we out of the woods yet? (2017, methodology): “…of transcriptomics is amenable to identifying and testing hypotheses of the genetic architecture of complex traits in a network framework (Jansen et al. 2009; Leiserson et al. 2013; Civelek & Lusis 2014; Feltus 2014) and will no doubt provide valuable contributions for tree evolutionary biologists.”
HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease (2015, background): “Therefore, regulatory genomic data such as maps of enhancers and transcription factor binding sites are essential to interpreting GWAS, developing mechanistic hypotheses, and ultimately understanding the genetic architecture of complex traits and disease (1–3).”
Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015, background): “Alternative depictions of the network analysis process are also available elsewhere 28,41,169 .”