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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Nat Metab. 2019 Oct 21;1(11):1038–1050. doi: 10.1038/s42255-019-0132-x

Table 1 |.

Systems genetics resources

Category Name Description

Population-based resources BXD genetic reference panel Diverse mouse panel derived from intercrosses of C57BL6J and DBA strains; http://www.genenetwork.org/mouseCross.html
HMDP Collection of ~100 classical and recombinant inbred strains; https://systems.genetics.ucla.edu/
Attie Lab Diabetes Database Several mouse crosses, molecular layers and phenotypes associated with diabetes development; http://diabetes.wisc.edu/
DO panel Outbred population of mice derived from eight founder strains; http://churchill-lab.jax.org/website/
GTEx Portal Collection of WGS, WES and RNA-sequencing data from multiple post-mortem tissues of ~1,000 people; https://www.gtexportal.org/home/index.html
STARNET Collection of genomic, multi-tissue transcriptomic and proteomic data from ~1,300 patients with, and 300 verified controls without, coronary artery disease; https://doi.org/10.1126/science.aad6970
METSIM Longitudinal study in ~10,000 Finnish men, for whom genomic, transcriptomic (subcutaneous adipose tissue) and comprehensive metabolic phenotypes are available; https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000743.v1.p1
TwinsUK Collection of phenotypic, genomic, environmental and several intermediate molecular phenotype samples from ~1,200 sibling pairs in the United Kingdom; https://twinsuk.ac.uk/
UK Biobank Large collection of genotypic, health and disease parameters from ~500,000 people; https://www.ukbiobank.ac.uk/
MUTHER (Multiple Tissue Human Expression Resource) Collection of multi-tissue expression profiles and genomic data from ~850 UK twins; http://muther.ac.uk/
Statistical/modelling resources Mergeomics Integrative analysis to merge multiscale data at the pathway level and identify network key drivers; http://mergeomics.research.idre.ucla.edu/
WGCNA Network construction to generate coregulated modules and overlay with other data (for example, networks of genes to traits); https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
MEGENA Network construction to generate coregulated modules; https://doi.org/10.1371/journal.pcbi.1004574
MOFA Approach to infer relationships between scales exclusively by using quantitative measures; https://github.com/bioFAM/MOFA
ARACNE Approach to generate co-expression networks, focused on eliminating indirect interactions; https://doi.org/10.1186/1471–2105-7-S1-S7
Pathway-analysis Resources NURSA (Nuclear Receptor Signaling Atlas) Collection of published data related to nuclear-receptor function and specific pathways; https://nursa.org/nursa/index.jsf
GO enrichment analysis Deposited sets of functional annotations for gene and proteins; http://geneontology.org/
KEGG Deposited sets of cellular annotations for genes, including localization and function; https://www.genome.jp/kegg/
IPA (Ingenuity Pathway Analysis) Comprehensive pathway-annotation software; https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/
Reactome Interaction database to query genes or proteins; https://reactome.org/
BRENDA Database of enzymatic pathways, including structure and kinetics; https://brenda-enzymes.org/
Additional Resources BioGPS Expression profiles from many tissues and cell lines from mouse or human data; http://biogps.org/#goto=welcome
Systems-Genetics.org Systems Genetics toolkits to assess gene function and trait relationships. https://systems-genetics.org/
Gene Networks Database to investigate gene functions and/or trait relationships; http://gn2.genenetwork.org/
UniProt Collection of published terms (for example, pathways and localization) for individual genes and proteins across many organisms; https://www.uniprot.org/
Human Protein Atlas Combined proteomic, transcriptional and cellular localization data across human tissues and cell types; http://proteinatlas.org/
HMDB (The Human Metabolome Database) Collection of deposited data from human metabolomics studies; http://hmdb.ca/
CMAP Compound prediction using gene expression data; http://clue.io/cmap/
MGI (Mouse Genome Informatics) Integrated database for laboratory mouse strains and lines; http://informatics.jax.org/
IMPC (International Mouse Phenotyping Consortium) Curated database of pheonotyping outcomes from mouse knockout lines for 20,000 genes; http://mousephenotype.org/
PredictDB Repository Database of imputation tools to investigate molecular layers contributing to GWAS results; http://predictdb.hakyimlab.org/
STRING (search tool for recurring instances of neighbouring genes) Collection of protein-protein interactions from published studies; http://string-db.org/
BioGRID (Biological General Repository for Interaction Datasets) Interaction database to query genes or proteins; http://thebiogrid.org/