Abstract
A key characteristic of systems genetics is its reliance on populations that vary to a greater or lesser degree in genetic complexity—from highly admixed populations such as the Collaborative Cross and Diversity Outcross to relatively simple crosses such as sets of consomic strains and reduced complexity crosses. This protocol is intended to help investigators make more informed decisions about choices of resources given different types of questions. We consider factors such as costs, availability, and ease of breeding for common scenarios. In general, we recommend using complementary resources and minimizing depth of resampling of any given genome or strain.
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References
Williams EG, Auwerx J (2015) The convergence of systems and reductionist approaches in complex trait analysis. Cell 162:23–32
Dietrich WF, Copeland NG, Gilbert DJ, Miller JC, Jenkins NA et al (1995) Mapping the mouse genome: current status and future prospects. Proc Natl Acad Sci U S A 92:10849–10853
Petkov PM, Cassell MA, Sargent EE, Donnelly CJ, Robinson P et al (2004) Development of a SNP genotyping panel for genetic monitoring of the laboratory mouse. Genomics 83:902–911
Williams RW, Gu J, Qi S, Lu L (2001) The genetic structure of recombinant inbred mice: high-resolution consensus maps for complex trait analysis. Genome Biol 2:RESEARCH0046
Shifman S, Bell JT, Copley RR, Taylor MS, Williams RW, Mott R, Flint J (2006) A high-resolution single nucleotide polymorphism genetic map of the mouse genome. PLoS Biol 4:e395
Yang H, Bell TA, Churchill GA, de Villena Pardo-Manuel F (2007) On the subspecific origin of the laboratory mouse. Nat Genet 39:1100–1107
Morgan AP, Fu CP, Kao CY, Welsh CE, Didion JP et al (2015) The mouse universal genotyping array: from substrains to subspecies. G3 (Bethesda) 6:263–279
Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199
Darvasi A, Soller M (1995) Advanced intercross lines, an experimental population for fine genetic mapping. Genetics 141:1199–1207
Darvasi A (1998) Experimental strategies for the genetic dissection of complex traits in animal models. Nat Genet 18:19–24
Talbot CJ, Nicod A, Cherny SS, Fulker DW, Collins AC, Flint J (1999) High-resolution mapping of quantitative trait loci in outbred mice. Nat Genet 21:305–318
Complex Trait Consortium (2003) The nature and identification of quantitative trait loci: a community’s view. Nat Rev Genet 4:911–916
Churchill GA, Airey DC, Allayee H, Angel JM, Attie AD et al (2004) The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat Genet 36:1133–1137
Singer JB, Hill AE, Burrage LC, Olszens KR, Song J et al (2004) Genetic dissection of complex traits with chromosome substitution strains of mice. Science 304:445–448
Flint J, Valdar W, Shifman S, Mott R (2005) Strategies for mapping and cloning quantitative trait genes in rodents. Nat Rev Genet 6:271–286
Broman KW (2005) The genomes of recombinant inbred lines. Genetics 169:1133–1146
Threadgill DW, Hunter KW, Williams RW (2002) Genetic dissection of complex and quantitative traits: from fantasy to reality via a community effort. Mamm Genome 13:175–178
Malmanger B, Lawler M, Coulombe S, Murray R, Cooper S, Polyakov Y, Belknap J, Hitzemann R (2006) Further studies on using multiple-cross mapping (MCM) to map quantitative trait loci. Mamm Genome 17:1193–1204
Ghazalpour A, Rau CD, Farber CR, Bennett BJ, Orozco LD et al (2012) Hybrid mouse diversity panel: a panel of inbred mouse strains suitable for analysis of complex genetic traits. Mamm Genome 23:680–692
Houtkooper RH, Mouchiroud L, Ryu D, Moullan N, Katsyuba E et al (2013) Mitonuclear protein imbalance as a conserved longevity mechanism. Nature 497:451–457
Williams EG, Mouchiroud L, Frochaux M, Pandey A, Andreux PA et al (2014) An evolutionarily conserved role for the aryl hydrocarbon receptor in the regulation of movement. PLoS Genet 10:e1004673
Wang X, Pandey AK, Mulligan MK, Williams EG, Mozhui K et al (2016) Joint mouse-human phenome-wide association to test gene function and disease risk. Nat Commun 7:10464
Lippert C, Listgarten J, Liu Y, Kadie CM, Davidson RI, Heckerman D (2011) FaST linear mixed models for genome-wide association studies. Nat Methods 8:833–835
Zhou X, Stephens M (2012) Genome-wide efficient mixed-model analysis for association studies. Nat Genet 44:821–824
Furlotte NA, Kang EY, Van Nas A, Farber CR, Lusis AJ et al (2012) Increasing association mapping power and resolution in mouse genetic studies through the use of meta-analysis for structured populations. Genetics 191:959–967
Koutnikova H, Markku L, Lu L, Combe R, Paananen J et al (2009) Identification of UBP1 as a critical blood pressure determinant. PLoS Genet 5:e1000591
Mozhui K, Wang X, Chen J, Mulligan MK, Li Z et al (2011) Genetic regulation of Nrxn1 expression: an integrative cross-species analysis of schizophrenia candidate genes. Transl Psychiatry 1:e25
Subramanian S, Tus K, Li QZ, Wang A, Tian XH et al (2006) A Tlr7 translocation accelerates systemic autoimmunity in murine lupus. Proc Natl Acad Sci U S A 103:9970–9975
Hunter KW, Crawford NP (2008) The future of mouse QTL mapping to diagnose disease in mice in the age of whole-genome association studies. Annu Rev Genet 42:131–141
Hu Y, Wu G, Rusch M, Lukes L, Buetow KH et al (2012) Integrated cross-species transcriptional network analysis of metastatic susceptibility. Proc Natl Acad Sci U S A 109:3184–3189
Morahan G (2012) Insights into type 1 diabetes provided by genetic analyses. Curr Opin Endocrinol Diabetes Obes 19:263–270
Mackay TF (2001) The genetic architecture of quantitative traits. Annu Rev Genet 35:303–339
Fisher R (1918) The correlation between relatives on the supposition of Mendelian inheritance. Phil Trans R Soc Edin 52:399–433
Wright S (1921) Correlation and causation. J Agric Res 20:557–585
Lenarcic AB, Svenson KL, Churchill GA, Valdar W (2012) A general Bayesian approach to analyzing diallel crosses of inbred strains. Genetics 190:413–435
Airey DW, Lu L, Shou S, Williams RW (2002) Genetic sources of individual differences in cerebellum. Cerebellum 1:233–240
Crowley JJ, Kim Y, Lenarcic AB, Quackenbush CR, Barrick CJ et al (2014) Genetics of adverse reactions to haloperidol in a mouse diallel: a drug-placebo experiment and Bayesian causal analysis. Genetics 196:321–347
Percival CJ, Liberton DK, Pardo-Manuel de Villena F, Spritz R, Marcucio R et al (2016) Genetics of murine craniofacial morphology: diallel analysis of the eight founders of the Collaborative Cross. J Anat 228:96–112
Dowell RD, Ryan O, Jansen A, Cheung D, Agarwala S et al (2010) Genotype to phenotype: a complex problem. Science 328:469
Bennett BJ, Davis RC, Civelek M, Orozco L, Wu J et al (2015) Genetic architecture of atherosclerosis in mice: a systems genetics analysis of common inbred strains. PLoS Genet 11:e1005711
Bogue MA, Peters LL, Paigen B, Korstanje R, Yuan R et al (2014) Accessing data resources in the mouse phenome database for genetic analysis of murine life span and health span. J Gerontol A Biol Sci Med Sci 71:170–177
Keane TM, Goodstadt L, Danecek P, White MA, Wong K et al (2011) Mouse genomic variation and its effect on phenotypes and gene regulation. Nature 477:289–294
Bogue MA, Grubb SC (2004) The mouse phenome project. Genetica 122:71–74
Kumar V, Kim K, Joseph C, Kourrich S, Yoo SH et al (2013) C57BL/6N mutation in cytoplasmic FMRP interacting protein 2 (Cyfip2) regulates cocaine response. Science 342:1508–1512
Heiker JT, Kunath A, Kosacka J, Flehmig G, Knigge A et al (2014) Identification of genetic loci associated with different responses to high-fat diet-induced obesity in C57BL/6N and C57BL/6J substrains. Physiol Genomics 46:377–384
Khisti RT, Wolstenholme J, Shelton KL, Miles MF (2006) Characterization of the ethanol-deprivation effect in substrains of C57BL/6 mice. Alcohol 40:119–126
Mulligan MK, Ponomarev I, Boehm SL II, Owen JA, Levin PS et al (2008) Alcohol trait and transcriptional genomic analysis of C57BL/6 substrains. Genes Brain Behav 7:677–689
Simon MM, Greenaway S, White JK, Fuchs H, Gailus-Durner V et al (2013) A comparative phenotypic and genomic analysis of C57BL/6J and C57BL/6N mouse strains. Genome Biol 14:R82
Kirkpatrick SL, Bryant CD (2015) Behavioral architecture of opioid reward and aversion in C57BL/6 substrains. Front Behav Neurosci 8:450
Rosen GD, Azoulay NG, Griffin EG, Newbury A, Koganti L et al (2013) Bilateral subcortical heterotopia with partial callosal agenesis in a mouse mutant. Cereb Cortex 23:859–872
Cardin S, Scott-Boyer MP, Praktiknjo S, Jeidane S, Picard S et al (2014) Differences in cell-type-specific responses to angiotensin II explain cardiac remodeling differences in C57BL/6 mouse substrains. Hypertension 64:1040–1046
Li Z, Mulligan MK, Wang X, Miles MF, Lu L et al (2010) A transposon in Comt generates mRNA variants and causes widespread expression and behavioral differences among mice. PLoS One 5:e12181
Gregorova S, Divina P, Storchova R, Trachtulec Z, Fotopulosova V et al (2008) Mouse consomic strains: exploiting genetic divergence between Mus m. musculus and Mus m. domesticus subspecies. Genome Res 18:509–515
Buchner DA, Nadeau JH (2015) Contrasting genetic architectures in different mouse reference populations used for studying complex traits. Genome Res 25:775–791
Davis RC, Schadt EE, Smith DJ, Hsieh EW, Cervino AC et al (2005) A genome-wide set of congenic mouse strains derived from DBA/2J on a C57BL/6J background. Genomics 86:259–270
Bryant CD, Kole LA, Guido MA, Sokoloff G, Palmer AA (2012) Congenic dissection of a major QTL for methamphetamine sensitivity implicates epistasis. Genes Brain Behav 11:623–632
Williams RW (1999) A targeted screen to detect recessive mutations that have quantitative effects. Mamm Genome 10:734–738
Damerval C, Maurice A, Josse JM, de Vienne D (1994) Quantitative trait loci underlying gene product variation: a novel perspective for analyzing regulation of genome expression. Genetics 137:289–301
Schadt EE, Monks SA, Drake TA, Lusis AJ, Che N et al (2003) Genetics of gene expression surveyed in maize, mouse and man. Nature 422:297–302
Schadt EE, Lamb J, Yang X, Zhu J, Edwards S et al (2005) An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37:710–717
Miller RA, Harrison DE, Astle CM, Floyd RA, Flurkey K et al (2007) An aging interventions testing program: study design and interim report. Aging Cell 6:565–575
Bailey DW (1971) Recombinant-inbred strains. An aid to finding identity, linkage, and function of histocompatibility and other genes. Transplantation 11:325–327
Taylor BA, Heiniger HJ, Meier H (1973) Genetic analysis of resistance to cadmium-induced testicular damage in mice. Proc Soc Exp Biol Med 143:629–633
Gora-Maslak G, McClearn GE, Crabbe JC, Phillips TJ, Belknp JK et al (1992) Use of recombinant inbred strains to identify quantitative trait loci in psychopharmacology. Psychopharmacology 104:413–424
Belknap JK (1998) Effect of within-strain sample size on QTL detection and mapping using recombinant inbred mouse strains. Behav Genet 28:29–38
Pandey A, Williams RW (2014) Genetics of gene expression in the CNS. Int Rev Neurobiol 116:195–231
Mulligan MK, Mozhui K, Prins P, Williams RW (2016) GeneNetwork – A toolbox for systems genetics. Methods Mol Biol (this volume)
Yalcin B, Flint J, Mott R (2005) Using progenitor strain information to identify quantitative trait nucleotides in outbred mice. Genetics 171:673–681
Williams RW, Strom RC, Goldowitz D (1998) Natural variation in neuron number in mice is linked to a major quantitative trait locus on Chr 11. J Neurosci 18:138–146
Roberts A, Pardo-Manuel de Villena F, Wang W, McMillan L, Threadgill DW (2007) The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics. Mamm Genome 18:473–481
Peirce JL, Lu L, Gu J, Silver LM, Williams RW (2004) A new set of BXD recombinant inbred lines from advanced intercross populations in mice. BMC Genet 5:7
Hrbek T, de Brito RA, Wang B, Pletscher LS, Cheverud JM (2006) Genetic characterization of a new set of recombinant inbred lines (LGXSM) formed from the inter-cross of SM/J and LG/J inbred mouse strains. Mamm Genome 17:417–429
Rasmussen AL, Okumura A, Ferris MT, Green R, Feldmann F et al (2014) Host genetic diversity enables Ebola hemorrhagic fever pathogenesis and resistance. Science 346:987–991
Hegmann JP, Possidente B (1981) Estimating genetic correlations from inbred strains. Behav Genet 11:103–114
Williams RW, Strom RC, Rice DS, Goldowitz D (1996) Genetic and environmental control of variation in retinal ganglion cell number in mice. J Neurosci 16:7193–7205
Overall RW, Kempermann G, Peirce J, Lu L, Goldowitz D et al (2009) Genetics of the hippocampal transcriptome in mouse: a systematic survey and online neurogenomics resource. Front Neurosci 3:55
Lynch CJ (1969) The so-called Swiss mouse. Lab Anim Care 19:214–220
Chia R, Achilli F, Festing MF, Fisher EM (2005) The origins and uses of mouse outbred stocks. Nat Genet 37:1181–1186
Yalcin B, Nicod J, Bhomra A, Davidson S, Cleak J et al (2010) Commercially available outbred mice for genome-wide association studies. PLoS Genet 6:e1001085
Kakihana R, Brown DR, McClearn GE, Tabershaw IR (1966) Brain sensitivity to alcohol in inbred mouse strains. Science 154:1574–1575
Holmes RS, Petersen DR, Deitrich RA (1986) Biochemical genetic variants in mice selectively bred for sensitivity or resistance to ethanol-induced sedation. Anim Genet 17:235–244
Hitzemann B, Dains K, Kanes S, Hitzemann R (1994) Further studies on the relationship between dopamine cell density and haloperidol-induced catalepsy. J Pharmacol Exp Ther 271:969–976
Valdar W, Soberg LC, Gaugiuier D, Burnett S, Klenerman P et al (2006) Genome-wide genetic association of complex traits in heterogeneous stock mice. Nat Genet 38:879–887
Churchill GA, Gatti DM, Munger SC, Svenson KL (2012) The diversity outbred mouse population. Mamm Genome 23:713–718
Svenson KL, Gatti DM, Valdar W, Welsh CE, Cheng R et al (2012) High-resolution genetic mapping using the mouse diversity outbred population. Genetics 190:437–447
Graham JB, Thomas S, Swarts J, McMillan AA, Ferris MT et al (2015) Genetic diversity in the collaborative cross model recapitulates human West Nile virus disease outcomes. MBio 6:e00493–15
Smemo S, Tena JJ, Kim KH, Gamazon ER, Sakabe NJ et al (2014) Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature 507:371–375
Rat Genome Sequencing and Mapping Consortium, Baud A, Hermsen R, Guryev V, Stridh P et al (2013) Combined sequence-based and genetic mapping analysis of complex traits in outbred rats. Nat Genet 45:767–775
Anderson MG, Smith RS, Hawes NL, Zabaleta A, Chang B, Wiggs JL, John SW (2002) Mutations in genes encoding melanosomal proteins cause pigmentary glaucoma in DBA/2J mice. Nat Genet 30:81–85
Andreux PA, Williams EG, Koutnikova H, Houtkooper RH, Champy MF et al (2012) Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits. Cell 150:1287–1299
Rönnegård L, Valdar W (2011) Detecting major genetic loci controlling phenotypic variability in experimental crosses. Genetics 188:435–447
Acknowledgments
We thank the support of the UT Center for Integrative and Translational Genomics, and funds from the UT-ORNL Governor’s Chair.
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Williams, R.W., Williams, E.G. (2017). Resources for Systems Genetics. In: Schughart, K., Williams, R. (eds) Systems Genetics. Methods in Molecular Biology, vol 1488. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6427-7_1
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DOI: https://doi.org/10.1007/978-1-4939-6427-7_1
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