Skip to main content
Log in

Genetic factors and diet affect long-bone length in the F34 LG,SM advanced intercross

  • Published:
Mammalian Genome Aims and scope Submit manuscript

Abstract

Previous studies on the LG,SM advanced intercross line have identified approximately 40 quantitative trait loci (QTL) for long -bone (humerus, ulna, femur, and tibia) lengths. In this study, long-bone-length QTL were fine-mapped in the F34 generation (n = 1424) of the LG,SM advanced intercross. Environmental effects were assessed by dividing the population by sex between high-fat and low-fat diets, producing eight sex/diet cohorts. We identified 145 individual bone-length QTL comprising 45 pleiotropic QTL; 69 replicated QTL from previous studies, 35 were new traits significant at previously identified loci, and 41 were novel QTL. Many QTL affected only a subset of the population based on sex and/or diet. Eight of ten known skeletal growth genes were upregulated in 3-week-old LG/J male proximal tibial growth plates relative to SM/J.The sequences of parental strains LG/J and SM/J indicated the presence of over half a million polymorphisms in the confidence intervals of these 45 QTL. We examined 526 polymorphisms and found that 97 represented radical changes to amino acid composition while 40 were predicted to be deleterious to protein function.Additional experimentation is required to understand how changes in gene regulation or protein function can alter the genetic architecture and interact with the environment to produce phenotypic variation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Beavis W (1994) The power and deceit of QTL experiments: lessons from comparative QTL studies. Proc Corn Sorghum Ind Res Conf 49:250–266

    Google Scholar 

  • Benelli R, Peissel B, Manenti G, Gariboldi M, Vanzetto C et al (2003) Allele-specific patterns of the mouse parathyroid hormone-related protein: influences on cell adhesion and migration. Oncogene 22:7711–7715

    Article  PubMed  CAS  Google Scholar 

  • Bielohuby M, Matsuura M, Herbach N, Kienzle E, Slawik M et al (2009) Short term exposure to low-carbohydrate, high-fat diets induces low bone mineral density and reduces bone formation in rats. J Bone Miner Res 24:275–284

    Google Scholar 

  • Broman K, Sen S (2009) A Guide to QTL mapping with R/qtl. Springer, New York

    Book  Google Scholar 

  • Brunham L, Singaraja R, Pape T, Kejariwal A, Thomas P et al (2005) Accurate prediction of the functional significance of single nucleotide polymorphisms and mutations in the ABCA1 gene. PLoS Genet 1:e83

    Article  PubMed  Google Scholar 

  • Cheverud JM, Lawson HA, Fawcett GL, Wang B, Pletscher LS et al (2010) Diet-dependent genetic and genomic imprinting effects on obesity in mice. Obesity (Silver Spring). doi:10.1038/oby.2010.141

  • Darvasi A (1998) Experimental strategies for the genetic dissection of complex traits in animal models. Nat Genet 18:19–24

    Article  PubMed  CAS  Google Scholar 

  • Darvasi A, Soller M (1995) Advanced intercross lines, an experimental population for fine genetic mapping. Genetics 141:1199–1207

    PubMed  CAS  Google Scholar 

  • Falconer D, Mackay T (1996) Introduction to quantitative genetics, 4th edn. Pearson Prentice Hall, Harlow

    Google Scholar 

  • Forriol F, Shapiro F (2005) Bone development: interaction of molecular components and biophysical forces. Clin Orthop Relat Res 432:14–33

    Article  PubMed  Google Scholar 

  • Gianni-Barrera R, Gariboldi M, De Cecco L, Manenti G, Dragani T (2006) Specific gene expression profiles distinguish among functional allelic variants of the mouse Pthlh gene in transfected human cancer cells. Oncogene 25:4501–4504

    Article  PubMed  CAS  Google Scholar 

  • Griffith O, Montgomery S, Bernier B, Chu B, Kasaian K et al (2008) ORegAnno: an open-access community-driven resource for regulatory annotation. Nucleic Acids Res 36:D107–D113

    Article  PubMed  CAS  Google Scholar 

  • Haley C, Knott S (1992) A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69:315–324

    PubMed  CAS  Google Scholar 

  • Hanada K, Gojobori T, Li W-H (2006) Radical amino acid change versus positive selection in the evolution of viral envelope proteins. Gene 385:83–88

    Article  PubMed  CAS  Google Scholar 

  • Karsenty G (2003) The complexities of skeletal biology. Nature 423:316–318

    Article  PubMed  CAS  Google Scholar 

  • Kenney-Hunt J, Vaughn T, Pletscher L, Peripato A, Routman E et al (2006) Quantitative trait loci for body size components in mice. Mamm Genome 17:526–537

    Article  PubMed  Google Scholar 

  • Kronenberg H (2003) Developmental regulation of the growth plate. Nature 423:332–336

    Article  PubMed  CAS  Google Scholar 

  • Li J, Ji L (2005) Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity 95:221–227

    Article  PubMed  CAS  Google Scholar 

  • Lin C-Y, Vega VB, Thomsen JS, Zhang T, Kong SL et al (2007) Whole-genome cartography of estrogen receptor alpha binding sites. PLoS Genet 3:e87

    Article  PubMed  Google Scholar 

  • Manenti G, Peissel B, Gariboldi M, Falvella F, Zaffaroni D et al (2000) A cancer modifier role for parathyroid hormone-related protein. Oncogene 19:5324–5328

    Article  PubMed  CAS  Google Scholar 

  • Mariani F, Martin G (2003) Deciphering skeletal patterning: clues from the limb. Nature 423:319–325

    Article  PubMed  CAS  Google Scholar 

  • Montgomery S, Griffith O, Sleumer M, Bergman C, Bilenky M et al (2006) ORegAnno: an open access database and curation system for literature-derived promoters, transcription factor binding sites and regulatory variation. Bioinformatics 22:637–640

    Article  PubMed  CAS  Google Scholar 

  • Nilsson O, Marino R, Luca FD, Phillip M, Baron J (2005) Endocrine regulation of the growth plate. Horm Res 64:157–165

    Article  PubMed  CAS  Google Scholar 

  • Norgard E, Roseman C, Fawcett G, Pavlicev M, Morgan C et al (2008) Identification of quantitative trait loci affecting murine long bone length in a two-generation intercross of LG/J and SM/J mice. J Bone Miner Res 23:887–895

    Article  PubMed  Google Scholar 

  • Norgard E, Jarvis J, Roseman C, Maxwell T, Kenney-Hunt J et al (2009) Replication of long-bone length QTL in the F9–F10 LG, SM advanced intercross. Mamm Genome 20:224–235

    Article  PubMed  CAS  Google Scholar 

  • Provot S, Schipani E (2005) Molecular mechanisms of endochondral bone development. Biochem Biophys Res Commun 328:658–665

    Article  PubMed  CAS  Google Scholar 

  • Sanger TJ, Norgard EA, Pletscher LS, Bevilacqua M, Brooks VR et al (2010) Developmental and genetic origins of murine long bone length variation. J Exp Zool B Mol Dev Evol. doi:10.1002/jez.b.21388

  • Siepel A, Bejerano G, Pedersen J, Hinrichs A, Hou M et al (2005) Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res 15:1034–1050

    Article  PubMed  CAS  Google Scholar 

  • Thomas P, Campbell M, Kejariwal A, Mi H, Karlak B et al (2003) PANTHER: a library of protein families and subfamilies indexed by function. Genome Res 13:2129–2141

    Article  PubMed  CAS  Google Scholar 

  • Thomas P, Kejariwal A, Guo N, Mi H, Campbell M et al (2006) Applications for protein sequence-function evolution data: mRNA/protein expression analysis and coding SNP scoring tools. Nucleic Acids Res 34:W645–W650

    Article  PubMed  Google Scholar 

  • Wederell ED, Bilenky M, Cullum R, Thiessen N, Dagpinar M et al (2008) Global analysis of in vivo Foxa2-binding sites in mouse adult liver using massively parallel sequencing. Nucleic Acids Res 36:4549–4564

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the support of National Institutes of Health grant AR053224. Genotyping services were provided by the Center for Inherited Disease Research (CIDR). CIDR is funded through a federal contract from the National Institutes of Health to The Johns Hopkins University(contract number HHSN268200782096C). EAN was supported by a Ford Foundation Diversity Dissertation Grant and a Monticello College Foundation Olin Fellowship for Women.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elizabeth A. Norgard.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Cite this article

Norgard, E.A., Lawson, H.A., Pletscher, L.S. et al. Genetic factors and diet affect long-bone length in the F34 LG,SM advanced intercross. Mamm Genome 22, 178–196 (2011). https://doi.org/10.1007/s00335-010-9311-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00335-010-9311-5

Keywords

Navigation