You are here

Article Text

Article menu
Download PDFPDF
Original article
A male-specific quantitative trait locus on 1p21 controlling human stature
  1. S Sammalisto1,
  2. T Hiekkalinna1,
  3. E Suviolahti1,
  4. K Sood1,
  5. A Metzidis1,
  6. P Pajukanta2,
  7. H E Lilja1,
  8. A Soro-Paavonen3,
  9. M-R Taskinen3,
  10. T Tuomi3,
  11. P Almgren4,
  12. M Orho-Melander4,
  13. L Groop4,
  14. L Peltonen5,
  15. M Perola5
  1. 1Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
  2. 2Department of Human Genetics, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA
  3. 3Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
  4. 4Department of Endocrinology, Wallenberg Laboratory, University Hospital MAS, Lund University, Malmö, Sweden
  5. 5Department of Molecular Medicine, National Public Health Institute, Biomedicum Helsinki and Department of Medical Genetics, University of Helsinki, Finland
  1. Correspondence to:
 Dr Leena Peltonen
 Department of Medical Genetics and Molecular Medicine, University of Helsinki and National Public Health Institute, Biomedicum Helsinki PL 104, FIN-00251 Helsinki, Finland; Leena.Peltonen{at}ktl.fi

Abstract

Background: Many genome-wide scans aimed at complex traits have been statistically underpowered due to small sample size. Combining data from several genome-wide screens with comparable quantitative phenotype data should improve statistical power for the localisation of genomic regions contributing to these traits.

Objective: To perform a genome-wide screen for loci affecting adult stature by combined analysis of four previously performed genome-wide scans.

Methods: We developed a web based computer tool, Cartographer, for combining genetic marker maps which positions genetic markers accurately using the July 2003 release of the human genome sequence and the deCODE genetic map. Using Cartographer, we combined the primary genotype data from four genome-wide scans and performed variance components (VC) linkage analyses for human stature on the pooled dataset of 1417 individuals from 277 families and performed VC analyses for males and females separately.

Results: We found significant linkage to stature on 1p21 (multipoint LOD score 4.25) and suggestive linkages on 9p24 and 18q21 (multipoint LOD scores 2.57 and 2.39, respectively) in males-only analyses. We also found suggestive linkage to 4q35 and 22q13 (multipoint LOD scores 2.18 and 2.85, respectively) when we analysed both females and males and to 13q12 (multipoint LOD score 2.66) in females-only analyses.

Conclusions: We strengthened the evidence for linkage to previously reported quantitative trait loci (QTL) for stature and also found significant evidence of a novel male-specific QTL on 1p21. Further investigation of several interesting candidate genes in this region will help towards characterisation of this first sex-specific locus affecting human stature.

  • FCHL, familial combined hyperlipidaemia
  • HDL-C, high-density lipoprotein cholesterol
  • HME, hereditary multiple exostosis
  • QTL, quantitative trait locus
  • VC, variance components
  • body height
  • genome scan
  • linkage mapping
  • quantitative trait loci
  • stature

https://doi.org/10.1136/jmg.2005.031278

Statistics from Altmetric.com

    Request Permissions

    If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

    View Full Text

    Footnotes

    • This work was funded by the Center for Excellence in Disease Genetics of the Academy of Finland and Biocentrum Helsinki (SS, TH, ES, KS, AM, HEL, LP, and MP), NIH grant R01HL 70150-0IA1 (LP), EC GenomElltwin project grant QLG2-CT-2002-01254 (LP, MP, and SS), the Helsinki Biomedical Graduate School (SS), and the Emil Aaltonen Foundation (TH). LCG, TT, and the Botnia Study are principally supported by the Sigrid Juselius Foundation, the Academy of Finland, the Finnish Diabetes Research Foundation, The Folkhalsan Research Foundation, the EC (BM4-CT95-0662, GIFT), the Swedish Medical Research Council, the JDF Wallenberg Foundation, Novo Nordisk Foundation, Whitehead Institute, and Millennium Pharmaceuticals.

    • Competing interests: none declared