Original Article

Molecular Psychiatry (2006) 11, 29–36. doi:10.1038/sj.mp.4001750; published online 27 September 2005

A heterogeneity-based genome search meta-analysis for autism-spectrum disorders

T A Trikalinos1,2, A Karvouni1, E Zintzaras3, T Ylisaukko-oja4,5, L Peltonen4,5, I Järvelä5,6 and J P A Ioannidis1,2,7

  1. 1Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina, Ioannina, Greece
  2. 2Department of Medicine, Institute for Clinical Research and Health Policy Studies, Tufts-New England Medical Center, Tufts University School of Medicine, Boston, MA, USA
  3. 3Biomathematics Unit, University of Thessaly School of Medicine, Larissa, Greece
  4. 4Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
  5. 5Department of Medical Genetics, University of Helsinki, Helsinki, Finland
  6. 6Laboratory of Molecular Genetics, Helsinki University Central Hospital, Helsinki, Finland
  7. 7Biomedical Research Institute, Foundation for Research and Technology Hellas–FORTH, Ioannina, Greece

Correspondence: Dr JPA Ioannidis, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece. E-mail: jioannid@cc.uoi.gr

Received 6 July 2005; Revised 12 August 2005; Accepted 16 August 2005; Published online 27 September 2005.

Top

Abstract

Autism and autism-spectrum disorders exhibit high heritability, although specific susceptibility genes still remain largely elusive. We performed a heterogeneity-based genome search meta-analysis (HEGESMA) of nine genome scans on autism or autism-spectrum disorders. Each genome scan was separated in 30 cM bins and the maximum linkage statistic from each bin was ranked. Significance for each bin's average rank and for between-scan heterogeneity (dis-similarity in the average ranks) was obtained through Monte Carlo tests. For autism, data from 771 affected sibpairs were synthesized across six separate genome scans. Region 7q22–q32 reached genome-wide significance both in weighted and unweighted analyses, with evidence for significantly low between-scan heterogeneity. The flanking chromosomal region 7q32-qter reached the less stringent threshold of suggestive significance, with no evidence for low between-scan heterogeneity. For autism-spectrum disorders (634 affected sibpairs from five separate scans), no chromosomal region reached genome-wide significance. However, suggestive significance was reached for the chromosomal regions 17p11.2–q12 and 10p12–q11.1 in weighted analyses. There was evidence for significantly high between-scan heterogeneity for the former region. The meta-analysis suggests that the 7q22–q32 region should be further scrutinized for autism susceptibility genes, while autism-spectrum disorders seem to have quite diverse linkage signals across scans, possibly suggesting genetic heterogeneity across subsyndromes and subpopulations.

Keywords:

autistic disorders, Asperger syndrome, genetics, linkage, meta-analysis, genome search

Extra navigation

.

naturejobs

ADVERTISEMENT