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Meta-analysis of 32 genome-wide linkage studies of schizophrenia

Journal Article


Abstract


  • A genome scan meta-a nalysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (PSR) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142–168 Mb) and 2q (103–134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119–152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for ‘aggregate’ genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16–33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.

UOW Authors


  •   Ng, M YM. (external author)
  •   Levinson, Douglas F. (external author)
  •   Faraone, S V. (external author)
  •   Suarez, B K. (external author)
  •   DeLisi, L E. (external author)
  •   Arinami, T (external author)
  •   Riley, Brien (external author)
  •   Paunio, T (external author)
  •   Pulver, Ann E. (external author)
  •   Schwab, Sibylle

Publication Date


  • 2009

Citation


  • Ng, M. YM., Levinson, D. F., Faraone, S. V., Suarez, B. K., DeLisi, L. E., Arinami, T., Riley, B., Paunio, T., Pulver, A. E., Schwab, S. G. et al (2009). Meta-analysis of 32 genome-wide linkage studies of schizophrenia. Molecular Psychiatry, 14 (8), 774-785.

Scopus Eid


  • 2-s2.0-67651160485

Ro Metadata Url


  • http://ro.uow.edu.au/ihmri/563

Number Of Pages


  • 11

Start Page


  • 774

End Page


  • 785

Volume


  • 14

Issue


  • 8

Abstract


  • A genome scan meta-a nalysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (PSR) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142–168 Mb) and 2q (103–134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119–152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for ‘aggregate’ genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16–33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.

UOW Authors


  •   Ng, M YM. (external author)
  •   Levinson, Douglas F. (external author)
  •   Faraone, S V. (external author)
  •   Suarez, B K. (external author)
  •   DeLisi, L E. (external author)
  •   Arinami, T (external author)
  •   Riley, Brien (external author)
  •   Paunio, T (external author)
  •   Pulver, Ann E. (external author)
  •   Schwab, Sibylle

Publication Date


  • 2009

Citation


  • Ng, M. YM., Levinson, D. F., Faraone, S. V., Suarez, B. K., DeLisi, L. E., Arinami, T., Riley, B., Paunio, T., Pulver, A. E., Schwab, S. G. et al (2009). Meta-analysis of 32 genome-wide linkage studies of schizophrenia. Molecular Psychiatry, 14 (8), 774-785.

Scopus Eid


  • 2-s2.0-67651160485

Ro Metadata Url


  • http://ro.uow.edu.au/ihmri/563

Number Of Pages


  • 11

Start Page


  • 774

End Page


  • 785

Volume


  • 14

Issue


  • 8