Meta-analysis in psychiatric genetics

  title={Meta-analysis in psychiatric genetics},
  author={Douglas F. Levinson},
  journal={Current Psychiatry Reports},
  • D. Levinson
  • Published 1 April 2005
  • Psychology
  • Current Psychiatry Reports
The article reviews literature on methods for meta-analysis of genetic linkage and association studies, and summarizes and comments on specific meta-analysis findings for psychiatric disorders. The Genome Scan Meta-Analysis and Multiple Scan Probability methods assess the evidence for linkage across studies. Multiple Scan Probability analysis suggested linkage of two chromosomal regions (13q and 22q) to schizophrenia and bipolar disorder, whereas Genome Scan Meta-Analysis on a larger sample… 

Genetic associations with schizophrenia: Meta-analyses of 12 candidate genes

The genetics of bipolar affective disorder

Molecular genetic research in bipolar affective disorder may lead to the development of new diagnostic paradigms for classifying the psychoses and affective states and determining the functional significance of the susceptibility genes will pave the way for enhanced diagnostic accuracy and improved treatments.

Meta-analyses of genetic studies on major depressive disorder

All MDD case–control genetic association studies published before June 2007 are reviewed and meta-analyses for polymorphisms that had been investigated in at least three studies that found statistically significant associations are performed.

Genetic Determinants of Depression

textabstractThe aim of the studies in this genetic epidemiological thesis was to investigate candidate genes that play a role in the etiology of depression and to obtain new insights about biological

Genomewide association studies: history, rationale, and prospects for psychiatric disorders.

GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort.

The Genetics of Depression: A Review

  • D. Levinson
  • Psychology, Biology
    Biological Psychiatry
  • 2006

he Genetics of Depression: A Review

Several enome-wide linkage studies of MDD and related traits have been reported or are near completion, and there is some evidence for onvergence of linkage findings across studies, but more data are needed to permit meta-analysis.

Association between a genetic variant in the serotonin transporter gene (SLC6A4) and suicidal behavior in patients with schizophrenia

The gene SLC6A4 appears to be involved in suicidal ideation among patients with schizophrenia, when patients were compared to healthy control individuals and no association was found to a diagnosis of schizophrenia.

Specific and common genes implicated across major mental disorders: a review of meta-analysis studies.




Genome scan meta-analysis of schizophrenia and bipolar disorder, part III: Bipolar disorder.

The present results for the very narrow model are promising but suggest that more and larger data sets are needed to support linkage, as well as suggest that linkage might be detected in certain populations or subsets of pedigrees.

Association between a functional catechol O-methyltransferase gene polymorphism and schizophrenia: meta-analysis of case-control and family-based studies.

The authors suggest that case-control studies should use methods of genomic control to avoid being confounded by population stratification and call for more family-based studies to confirm the association between COMT and schizophrenia in European samples and to clarify its contribution to risk in Asian samples.

Genome scan meta-analysis of schizophrenia and bipolar disorder, part II: Schizophrenia.

The GSMA produced significant genomewide evidence for linkage on chromosome 2q and suggests that some or all of these regions contain loci that increase susceptibility to schizophrenia in diverse populations.

Genome scan meta-analysis of schizophrenia and bipolar disorder, part I: Methods and power analysis.

Simulation is used to determine the power of GSMA to detect linkage and to identify thresholds of significance, and to suggest that GSMA can detect linkage across multiple genome scans.

Meta‐analysis of the association between two polymorphisms in the serotonin transporter gene and affective disorders

  • J. Lasky-SuS. FaraoneS. GlattM. Tsuang
  • Biology
    American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
  • 2005
The small but significant effects of the 44‐bp insertion/deletion polymorphism for BP is consistent with being one of many genes that contributes to the multi‐factorial nature of these psychiatric disorders.

Meta-analysis of the association between the 7-repeat allele of the dopamine D(4) receptor gene and attention deficit hyperactivity disorder.

Although the association between ADHD and DRD4 is small, these results suggest that it is real and further studies are needed to clarify what variant ofDRD4 accounts for this association.

Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia

Simulations demonstrated that the type I error rate was at least as low as that for a single genome scan and thus genome-wide significance criteria may be applied, and power to detect linkage wasat least as high as the power of pooling the data from all the studies.

Meta-analysis of serotonin transporter polymorphisms and affective disorders

The results suggest that the S allele, or a neighboring allele in linkage disequilibrium, is recessive for MDD and possibly BPD, and with these small associations, confounding issues such as population stratification require addressing.

Association between serotonin transporter gene promoter polymorphism and suicide: results of a meta-analysis