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Review
. 2019 Apr;24(4):523-535.
doi: 10.1038/s41380-018-0073-x. Epub 2018 Jun 28.

Rediscovering the value of families for psychiatric genetics research

Affiliations
Review

Rediscovering the value of families for psychiatric genetics research

David C Glahn et al. Mol Psychiatry. 2019 Apr.

Abstract

As it is likely that both common and rare genetic variation are important for complex disease risk, studies that examine the full range of the allelic frequency distribution should be utilized to dissect the genetic influences on mental illness. The rate limiting factor for inferring an association between a variant and a phenotype is inevitably the total number of copies of the minor allele captured in the studied sample. For rare variation, with minor allele frequencies of 0.5% or less, very large samples of unrelated individuals are necessary to unambiguously associate a locus with an illness. Unfortunately, such large samples are often cost prohibitive. However, by using alternative analytic strategies and studying related individuals, particularly those from large multiplex families, it is possible to reduce the required sample size while maintaining statistical power. We contend that using whole genome sequence (WGS) in extended pedigrees provides a cost-effective strategy for psychiatric gene mapping that complements common variant approaches and WGS in unrelated individuals. This was our impetus for forming the "Pedigree-Based Whole Genome Sequencing of Affective and Psychotic Disorders" consortium. In this review, we provide a rationale for the use of WGS with pedigrees in modern psychiatric genetics research. We begin with a focused review of the current literature, followed by a short history of family-based research in psychiatry. Next, we describe several advantages of pedigrees for WGS research, including power estimates, methods for studying the environment, and endophenotypes. We conclude with a brief description of our consortium and its goals.

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Conflict of interest statement

Conflict of interest The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Demonstration of rare variant inheritance in a large extended pedigree. One hundred and forty-eight individuals from a single large pedigree sampled in our ongoing “Genetics of Brain Structure and Function” study are represented. Based on the principals of Mendelian inheritance, the pedigree could maximally provide 105 copies of a rare or even private mutation originating in a single founder (filled). The figure was created with CraneFoot [150]
Fig. 2
Fig. 2
Biological effect size for rare variants as a function of minor allele copies (MAC). The blue dashed line shows the biological effect size that can be detected at 80% power for a fixed number of observed heterozygotes in the pedigree in Fig. 1. As the number of captured MACs increases, power to detect moderate biological effect sizes improves. The effect of augmenting this pedigree with an additional 20,000 unrelated controls is presented in the orange line. For the case of the rarest of variants, there is a relatively minor improvement in power with increased numbers of controls who are highly unlikely to harbor the rare variant

References

    1. Sullivan PF, Agrawal A, Bulik CM, Andreassen OA, Borglum AD, Breen G, et al. Psychiatric genomics: an update and an agenda. Am J Psychiatry. 2017;175:15–27. appiajp201717030283 - PMC - PubMed
    1. Hirschhorn JN, Daly MJ. Genome-wide association studies for common diseases and complex traits. Nat Rev Genet. 2005;6: 95–108. - PubMed
    1. Cross-Disorder Group of the Psychiatric Genomics C. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet. 2013;381: 1371–9. - PMC - PubMed
    1. Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR, et al. An atlas of genetic correlations across human diseases and traits. Nat Genet. 2015;47:1236–41. - PMC - PubMed
    1. Flint J, Mott R. Finding the molecular basis of quantitative traits: successes and pitfalls. Nat Rev Genet. 2001;2:437–45. - PubMed

Publication types

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