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Browsing by Author "Faraone, Stephen V."
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Item Examining Sex-Differentiated Genetic Effects Across Neuropsychiatric and Behavioral Traits(Elsevier, 2021-06-15) Martin, Joanna; Khramtsova, Ekaterina A.; Goleva, Slavina B.; Blokland, Gabriëlla A.M.; Traglia, Michela; Walters, Raymond K.; Hübel, Christopher; Coleman, Jonathan R.I.; Breen, Gerome; Børglum, Anders D.; Demontis, Ditte; Grove, Jakob; Werge, Thomas; Bralten, Janita; Bulik, Cynthia M.; Lee, Phil H.; Mathews, Carol A.; Peterson, Roseann E.; Winham, Stacey J.; Wray, Naomi; Edenberg, Howard J.; Guo, Wei; Yao, Yin; Neale, Benjamin M.; Faraone, Stephen V.; Petryshen, Tracey L.; Weiss, Lauren A.; Duncan, Laramie E.; Goldstein, Jill M.; Smoller, Jordan W.; Stranger, Barbara E.; Davis, Lea K.; Biochemistry and Molecular Biology, School of MedicineBackground: The origin of sex differences in prevalence and presentation of neuropsychiatric and behavioral traits is largely unknown. Given established genetic contributions and correlations, we tested for a sex-differentiated genetic architecture within and between traits. Methods: Using European ancestry genome-wide association summary statistics for 20 neuropsychiatric and behavioral traits, we tested for sex differences in single nucleotide polymorphism (SNP)-based heritability and genetic correlation (rg < 1). For each trait, we computed per-SNP z scores from sex-stratified regression coefficients and identified genes with sex-differentiated effects using a gene-based approach. We calculated correlation coefficients between z scores to test for shared sex-differentiated effects. Finally, we tested for sex differences in across-trait genetic correlations. Results: We observed no consistent sex differences in SNP-based heritability. Between-sex, within-trait genetic correlations were high, although <1 for educational attainment and risk-taking behavior. We identified 4 genes with significant sex-differentiated effects across 3 traits. Several trait pairs shared sex-differentiated effects. The top genes with sex-differentiated effects were enriched for multiple gene sets, including neuron- and synapse-related sets. Most between-trait genetic correlation estimates were not significantly different between sexes, with exceptions (educational attainment and risk-taking behavior). Conclusions: Sex differences in the common autosomal genetic architecture of neuropsychiatric and behavioral phenotypes are small and polygenic and unlikely to fully account for observed sex-differentiated attributes. Larger sample sizes are needed to identify sex-differentiated effects for most traits. For well-powered studies, we identified genes with sex-differentiated effects that were enriched for neuron-related and other biological functions. This work motivates further investigation of genetic and environmental influences on sex differences.Item A polygenic resilience score moderates the genetic risk for schizophrenia(Springer Nature, 2021-03) Hess, Jonathan L.; Tylee, Daniel S.; Mattheisen, Manuel; Børglum, Anders D.; Als, Thomas D.; Grove, Jakob; Werge, Thomas; Mortensen, Preben Bo; Mors, Ole; Nordentoft, Merete; Hougaard, David M.; Byberg-Grauholm, Jonas; Bækvad-Hansen, Marie; Greenwood, Tiffany A.; Tsuang, Ming T.; Curtis, David; Steinberg, Stacy; Sigurdsson, Engilbert; Stefánsson, Hreinn; Stefánsson, Kári; Edenberg, Howard J.; Holmans, Peter; Faraone, Stephen V.; Glatt, Stephen J.; Biochemistry and Molecular Biology, School of MedicineBased on the discovery by the Resilience Project (Chen R. et al. Nat Biotechnol 34:531–538, 2016) of rare variants that confer resistance to Mendelian disease, and protective alleles for some complex diseases, we posited the existence of genetic variants that promote resilience to highly heritable polygenic disorders1,0 such as schizophrenia. Resilience has been traditionally viewed as a psychological construct, although our use of the term resilience refers to a different construct that directly relates to the Resilience Project, namely: heritable variation that promotes resistance to disease by reducing the penetrance of risk loci, wherein resilience and risk loci operate orthogonal to one another. In this study, we established a procedure to identify unaffected individuals with relatively high polygenic risk for schizophrenia, and contrasted them with risk-matched schizophrenia cases to generate the first known “polygenic resilience score” that represents the additive contributions to SZ resistance by variants that are distinct from risk loci. The resilience score was derived from data compiled by the Psychiatric Genomics Consortium, and replicated in three independent samples. This work establishes a generalizable framework for finding resilience variants for any complex, heritable disorder.Item Psychiatric genetics and the structure of psychopathology(Nature, 2018-01) Smoller, Jordan W.; Andreassen, Ole A.; Edenberg, Howard J.; Faraone, Stephen V.; Glatt, Stephen J.; Kendler, Kenneth S.; Biochemistry and Molecular Biology, School of MedicineFor over a century, psychiatric disorders have been defined by expert opinion and clinical observation. The modern DSM has relied on a consensus of experts to define categorical syndromes based on clusters of symptoms and signs, and, to some extent, external validators, such as longitudinal course and response to treatment. In the absence of an established etiology, psychiatry has struggled to validate these descriptive syndromes, and to define the boundaries between disorders and between normal and pathologic variation. Recent advances in genomic research, coupled with large-scale collaborative efforts like the Psychiatric Genomics Consortium, have identified hundreds of common and rare genetic variations that contribute to a range of neuropsychiatric disorders. At the same time, they have begun to address deeper questions about the structure and classification of mental disorders: To what extent do genetic findings support or challenge our clinical nosology? Are there genetic boundaries between psychiatric and neurologic illness? Do the data support a boundary between disorder and normal variation? Is it possible to envision a nosology based on genetically informed disease mechanisms? This review provides an overview of conceptual issues and genetic findings that bear on the relationships among and boundaries between psychiatric disorders and other conditions. We highlight implications for the evolving classification of psychopathology and the challenges for clinical translation.Item Psychiatric Genomics: An Update and an Agenda(American Psychiatric Association, 2018-01-01) Sullivan, Patrick F.; Agrawal, Arpana; Bulik, Cynthia M.; Andreassen, Ole A.; Børglum, Anders D.; Breen, Gerome; Cichon, Sven; Edenberg, Howard J.; Faraone, Stephen V.; Gelernter, Joel; Mathews, Carol A.; Nievergelt, Caroline M.; Smoller, Jordan W.; O’Donovan, Michael C.; Psychiatric Genomics Consortium; Biochemistry and Molecular Biology, School of MedicineThe Psychiatric Genomics Consortium (PGC) is the largest consortium in the history of psychiatry. This global effort is dedicated to rapid progress and open science, and in the past decade it has delivered an increasing flow of new knowledge about the fundamental basis of common psychiatric disorders. The PGC has recently commenced a program of research designed to deliver "actionable" findings-genomic results that 1) reveal fundamental biology, 2) inform clinical practice, and 3) deliver new therapeutic targets. The central idea of the PGC is to convert the family history risk factor into biologically, clinically, and therapeutically meaningful insights. The emerging findings suggest that we are entering a phase of accelerated genetic discovery for multiple psychiatric disorders. These findings are likely to elucidate the genetic portions of these truly complex traits, and this knowledge can then be mined for its relevance for improved therapeutics and its impact on psychiatric practice within a precision medicine framework. [AJP at 175: Remembering Our Past As We Envision Our Future November 1946: The Genetic Theory of Schizophrenia Franz Kallmann's influential twin study of schizophrenia in 691 twin pairs was the largest in the field for nearly four decades.