Mapping the genetic landscape across 14 psychiatric disorders, 2025, Grotzinger et al.

SNT Gatchaman

Senior Member (Voting Rights)
Staff member
Mapping the genetic landscape across 14 psychiatric disorders
Grotzinger, Andrew D; Werme, Josefin; Peyrot, Wouter J; Frei, Oleksandr; de Leeuw, Christiaan; Bicks, Lucy K; Guo, Qiuyu; Margolis, Michael P; Coombes, Brandon J; Batzler, Anthony; Pazdernik, Vanessa; Biernacka, Joanna M; Andreassen, Ole A; Anttila, Verneri; Børglum, Anders D; Breen, Gerome; Cai, Na; Demontis, Ditte; Edenberg, Howard J; Faraone, Stephen V; Franke, Barbara; Gandal, Michael J; Gelernter, Joel; Hatoum, Alexander S; Hettema, John M; Johnson, Emma C; Jonas, Katherine G; Knowles, James A; Koenen, Karestan C; Maihofer, Adam X; Mallard, Travis T; Mattheisen, Manuel; Mitchell, Karen S; Neale, Benjamin M; Nievergelt, Caroline M; Nurnberger, John I; O’Connell, Kevin S; Peterson, Roseann E; Robinson, Elise B; Sanchez-Roige, Sandra S; Santangelo, Susan L; Scharf, Jeremiah M; Stefansson, Hreinn; Stefansson, Kari; Stein, Murray B; Strom, Nora I; Thornton, Laura M; Tucker-Drob, Elliot M; Verhulst, Brad; Waldman, Irwin D; Walters, G Bragi; Wray, Naomi R; Yu, Dongmei; Lee, Phil H; Kendler, Kenneth S; Smoller, Jordan W

Psychiatric disorders display high levels of comorbidity and genetic overlap1,2, challenging current diagnostic boundaries. For disorders for which diagnostic separation has been most debated, such as schizophrenia and bipolar disorder3, genomic methods have revealed that the majority of genetic signal is shared4. While over a hundred pleiotropic loci have been identified by recent cross-disorder analyses5, the full scope of shared and disorder-specific genetic influences remains poorly defined.

Here we addressed this gap by triangulating across a suite of cutting-edge statistical and functional genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders (1,056,201 cases).

Using genetic association data from common variants, we identified and characterized five underlying genomic factors that explained the majority of the genetic variance of the individual disorders (around 66% on average) and were associated with 238 pleiotropic loci.

The two factors defined by (1) Schizophrenia and bipolar disorders (SB factor); and (2) major depression, PTSD and anxiety (Internalizing factor) showed high levels of polygenic overlap6 and local genetic correlation and very few disorder-specific loci. The genetic signal shared across all 14 disorders was enriched for broad biological processes (for example, transcriptional regulation), while more specific pathways were shared at the level of the individual factors. The shared genetic signal across the SB factor was substantially enriched in genes expressed in excitatory neurons, whereas the Internalizing factor was associated with oligodendrocyte biology.

These observations may inform a more neurobiologically valid psychiatric nosology and implicate targets for therapeutic development designed to treat commonly occurring comorbid presentations.

Web | DOI | PDF | Nature | Open Access
 
Nature: Huge genetic study reveals hidden links between psychiatric conditions

The results, published today in Nature1, reveal that people with seemingly disparate conditions often share many of the same disease-linked genetic variants. The analysis found that 14 major psychiatric disorders cluster into five categories, each characterized by a common set of genetic risk factors. The neurodevelopmental category, for example, includes both attention deficit hyperactivity disorder and autism, which psychiatric handbooks classify as separate conditions.

Many supposedly individual conditions are “ultimately more overlapping than they are distinct, which should offer patients hope”, says study co-author Andrew Grotzinger, a psychiatric geneticist at the University of Colorado Boulder. “You can see the despair on someone’s face [when] you give them five different labels as opposed to one label.”

These findings could have large implications for how mental-health disorders are classified, moving the field towards a system based on cell biology rather than observation of symptoms, says Terrie Moffitt, a clinical psychologist at Duke University in Durham, North Carolina. This challenges the historical diagnostic boundaries in manuals used by psychiatrists around the world, and suggests that the high prevalence of multiple disorders at once is not coincidental, but is a reflection of shared underlying biology.


Progress.
 
Back
Top Bottom