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Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders
- Source :
- Biological Psychiatry, 91(1), 102-117. Elsevier Science, Biological Psychiatry, 91(1), 102-117. Elsevier USA, Blokland, G A M, Grove, J, Chen, C Y, Cotsapas, C, Tobet, S, Handa, R, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium & iPSYCH 2022, ' Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders ', Biological Psychiatry, vol. 91, no. 1, pp. 102-117 . https://doi.org/10.1016/j.biopsych.2021.02.972, Biological Psychiatry, 91, 1, pp. 102-117, Biological Psychiatry, Biological Psychiatry, 91, 102-117, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium & iPSYCH 2021, ' Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders ', Biological Psychiatry . https://doi.org/10.1016/j.biopsych.2021.02.972, Biol Psychiatry, Biological psychiatry 91(1), 102-117 (2022). doi:10.1016/j.biopsych.2021.02.972, Biological Psychiatry. Elsevier USA, Biological Psychiatry, 91(1), 102-117. Elsevier Inc., Biological psychiatry. Elsevier USA, Blokland, G A M, Grove, J, Chen, C, Cotsapas, C, Tobet, S, Sullivan, P F, Boomsma, D I, Penninx, B W J H, Hottenga, J-J, de Geus, E J C, Willemsen, G, Milaneschi, Y, Als, T D, Børglum, A D, Petryshen, T L, Smoller, J W, Goldstein, J M, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium & iPSYCH 2022, ' Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders ', Biological Psychiatry, vol. 91, no. 1, pp. 102-117 . https://doi.org/10.1016/j.biopsych.2021.02.972
- Publication Year :
- 2022
-
Abstract
- Contains fulltext : 248656.pdf (Publisher’s version ) (Closed access) BACKGROUND: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. METHODS: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. RESULTS: Across disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10(-8)), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10(-6)) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10(-7); rs73033497, p = 8.8 × 10(-7); rs7914279, p = 6.4 × 10(-7)), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10(-7)) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10(-7)), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10(-7)) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). CONCLUSIONS: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.
- Subjects :
- 0301 basic medicine
Male
Bipolar Disorder
Schizophrenia/genetics
LD SCORE REGRESSION
Genome-wide association study
0302 clinical medicine
Receptors
SCHIZOPHRENIA
Psychotic Disorders/genetics
KYNURENINE PATHWAY METABOLISM
Genetics
RISK
Sex Characteristics
Vascular Endothelial Growth Factor
Bipolar Disorder/genetics
Major/genetics
Single Nucleotide
AFFECTIVE STIMULI IMPACT
Schizophrenia
Sulfurtransferases
Major depressive disorder
Female
Depressive Disorder, Major/genetics
Bipolar disorder
Locus (genetics)
Genomics
Biology
Polymorphism, Single Nucleotide
Article
DYSPHORIC MOOD
03 medical and health sciences
Sex differences
medicine
Humans
Genetic Predisposition to Disease
ddc:610
Polymorphism
GENOME-WIDE ASSOCIATION
Genotype-by-sex interaction
Biological Psychiatry
Depressive Disorder, Major
Depressive Disorder
GENDER-DIFFERENCES
Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]
PARAVENTRICULAR NUCLEUS
3112 Neurosciences
Endothelial Cells
MAJOR DEPRESSION
medicine.disease
Genetic architecture
030104 developmental biology
Mood
Receptors, Vascular Endothelial Growth Factor
Psychotic Disorders
3111 Biomedicine
030217 neurology & neurosurgery
Genome-Wide Association Study
Subjects
Details
- Language :
- English
- ISSN :
- 00063223
- Database :
- OpenAIRE
- Journal :
- Biological Psychiatry, 91(1), 102-117. Elsevier Science, Biological Psychiatry, 91(1), 102-117. Elsevier USA, Blokland, G A M, Grove, J, Chen, C Y, Cotsapas, C, Tobet, S, Handa, R, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium & iPSYCH 2022, ' Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders ', Biological Psychiatry, vol. 91, no. 1, pp. 102-117 . https://doi.org/10.1016/j.biopsych.2021.02.972, Biological Psychiatry, 91, 1, pp. 102-117, Biological Psychiatry, Biological Psychiatry, 91, 102-117, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium & iPSYCH 2021, ' Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders ', Biological Psychiatry . https://doi.org/10.1016/j.biopsych.2021.02.972, Biol Psychiatry, Biological psychiatry 91(1), 102-117 (2022). doi:10.1016/j.biopsych.2021.02.972, Biological Psychiatry. Elsevier USA, Biological Psychiatry, 91(1), 102-117. Elsevier Inc., Biological psychiatry. Elsevier USA, Blokland, G A M, Grove, J, Chen, C, Cotsapas, C, Tobet, S, Sullivan, P F, Boomsma, D I, Penninx, B W J H, Hottenga, J-J, de Geus, E J C, Willemsen, G, Milaneschi, Y, Als, T D, Børglum, A D, Petryshen, T L, Smoller, J W, Goldstein, J M, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium & iPSYCH 2022, ' Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders ', Biological Psychiatry, vol. 91, no. 1, pp. 102-117 . https://doi.org/10.1016/j.biopsych.2021.02.972
- Accession number :
- edsair.doi.dedup.....f0f533f1ee51f80e7e36bf1609dfb7ae
- Full Text :
- https://doi.org/10.1016/j.biopsych.2021.02.972