Association of Schizophrenia Risk With Disordered Niacin Metabolism in an Indian Genome-wide Association Study.
- Authors
- Periyasamy, Sathish; John, Sujit; Padmavati, Raman; Rajendren, Preeti; Thirunavukkarasu, Priyadarshini; Gratten, Jacob; Vinkhuyzen, Anna; McRae, Allan; Holliday, Elizabeth G; Nyholt, Dale R; Nancarrow, Derek; Bakshi, Andrew; Hemani, Gibran; Nertney, Deborah; Smith, Heather; Filippich, Cheryl; Patel, Kalpana; Fowdar, Javed; McLean, Duncan; Tirupati, Srinivasan; Nagasundaram, Arunkumar; Gundugurti, Prasad Rao; Selvaraj, Krishnamurthy; Jegadeesan, Jayaprakash; Jorde, Lynn B; Wray, Naomi R; Brown, Matthew A; Suetani, Rachel; Giacomotto, Jean; Thara, Rangaswamy; Mowry, Bryan J
- Year
- 2019
- Journal
- JAMA psychiatry
- PMID
- 31268507
- DOI
- 10.1001/jamapsychiatry.2019.1335
- PMCID
- PMC6613304
IMPORTANCE: Genome-wide association studies (GWASs) in European populations have identified more than 100 schizophrenia-associated loci. A schizophrenia GWAS in a unique Indian population offers novel findings. OBJECTIVE: To discover and functionally evaluate genetic loci for schizophrenia in a GWAS of a unique Indian population. DESIGN, SETTING, AND PARTICIPANTS: This GWAS included a sample of affected individuals, family members, and unrelated cases and controls. Three thousand ninety-two individuals were recruited and diagnostically ascertained via medical records, hospitals, clinics, and clinical networks in Chennai and surrounding regions. Affected participants fulfilled DSM-IV diagnostic criteria for schizophrenia. Unrelated control participants had no personal or family history of psychotic disorder. Recruitment, genotyping, and analysis occurred in consecutive phases beginning January 1, 2001. Recruitment was completed on February 28, 2018, and genotyping and analysis are ongoing. MAIN OUTCOMES AND MEASURES: Associations of single-nucleotide polymorphisms and gene expression with schizophrenia. RESULTS: The study population included 1321 participants with schizophrenia, 885 family controls, and 886 unrelated controls. Among participants with schizophrenia, mean (SD) age was 39.1 (11.4) years, and 52.7% were male. This sample demonstrated uniform ethnicity, a degree of inbreeding, and negligible rates of substance abuse. A novel genome-wide significant association was observed between schizophrenia and a chromosome 8q24.3 locus (rs10866912, allele A; odds ratio [OR], 1.27 [95% CI, 1.17-1.38]; Pβ=β4.35βΓβ10-8) that attracted support in the schizophrenia Psychiatric Genomics Consortium 2 data (rs10866912, allele A; OR, 1.04 [95% CI, 1.02-1.06]; Pβ=β7.56βΓβ10-4). This locus has undergone natural selection, with the risk allele A declining in frequency from India (approximately 72%) to Europe (approximately 43%). rs10866912 directly modifies the abundance of the nicotinate phosphoribosyltransferase gene (NAPRT1) transcript in brain cortex (normalized effect size, 0.79; 95% CI, 0.6-1.0; Pβ=β5.8βΓβ10-13). NAPRT1 encodes a key enzyme for niacin metabolism. In Indian lymphoblastoid cell lines, (risk) allele A of rs10866912 was associated with NAPRT1 downregulation (AA: 0.74, n = 21; CC: 1.56, n = 17; Pβ=β.004). Preliminary zebrafish data further suggest that partial loss of function of NAPRT1 leads to abnormal brain development. CONCLUSIONS AND RELEVANCE: Bioinformatic analyses and cellular and zebrafish gene expression studies implicate NAPRT1 as a novel susceptibility gene. Given this gene's role in niacin metabolism and the evidence for niacin deficiency provoking schizophrenialike symptoms in neuropsychiatric diseases such as pellagra and Hartnup disease, these results suggest that the rs10866912 genotype and niacin status may have implications for schizophrenia susceptibility and treatment.
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
No citations found.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond. | 2022 | 36207451 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Integrating genetic regulation and schizophrenia-specific splicing quantitative expression with GWAS prioritizes novel risk genes for schizophrenia. | Li X et al. | β | 2025 | β |
| Moxibustion inhibits inflammation in monosodium urate crystal-induced gouty arthritis model rats through metabolomic regulation. | Xie Y et al. | β | 2025 | β |
| Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids. | Bentley AR et al. | β | 2025 | β |
| The Role of Astrocytes in the Molecular Pathophysiology of Schizophrenia: Between Neurodevelopment and Neurodegeneration. | Vellucci L et al. | β | 2025 | β |
| The X chromosome's influences on the human brain. | Jiang Z et al. | β | 2025 | β |
| Altered HCAR3 expression may underlying the blunted niacin responses of the psychiatric disorders and the risk of schizophrenia. | Jiang J et al. | β | 2024 | β |
| Genetic architecture and socio-environmental risk factors for major depressive disorder in Nepal. | Choi KW et al. | β | 2024 | β |
| Genome-wide association studies and polygenic risk score phenome-wide association studies across complex phenotypes in the human phenotype project. | Levine Z et al. | β | 2024 | β |
| Hub genes, a diagnostic model, and immune infiltration based on ferroptosis-linked genes in schizophrenia. | Lian K et al. | β | 2024 | β |
| Replication of previous autism-GWAS hits suggests the association between <i>NAA1, SORCS3,</i> and <i>GSDME</i> and autism in the Han Chinese population. | Lin F et al. | β | 2024 | β |
| The role of cell adhesion molecule IgSF9b at the inhibitory synapse and psychiatric disease. | Clarin JD et al. | β | 2024 | β |
| Advances in Zebrafish as a Comprehensive Model of Mental Disorders. | Wang L et al. | β | 2023 | β |
| Altered distribution and localization of organellar Na<sup>+</sup>/H<sup>+</sup> exchangers in postmortem schizophrenia dorsolateral prefrontal cortex. | Pruett BS et al. | β | 2023 | β |
| Altered DNA methylation and gene expression predict disease severity in patients with Aicardi-GoutiΓ¨res syndrome. | Garau J et al. | β | 2023 | β |
| Brain transcriptome-wide association study implicates novel risk genes underlying schizophrenia risk. | Zhang C et al. | β | 2023 | β |
| Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes. | Periyasamy S et al. | β | 2023 | β |
| The genetic architecture of schizophrenia: review of large-scale genetic studies. | Kato H et al. | β | 2023 | β |
| A potential objective marker in first-episode schizophrenia based on abnormal niacin response. | Hu Y et al. | β | 2022 | β |
| Breathomics profiling of metabolic pathways affected by major depression: Possibilities and limitations. | Gbaoui L et al. | β | 2022 | β |
| Comprehensive and integrative analyses identify TYW5 as a schizophrenia risk gene. | Zhang C et al. | β | 2022 | β |
| Emerging evidence for astrocyte dysfunction in schizophrenia. | de Oliveira Figueiredo EC et al. | β | 2022 | β |
| Gene-based association tests using GWAS summary statistics and incorporating eQTL. | Cao X et al. | β | 2022 | β |
| Multi-Omics Analysis Reveals Myelin, Presynaptic and Nicotinate Alterations in the Hippocampus of G72/G30 Transgenic Mice. | Filiou MD et al. | β | 2022 | β |
| Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond. | Gaddis N et al. | β | 2022 | β |
| Potential diagnostic biomarkers for schizophrenia. | Yue W et al. | β | 2022 | β |
| Regulation of NAD<sup>+</sup> metabolism in aging and disease. | Chu X et al. | β | 2022 | β |
| Schizophrenia construct: Quandaries and conundrums in India and LAMIC. | Rangaswamy T et al. | β | 2022 | β |
| Sensitive period-regulating genetic pathways and exposure to adversity shape risk for depression. | Zhu Y et al. | β | 2022 | β |
| A genome-wide association study identifies a gene network associated with paranoid schizophrenia and antipsychotics-induced tardive dyskinesia. | Levchenko A et al. | β | 2021 | β |
| Current Aspects of the Role of Autoantibodies Directed Against Appetite-Regulating Hormones and the Gut Microbiome in Eating Disorders. | Smitka K et al. | β | 2021 | β |
| Gene-based association analysis identifies 190 genes affecting neuroticism. | Belonogova NM et al. | β | 2021 | β |
| Genetic architecture of schizophrenia: a review of major advancements. | Legge SE et al. | β | 2021 | β |
| Genetic underpinnings of affective temperaments: a pilot GWAS investigation identifies a new genome-wide significant SNP for anxious temperament in ADGRB3 gene. | Gonda X et al. | β | 2021 | β |
| Genome-wide association study of psychiatric and substance use comorbidity in Mexican individuals. | MartΓnez-MagaΓ±a JJ et al. | β | 2021 | β |
| <i>NAPRT</i> Expression Regulation Mechanisms: Novel Functions Predicted by a Bioinformatics Approach. | Duarte-Pereira S et al. | β | 2021 | β |
| Integrative Analyses Followed by Functional Characterization Reveal TMEM180 as a Schizophrenia Risk Gene. | Wang JY et al. | β | 2021 | β |
| Need for Ethnic and Population Diversity in Psychosis Research. | Burkhard C et al. | β | 2021 | β |
| Sensitive period-regulating genetic pathways and exposure to adversity shape risk for depression | Zhu Y et al. | β | 2021 | β |
| Simultaneous quantification of 26 NAD-related metabolites in plasma, blood, and liver tissue using UHPLC-MS/MS. | Cuny H et al. | β | 2021 | β |
| Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits. | Zhao B et al. | β | 2021 | β |
| Genome-Wide Association Study of Suicide Death and Polygenic Prediction of Clinical Antecedents. | Docherty AR et al. | β | 2020 | β |
| Genome-wide DNA methylation analysis of heavy cannabis exposure in a New Zealand longitudinal cohort. | Osborne AJ et al. | β | 2020 | β |