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Antonatos C, Pontikas A, Akritidis A, Georgiou S, Stratigos AJ, Kleidona IA, Gregoriou S, Grafanaki K, Vasilopoulos Y. Neuroticism and inflammatory skin diseases: a bidirectional Mendelian randomization study. Arch Dermatol Res 2024; 316:213. [PMID: 38787431 DOI: 10.1007/s00403-024-03017-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 04/07/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024]
Abstract
Previous observational studies have linked inflammatory skin diseases with mental health issues and neuroticism. However, the specific impact of neuroticism and its subclusters (i.e. worry, depressed affect, and sensitivity to environmental stress and adversity) on these conditions remains underexplored. In this work, we explored causal associations between common inflammatory skin diseases and neuroticism. We conducted a two-sample, bidirectional Mendelian randomization (MR) analysis using data from genome-wide association studies in psoriasis, atopic dermatitis, neuroticism and relevant genetic subclusters conducted on participants of European ancestry. Corrections for sample overlap were applied where necessary. We found that psoriasis was causally associated with increased levels of worry (odds ratio, 95% confidence intervals: 1.011, 1.006-1.016, P = 3.84 × 10-6) while none of the neuroticism subclusters showed significant association with psoriasis. Sensitivity analyses revealed considerable evidence of directional pleiotropy between psoriasis and neuroticism traits. Conversely, genetic liability to atopic dermatitis did not exhibit any significant association with neuroticism traits. Notably, genetically predicted worry was linked to an elevated risk of atopic dermatitis (odds ratio, 95% confidence intervals: 1.227, 1.067-1.41, P = 3.97 × 10-3). Correction for overlapping samples confirmed the robustness of these results. These findings suggest potential avenues for future interventions aimed at reducing stress and worry among patients with inflammatory skin conditions.
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Affiliation(s)
- Charalabos Antonatos
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504, Patras, Greece
| | - Alexandros Pontikas
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504, Patras, Greece
| | - Adam Akritidis
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504, Patras, Greece
| | - Sophia Georgiou
- Department of Dermatology-Venereology, School of Medicine, University of Patras, 26504, Patras, Greece
| | - Alexander J Stratigos
- Department of Dermatology-Venereology, Faculty of Medicine, Andreas Sygros Hospital, National and Kapodistrian University of Athens, 16121, Athens, Greece
| | - Ileana Afroditi Kleidona
- Department of Dermatology-Venereology, Faculty of Medicine, Andreas Sygros Hospital, National and Kapodistrian University of Athens, 16121, Athens, Greece
| | - Stamatis Gregoriou
- Department of Dermatology-Venereology, Faculty of Medicine, Andreas Sygros Hospital, National and Kapodistrian University of Athens, 16121, Athens, Greece
| | - Katerina Grafanaki
- Department of Dermatology-Venereology, School of Medicine, University of Patras, 26504, Patras, Greece.
- Department of Biochemistry, School of Medicine, University of Patras, 26504, Patras, Greece.
| | - Yiannis Vasilopoulos
- Laboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, 26504, Patras, Greece.
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May AK, Smeeth D, McEwen F, Karam E, Rieder MJ, Elzagallaai AA, van Uum S, Lionetti F, Pluess M. The role of environmental sensitivity in the mental health of Syrian refugee children: a multi-level analysis. Mol Psychiatry 2024:10.1038/s41380-024-02573-x. [PMID: 38702371 DOI: 10.1038/s41380-024-02573-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 05/06/2024]
Abstract
Individuals with high environmental sensitivity have nervous systems that are disproportionately receptive to both the protective and imperilling aspects of the environment, suggesting their mental health is strongly context-dependent. However, there have been few consolidated attempts to examine putative markers of sensitivity, across different levels of analysis, within a single cohort of individuals with high-priority mental health needs. Here, we examine psychological (self-report), physiological (hair hormones) and genetic (polygenic scores) markers of sensitivity in a large cohort of 1591 Syrian refugee children across two waves of data. Child-caregiver dyads were recruited from informal tented settlements in Lebanon, and completed a battery of psychological instruments at baseline and follow-up (12 months apart). Univariate and multivariate Bayesian linear mixed models were used to examine a) the interrelationships between markers of sensitivity and b) the ability of sensitivity markers to predict anxiety, depression, post-traumatic stress disorder, and externalising behaviour. Self-reported sensitivity (using the Highly Sensitive Child Scale) significantly predicted a higher burden of all forms of mental illness across both waves, however, there were no significant cross-lagged pathways. Physiological and genetic markers were not stably predictive of self-reported sensitivity, and failed to similarly predict mental health outcomes. The measurement of environmental sensitivity may have significant implications for identifying and treating mental illness, especially amongst vulnerable populations, but clinical utility is currently limited to self-report assessment.
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Affiliation(s)
- Andrew K May
- Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Demelza Smeeth
- Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Fiona McEwen
- Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of War Studies, King's College London, London, UK
| | - Elie Karam
- Department of Psychiatry and Clinical Psychology, Balamand University, St Georges Hospital University Medical Center, Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
| | - Michael J Rieder
- Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Abdelbaset A Elzagallaai
- Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Stan van Uum
- Division of Endocrinology and Metabolism, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Francesca Lionetti
- Department of Neuroscience, Imaging and Clinical Science, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Michael Pluess
- Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
- Department of Psychological Sciences, School of Psychology, University of Surrey, Guildford, UK.
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3
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Wu H, Xia Y, Luo Q, Li Q, Jiang H, Xiong Y. Psychological Distress and Meniere's Disease: A Bidirectional Two-Sample Mendelian Randomization Study. Otolaryngol Head Neck Surg 2024; 170:1391-1403. [PMID: 38123520 DOI: 10.1002/ohn.610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 11/15/2023] [Accepted: 11/24/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE This study is aim to explore the causal relationship between anxiety, depression, neuroticism, and Meniere's disease (MD). STUDY DESIGN Two-sample bidirectional Mendelian randomization (MR) analyses. SETTING IEU, FinnGen, CTG, and UKB databases. METHODS The genome-wide association studies data for anxiety, depression, neuroticism, and MD involved over 357,957 participants. MR was performed to explore relationships between anxiety, depression, neuroticism, and MD. Sensitivity analyses were performed to assess the robustness of the MR results. Reverse MR was used to exclude the possibility of reverse causality. Finally, multivariate MR was performed to explore the collinear relationships between neuroticism subclusters. RESULTS MR results showed that anxiety and depression are not causes of MD, nor does MD cause anxiety and depression. Elevated neuroticism sum score is a cause of anxiety, depression, and MD, but MD does not lead to an increase in the level of neuroticism sum score. Further analysis showed that the 5 subclusters of neuroticism often feel lonely, mood often goes up and down, often feel fed-up, feelings easily hurt, and sensitivity to environmental stress and adversity are causes of MD. Multivariate MR analysis results suggested that the 5 neuroticism subclusters have a collinear relationship. CONCLUSION Anxiety and depression are not causative factors of MD, and vice versa. Elevated neuroticism levels serve as a shared causative factor for anxiety, depression, and MD. Identification and effective management of neuroticism is a potential target for preventing and treating MD.
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Affiliation(s)
- Huadong Wu
- Department of Otolaryngology, The first Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Otorhinolaryngology Institute of Jiangxi Province, Nanchang Univeristy, Nanchang, Jiangxi, China
| | - Yunyan Xia
- Department of Otolaryngology, The first Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Otorhinolaryngology Institute of Jiangxi Province, Nanchang Univeristy, Nanchang, Jiangxi, China
- National Clinical Research Center for Otolaryngologic Diseases, Jiangxi Branch Center, Nanchang, China
| | - Qing Luo
- Department of Otolaryngology, The first Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Otorhinolaryngology Institute of Jiangxi Province, Nanchang Univeristy, Nanchang, Jiangxi, China
- National Clinical Research Center for Otolaryngologic Diseases, Jiangxi Branch Center, Nanchang, China
| | - Qiang Li
- Department of Otolaryngology, Wenshan Zhuang and Miao Autonomous Prefecture People's Hospital, Wenshan, China
| | - Hongqun Jiang
- Department of Otolaryngology, The first Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Otorhinolaryngology Institute of Jiangxi Province, Nanchang Univeristy, Nanchang, Jiangxi, China
- National Clinical Research Center for Otolaryngologic Diseases, Jiangxi Branch Center, Nanchang, China
| | - Yuanping Xiong
- Department of Otolaryngology, The first Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Otorhinolaryngology Institute of Jiangxi Province, Nanchang Univeristy, Nanchang, Jiangxi, China
- National Clinical Research Center for Otolaryngologic Diseases, Jiangxi Branch Center, Nanchang, China
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Chan II, Wu AM. Assessing the Role of Cortisol in Anxiety, Major Depression, and Neuroticism: A Mendelian Randomization Study Using SERPINA6/ SERPINA1 Variants. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100294. [PMID: 38525495 PMCID: PMC10959652 DOI: 10.1016/j.bpsgos.2024.100294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 02/08/2024] [Accepted: 02/11/2024] [Indexed: 03/26/2024] Open
Abstract
Background Previous evidence informed by the toxic stress model suggests that higher cortisol causes anxiety and major depression, but clinical success is lacking. To clarify the role of cortisol, we used Mendelian randomization to estimate its associations with anxiety, major depression, and neuroticism, leveraging the largest available genome-wide association studies including from the Psychiatric Genomics Consortium, the UK Biobank, and FinnGen. Methods After meta-analyzing 2 genome-wide association studies on morning plasma cortisol (n = 32,981), we selected single nucleotide polymorphisms (SNPs) at p < 5 × 10-8 and r2 < 0.3 in the SERPINA6/SERPINA1 gene region encoding proteins that influence cortisol bioavailability. We applied these SNPs to summary genetic associations with the outcomes considered (n = 17,310-449,484), and systolic blood pressure as a positive outcome, using inverse-variance weighted meta-analysis accounting for correlation. Sensitivity analyses addressing SNP correlation and confounding by childhood maltreatment and follow-up analyses using only SNPs that colocalized with SERPINA6 expression were conducted. Results Cortisol was associated with anxiety (pooled odds ratio [OR] 1.16 per cortisol z score; 95% CI, 1.04 to 1.31), but not major depression (pooled OR 1.02, 95% CI, 0.95 to 1.10) or neuroticism (β -0.025; 95% CI, -0.071 to 0.022). Sensitivity analyses yielded similar estimates. Cortisol was positively associated with systolic blood pressure, as expected. Using rs9989237 and rs2736898, selected using colocalization, cortisol was associated with anxiety in the UK Biobank (OR 1.32; 95% CI, 1.01 to 1.74) but not with major depression in FinnGen (OR 1.14; 95% CI, 0.95 to 1.37). Conclusions Cortisol was associated with anxiety and may be a potential target for prevention. Other targets may be more relevant to major depression and neuroticism.
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Affiliation(s)
- Io Ieong Chan
- Department of Public Health and Medicinal Administration, Faculty of Health Science, University of Macau, Macao, China
- Centre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China
| | - Anise M.S. Wu
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macao, China
- Centre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China
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5
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Ayorech Z, Torvik FA, Cheesman R, Eilertsen EM, Valstad M, Bjørndal LD, Røysamb E, Havdahl A, Ystrøm E. The structure of psychiatric comorbidity without selection and assortative mating. Transl Psychiatry 2024; 14:121. [PMID: 38409260 PMCID: PMC10897477 DOI: 10.1038/s41398-024-02768-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 12/04/2023] [Accepted: 01/10/2024] [Indexed: 02/28/2024] Open
Abstract
The widespread comorbidity observed across psychiatric disorders may be the result of processes such as assortative mating, gene-environment correlation, or selection into population studies. Between-family analyses of comorbidity are subject to these sources of bias, whereas within-family analyses are not. Because of Mendelian inheritance, alleles are randomly assigned within families, conditional on parental alleles. We exploit this variation to compare the structure of comorbidity across broad psychiatric polygenic scores when calculated either between-family (child polygenic scores) or within-family (child polygenic scores regressed on parental polygenic scores) in over 25,000 genotyped parent-offspring trios from the Norwegian Mother Father and Child Cohort study (MoBa). We fitted a series of factor models to the between- and within-family data, which consisted of a single genetic p-factor and a varying number of uncorrelated subfactors. The best-fitting model was identical for between- and within-family analyses and included three subfactors capturing variants associated with neurodevelopment, psychosis, and constraint, in addition to the genetic p-factor. Partner genetic correlations, indicating assortative mating, were not present for the genetic p-factor, but were substantial for the psychosis (b = 0.081;95% CI [0.038,0.124]) and constraint (b = 0.257;95% CI [0.075,0.439]) subfactors. When average factor levels for MoBa mothers and fathers were compared to a population mean of zero we found evidence of sex-specific participation bias, which has implications for the generalizability of findings from cohort studies. Our results demonstrate the power of the within-family design for better understanding the mechanisms driving psychiatric comorbidity and their consequences on population health.
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Affiliation(s)
- Ziada Ayorech
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway.
| | - Fartein Ask Torvik
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
| | - Espen M Eilertsen
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Mathias Valstad
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ludvig Daae Bjørndal
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
| | - Espen Røysamb
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Alexandra Havdahl
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
- Centre for Genetic Epidemiology and Mental Health (PsychGen), Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Spångbergveien 25, Oslo, 0853, Norway
| | - Eivind Ystrøm
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, 0373, Norway
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
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6
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Zhang H, Wang S, Ma S, Zhang C, Wang Z, Yan P. Causal relationship between worry, tension, insomnia, sensitivity to environmental stress and adversity, and erectile dysfunction: a study using Mendelian randomization. Andrology 2023. [PMID: 38131625 DOI: 10.1111/andr.13574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/17/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND This study aims to investigate the causal relationship between erectile dysfunction (ED) and psychological states including worry, tension, insomnia, sensitivity to environmental stress and adversity (SESA). METHOD This study the used two-sample bi-directional Mendelian randomization (MR) method. The study data was obtained from a pooled dataset of genome-wide association studies (GWAS). The bi-directional MR analysis was performed using inverse variance weighting, weighted median method, and MR-Egger regression analysis to assess the causality between ED and psychological states including worry, tension, insomnia, SESA in terms of odd ratios (OR). The study tested for heterogeneity using the Cochran Q method and for multiple validity using the MR-Egger and MR-PRESSO methods. RESULTS In forward MR analysis correlating worry, tension, insomnia, and SESA as exposures, no causal relationship was found between worry or tension and ED (p < 0.05). However, insomnia (p = 0.001, OR = 3.441, 95%CI = 1.593-7.435) and SESA (p = 0.004, OR = 1.804, 95%CI = 1.203-2.701) were found to have a significant causal effect on ED risk. The reverse MR analysis with ED as the exposure did not show any significant correlation (all p > 0.05). CONCLUSION Individuals with insomnia and SESA are at higher risk for developing ED. Clinical evaluation should be more thorough for these individuals. Insomnia can be treated simultaneously with psychological counseling to reduce the risk of ED. In addition, there is no evidence to suggest that worry and tension increase the risk of ED.
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Affiliation(s)
- Hao Zhang
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, Taipa, Macao SAR, China
| | - Shiqi Wang
- The First Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China
| | - Sicheng Ma
- Zhongjing Academy, Henan University of Traditional Chinese Medicine, Zhengzhou, China
| | - Chenming Zhang
- The Second Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou, China
| | - Zulong Wang
- The First Affiliated Hospital, Henan University of Chinese Medicine, Zhengzhou, China
| | - Peiyu Yan
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, Taipa, Macao SAR, China
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology Zhuhai MUST Science and Technology Research Institute, Macau University of Science and Technology, Macao, Taipa, Macao SAR, China
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7
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Wen J, Zhao B, Yang Z, Erus G, Skampardoni I, Mamourian E, Cui Y, Hwang G, Bao J, Boquet-Pujadas A, Zhou Z, Veturi Y, Ritchie MD, Shou H, Thompson PM, Shen L, Toga AW, Davatzikos C. The Genetic Architecture of Multimodal Human Brain Age. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.13.536818. [PMID: 37333190 PMCID: PMC10274645 DOI: 10.1101/2023.04.13.536818] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
The complex biological mechanisms underlying human brain aging remain incompletely understood, involving multiple body organs and chronic diseases. In this study, we used multimodal magnetic resonance imaging and artificial intelligence to examine the genetic architecture of the brain age gap (BAG) derived from gray matter volume (GM-BAG, N=31,557 European ancestry), white matter microstructure (WM-BAG, N=31,674), and functional connectivity (FC-BAG, N=32,017). We identified sixteen genomic loci that reached genome-wide significance (P-value<5×10-8). A gene-drug-disease network highlighted genes linked to GM-BAG for treating neurodegenerative and neuropsychiatric disorders and WM-BAG genes for cancer therapy. GM-BAG showed the highest heritability enrichment for genetic variants in conserved regions, whereas WM-BAG exhibited the highest heritability enrichment in the 5' untranslated regions; oligodendrocytes and astrocytes, but not neurons, showed significant heritability enrichment in WM and FC-BAG, respectively. Mendelian randomization identified potential causal effects of several exposure variables on brain aging, such as type 2 diabetes on GM-BAG (odds ratio=1.05 [1.01, 1.09], P-value=1.96×10-2) and AD on WM-BAG (odds ratio=1.04 [1.02, 1.05], P-value=7.18×10-5). Overall, our results provide valuable insights into the genetics of human brain aging, with clinical implications for potential lifestyle and therapeutic interventions. All results are publicly available at the MEDICINE knowledge portal: https://labs.loni.usc.edu/medicine.
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Affiliation(s)
- Junhao Wen
- Laboratory of AI and Biomedical Science (LABS), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Bingxin Zhao
- Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Ioanna Skampardoni
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Elizabeth Mamourian
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Yuhan Cui
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Gyujoon Hwang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Jingxuan Bao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | | | - Zhen Zhou
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Yogasudha Veturi
- Department of Biobehavioral Health and Statistics, Penn State University, University Park, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Haochang Shou
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina del Rey, California
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging (LONI), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
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8
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Castellini G, Merola GP, Baccaredda Boy O, Pecoraro V, Bozza B, Cassioli E, Rossi E, Bessi V, Sorbi S, Nacmias B, Ricca V. Emotional dysregulation, alexithymia and neuroticism: a systematic review on the genetic basis of a subset of psychological traits. Psychiatr Genet 2023; 33:79-101. [PMID: 36729042 PMCID: PMC10158611 DOI: 10.1097/ypg.0000000000000335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/24/2022] [Indexed: 02/03/2023]
Abstract
Neuroticism, alexithymia and emotion dysregulation are key traits and known risk factors for several psychiatric conditions. In this systematic review, the aim is to evaluate the genetic contribution to these psychological phenotypes. A systematic review of articles found in PubMed was conducted. Search terms included 'genetic', 'GWAS', 'neuroticism', 'alexithymia' and 'emotion dysregulation'. Risk of bias was assessed utilizing the STREGA checklist. Two hundred two papers were selected from existing literature based on the inclusion and exclusion criteria. Among these, 27 were genome-wide studies and 175 were genetic association studies. Single gene association studies focused on selected groups of genes, mostly involved in neurotransmission, with conflicting results. GWAS studies on neuroticism, on the other hand, found several relevant and replicated intergenic and intronic loci affecting the expression and regulation of crucial and well-known genes (such as DRD2 and CRHR1). Mutations in genes coding for trascriptional factors were also found to be associated with neuroticism (DCC, XKR6, TCF4, RBFOX1), as well as a noncoding regulatory RNA (LINC00461). On the other hand, little GWAS data are available on alexythima and emotional dysregulation.
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Affiliation(s)
| | | | | | | | | | | | | | - Valentina Bessi
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
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9
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Ayorech Z, Cheesman R, Eilertsen EM, Bjørndal LD, Røysamb E, McAdams TA, Havdahl A, Ystrom E. Maternal depression and the polygenic p factor: A family perspective on direct and indirect effects. J Affect Disord 2023; 332:159-167. [PMID: 36963516 DOI: 10.1016/j.jad.2023.03.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/03/2023] [Accepted: 03/16/2023] [Indexed: 03/26/2023]
Abstract
Within-family studies typically assess indirect genetic effects of parents on children, however social support theory points to a critical role of partners and children on women's depression. To address this research gap and account for the high heterogeneity of depression, we calculated a general psychiatric factor using eleven major psychiatric polygenic scores (polygenic p), in up to 25,000 parent-offspring trios from the Norwegian Mother, Father and Child Cohort Study (MoBa). Multilevel modeling of trio polygenic p was used to distinguish direct and indirect genetic effects on mothers depression during pregnancy (gestational age 17 and 30 weeks), infancy (6 months, 18 months) and early childhood (3 years, 5 years, and 8 years). We found mothers polygenic p predicts their depression symptoms (b = 0.092; 95 % CI [0.087,0.098]), outperforming prediction using a single major depressive disorder polygenic score (b = 0.070, 95 % CI [0.066,0.075]). Jointly modeling trio polygenic p revealed indirect genetic effects of fathers (b = 0.022, 95 % CI [0.014,0.030]) and children (b = 0.021, 95 % CI [0.010,0.037]) on mothers' depression. Our results support the generalizability of polygenic effects across mental health and highlight the role of close family members on women's depression.
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Affiliation(s)
- Ziada Ayorech
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway.
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Espen M Eilertsen
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway; Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ludvig Daae Bjørndal
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Espen Røysamb
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Tom A McAdams
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alexandra Havdahl
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway; Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway; Nic Waals Institute, Spångbergveien 25, 0853 Oslo, Norway
| | - Eivind Ystrom
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo 0373, Norway; Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
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10
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Petrican R, Fornito A. Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing. Dev Cogn Neurosci 2023; 60:101229. [PMID: 36947895 PMCID: PMC10041470 DOI: 10.1016/j.dcn.2023.101229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/08/2023] [Accepted: 03/12/2023] [Indexed: 03/18/2023] Open
Abstract
In adulthood, stress exposure and genetic risk heighten psychological vulnerability by accelerating neurobiological senescence. To investigate whether molecular and brain network maturation processes play a similar role in adolescence, we analysed genetic, as well as longitudinal task neuroimaging (inhibitory control, incentive processing) and early life adversity (i.e., material deprivation, violence) data from the Adolescent Brain and Cognitive Development study (N = 980, age range: 9-13 years). Genetic risk was estimated separately for Major Depressive Disorder (MDD) and Alzheimer's Disease (AD), two pathologies linked to stress exposure and allegedly sharing a causal connection (MDD-to-AD). Adversity and genetic risk for MDD/AD jointly predicted functional network segregation patterns suggestive of accelerated (GABA-linked) visual/attentional, but delayed (dopamine [D2]/glutamate [GLU5R]-linked) somatomotor/association system development. A positive relationship between brain maturation and psychopathology emerged only among the less vulnerable adolescents, thereby implying that normatively maladaptive neurodevelopmental alterations could foster adjustment among the more exposed and genetically more stress susceptible youths. Transcriptomic analyses suggested that sensitivity to stress may underpin the joint neurodevelopmental effect of adversity and genetic risk for MDD/AD, in line with the proposed role of negative emotionality as a precursor to AD, likely to account for the alleged causal impact of MDD on dementia onset.
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Affiliation(s)
- Raluca Petrican
- Institute of Population Health, Department of Psychology, University of Liverpool, Bedford Street South, Liverpool L69 7ZA, United Kingdom.
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
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11
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Sinkala M, Elsheikh SSM, Mbiyavanga M, Cullinan J, Mulder NJ. A genome-wide association study identifies distinct variants associated with pulmonary function among European and African ancestries from the UK Biobank. Commun Biol 2023; 6:49. [PMID: 36641522 PMCID: PMC9840173 DOI: 10.1038/s42003-023-04443-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 01/09/2023] [Indexed: 01/16/2023] Open
Abstract
Pulmonary function is an indicator of well-being, and pulmonary pathologies are the third major cause of death worldwide. We analysed the UK Biobank genome-wide association summary statistics of pulmonary function for Europeans and individuals of recent African descent to identify variants associated with the trait in the two ancestries. Here, we show 627 variants in Europeans and 3 in Africans associated with three pulmonary function parameters. In addition to the 110 variants in Europeans previously reported to be associated with phenotypes related to pulmonary function, we identify 279 novel loci, including an ISX intergenic variant rs369476290 on chromosome 22 in Africans. Remarkably, we find no shared variants among Africans and Europeans. Furthermore, enrichment analyses of variants separately for each ancestry background reveal significant enrichment for terms related to pulmonary phenotypes in Europeans but not Africans. Further analysis of studies of pulmonary phenotypes reveals that individuals of European background are disproportionally overrepresented in datasets compared to Africans, with the gap widening over the past five years. Our findings extend our understanding of the different variants that modify the pulmonary function in Africans and Europeans, a promising finding for future GWASs and medical studies.
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Affiliation(s)
- Musalula Sinkala
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa.
| | - Samar S M Elsheikh
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Mamana Mbiyavanga
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa
| | - Joshua Cullinan
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa
| | - Nicola J Mulder
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa
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12
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Runze J, Pappa I, Van IJzendoorn MH, Bakermans-Kranenburg MJ. Conduct Problems and Hair Cortisol Concentrations Decrease in School-Aged Children after VIPP-SD: A Randomized Controlled Trial in Two Twin Cohorts. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15026. [PMID: 36429745 PMCID: PMC9690337 DOI: 10.3390/ijerph192215026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/11/2022] [Accepted: 11/13/2022] [Indexed: 06/16/2023]
Abstract
The Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD) is effective in increasing parental sensitivity and sensitive discipline, and aims to decrease child behavior problems. Changes in quality of parenting may be accompanied by effects on child stress levels. However, studies of VIPP-SD effects on child behavior problems have shown mixed results and there are no studies to date of the effect of the intervention on children's stress levels, as measured by hair cortisol concentration (HCC). Furthermore, differences in intervention effectiveness may be explained by differential susceptibility factors. We hypothesized that the effects of the VIPP-SD on child behavior problems might be moderated by currently available child polygenic scores of differential susceptibility (PGS-DS). In the current pre-registered trial, we randomly assigned 40% of n = 445 families with school-aged twin children to the intervention group. The VIPP-SD was successful in decreasing both children's conduct problems and HCC. Effects were not moderated by available child PGS-DS. We conclude that a brief, home-based video-feedback parenting intervention can decrease child behavior problems and affect the child's stress-related neuroendocrine system as assessed with hair cortisol. In future studies, more specific PGS-DS for externalizing behaviors should be used as well as parental PGS-DS.
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Affiliation(s)
- Jana Runze
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
- Leiden Consortium on Individual Development, Leiden University and VU Amsterdam, 2311 EZ Leiden, The Netherlands
| | - Irene Pappa
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
- Leiden Consortium on Individual Development, Leiden University and VU Amsterdam, 2311 EZ Leiden, The Netherlands
| | - Marinus H. Van IJzendoorn
- Leiden Consortium on Individual Development, Leiden University and VU Amsterdam, 2311 EZ Leiden, The Netherlands
- Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, 3062 PA Rotterdam, The Netherlands
- Research Department of Clinical, Education and Health Psychology, Faculty of Brain Sciences, UCL, London WC1E 6BT, UK
| | - Marian J. Bakermans-Kranenburg
- Leiden Consortium on Individual Development, Leiden University and VU Amsterdam, 2311 EZ Leiden, The Netherlands
- Institute of Psychological, Social and Life Sciences, ISPA Lisbon, 1149-041 Lisbon, Portugal
- Center for Attachment Research, The New School for Social Research, New York, NY 10011, USA
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13
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Genetic variations in evolutionary accelerated regions disrupt cognition in schizophrenia. Psychiatry Res 2022; 314:114586. [PMID: 35623238 PMCID: PMC10150587 DOI: 10.1016/j.psychres.2022.114586] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 04/03/2022] [Accepted: 04/30/2022] [Indexed: 02/03/2023]
Abstract
Cognition is believed to be a product of human evolution, while schizophrenia is ascribed as the by-product with cognitive impairment as it's genetically mediated endophenotype. Genomic loci associated with these traits are enriched with recent evolutionary markers such as Human accelerated regions (HARs). HARs are markedly different in humans since their divergence with chimpanzees and mostly regulate gene expression by binding to transcription factors and/or modulating chromatin interactions. We hypothesize that variants within HARs may alter such functions and thus contribute to disease pathogenesis. 49 systematically prioritized variants from 2737 genome-wide HARs were genotyped in a north-Indian schizophrenia cohort (331 cases, 235 controls). Six variants were significantly associated with cognitive impairment in schizophrenia, thirteen with general cognition in healthy individuals. These variants were mapped to 122 genes; predicted to alter 79 transcription factors binding sites and overlapped with promoters, enhancers and/or repressors. These genes and TFs are implicated in neurocognitive phenotypes, autism, schizophrenia and bipolar disorders; a few are targets of common or repurposable antipsychotics suggesting their draggability; and enriched for immune response and brain developmental pathways. Immune response has been more strongly targeted by natural selection during human evolution and has a prominent role in neurodevelopment. Thus, its disruption may have deleterious consequences for neuronal and cognitive functions. Importantly, among the 15 associated SNPs, 12 showed association in several independent GWASs of different neurocognitive functions. Further analysis of HARs may be valuable to understand their role in cognition biology and identify improved therapeutics for schizophrenia.
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14
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Circulating miRNAs as Potential Biomarkers for Patient Stratification in Bipolar Disorder: A Combined Review and Data Mining Approach. Genes (Basel) 2022; 13:genes13061038. [PMID: 35741801 PMCID: PMC9222282 DOI: 10.3390/genes13061038] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 06/02/2022] [Accepted: 06/07/2022] [Indexed: 02/01/2023] Open
Abstract
Bipolar disorder is a debilitating psychiatric condition that is shaped in a concerted interplay between hereditary and triggering risk factors. Profound depression and mania define the disorder, but high clinical heterogeneity among patients complicates diagnosis as well as pharmacological intervention. Identification of peripheral biomarkers that capture the genomic response to the exposome may thus progress the development of personalized treatment. MicroRNAs (miRNAs) play a prominent role in of post-transcriptional gene regulation in the context of brain development and mental health. They are coordinately modulated by multifarious effectors, and alteration in their expression profile has been reported in a variety of psychiatric conditions. Intriguingly, miRNAs can be released from CNS cells and enter circulatory bio-fluids where they remain remarkably stable. Hence, peripheral circulatory miRNAs may act as bio-indicators for the combination of genetic risk, environmental exposure, and/or treatment response. Here we provide a comprehensive literature search and data mining approach that summarize current experimental evidence supporting the applicability of miRNAs for patient stratification in bipolar disorder.
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Barowsky S, Jung JY, Nesbit N, Silberstein M, Fava M, Loggia ML, Smoller JW, Lee PH. Cross-Disorder Genomics Data Analysis Elucidates a Shared Genetic Basis Between Major Depression and Osteoarthritis Pain. Front Genet 2021; 12:687687. [PMID: 34603368 PMCID: PMC8481820 DOI: 10.3389/fgene.2021.687687] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/23/2021] [Indexed: 11/24/2022] Open
Abstract
Osteoarthritis (OA) and major depression (MD) are two debilitating disorders that frequently co-occur and affect millions of the elderly each year. Despite the greater symptom severity, poorer clinical outcomes, and increased mortality of the comorbid conditions, we have a limited understanding of their etiologic relationships. In this study, we conducted the first cross-disorder investigations of OA and MD, using genome-wide association data representing over 247K cases and 475K controls. Along with significant positive genome-wide genetic correlations (r g = 0.299 ± 0.026, p = 9.10 × 10-31), Mendelian randomization (MR) analysis identified a bidirectional causal effect between OA and MD (βOA → MD = 0.09, SE = 0.02, z-score p-value < 1.02 × 10-5; βMD → OA = 0.19, SE = 0.026, p < 2.67 × 10-13), indicating genetic variants affecting OA risk are, in part, shared with those influencing MD risk. Cross-disorder meta-analysis of OA and MD identified 56 genomic risk loci (P meta ≤ 5 × 10-8), which show heightened expression of the associated genes in the brain and pituitary. Gene-set enrichment analysis highlighted "mechanosensory behavior" genes (GO:0007638; P gene_set = 2.45 × 10-8) as potential biological mechanisms that simultaneously increase susceptibility to these mental and physical health conditions. Taken together, these findings show that OA and MD share common genetic risk mechanisms, one of which centers on the neural response to the sensation of mechanical stimulus. Further investigation is warranted to elaborate the etiologic mechanisms of the pleiotropic risk genes, as well as to develop early intervention and integrative clinical care of these serious conditions that disproportionally affect the aging population.
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Affiliation(s)
- Sophie Barowsky
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Jae-Yoon Jung
- Department of Pediatrics, Stanford University, Stanford, CA, United States
| | - Nicholas Nesbit
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Micah Silberstein
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Maurizio Fava
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Depression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Marco L. Loggia
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Phil H. Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
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