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Pinakhina D, Yermakovich D, Vergasova E, Kasyanov E, Rukavishnikov G, Rezapova V, Kolosov N, Sergushichev A, Popov I, Kovalenko E, Ilinskaya A, Kim A, Plotnikov N, Ilinsky V, Neznanov N, Mazo G, Kibitov A, Rakitko A, Artomov M. GWAS of depression in 4,520 individuals from the Russian population highlights the role of MAGI2 ( S-SCAM) in the gut-brain axis. Front Genet 2023; 13:972196. [PMID: 36685848 PMCID: PMC9845291 DOI: 10.3389/fgene.2022.972196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/01/2022] [Indexed: 01/05/2023] Open
Abstract
We present the results of the depression Genome-wide association studies study performed on a cohort of Russian-descent individuals, which identified a novel association at chromosome 7q21 locus. Gene prioritization analysis based on already known depression risk genes indicated MAGI2 (S-SCAM) as the most probable gene from the locus and potential susceptibility gene for the disease. Brain and gut expression patterns were the main features highlighting functional relatedness of MAGI2 to the previously known depression risk genes. Local genetic covariance analysis, analysis of gene expression, provided initial suggestive evidence of hospital anxiety and depression scale and diagnostic and statistical manual of mental disorders scales having a different relationship with gut-brain axis disturbance. It should be noted, that while several independent methods successfully in silico validate the role of MAGI2, we were unable to replicate genetic association for the leading variant in the MAGI2 locus, therefore the role of rs521851 in depression should be interpreted with caution.
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Affiliation(s)
| | | | | | - Evgeny Kasyanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia
| | - Grigory Rukavishnikov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia
| | - Valeriia Rezapova
- ITMO University, Saint-Petersburg, Russia,Almazov National Medical Research Center, Saint-Petersburg, Russia,Broad Institute, Cambridge, MA, United States
| | - Nikita Kolosov
- ITMO University, Saint-Petersburg, Russia,Almazov National Medical Research Center, Saint-Petersburg, Russia,Broad Institute, Cambridge, MA, United States
| | | | | | | | | | | | | | - Valery Ilinsky
- Genotek Ltd., Moscow, Russia,V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia
| | - Nikholay Neznanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia,First Pavlov State Medical University of St. Petersburg, Saint-Petersburg, Russia
| | - Galina Mazo
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia
| | - Alexander Kibitov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia
| | - Alexander Rakitko
- Genotek Ltd., Moscow, Russia,V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint-Petersburg, Russia
| | - Mykyta Artomov
- Broad Institute, Cambridge, MA, United States,Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, United States,The Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH, United States,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, United States,*Correspondence: Mykyta Artomov,
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2
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Gustad LT, Holand AM, Hynnekleiv T, Bjerkeset O, Berk M, Romundstad S. The bidirectional association between depressive symptoms, assessed by the HADS, and albuminuria–A longitudinal population-based cohort study with repeated measures from the HUNT2 and HUNT3 Study. PLoS One 2022; 17:e0274271. [PMID: 36107876 PMCID: PMC9477298 DOI: 10.1371/journal.pone.0274271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 08/24/2022] [Indexed: 11/18/2022] Open
Abstract
Background Both albuminuria and depression are associated with cardiovascular disease, reflecting low-grade systemic inflammation and endothelial dysfunction. They share risk factors including weight, blood pressure, smoking and blood glucose levels. This longitudinal study aimed to examine bidirectional associations between depression symptoms, indexed by the Hospital Anxiety and Depression scale (HADS), and the inflammation marker albuminuria. Methods 2909 persons provided urine samples in both the second (HUNT2, 1995–97) and third wave (HUNT3, 2006–2008) of the Trøndelag Health Survey, Norway. We used a generalized linear regression model (GLM) and ANOVA to assess the association between albuminuria levels (exposure HUNT2) with depression symptoms (outcome in HUNT3); and between depression symptoms (exposure HUNT2) with albuminuria (outcome HUNT3). Depression symptoms were measured with the HADS Depression Scale, analyzed utilising the full 7 items version and analyses restricted to the first 4 items (HADS-D and HADS-4). We accounted for confounders including baseline individual levels of the exposure variables. Results In this 10-years follow-up study, we found no statistical evidence for an association between baseline depression symptoms and subsequent albuminuria, nor between baseline albuminuria and subsequent depression symptoms. For albuminuria, only 0.04% was explained by prior depression, and for depression, only 0.007% was explained by previous albuminuria levels. The results were essentially the same for the shorter HADS-4 measure. Conclusion There does not appear to be a longitudinal association between albuminuria and depression measured by the HADS.
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Affiliation(s)
- Lise Tuset Gustad
- Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Medicine, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway
- * E-mail:
| | - Anna Marie Holand
- Faculty of Education and Arts, Nord University, Levanger, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Torfinn Hynnekleiv
- Division of Mental Health, Department of Acute Psychiatry and Psychosis Treatment, Innlandet Hospital Trust, Reinsvoll, Norway
| | - Ottar Bjerkeset
- Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway
- Department of Mental Health Sciences, Faculty of Medicine and Health, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Michael Berk
- IMPACT–the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Solfrid Romundstad
- Department of Medicine, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health, NTNU, Trondheim, Norway
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3
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Moe JS, Bolstad I, Mørland JG, Bramness JG. GABA A subunit single nucleotide polymorphisms show sex-specific association to alcohol consumption and mental distress in a Norwegian population-based sample. Psychiatry Res 2022; 307:114257. [PMID: 34852975 DOI: 10.1016/j.psychres.2021.114257] [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: 05/05/2021] [Revised: 10/11/2021] [Accepted: 10/29/2021] [Indexed: 10/19/2022]
Abstract
Little is known about genetic influences on the relationship between alcohol consumption and mental distress in the general population, where the majority report consumption and distress far below diagnostic thresholds. This study investigated single nucleotide polymorphisms (SNPs) from candidate gene studies on alcohol use disorder and depressive disorders, for association with alcohol consumption and with mental distress in a population-based sample from the Cohort of Norway (n = 1978, 49% women). The relationship between alcohol consumption and mental distress was further examined for genotype modification. There was a positive correlation between mental distress and alcohol consumption in men, as well as an association between SNPs and mental distress in men (GABRG1, GABRA2, DRD2, ANKK1, MTHFR) and women (CHRM2, MTHFR) and between SNPs and alcohol consumption in women (GABRA2, MTHFR). No modification by SNP genotype was found on the relationship between alcohol consumption and mental distress. The association between mental distress and GABRG1 in men remained significant after correcting for multiple comparisons. The results indicate that alcohol consumption and mental distress are associated in the general population even at levels below clinical thresholds and point to SNPs in genes related to GABAergic signalling for level of mental distress in men.
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Affiliation(s)
- Jenny Skumsnes Moe
- Norwegian National Advisory Unit on Concurrent Substance Abuse and Mental Disorders, Innlandet Hospital Trust, Brumunddal, Norway; Institute of Clinical Medicine, UiT - The Arctic University of Norway, Tromsø, Norway.
| | - Ingeborg Bolstad
- Norwegian National Advisory Unit on Concurrent Substance Abuse and Mental Disorders, Innlandet Hospital Trust, Brumunddal, Norway; Blue Cross East, Norway
| | - Jørg Gustav Mørland
- Division of Health Data and Organization, Norwegian Institute of Public Health, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Norway
| | - Jørgen Gustav Bramness
- Norwegian National Advisory Unit on Concurrent Substance Abuse and Mental Disorders, Innlandet Hospital Trust, Brumunddal, Norway; Institute of Clinical Medicine, UiT - The Arctic University of Norway, Tromsø, Norway; Department of Alcohol, Tobacco and Drugs, Norwegian Institute of Public Health, Oslo, Norway
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4
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Cheesman R, Coleman J, Rayner C, Purves KL, Morneau-Vaillancourt G, Glanville K, Choi SW, Breen G, Eley TC. Familial Influences on Neuroticism and Education in the UK Biobank. Behav Genet 2020; 50:84-93. [PMID: 31802328 PMCID: PMC7028797 DOI: 10.1007/s10519-019-09984-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 11/20/2019] [Indexed: 01/22/2023]
Abstract
Genome-wide studies often exclude family members, even though they are a valuable source of information. We identified parent-offspring pairs, siblings and couples in the UK Biobank and implemented a family-based DNA-derived heritability method to capture additional genetic effects and multiple sources of environmental influence on neuroticism and years of education. Compared to estimates from unrelated individuals, total heritability increased from 10 to 27% and from 17 to 56% for neuroticism and education respectively by including family-based genetic effects. We detected no family environmental influences on neuroticism. The couple similarity variance component explained 35% of the variation in years of education, probably reflecting assortative mating. Overall, our genetic and environmental estimates closely replicate previous findings from an independent sample. However, more research is required to dissect contributions to the additional heritability by rare and structural genetic effects, assortative mating, and residual environmental confounding. The latter is especially relevant for years of education, a highly socially contingent variable, for which our heritability estimate is at the upper end of twin estimates in the literature. Family-based genetic effects could be harnessed to improve polygenic prediction.
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Affiliation(s)
- R Cheesman
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK.
| | - J Coleman
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK
- NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK
| | - C Rayner
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - K L Purves
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - G Morneau-Vaillancourt
- Research Unit on Child Psychosocial Maladjustment, Laval University, Quebec City, Canada
| | - K Glanville
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - S W Choi
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - G Breen
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK
- NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK
| | - T C Eley
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK.
- NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK.
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5
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Luningham JM, McArtor DB, Hendriks AM, van Beijsterveldt CEM, Lichtenstein P, Lundström S, Larsson H, Bartels M, Boomsma DI, Lubke GH. Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes. Front Genet 2020; 10:1227. [PMID: 31921287 PMCID: PMC6914843 DOI: 10.3389/fgene.2019.01227] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 11/05/2019] [Indexed: 01/03/2023] Open
Abstract
Parallel meta-analysis is a popular approach for increasing the power to detect genetic effects in genome-wide association studies across multiple cohorts. Consortia studying the genetics of behavioral phenotypes are oftentimes faced with systematic differences in phenotype measurement across cohorts, introducing heterogeneity into the meta-analysis and reducing statistical power. This study investigated integrative data analysis (IDA) as an approach for jointly modeling the phenotype across multiple datasets. We put forth a bi-factor integration model (BFIM) that provides a single common phenotype score and accounts for sources of study-specific variability in the phenotype. In order to capitalize on this modeling strategy, a phenotype reference panel was utilized as a supplemental sample with complete data on all behavioral measures. A simulation study showed that a mega-analysis of genetic variant effects in a BFIM were more powerful than meta-analysis of genetic effects on a cohort-specific sum score of items. Saving the factor scores from the BFIM and using those as the outcome in meta-analysis was also more powerful than the sum score in most simulation conditions, but a small degree of bias was introduced by this approach. The reference panel was necessary to realize these power gains. An empirical demonstration used the BFIM to harmonize aggression scores in 9-year old children across the Netherlands Twin Register and the Child and Adolescent Twin Study in Sweden, providing a template for application of the BFIM to a range of different phenotypes. A supplemental data collection in the Netherlands Twin Register served as a reference panel for phenotype modeling across both cohorts. Our results indicate that model-based harmonization for the study of complex traits is a useful step within genetic consortia.
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Affiliation(s)
- Justin M Luningham
- Department of Psychology, University of Notre Dame, Notre Dame, IN, United States
| | - Daniel B McArtor
- Department of Psychology, University of Notre Dame, Notre Dame, IN, United States
| | - Anne M Hendriks
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Faculty of Behavioural and Movement Sciences, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Catharina E M van Beijsterveldt
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Faculty of Behavioural and Movement Sciences, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Faculty of Behavioural and Movement Sciences, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Faculty of Behavioural and Movement Sciences, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, Netherlands
| | - Gitta H Lubke
- Department of Psychology, University of Notre Dame, Notre Dame, IN, United States
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6
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Cheesman R, Purves KL, Pingault JB, Breen G, Rijsdij K F, Plomin R, Eley TC. Extracting stability increases the SNP heritability of emotional problems in young people. Transl Psychiatry 2018; 8:223. [PMID: 30333497 PMCID: PMC6193004 DOI: 10.1038/s41398-018-0269-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 07/10/2018] [Accepted: 09/10/2018] [Indexed: 01/08/2023] Open
Abstract
Twin studies have shown that emotional problems (anxiety and depression) in childhood and adolescence are moderately heritable (~20-50%). In contrast, DNA-based 'SNP heritability' estimates are generally <15% and non-significant. One notable feature of emotional problems is that they can be somewhat transient, but the moderate stability seen across time and across raters is predominantly influenced by stable genetic influences. This suggests that by capturing what is in common across time and across raters, we might be more likely to tap into any underlying genetic vulnerability. We therefore hypothesised that a phenotype capturing the pervasive stability of emotional problems would show higher heritability. We fitted single-factor latent trait models using 12 emotional problems measures across ages 7, 12 and 16, rated by parents, teachers and children themselves in the Twins Early Development Study sample. Twin and SNP heritability estimates for stable emotional problems (N = 6110 pairs and 6110 unrelated individuals, respectively) were compared to those for individual measures. Twin heritability increased from 45% on average for individual measures to 76% (se = 0.023) by focusing on stable trait variance. SNP heritability rose from 5% on average (n.s.) to 14% (se = 0.049; p = 0.002). Heritability was also higher for stable within-rater composites. Polygenic scores for both adult anxiety and depression significantly explained variance in stable emotional problems (0.4%; p = 0.0001). The variance explained was more than in most individual measures. Stable emotional problems also showed significant genetic correlation with adult depression and anxiety (average = 52%). These results demonstrate the value of examining stable emotional problems in gene-finding and prediction studies.
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Affiliation(s)
- Rosa Cheesman
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Kirstin L Purves
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jean-Baptiste Pingault
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health; South London and Maudsley NHS Trust, London, SE5 8AF, UK
| | - Fruhling Rijsdij K
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Cent re, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health; South London and Maudsley NHS Trust, London, SE5 8AF, UK
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7
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Lubke GH, Miller PJ, Verhulst B, Bartels M, van Beijsterveldt T, Willemsen G, Boomsma DI, Middeldorp CM. A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18. Am J Med Genet B Neuropsychiatr Genet 2016; 171:948-57. [PMID: 26334918 PMCID: PMC4852155 DOI: 10.1002/ajmg.b.32375] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 08/19/2015] [Indexed: 11/10/2022]
Abstract
To investigate the utility of longitudinal data in genetic analyses of symptoms of anxiety and depression, we assessed individual differences between age 7 and 18 using growth mixture models, and investigated the genetic and non-genetic factors contributing to the trajectories. Mothers of 7,706 girl and 7,418 boy twins from the Netherlands Twin Register rated the anxious depression scale (SxAnxDep) of the Child Behavior Check List (CBCL) at age 7, 10, and 12 years. Two thousand seven hundred and six girl and 1,856 boy twins completed the Youth Self Report (YSR) at age 14, 16, and 18. While individual trajectories varied considerably, these differences were largely idiosyncratic and could not be grouped into separate latent classes with class-specific average growth curves. The intercept, which reflects the individuals' baseline level of SxAnxDep across time, explained 55-58% of the total phenotypic variance. The slope factor, which captures a common average trend over time, did not explain variance in the phenotype. This finding also underlines the high level of idiosyncrasy of trajectories that lack a common longitudinal structure. The analyses of twin data showed that the random intercept factor of SxAnxDep during childhood and during adolescence is considerably more heritable than the observations at any single age, namely between 60% and 84%. One explanation is that different factors contribute to the level of symptoms of anxiety and depression at any given time point, including temporary events and emotions. When considering baseline stability, these temporary influences average out, with the result of a more reliable and more heritable phenotype. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Gitta H Lubke
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana.
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands.
| | - Patrick J Miller
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana
| | - Brad Verhulst
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - Meike Bartels
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU University Amsterdam, Amsterdam, The Netherlands
- EMGO + Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | | | - Gonneke Willemsen
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
- EMGO + Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, VU University Amsterdam, Amsterdam, The Netherlands
- EMGO + Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - Christel M Middeldorp
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands.
- Neuroscience Campus Amsterdam, VU University Amsterdam, Amsterdam, The Netherlands.
- Department of Child and Adolescent Psychiatry, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands.
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Ashenhurst JR, Harden KP, Corbin WR, Fromme K. Alcohol-related genes show an enrichment of associations with a persistent externalizing factor. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:933-945. [PMID: 27505405 DOI: 10.1037/abn0000194] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Research using twins has found that much of the variability in externalizing phenotypes-including alcohol and drug use, impulsive personality traits, risky sex, and property crime-is explained by genetic factors. Nevertheless, identification of specific genes and variants associated with these traits has proven to be difficult, likely because individual differences in externalizing are explained by many genes of small individual effect. Moreover, twin research indicates that heritable variance in externalizing behaviors is mostly shared across the externalizing spectrum rather than specific to any behavior. We use a longitudinal, "deep phenotyping" approach to model a general externalizing factor reflecting persistent engagement in a variety of socially problematic behaviors measured at 11 assessment occasions spanning early adulthood (ages 18 to 28). In an ancestrally homogenous sample of non-Hispanic Whites (N = 337), we then tested for enrichment of associations between the persistent externalizing factor and a set of 3,281 polymorphisms within 104 genes that were previously identified as associated with alcohol-use behaviors. Next, we tested for enrichment among domain-specific factors (e.g., property crime) composed of residual variance not accounted for by the common factor. Significance was determined relative to bootstrapped empirical thresholds derived from permutations of phenotypic data. Results indicated significant enrichment of genetic associations for persistent externalizing, but not for domain-specific factors. Consistent with twin research findings, these results suggest that genetic variants are broadly associated with externalizing behaviors rather than unique to specific behaviors. (PsycINFO Database Record
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