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Bogdan R, Baranger DAA, Agrawal A. Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. Annu Rev Clin Psychol 2018; 14:119-157. [PMID: 29579395 PMCID: PMC7772939 DOI: 10.1146/annurev-clinpsy-050817-084847] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Genomewide association studies (GWASs) across psychiatric phenotypes have shown that common genetic variants generally confer risk with small effect sizes (odds ratio < 1.1) that additively contribute to polygenic risk. Summary statistics derived from large discovery GWASs can be used to generate polygenic risk scores (PRS) in independent, target data sets to examine correlates of polygenic disorder liability (e.g., does genetic liability to schizophrenia predict cognition?). The intuitive appeal and generalizability of PRS have led to their widespread use and new insights into mechanisms of polygenic liability. However, when currently applied across traits they account for small amounts of variance (<3%), are relatively uninformative for clinical treatment, and, in isolation, provide no insight into molecular mechanisms. Larger GWASs are needed to increase the precision of PRS, and novel approaches integrating various data sources (e.g., multitrait analysis of GWASs) may improve the utility of current PRS.
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Affiliation(s)
- Ryan Bogdan
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - David A A Baranger
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri 63110, USA
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Abdellaoui A, Nivard MG, Hottenga JJ, Fedko I, Verweij KJH, Baselmans BML, Ehli EA, Davies GE, Bartels M, Boomsma DI, Cacioppo JT. Predicting loneliness with polygenic scores of social, psychological and psychiatric traits. GENES BRAIN AND BEHAVIOR 2018; 17:e12472. [PMID: 29573219 DOI: 10.1111/gbb.12472] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 01/31/2018] [Accepted: 03/08/2018] [Indexed: 12/14/2022]
Abstract
Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.
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Affiliation(s)
- A Abdellaoui
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - M G Nivard
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - J-J Hottenga
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - I Fedko
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - K J H Verweij
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - B M L Baselmans
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - E A Ehli
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - G E Davies
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - M Bartels
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - J T Cacioppo
- Department of Psychology, University of Chicago, Chicago, Illinois
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Sanchez-Roige S, Gray JC, MacKillop JK, Chen CH, Palmer AA. The genetics of human personality. GENES, BRAIN, AND BEHAVIOR 2018; 17:e12439. [PMID: 29152902 PMCID: PMC7012279 DOI: 10.1111/gbb.12439] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 10/12/2017] [Accepted: 11/07/2017] [Indexed: 12/13/2022]
Abstract
Personality traits are the relatively enduring patterns of thoughts, feelings and behaviors that reflect the tendency to respond in certain ways under certain circumstances. Twin and family studies have showed that personality traits are moderately heritable, and can predict various lifetime outcomes, including psychopathology. The Research Domain Criteria characterizes psychiatric diseases as extremes of normal tendencies, including specific personality traits. This implies that heritable variation in personality traits, such as neuroticism, would share a common genetic basis with psychiatric diseases, such as major depressive disorder. Despite considerable efforts over the past several decades, the genetic variants that influence personality are only beginning to be identified. We review these recent and increasingly rapid developments, which focus on the assessment of personality via several commonly used personality questionnaires in healthy human subjects. Study designs covered include twin, linkage, candidate gene association studies, genome-wide association studies and polygenic analyses. Findings from genetic studies of personality have furthered our understanding about the genetic etiology of personality, which, like neuropsychiatric diseases themselves, is highly polygenic. Polygenic analyses have showed genetic correlations between personality and psychopathology, confirming that genetic studies of personality can help to elucidate the etiology of several neuropsychiatric diseases.
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Affiliation(s)
- Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Joshua C Gray
- Center for Deployment Psychology, Uniformed Services University, Bethesda, MD, 20814
| | - James K MacKillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada; Homewood Research Institute, Guelph, ON N1E 6K9, Canada
| | - Chi-Hua Chen
- Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
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54
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The Biological Contributions to Gender Identity and Gender Diversity: Bringing Data to the Table. Behav Genet 2018; 48:95-108. [DOI: 10.1007/s10519-018-9889-z] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Accepted: 02/05/2018] [Indexed: 01/13/2023]
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55
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Cacioppo JT, Cacioppo S. Loneliness in the Modern Age: An Evolutionary Theory of Loneliness (ETL). ADVANCES IN EXPERIMENTAL SOCIAL PSYCHOLOGY 2018. [DOI: 10.1016/bs.aesp.2018.03.003] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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56
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Cacioppo JT, Chen HY, Cacioppo S. Reciprocal Influences Between Loneliness and Self-Centeredness: A Cross-Lagged Panel Analysis in a Population-Based Sample of African American, Hispanic, and Caucasian Adults. PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN 2017; 43:1125-1135. [PMID: 28903715 DOI: 10.1177/0146167217705120] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Loneliness has been posited to increase the motivation to repair or replace deficient social relationships and, seemingly paradoxically, to increase the implicit motivation for self-preservation. In the current research, we report a cross-lagged panel analysis of 10 waves of longitudinal data ( N = 229) on loneliness and self-centeredness (as gauged by Feeney and Collins's measure of chronic self-focus) in a representative sample of middle-aged and older adults. As predicted by the proposition that loneliness increases the implicit motivation for self-preservation, loneliness in the current year predicts self-centeredness in the subsequent year beyond what is explained by current-year demographic variables, self-centeredness, depressive symptomatology, and overall negative mood. Analyses also show that self-centeredness in the current year (net covariates) predicts loneliness in the subsequent year, a reciprocal relationship that could potentially contribute to the maintenance of loneliness. Theoretical and practical implications are discussed.
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Pencheon E. One is the loneliest number: insight into a silent epidemic. Perspect Public Health 2017; 137:156-157. [PMID: 28447552 DOI: 10.1177/1757913917700834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Wong NML, Yeung PPS, Lee TMC. A developmental social neuroscience model for understanding loneliness in adolescence. Soc Neurosci 2016; 13:94-103. [PMID: 27820680 DOI: 10.1080/17470919.2016.1256832] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Loneliness is prevalent in adolescents. Although it can be a normative experience, children and adolescents who experience loneliness are often at risk for anxiety, depression, and suicide. Research efforts have been made to identify the neurobiological basis of such distressful feelings in our social brain. In adolescents, the social brain is still undergoing significant development, which may contribute to their increased and differential sensitivity to the social environment. Many behavioral studies have shown the significance of attachment security and social skills in adolescents' interactions with the social world. In this review, we propose a developmental social neuroscience model that extends from the social neuroscience model of loneliness. In particular, we argue that the social brain and social skills are both important for the development of adolescents' perceived loneliness and that adolescents' familial attachment sets the baseline for neurobiological development. By reviewing the related behavioral and neuroimaging literature, we propose a developmental social neuroscience model to explain the heightened perception of loneliness in adolescents using social skills and attachment style as neurobiological moderators. We encourage future researchers to investigate adolescents' perceived social connectedness from the developmental neuroscience perspective.
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Affiliation(s)
- Nichol M L Wong
- a Laboratory of Neuropsychology , The University of Hong Kong , Hong Kong , China.,b Laboratory of Social Cognitive Affective Neuroscience , The University of Hong Kong , Hong Kong , China.,c Institute of Clinical Neuropsychology , The University of Hong Kong , Hong Kong , China
| | - Patcy P S Yeung
- d Faculty of Education , The University of Hong Kong , Hong Kong , China
| | - Tatia M C Lee
- a Laboratory of Neuropsychology , The University of Hong Kong , Hong Kong , China.,b Laboratory of Social Cognitive Affective Neuroscience , The University of Hong Kong , Hong Kong , China.,c Institute of Clinical Neuropsychology , The University of Hong Kong , Hong Kong , China.,e The State Key Laboratory of Brain and Cognitive Sciences , The University of Hong Kong , Hong Kong , China
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