Association Between Genetic Risk for Psychiatric Disorders and the Probability of Living in Urban Settings

被引:29
|
作者
Maxwell, Jessye M. [1 ,2 ]
Coleman, Jonathan R., I [1 ,2 ]
Breen, Gerome [1 ,2 ]
Vassos, Evangelos [1 ,2 ]
机构
[1] Kings Coll London, Social Genet & Dev Psychiat Ctr, Inst Psychiat Psychol & Neurosci, Crespigny Pk, London SE5 8AF, England
[2] South London & Maudsley NHS Trust, Natl Inst Hlth Res Maudsley Biomed Res Ctr, London, England
基金
英国医学研究理事会;
关键词
FAMILY-HISTORY; SCHIZOPHRENIA; BIRTH; ENVIRONMENT; LIABILITY; DISEASES; SEASON; PLACE;
D O I
10.1001/jamapsychiatry.2021.2983
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
IMPORTANCE: Urban residence has been highlighted as an environmental risk factor for schizophrenia and, to a lesser extent, several other psychiatric disorders. However, few studies have explored genetic effects on the choice of residence. OBJECTIVE: To investigate whether individuals with genetic predisposition to a range of psychiatric disorders have an increased likelihood to live in urban areas. DESIGN, SETTING, AND PARTICIPANTS: A cross-sectional retrospective cohort study including genotypes, address history, and geographic distribution of population density in the UK based on census data from 1931-2011 was conducted. Polygenic risk score (PRS) analyses, genome-wide association studies, genetic correlation, and 2-sample mendelian randomization analyses were applied to 385 793 UK Biobank participants with self-reported or general practitioner registration-based address history. The study was conducted from February 2018 to May 2021, and data analysis was performed from April 2018 to May 2021. MAIN OUTCOMES AND MEASURES: Population density of residence at different ages and movement during the life span between urban and rural environments. RESULTS: In this cohort study of 385 793 unrelated UK Biobank participants (207 963 [54%] were women; age, 37-73 years; mean [SD], 56.7 [8] years), PRS analyses showed significant associations with higher population density across adult life (age 25 to >65 years) reaching highest significance at the 45- to 55-year age group for schizophrenia (88 people/km(2); 95% CI, 65-98 people/km(2)), bipolar disorder (44 people/km(2); 95% CI, 34-54 people/km(2)), anorexia nervosa (36 people/km(2); 95% CI, 22-50 people/km(2)), and autism spectrum disorder (35 people/km(2); 95% CI, 25-45 people/km(2)). The schizophrenia PRS was also significantly associated with higher birthplace population density (37 people/km(2); 95% CI, 19-55 people/km(2); rho = 8 x 10(-5)). Attention-deficit/hyperactivity disorder PRS was significantly associated with reduced population density in adult life (-31 people/km(2); 95% CI, -42 to -20 people/km(2) at age 35-45 years). Individuals with higher PRS for schizophrenia, bipolar disorder, anorexia nervosa, and autism spectrum disorder and lower PRS for attention-deficit/hyperactivity disorder preferentially moved from rural environments to cities (difference in PRS with Tukey pairwise comparisons for schizophrenia: 0.05; 95% CI, 0.03 to 0.60; bipolar disorder: 0.10; 95% CI, 0.08 to 0.13; anorexia nervosa: 0.05; 95% CI, 0.03 to 0.07; autism spectrum disorder: 0.04; 95% CI 0.03 to 0.06; and attention-deficit/hyperactivity disorder: -0.09, 95% CI, -0.12 to -0.06). Genetic correlation results were largely consistent with PRS analyses, whereas mendelian randomization provided support for associations between schizophrenia and bipolar disorder and living in high population-density areas. CONCLUSIONS AND RELEVANCE: These findings suggest that a high genetic risk for a variety of psychiatric disorders may affect an individual's choice of residence. This result supports the hypothesis of genetic selection of an individual's environment, which intersects the traditional gene-environment dichotomy.
引用
收藏
页码:1355 / 1364
页数:10
相关论文
共 50 条
  • [31] Psychiatric disorders and left-handedness in children living in an urban environment
    Logue, Dora Due
    Logue, Richard T.
    Kaufmann, Walter E.
    Belcher, Harolyn M. E.
    LATERALITY, 2015, 20 (02): : 249 - 256
  • [32] The contribution of alternative splicing to genetic risk for psychiatric disorders
    Reble, E.
    Dineen, A.
    Barr, C. L.
    GENES BRAIN AND BEHAVIOR, 2018, 17 (03)
  • [33] The investigation of the relationship between probability of suicide and reasons for living in psychiatric inpatients
    Eskiyurt, Reyhan
    Ozkan, Birgul
    INDIAN JOURNAL OF PSYCHIATRY, 2017, 59 (04) : 435 - 441
  • [34] MOLECULE-BASED GENETIC ASSOCIATION STUDIES ON PSYCHIATRIC DISORDERS
    Li, Wen
    Wang, Yunpeng
    Fan, Chun Chieh
    Maki-Marttunen, Tuomo
    Thompson, Wesley
    Schork, Andrew
    Bettella, Francesco
    Djurovic, Srdjan
    Andreassen, Ole
    Dale, Anders
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2017, 27 : S462 - S462
  • [35] Exploring the genetic overlap between twelve psychiatric disorders
    Romero, Cato
    Werme, Josefin
    Jansen, Philip R.
    Gelernter, Joel
    Stein, Murray B.
    Levey, Daniel
    Polimanti, Renato
    de Leeuw, Christiaan
    Posthuma, Danielle
    Nagel, Mats
    Van der Sluis, Sophie
    NATURE GENETICS, 2022, 54 (12) : 1795 - 1802
  • [36] Exploring the genetic overlap between twelve psychiatric disorders
    Cato Romero
    Josefin Werme
    Philip R. Jansen
    Joel Gelernter
    Murray B. Stein
    Daniel Levey
    Renato Polimanti
    Christiaan de Leeuw
    Danielle Posthuma
    Mats Nagel
    Sophie van der Sluis
    Nature Genetics, 2022, 54 : 1795 - 1802
  • [37] Association between infection with Toxoplasma gondii and psychiatric disorders
    Maisarah, Alia
    Mohamad, Suharni
    Husain, Maruzairi
    Abdullah, Sarimah
    Noordin, Rahmah
    FOLIA PARASITOLOGICA, 2022, 69
  • [38] Editorial: Exploring the association between metabolism and psychiatric disorders
    Atti, Anna-Rita
    FRONTIERS IN PSYCHIATRY, 2024, 15
  • [39] Association between Psychiatric Disorders and Menstrual Cycle Characteristics
    Shashikala, I. M.
    Poonam, M.
    Singh, Arushi
    INDIAN JOURNAL OF PSYCHIATRY, 2023, 65 : S107 - S107
  • [40] Association between Psychiatric Disorders and Menstrual Cycle Characteristics
    Shashikala, I. M.
    Poonam, M.
    Singh, Arushi
    INDIAN JOURNAL OF PSYCHIATRY, 2023, 65 : S107 - S107