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Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders
Computerized device use (CDU) is societally ubiquitous but its effects on mental health are unknown. We performed genetic correlation, Mendelian randomization, and latent causal variable analyses to identify shared genetic mechanisms between psychiatric disorders (Psychiatric Genomics Consortium; 14...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947231/ https://www.ncbi.nlm.nih.gov/pubmed/31766499 http://dx.doi.org/10.3390/jcm8122040 |
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author | Wendt, Frank R Muniz Carvalho, Carolina Pathak, Gita A. Gelernter, Joel Polimanti, Renato |
author_facet | Wendt, Frank R Muniz Carvalho, Carolina Pathak, Gita A. Gelernter, Joel Polimanti, Renato |
author_sort | Wendt, Frank R |
collection | PubMed |
description | Computerized device use (CDU) is societally ubiquitous but its effects on mental health are unknown. We performed genetic correlation, Mendelian randomization, and latent causal variable analyses to identify shared genetic mechanisms between psychiatric disorders (Psychiatric Genomics Consortium; 14,477 < N < 150,064) and CDU (UK Biobank; N = 361,194 individuals). Using linkage disequilibrium score regression, we detected strong genetic correlations between “weekly usage of mobile phone in last 3 months” (PhoneUse) vs. attention deficit hyperactivity disorder (ADHD; r(g) = 0.425, p = 4.59 × 10(−29)) and “plays computer games” (CompGaming) vs. schizophrenia (SCZ; r(g) = −0.271, p = 7.16 × 10(−26)). Focusing on these correlations, we used two sample MRs to detect the causal relationships between trait pairs by treating single nucleotide polymorphisms as non-modifiable risk factors underlying both phenotypes. Significant bidirectional associations were detected (PhoneUse→ADHD β = 0.132, p = 1.89 × 10(−4) and ADHD→PhoneUse β = 0.084, p = 2.86 × 10(−10); CompGaming→SCZ β = −0.02, p = 6.46 × 10(−25) and CompGaming→SCZ β = −0.194, p = 0.005) and the latent causal variable analyses did not support a causal relationship independent of the genetic correlations between these traits. This suggests that molecular pathways contribute to the genetic overlap between these traits. Dopamine transport enrichment (Gene Ontology:0015872, p(SCZvsCompGaming) = 2.74 × 10(−10)) and DRD2 association (p(SCZ) = 7.94 × 10(−8); p(CompGaming) = 3.98 × 10(−25)) were detected in SCZ and CompGaming and support their negative correlative relationship. FOXP2 was significantly associated with ADHD (p = 9.32 × 10(−7)) and PhoneUse (p = 9.00 × 10(−11)) with effect directions concordant with their positive genetic correlation. Our study demonstrates that epidemiological associations between psychiatric disorders and CDUs are due, in part, to the molecular mechanisms shared between them rather than a causal relationship. Our findings imply that biological mechanisms underlying CDU contribute to the psychiatric phenotype manifestation. |
format | Online Article Text |
id | pubmed-6947231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69472312020-01-13 Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders Wendt, Frank R Muniz Carvalho, Carolina Pathak, Gita A. Gelernter, Joel Polimanti, Renato J Clin Med Article Computerized device use (CDU) is societally ubiquitous but its effects on mental health are unknown. We performed genetic correlation, Mendelian randomization, and latent causal variable analyses to identify shared genetic mechanisms between psychiatric disorders (Psychiatric Genomics Consortium; 14,477 < N < 150,064) and CDU (UK Biobank; N = 361,194 individuals). Using linkage disequilibrium score regression, we detected strong genetic correlations between “weekly usage of mobile phone in last 3 months” (PhoneUse) vs. attention deficit hyperactivity disorder (ADHD; r(g) = 0.425, p = 4.59 × 10(−29)) and “plays computer games” (CompGaming) vs. schizophrenia (SCZ; r(g) = −0.271, p = 7.16 × 10(−26)). Focusing on these correlations, we used two sample MRs to detect the causal relationships between trait pairs by treating single nucleotide polymorphisms as non-modifiable risk factors underlying both phenotypes. Significant bidirectional associations were detected (PhoneUse→ADHD β = 0.132, p = 1.89 × 10(−4) and ADHD→PhoneUse β = 0.084, p = 2.86 × 10(−10); CompGaming→SCZ β = −0.02, p = 6.46 × 10(−25) and CompGaming→SCZ β = −0.194, p = 0.005) and the latent causal variable analyses did not support a causal relationship independent of the genetic correlations between these traits. This suggests that molecular pathways contribute to the genetic overlap between these traits. Dopamine transport enrichment (Gene Ontology:0015872, p(SCZvsCompGaming) = 2.74 × 10(−10)) and DRD2 association (p(SCZ) = 7.94 × 10(−8); p(CompGaming) = 3.98 × 10(−25)) were detected in SCZ and CompGaming and support their negative correlative relationship. FOXP2 was significantly associated with ADHD (p = 9.32 × 10(−7)) and PhoneUse (p = 9.00 × 10(−11)) with effect directions concordant with their positive genetic correlation. Our study demonstrates that epidemiological associations between psychiatric disorders and CDUs are due, in part, to the molecular mechanisms shared between them rather than a causal relationship. Our findings imply that biological mechanisms underlying CDU contribute to the psychiatric phenotype manifestation. MDPI 2019-11-21 /pmc/articles/PMC6947231/ /pubmed/31766499 http://dx.doi.org/10.3390/jcm8122040 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wendt, Frank R Muniz Carvalho, Carolina Pathak, Gita A. Gelernter, Joel Polimanti, Renato Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders |
title | Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders |
title_full | Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders |
title_fullStr | Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders |
title_full_unstemmed | Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders |
title_short | Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders |
title_sort | deciphering the biological mechanisms underlying the genome-wide associations between computerized device use and psychiatric disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947231/ https://www.ncbi.nlm.nih.gov/pubmed/31766499 http://dx.doi.org/10.3390/jcm8122040 |
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