2018
DOI: 10.1101/497420
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DRD2andFOXP2are implicated in the associations between computerized device use and psychiatric disorders

Abstract: The societal health effects of ubiquitous computerized device use (CDU) is mostly unknown.Epidemiological evidence supports associations between CDU and psychiatric traits, but the underlying biological mechanisms are unclear. We investigated genetic overlaps, causal relationships, and molecular pathways shared between these traits using genome-wide data regarding CDU (UK Biobank; up to N=361,194 individuals) and Psychiatric Genomics Consortium phenotypes (14,477 Show more

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Cited by 4 publications
(4 citation statements)
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“…To assess causality among MD, AD, AC-quantity, and AC-frequency, we used GWAS summary association data to conduct two-sample MR analyses (Davey Smith and Hemani, 2014; Burgess et al ., 2015). Since different MR methods have sensitivities to different potential issues, accommodate different scenarios, and vary in their statistical efficiency (Polimanti et al ., 2017, 2018; Ravera et al ., 2018; Wendt et al ., 2018), we considered multiple MR methods (online Supplemental Table S1). These include methods based on median (Bowden et al ., 2017), mean (Bowden et al ., 2016), and mode (Hartwig et al ., 2017), and various adjustments, such as fixed v .…”
Section: Methodsmentioning
confidence: 99%
“…To assess causality among MD, AD, AC-quantity, and AC-frequency, we used GWAS summary association data to conduct two-sample MR analyses (Davey Smith and Hemani, 2014; Burgess et al ., 2015). Since different MR methods have sensitivities to different potential issues, accommodate different scenarios, and vary in their statistical efficiency (Polimanti et al ., 2017, 2018; Ravera et al ., 2018; Wendt et al ., 2018), we considered multiple MR methods (online Supplemental Table S1). These include methods based on median (Bowden et al ., 2017), mean (Bowden et al ., 2016), and mode (Hartwig et al ., 2017), and various adjustments, such as fixed v .…”
Section: Methodsmentioning
confidence: 99%
“…Genetic variants are allocated at conception and do not change throughout life, and they can be used to define reliable genetic instruments that can be applied in a mendelian randomization (MR) analysis. 10,11,12,13,14 The basic principle in MR is that an instrumental variable based on genetic variants associated with a phenotype can be used to represent, or mirror, the disease risk associated with that phenotype without the presence of possible environmental confounders. 15…”
Section: Introductionmentioning
confidence: 99%
“…Large scale genome-wide association studies (GWAS) have now identified genetic variants that can be used to define reliable genetic instruments that can be applied for causal inference in a MR analysis. [14][15][16][17][18] The basic principle in MR is that genetic variants that either alter the level of, or mirror the biological effects of, a modifiable environmental exposure that itself alters disease risk should be related to disease risk to the extent predicted by their influence on exposure to the environmental risk factor. 19 Previous large-scale GWAS conducted by the Social Science Genetic Association Consortium (SSGAC) investigated traits related to educational attainment (e.g., number of years of schooling and most advanced math course ever successfully completed), identifying a number of loci and biological pathways regulating brain mechanisms at the basis of the human cognitive ability.…”
Section: Introductionmentioning
confidence: 99%