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

Author

Maxwell JM, Coleman JRI, Breen G, and Vassos E

Subjects
Adult, Aged, Cross-Sectional Studies, Databases, Genetic, Female, Genome-Wide Association Study, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Multifactorial Inheritance, Retrospective Studies, Risk, United Kingdom epidemiology, Genetic Predisposition to Disease genetics, Mental Disorders epidemiology, Mental Disorders genetics, Neighborhood Characteristics statistics & numerical data, Urban Population statistics & numerical data
Abstract

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/km2; 95% CI, 65-98 people/km2), bipolar disorder (44 people/km2; 95% CI, 34-54 people/km2), anorexia nervosa (36 people/km2; 95% CI, 22-50 people/km2), and autism spectrum disorder (35 people/km2; 95% CI, 25-45 people/km2). The schizophrenia PRS was also significantly associated with higher birthplace population density (37 people/km2; 95% CI, 19-55 people/km2; P = 8 × 10-5). Attention-deficit/hyperactivity disorder PRS was significantly associated with reduced population density in adult life (-31 people/km2; 95% CI, -42 to -20 people/km2 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.

Published
2021
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2. Imputed gene expression risk scores: a functionally informed component of polygenic risk.

Author

Pain O, Glanville KP, Hagenaars S, Selzam S, Fürtjes A, Coleman JRI, Rimfeld K, Breen G, Folkersen L, and Lewis CM

Subjects
Algorithms, Genotype, Humans, Models, Genetic, Organ Specificity genetics, Phenotype, Reproducibility of Results, Risk Factors, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide, Quantitative Trait Loci genetics, Transcriptome genetics
Abstract

Integration of functional genomic annotations when estimating polygenic risk scores (PRS) can provide insight into aetiology and improve risk prediction. This study explores the predictive utility of gene expression risk scores (GeRS), calculated using imputed gene expression and transcriptome-wide association study (TWAS) results. The predictive utility of GeRS was evaluated using 12 neuropsychiatric and anthropometric outcomes measured in two target samples: UK Biobank and the Twins Early Development Study. GeRS were calculated based on imputed gene expression levels and TWAS results, using 53 gene expression-genotype panels, termed single nucleotide polymorphism (SNP)-weight sets, capturing expression across a range of tissues. We compare the predictive utility of elastic net models containing GeRS within and across SNP-weight sets, and models containing both GeRS and PRS. We estimate the proportion of SNP-based heritability attributable to cis-regulated gene expression. GeRS significantly predicted a range of outcomes, with elastic net models combining GeRS across SNP-weight sets improving prediction. GeRS were less predictive than PRS, but models combining GeRS and PRS improved prediction for several outcomes, with relative improvements ranging from 0.3% for height (P = 0.023) to 4% for rheumatoid arthritis (P = 5.9 × 10-8). The proportion of SNP-based heritability attributable to cis-regulated expression was modest for most outcomes, even when restricting GeRS to colocalized genes. GeRS represent a component of PRS and could be useful for functional stratification of genetic risk. Only in specific circumstances can GeRS substantially improve prediction over PRS alone. Future research considering functional genomic annotations when estimating genetic risk is warranted., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Published
2021
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3. A major role for common genetic variation in anxiety disorders.

Author

Purves KL, Coleman JRI, Meier SM, Rayner C, Davis KAS, Cheesman R, Bækvad-Hansen M, Børglum AD, Wan Cho S, Jürgen Deckert J, Gaspar HA, Bybjerg-Grauholm J, Hettema JM, Hotopf M, Hougaard D, Hübel C, Kan C, McIntosh AM, Mors O, Bo Mortensen P, Nordentoft M, Werge T, Nicodemus KK, Mattheisen M, Breen G, and Eley TC

Subjects
Anxiety Disorders genetics, Genetic Variation genetics, Humans, Neuroticism, Polymorphism, Single Nucleotide genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study
Abstract

Anxiety disorders are common, complex psychiatric disorders with twin heritabilities of 30-60%. We conducted a genome-wide association study of Lifetime Anxiety Disorder (n case  = 25 453, n control  = 58 113) and an additional analysis of Current Anxiety Symptoms (n case  = 19 012, n control  = 58 113). The liability scale common variant heritability estimate for Lifetime Anxiety Disorder was 26%, and for Current Anxiety Symptoms was 31%. Five novel genome-wide significant loci were identified including an intergenic region on chromosome 9 that has previously been associated with neuroticism, and a locus overlapping the BDNF receptor gene, NTRK2. Anxiety showed significant positive genetic correlations with depression and insomnia as well as coronary artery disease, mirroring findings from epidemiological studies. We conclude that common genetic variation accounts for a substantive proportion of the genetic architecture underlying anxiety.

Published
2020
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4. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

Author

Bakker MK, van der Spek RAA, van Rheenen W, Morel S, Bourcier R, Hostettler IC, Alg VS, van Eijk KR, Koido M, Akiyama M, Terao C, Matsuda K, Walters RG, Lin K, Li L, Millwood IY, Chen Z, Rouleau GA, Zhou S, Rannikmäe K, Sudlow CLM, Houlden H, van den Berg LH, Dina C, Naggara O, Gentric JC, Shotar E, Eugène F, Desal H, Winsvold BS, Børte S, Johnsen MB, Brumpton BM, Sandvei MS, Willer CJ, Hveem K, Zwart JA, Verschuren WMM, Friedrich CM, Hirsch S, Schilling S, Dauvillier J, Martin O, Jones GT, Bown MJ, Ko NU, Kim H, Coleman JRI, Breen G, Zaroff JG, Klijn CJM, Malik R, Dichgans M, Sargurupremraj M, Tatlisumak T, Amouyel P, Debette S, Rinkel GJE, Worrall BB, Pera J, Slowik A, Gaál-Paavola EI, Niemelä M, Jääskeläinen JE, von Und Zu Fraunberg M, Lindgren A, Broderick JP, Werring DJ, Woo D, Redon R, Bijlenga P, Kamatani Y, Veldink JH, and Ruigrok YM

Subjects
Asian People genetics, Blood Pressure genetics, Case-Control Studies, Endothelial Cells pathology, Genome-Wide Association Study, Humans, Hypertension physiopathology, Intracranial Aneurysm pathology, Polymorphism, Single Nucleotide genetics, Risk Factors, Smoking adverse effects, White People genetics, Genetic Predisposition to Disease genetics, Hypertension genetics, Intracranial Aneurysm genetics, Smoking genetics, Subarachnoid Hemorrhage genetics, Subarachnoid Hemorrhage pathology
Abstract

Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.

Published
2020
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5. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank.

Author

Coleman JRI, Peyrot WJ, Purves KL, Davis KAS, Rayner C, Choi SW, Hübel C, Gaspar HA, Kan C, Van der Auwera S, Adams MJ, Lyall DM, Choi KW, Dunn EC, Vassos E, Danese A, Maughan B, Grabe HJ, Lewis CM, O'Reilly PF, McIntosh AM, Smith DJ, Wray NR, Hotopf M, Eley TC, and Breen G

Subjects
Adult, Aged, Female, Humans, Male, Middle Aged, United Kingdom epidemiology, Waist Circumference, Databases, Factual, Depressive Disorder, Major epidemiology, Depressive Disorder, Major genetics, Gene-Environment Interaction, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Psychological Trauma epidemiology, Self Report
Abstract

Depression is more frequent among individuals exposed to traumatic events. Both trauma exposure and depression are heritable. However, the relationship between these traits, including the role of genetic risk factors, is complex and poorly understood. When modelling trauma exposure as an environmental influence on depression, both gene-environment correlations and gene-environment interactions have been observed. The UK Biobank concurrently assessed Major Depressive Disorder (MDD) and self-reported lifetime exposure to traumatic events in 126,522 genotyped individuals of European ancestry. We contrasted genetic influences on MDD stratified by reported trauma exposure (final sample size range: 24,094-92,957). The SNP-based heritability of MDD with reported trauma exposure (24%) was greater than MDD without reported trauma exposure (12%). Simulations showed that this is not confounded by the strong, positive genetic correlation observed between MDD and reported trauma exposure. We also observed that the genetic correlation between MDD and waist circumference was only significant in individuals reporting trauma exposure (r g  = 0.24, p = 1.8 × 10 -7 versus r g  = -0.05, p = 0.39 in individuals not reporting trauma exposure, difference p = 2.3 × 10 -4 ). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.

Published
2020
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6. International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci.

Author

Nievergelt CM, Maihofer AX, Klengel T, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Dalvie S, Duncan LE, Gelernter J, Levey DF, Logue MW, Polimanti R, Provost AC, Ratanatharathorn A, Stein MB, Torres K, Aiello AE, Almli LM, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegovic E, Babić D, Bækvad-Hansen M, Baker DG, Beckham JC, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Børglum AD, Bradley B, Brashear M, Breen G, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Calabrese JR, Caldas-de-Almeida JM, Dale AM, Daly MJ, Daskalakis NP, Deckert J, Delahanty DL, Dennis MF, Disner SG, Domschke K, Dzubur-Kulenovic A, Erbes CR, Evans A, Farrer LA, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Geuze E, Gillespie C, Uka AG, Gordon SD, Guffanti G, Hammamieh R, Harnal S, Hauser MA, Heath AC, Hemmings SMJ, Hougaard DM, Jakovljevic M, Jett M, Johnson EO, Jones I, Jovanovic T, Qin XJ, Junglen AG, Karstoft KI, Kaufman ML, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kranzler HR, Kremen WS, Lawford BR, Lebois LAM, Lewis CE, Linnstaedt SD, Lori A, Lugonja B, Luykx JJ, Lyons MJ, Maples-Keller J, Marmar C, Martin AR, Martin NG, Maurer D, Mavissakalian MR, McFarlane A, McGlinchey RE, McLaughlin KA, McLean SA, McLeay S, Mehta D, Milberg WP, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Neale BM, Nelson EC, Nordentoft M, Norman SB, O'Donnell M, Orcutt HK, Panizzon MS, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Rice JP, Ripke S, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero K, Rung A, Rutten BPF, Saccone NL, Sanchez SE, Schijven D, Seedat S, Seligowski AV, Seng JS, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Trapido E, Uddin M, Ursano RJ, van den Heuvel LL, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Werge T, Williams MA, Williamson DE, Winternitz S, Wolf C, Wolf EJ, Wolff JD, Yehuda R, Young RM, Young KA, Zhao H, Zoellner LA, Liberzon I, Ressler KJ, Haas M, and Koenen KC

Subjects
Black People genetics, Datasets as Topic, Female, Genome-Wide Association Study, Humans, Male, Sex Factors, Veterans statistics & numerical data, White People genetics, Genetic Loci, Genetic Predisposition to Disease, Stress Disorders, Post-Traumatic genetics, Ubiquitin-Protein Ligases genetics
Abstract

The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5-20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson's disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and expanding GWAS beyond European ancestry populations.

Published
2019
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7. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa.

Author

Watson HJ, Yilmaz Z, Thornton LM, Hübel C, Coleman JRI, Gaspar HA, Bryois J, Hinney A, Leppä VM, Mattheisen M, Medland SE, Ripke S, Yao S, Giusti-Rodríguez P, Hanscombe KB, Purves KL, Adan RAH, Alfredsson L, Ando T, Andreassen OA, Baker JH, Berrettini WH, Boehm I, Boni C, Perica VB, Buehren K, Burghardt R, Cassina M, Cichon S, Clementi M, Cone RD, Courtet P, Crow S, Crowley JJ, Danner UN, Davis OSP, de Zwaan M, Dedoussis G, Degortes D, DeSocio JE, Dick DM, Dikeos D, Dina C, Dmitrzak-Weglarz M, Docampo E, Duncan LE, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Farmer A, Favaro A, Fernández-Aranda F, Fichter MM, Fischer K, Föcker M, Foretova L, Forstner AJ, Forzan M, Franklin CS, Gallinger S, Giegling I, Giuranna J, Gonidakis F, Gorwood P, Mayora MG, Guillaume S, Guo Y, Hakonarson H, Hatzikotoulas K, Hauser J, Hebebrand J, Helder SG, Herms S, Herpertz-Dahlmann B, Herzog W, Huckins LM, Hudson JI, Imgart H, Inoko H, Janout V, Jiménez-Murcia S, Julià A, Kalsi G, Kaminská D, Kaprio J, Karhunen L, Karwautz A, Kas MJH, Kennedy JL, Keski-Rahkonen A, Kiezebrink K, Kim YR, Klareskog L, Klump KL, Knudsen GPS, La Via MC, Le Hellard S, Levitan RD, Li D, Lilenfeld L, Lin BD, Lissowska J, Luykx J, Magistretti PJ, Maj M, Mannik K, Marsal S, Marshall CR, Mattingsdal M, McDevitt S, McGuffin P, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Monteleone AM, Monteleone P, Munn-Chernoff MA, Nacmias B, Navratilova M, Ntalla I, O'Toole JK, Ophoff RA, Padyukov L, Palotie A, Pantel J, Papezova H, Pinto D, Rabionet R, Raevuori A, Ramoz N, Reichborn-Kjennerud T, Ricca V, Ripatti S, Ritschel F, Roberts M, Rotondo A, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer SW, Schmidt U, Schork NJ, Schosser A, Seitz J, Slachtova L, Slagboom PE, Slof-Op 't Landt MCT, Slopien A, Sorbi S, Świątkowska B, Szatkiewicz JP, Tachmazidou I, Tenconi E, Tortorella A, Tozzi F, Treasure J, Tsitsika A, Tyszkiewicz-Nwafor M, Tziouvas K, van Elburg AA, van Furth EF, Wagner G, Walton E, Widen E, Zeggini E, Zerwas S, Zipfel S, Bergen AW, Boden JM, Brandt H, Crawford S, Halmi KA, Horwood LJ, Johnson C, Kaplan AS, Kaye WH, Mitchell JE, Olsen CM, Pearson JF, Pedersen NL, Strober M, Werge T, Whiteman DC, Woodside DB, Stuber GD, Gordon S, Grove J, Henders AK, Juréus A, Kirk KM, Larsen JT, Parker R, Petersen L, Jordan J, Kennedy M, Montgomery GW, Wade TD, Birgegård A, Lichtenstein P, Norring C, Landén M, Martin NG, Mortensen PB, Sullivan PF, Breen G, and Bulik CM

Subjects
Adult, Anorexia Nervosa genetics, Anorexia Nervosa pathology, Body Mass Index, Case-Control Studies, Female, Humans, Male, Mental Disorders genetics, Metabolic Diseases genetics, Phenotype, Prognosis, Anorexia Nervosa etiology, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics methods, Mental Disorders complications, Metabolic Diseases complications, Quantitative Trait Loci
Abstract

Characterized primarily by a low body-mass index, anorexia nervosa is a complex and serious illness 1 , affecting 0.9-4% of women and 0.3% of men 2-4 , with twin-based heritability estimates of 50-60% 5 . Mortality rates are higher than those in other psychiatric disorders 6 , and outcomes are unacceptably poor 7 . Here we combine data from the Anorexia Nervosa Genetics Initiative (ANGI) 8,9 and the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED) and conduct a genome-wide association study of 16,992 cases of anorexia nervosa and 55,525 controls, identifying eight significant loci. The genetic architecture of anorexia nervosa mirrors its clinical presentation, showing significant genetic correlations with psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits, independent of the effects of common variants associated with body-mass index. These results further encourage a reconceptualization of anorexia nervosa as a metabo-psychiatric disorder. Elucidating the metabolic component is a critical direction for future research, and paying attention to both psychiatric and metabolic components may be key to improving outcomes.

Published
2019
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8. A polygenic p factor for major psychiatric disorders.

Author

Selzam S, Coleman JRI, Caspi A, Moffitt TE, and Plomin R

Subjects
Cohort Studies, Humans, Multifactorial Inheritance, Principal Component Analysis, Twins, Genetic Predisposition to Disease, Mental Disorders genetics
Abstract

It has recently been proposed that a single dimension, called the p factor, can capture a person's liability to mental disorder. Relevant to the p hypothesis, recent genetic research has found surprisingly high genetic correlations between pairs of psychiatric disorders. Here, for the first time, we compare genetic correlations from different methods and examine their support for a genetic p factor. We tested the hypothesis of a genetic p factor by applying principal component analysis to matrices of genetic correlations between major psychiatric disorders estimated by three methods-family study, genome-wide complex trait analysis, and linkage-disequilibrium score regression-and on a matrix of polygenic score correlations constructed for each individual in a UK-representative sample of 7 026 unrelated individuals. All disorders loaded positively on a first unrotated principal component, which accounted for 57, 43, 35, and 22% of the variance respectively for the four methods. Our results showed that all four methods provided strong support for a genetic p factor that represents the pinnacle of the hierarchical genetic architecture of psychopathology.

Published
2018
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9. Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways.

Author

Howard DM, Adams MJ, Shirali M, Clarke TK, Marioni RE, Davies G, Coleman JRI, Alloza C, Shen X, Barbu MC, Wigmore EM, Gibson J, Hagenaars SP, Lewis CM, Ward J, Smith DJ, Sullivan PF, Haley CS, Breen G, Deary IJ, and McIntosh AM

Subjects
Biological Specimen Banks, Biomarkers metabolism, Cohort Studies, Depression metabolism, Depression physiopathology, Depressive Disorder, Major metabolism, Depressive Disorder, Major physiopathology, Gene Expression Regulation, Genetic Loci, Genome-Wide Association Study, Humans, International Classification of Diseases, Linkage Disequilibrium, Mechanotransduction, Cellular genetics, Nerve Tissue Proteins metabolism, Synapses genetics, United Kingdom, Depression genetics, Depressive Disorder, Major genetics, Genetic Predisposition to Disease, Nerve Tissue Proteins genetics, Phenotype, Synaptic Transmission genetics
Abstract

Depression is a polygenic trait that causes extensive periods of disability. Previous genetic studies have identified common risk variants which have progressively increased in number with increasing sample sizes of the respective studies. Here, we conduct a genome-wide association study in 322,580 UK Biobank participants for three depression-related phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. We identify 17 independent loci that are significantly associated (P < 5 × 10 -8 ) across the three phenotypes. The direction of effect of these loci is consistently replicated in an independent sample, with 14 loci likely representing novel findings. Gene sets are enriched in excitatory neurotransmission, mechanosensory behaviour, post synapse, neuron spine and dendrite functions. Our findings suggest that broad depression is the most tractable UK Biobank phenotype for discovering genes and gene sets that further our understanding of the biological pathways underlying depression.

Published
2018
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10. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

Author

Glanville, Kylie P, Coleman, Jonathan R I, Binder, Elisabeth B, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Blackwood, Douglas H R, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Boomsma, Dorret I, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Buttenschøn, Henriette N, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Colodro-Conde, Lucía, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Dannlowski, Udo, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Direk, Nese, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Dunn, Erin C, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Forstner, Andreas J, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, de Geus, Eco J C, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Hanscombe, Ken B, Grabe, Hans J, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Cichon, Sven, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Hamilton, Steven P, Esko, Tõnu, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela Af, Magnusson, Patrik K, Martin, Nicholas G, McIntosh, Andrew M, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Euesden, Jack, Choi, Shing Wan, Ripke, Stephan, Purves, Kirstin L, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Wray, Naomi R, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till F M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Bryois, Julien, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Dolan, Conor V, Eley, Thalia C, Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K, Foo, Jerome C, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Adult Psychiatry, APH - Mental Health, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Hassan Kiadeh, F.F., Finucane, H.K., Foo, J.C., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, E., DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, P.A., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., Sullivan, P.F., Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Methodology, Functional Genomics, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Epidemiology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Internal Medicine, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), and Perceptual and Cognitive Neuroscience (PCN)

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Major histocompatibility complex, LOCI, Complement, Autoimmune disorder, Genome-wide association study, Human leukocyte antigen, Genetic association, Major depressive disorder, Article, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, HLA Antigens, Genetic predisposition, IMPUTATION, Humans, ANXIETY, Genetic Predisposition to Disease, ddc:610, GENOME-WIDE ASSOCIATION, AUTOIMMUNE-DISEASE, Biological Psychiatry, Alleles, Complement component 4, Depressive Disorder, Major, Major histoconnpatibility complex, COMPLEX, biology, Depression, Haplotype, Odds ratio, ddc, 3. Good health, 030104 developmental biology, Haplotypes, Immunology, biology.protein, RISK-FACTORS, INFERENCE, HEALTH, 030217 neurology & neurosurgery
Abstract

Background\ud \ud The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression.\ud \ud \ud Methods\ud \ud We fine-mapped the classical MHC (chr6: 29.6–33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10−6) and a candidate threshold (1.6 × 10−4).\ud \ud \ud Results\ud \ud No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97–0.99).\ud \ud \ud Conclusions\ud \ud We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.

Published
2020

11. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Author

Coleman, Jonathan RI, Peyrot, Wouter J, Purves, Kirstin L, Davis, Katrina AS, Rayner, Christopher, Choi, Shing Wan, Hubel, Christopher, Gaspar, Helena A, Kan, Carol, Van der Auwera, Sandra, Adams, Mark James, Lyall, Donald M, Choi, Karmel W, Dunn, Erin C, Vassos, Evangelos, Danese, Andrea, Maughan, Barbara, Grabe, Hans J, Lewis, Cathryn M, O'Reilly, Paul F, McIntosh, Andrew M, Smith, Daniel J, Wray, Naomi R, Hotopf, Matthew, Eley, Thalia C, Breen, Gerome, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till FM, Bacanu, Silviu-Alin, Baekvad-Hansen, Marie, Beekman, Aartjan TF, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschon, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Colodro-Conde, Lucia, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Direk, Nese, Dolan, Conor V, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Foo, Jerome C, Forstner, Andreas J, Frank, Josef, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Christine Soholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Kutalik, Zoltan, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bocker, Pedersen, Marianne Giortz, Peterson, Roseann E, Pettersson, Erik, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant CB, Smit, Johannes H, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andres G, Umbricht, Daniel, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jurgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I, Cichon, Sven, Dannlowski, Udo, de Geus, EJC, DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tonu, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela AF, Magnusson, Patrik K, Martin, Nicholas G, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Mueller-Myhsok, Bertram, Nordentoft, Merete, Noethen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda WJH, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Volzke, Henry, Weissman, Myrna M, Werge, Thomas, Levinson, Douglas F, Borglum, Anders D, Sullivan, Patrick F, Consortium, Psychiat Genomics, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Methodology, APH - Digital Health, Adult Psychiatry, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Sociology and Social Gerontology, Complex Trait Genetics, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), on the behalf of Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, FFH, Finucane, H.K., Foo, J.C., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, EJC, DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, PAF, Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., and Sullivan, P.F.

Subjects
Netherlands Twin Register (NTR), 0301 basic medicine, Male, SYMPTOMS, Databases, Factual, Genome-wide association study, 0302 clinical medicine, Medicine, Depression (differential diagnoses), RISK, HERITABILITY, PSYCHIATRIC-DISORDERS, Middle Aged, Psychiatry and Mental health, Major depressive disorder, Female, Waist Circumference, MENTAL-HEALTH, Psychological trauma, Clinical psychology, Adult, Psychological Trauma, Genetic correlation, CHILDHOOD MALTREATMENT, Article, EVENTS, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, ADVERSITY, mental disorders, SNP, Humans, Genetic Predisposition to Disease, Molecular Biology, Genetic association, Aged, Depressive Disorder, Major, business.industry, Heritability, medicine.disease, United Kingdom, ASSOCIATION ANALYSIS, 030104 developmental biology, BIOLOGICAL INSIGHTS, Gene-Environment Interaction, Self Report, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Depression is more frequent among individuals exposed to traumatic events. Both trauma exposure and depression are heritable. However, the relationship between these traits, including the role of genetic risk factors, is complex and poorly understood. When modelling trauma exposure as an environmental influence on depression, both gene-environment correlations and gene-environment interactions have been observed. The UK Biobank concurrently assessed Major Depressive Disorder (MDD) and self-reported lifetime exposure to traumatic events in 126,522 genotyped individuals of European ancestry. We contrasted genetic influences on MDD stratified by reported trauma exposure (final sample size range: 24,094-92,957). The SNP-based heritability of MDD with reported trauma exposure (24%) was greater than MDD without reported trauma exposure (12%). Simulations showed that this is not confounded by the strong, positive genetic correlation observed between MDD and reported trauma exposure. We also observed that the genetic correlation between MDD and waist circumference was only significant in individuals reporting trauma exposure (r g = 0.24, p = 1.8 × 10 -7 versus r g = -0.05, p = 0.39 in individuals not reporting trauma exposure, difference p = 2.3 × 10 -4 ). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.

Published
2020

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