Identification of shared and differentiating genetic architecture for autism spectrum disorder, attention-deficit hyperactivity disorder and case subgroups.


Journal

Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904

Informations de publication

Date de publication:
10 2022
Historique:
received: 01 06 2021
accepted: 20 06 2022
pubmed: 27 9 2022
medline: 12 10 2022
entrez: 26 9 2022
Statut: ppublish

Résumé

Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are highly heritable neurodevelopmental conditions, with considerable overlap in their genetic etiology. We dissected their shared and distinct genetic etiology by cross-disorder analyses of large datasets. We identified seven loci shared by the disorders and five loci differentiating them. All five differentiating loci showed opposite allelic directions in the two disorders and significant associations with other traits, including educational attainment, neuroticism and regional brain volume. Integration with brain transcriptome data enabled us to identify and prioritize several significantly associated genes. The shared genomic fraction contributing to both disorders was strongly correlated with other psychiatric phenotypes, whereas the differentiating portion was correlated most strongly with cognitive traits. Additional analyses revealed that individuals diagnosed with both ASD and ADHD were double-loaded with genetic predispositions for both disorders and showed distinctive patterns of genetic association with other traits compared with the ASD-only and ADHD-only subgroups. These results provide insights into the biological foundation of the development of one or both conditions and of the factors driving psychopathology discriminatively toward either ADHD or ASD.

Identifiants

pubmed: 36163277
doi: 10.1038/s41588-022-01171-3
pii: 10.1038/s41588-022-01171-3
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1470-1478

Subventions

Organisme : NIMH NIH HHS
ID : U01 MH109514
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH109536
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH125050
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH116442
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH105500
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH116037
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109677
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH110427
Pays : United States
Organisme : NIAMS NIH HHS
ID : U01 AR076092
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH125246
Pays : United States

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

Références

Dalsgaard, S. et al. Incidence rates and cumulative incidences of the full spectrum of diagnosed mental disorders in childhood and adolescence. JAMA Psychiatry 77, 155–164 (2020).
pubmed: 31746968 doi: 10.1001/jamapsychiatry.2019.3523
Faraone, S. V. & Larsson, H. Genetics of attention deficit hyperactivity disorder. Mol. Psychiatry 24, 562–575 (2019).
pubmed: 29892054 doi: 10.1038/s41380-018-0070-0
Pettersson, E. et al. Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls. Psychol. Med. 49, 1166–1173 (2019).
pubmed: 30221610 doi: 10.1017/S0033291718002039
Sandin, S. et al. The heritability of autism spectrum disorder. JAMA 318, 1182–1184 (2017).
pubmed: 28973605 pmcid: 5818813 doi: 10.1001/jama.2017.12141
Grove, J. et al. Identification of common genetic risk variants for autism spectrum disorder. Nat. Genet. 51, 431–444 (2019).
pubmed: 30804558 pmcid: 6454898 doi: 10.1038/s41588-019-0344-8
Demontis, D. et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat. Genet. 51, 63–75 (2019).
pubmed: 30478444 doi: 10.1038/s41588-018-0269-7
Matoba, N. et al. Common genetic risk variants identified in the SPARK cohort support DDHD2 as a candidate risk gene for autism. Transl. Psychiatry 10, 265 (2020).
pubmed: 32747698 pmcid: 7400671 doi: 10.1038/s41398-020-00953-9
Cross-Disorder Group of the Psychiatric Genomics Consortium. Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell 179, 1469–1482.e11 (2019).
pmcid: 7077032 doi: 10.1016/j.cell.2019.11.020
Martin, J. et al. Biological overlap of attention-deficit/hyperactivity disorder and autism spectrum disorder: evidence from copy number variants. J. Am. Acad. Child Adolesc. Psychiatry 53, 761–770.e26 (2014).
pubmed: 24954825 pmcid: 4074351 doi: 10.1016/j.jaac.2014.03.004
Satterstrom, F. K. et al. Autism spectrum disorder and attention deficit hyperactivity disorder have a similar burden of rare protein-truncating variants. Nat. Neurosci. 22, 1961–1965 (2019).
pubmed: 31768057 pmcid: 6884695 doi: 10.1038/s41593-019-0527-8
Rommelse, N. N., Geurts, H. M., Franke, B., Buitelaar, J. K. & Hartman, C. A. A review on cognitive and brain endophenotypes that may be common in autism spectrum disorder and attention-deficit/hyperactivity disorder and facilitate the search for pleiotropic genes. Neurosci. Biobehav. Rev. 35, 1363–1396 (2011).
pubmed: 21382410 doi: 10.1016/j.neubiorev.2011.02.015
Zablotsky, B., Bramlett, M. D. & Blumberg, S. J. The co-occurrence of autism spectrum disorder in children with ADHD. J. Atten. Disord. 24, 94–103 (2020).
pubmed: 28614965 doi: 10.1177/1087054717713638
Lai, M. C. et al. Prevalence of co-occurring mental health diagnoses in the autism population: a systematic review and meta-analysis. Lancet Psychiatry 6, 819–829 (2019).
pubmed: 31447415 doi: 10.1016/S2215-0366(19)30289-5
Ottosen, C. et al. Sex differences in comorbidity patterns of attention-deficit/hyperactivity disorder. J. Am. Acad. Child Adolesc. Psychiatry 58, 412–422.e3 (2019).
pubmed: 30768399 doi: 10.1016/j.jaac.2018.07.910
Ghirardi, L. et al. The familial co-aggregation of ASD and ADHD: a register-based cohort study. Mol. Psychiatry 23, 257–262 (2018).
pubmed: 28242872 doi: 10.1038/mp.2017.17
1000 Genomes Project Consortiumet al. A global reference for human genetic variation. Nature 526, 68–74 (2015).
doi: 10.1038/nature15393
Bulik-Sullivan, B. K. et al. LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet. 47, 291–295 (2015).
pubmed: 25642630 pmcid: 4495769 doi: 10.1038/ng.3211
Yang, Z. et al. Investigating shared genetic basis across Tourette syndrome and comorbid neurodevelopmental disorders along the impulsivity-compulsivity spectrum. Biol. Psychiatry 90, 317–327 (2021).
pubmed: 33714545 pmcid: 9152955 doi: 10.1016/j.biopsych.2020.12.028
Sabourdy, F. et al. A MANBA mutation resulting in residual beta-mannosidase activity associated with severe leukoencephalopathy: a possible pseudodeficiency variant. BMC Med. Genet. 10, 84 (2009).
pubmed: 19728872 pmcid: 2745377 doi: 10.1186/1471-2350-10-84
Zhang, W. et al. Integrative transcriptome imputation reveals tissue-specific and shared biological mechanisms mediating susceptibility to complex traits. Nat. Commun. 10, 3834 (2019).
pubmed: 31444360 pmcid: 6707297 doi: 10.1038/s41467-019-11874-7
Wang, D. et al. Comprehensive functional genomic resource and integrative model for the human brain. Science 362, eaat8464 (2018).
pubmed: 30545857 pmcid: 6413328 doi: 10.1126/science.aat8464
de Leeuw, C. A., Mooij, J. M., Heskes, T. & Posthuma, D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput. Biol. 11, e1004219 (2015).
pubmed: 25885710 pmcid: 4401657 doi: 10.1371/journal.pcbi.1004219
Watanabe, K., Taskesen, E., van Bochoven, A. & Posthuma, D. Functional mapping and annotation of genetic associations with FUMA. Nat. Commun. 8, 1826 (2017).
pubmed: 29184056 pmcid: 5705698 doi: 10.1038/s41467-017-01261-5
Peyrot, W. J. & Price, A. L. Identifying loci with different allele frequencies among cases of eight psychiatric disorders using CC-GWAS. Nat. Genet. 53, 445–454 (2021).
pubmed: 33686288 pmcid: 8038973 doi: 10.1038/s41588-021-00787-1
Lee, J. J. et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat. Genet. 50, 1112–1121 (2018).
pubmed: 30038396 pmcid: 6393768 doi: 10.1038/s41588-018-0147-3
Marzluff, W. F., Gongidi, P., Woods, K. R., Jin, J. & Maltais, L. J. The human and mouse replication-dependent histone genes. Genomics 80, 487–498 (2002).
pubmed: 12408966 doi: 10.1006/geno.2002.6850
Zhao, B. et al. Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits. Nat. Genet. 51, 1637–1644 (2019).
pubmed: 31676860 pmcid: 6858580 doi: 10.1038/s41588-019-0516-6
Baselmans, B. M. L. et al. Multivariate genome-wide analyses of the well-being spectrum. Nat. Genet. 51, 445–451 (2019).
pubmed: 30643256 doi: 10.1038/s41588-018-0320-8
Zheng, J. et al. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics 33, 272–279 (2017).
pubmed: 27663502 doi: 10.1093/bioinformatics/btw613
Bulik-Sullivan, B. et al. An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241 (2015).
pubmed: 26414676 pmcid: 4797329 doi: 10.1038/ng.3406
Corces, M. R. et al. Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer’s and Parkinson’s diseases. Nat. Genet. 52, 1158–1168 (2020).
pubmed: 33106633 pmcid: 7606627 doi: 10.1038/s41588-020-00721-x
Graciarena, M., Seiffe, A., Nait-Oumesmar, B. & Depino, A. M. Hypomyelination and oligodendroglial alterations in a mouse model of autism spectrum disorder. Front. Cell. Neurosci. 12, 517 (2018).
pubmed: 30687009 doi: 10.3389/fncel.2018.00517
Wu, Z. M. et al. White matter microstructural alterations in children with ADHD: categorical and dimensional perspectives. Neuropsychopharmacology 42, 572–580 (2017).
pubmed: 27681441 doi: 10.1038/npp.2016.223
Aoki, Y. et al. Association of white matter structure with autism spectrum disorder and attention-deficit/hyperactivity disorder. JAMA Psychiatry 74, 1120–1128 (2017).
pubmed: 28877317 pmcid: 5710226 doi: 10.1001/jamapsychiatry.2017.2573
Neale, B. M. et al. Meta-analysis of genome-wide association studies of attention-deficit/hyperactivity disorder. J. Am. Acad. Child Adolesc. Psychiatry 49, 884–897 (2010).
pubmed: 20732625 pmcid: 2928252 doi: 10.1016/j.jaac.2010.06.008
Nagel, M., Watanabe, K., Stringer, S., Posthuma, D. & van der Sluis, S. Item-level analyses reveal genetic heterogeneity in neuroticism. Nat. Commun. 9, 905 (2018).
pubmed: 29500382 pmcid: 5834468 doi: 10.1038/s41467-018-03242-8
Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76–82 (2011).
pubmed: 21167468 pmcid: 3014363 doi: 10.1016/j.ajhg.2010.11.011
Satterstrom, F. K. et al. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell 180, 568–584.e23 (2020).
pubmed: 31981491 pmcid: 7250485 doi: 10.1016/j.cell.2019.12.036
Duffney, L. J. et al. Epigenetics and autism spectrum disorder: a report of an autism case with mutation in H1 linker histone HIST1H1E and literature review. Am. J. Med. Genet. B Neuropsychiatr. Genet. 177, 426–433 (2018).
pubmed: 29704315 pmcid: 5980735 doi: 10.1002/ajmg.b.32631
De Rubeis, S. et al. Synaptic, transcriptional and chromatin genes disrupted in autism. Nature 515, 209–215 (2014).
pubmed: 25363760 pmcid: 4402723 doi: 10.1038/nature13772
Bryant, L. et al. Histone H3.3 beyond cancer: germline mutations in histone 3 family 3A and 3B cause a previously unidentified neurodegenerative disorder in 46 patients. Sci. Adv. 6, eabc9207 (2020).
pubmed: 33268356 pmcid: 7821880 doi: 10.1126/sciadv.abc9207
Subramanian, K. et al. Basal ganglia and autism - a translational perspective. Autism Res. 10, 1751–1775 (2017).
pubmed: 28730641 doi: 10.1002/aur.1837
Clarke, T. K. et al. Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Mol. Psychiatry 21, 419–425 (2016).
pubmed: 25754080 doi: 10.1038/mp.2015.12
Traut, N. et al. Cerebellar volume in autism: literature meta-analysis and analysis of the Autism Brain Imaging Data Exchange Cohort. Biol. Psychiatry 83, 579–588 (2018).
pubmed: 29146048 doi: 10.1016/j.biopsych.2017.09.029
Hoogman, M. et al. Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis. Lancet Psychiatry 4, 310–319 (2017).
pubmed: 28219628 pmcid: 5933934 doi: 10.1016/S2215-0366(17)30049-4
Shaw, P. et al. A multicohort, longitudinal study of cerebellar development in attention deficit hyperactivity disorder. J. Child Psychol. Psychiatry 59, 1114–1123 (2018).
pubmed: 29693267 pmcid: 6158081 doi: 10.1111/jcpp.12920
Wolfers, T. et al. Individual differences v. the average patient: mapping the heterogeneity in ADHD using normative models. Psychol. Med. 50, 314–323 (2020).
pubmed: 30782224 doi: 10.1017/S0033291719000084
Fliers, E. et al. Motor coordination problems in children and adolescents with ADHD rated by parents and teachers: effects of age and gender. J. Neural Transm. 115, 211–220 (2008).
pubmed: 17994185 doi: 10.1007/s00702-007-0827-0
Franke, B. et al. Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan. Eur. Neuropsychopharmacol. 28, 1059–1088 (2018).
pubmed: 30195575 pmcid: 6379245 doi: 10.1016/j.euroneuro.2018.08.001
Basile, G. A. et al. Red nucleus structure and function: from anatomy to clinical neurosciences. Brain Struct. Funct. 226, 69–91 (2021).
pubmed: 33180142 doi: 10.1007/s00429-020-02171-x
Dalsgaard, S., Nielsen, H. S. & Simonsen, M. Five-fold increase in national prevalence rates of attention-deficit/hyperactivity disorder medications for children and adolescents with autism spectrum disorder, attention-deficit/hyperactivity disorder, and other psychiatric disorders: a Danish register-based study. J. Child Adolesc. Psychopharmacol. 23, 432–439 (2013).
pubmed: 24015896 pmcid: 3778945 doi: 10.1089/cap.2012.0111
Rosenberg, R. E. et al. Psychotropic medication use among children with autism spectrum disorders enrolled in a national registry, 2007-2008. J. Autism Dev. Disord. 40, 342–351 (2010).
pubmed: 19806445 doi: 10.1007/s10803-009-0878-1
Dalsgaard, S., Leckman, J. F., Mortensen, P. B., Nielsen, H. S. & Simonsen, M. Effect of drugs on the risk of injuries in children with attention deficit hyperactivity disorder: a prospective cohort study. Lancet Psychiatry 2, 702–709 (2015).
pubmed: 26249301 doi: 10.1016/S2215-0366(15)00271-0
Chang, Z., D’Onofrio, B. M., Quinn, P. D., Lichtenstein, P. & Larsson, H. Medication for attention-deficit/hyperactivity disorder and risk for depression: a nationwide longitudinal cohort study. Biol. Psychiatry 80, 916–922 (2016).
pubmed: 27086545 pmcid: 4995143 doi: 10.1016/j.biopsych.2016.02.018
Chang, Z. et al. Medication for attention-deficit/hyperactivity disorder and risk for suicide attempts. Biol. Psychiatry 88, 452–458 (2020).
pubmed: 31987492 doi: 10.1016/j.biopsych.2019.12.003
Keilow, M., Holm, A. & Fallesen, P. Medical treatment of attention deficit/hyperactivity disorder (ADHD) and children’s academic performance. PLoS ONE 13, e0207905 (2018).
pubmed: 30496240 pmcid: 6264851 doi: 10.1371/journal.pone.0207905
Brainstorm Consortiumet al. Analysis of shared heritability in common disorders of the brain. Science 360, eaap8757 (2018).
doi: 10.1126/science.aap8757
Polderman, T. J., Hoekstra, R. A., Posthuma, D. & Larsson, H. The co-occurrence of autistic and ADHD dimensions in adults: an etiological study in 17,770 twins. Transl. Psychiatry 4, e435 (2014).
pubmed: 25180574 pmcid: 4203013 doi: 10.1038/tp.2014.84
Ronald, A., Larsson, H., Anckarsater, H. & Lichtenstein, P. Symptoms of autism and ADHD: a Swedish twin study examining their overlap. J. Abnorm Psychol. 123, 440–451 (2014).
pubmed: 24731073 doi: 10.1037/a0036088
Pedersen, C. B. et al. The iPSYCH2012 case-cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders. Mol. Psychiatry 23, 6–14 (2018).
pubmed: 28924187 doi: 10.1038/mp.2017.196
Chang, C. C. et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience 4, 7 (2015).
pubmed: 25722852 pmcid: 4342193 doi: 10.1186/s13742-015-0047-8
Patterson, N., Price, A. L. & Reich, D. Population structure and eigenanalysis. PLoS Genet. 2, e190 (2006).
pubmed: 17194218 pmcid: 1713260 doi: 10.1371/journal.pgen.0020190
Price, A. L. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38, 904–909 (2006).
pubmed: 16862161 doi: 10.1038/ng1847
Lam, M. et al. RICOPILI: Rapid imputation for COnsortias PIpeLIne. Bioinformatics 36, 930–933 (2020).
pubmed: 31393554 doi: 10.1093/bioinformatics/btz633
Willer, C. J., Li, Y. & Abecasis, G. R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010).
pubmed: 20616382 pmcid: 2922887 doi: 10.1093/bioinformatics/btq340
Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes. Cell 173, 1705–1715.e16 (2018).
pmcid: 6432650 doi: 10.1016/j.cell.2018.05.046
Watanabe, K. et al. A global overview of pleiotropy and genetic architecture in complex traits. Nat. Genet. 51, 1339–1348 (2019).
pubmed: 31427789 doi: 10.1038/s41588-019-0481-0
Buniello, A. et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 47, D1005–D1012 (2019).
pubmed: 30445434 doi: 10.1093/nar/gky1120
Byrne, E. M. et al. Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders. Mol. Psychiatry 26, 2070–2081 (2021).
pubmed: 32398722 doi: 10.1038/s41380-020-0705-9
Gandal, M. J. et al. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science 362, eaat8127 (2018).
pubmed: 30545856 pmcid: 6443102 doi: 10.1126/science.aat8127
Das, S. et al. Next-generation genotype imputation service and methods. Nat. Genet. 48, 1284–1287 (2016).
pubmed: 27571263 pmcid: 5157836 doi: 10.1038/ng.3656
McCarthy, S. et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279–1283 (2016).
pubmed: 27548312 pmcid: 5388176 doi: 10.1038/ng.3643
Roadmap Epigenomics Consortiumet al. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015).
pmcid: 4530010 doi: 10.1038/nature14248
Cao, C. et al. Power analysis of transcriptome-wide association study: implications for practical protocol choice. PLoS Genet. 17, e1009405 (2021).
pubmed: 33635859 pmcid: 7946362 doi: 10.1371/journal.pgen.1009405
GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science 369, 1318–1330 (2020).
doi: 10.1126/science.aaz1776
Liu, X. et al. Functional architectures of local and distal regulation of gene expression in multiple human tissues. Am. J. Hum. Genet. 100, 605–616 (2017).
pubmed: 28343628 pmcid: 5384099 doi: 10.1016/j.ajhg.2017.03.002
Finucane, H. K. et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nat. Genet. 47, 1228–1235 (2015).
pubmed: 26414678 pmcid: 4626285 doi: 10.1038/ng.3404
Watanabe, K., Umicevic Mirkov, M., de Leeuw, C. A., van den Heuvel, M. P. & Posthuma, D. Genetic mapping of cell type specificity for complex traits. Nat. Commun. 10, 3222 (2019).
pubmed: 31324783 pmcid: 6642112 doi: 10.1038/s41467-019-11181-1
Grotzinger, A. D. et al. Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis. Nat. Genet. 54, 548–559 (2022).
pubmed: 35513722 doi: 10.1038/s41588-022-01057-4
Davies, G. et al. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151). Mol. Psychiatry 21, 758–767 (2016).
pubmed: 27046643 pmcid: 4879186 doi: 10.1038/mp.2016.45
Okbay, A. et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539–542 (2016).
pubmed: 27225129 pmcid: 4883595 doi: 10.1038/nature17671
Benyamin, B. et al. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol. Psychiatry 19, 253–258 (2014).
pubmed: 23358156 doi: 10.1038/mp.2012.184
Sniekers, S. et al. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nat. Genet. 49, 1107–1112 (2017).
pubmed: 28530673 pmcid: 5665562 doi: 10.1038/ng.3869
Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014).
pmcid: 4112379 doi: 10.1038/nature13595
Wray, N. R. et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat. Genet. 50, 668–681 (2018).
pubmed: 29700475 pmcid: 5934326 doi: 10.1038/s41588-018-0090-3
Okbay, A. et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624–633 (2016).
pubmed: 27089181 pmcid: 4884152 doi: 10.1038/ng.3552
Jones, S. E. et al. Genome-wide association analyses in 128,266 individuals identifies new morningness and sleep duration loci. PLoS Genet. 12, e1006125 (2016).
pubmed: 27494321 pmcid: 4975467 doi: 10.1371/journal.pgen.1006125
Deary, V. et al. Genetic contributions to self-reported tiredness. Mol. Psychiatry 23, 609–620 (2018).
pubmed: 28194004 doi: 10.1038/mp.2017.5
Tobacco and Genetics Consortium. Genome-wide meta-analyses identify multiple loci associated with smoking behavior. Nat. Genet. 42, 441–447 (2010).
doi: 10.1038/ng.571
Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).
pubmed: 17701901 pmcid: 1950838 doi: 10.1086/519795
Stahl, E. A. et al. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat. Genet. 51, 793–803 (2019).
pubmed: 31043756 pmcid: 6956732 doi: 10.1038/s41588-019-0397-8
Yang, J., Lee, S. H., Wray, N. R., Goddard, M. E. & Visscher, P. M. GCTA-GREML accounts for linkage disequilibrium when estimating genetic variance from genome-wide SNPs. Proc. Natl Acad. Sci. USA 113, E4579–E4580 (2016).
pubmed: 27457963 pmcid: 4987770 doi: 10.1073/pnas.1602743113
Altman, D. G. & Bland, J. M. How to obtain the confidence interval from a P value. BMJ 343, d2090 (2011).
pubmed: 21824904 doi: 10.1136/bmj.d2090

Auteurs

Manuel Mattheisen (M)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark. manuel.mattheisen@gmail.com.
Department of Community Health and Epidemiology & Department of Psychiatry, Dalhousie University, Halifax, NS, Canada. manuel.mattheisen@gmail.com.
Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany. manuel.mattheisen@gmail.com.

Jakob Grove (J)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Genomics and Personalized Medicine, Aarhus, Denmark.
Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark.

Thomas D Als (TD)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Genomics and Personalized Medicine, Aarhus, Denmark.

Joanna Martin (J)

MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.

Georgios Voloudakis (G)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Sandra Meier (S)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark.
Department of Community Health and Epidemiology & Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.

Ditte Demontis (D)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Genomics and Personalized Medicine, Aarhus, Denmark.

Jaroslav Bendl (J)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Raymond Walters (R)

Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Caitlin E Carey (CE)

Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Anders Rosengren (A)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Institute of Biological Psychiatry, Mental Health Services Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.

Nora I Strom (NI)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark.
Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.
Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Mads Engel Hauberg (ME)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Biao Zeng (B)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Gabriel Hoffman (G)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Wen Zhang (W)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Jonas Bybjerg-Grauholm (J)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.

Marie Bækvad-Hansen (M)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.

Esben Agerbo (E)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark.

Bru Cormand (B)

Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Catalonia, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.
Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.

Merete Nordentoft (M)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Department of Clinical Medicine, Faculty of Health Science, University of Copenhagen, Copenhagen, Denmark.
Copenhagen Research Centre for Mental Health (CORE), Mental Health Centre Copenhagen, Copenhagen, Denmark.
University Hospital, Hellerup, Denmark.

Thomas Werge (T)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Institute of Biological Psychiatry, Mental Health Services Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.
Department of Clinical Medicine, Faculty of Health Science, University of Copenhagen, Copenhagen, Denmark.
GLOBE Institute, Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark.

Ole Mors (O)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Psychosis Research Unit, Aarhus University Hospital-Psychiatry, Aarhus, Denmark.

David M Hougaard (DM)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.

Joseph D Buxbaum (JD)

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Stephen V Faraone (SV)

Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA.
Department of Neuroscience and Physiology, State University of New York Upstate Medical University, Syracuse, NY, USA.

Barbara Franke (B)

Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.

Søren Dalsgaard (S)

National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.

Preben B Mortensen (PB)

The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Center for Genomics and Personalized Medicine, Aarhus, Denmark.
National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.
Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark.

Elise B Robinson (EB)

Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Panos Roussos (P)

Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Psychiatry, JJ Peters VA Medical Center, Bronx, NY, USA.

Benjamin M Neale (BM)

Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Mark J Daly (MJ)

Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Department of Medicine, Harvard Medical School, Boston, MA, USA.
Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.

Anders D Børglum (AD)

Department of Biomedicine - Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark. anders@biomed.au.dk.
The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark. anders@biomed.au.dk.
Center for Genomics and Personalized Medicine, Aarhus, Denmark. anders@biomed.au.dk.

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