Psychiatric genetics and the structure of psychopathology.


Journal

Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835

Informations de publication

Date de publication:
03 2019
Historique:
received: 20 07 2017
accepted: 01 11 2017
revised: 23 10 2017
pubmed: 11 1 2018
medline: 4 12 2019
entrez: 11 1 2018
Statut: ppublish

Résumé

For over a century, psychiatric disorders have been defined by expert opinion and clinical observation. The modern DSM has relied on a consensus of experts to define categorical syndromes based on clusters of symptoms and signs, and, to some extent, external validators, such as longitudinal course and response to treatment. In the absence of an established etiology, psychiatry has struggled to validate these descriptive syndromes, and to define the boundaries between disorders and between normal and pathologic variation. Recent advances in genomic research, coupled with large-scale collaborative efforts like the Psychiatric Genomics Consortium, have identified hundreds of common and rare genetic variations that contribute to a range of neuropsychiatric disorders. At the same time, they have begun to address deeper questions about the structure and classification of mental disorders: To what extent do genetic findings support or challenge our clinical nosology? Are there genetic boundaries between psychiatric and neurologic illness? Do the data support a boundary between disorder and normal variation? Is it possible to envision a nosology based on genetically informed disease mechanisms? This review provides an overview of conceptual issues and genetic findings that bear on the relationships among and boundaries between psychiatric disorders and other conditions. We highlight implications for the evolving classification of psychopathology and the challenges for clinical translation.

Identifiants

pubmed: 29317742
doi: 10.1038/s41380-017-0010-4
pii: 10.1038/s41380-017-0010-4
pmc: PMC6684352
mid: NIHMS1022096
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

409-420

Subventions

Organisme : NIMH NIH HHS
ID : K24 MH094614
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH109536
Pays : United States

Commentaires et corrections

Type : ErratumIn

Références

American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. 5th edn. Arlington, VA: American Psychiatric Association; 2013., xliv, p. 947.
Rudin E. Studien uber Vererbung und entstehung geistiger Storungen. I. Zur vererbung und neuentstehung der Dementia praecox (Studies on the inheritance and origin of mental illness. I. The problem of the inheritance and primary origin of dementia praecox). Monographien aus dem Gesamtgebiet der Neurologie und Psychiatrie, Number 12. Berlin: Springer; 1916.
Luxenburger H. Vorlaufiger Bericht uder psychiatrische Serienuntersuchungen und Zwillingen. Z Gesamt Neurol Psychiatr. 1928;116:297–326.
doi: 10.1007/BF02892967
Heston LL. Psychiatric disorder in foster home reared children of schizophrenic mothers. Br J Psychiatry. 1966;112:819–25.
doi: 10.1192/bjp.112.489.819 pubmed: 5966555
Kendler KS, Eaves LJ. Psychiatric genetics, review of psychiatry, Vol 24. Arlington, VA: American Psychiatric Publishing, Inc.; 2005.
Kendler KS. Twin studies of psychiatric illness: an update. Arch Gen Psychiatry. 2001;58:1005–14.
doi: 10.1001/archpsyc.58.11.1005 pubmed: 11695946
Kendler KS, Prescott CA, Myers J, Neale MC. The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry. 2003;60:929–37.
doi: 10.1001/archpsyc.60.9.929 pubmed: 12963675
Kety SS. The significance of genetic factors in the etiology of schizophrenia: results from the national study of adoptees in Denmark. J Psychiatr Res. 1987;21:423–9.
doi: 10.1016/0022-3956(87)90089-6 pubmed: 3440955
Sprich S, Biederman J, Crawford MH, Mundy E, Faraone SV. Adoptive and biological families of children and adolescents with ADHD. J Am Acad Child Adolesc Psychiatry. 2000;39:1432–7.
doi: 10.1097/00004583-200011000-00018 pubmed: 11068899
Verhulst B, Neale MC, Kendler KS. The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies. Psychol Med. 2015;45:1061–72.
doi: 10.1017/S0033291714002165 pubmed: 25171596
Kendler KS, Aggen SH, Knudsen GP, Roysamb E, Neale MC, Reichborn-Kjennerud T. The structure of genetic and environmental risk factors for syndromal and subsyndromal common DSM-IV axis I and all axis II disorders. Am J Psychiatry. 2011;168:29–39.
doi: 10.1176/appi.ajp.2010.10030340 pubmed: 20952461
Purcell SM, Wray NR, Stone JL, Visscher PM, O’Donovan MC, et al. International Schizophrenia Consortium Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–52.
doi: 10.1038/nature08185 pubmed: 19571811
Stefansson H, Ophoff RA, Steinberg S, Andreassen OA, Cichon S, Rujescu D, et al. Common variants conferring risk of schizophrenia. Nature. 2009;460:744–7.
pubmed: 19571808 pmcid: 3077530 doi: 10.1038/nature08186
Stefansson H, Rujescu D, Cichon S, Pietilainen OP, Ingason A, Steinberg S, et al. Large recurrent microdeletions associated with schizophrenia. Nature. 2008;455:232–6.
pubmed: 18668039 pmcid: 2687075 doi: 10.1038/nature07229
International Schizophrenia Consortium. Rare chromosomal deletions and duplications increase risk of schizophrenia. Nature. 2008;455:237–41.
doi: 10.1038/nature07239
Psychiatric GWAS Consortium Coordinating Committee. Genomewide association studies: history, rationale, and prospects for psychiatric disorders. Am J Psychiatry. 2009;166:540–56.
doi: 10.1176/appi.ajp.2008.08091354
Visscher PM, Wray NR, Zhang Q, Sklar P, McCarthy MI, Brown MA, et al. 10 Years of GWAS Discovery: biology, function, and translation. Am J Hum Genet. 2017;101:5–22.
pubmed: 28686856 pmcid: 5501872 doi: 10.1016/j.ajhg.2017.06.005
Schizophrenia Working Group of the Psychiatric Genomics C. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511:421–7.
doi: 10.1038/nature13595
Wray NR, Lee SH, Mehta D, Vinkhuyzen AA, Dudbridge F, Middeldorp CM. Research review: Polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry. 2014;55:1068–87.
doi: 10.1111/jcpp.12295 pubmed: 25132410
Otowa T, Hek K, Lee M, Byrne EM, Mirza SS, Nivard MG, et al. Meta-analysis of genome-wide association studies of anxiety disorders. Mol Psychiatry. 2016;21:1485.
doi: 10.1038/mp.2016.11 pubmed: 26857599
Duncan LE, Ratanatharathorn A, Aiello AE, Almli LM, Amstadter AB, Ashley-Koch AE et al. Largest GWAS of PTSD (N = 20 070) yields genetic overlap with schizophrenia and sex differences in heritability. Mol Psychiatry. 2017 Apr 25. doi:10.1038/mp.2017.77. [Epub ahead of print].
pubmed: 28439101 pmcid: 5696105 doi: 10.1038/mp.2017.77
Cross-Disorder Group of the Psychiatric Genomics C, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet. 2013;45:984–94.
doi: 10.1038/ng.2711
Charney AW, Ruderfer DM, Stahl EA, Moran JL, Chambert K, Belliveau RA, et al. Evidence for genetic heterogeneity between clinical subtypes of bipolar disorder. Transl Psychiatry. 2017;7:e993.
pubmed: 28072414 pmcid: 5545718 doi: 10.1038/tp.2016.242
CNV Schizophrenia Working Groups of the Psychiatric Genomics Consortium. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat Genet. 2017;49:27–35.
doi: 10.1038/ng0417-651d
Genovese G, Fromer M, Stahl EA, Ruderfer DM, Chambert K, Landen M, et al. Increased burden of ultra-rare protein-altering variants among 4877 individuals with schizophrenia. Nat Neurosci. 2016;19:1433–41.
pubmed: 27694994 pmcid: 5104192 doi: 10.1038/nn.4402
Deciphering Developmental Disorders S. Prevalence and architecture of de novo mutations in developmental disorders. Nature. 2017;542:433–8.
doi: 10.1038/nature21062
Willsey AJ, Fernandez TV, Yu D, King RA, Dietrich A, Xing J, et al. De novo coding variants are strongly associated with Tourette disorder. Neuron. 2017;94:486–99. e489
pubmed: 28472652 pmcid: 5769876 doi: 10.1016/j.neuron.2017.04.024
Vorstman JA, Parr JR, Moreno-De-Luca D, Anney RJ, Nurnberger JI Jr., Hallmayer JF. Autism genetics: opportunities and challenges for clinical translation. Nat Rev Genet. 2017;18:362–76.
doi: 10.1038/nrg.2017.4 pubmed: 28260791
de la Torre-Ubieta L, Won H, Stein JL, Geschwind DH. Advancing the understanding of autism disease mechanisms through genetics. Nat Med. 2016;22:345–61.
pubmed: 27050589 pmcid: 5072455 doi: 10.1038/nm.4071
Singh T, Kurki MI, Curtis D, Purcell SM, Crooks L, McRae J, et al. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders. Nat Neurosci. 2016;19:571–7.
doi: 10.1038/nn.4267 pubmed: 26974950 pmcid: 6689268
Solovieff N, Cotsapas C, Lee PH, Purcell SM, Smoller JW. Pleiotropy in complex traits: challenges and strategies. Nat Rev Genet. 2013;14:483–95.
pubmed: 23752797 pmcid: 4104202 doi: 10.1038/nrg3461
Malhotra D, Sebat J. CNVs: harbingers of a rare variant revolution in psychiatric genetics. Cell. 2012;148:1223–41.
pubmed: 22424231 pmcid: 3351385 doi: 10.1016/j.cell.2012.02.039
Tesli M, Espeseth T, Bettella F, Mattingsdal M, Aas M, Melle I, et al. Polygenic risk score and the psychosis continuum model. Acta Psychiatr Scand. 2014;130:311–7.
doi: 10.1111/acps.12307 pubmed: 24961959
Hatzimanolis A, Bhatnagar P, Moes A, Wang R, Roussos P, Bitsios P, et al. Common genetic variation and schizophrenia polygenic risk influence neurocognitive performance in young adulthood. Am J Med Genet B Neuropsychiatr Genet. 2015;168:392–401.
pmcid: 5008149 doi: 10.1002/ajmg.b.32323
McIntosh AM, Gow A, Luciano M, Davies G, Liewald DC, Harris SE, et al. Polygenic risk for schizophrenia is associated with cognitive change between childhood and old age. Biol Psychiatry. 2013;73:938–43.
doi: 10.1016/j.biopsych.2013.01.011 pubmed: 23419543
Roussos P, Giakoumaki SG, Zouraraki C, Fiullard JF, Karagiorga V-E, Tsapakis E-M, et al. The relationship of common risk variants and polygenic risk for schizophrenia to sensorimotor gating. Biol Psychiatry. 2016;79:988–96.
doi: 10.1016/j.biopsych.2015.06.019 pubmed: 26212897
Kauppi K, Westlye LT, Tesli M, Bettella F, Brandt CL, Mattingsdal M, et al. Polygenic risk for schizophrenia associated with working memory-related prefrontal brain activation in patients with schizophrenia and healthy controls. Schizophr Bull. 2015;41:736–43.
doi: 10.1093/schbul/sbu152 pubmed: 25392519
Riglin L, Collishaw S, Richards A, Thapar AK, Maughan B, O’Donovan MC, et al. Schizophrenia risk alleles and neurodevelopmental outcomes in childhood: a population-based cohort study. Lancet Psychiatry. 2017;4:57–62.
doi: 10.1016/S2215-0366(16)30406-0 pubmed: 27932233
Cross Disorder Group of the Psychiatric GWAS Consortium. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet. 2013;381:1371–9.
doi: 10.1016/S0140-6736(12)62129-1
Nivard MG, Gage SH, Hottenga JJ, van Beijsterveldt CE, Abdellaoui A, Bartels M, et al. Genetic overlap between schizophrenia and developmental psychopathology: longitudinal and multivariate polygenic risk prediction of common psychiatric traits during development. Schizophr Bull. 2017;43:1197–207.
pubmed: 28338919 pmcid: 5737694 doi: 10.1093/schbul/sbx031
Jones HJ, Stergiakouli E, Tansey KE, Hubbard L, Heron J, Cannon M, et al. Phenotypic manifestation of genetic risk for schizophrenia during adolescence in the general population. JAMA Psychiatry. 2016;73:221–8.
pubmed: 26818099 pmcid: 5024747 doi: 10.1001/jamapsychiatry.2015.3058
Lo MT, Hinds DA, Tung JY, Franz C, Fan CC, Wang Y, et al. Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders. Nat Genet. 2017;49:152–6.
doi: 10.1038/ng.3736 pubmed: 27918536
Zheng J, Erzurumluoglu AM, Elsworth BL, Kemp JP, Howe L, Haycock PC, 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. 2017;33:272–9.
pubmed: 27663502 doi: 10.1093/bioinformatics/btw613
Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nat Neurosci. 2015;18:199–209.
doi: 10.1038/nn.3922
Sekar A, Bialas AR, de Rivera H, Davis A, Hammond TR, Kamitaki N, et al. Schizophrenia risk from complex variation of complement component 4. Nature. 2016;530:177–83.
pubmed: 26814963 pmcid: 4752392 doi: 10.1038/nature16549
Devor A, Andreassen OA, Wang Y, Maki-Marttunen T, Smeland OB, Fan CC, et al. Genetic evidence for role of integration of fast and slow neurotransmission in schizophrenia. Mol Psychiatry. 2017;22:792–801.
pubmed: 28348379 pmcid: 5495879 doi: 10.1038/mp.2017.33
Gandal MJ, Leppa V, Won H, Parikshak NN, Geschwind DH. The road to precision psychiatry: translating genetics into disease mechanisms. Nat Neurosci. 2016;19:1397–407.
doi: 10.1038/nn.4409 pubmed: 27786179 pmcid: 9012265
Breen G, Li Q, Roth BL, O’Donnell P, Didriksen M, Dolmetsch R, et al. Translating genome-wide association findings into new therapeutics for psychiatry. Nat Neurosci. 2016;19:1392–6.
pubmed: 27786187 pmcid: 5676453 doi: 10.1038/nn.4411
Kathiresan S. Developing medicines that mimic the natural successes of the human genome: lessons from NPC1L1, HMGCR, PCSK9, APOC3, and CETP. J Am Coll Cardiol. 2015;65:1562–6.
doi: 10.1016/j.jacc.2015.02.049 pubmed: 25881938
Lahey BB, Applegate B, Hakes JK, Zald DH, Hariri AR, Rathouz PJ. Is there a general factor of prevalent psychopathology during adulthood? J Abnorm Psychol. 2012;121:971–7.
pubmed: 22845652 pmcid: 4134439 doi: 10.1037/a0028355
Kerekes N, Brandstrom S, Lundstrom S, Rastam M, Nilsson T, Anckarsater H. ADHD, autism spectrum disorder, temperament, and character: phenotypical associations and etiology in a Swedish childhood twin study. Compr Psychiatry. 2013;54:1140–7.
doi: 10.1016/j.comppsych.2013.05.009 pubmed: 23790516
Plomin R, Haworth CM, Davis OS. Common disorders are quantitative traits. Nat Rev Genet. 2009;10:872–8.
doi: 10.1038/nrg2670 pubmed: 19859063
Larsson H, Anckarsater H, Rastam M, Chang Z, Lichtenstein P. Childhood attention-deficit hyperactivity disorder as an extreme of a continuous trait: a quantitative genetic study of 8500 twin pairs. J Child Psychol Psychiatry. 2012;53:73–80.
doi: 10.1111/j.1469-7610.2011.02467.x pubmed: 21923806
Clarke TK, Lupton MK, Fernandez-Pujals AM, Starr J, Davies G, Cox S, et al. Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Mol Psychiatry. 2016;21:419–25.
doi: 10.1038/mp.2015.12 pubmed: 25754080
Groen-Blokhuis MM, Middeldorp CM, Kan KJ, Abdellaoui A, van Beijsterveldt CE, Ehli EA, et al. Attention-deficit/hyperactivity disorder polygenic risk scores predict attention problems in a population-based sample of children. J Am Acad Child Adolesc Psychiatry. 2014;53:1123–9. e1126
doi: 10.1016/j.jaac.2014.06.014 pubmed: 25245356
Robinson EB, St Pourcain B, Anttila V, Kosmicki JA, Bulik-Sullivan B, Grove J, et al. Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general population. Nat Genet. 2016;48:552–5.
pubmed: 26998691 pmcid: 4986048 doi: 10.1038/ng.3529
Germine L, Robinson EB, Smoller JW, Calkins ME, Moore TM, Hakonarson H, et al. Association between polygenic risk for schizophrenia, neurocognition and social cognition across development. Transl Psychiatry. 2016;6:e924.
pubmed: 27754483 pmcid: 5315539 doi: 10.1038/tp.2016.147
Insel T, Cuthbert B, Garvey M, Heinssen R, Pine DS, Quinn K, et al. Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am J Psychiatry. 2010;167:748–51.
doi: 10.1176/appi.ajp.2010.09091379 pubmed: 20595427
Insel TR Director’s Blog: Transforming diagnosis. https://www.nimh.nih.gov/about/directors/thomas-insel/blog/2013/transforming-diagnosis.shtml . 2013.
Hyman SE. The diagnosis of mental disorders: the problem of reification. Annu Rev Clin Psychol. 2010;6:12.11–25.
doi: 10.1146/annurev.clinpsy.3.022806.091532
Kendler KS. Levels of explanation in psychiatric and substance use disorders: implications for the development of an etiologically based nosology. Mol Psychiatry. 2012;17:11–21.
doi: 10.1038/mp.2011.70 pubmed: 21670729
Duncan L, Yilmaz Z, Gaspar H, Walters R, Goldstein J, Anttila V, et al. Significant locus and metabolic genetic correlations revealed in genome-wide association study of anorexia nervosa. Am J Psychiatry. 2017;174:850–8.
pubmed: 28494655 pmcid: 5581217 doi: 10.1176/appi.ajp.2017.16121402
Robins E, Guze S. Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia. Am J Psychiatry. 1970;126:983–7.
doi: 10.1176/ajp.126.7.983 pubmed: 5409569
Kendler KS. Toward a scientific psychiatric nosology. Strengths and limitations. Arch Gen Psychiatry. 1990;47:969–73.
doi: 10.1001/archpsyc.1990.01810220085011 pubmed: 2222134
Tsuang M, Faraone S, Lyons M. Identification of the phenotype in psychiatric genetics. Eur Arch Psychiatry Clin Neurosci. 1993;243:131–42.
doi: 10.1007/BF02190719 pubmed: 8117756
Kendler KS. Reflections on the relationship between psychiatric genetics and psychiatric nosology. Am J Psychiatry. 2006;163:1138–46.
doi: 10.1176/ajp.2006.163.7.1138 pubmed: 16816216
Kendler KS. An historical framework for psychiatric nosology. Psychol Med. 2009;39:1935–41.
pubmed: 19368761 pmcid: 2783473 doi: 10.1017/S0033291709005753
Scassellati C, Bonvicini C, Faraone SV, Gennarelli M. Biomarkers and attention-deficit/hyperactivity disorder: a systematic review and meta-analyses. J Am Acad Child Adolesc Psychiatry. 2012;51:1003–19. e1020
doi: 10.1016/j.jaac.2012.08.015 pubmed: 23021477
Okser S, Pahikkala T, Airola A, Salakoski T, Ripatti S, Aittokallio T. Regularized machine learning in the genetic prediction of complex traits. PLoS Genet. 2014;10:e1004754.
pubmed: 25393026 pmcid: 4230844 doi: 10.1371/journal.pgen.1004754
Wray NR, Yang J, Hayes BJ, Price AL, Goddard ME, Visscher PM. Pitfalls of predicting complex traits from SNPs. Nat Rev Genet. 2013;14:507–15.
pubmed: 23774735 pmcid: 4096801 doi: 10.1038/nrg3457
Levinson DF, Mostafavi S, Milaneschi Y, Rivera M, Ripke S, Wray NR, et al. Genetic studies of major depressive disorder: why are there no genome-wide association study findings and what can we do about it? Biol Psychiatry. 2014;76:510–2.
pubmed: 25201436 pmcid: 4740915 doi: 10.1016/j.biopsych.2014.07.029
Holland D, Wang Y, Thompson WK, Schork A, Chen CH, Lo MT, et al. Estimating effect sizes and expected replication probabilities from GWAS summary statistics. Front Genet. 2016;7:15.
pubmed: 26909100 pmcid: 4754432 doi: 10.3389/fgene.2016.00015
Zuk O, Schaffner SF, Samocha K, Do R, Hechter E, Kathiresan S, et al. Searching for missing heritability: designing rare variant association studies. Proc Natl Acad Sci USA. 2014;111:E455–464.
doi: 10.1073/pnas.1322563111 pubmed: 24443550 pmcid: 3910587
Moutsianas L, Agarwala V, Fuchsberger C, Flannick J, Rivas MA, Gaulton KJ, et al. The power of gene-based rare variant methods to detect disease-associated variation and test hypotheses about complex disease. PLoS Genet. 2015;11:e1005165.
pubmed: 25906071 pmcid: 4407972 doi: 10.1371/journal.pgen.1005165
Sullivan PF, Agrawal A, Bulik CM, Andreassen OA, Borglum A, Breen G et al. Psychiatric genomics: an update and an agenda. BiorXiv. 2017. https://doi.org/10.1101/115600 .
Boyle EA, Li YI, Pritchard JK. An expanded view of complex traits: from polygenic to omnigenic. Cell. 2017;169:1177–86.
pubmed: 28622505 pmcid: 5536862 doi: 10.1016/j.cell.2017.05.038
Anttila V, Bulik-Sullivan B, Finucane H, Bras J, Duncan L, Escott-Price V et al. Analysis of shared heritability in common disorders of the brain. BioRXiv. 2017. https://doi.org/10.1101/048991 .
Smoller JW. The use of electronic health records for psychiatric phenotyping and genomics. Am J Med Genet B Neuropsychiatr Genet. 2017 May 30. doi:10.1002/ajmg.b.32548. [Epub ahead of print].
doi: 10.1002/ajmg.b.32548
Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12:e1001779.
pubmed: 25826379 pmcid: 4380465 doi: 10.1371/journal.pmed.1001779
Precision Medicine Initiative (PMI) Working Group. The Precision Medicine Initiative Cohort Program—Building a Research Foundation for 21st Century Medicine September 17, 2015. https://www.nih.gov/sites/default/files/research-training/initiatives/pmi/pmi-working-group-report-20150917-2.pdf .
Bush WS, Oetjens MT, Crawford DC. Unravelling the human genome-phenome relationship using phenome-wide association studies. Nat Rev Genet. 2016;17:129–45.
doi: 10.1038/nrg.2015.36 pubmed: 26875678
Riglin L, Collishaw S, Thapar AK, Dalsgaard S, Langley K, Smith GD, et al. Association of Genetic Risk Variants With Attention-Deficit/Hyperactivity Disorder Trajectories in the General Population. JAMA Psychiatry. 2016;73:1285–92.
pubmed: 27806167 pmcid: 6485350 doi: 10.1001/jamapsychiatry.2016.2817
Gulsuner S, Walsh T, Watts AC, Lee MK, Thornton AM, Casadei S, et al. Spatial and temporal mapping of de novo mutations in schizophrenia to a fetal prefrontal cortical network. Cell. 2013;154:518–29.
pubmed: 23911319 pmcid: 3894107 doi: 10.1016/j.cell.2013.06.049
Willsey AJ, Sanders SJ, Li M, Dong S, Tebbenkamp AT, Muhle RA, et al. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism. Cell. 2013;155:997–1007.
pubmed: 24267886 pmcid: 3995413 doi: 10.1016/j.cell.2013.10.020
Niarchou M, Zammit S, Lewis G. The Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort as a resource for studying psychopathology in childhood and adolescence: a summary of findings for depression and psychosis. Soc Psychiatry Psychiatr Epidemiol. 2015;50:1017–27.
doi: 10.1007/s00127-015-1072-8 pubmed: 26002411
Mors O, Perto GP, Mortensen PB. The Danish Psychiatric Central Research Register. Scand J Public Health. 2011;39(7 Suppl):54–57.
doi: 10.1177/1403494810395825 pubmed: 21775352
Lee PH, Baker JT, Holmes AJ, Jahanshad N, Ge T, Jung JY, et al. Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia. Mol Psychiatry. 2016;21:1680–9.
pubmed: 27725656 pmcid: 5144575 doi: 10.1038/mp.2016.164
Bearden CE, Thompson PM. Emerging global initiatives in neurogenetics: the enhancing neuroimaging genetics through meta-analysis (ENIGMA) consortium. Neuron. 2017;94:232–6.
pubmed: 28426957 pmcid: 5918136 doi: 10.1016/j.neuron.2017.03.033
Cuthbert BN. Research domain criteria: toward future psychiatric nosologies. Dialogues Clin Neurosci. 2015;17:89–97.
pubmed: 25987867 pmcid: 4421905 doi: 10.31887/DCNS.2015.17.1/bcuthbert
Evans DM, Davey Smith G. Mendelian randomization: new applications in the coming age of hypothesis-free causality. Annu Rev Genom Hum Genet. 2015;16:327–50.
doi: 10.1146/annurev-genom-090314-050016
Emdin CA, Khera AV, Natarajan P, Klarin D, Zekavat SM, Hsiao AJ, et al. Genetic association of waist-to-hip ratio with cardiometabolic traits, type 2 diabetes, and coronary heart disease. JAMA. 2017;317:626–34.
pubmed: 28196256 pmcid: 5571980 doi: 10.1001/jama.2016.21042
Voight BF, Peloso GM, Orho-Melander M, Frikke-Schmidt R, Barbalic M, Jensen MK, et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet. 2012;380:572–80.
pubmed: 22607825 pmcid: 3419820 doi: 10.1016/S0140-6736(12)60312-2
Vaucher J, Keating BJ, Lasserre AM, Gan W, Lyall DM, Ward J et al. Cannabis use and risk of schizophrenia: a Mendelian randomization study. Mol Psychiatry. 2017 Jan 24. doi:10.1038/mp.2016.252. [Epub ahead of print].
pubmed: 28115737 pmcid: 5984096 doi: 10.1038/mp.2016.252
Pickrell JK, Berisa T, Liu JZ, Segurel L, Tung JY, Hinds DA. Detection and interpretation of shared genetic influences on 42 human traits. Nat Genet. 2016;48:709–17.
pubmed: 27182965 pmcid: 5207801 doi: 10.1038/ng.3570
Schaefer GB, Mendelsohn NJ, Professional P, Guidelines C. Clinical genetics evaluation in identifying the etiology of autism spectrum disorders: 2013 guideline revisions. Genet Med. 2013;15:399–407.
doi: 10.1038/gim.2013.32 pubmed: 23519317
Samocha KE, Robinson EB, Sanders SJ, Stevens C, Sabo A, McGrath LM, et al. A framework for the interpretation of de novo mutation in human disease. Nat Genet. 2014;46:944–50.
pubmed: 25086666 pmcid: 4222185 doi: 10.1038/ng.3050
Robinson EB, Samocha KE, Kosmicki JA, McGrath L, Neale BM, Perlis RH, et al. Autism spectrum disorder severity reflects the average contribution of de novo and familial influences. Proc Natl Acad Sci USA. 2014;111:15161–5.
doi: 10.1073/pnas.1409204111 pubmed: 25288738 pmcid: 4210299
Zhu X, Need AC, Petrovski S, Goldstein DB. One gene, many neuropsychiatric disorders: lessons from Mendelian diseases. Nat Neurosci. 2014;17:773–81.
doi: 10.1038/nn.3713 pubmed: 24866043
Lichtenstein P, Carlstrom E, Rastam M, Gillberg C, Anckarsater H. The genetics of autism spectrum disorders and related neuropsychiatric disorders in childhood. Am J Psychiatry. 2010;167:1357–63.
doi: 10.1176/appi.ajp.2010.10020223 pubmed: 20686188
Polderman TJ, Benyamin B, de Leeuw CA, Sullivan PF, van Bochoven A, Visscher PM, et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat Genet. 2015;47:702–9.
pubmed: 25985137 doi: 10.1038/ng.3285
Song J, Bergen SE, Kuja-Halkola R, Larsson H, Landen M, Lichtenstein P. Bipolar disorder and its relation to major psychiatric disorders: a family-based study in the Swedish population. Bipolar Disord. 2015;17:184–93.
doi: 10.1111/bdi.12242 pubmed: 25118125
Cardno AG, Rijsdijk FV, Sham PC, Murray RM, McGuffin P. A twin study of genetic relationships between psychotic symptoms. Am J Psychiatry. 2002;159:539–45.
doi: 10.1176/appi.ajp.159.4.539 pubmed: 11925290
McGuffin P, Rijsdijk F, Andrew M, Sham P, Katz R, Cardno A. The heritability of bipolar affective disorder and the genetic relationship to unipolar depression. Arch Gen Psychiatry. 2003;60:497–502.
doi: 10.1001/archpsyc.60.5.497 pubmed: 12742871
Bulik CM, Thornton LM, Root TL, Pisetsky EM, Lichtenstein P, Pedersen NL. Understanding the relation between anorexia nervosa and bulimia nervosa in a Swedish national twin sample. Biol Psychiatry. 2010;67:71–77.
pubmed: 19828139 pmcid: 2851013 doi: 10.1016/j.biopsych.2009.08.010
Mathews CA, Grados MA. Familiality of Tourette syndrome, obsessive-compulsive disorder, and attention-deficit/hyperactivity disorder: heritability analysis in a large sib-pair sample. J Am Acad Child Adolesc Psychiatry. 2011;50:46–54.
doi: 10.1016/j.jaac.2010.10.004 pubmed: 21156269
Cederlof M, Thornton LM, Baker J, Lichtenstein P, Larsson H, Ruck C, et al. Etiological overlap between obsessive-compulsive disorder and anorexia nervosa: a longitudinal cohort, multigenerational family and twin study. World Psychiatry. 2015;14:333–8.
pubmed: 26407789 pmcid: 4592656 doi: 10.1002/wps.20251
Tick B, Bolton P, Happe F, Rutter M, Rijsdijk F. Heritability of autism spectrum disorders: a meta-analysis of twin studies. J Child Psychol Psychiatry. 2016;57:585–95.
doi: 10.1111/jcpp.12499 pubmed: 26709141
Sartor CE, Grant JD, Lynskey MT, McCutcheon VV, Waldron M, Statham DJ, et al. Common heritable contributions to low-risk trauma, high-risk trauma, posttraumatic stress disorder, and major depression. Arch General Psychiatry. 2012;69:293–9.
doi: 10.1001/archgenpsychiatry.2011.1385
Stein MB, Jang KL, Taylor S, Vernon PA, Livesley WJ. Genetic and environmental influences on trauma exposure and posttraumatic stress disorder symptoms: a twin study. Am J Psychiatry. 2002;159:1675–81.
doi: 10.1176/appi.ajp.159.10.1675 pubmed: 12359672

Auteurs

Jordan W Smoller (JW)

Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. jsmoller@mgh.harvard.edu.
Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. jsmoller@mgh.harvard.edu.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. jsmoller@mgh.harvard.edu.

Ole A Andreassen (OA)

NORMENT-KG Jebsen Centre, University of Oslo, Oslo, Norway.
Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.

Howard J Edenberg (HJ)

Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.

Stephen V Faraone (SV)

Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.

Stephen J Glatt (SJ)

Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.

Kenneth S Kendler (KS)

Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.

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