References
1.
Abdellaoui A, Verweij KJH. Genetica en
psychiatrie. Tijdschr Psychiatr. 2022;64(5):260–5.
2.
Abé
C, Ching CRK, Liberg B, Lebedev AV, Agartz I, Akudjedu TN, et al. Longitudinal
Structural Brain Changes in Bipolar Disorder:
A Multicenter Neuroimaging Study of 1232
Individuals by the ENIGMA Bipolar Disorder
Working Group. Biol Psychiatry. 2022 Mar
15;91(6):582–92.
3.
Akiki TJ, Averill CL, Abdallah CG. A
Network-Based Neurobiological Model of PTSD:
Evidence From Structural and Functional Neuroimaging
Studies. Current Psychiatry Reports [Internet]. 2017 Sep
19;19(11):81. Available from: https://doi.org/10.1007/s11920-017-0840-4
4.
Alfaro-Almagro F, Jenkinson M, Bangerter NK,
Andersson JLR, Griffanti L, Douaud G, et al. Image processing and
Quality Control for the first 10,000 brain imaging datasets
from UK Biobank. NeuroImage [Internet]. 2018 Feb
1;166:400–24. Available from: https://www.sciencedirect.com/science/article/pii/S1053811917308613
5.
Allsopp K, Read J, Corcoran R, Kinderman P.
Heterogeneity in psychiatric diagnostic classification. Psychiatry
Research [Internet]. 2019 Sep 1;279:15–22. Available from: https://www.sciencedirect.com/science/article/pii/S0165178119309114
6.
Alnæs D, Kaufmann T, Doan NT, Córdova-Palomera
A, Wang Y, Bettella F, et al. Association of Heritable Cognitive
Ability and Psychopathology With White Matter
Properties in Children and Adolescents.
JAMA Psychiatry [Internet]. 2018 Mar 1 [cited 2022 Apr 19];75(3):287–95.
Available from: https://doi.org/10.1001/jamapsychiatry.2017.4277
7.
Alnæs D, Kaufmann T, van der Meer D,
Córdova-Palomera A, Rokicki J, Moberget T, et al. Brain
Heterogeneity in Schizophrenia and Its
Association With Polygenic Risk. JAMA Psychiatry. 2019 Jul
1;76(7):739–48.
8.
Altshuler D, Donnelly P, The International
HapMap Consortium. A haplotype map of the human genome. Nature
[Internet]. 2005 Oct 1;437(7063):1299–320. Available from: https://doi.org/10.1038/nature04226
9.
American Psychiatric Association, American
Psychiatric Association. DSM-5 Task Force, editors. Diagnostic and
statistical manual of mental disorders : DSM-5. Arlington,
VA: American Psychiatric Association; 2013.
10.
Andreasen NC. Brain imaging:
Applications in psychiatry. Science. 1988 Mar 18;239(4846):1381–8.
11.
Andreasen NC. A Unitary Model of
Schizophrenia: Bleuler’s "Fragmented
Phrene" as Schizencephaly. Archives of General
Psychiatry [Internet]. 1999 Sep 1 [cited 2022 Apr 19];56(9):781–7.
Available from: https://doi.org/10.1001/archpsyc.56.9.781
12.
Andreasen NC. A Unitary Model of
Schizophrenia: Bleuler’s "Fragmented
Phrene" as Schizencephaly. Archives of General
Psychiatry [Internet]. 1999 Sep 1 [cited 2022 Jun 2];56(9):781–7.
Available from: https://doi.org/10.1001/archpsyc.56.9.781
13.
Andreassen OA, Thompson WK, Schork AJ, Ripke S,
Mattingsdal M, Kelsoe JR, et al. Improved Detection of
Common Variants Associated with Schizophrenia
and Bipolar Disorder Using Pleiotropy-Informed Conditional False
Discovery Rate. PLOS Genetics [Internet]. 2013 Apr
25;9(4):e1003455. Available from: https://doi.org/10.1371/journal.pgen.1003455
14.
Andreassen OA, McEvoy LK, Thompson WK, Wang Y,
Reppe S, Schork AJ, et al. Identifying common genetic variants in blood
pressure due to polygenic pleiotropy with associated phenotypes.
Hypertension [Internet]. 2014/01/06 ed. 2014 Apr;63(4):819–26. Available
from: https://pubmed.ncbi.nlm.nih.gov/24396023
15.
Anney RJL, Ripke S, Anttila V, Grove J, Holmans
P, Huang H, et al. Meta-analysis of GWAS of over 16,000
individuals with autism spectrum disorder highlights a novel locus at
10q24.32 and a significant overlap with schizophrenia. Molecular Autism
[Internet]. 2017 May 22;8(1):21. Available from: https://doi.org/10.1186/s13229-017-0137-9
16.
Anttila V, Bulik-Sullivan B, Finucane HK,
Walters RK, Bras J, Duncan L, et al. Analysis of shared
heritability in common disorders of the brain. Science. 2018 Jun
22;360(6395).
17.
Anttila V, Bulik-Sullivan B, Finucane HK,
Walters RK, Bras J, Duncan L, et al. Analysis of shared
heritability in common disorders of the brain. Science. 2018 Jun
22;360(6395).
18.
Bahcall OG. UK Biobank — a new era
in genomic medicine. Nature Reviews Genetics [Internet]. 2018 Dec
1;19(12):737–7. Available from: https://doi.org/10.1038/s41576-018-0065-3
19.
Balsamo M, Cataldi F, Carlucci L, Fairfield B.
Assessment of anxiety in
older adults: A review of self-report measures. Clin Interv Aging.
2018;13:573–93.
20.
Banerjee A, Chaudhury S. Statistics without
tears: Populations and samples. Ind Psychiatry J
[Internet]. 2010 Jan;19(1):60–5. Available from: https://pubmed.ncbi.nlm.nih.gov/21694795
21.
Barbaro N, Boutwell BB, Barnes JC, Shackelford
TK. Genetic confounding of the relationship between father absence and
age at menarche. Evolution and Human Behavior [Internet]. 2017 May
1;38(3):357–65. Available from: https://www.sciencedirect.com/science/article/pii/S1090513816303671
22.
Baselmans BML, Willems YE, van Beijsterveldt
CEM, Ligthart L, Willemsen G, Dolan CV, et al. Unraveling the
Genetic and Environmental Relationship Between
Well-Being and Depressive Symptoms Throughout the
Lifespan. Frontiers in Psychiatry [Internet]. 2018;9.
Available from: https://www.frontiersin.org/article/10.3389/fpsyt.2018.00261
23.
Baselmans BML, Yengo L, van Rheenen W, Wray NR.
Risk in Relatives, Heritability,
SNP-Based Heritability, and Genetic
Correlations in Psychiatric Disorders: A
Review. Biological Psychiatry [Internet]. 2021 Jan 1 [cited 2022
Apr 20];89(1):11–9. Available from: https://doi.org/10.1016/j.biopsych.2020.05.034
24.
Beckmann CF, Smith SM. Probabilistic independent
component analysis for functional magnetic resonance imaging. IEEE
Trans Med Imaging. 2004 Feb;23(2):137–52.
25.
Blake GE, Watson ED. Unravelling the complex
mechanisms of transgenerational epigenetic inheritance. Current Opinion
in Chemical Biology [Internet]. 2016 Aug 1;33:101–7. Available from: https://www.sciencedirect.com/science/article/pii/S1367593116300849
26.
Boef N, Brunier Q, Knowles I, Malowany A, May
J, Mills MC, et al. Source code for the GWAS diversity
monitor [Internet]. Zenodo; 2020. Available from: https://doi.org/10.5281/zenodo.3600472
27.
Border R, Johnson EC, Evans LM, Smolen A,
Berley N, Sullivan PF, et al. No Support for
Historical Candidate Gene or Candidate
Gene-by-Interaction Hypotheses for Major Depression Across
Multiple Large Samples. AJP [Internet]. 2019 May 1 [cited 2022
May 10];176(5):376–87. Available from: https://doi.org/10.1176/appi.ajp.2018.18070881
28.
Border R, Johnson EC, Evans LM, Smolen A,
Berley N, Sullivan PF, et al. No
Support for Historical Candidate Gene or Candidate Gene-by-Interaction Hypotheses for
Major Depression Across Multiple Large Samples. Am J
Psychiatry. 2019 May 1;176(5):376–87.
29.
Bosker FJ, Hartman CA, Nolte IM, Prins BP,
Terpstra P, Posthuma D, et al. Poor replication of candidate genes for
major depressive disorder using genome-wide association data. Molecular
Psychiatry [Internet]. 2011 May 1;16(5):516–32. Available from: https://doi.org/10.1038/mp.2010.38
30.
Brakowski J, Spinelli S, Dörig N, Bosch OG,
Manoliu A, Holtforth MG, et al. Resting state brain network function in
major depression – Depression symptomatology,
antidepressant treatment effects, future research. Journal of
Psychiatric Research [Internet]. 2017 Sep 1;92:147–59. Available from:
https://www.sciencedirect.com/science/article/pii/S002239561630752X
31.
Branigan AR, McCallum KJ, Freese J. Variation
in the Heritability of Educational Attainment:
An International Meta-Analysis. Social Forces [Internet].
2013 Sep 1 [cited 2022 May 29];92(1):109–40. Available from: https://doi.org/10.1093/sf/sot076
32.
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 [Internet]. 2016 Oct
26;19(11):1392–6. Available from: https://pubmed.ncbi.nlm.nih.gov/27786187
33.
Breen G, Coleman J, Gaspar HA. Psychiatric
Genomics Consortium: From Gwas Findings To Drug
Targets. European Neuropsychopharmacology [Internet]. 2019 Jan
1;29:S768. Available from: https://www.sciencedirect.com/science/article/pii/S0924977X17304054
34.
Brumpton BM, Graham S, Surakka I, Skogholt AH,
Løset M, Fritsche LG, et al. The HUNT Study: A
population-based cohort for genetic research. medRxiv [Internet]. 2021
Jan 1;2021.12.23.21268305. Available from: http://medrxiv.org/content/early/2021/12/25/2021.12.23.21268305.abstract
35.
Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke
S, Yang J, Patterson N, et al. LD Score regression
distinguishes confounding from polygenicity in genome-wide association
studies. Nature Genetics [Internet]. 2015 Mar 1;47(3):291–5. Available
from: https://doi.org/10.1038/ng.3211
36.
Bulik-Sullivan B, Finucane HK, Anttila V, Gusev
A, Day FR, Loh PR, et al. An atlas of genetic correlations across human
diseases and traits. Nature Genetics [Internet]. 2015 Nov
1;47(11):1236–41. Available from: https://doi.org/10.1038/ng.3406
37.
Bycroft C, Freeman C, Petkova D, Band G,
Elliott LT, Sharp K, et al. The UK Biobank resource with
deep phenotyping and genomic data. Nature [Internet]. 2018 Oct
1;562(7726):203–9. Available from: https://doi.org/10.1038/s41586-018-0579-z
38.
Bycroft C, Freeman C, Petkova D, Band G,
Elliott LT, Sharp K, et al. The UK
Biobank resource with deep phenotyping and genomic data.
Nature. 2018 Oct;562(7726):203–9.
39.
Canela-Xandri O, Rawlik K, Tenesa A. An atlas
of genetic associations in UK Biobank. Nature Genetics
[Internet]. 2018 Nov 1;50(11):1593–9. Available from: https://doi.org/10.1038/s41588-018-0248-z
40.
Casey BJ, Cannonier T, Conley MI, Cohen AO,
Barch DM, Heitzeg MM, et al. The Adolescent Brain Cognitive
Development (ABCD) study: Imaging
acquisition across 21 sites. Developmental Cognitive Neuroscience
[Internet]. 2018 Aug 1;32:43–54. Available from: https://www.sciencedirect.com/science/article/pii/S1878929317301214
41.
Caspi A, Houts RM, Belsky DW, Goldman-Mellor
SJ, Harrington H, Israel S, et al. The p Factor: One
General Psychopathology Factor in the Structure of
Psychiatric Disorders? Clin Psychol Sci [Internet]. 2014
Mar;2(2):119–37. Available from: https://pubmed.ncbi.nlm.nih.gov/25360393
42.
Caspi A, Moffitt TE. All for One
and One for All: Mental Disorders
in One Dimension. Am J Psychiatry [Internet]. 2018/04/06
ed. 2018 Sep 1;175(9):831–44. Available from: https://pubmed.ncbi.nlm.nih.gov/29621902
43.
Chang CC, Chow CC, Tellier LC, Vattikuti S,
Purcell SM, Lee JJ. Second-generation PLINK: Rising to the
challenge of larger and richer datasets. Gigascience [Internet]. 2015
Feb 25;4:7–7. Available from: https://pubmed.ncbi.nlm.nih.gov/25722852
44.
Chen CH, Suckling J, Lennox BR, Ooi C, Bullmore
ET. A
quantitative meta-analysis of fMRI studies
in bipolar disorder. Bipolar Disord. 2011 Feb;13(1):1–15.
45.
Cheverud JM. A Comparison of
Genetic and Phenotypic Correlations. Evolution
[Internet]. 1988 [cited 2022 Apr 11];42(5):958–68. Available from: http://www.jstor.org/stable/2408911
46.
Ching CRK, Hibar DP, Gurholt TP, Nunes A,
Thomopoulos SI, Abé C, et al. What we learn about bipolar
disorder from large-scale neuroimaging: Findings and future
directions from the ENIGMA Bipolar Disorder Working
Group. Hum Brain Mapp. 2022 Jan;43(1):56–82.
47.
Chisholm D, Flisher AJ, Lund C, Patel V, Saxena
S, Thornicroft G, et al. Scale up services
for mental disorders: A call for action. Lancet. 2007 Oct
6;370(9594):1241–52.
48.
Chow JCC, Jaffee K, Snowden L.
Racial/Ethnic Disparities in the Use of
Mental Health Services in Poverty Areas. Am J
Public Health [Internet]. 2003 May 1 [cited 2022 Apr 19];93(5):792–7.
Available from: https://doi.org/10.2105/AJPH.93.5.792
49.
Cichon S, Craddock N, Daly M, Faraone SV,
Gejman PV, Kelsoe J, et al. Genomewide
association studies: History, rationale, and prospects for psychiatric
disorders. Am J Psychiatry. 2009 May;166(5):540–56.
50.
Clark G, Cummins N. Surnames and Social
Mobility in England, 1170–2012. Human Nature
[Internet]. 2014 Dec 1;25(4):517–37. Available from: https://doi.org/10.1007/s12110-014-9219-y
51.
Conroy M, Sellors J, Effingham M, Littlejohns
TJ, Boultwood C, Gillions L, et al. The advantages of UK
Biobank’s open-access strategy for health research. J Intern Med
[Internet]. 2019/08/02 ed. 2019 Oct;286(4):389–97. Available from: https://pubmed.ncbi.nlm.nih.gov/31283063
52.
Cox
N, Webb L. Poles
apart: Does the export of mental health expertise from the Global
North to the Global South represent a neutral
relocation of knowledge and practice? Sociol Health Illn. 2015
Jun;37(5):683–97.
53.
Craddock N, Owen MJ. The
Kraepelinian dichotomy – going, going … but still not gone.
British Journal of Psychiatry [Internet]. 2018/01/02 ed.
2010;196(2):92–5. Available from: https://www.cambridge.org/core/article/kraepelinian-dichotomy-going-going-but-still-not-gone/9BD6BEDF610DD5C7E7F376518CB515A0
54.
Davis KAS, Coleman JRI, Adams M, Allen N, Breen
G, Cullen B, et al. Mental health in UK Biobank -
development, implementation and results from an online questionnaire
completed by 157 366 participants: A reanalysis. BJPsych Open
[Internet]. 2020 Feb 6;6(2):e18–8. Available from: https://pubmed.ncbi.nlm.nih.gov/32026800
55.
Dean C, Scholl FG, Choih J, DeMaria S, Berger
J, Isacoff E, et al. Neurexin
mediates the assembly of presynaptic terminals. Nat Neurosci. 2003
Jul;6(7):708–16.
56.
Dean C, Liu H, Dunning FM, Chang PY, Jackson
MB, Chapman ER. Synaptotagmin-IV
modulates synaptic function and long-term potentiation by regulating
BDNF release. Nat Neurosci. 2009 Jun;12(6):767–76.
57.
de
Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA:
Generalized Gene-Set Analysis of GWAS Data.
PLOS Computational Biology [Internet]. 2015 Apr 17;11(4):e1004219.
Available from: https://doi.org/10.1371/journal.pcbi.1004219
58.
Demontis D, Walters RK, Martin J, Mattheisen M,
Als TD, Agerbo E, et al. Discovery of the first genome-wide significant
risk loci for attention deficit/hyperactivity disorder. Nature Genetics
[Internet]. 2019 Jan 1;51(1):63–75. Available from: https://doi.org/10.1038/s41588-018-0269-7
59.
Devor A, Andreassen OA, Wang Y, Mäki-Marttunen
T, Smeland OB, Fan CC, et al. Genetic evidence for role of integration
of fast and slow neurotransmission in schizophrenia. Molecular
Psychiatry [Internet]. 2017 Jun 1;22(6):792–801. Available from: https://doi.org/10.1038/mp.2017.33
60.
Dite GS, Murphy NM, Allman R. An integrated
clinical and genetic model for predicting risk of severe
COVID-19: A population-based case–control
study. PLOS ONE [Internet]. 2021 Feb 16;16(2):e0247205. Available from:
https://doi.org/10.1371/journal.pone.0247205
61.
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. Molecular Psychiatry
[Internet]. 2018 Mar 1;23(3):666–73. Available from: https://doi.org/10.1038/mp.2017.77
62.
Dutt RK, Hannon K, Easley TO, Griffis JC, Zhang
W, Bijsterbosch JD. Mental
health in the UK Biobank: A roadmap to
self-report measures and neuroimaging correlates. Hum Brain Mapp.
2022 Feb 1;43(2):816–32.
63.
Elliott LT, Sharp K, Alfaro-Almagro F, Shi S,
Miller KL, Douaud G, et al. Genome-wide association studies of brain
imaging phenotypes in UK Biobank. Nature [Internet]. 2018
Oct 1;562(7726):210–6. Available from: https://doi.org/10.1038/s41586-018-0571-7
64.
Etkin A, Wager TD. Functional
neuroimaging of anxiety: A meta-analysis of emotional processing in
PTSD, social anxiety disorder, and specific phobia. Am
J Psychiatry. 2007 Oct;164(10):1476–88.
65.
Fatumo S, Chikowore T, Choudhury A, Ayub M,
Martin AR, Kuchenbaecker K. A roadmap to increase diversity in genomic
studies. Nature Medicine [Internet]. 2022 Feb 1;28(2):243–50. Available
from: https://doi.org/10.1038/s41591-021-01672-4
66.
Fergusson DM, Horwood LJ, Woodward LJ. The stability of child
abuse reports: A longitudinal study of the reporting behaviour of young
adults. Psychol Med. 2000 May;30(3):529–44.
67.
FinnGen. FinnGen documentation of
R6 release [Internet]. 2022. Available from: https://finngen.gitbook.io/documentation/
68.
Finucane HK, Bulik-Sullivan B, Gusev A, Trynka
G, Reshef Y, Loh PR, et al. Partitioning heritability by functional
annotation using genome-wide association summary statistics. Nature
Genetics [Internet]. 2015 Nov 1;47(11):1228–35. Available from: https://doi.org/10.1038/ng.3404
69.
Finucane HK, Bulik-Sullivan B, Gusev A, Trynka
G, Reshef Y, Loh PR, et al. Partitioning heritability by functional
annotation using genome-wide association summary statistics. Nature
Genetics [Internet]. 2015 Nov 1;47(11):1228–35. Available from: https://doi.org/10.1038/ng.3404
70.
Fiscella K, Williams DR. Health
disparities based on socioeconomic inequities: Implications for urban
health care. Acad Med. 2004 Dec;79(12):1139–47.
71.
Fofana MO. The spectre of race in
American medicine. Med Humanit. 2013 Dec
1;39(2):137–41.
72.
Fogelman N, Canli T. Early Life
Stress, Physiology, and Genetics:
A Review. Frontiers in Psychology [Internet]. 2019;10.
Available from: https://www.frontiersin.org/article/10.3389/fpsyg.2019.01668
73.
Franklin RE, Gosling RG. Evidence for
2-Chain Helix in Crystalline Structure of
Sodium Deoxyribonucleate. Nature [Internet]. 1953 Jul
1;172(4369):156–7. Available from: https://doi.org/10.1038/172156a0
74.
Frei O, Holland D, Smeland OB, Shadrin AA, Fan
CC, Maeland S, et al. Bivariate causal mixture model quantifies
polygenic overlap between complex traits beyond genetic correlation.
Nature Communications [Internet]. 2019 Jun 3;10(1):2417. Available from:
https://doi.org/10.1038/s41467-019-10310-0
75.
Frei O, Holland D, Smeland OB, Shadrin AA, Fan
CC, Maeland S, et al. Bivariate causal mixture model quantifies
polygenic overlap between complex traits beyond genetic correlation.
Nature Communications [Internet]. 2019 Jun 3;10(1):2417. Available from:
https://doi.org/10.1038/s41467-019-10310-0
76.
Friston K, Brown HR, Siemerkus J, Stephan KE.
The dysconnection
hypothesis (2016). Schizophr Res. 2016 Oct;176(2-3):83–94.
77.
Fry
A, Littlejohns TJ, Sudlow C, Doherty N, Adamska L, Sprosen T, et al. Comparison of
Sociodemographic and Health-Related
Characteristics of UK Biobank Participants With
Those of the General Population. Am J Epidemiol.
2017 Nov 1;186(9):1026–34.
78.
Gandal MJ, Geschwind DH. Polygenicity in
Psychiatry-Like It or Not, We
Have to Understand It. Biol Psychiatry. 2021 Jan
1;89(1):2–4.
79.
Gao
Y, Shuai D, Bu X, Hu X, Tang S, Zhang L, et al. Impairments of
large-scale functional networks in attention-deficit/hyperactivity
disorder: A meta-analysis of resting-state functional connectivity.
Psychological Medicine [Internet]. 2019/09/10 ed. 2019;49(15):2475–85.
Available from: https://www.cambridge.org/core/article/impairments-of-largescale-functional-networks-in-attentiondeficithyperactivity-disorder-a-metaanalysis-of-restingstate-functional-connectivity/ED6EE39749D1CA6CA4DEF639C00711D2
80.
Gillespie M, Jassal B, Stephan R, Milacic M,
Rothfels K, Senff-Ribeiro A, et al. The reactome pathway knowledgebase
2022. Nucleic Acids Research [Internet]. 2022 Jan 7 [cited 2022 Apr
12];50(D1):D687–92. Available from: https://doi.org/10.1093/nar/gkab1028
81.
Gjerde LC, Røysamb E, Czajkowski N,
Reichborn-Kjennerud T, Ørstavik RE, Kendler KS, et al. Strong
Genetic Correlation Between Interview-Assessed Internalizing
Disorders and a Brief Self-Report Symptom Scale.
Twin Research and Human Genetics [Internet]. 2012/02/21 ed.
2011;14(1):64–72. Available from: https://www.cambridge.org/core/article/strong-genetic-correlation-between-interviewassessed-internalizing-disorders-and-a-brief-selfreport-symptom-scale/B3B1AAFF7F03747929C2978691D1C3BA
82.
Griffanti L, Salimi-Khorshidi G, Beckmann CF,
Auerbach EJ, Douaud G, Sexton CE, et al. ICA-based artefact removal and accelerated fMRI acquisition for improved resting state
network imaging. Neuroimage. 2014 Jul 15;95:232–47.
83.
Grossniklaus U, Kelly WG, Ferguson-Smith AC,
Pembrey M, Lindquist S. Transgenerational epigenetic inheritance: How
important is it? Nature Reviews Genetics [Internet]. 2013 Mar
1;14(3):228–35. Available from: https://doi.org/10.1038/nrg3435
84.
Grotzinger AD. Shared genetic
architecture across psychiatric disorders. Psychol Med. 2021
Oct;51(13):2210–6.
85.
Grove J, Ripke S, Als TD, Mattheisen M, Walters
RK, Won H, et al. Identification of common genetic risk variants for
autism spectrum disorder. Nature Genetics [Internet]. 2019 Mar
1;51(3):431–44. Available from: https://doi.org/10.1038/s41588-019-0344-8
86.
Guido van Rossum, Fred L Drake Jr. Python
reference manual. Centrum voor Wiskunde en Informatica Amsterdam; 1995.
87.
Guido van Rossum, Fred L Drake Jr. Python 3
Reference Manual. Scotts Valley, CA: CreateSpace; 2009.
88.
Gusella JF, Wexler NS, Conneally PM, Naylor SL,
Anderson MA, Tanzi RE, et al. A polymorphic DNA marker
genetically linked to Huntington’s disease. Nature
[Internet]. 1983 Nov 1;306(5940):234–8. Available from: https://doi.org/10.1038/306234a0
89.
Hagenaars SP, Harris SE, Davies G, Hill WD,
Liewald DCM, Ritchie SJ, et al. Shared genetic aetiology between
cognitive functions and physical and mental health in UK
Biobank (N=112 151) and 24 GWAS
consortia. Molecular Psychiatry [Internet]. 2016 Nov 1;21(11):1624–32.
Available from: https://doi.org/10.1038/mp.2015.225
90.
Haukvik UK, Hartberg CB, Agartz I. Schizophrenia–what does
structural MRI show? Tidsskr Nor Laegeforen. 2013 Apr
23;133(8):850–3.
91.
Hibar DP, Westlye LT, Doan NT, Jahanshad N,
Cheung JW, Ching CRK, et al. Cortical abnormalities in
bipolar disorder: An MRI analysis of 6503 individuals from
the ENIGMA Bipolar Disorder Working Group. Mol
Psychiatry. 2018 Apr;23(4):932–42.
92.
Hilker R, Helenius D, Fagerlund B, Skytthe A,
Christensen K, Werge TM, et al. Heritability of
Schizophrenia and Schizophrenia Spectrum Based
on the Nationwide Danish Twin Register. Biol
Psychiatry. 2018 Mar 15;83(6):492–8.
93.
Himberg J, Hyvärinen A, Esposito F. Validating the
independent components of neuroimaging time series via clustering and
visualization. Neuroimage. 2004 Jul;22(3):1214–22.
94.
Hoehe MR, Morris-Rosendahl DJ. The role of
genetics and genomics in clinical psychiatry. Dialogues Clin
Neurosci. 2018 Sep;20(3):169–77.
95.
Hong SJ, Vos de Wael R, Bethlehem RAI,
Lariviere S, Paquola C, Valk SL, et al. Atypical functional connectome
hierarchy in autism. Nature Communications [Internet]. 2019 Mar
4;10(1):1022. Available from: https://doi.org/10.1038/s41467-019-08944-1
96.
Horwitz T, Lam K, Chen Y, Xia Y, Liu C. A decade in psychiatric
GWAS research. Mol Psychiatry. 2019 Mar;24(3):378–89.
97.
Howard DM, Adams MJ, Shirali M, Clarke TK,
Marioni RE, Davies G, et al. Genome-wide association study of depression
phenotypes in UK Biobank identifies variants in excitatory
synaptic pathways. Nature Communications [Internet]. 2018 Apr
16;9(1):1470. Available from: https://doi.org/10.1038/s41467-018-03819-3
98.
Howard DM, Adams MJ, Clarke TK, Hafferty JD,
Gibson J, Shirali M, et al. Genome-wide meta-analysis of depression
identifies 102 independent variants and highlights the importance of the
prefrontal brain regions. Nat Neurosci [Internet]. 2019/02/04 ed. 2019
Mar;22(3):343–52. Available from: https://pubmed.ncbi.nlm.nih.gov/30718901
99.
Huda AS. Reliability of diagnosis. In Oxford,
UK: Oxford University Press; 2019. Available from: https://oxfordmedicine.com/view/10.1093/med/9780198807254.001.0001/med-9780198807254-chapter-8
100.
J.
Himberg, A. Hyvarinen. Icasso: Software for
investigating the reliability of ICA estimates by
clustering and visualization. In: 2003 IEEE XIII
Workshop on Neural Networks for Signal
Processing (IEEE Cat
No03TH8718). 17AD–2003. p. 259–68.
101.
Jamshidi J, Schofield PR, Gatt JM, Fullerton
JM. Phenotypic and genetic analysis of a wellbeing factor score in the
UK Biobank and the impact of childhood maltreatment and
psychiatric illness. Translational Psychiatry [Internet]. 2022 Mar
19;12(1):113. Available from: https://doi.org/10.1038/s41398-022-01874-5
102.
Jassal B, Matthews L, Viteri G, Gong C, Lorente
P, Fabregat A, et al. The
reactome pathway knowledgebase. Nucleic Acids Res. 2020 Jan
8;48(D1):D498–503.
103.
Jelenkovic A, Sund R, Hur YM, Yokoyama Y,
Hjelmborg JvB, Möller S, et al. Genetic and environmental influences on
height from infancy to early adulthood: An individual-based
pooled analysis of 45 twin cohorts. Scientific Reports [Internet]. 2016
Jun 23;6(1):28496. Available from: https://doi.org/10.1038/srep28496
104.
Jenkinson M, Bannister P, Brady M, Smith S. Improved
optimization for the robust and accurate linear registration and motion
correction of brain images. Neuroimage. 2002 Oct;17(2):825–41.
105.
Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich
MW, Smith SM. FSL. NeuroImage [Internet]. 2012 Aug
15;62(2):782–90. Available from: https://www.sciencedirect.com/science/article/pii/S1053811911010603
106.
Johnson EC, Border R, Melroy-Greif WE, de Leeuw
CA, Ehringer MA, Keller MC. No Evidence That Schizophrenia
Candidate Genes Are More Associated With Schizophrenia Than Noncandidate
Genes. Biological Psychiatry [Internet]. 2017 Nov
15;82(10):702–8. Available from: https://www.sciencedirect.com/science/article/pii/S0006322317317729
107.
Keshavan MS, Collin G, Guimond S, Kelly S,
Prasad KM, Lizano P. Neuroimaging in
Schizophrenia. Neuroimaging Clin N Am. 2020
Feb;30(1):73–83.
108.
Kessler RC, Berglund P, Demler O, Jin R,
Merikangas KR, Walters EE. Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV
Disorders in the National Comorbidity Survey
Replication. Archives of General Psychiatry [Internet]. 2005 Jun
1 [cited 2022 Apr 13];62(6):593–602. Available from: https://doi.org/10.1001/archpsyc.62.6.593
109.
Kessler RC, Avenevoli S, McLaughlin KA, Green
JG, Lakoma MD, Petukhova M, et al. Lifetime co-morbidity of
DSM-IV disorders in the US National Comorbidity
Survey Replication Adolescent Supplement (NCS-A).
Psychol Med [Internet]. 2012/01/25 ed. 2012 Sep;42(9):1997–2010.
Available from: https://pubmed.ncbi.nlm.nih.gov/22273480
110.
Koopmans F, van Nierop P, Andres-Alonso M,
Byrnes A, Cijsouw T, Coba MP, et al. SynGO: An
Evidence-Based, Expert-Curated Knowledge Base for
the Synapse. Neuron [Internet]. 2019 Jul
17;103(2):217–234.e4. Available from: https://www.sciencedirect.com/science/article/pii/S0896627319304271
111.
Kotov R, Krueger RF, Watson D. A paradigm shift
in psychiatric classification: The Hierarchical Taxonomy Of
Psychopathology (HiTOP). World Psychiatry
[Internet]. 2018 Feb;17(1):24–5. Available from: https://pubmed.ncbi.nlm.nih.gov/29352543
112.
Lander ES, Linton LM, Birren B, Nusbaum C, Zody
MC, Baldwin J, et al. Initial
sequencing and analysis of the human genome. Nature. 2001 Feb
15;409(6822):860–921.
113.
Larsson SC, Carter P, Kar S, Vithayathil M,
Mason AM, Michaëlsson K, et al. Smoking, alcohol
consumption, and cancer: A mendelian randomisation study in
UK Biobank and international genetic consortia
participants. PLoS Med. 2020 Jul;17(7):e1003178.
114.
Lee SH, Ripke S, Neale BM, Faraone SV, Purcell
SM, Perlis RH, et al. Genetic relationship between five psychiatric
disorders estimated from genome-wide SNPs. Nature Genetics
[Internet]. 2013 Sep 1;45(9):984–94. Available from: https://doi.org/10.1038/ng.2711
115.
Lee PH, Feng YCA, Smoller JW. Pleiotropy and
Cross-Disorder Genetics Among Psychiatric Disorders.
Biol Psychiatry. 2021 Jan 1;89(1):20–31.
116.
Lerch JP, van der Kouwe AJW, Raznahan A, Paus
T, Johansen-Berg H, Miller KL, et al. Studying neuroanatomy using
MRI. Nat Neurosci. 2017 Feb 23;20(3):314–26.
117.
Lux V, Kendler KS. Deconstructing major
depression: A validation study of the DSM-IV symptomatic
criteria. Psychol Med [Internet]. 2010/01/11 ed. 2010
Oct;40(10):1679–90. Available from: https://pubmed.ncbi.nlm.nih.gov/20059797
118.
Maher B. Personal genomes: The
case of the missing heritability. Nature [Internet]. 2008 Nov
1;456(7218):18–21. Available from: https://doi.org/10.1038/456018a
119.
Manolio TA, Collins FS, Cox NJ, Goldstein DB,
Hindorff LA, Hunter DJ, et al. Finding the missing heritability of
complex diseases. Nature [Internet]. 2009 Oct 8;461(7265):747–53.
Available from: https://pubmed.ncbi.nlm.nih.gov/19812666
120.
Martinelli C, Shergill SS. Everything you
wanted to know about neuroimaging and psychiatry, but were afraid to
ask. BJPsych Advances [Internet]. 2018/01/02 ed. 2015;21(4):251–60.
Available from: https://www.cambridge.org/core/article/everything-you-wanted-to-know-about-neuroimaging-and-psychiatry-but-were-afraid-to-ask/F4E6EF4CBDB015999576E401CC5DF7F7
121.
Maximo JO, Cadena EJ, Kana RK. The implications of
brain connectivity in the neuropsychology of autism. Neuropsychol
Rev. 2014 Mar;24(1):16–31.
122.
McGrath JJ, Lim CCW, Plana-Ripoll O, Holtz Y,
Agerbo E, Momen NC, et al. Comorbidity within
mental disorders: A comprehensive analysis based on 145 990 survey
respondents from 27 countries. Epidemiol Psychiatr Sci. 2020 Aug
12;29:e153.
123.
Miller KL, Alfaro-Almagro F, Bangerter NK,
Thomas DL, Yacoub E, Xu J, et al. Multimodal population brain imaging in
the UK Biobank prospective epidemiological study. Nature
Neuroscience [Internet]. 2016 Nov 1;19(11):1523–36. Available from: https://doi.org/10.1038/nn.4393
124.
Mills MC, Rahal C. A scientometric review of
genome-wide association studies. Communications Biology [Internet]. 2019
Jan 7;2(1):9. Available from: https://doi.org/10.1038/s42003-018-0261-x
125.
Mills MC, Rahal C. The GWAS Diversity
Monitor tracks diversity by disease in real time. Nature Genetics
[Internet]. 2020 Mar 1;52(3):242–3. Available from: https://doi.org/10.1038/s41588-020-0580-y
126.
Mochcovitch MD, da Rocha Freire RC, Garcia RF,
Nardi AE. A systematic review of fMRI
studies in generalized anxiety disorder: Evaluating its
neural and cognitive basis. Journal of Affective Disorders [Internet].
2014 Oct 1;167:336–42. Available from: https://www.sciencedirect.com/science/article/pii/S0165032714004091
127.
Morton NE. Sequential tests for the detection
of linkage. Am J Hum Genet [Internet]. 1955 Sep;7(3):277–318. Available
from: https://pubmed.ncbi.nlm.nih.gov/13258560
128.
Mullins N, Forstner AJ, O’Connell KS, Coombes
B, Coleman JRI, Qiao Z, et al. Genome-wide association study of more
than 40,000 bipolar disorder cases provides new insights into the
underlying biology. Nature Genetics [Internet]. 2021 Jun 1;53(6):817–29.
Available from: https://doi.org/10.1038/s41588-021-00857-4
129.
Mullins N, Working Group of the Psychiatric
Genomics Consortium BD. Biological Insights Into Bipolar Disorder
From Genome-Wide Association Study of Over 40,000
Cases. Biological Psychiatry [Internet]. 2021 May 1 [cited
2022 Apr 20];89(9):S62–3. Available from: https://doi.org/10.1016/j.biopsych.2021.02.172
130.
Murray GK, Lin T, Austin J, McGrath JJ, Hickie
IB, Wray NR. Could
Polygenic Risk Scores Be Useful in
Psychiatry?: A Review. JAMA Psychiatry.
2021 Feb 1;78(2):210–9.
131.
Mwansisya TE, Hu A, Li Y, Chen X, Wu G, Huang
X, et al. Task
and resting-state fMRI studies in
first-episode schizophrenia: A systematic review.
Schizophr Res. 2017 Nov;189:9–18.
132.
Ni
G, Moser G, Schizophrenia Working Group of the Psychiatric Genomics
Consortium, Wray NR, Lee SH. Estimation of Genetic
Correlation via Linkage Disequilibrium Score
Regression and Genomic Restricted Maximum
Likelihood. Am J Hum Genet [Internet]. 2018/05/10 ed. 2018 Jun
7;102(6):1185–94. Available from: https://pubmed.ncbi.nlm.nih.gov/29754766
133.
Nolte IM, van der Most PJ, Alizadeh BZ, de
Bakker PI, Boezen HM, Bruinenberg M, et al. Missing heritability: Is the
gap closing? An analysis of 32 complex traits in the
Lifelines Cohort Study. European Journal of Human Genetics
[Internet]. 2017 Jul 1;25(7):877–85. Available from: https://doi.org/10.1038/ejhg.2017.50
134.
O’Connell KS, Shadrin A, Bahrami S, Smeland OB,
Bettella F, Frei O, et al. Identification of
genetic overlap and novel risk loci for attention-deficit/hyperactivity
disorder and bipolar disorder. Mol Psychiatry. 2021
Aug;26(8):4055–65.
135.
O’Connor LJ, Schoech AP, Hormozdiari F, Gazal
S, Patterson N, Price AL. Extreme Polygenicity of
Complex Traits Is Explained by Negative
Selection. The American Journal of Human Genetics [Internet].
2019 Sep 5;105(3):456–76. Available from: https://www.sciencedirect.com/science/article/pii/S0002929719302666
136.
Olivier Ledoit, Michael Wolf. Nonlinear
shrinkage estimation of large-dimensional covariance matrices. The
Annals of Statistics [Internet]. 2012 Apr 1;40(2):1024–60. Available
from: https://doi.org/10.1214/12-AOS989
137.
Otowa T, Hek K, Lee M, Byrne EM, Mirza SS,
Nivard MG, et al. Meta-analysis of genome-wide association studies of
anxiety disorders. Molecular Psychiatry [Internet]. 2016 Oct
1;21(10):1391–9. Available from: https://doi.org/10.1038/mp.2015.197
138.
Pardiñas AF, Holmans P, Pocklington AJ,
Escott-Price V, Ripke S, Carrera N, et al. Common schizophrenia alleles
are enriched in mutation-intolerant genes and in regions under strong
background selection. Nature Genetics [Internet]. 2018 Mar
1;50(3):381–9. Available from: https://doi.org/10.1038/s41588-018-0059-2
139.
Patel Y, Parker N, Shin J, Howard D, French L,
Thomopoulos SI, et al. Virtual
Histology of Cortical Thickness and
Shared Neurobiology in 6 Psychiatric
Disorders. JAMA Psychiatry. 2021 Jan 1;78(1):47–63.
140.
Paulus MP, Thompson WK. The
Challenges and Opportunities of Small
Effects: The New Normal in Academic
Psychiatry. JAMA Psychiatry [Internet]. 2019 Apr 1 [cited 2022
Jun 3];76(4):353–4. Available from: https://doi.org/10.1001/jamapsychiatry.2018.4540
141.
Peterson RE, Kuchenbaecker K, Walters RK, Chen
CY, Popejoy AB, Periyasamy S, et al. Genome-wide
Association Studies in Ancestrally Diverse
Populations: Opportunities, Methods,
Pitfalls, and Recommendations. Cell. 2019
Oct 17;179(3):589–603.
142.
Pettersson-Yeo W, Allen P, Benetti S, McGuire
P, Mechelli A. Dysconnectivity
in schizophrenia: Where are we now? Neurosci Biobehav Rev. 2011
Apr;35(5):1110–24.
143.
Pezzoli P, Antfolk J, Hatoum AS, Santtila P.
Genetic Vulnerability to Experiencing Child
Maltreatment. Frontiers in Genetics [Internet]. 2019;10.
Available from: https://www.frontiersin.org/article/10.3389/fgene.2019.00852
144.
Pirinen M, Donnelly P, Spencer CCA. Including
known covariates can reduce power to detect genetic effects in
case-control studies. Nature Genetics [Internet]. 2012 Aug
1;44(8):848–51. Available from: https://doi.org/10.1038/ng.2346
145.
Plana-Ripoll O, Pedersen CB, Agerbo E, Holtz Y,
Erlangsen A, Canudas-Romo V, et al. A comprehensive
analysis of mortality-related health metrics associated with mental
disorders: A nationwide, register-based cohort study. Lancet. 2019
Nov 16;394(10211):1827–35.
146.
Polderman TJC, 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.
Nature Genetics [Internet]. 2015 Jul 1;47(7):702–9. Available from: https://doi.org/10.1038/ng.3285
147.
Prince M, Patel V, Saxena S, Maj M, Maselko J,
Phillips MR, et al. No health without mental health. The Lancet
[Internet]. 2007 Sep 8;370(9590):859–77. Available from: https://www.sciencedirect.com/science/article/pii/S0140673607612380
148.
Pulst SM. Genetic Linkage
Analysis. Archives of Neurology [Internet]. 1999 Jun 1 [cited
2022 May 11];56(6):667–72. Available from: https://doi.org/10.1001/archneur.56.6.667
149.
Purcell S, Neale B, Todd-Brown K, Thomas L,
Ferreira MAR, Bender D, et al. PLINK: A tool set for
whole-genome association and population-based linkage analyses. Am J
Hum Genet. 2007 Sep;81(3):559–75.
150.
Purves KL, Coleman JRI, Meier SM, Rayner C,
Davis KAS, Cheesman R, et al. A major role for common genetic variation
in anxiety disorders. Molecular Psychiatry [Internet]. 2020 Dec
1;25(12):3292–303. Available from: https://doi.org/10.1038/s41380-019-0559-1
151.
Rao S, Yin L, Xiang Y, So HC. Analysis of
genetic differences between psychiatric disorders: Exploring pathways
and cell types/tissues involved and ability to differentiate the
disorders by polygenic scores. Translational Psychiatry [Internet]. 2021
Aug 13;11(1):426. Available from: https://doi.org/10.1038/s41398-021-01545-x
152.
R
Core Team. R: A language and environment for statistical
computing [Internet]. Vienna, Austria: R Foundation for Statistical
Computing; 2021. Available from: https://www.R-project.org/
153.
Ripke S, Sanders AR, Kendler KS, Levinson DF,
Sklar P, Holmans PA, et al. Genome-wide association study identifies
five new schizophrenia loci. Nature Genetics [Internet]. 2011 Oct
1;43(10):969–76. Available from: https://doi.org/10.1038/ng.940
154.
Ripke S, O’Dushlaine C, Chambert K, Moran JL,
Kähler AK, Akterin S, et al. Genome-wide association analysis identifies
13 new risk loci for schizophrenia. Nature Genetics [Internet]. 2013 Oct
1;45(10):1150–9. Available from: https://doi.org/10.1038/ng.2742
155.
Ripke S, Wray NR, Lewis CM, Hamilton SP,
Weissman MM, Breen G, et al. A mega-analysis of genome-wide
association studies for major depressive disorder. Mol Psychiatry.
2013 Apr;18(4):497–511.
156.
Ripke S, Neale BM, Corvin A, Walters JTR, Farh
KH, Holmans PA, et al. Biological insights from 108
schizophrenia-associated genetic loci. Nature [Internet]. 2014 Jul
1;511(7510):421–7. Available from: https://doi.org/10.1038/nature13595
157.
Rocher L, Hendrickx JM, de Montjoye YA.
Estimating the success of re-identifications in incomplete datasets
using generative models. Nature Communications [Internet]. 2019 Jul
23;10(1):3069. Available from: https://doi.org/10.1038/s41467-019-10933-3
158.
Roelfs D, Alnæs D, Frei O, van der Meer D,
Smeland OB, Andreassen OA, et al. Phenotypically independent profiles
relevant to mental health are genetically correlated. Translational
Psychiatry [Internet]. 2021 Apr 1;11(1):202. Available from: https://doi.org/10.1038/s41398-021-01313-x
159.
Roelfs D, Frei O, van der Meer D, Tissink E,
Shadrin A, Alnaes D, et al. Shared genetic architecture between mental
health and the brain functional connectome in the UK
Biobank. BMC Psychiatry [Internet]. 2023 Jun 23;23(1):461.
Available from: https://doi.org/10.1186/s12888-023-04905-7
160.
Roelfs D, van der Meer D, Alnæs D, Frei O,
Shadrin AA, Loughnan R, et al. Genetic overlap between multivariate
measures of human functional brain connectivity and psychiatric
disorders. Nature Mental Health [Internet]. 2024 Feb 1;2(2):189–99.
Available from: https://doi.org/10.1038/s44220-023-00190-1
161.
Routledge KM, Williams LM, Harris AWF,
Schofield PR, Clark CR, Gatt JM. Genetic correlations between wellbeing,
depression and anxiety symptoms and behavioral responses to the
emotional faces task in healthy twins. Psychiatry Research [Internet].
2018 Jun 1;264:385–93. Available from: https://www.sciencedirect.com/science/article/pii/S0165178117320814
162.
Salimi-Khorshidi G, Douaud G, Beckmann CF,
Glasser MF, Griffanti L, Smith SM. Automatic
denoising of functional MRI data: Combining independent
component analysis and hierarchical fusion of classifiers.
Neuroimage. 2014 Apr 15;90:449–68.
163.
Samea F, Soluki S, Nejati V, Zarei M, Cortese
S, Eickhoff SB, et al. Brain alterations
in children/adolescents with ADHD revisited: A
neuroimaging meta-analysis of 96 structural and functional studies.
Neurosci Biobehav Rev. 2019 May;100:1–8.
164.
Saxena S, Thornicroft G, Knapp M, Whiteford H.
Resources for
mental health: Scarcity, inequity, and inefficiency. Lancet. 2007
Sep 8;370(9590):878–89.
165.
Schaefer A, Kong R, Gordon EM, Laumann TO, Zuo
XN, Holmes AJ, et al. Local-Global Parcellation of the
Human Cerebral Cortex from Intrinsic Functional
Connectivity MRI. Cerebral Cortex [Internet]. 2018 Sep 1 [cited
2022 Apr 12];28(9):3095–114. Available from: https://doi.org/10.1093/cercor/bhx179
166.
Schiller JS, Lucas JW, Peregoy JA. Summary
health statistics for u.s. Adults: National health
interview survey, 2011. Vital Health Stat 10. 2012 Dec;(256):1–218.
167.
Schmaal L, Veltman DJ, van Erp TGM, Sämann PG,
Frodl T, Jahanshad N, et al. Subcortical brain alterations
in major depressive disorder: Findings from the ENIGMA Major
Depressive Disorder working group. Mol Psychiatry. 2016
Jun;21(6):806–12.
168.
Schoeler T, Speed D, Porcu E, Pirastu N,
Pingault JB, Kutalik Z. Participation bias in the UK
Biobank distorts genetic associations and downstream analyses.
Nature Human Behaviour [Internet]. 2023 Jul 1;7(7):1216–27. Available
from: https://doi.org/10.1038/s41562-023-01579-9
169.
Sheffield JM, Barch DM. Cognition and
resting-state functional connectivity in schizophrenia. Neurosci
Biobehav Rev. 2016 Feb;61:108–20.
170.
Sklar P, Ripke S, Scott LJ, Andreassen OA,
Cichon S, Craddock N, et al. Large-scale genome-wide association
analysis of bipolar disorder identifies a new susceptibility locus near
ODZ4. Nature Genetics [Internet]. 2011 Oct 1;43(10):977–83.
Available from: https://doi.org/10.1038/ng.943
171.
Smeland OB, Frei O, Shadrin A, O’Connell K, Fan
CC, Bahrami S, et al. Discovery of shared genomic loci using the
conditional false discovery rate approach. Human Genetics [Internet].
2020 Jan 1;139(1):85–94. Available from: https://doi.org/10.1007/s00439-019-02060-2
172.
Smeland OB, Frei O, Dale AM, Andreassen OA. The
polygenic architecture of schizophrenia — rethinking pathogenesis and
nosology. Nature Reviews Neurology [Internet]. 2020 Jul 1;16(7):366–79.
Available from: https://doi.org/10.1038/s41582-020-0364-0
173.
Smeland OB, Bahrami S, Frei O, Shadrin A,
O’Connell K, Savage J, et al. Genome-wide analysis
reveals extensive genetic overlap between schizophrenia, bipolar
disorder, and intelligence. Mol Psychiatry. 2020 Apr;25(4):844–53.
174.
Smith SM, Jenkinson M, Woolrich MW, Beckmann
CF, Behrens TEJ, Johansen-Berg H, et al. Advances in
functional and structural MR image analysis and
implementation as FSL. Neuroimage. 2004;23 Suppl
1:S208–219.
175.
Smith SM, Jenkinson M, Woolrich MW, Beckmann
CF, Behrens TEJ, Johansen-Berg H, et al. Advances in
functional and structural MR image analysis and
implementation as FSL. Neuroimage. 2004;23 Suppl
1:S208–219.
176.
Smith SM, Vidaurre D, Beckmann CF, Glasser MF,
Jenkinson M, Miller KL, et al. Functional connectomics from
resting-state fMRI. Trends Cogn Sci
[Internet]. 2013/11/12 ed. 2013 Dec;17(12):666–82. Available from: https://pubmed.ncbi.nlm.nih.gov/24238796
177.
Smoller JW, Andreassen OA, Edenberg HJ, Faraone
SV, Glatt SJ, Kendler KS. Psychiatric genetics and the structure of
psychopathology. Molecular Psychiatry [Internet]. 2019 Mar
1;24(3):409–20. Available from: https://doi.org/10.1038/s41380-017-0010-4
178.
Snowden LR, Yamada AM. Cultural
Differences in Access to Care.
Annu Rev Clin Psychol [Internet]. 2005 Apr 1 [cited 2022 Apr
19];1(1):143–66. Available from: https://doi.org/10.1146/annurev.clinpsy.1.102803.143846
179.
Sodini SM, Kemper KE, Wray NR, Trzaskowski M.
Comparison of Genotypic and Phenotypic
Correlations: Cheverud’s Conjecture in
Humans. Genetics [Internet]. 2018 Jul 1 [cited 2022 Apr
11];209(3):941–8. Available from: https://doi.org/10.1534/genetics.117.300630
180.
South SC, Schafer MH, Ferraro KF. Genetic and
Environmental Overlap Between Childhood Maltreatment and
Adult Physical Health. Twin Res Hum Genet [Internet]. 2015
Oct;18(5):533–44. Available from: https://pubmed.ncbi.nlm.nih.gov/26379062
181.
Speed D, Cai N, Johnson MR, Nejentsev S,
Balding DJ, the UCLEB Consortium. Reevaluation of SNP
heritability in complex human traits. Nature Genetics [Internet]. 2017
Jul 1;49(7):986–92. Available from: https://doi.org/10.1038/ng.3865
182.
Stahl EA, Breen G, Forstner AJ, McQuillin A,
Ripke S, Trubetskoy V, et al. Genome-wide association study identifies
30 loci associated with bipolar disorder. Nature Genetics [Internet].
2019 May 1;51(5):793–803. Available from: https://doi.org/10.1038/s41588-019-0397-8
183.
Steel Z, Marnane C, Iranpour C, Chey T, Jackson
JW, Patel V, et al. The global prevalence of common mental disorders: A
systematic review and meta-analysis 1980–2013. International Journal of
Epidemiology [Internet]. 2014 Apr 1 [cited 2022 Apr 13];43(2):476–93.
Available from: https://doi.org/10.1093/ije/dyu038
184.
Stickel S, Wagels L, Wudarczyk O, Jaffee S,
Habel U, Schneider F, et al. Neural correlates of
depression in women across the reproductive lifespan - An fMRI review. J Affect Disord. 2019 Mar
1;246:556–70.
185.
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 [Internet]. 2015 Mar 31;12(3):e1001779–9. Available
from: https://www.ncbi.nlm.nih.gov/pubmed/25826379
186.
Suh JS, Schneider MA, Minuzzi L, MacQueen GM,
Strother SC, Kennedy SH, et al. Cortical thickness in
major depressive disorder: A systematic review and
meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jan
10;88:287–302.
187.
Sullivan PF, Kendler KS, Neale MC. Schizophrenia as a
complex trait: Evidence from a meta-analysis of twin studies. Arch
Gen Psychiatry. 2003 Dec;60(12):1187–92.
188.
Sullivan PF, Daly MJ, O’Donovan M. Genetic architectures of
psychiatric disorders: The emerging picture and its implications.
Nat Rev Genet. 2012 Jul 10;13(8):537–51.
189.
Sullivan PF, Agrawal A, Bulik CM, Andreassen
OA, Børglum AD, Breen G, et al. Psychiatric Genomics:
An Update and an Agenda. AJP [Internet]. 2018
Jan 1 [cited 2022 Apr 20];175(1):15–27. Available from: https://doi.org/10.1176/appi.ajp.2017.17030283
190.
Sullivan PF, Geschwind DH. Defining the
Genetic, Genomic, Cellular, and
Diagnostic Architectures of Psychiatric
Disorders. Cell. 2019 Mar 21;177(1):162–83.
191.
Syan SK, Smith M, Frey BN, Remtulla R,
Kapczinski F, Hall GBC, et al. Resting-state functional connectivity in
individuals with bipolar disorder during clinical remission: A
systematic review. J Psychiatry Neurosci [Internet]. 2018 Sep
1;43(5):298. Available from: http://jpn.ca/content/43/5/298.abstract
192.
Tenesa A, Haley CS. The heritability of human
disease: Estimation, uses and abuses. Nature Reviews Genetics
[Internet]. 2013 Feb 1;14(2):139–49. Available from: https://doi.org/10.1038/nrg3377
193.
ten Kate LP. Community Genetics:
A Bridge between Clinical Genetics and
Public Health. Public Health Genomics [Internet].
2005;8(1):7–11. Available from: https://www.karger.com/DOI/10.1159/000083330
194.
The MathWorks Inc. MATLAB
[Internet]. Natick, MA; Available from: https://mathworks.com
195.
Thompson SG, Willeit P. UK Biobank
comes of age. The Lancet [Internet]. 2015 Aug 8 [cited 2022 Apr
21];386(9993):509–10. Available from: https://doi.org/10.1016/S0140-6736(15)60578-5
196.
Thompson PM, Jahanshad N, Ching CRK, Salminen
LE, Thomopoulos SI, Bright J, et al. ENIGMA and global
neuroscience: A decade of large-scale studies of the brain
in health and disease across more than 40 countries. Translational
Psychiatry [Internet]. 2020 Mar 20;10(1):100. Available from: https://doi.org/10.1038/s41398-020-0705-1
197.
Tibber MS, Kirkbride JB, Joyce EM, Mutsatsa S,
Harrison I, Barnes TRE, et al. The component structure of the scales for
the assessment of positive and negative symptoms in first-episode
psychosis and its dependence on variations in analytic methods.
Psychiatry Res [Internet]. 2018/10/30 ed. 2018 Dec;270:869–79. Available
from: https://pubmed.ncbi.nlm.nih.gov/30551337
198.
Torgersen K, Rahman Z, Bahrami S, Hindley GFL,
Parker N, Frei O, et al. Shared genetic loci
between depression and cardiometabolic traits. PLoS Genet. 2022 May
13;18(5):e1010161.
199.
Trubetskoy V, Pardiñas AF, Qi T,
Panagiotaropoulou G, Awasthi S, Bigdeli TB, et al. Mapping genomic loci
implicates genes and synaptic biology in schizophrenia. Nature
[Internet]. 2022 Apr 1;604(7906):502–8. Available from: https://doi.org/10.1038/s41586-022-04434-5
200.
Tsui LC, Buchwald M, Barker D, Braman JC,
Knowlton R, Schumm JW, et al. Cystic fibrosis locus
defined by a genetically linked polymorphic DNA marker.
Science. 1985 Nov 29;230(4729):1054–7.
201.
Uffelmann E, Huang QQ, Munung NS, de Vries J,
Okada Y, Martin AR, et al. Genome-wide association studies. Nature
Reviews Methods Primers [Internet]. 2021 Aug 26;1(1):59. Available from:
https://doi.org/10.1038/s43586-021-00056-9
202.
UK
Biobank Coordinating Centre. UK Biobank:
Protocol for large-scale prospective epidemiological
resources [Internet]. 2007 Mar. Report No.: UKBB-PROT-09-06. Available
from: https://www.ukbiobank.ac.uk/media/gnkeyh2q/study-rationale.pdf
203.
van den Heuvel MP, Sporns O. A cross-disorder
connectome landscape of brain dysconnectivity. Nat Rev Neurosci.
2019 Jul;20(7):435–46.
204.
van der Meer D, Frei O, Kaufmann T, Shadrin AA,
Devor A, Smeland OB, et al. Understanding the genetic determinants of
the brain with MOSTest. Nature Communications [Internet].
2020 Jul 14;11(1):3512. Available from: https://doi.org/10.1038/s41467-020-17368-1
205.
van Erp TGM, Walton E, Hibar DP, Schmaal L,
Jiang W, Glahn DC, et al. Cortical
Brain Abnormalities in 4474 Individuals With
Schizophrenia and 5098 Control Subjects via the
Enhancing Neuro Imaging Genetics Through Meta Analysis
(ENIGMA) Consortium. Biol Psychiatry. 2018
Nov 1;84(9):644–54.
206.
van Loo HM, Romeijn JW. Psychiatric
comorbidity: Fact or artifact? Theor Med Bioeth [Internet]. 2015
Feb;36(1):41–60. Available from: https://pubmed.ncbi.nlm.nih.gov/25636962
207.
van Rheenen W, Peyrot WJ, Schork AJ, Lee SH,
Wray NR. Genetic correlations of polygenic disease traits: From theory
to practice. Nature Reviews Genetics [Internet]. 2019 Oct
1;20(10):567–81. Available from: https://doi.org/10.1038/s41576-019-0137-z
208.
van Rooij D, Anagnostou E, Arango C, Auzias G,
Behrmann M, Busatto GF, et al. Cortical and
Subcortical Brain Morphometry Differences Between Patients With
Autism Spectrum Disorder and Healthy Individuals
Across the Lifespan: Results
From the ENIGMA ASD Working Group. Am J
Psychiatry. 2018 Apr 1;175(4):359–69.
209.
Visscher PM, Hill WG, Wray NR. Heritability in
the genomics era — concepts and misconceptions. Nature Reviews Genetics
[Internet]. 2008 Apr 1;9(4):255–66. Available from: https://doi.org/10.1038/nrg2322
210.
Visscher PM, Wray NR, Zhang Q, Sklar P,
McCarthy MI, Brown MA, et al. 10 Years of GWAS
Discovery: Biology, Function, and
Translation. The American Journal of Human Genetics
[Internet]. 2017 Jul 6 [cited 2022 Apr 20];101(1):5–22. Available from:
https://doi.org/10.1016/j.ajhg.2017.06.005
211.
Wainschtein P, Jain D, Zheng Z, Aslibekyan S,
Becker D, Bi W, et al. Assessing the contribution of rare variants to
complex trait heritability from whole-genome sequence data. Nature
Genetics [Internet]. 2022 Mar 1;54(3):263–73. Available from: https://doi.org/10.1038/s41588-021-00997-7
212.
Watanabe K, Taskesen E, van Bochoven A,
Posthuma D. Functional mapping and annotation of genetic associations
with FUMA. Nature Communications [Internet]. 2017 Nov
28;8(1):1826. Available from: https://doi.org/10.1038/s41467-017-01261-5
213.
Watson JD, Crick FHC. Molecular
Structure of Nucleic Acids: A
Structure for Deoxyribose Nucleic Acid. Nature
[Internet]. 1953 Apr 1;171(4356):737–8. Available from: https://doi.org/10.1038/171737a0
214.
Watson HJ, Yilmaz Z, Thornton LM, Hübel C,
Coleman JRI, Gaspar HA, et al. Genome-wide association study identifies
eight risk loci and implicates metabo-psychiatric origins for anorexia
nervosa. Nature Genetics [Internet]. 2019 Aug 1;51(8):1207–14. Available
from: https://doi.org/10.1038/s41588-019-0439-2
215.
Wetterstrand KA. DNA Sequencing
Costs: Data from the NHGRI Genome Sequencing
Program (GSP) [Internet]. [cited 2022 May 11].
Available from: www.genome.gov/sequencingcostsdata
216.
Wilkins M. The third man of the double helix :
The autobiography of Maurice Wilkins [Internet]. Oxford:
Oxford University Press; 2003. Available from: http://www.loc.gov/catdir/enhancements/fy0620/2004296803-t.html
217.
Wiström ED, O’Connell KS, Karadag N, Bahrami S,
Hindley GFL, Lin A, et al. Genome-wide analysis reveals
genetic overlap between alcohol use behaviours, schizophrenia and
bipolar disorder and identifies novel shared risk loci. Addiction.
2022 Mar;117(3):600–10.
218.
Woolrich MW, Behrens TEJ, Beckmann CF,
Jenkinson M, Smith SM. Multilevel
linear modelling for FMRI group analysis using
Bayesian inference. Neuroimage. 2004 Apr;21(4):1732–47.
219.
World Health Organization. ICD-10 :
international statistical classification of diseases and related health
problems : tenth revision. ICD-10 [Internet]. 2nd ed. 2004; Available
from: https://apps.who.int/iris/handle/10665/42980
220.
Wray NR, Visscher P. Estimating trait
heritability. Nature Education. 2008;1(1):29.
221.
Wray NR, Ripke S, Mattheisen M, Trzaskowski M,
Byrne EM, Abdellaoui A, et al. Genome-wide association analyses identify
44 risk variants and refine the genetic architecture of major
depression. Nature Genetics [Internet]. 2018 May 1;50(5):668–81.
Available from: https://doi.org/10.1038/s41588-018-0090-3
222.
Wray NR, Lin T, Austin J, McGrath JJ, Hickie
IB, Murray GK, et al. From Basic Science to Clinical
Application of Polygenic Risk Scores: A
Primer. JAMA Psychiatry [Internet]. 2021 Jan 1 [cited 2022 Apr
20];78(1):101–9. Available from: https://doi.org/10.1001/jamapsychiatry.2020.3049
223.
Xu
J, Van Dam NT, Feng C, Luo Y, Ai H, Gu R, et al. Anxious brain networks:
A coordinate-based activation likelihood estimation
meta-analysis of resting-state functional connectivity studies in
anxiety. Neuroscience & Biobehavioral Reviews [Internet]. 2019 Jan
1;96:21–30. Available from: https://www.sciencedirect.com/science/article/pii/S0149763418304123
224.
Yang J, Zeng J, Goddard ME, Wray NR, Visscher
PM. Concepts, estimation and interpretation of SNP-based heritability. Nature Genetics
[Internet]. 2017 Sep 1;49(9):1304–10. Available from: https://doi.org/10.1038/ng.3941
225.
Yeo BTT, Krienen FM, Sepulcre J, Sabuncu MR,
Lashkari D, Hollinshead M, et al. The organization of the human cerebral
cortex estimated by intrinsic functional connectivity. J Neurophysiol
[Internet]. 2011/06/08 ed. 2011 Sep;106(3):1125–65. Available from: https://pubmed.ncbi.nlm.nih.gov/21653723
226.
Young AI. Solving the missing heritability
problem. PLoS Genet [Internet]. 2019 Jun 24;15(6):e1008222–2. Available
from: https://pubmed.ncbi.nlm.nih.gov/31233496