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Genetic architectures of psychiatric disorders: the emerging picture and its implications
Open accessAbstract
Psychiatric disorders are among the most intractable enigmas in medicine. In the past 5 years, there has been unprecedented progress on the genetics of many of these conditions. In this Review, we discuss the genetics of nine cardinal psychiatric disorders (namely, Alzheimer's disease, attention-deficit hyperactivity disorder, alcohol dependence, anorexia nervosa, autism spectrum disorder, bipolar disorder, major depressive disorder, nicotine dependence and schizophrenia). Empirical approaches have yielded new hypotheses about aetiology and now provide data on the often debated genetic architectures of these conditions, which have implications for future research strategies. Further study using a balanced portfolio of methods to assess multiple forms of genetic variation is likely to yield many additional new findings.
Overview
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Written from the paper’s full text.
TL;DR
This review synthesizes genetic findings across nine psychiatric disorders and concludes that both rare and common variation contribute across an allelic spectrum, with most disorders being highly polygenic. It argues that larger, balanced genomic studies with statistical rigor are needed to complete the “parts list” and generate biological hypotheses.
Key findings
- For Alzheimer’s disease, 10 loci identified to date account for ~20% of total variation in risk or ~33% of genetic risk, with APOE the major contributor; pathway analyses implicate cholesterol metabolism and innate immune response.
- In schizophrenia, a PGC mega-analysis of 9,394 cases and 12,462 controls identified seven genome-wide significant loci; in bipolar disorder, 7,481 cases and 9,250 controls identified two loci. Common polygenic variation in hundreds of loci contributes to schizophrenia and partially overlaps bipolar disorder, with risk profile scores explaining between a quarter and a third of liability variance.
- In autism spectrum disorder, 5.8% of probands had ≥1 rare de novo structural variant versus 1.7% of unaffected siblings (OR=3.5); exome studies estimate 400–1000 genes, and common variation remains unresolved.
- A major depressive disorder PGC mega-analysis of 9,240 cases and 9,519 controls found no genome-wide significant findings; ADHD shows increased structural variant burden (OR=2.1; OR=5.7 with mental retardation).
Methods
- Narrative review of nine psychiatric disorders (Alzheimer’s disease, ADHD, alcohol dependence, anorexia nervosa, autism spectrum disorder, bipolar disorder, major depressive disorder, nicotine dependence, schizophrenia) selected because they have been intensively studied and have published genome-wide results.
- Synthesizes published genome-wide association, structural variation, linkage, candidate gene, and exome/sequencing studies, emphasizing findings that meet community standards for replication.
- Uses tables, figures, and an allelic spectrum synthesis; no new primary data or meta-analysis are reported.
Limitations
- Stated: many published GWAS are small and underpowered (e.g., ASD, ADHD, AN, ALC); MDD null results likely reflect high heterogeneity and lower heritability; no comprehensive “parts list” exists for any psychiatric disorder; pathway analyses have limitations in pathway definition, significance thresholds, and null expectations.
- Stated: exonic variation studies face background neutral variation and false-positive concerns, requiring large samples and statistical rigor; funding constraints are noted.
- Evident: as a narrative review, it does not conduct a systematic search or quantitative synthesis, so conclusions depend on the selected literature and available published data.
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In the paper
“The proportion of variance explained by the risk profile score increased with relaxation of the significance thresholds.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“As an important test of specificity, the SCZ risk profile was not predictive of case status for any of six non-psychiatric diseases. 177”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [177] The Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661–678 (2007). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“In three independent GWAS, SCZ cases had significantly higher risk profile scores than controls.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“A novel association for SCZ is in Ensembl gene RP11-490G2.1 which encodes the primary transcript for miR-137 (MIR137). 62”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [62] Zhong, L., Cherry, T., Bies, C. E., Florence, M. A. & Gerges, N. Z. Neurogranin enhances synaptic strength through its interaction with calmodulin. EMBO J. 28, 3027–3039 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For SCZ, the strongest association is in the extended MHC region (chr6:27–33 Mb).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Karyotyping studies suggested that on the order of 5% of ASD cases have one of a large number of rare but relatively gross chromosomal abnormalities. 14,78”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [14] Vorstman, J. A. et al. Identification of novel autism candidate regions through analysis of reported cytogenetic abnormalities associated with autism. Mol. Psychiatry 11, 18–28 (2006). source
- Not checked yetcites [78] Stahl, E. A. et al. Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis. Nature Genet. 44, 483–489 (2012). source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Combined analysis of the PGC BIP and SCZ samples strengthened the association in the CACNA1C region.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Indeed, multiple voltage gated calcium channel subunits were among the top 34 loci followed up in the BIP GWAS.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Unexpectedly, simplex and multiplex ASD pedigrees show relatively similar de novo mutation rates for SV 80,81 and exonic variation. 83–85”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
What the sources say
- Not checked yetcites [80] Betancur, C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 1380, 42–77 (2011). source
- Not checked yetcites [81] Sanders, S. J. et al. Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism. Neuron 70, 863–885 (2011). There have been many excellent studies of CNVs in autism. This is one of the largest and is particularly technically well done. The authors report compelling findings regarding specific CNVs and a greater burden of rare CNVs in cases with ASD. source
- Not checked yetcites [83] Marshall, C. R. et al. Structural variation of chromosomes in autism spectrum disorder. Am. J. Hum. Genet. 82, 477–488 (2008). source
- Not checked yetcites [84] Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). source
- Not checked yetcites [85] O'Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“The PGC GWAS mega-analysis of 9,240 MDD cases and 9,519 controls (replication in 6,783 MDD cases) revealed no findings of genome-wide significance. 108”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
What the sources say
- Not checked yetcites [108] Fowler, C. D., Lu, Q., Johnson, P. M., Marks, M. J. & Kenny, P. J. Habenular α5 nicotinic receptor subunit signalling controls nicotine intake. Nature 471, 597–601 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 49
- Probably not a substantial claim. 20
In the paper
“One report found more rare SV in SCZ cases (odds ratio, OR=1.15), particularly for large deletions (OR=3.6). 48”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [48] International Schizophrenia Consortium. Rare chromosomal deletions and duplications increase risk of schizophrenia. Nature 455, 237–241 (2008). source
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None of the sources cited for this claim have been checked yet.
In the paper
“Finally, estimates from two different methods indicated that the risk profile component for SCZ contributes between a quarter and a third of the overall variance in liability to SCZ, 69,130 a substantial fraction of the 65–81% heritability of SCZ. 179,180”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
- Not checked yetcites [130] Kim, Y., Zerwas, S., Trace, S. E. & Sullivan, P. F. Schizophrenia genetics: where next? Schizophr. Bull. 37, 456–463 (2011). source
- Not checked yetcites [179] Sullivan, P. F., Kendler, K. S. & Neale, M. C. Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Arch. Gen. Psychiatry 60, 1187–1192 (2003). source
- Not checked yetcites [180] Lichtenstein, P. et al. Common genetic influences for schizophrenia and bipolar disorder: a population-based study of 2 million nuclear families. Lancet 373, 234–239 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“De novo SV may be relevant in BIP (OR=4.8), particularly in cases with earlier ages of onset (OR=6.3). 53”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [53] Malhotra, D. et al. High frequencies of de novo CNVs in bipolar disorder and schizophrenia. Neuron 72, 951–963 (2011). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“In SCZ, 9,394 cases and 12,462 controls were combined in a single analysis and the top 81 statistically independent loci from that analysis were then tested in over 8,000 cases. The mega-analysis identified seven significant loci (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [58] Need, A. C. et al. Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophrenia. Am. J. Hum. Genet. (in the press). In the largest study yet reported, the authors report exome resequencing of 166 cases with schizophrenia enriched for strong family histories of illness and treatment non-response. No definitive associations were identified: this intriguing finding makes the 'many Mendelians' model of this disorder far less tenable.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Two small exome sequencing studies 56,57 reported rates of putatively functional mutations that exceeded null expectations in SCZ cases (although the rate of de novo point mutations was not elevated in cases and specific genes were not identified).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [56] Girard, S. L. et al. Increased exonic de novo mutation rate in individuals with schizophrenia. Nature Genet. 43, 860–863 (2011). source
- Not checked yetcites [57] Xu, B. et al. Exome sequencing supports a de novo mutational paradigm for schizophrenia. Nature Genet. 43, 864–868 (2011). source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“For BIP, the discovery phase consisted of 7,481 cases and 9,250 controls with follow-up of 34 statistically independent loci in around 4,500 cases. Two loci exceeded genome-wide significance (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [59] Schizophrenia Psychiatric Genome-Wide Association Study Consortium. Genome-wide association study identifies five new schizophrenia loci. Nature Genet. 43, 969–976 (2011). source
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In the paper
“Large SVs are present in 5–10% of ASD cases, and the number of ASD SVs could total 130–234. 80”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [80] Betancur, C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 1380, 42–77 (2011). source
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In the paper
“There are now replicated data that vulnerability to SCZ is influenced by common genetic variation in hundreds of different loci, and this vulnerability partially overlaps that for BIP. 69”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Supporting the hypothesis that this association implicates MIR137, predicted targets of miR-137 were significantly enriched for smaller GWAS p-values (p<0.01), and four of the genes that achieved genome-wide significance contain verified miR-137 binding sites. 63”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [63] Bemis, L. T. et al. MicroRNA-137 targets microphthalmia-associated transcription factor in melanoma cell lines. Cancer Res. 68, 1362–1368 (2008). source
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In the paper
“Intriguingly, there are three instances of ASD cases with de novo deletions of 16p11.2 who also had an affected sibling without this deletion 157–159 along with similar observations for SV in 1q21.1 and 17p12. 158”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
What the sources say
- Not checked yetcites [157] Ott, J. Analysis of Human Genetic Linkage (Johns Hopkins Univ. Press, 1999). source
- Not checked yetcites [158] Weiss, L. A. et al. Association between microdeletion and microduplication at 16p11.2 and autism. N. Engl. J. Med. 358, 667–675 (2008). source
- Not checked yetcites [159] Szatmari, P. et al. Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nature Genet. 39, 319–328 (2007). source
Strength:plain· not yet calibratedn = 3Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, 5.8% of ASD probands had ≥1 rare de novo SV versus 1.7% of their unaffected siblings (OR=3.5), and this difference was more pronounced for SV that intersected genes. 80”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [80] Betancur, C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 1380, 42–77 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“As part of the TAG consortium, 92 we determined that the components of the Fagerstrom Test for Nicotine Dependence (a measure of NIC) had heritabilities ranging from relatively high to near zero with important common environmental effects.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alcohol and Nicotine Dependence (ALC & NIC)
What the sources say
- Not checked yetcites [92] American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 1994).
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Specifically, there are now multiple high-confidence SV (Table 2), rare exonic variants (currently only for ASD, AD, and ALC), and an increasing number of robustly significant and replicated common variants (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture
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In the paper
“There are no known Mendelian variants, and power analyses can exclude common variants of modest effect (genotypic relative risk > 1.5 for allele frequencies > 0.1).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There are multiple SVs that are rare, strong, but non-specific risk factors (Table 2), and 17 common variant associations of subtle effects (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
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In the paper
“the 10 loci identified to date account for ~20% of the total variation in risk or ~33% of the risk attributable to genetic effects, with the major contribution being from APOE”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [33] Harold, D. et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease. Nature Genet. 41, 1088–1093 (2009). source
- Not checked yetcites [34] Lambert, J. C. et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease. Nature Genet. 41, 1094–1099 (2009). source
- Not checked yetcites [35] Hollingworth, P. et al. Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease. Nature Genet. 43, 429–435 (2011). source
- Not checked yetcites [36] Naj, A. C. et al. Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease. Nature Genet. 43, 436–441 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These advances have mostly been via genome-wide association (GWAS) and structural variation (SV) studies”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“None is fully penetrant, and nearly all appear to be non-specific as risk is often increased for SCZ, ASD, developmental delay, mental retardation, epilepsy, somatic dysmorphism, and extremes of body mass and head size.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“A sign test for consistency between the mega-analysis and follow-up stage was highly significant, implying that many of the 81 top loci include true risk loci but that power was insufficient.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [58] Need, A. C. et al. Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophrenia. Am. J. Hum. Genet. (in the press). In the largest study yet reported, the authors report exome resequencing of 166 cases with schizophrenia enriched for strong family histories of illness and treatment non-response. No definitive associations were identified: this intriguing finding makes the 'many Mendelians' model of this disorder far less tenable.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For BIP, there are reports of increased 51–53 and similar SV burden in cases versus controls 54,55”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [51] Zhang, D. et al. Singleton deletions throughout the genome increase risk of bipolar disorder. Mol. Psychiatry 14, 376–380 (2009). source
- Not checked yetcites [52] Priebe, L. et al. Genome-wide survey implicates the influence of copy number variants (CNVs) in the development of early-onset bipolar disorder. Mol. Psychiatry 17, 421–432 (2011). source
- Not checked yetcites [53] Malhotra, D. et al. High frequencies of de novo CNVs in bipolar disorder and schizophrenia. Neuron 72, 951–963 (2011). source
- Not checked yetcites [54] Grozeva, D. et al. Rare copy number variants: a point of rarity in genetic risk for bipolar disorder and schizophrenia. Arch. Gen. Psychiatry 67, 318–327 (2010). source
- Not checked yetcites [55] McQuillin, A. et al. Analysis of genetic deletions and duplications in the University College London bipolar disorder case control sample. Eur. J. Hum. Genet. 19, 588–592 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This implies that sample sizes are insufficient and that additional loci can be discovered in larger samples.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This suggests the discovery sample was insufficiently large to identify many true risk loci at even nominal levels of significance: adding more SNPs contributed more genetic signal than noise.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
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In the paper
“Remarkably, the same set of markers also discriminated BIP cases from controls indicating substantial genetic contributions between SCZ and BIP.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The evidence for association is compelling but high gene density and exceptionally high linkage disequilibrium complicate the identification of specific sequence variation.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
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In the paper
“Indeed, ASD mutations with very high penetrance are exceptional (i.e., Rett syndrome mutations in MECP2 and CDKL5), and Mendelian diseases enriched for ASD have far less than complete penetrance (e.g., Fragile X syndrome and tuberous sclerosis). 78”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [78] Stahl, E. A. et al. Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis. Nature Genet. 44, 483–489 (2012). source
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In the paper
“In addition, ASD has been noted as a comorbid feature of >100 single gene, Mendelian medical genetic syndromes, 79 although the penetrance and confidence of the clinical associations are variable.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [79] Folstein, S. E. & Rosen-Sheidley, B. Genetics of autism: complex aetiology for a heterogeneous disorder. Nature Rev. Genet. 2, 943–955 (2001). source
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None of the sources cited for this claim have been checked yet.
In the paper
“Further, results from SGENE+ 60 implicate NRGN (neurogranin) which may act as a calcium sensor. 61”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [60] Psychiatric GWAS Consortium Bipolar Disorder Working Group. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nature Genet. 43, 977–983 (2011). These two papers are the largest and most comprehensive GWAS mega-analyses conducted for psychotic disorders. source
- Not checked yetcites [61] Stefansson, H. et al. Common variants conferring risk of schizophrenia. Nature 460, 744–747 (2009). source
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In the paper
“Similarly, a sign test between the discovery and follow-up results was highly significant, again suggesting insufficient power. 59”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [59] Schizophrenia Psychiatric Genome-Wide Association Study Consortium. Genome-wide association study identifies five new schizophrenia loci. Nature Genet. 43, 969–976 (2011). source
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In the paper
“miR-137 is a key regulator of neuronal development with roles in neurogenesis and maturation 64,65 and is highly expressed at synapses in the cortex and hippocampus. 66”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [64] Kwon, E., Wang, W. & Tsai, L. H. Validation of schizophrenia-associated genes CSMD1, C10orf26, CACNA1C and TCF4 as miR-137 targets. Mol. Psychiatry 20 Dec 2011 (doi:10.1038/mp.2011.170). source
- Not checked yetcites [65] Szulwach, K. E. et al. Cross talk between microRNA and epigenetic regulation in adult neurogenesis. J. Cell Biol. 189, 127–141 (2010). source
- Not checked yetcites [66] Smrt, R. D. et al. MicroRNA miR-137 regulates neuronal maturation by targeting ubiquitin ligase mind bomb-1. Stem Cells 28, 1060–1070 (2010). source
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In the paper
“Case-control studies are simpler, and most biases can be surmounted by careful study procedures, but cannot delineate rare inherited from de novo variation.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
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In the paper
“Intriguingly, all three studies noted an increased rate of de novo exonic mutations in older parents (with the mutations generally being of paternal origin), 83–85”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [83] Marshall, C. R. et al. Structural variation of chromosomes in autism spectrum disorder. Am. J. Hum. Genet. 82, 477–488 (2008). source
- Not checked yetcites [84] Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). source
- Not checked yetcites [85] O'Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A focus on multiplex pedigrees has led to the identification of specific mutations underlying hundreds of Mendelian disorders (including ASD and AD).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The 16p11.2 SV associated with ASD and SCZ has been termed a “mirror image” SV since the deletion and duplication are associated with increased and reduced head and body size.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, it is difficult to understand the clinical features of ASD and SCZ as mirror images and, more importantly, ASD is associated with both 16p11.2 deletions and duplications.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
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In the paper
“Simplex-based ascertainment is tailored to evaluate de novo mutations, and predicated on a model in which disorder with dramatically reduced fecundity and a proven role of de novo SV might be explicable as a series of Mendelian disorders attributable to recent high-penetrance mutations in any of a large number of genes.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It has also been pointed out that de novo events must confer risk in multiplex families, as such mutations increase the chance that an individual is affected and increase risk in that person’s offspring.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
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None of the sources cited for this claim have been checked yet.
In the paper
“For ALC, the published GWAS are small and no large-scale meta-analysis has been conducted. 93–97”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alcohol and Nicotine Dependence (ALC & NIC)
What the sources say
- Not checked yetcites [93] Tobacco and Genetics Consortium. Meta-analyses of genome-wide association studies implicate multiple loci for smoking behavior. Nature Genet. 42, 441–447 (2010). source
- Not checked yetcites [94] Edenberg, H. J. et al. Genome-wide association study of alcohol dependence implicates a region on chromosome 11. Alcohol. Clin. Exp. Res. 34, 840–852 (2010). source
- Not checked yetcites [95] Bierut, L. J. et al. A genome-wide association study of alcohol dependence. Proc. Natl Acad. Sci. USA 107, 5082–5087 (2010). source
- Not checked yetcites [96] Kendler, K. S. et al. Genomewide association analysis of symptoms of alcohol dependence in the molecular genetics of schizophrenia (MGS2) control sample. Alcohol. Clin. Exp. Res. 35, 963–975 (2011). source
- Not checked yetcites [97] Heath, A. C. et al. A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications. Biol. Psychiatry 70, 513–518 (2011). source
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In the paper
“Additional support for our recommendation for more GWAS is provided by Voineagu et al. who identified a gene expression module that had attenuated expression in post-mortem brain samples of individuals with ASD and which also had enrichment for GWAS signals. 90”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Common variation
What the sources say
- Not checked yetcites [90] Ma, D. et al. A genome-wide association study of autism reveals a common novel risk locus at 5p14.1. Ann. Hum. Genet. 73, 263–273 (2009). source
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In the paper
“Associations to this region have also bee reported for lung cancer. 105,106”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alcohol and Nicotine Dependence (ALC & NIC)
What the sources say
- Not checked yetcites [105] Saccone, N. L. et al. Multiple independent loci at chromosome 15q25.1 affect smoking quantity: a meta-analysis and comparison with lung cancer and COPD. PLoS Genet. 6, e1001053 (2010). source
- Not checked yetcites [106] Thorgeirsson, T. E. et al. A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. Nature 452, 638–642 (2008). source
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In the paper
“A provocative finding from 2003 was that risk for MDD might be influenced by a gene-environment interaction with genetic variation near the serotonin transporter. 110”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
What the sources say
- Not checked yetcites [110] Rucker, J. J. et al. Genome-wide association analysis of copy number variation in recurrent depressive disorder. Mol. Psychiatry 1 Nov 2011 (doi:10.1038/mp.2011.144). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These null results are intriguing as almost all other published GWAS with N>11,000 for any disease has found at least one genome-wide significant finding.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
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In the paper
“The most likely reasons for these results are particularly high heterogeneity of MDD and insufficient power arising from its lower heritability. 108”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
What the sources say
- Not checked yetcites [108] Fowler, C. D., Lu, Q., Johnson, P. M., Marks, M. J. & Kenny, P. J. Habenular α5 nicotinic receptor subunit signalling controls nicotine intake. Nature 471, 597–601 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There is an important component arising from common variation in hundreds of different loci (Box 3), and larger sample sizes are likely to convert many of these to genome-wide significance.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The data support multiple novel biological hypotheses (for example, cholesterol metabolism and the innate immune response in AD, a network involving miR-137 for SCZ, calcium signaling for BIP and SCZ, and chromatin remodeling for ASD) and reinforce previous hypotheses such as synaptic biology for SCZ and ASD).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For disorders with sufficient data (AD, BIP, and SCZ), the results are consistent with an allelic spectrum and an etiological role for both rare and common variation.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although we were initially agnostic 123 we now believe that the data support both positions.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
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In the paper
“Common variant SNP effects have been estimated to explain large proportions of the phenotypic heritability for a wide range of diseases: BIP and SCZ; 69,130 T1DM, T2DM, Crohn’s disease, rheumatoid arthritis, celiac disease, and coronary artery disease; 70,77 and continuous traits (height, intelligence, and body mass). 70,131,132”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
- Not checked yetcites [130] Kim, Y., Zerwas, S., Trace, S. E. & Sullivan, P. F. Schizophrenia genetics: where next? Schizophr. Bull. 37, 456–463 (2011). source
- Not checked yetcites [70] International Schizophrenia Consortium. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460, 748–752 (2009). source
- Not checked yetcites [77] Speliotes, E. K. et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nature Genet. 42, 937–948 (2010). source
- Not checked yetcites [131] Lee, S. et al. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature Genet. 44, 247–250 (2012). This is a provocative paper showing that liability to SCZ is substantial and distributed among genetic variants across the common variant spectrum and across the genome. The authors suggest that the so-called missing heritability problem is hidden and that the architecture of SCZ is polygenic. source
- Not checked yetcites [132] Davies, G. et al. Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol. Psychiatry 16, 996–1005 (2011). source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There are statistical hints that ADHD and MDD might also be polygenic.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the knowledge base in psychiatric genetics is vastly greater than five years ago, and the rate of change is unprecedented in the history of the field.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Why these successes matter
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For example, SV testing is often part of the clinical evaluation of ASD”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Why these successes matter
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None of the sources cited for this claim have been checked yet.
In the paper
“It is possible to provide realistic estimates of power and to predict the number of new associations for each increment in sample size 128,129,140”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [128] Orozco, G., Barrett, J. C. & Zeggini, E. Synthetic associations in the context of genome-wide association scan signals. Hum. Mol. Genet. 19, R137–R144 (2010). source
- Not checked yetcites [129] Lander, E. S. Initial impact of the sequencing of the human genome. Nature 470, 187–197 (2011). source
- Not checked yetcites [140] Miller, G. Is pharma running out of brainy ideas? Science 329, 502–504 (2010). source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The genomic search space is large but finite and so, in theory, elucidating the parts list for a psychiatric disorder could be achieved.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
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- Rests on an assumption: The genomic search space is large but finite.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A comprehensive portrait of genetic architecture does not now exist for any psychiatric disorder.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
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In the paper
“there have been multiple meta-analysis 146,147 consortia in psychiatric genetics, of which the Psychiatric Genomics Consortium (http://pgc.unc.edu) is the largest and most encompassing. 123,148,149”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [123] McClellan, J. & King, M. C. Genomic analysis of mental illness: a changing landscape. JAMA 303, 2523–2524 (2010). source
- Not checked yetcites [148] de Bakker, P. I., Neale, B. M. & Daly, M. J. Meta-analysis of genome-wide association studies. Cold Spring Harb. Protoc. 2010, pdb.top81 (2010). source
- Not checked yetcites [149] Psychiatric GWAS Consortium. Genome-wide association studies: history, rationale, and prospects for psychiatric disorders. Am. J. Psychiatry 166, 540–546 (2009). source
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In the paper
“For example, the lifetime cost per person with SCZ is on the order of $US 1.4 million: 145”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [145] Lamarre-Cliche, M., Castilloux, A. M. & LeLorier, J. Association between the burden of disease and research funding by the Medical Research Council of Canada and the National Institutes of Health. A cross-sectional study. Clin. Invest. Med. 24, 83–89 (2001).
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The successful study of any type of genetic variation in complex biomedical diseases requires very large sample sizes as a means to cut the Gordian knot posed by genetic architecture, etiological complexity, and phenotypic uncertainty.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Genomic technologies routinely posit 105–108 hypotheses, and false positives are a serious concern.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
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None of the sources cited for this claim have been checked yet.
In the paper
“Humans carry a huge pool of phenotypically-neutral background variation that adds noise to genetic analyses (for example, each person has ~100 loss-of-function variants, most of which are rare in a population), 152,153”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [152] Easton, D. F. et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature 447, 1087–1093 (2007). source
- Not checked yetcites [153] MacArthur, D. G. et al. A systematic survey of loss-of-function variants in human protein-coding genes. Science 335, 823–828 (2012). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Indeed, a GWAS co-authorship network graph demonstrates the high connectedness of researchers in the field (Figure S2).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The published results for ASD 83–85 and unpublished data on SCZ suggest these issues will be important and underscore the need for sequencing studies to have the same emphasis on statistical rigor and large sample sizes that has enabled GWAS to realize success for multiple psychiatric disorders. 154”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [83] Marshall, C. R. et al. Structural variation of chromosomes in autism spectrum disorder. Am. J. Hum. Genet. 82, 477–488 (2008). source
- Not checked yetcites [84] Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). source
- Not checked yetcites [85] O'Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). source
- Not checked yetcites [154] Durbin, R. M. et al. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the genetics knowledge base has advanced considerably during the past five years, and results to date contain clear indications that further study will yield greater insight.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Psychiatric genetics is not “post-genomic”
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
The authors state this as an assumption.
Pathway analysis is based on the assumption that risk variants for a disease will converge on sets of genes whose functions are more closely related to each other than to random sets of genes.
“Pathway analysis is based on the assumption that risk variants for a disease will converge on sets of genes whose functions are more closely related to each other than to random sets of genes.”
The authors state this as an assumption.
For rare variants in complex diseases, pathway analysis will by necessity be based on sets of genes whose involvement in disease is unclear (e.g., genes with a single observed de novo exonic deleterious mutation).
“For rare variants in complex diseases, based on recent empirical results for ASD, it is probably reasonable to assume that pathway analysis will by necessity be based on sets of genes whose involvement in disease is unclear (e.g., genes with a single observed de novo exonic deleterious mutation). 83,84”
The paper relies on this without support.
Common variation plays a clear role in other psychiatric disorders.
“given that detailed studies of rare variation currently explain a fraction of risk and that common variation plays a clear role in other psychiatric disorders.”
The paper relies on this without support.
The genomic search space is large but finite.
“The genomic search space is large but finite and so, in theory, elucidating the parts list for a psychiatric disorder could be achieved.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The etiology of ASD is also primarily genetic (Sullivan et al., 2012)”
From Parallel social information processing circuits are differentially impacted in autism (2020) · cites this paper as Sullivan et al., 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting conclusions about whether ASD risk can be entirely due to rare variants
MajorThe paper says the available evidence cannot establish or rule out a role for common genetic variation in ASD, but later says an architecture consisting entirely of rare variants is inconsistent with the ASD data. The latter conclusion rules out what the former says remains possible.
“It is currently not possible to discern or dismiss a role for common genetic variation in risk for ASD.”
“Hypothesized genetic architectures consisting entirely of rare variants are inconsistent with the data for AD, ASD, BIP, and SCZ (as well as for multiple other complex biomedical diseases).”
Citations
Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationInfluence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
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Common SNPs explain a large proportion of the heritability for human height
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Fernandez, F., Byrne, M. K., Batterham, M. J., Grant, L., & Meyer, B. J. (2022) · Nutrients · doi:10.3390/nu14071379 · Cited by 10
Lehner, T. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.08.002 · Cited by 10
Yu, C., Baune, B. T., Wong, M., & Licinio, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.05.044 · Cited by 12
“…about the underlying fundamental biology of MDD and much work still needs to be done to fully elucidate the genetic factors that confer susceptibility to this condition (Amin et al., 2016; CONVERGE Consortium, 2015; Hyde et al., 2016; Sullivan et al., 2012; Wong et al., 2016; Yu et al., 2017d).”
BackgroundInvestigation of short tandem repeats in major depression using whole-genome sequencing data
Yu, C., Baune, B. T., Wong, M., & Licinio, J. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.02.046 · Cited by 11
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“, 2019), similar – in principle – to most other psychiatric disorders (Sullivan et al., 2012), and potentially supporting a dimensional hypothesis for EDs.”
BackgroundHu, T., Wang, Y.-C., Wu, C., Hsu, S.-H., Tsai, H.-Y., & Cheng, M.-C. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.524258 · Cited by 10
An Overview of Measuring Impulsive Behavior in Mice
Dent, C. L., & Isles, A. R. (2014) · Current Protocols in Mouse Biology · doi:10.1002/9780470942390.mo140015 · Cited by 11
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Detection of gene–environment interaction in pedigree data using genome-wide genotypes
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Cao, C., Chen, M., Yang, S., Xu, Y., & Gu, J. (2024) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2024.106683 · Cited by 10
Common variants in the ARC gene are not associated with cognitive abilities
Myrum, C., Giddaluru, S., Jacobsen, K. K., Espeseth, T., Nyberg, L. H., Lundervold, A. J., Haavik, J., Nilsson, L., Reinvang, I., Steen, V. M., et al. (2015) · Brain and Behavior · doi:10.1002/brb3.376 · Cited by 10
“Numerous genetic risk factors are implicated in psychiatric disorder susceptibility (Sullivan et al. 2012).”
BackgroundHow UK psychiatric geneticists understand and talk about engaging the public
Lewis, J., & Bartlett, A. (2015) · New Genetics and Society · doi:10.1080/14636778.2014.998817 · Cited by 9
Zhan, L., Li, J., Jew, B., & Sul, J. H. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009772 · Cited by 9
Elevated common variant genetic risk for tourette syndrome in a densely-affected pedigree
Halvorsen, M. W., Szatkiewicz, J., Mudgal, P., Yu, D., Aschauer, H. N., Atzmon, G., Barr, C. L., Barta, C., Barzilai, N., Batterson, J. R., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01277-w · Cited by 9
Zhao, Z., Li, Y., Wang, P., Zhang, R., & Nie, Z. (2023) · Medicine · doi:10.1097/md.0000000000036460 · Cited by 9
“[4] Thus, it is believed that there is a significant hereditary component to MDD. Genome-wide association studies (GWASs) have linked variants at numerous loci to MDD. [4,5] Antidepressants’ efficacy in treating MDD varies greatly from patient to patient.”
BackgroundBiomarkers for personalised treatment in psychiatric diseases
Bagdy, G., & Juhász, G. (2013) · Expert Opinion on Medical Diagnostics · doi:10.1517/17530059.2013.821979 · Cited by 9
“In some neuropsychiatric disorders that have high heritability, such as schizophrenia, autism and Alzheimer’s disease (Table 1), increasing the number of persons in case--control studies led to significant genome-wide association study (GWAS) results, and thus provided new hypothesis regarding the aetiology of these d…”
BackgroundXing, J., Wang, C., Kimura, H., Takasaki, Y., Kunimoto, S., Yoshimi, A., Nakamura, Y., Koide, T., Banno, M., Kushima, I., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112531 · Cited by 10
“Both SCZ and ASD are recognized as neurodevelopmental disorders, and are reported to have a major overlap of genetic risk, especially from de novo, deleterious mutations, [7–10]although further research concerning implicated loci and/or genetic risk factors (i.”
BackgroundBelsky, D. W., Suppli, N. P., & Israel, S. (2014) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-014-0954-5 · Cited by 9
“Many different variants each contribute small increments in risk [19].”
BackgroundOruč, L., Pojskić, L., Ramić, J., Pojskić, N., & Bajroviç, K. (2012) · Bosnian Journal of Basic Medical Sciences · doi:10.17305/bjbms.2012.2446 · Cited by 9
Täljemark, J., Råstam, M., Lichtenstein, P., Anckarsäter, H. S., & Kerekes, N. (2017) · Journal of Eating Disorders · doi:10.1186/s40337-017-0154-2 · Cited by 10
DNA methylation regulates CHRNA7 transcription and can be modulated by valproate
Dyrvig, M., Mikkelsen, J. D., & Lichota, J. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.04.015 · Cited by 9
Miller, A. P., Gizer, I. R., Fleming, W., Otto, J. M., Deak, J. D., Martins, J. S., & Bartholow, B. D. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.06.025 · Cited by 9
Chen, J., Wu, J.-S., Mize, T. J., Moreno, M., Hamid, M., Servin, F., Bashy, B., Zhao, Z., Jia, P., Tsuang, M. T., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-49052-w · Cited by 9
Krushkal, J., Murphy, L. E., Palmer, F. B. S. C., Graff, J. C., Sutter, T. R., Mozhui, K., Hovinga, C. A., Thomas, F., Park, V., Tylavsky, F. A., et al. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9641-2 · Cited by 9
“…intellectual disability, and neuropsychiatric disorders (Bishop 2009; Deffenbacher et al. 2004; Docherty et al. 2010; Hayiou-Thomas 2008; Kaufman et al. 2010; Macleod et al. 2012; Posthuma et al. 2005; Spinath et al. 2004a, b; Sullivan et al. 2012; The SLI Consortium 2002; Wainwright et al. 2006).”
Curtis, D. (2012) · Psychiatric Genetics · doi:10.1097/ypg.0b013e32835d7e5a · Cited by 10
Genetic and Epigenetic Mechanisms Linking Pain and Psychiatric Disorders
Swiergiel, A. H., Juszczak, G. R., & Stankiewicz, A. M. (2015) · Modern trends in psychiatry · doi:10.1159/000435937 · Cited by 9
Ishizuka, K., Kimura, H., Yoshimi, A., Banno, M., Kushima, I., Uno, Y., Okada, T., Mori, D., Aleksić, B., & Ozaki, N. (2016) · PubMed Central · doi:10.18999/nagjms.78.4.465 · Cited by 9
Elucidating the role of the pLG72 R30K substitution in schizophrenia susceptibility
Sacchi, S., Cappelletti, P., Pirone, L., Smaldone, G., Pedone, E. M., & Pollegioni, L. (2017) · FEBS Letters · doi:10.1002/1873-3468.12585 · Cited by 9
Moschos, M. M., Diamantopoulou, A., Gouliopoulos, N., Droutsas, K. D., Bagli, E., CHATZISTEFANOU, K. I., Kitsos, G., & Κroupis, C. (2019) · In Vivo · doi:10.21873/invivo.11565 · Cited by 9
Turning strains into strengths for understanding psychiatric disorders
Moore, S. J., Murphy, G. G., & Cazares, V. A. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0772-y · Cited by 10
Hollis, C. P., & Palaniyappan, L. K. (2015) · Wiley eBooks · doi:10.1002/9781118381953.ch57 · Cited by 9
Characterisation of Neurospheres-Derived Cells from Human Olfactory Epithelium
Zelenova, Е., Kondratyev, N. V., Lezheiko, T., Tsarapkin, G. Y., Kryukov, A. I., Kishinevskii, A. E., Tovmasyan, A. S., Momotyuk, E., Dashinimaev, E. B., & Голимбет, В. Е. (2021) · Cells · doi:10.3390/cells10071690 · Cited by 8
“size is that common mental illnesses are mostly hereditary and highly polygenic [11].”
BackgroundAbsolute and relative risks of mental disorders in families: a Danish register-based study.
Pedersen, C. B., Pedersen, M. G., Antonsen, S., Pedersen, E. M., Horsdal, H., Debost, J., Mortensen, P., Petersen, L., Vilhjálmsson, B., Nielsen, J. F., et al. (2025) · Lancet psychiatry · doi:10.1016/s2215-0366(25)00196-8 · Cited by 6
Lemke, J. R., Eoli, A., Krey, I., Popp, B., Strehlow, V., Wittekind, D. A., Vuorinen, A., Aldhalaan, H., Baer, S., Martin, A. D. S., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03279-4 · Cited by 10
“[ 14 – 16] The majority of individuals with mental disorders due to such de novo CNV display a recognizable syndromic phenotype comprising intellectual disability (ID) and/or other syndrome-associated features, including dysmorphism and congenital malformations.”
Benros, M. E., & Mortensen, P. B. (2015) · Current topics in neurotoxicity · doi:10.1007/978-3-319-13602-8_6 · Cited by 9
“2006 ) . Later, when antibiotics were introduced, anecdotal data suggests that signifi cant proportions of patients with psychiatric symptoms caused by neurosyphilis were cured also for their psychiatric symptoms (Sullivan et al.”
BackgroundBiological mechanisms underlying evolutionary origins of psychotic and mood disorders
Goto, Y., Lee, Y., Yamaguchi, Y., & Jas, E. (2016) · Neuroscience Research · doi:10.1016/j.neures.2016.04.007 · Cited by 8
Identification of rare variants in KCTD13 at the schizophrenia risk locus 16p11.2
Degenhardt, F., Heinemann, B., Strohmaier, J., Pfohl, M. A., Giegling, I., Hofmann, A., Ludwig, K. U., Witt, S. H., Ludwig, M., Forstner, A. J., et al. (2016) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000145 · Cited by 11
“Furthermore, deletions and duplications in this chromosomal region are established risk factors for developmental delay, intellectual disability, autism spectrum disorder, and epilepsy (Kumar et al., 2008; Weiss et al., 2008; Shinawi et al., 2010; Xiang et al., 2010; Sullivan et al., 2012).”
BackgroundA Gene-Based Analysis of Acoustic Startle Latency
Smith, A. K., Jovanović, T., Kilaru, V., Lori, A., Gensler, L., Lee, S. S., Norrholm, S. D., Massa, N., Cuthbert, B. N., Bradley, B., et al. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00117 · Cited by 8
GWAS and Beyond: Using Omics Approaches to Interpret SNP Associations
Chen, H., Petty, L. E., Bush, W. S., Naj, A. C., & Below, J. E. (2019) · Current Genetic Medicine Reports · doi:10.1007/s40142-019-0159-z · Cited by 8
Galli, L., Grande, C. D., Rindi, L., Mangia, C., Mangano, V. D., Schiavi, E., Masci, I., Pinto, B., Kramer, L. H., Dell’Osso, L., et al. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.01.104 · Cited by 8
Kumperščak, H. G., Krgović, D., Radobuljac, M. D., Senica, N., Zagorac, A., & Vokač, N. K. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.606372 · Cited by 10
“21 (16, 17) and that the effect of rare large CNVs on bipolar disorder seems less prominent (18–20).”
BackgroundTomaskovic‐Crook, E., Guerrieri-Cortesi, K., & Crook, J. M. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.07.004 · Cited by 8
Modeling schizophrenia with iPS cell technology and disease mouse models
Nakazawa, T. (2021) · Neuroscience Research · doi:10.1016/j.neures.2021.08.002 · Cited by 9
Stephenson, M. E., Alıev, F., Kuo, S. I., Edwards, A. C., Pandey, G., Su, J., Kamarajan, C., Dick, D. M., & Salvatore, J. E. (2022) · Development and Psychopathology · doi:10.1017/s0954579422000785 · Cited by 8
“Further, molecular genetic studies suggest that AUD is highly polygenic, driven by hundreds or thousands of genetic variants of very small individual effect (Sullivan et al., 2012).”
Mokhtari, M. A., Sargazi, S., Saravani, R., Nia, M. H., Mirinejad, S., Hadzsiev, K., Bene, J., & Shakiba, M. (2022) · Disease Markers · doi:10.1155/2022/1886658 · Cited by 9
“Following the first GWAS of BD in 2007, several loci, including NCAN, ANK3, and CACNA1C, were found to be associated with BD risk, and these findings were later confirmed by some population-based genetic association studies [11, 13, 16].”
ResultInfluentialYue, Y., You, L., Zhao, F., Zhang, K., Shi, Y., Tang, H., Lü, J., Li, S., Cao, J.-X., Geng, D., et al. (2023) · General Psychiatry · doi:10.1136/gpsych-2022-100928 · Cited by 8
Torrell-Galceran, H., Salas, A., Abasolo-Zabalo, N., Morén, C., Garrabou, G., Valero, J., Alonso, Y., Vilella, E., Costas, J., & Martorell, L. (2014) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32264 · Cited by 8
“Because the heritability of schizophrenia has been estimated at approximately 80%, genetic factors account for most of the etiology, and current knowledge indicates that schizophrenia is a polygenic disorder involving both rare structural and common variants [Sullivan et al., 2012].”
BackgroundIdentifying Potential Regions of Copy Number Variation for Bipolar Disorder
Chen, Y., Lu, R., Hung, H., & Kuo, P. (2014) · Microarrays · doi:10.3390/microarrays3010052 · Cited by 8
“associated with different psychiatric disorders, such as schizophrenia, autism, and BPD [4–7].”
BackgroundSchizophrenia and the dynamic genome
Sullivan, P. F. (2017) · Genome Medicine · doi:10.1186/s13073-017-0416-2 · Cited by 8
Self-citationShinwari, J., Alyemni, E. A., Alnaemi, F. M., Abebe, D., Al-Abdulaziz, B., Al-Mubarak, B. R., Ghaziuddin, M., & Tassan, N. A. A. (2017) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000173 · Cited by 8
“A growing number of studies suggest a role for the HLA family of genes in different psychiatric disorders such as schizophrenia, autism, and depression (Chien et al., 2012; Sullivan et al., 2012; Al-Hakbany et al., 2014; Kodavali et al., 2014; Morgan et al., 2016).”
BackgroundEl estudio Andalusian Bipolar Family (ABiF): protocolo y descripción de la muestra
Parra, J. G., Rivas, F., Strohmaier, J., Forstner, A. J., Streit, F., Auburger, G. W. J., Propping, P., Díaz, G. O., González, M. J., Flores, S. G., et al. (2017) · Revista de Psiquiatría y Salud Mental · doi:10.1016/j.rpsm.2017.03.004 · Cited by 7
Knowles, E. E. M., Peralta, J. M., Almasy, L. A., Nimgaonkar, V. L., McMahon, F. J., McIntosh, A. M., Thomson, P. A., Mathias, S. R., Gur, R. C., Curran, J. E., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.03.012 · Cited by 8
Lee, J., Song, S., Lee, J. H., Kang, J., Choe, E. K., Lee, T. Y., Chon, M., Kim, M., Kim, S. W., Chun, M., et al. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.06.027 · Cited by 7
Mostafa, I. M., Mohamed, A. A., Alahmadi, Y. M., Shehata, A. M., Almikhlafi, M. A., & Omar, M. A. (2024) · Luminescence · doi:10.1002/bio.4897 · Cited by 7
Psychiatric Genetics in Clinical Practice: Essential Knowledge for Mental Health Professionals
Besterman, A. D., Alnor, M. A., Castaño, M., DeLisi, L. E., Grice, D. E., Lohoff, F. W., Middeldorp, C. M., Müller, D. J., Quattrone, D., Nürnberger, J. I., et al. (2025) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240295 · Cited by 8
The Intricate Relationship of Trk Receptors in Brain Diseases and Disorders
Dahiya, S., Sharma, P. K., Sharma, B., Saroj, P., Kharkwal, H., & Sharma, N. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05058-2 · Cited by 9
Genetic influences on depression and selection into adverse life experiences
Rauf, T., & Jeremy Freese, A. (2024) · Social Science & Medicine · doi:10.1016/j.socscimed.2024.116633 · Cited by 9
Yao, J., Zhang, K. X., Kramer, M., Pellegrini, M. A., & McCombie, W. R. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt749 · Cited by 7
Cell Type-Specific Effects of Mutant DISC1: A Proteomics Study
Xia, M., Broek, J. A. C., Jouroukhin, Y., Schoenfelder, J., Abazyan, S., Jaaro-Peled, H., Sawa, A., Bahn, S., & Pletnikov, M. V. (2016) · Complex Psychiatry · doi:10.1159/000444587 · Cited by 7
Chang, H., Li, L., Peng, T., Li, M., Gao, L., & Xiao, X. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32502 · Cited by 7
“Recent studies focusing on genetic architectures of schizophrenia have identified that both common and rare variations conferred its risk [International Schizophrenia Consortium, 2008; Stefansson et al., 2008; Vacic et al., 2011; Sullivan et al., 2012].”
BackgroundCalabrò, M., Porcelli, S., Crisafulli, C., Wang, S., Lee, S.-J., Han, C., Patkar, A. A., Masand, P. S., Albani, D., Raimondi, I., et al. (2017) · Journal of Molecular Neuroscience · doi:10.1007/s12031-017-1002-1 · Cited by 7
FKBP5 Gene Variants May Modulate Depressive Features in Bipolar Disorder
Calabrò, M., Crisafulli, C., Nicola, M. D., Colombo, R., Janiri, L., & Serretti, A. (2019) · Neuropsychobiology · doi:10.1159/000499976 · Cited by 7
Brain anomalies in early psychosis: From secondary to primary psychosis
Iftimovici, A., Chaumette, B., Duchesnay, É., & Krebs, M. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104716 · Cited by 7
Rare Variants in Complex Traits: Novel Identification Strategies and the Role of de novo Mutations
Jouan, L., Gauthier, J., Dion, P. A., & Rouleau, G. A. (2012) · Human Heredity · doi:10.1159/000346478 · Cited by 7
Schnell, K. (2014) · Psychopathology · doi:10.1159/000366134 · Cited by 7
Molecular genetic approaches to understanding the comorbidity of psychiatric disorders
Gizer, I. R. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000717 · Cited by 8
“Large-scale meta-analytic studies have been possible because researchers have focused on a single set of agreed-upon criteria for a disorder in the form of the DSM diagnostic criteria as well as the same set of combinatorial rules for merging data across these criteria to reach a diagnosis (Sullivan et al., 2012).”
BackgroundA deep learning based scoring system for prioritizing susceptibility variants for mental disorders
Khan, A., & Wang, K. (2017) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2017.8217916 · Cited by 7
“There is a broad range of evidence that neuropsychiatric and neurodevelopmental disorders, such as schizophrenia, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), major depressive disorder (MDD) and language/communicative impairments, have a strong genetic component in…”
BackgroundHot Genes in Schizophrenia: How Clinical Datasets Could Help to Refine their Role
Porcelli, S., Lee, S.-J., Han, C., Patkar, A. A., Albani, D., Jun, T., Pae, C., & Serretti, A. (2017) · Journal of Molecular Neuroscience · doi:10.1007/s12031-017-1016-8 · Cited by 7
“Risk variants for SCZ are thought to range from common to extremely rare (Sullivan et al. 2012); this makes their detectionmore difficult.”
An Ontology Systems Approach on Human Brain Expression and Metaproteomics
Farias, A. F.-S., Mendizabal-Ruiz, A. P., & Morales, J. A. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00406 · Cited by 7
“These are known to have a role in neuropsychiatric disorders (Alural et al., 2017), anxiety-like behaviors (Hoban et al., 2017b) and movement disorders (Tan et al., 2013).”
BackgroundThe Utility of Clinical Staging in Youth Mental Health Settings
Hickie, I. B., Carpenter, J. S., Iorfino, F., Scott, E. M., Cross, S. P. M., & Hermens, D. F. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139839518.005 · Cited by 7
Merwe, J. V. D., Brook, S., Fear, C., Benjamin, M. J., Libby, G., Williams, A. C. D. C., & Baranowski, A. P. (2020) · Scandinavian Journal of Pain · doi:10.1515/sjpain-2019-0182 · Cited by 8
“The term catastrophising describes a negative bias in thinking about pain, and thereby associated with a negative emotional response to pain [37, 38].”
BackgroundA Recessively Inherited Risk Locus on Chromosome 13q22-31 Conferring Susceptibility to Schizophrenia
Mahmood, T., El‐Asrag, M. E., Poulter, J. A., Cardno, A. G., Tomlinson, A., Ahmed, S., Al-Amri, A. H., Nazari, J., Neill, J. C., Chamali, R., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa161 · Cited by 7
Kimura, H., Mori, D., Aleksić, B., & Ozaki, N. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.11.008 · Cited by 7
Nakai, N., Overton, E. T. N., & Takumi, T. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-8763-4_36 · Cited by 7
Volk, D. W., & Lewis, D. A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-410529-4.00105-4 · Cited by 11
Loureiro, C. M., Fachim, H., Harte, M., Dalton, C., & Reynolds, G. P. (2022) · Journal of Psychopharmacology · doi:10.1177/02698811211069109 · Cited by 7
“Schizophrenia is a debilitating psychiatric disorder with a lifetime prevalence of approximately 1% worldwide (Kirkbride et al., 2012; Sullivan et al., 2012).”
BackgroundBrief Report: Clusters and Trajectories Across the Autism and/or ADHD Spectrum
LaBianca, S., Pagsberg, A. K., Jakobsen, K. D., Demur, A. B., Bartalan, M., LaBianca, J., & Werge, T. M. (2018) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-018-3618-6 · Cited by 6
“Structural variants in the genome such as recurrent, large and rare Copy Number Variants (CNVs) have been associated with mental disorders (Sullivan et al. 2012), including ASD (Pinto et al.”
The relationship between the minor allele content and Alzheimer's disease
Chen, H., Lei, X., Yuan, D., & Huang, S. (2020) · Genomics · doi:10.1016/j.ygeno.2020.01.015 · Cited by 7
A balanced translocation disrupting BCL2L10 and PNLDC1 segregates with affective psychosis
Bouwkamp, C. G., Kievit, A. J. A., Olgiati, S., Breedveld, G. J., Coesmans, M., Bonifati, V., & Kushner, S. A. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32465 · Cited by 7
“Bipolar disorder is well known to have a strong genetic component, with heritability estimates as high as 0.75 [Sullivan et al., 2012].”
BackgroundMethodInfluentialAsignaturas pendientes del DSM-5
Pallarés, J. A., & Pérez, I. P. (2015) · Revista de Neurología · doi:10.33588/rn.60s01.2015002 · Cited by 7
Human iPSC Models in Drug Discovery: Opportunities and Challenges
Silva, M. C., Cross, A., Brandon, N. J., & Haggarty, S. J. (2017) · Comprehensive Medicinal Chemistry III · doi:10.1016/b978-0-12-409547-2.12284-x · Cited by 6
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“Major depressive disorder (MDD) represents a debilitating mental illness with a heritability of 37% [1].”
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“…with intellectual disability (Engels et al., 2007; Vissers et al., 2010; Cooper et al., 2011) and schizophrenia and autism spectrum disorder (Sullivan et al., 2012), rare and highly penetrant CNVs in specific chromosomal regions have been associated with birth defects, such as sporadic…”
BackgroundLi, Z., Shen, T., Ran, X., Liang, B., Jiang, J., Ling, W., Wei, B., & Su, L. (2016) · Acta Neuropsychiatrica · doi:10.1017/neu.2016.36 · Cited by 6
“SZ, as a complex disease, is influenced by both genetic and environmental factors (3), whereas heritable factors of SZ account for 80% (4).”
BackgroundProspects for personalization of depression treatment with genome sequencing
Borczyk, M., Piechota, M., Parkitna, J. M. R., & Korostyński, M. (2021) · British Journal of Pharmacology · doi:10.1111/bph.15470 · Cited by 6
“Variants at multiple loci have been associated with major depressive disorder in genome-wide association studies (GWASs) (Sullivan et al., 2000, 2012).”
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“, 2019), 77%–88% for ADHD (Faraone and Larsson, 2019), 81% for schizophrenia, and 57% for substance use disorders (Sullivan et al., 2012).”
BackgroundDevelopmental manifestations of polygenic risk for bipolar disorder from infancy to middle childhood
Askeland, R., Hannigan, L., O'Connell, K., Corfield, E., Frei, O., Thapar, A., Smith, G. D., Reichborn-Kjennerud, T., Andreassen, O., Ask, H., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02522-2 · Cited by 4
“Genome wide association studies (GWAS) indicate that a substantial part of the genetic liability is conferred by common single nucleotide polymorphisms (SNPs) [12, 13].”
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“Second, the occurrence of AN – being a polygenic disorder – is widely known to depend on the interaction of multiple factors (Sullivan et al., 2012).”
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“Schizophrenia is a neurodevelopmental mental disorder associated with a combination of rare nonspecific variants with a high genotypic relative risk and common genetic variation in hundreds of different alleles (2).”
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Epigenetics of Bipolar Disorder
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Exploratory Analysis of Polygenic Risk Scores for Psychiatric Disorders: Applied to Dual Diagnosis
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Metadata
- Authors
- Sullivan, P. F., Daly, M. J., & O'Donovan, M.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Harvard University (US)
- Corresponding author
- Sullivan, Patrick F.
- Venue
- Nature Reviews Genetics
- Published
- 2012-07-10
- Volume
- 13
- Issue
- 8
- Pages
- 537-551
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC4110909
- OpenAlex
- W2017826413
- Semantic Scholar
- 0daf00932712fc6331a171911cea4681ab7a668e
- Cited by
- 1,177
- References
- 209
- Citations by year
- 2026: 35 · 2025: 56 · 2024: 37 · 2023: 41 · 2022: 58 · 2021: 68 · 2020: 84 · 2019: 91 · 2018: 103 · 2017: 107 · 2016: 107 · 2015: 127 · 2014: 150 · 2013: 90 · 2012: 21
- FWCI
- 15.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- Wellcome Trust
- National Institutes of Health
- Medical Research Council
- National Institute of Mental Health (R01MH077139, U01MH085520, MH085520, MH077139)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- mental illness, genetic architecture, genome-wide association study, structural variants, exome sequencing, Alzheimer's disease, attention deficit hyperactivity disorder, alcoholism, anorexia nervosa, autism spectrum disorder, bipolar disorder, major depressive disorder, nicotine dependence, schizophrenia, genetic aetiology
- MeSH terms
- Alcoholism, Alzheimer Disease, Anorexia Nervosa, Attention Deficit Disorder with Hyperactivity, Mental Disorders, Bipolar Disorder, Child, Child Development Disorders, Pervasive, Major Depressive Disorder, Humans, Models, Genetic, Schizophrenia, Tobacco Use Disorder
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