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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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Regulatory mechanisms of major depressive disorder risk variants
Li, S., Li, Y., Li, X., Liu, J., Huo, Y., Wang, J., Liu, Z., Li, M., & Luo, X. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0715-7 · Cited by 51
“Major depressive disorder (MDD) is the most prevalent mental disorder [1] (the lifetime prevalence is ~16% [2]) and is characterized by loss of interest or pleasure, depressed mood, impaired cognitive function, hopelessness, anxiety, and sleep disturbance [3].”
BackgroundMartín‐Sánchez, A., Piñero, J., Nonell, L., Arnal, M., Ribé, E. M., Nevado‐Holgado, A. J., Lovestone, S., Sanz, F., Furlong, L. I., & Valverde, O. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00810-x · Cited by 52
A Breakthrough in Schizophrenia Genetics
Kendler, K. S., & O’Donovan, M. C. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1776 · Cited by 51
Self-citationMunafo, M. R., Zammit, S., & Jonathan Flint, C. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12261 · Cited by 51
The Promise of Psychiatric Pharmacogenomics
Hamilton, S. P. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.09.009 · Cited by 51
Srivastava, R., Faust, T. E., Ramos, A., Ishizuka, K., & Sawa, A. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.01.007 · Cited by 52
MicroRNA Cross-Involvement in Autism Spectrum Disorders and Atopic Dermatitis: A Literature Review
Tonacci, A., Bagnato, G., Pandolfo, G., Billeci, L., Sansone, F., Conte, R., & Gangemi, S. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8010088 · Cited by 51
Delvecchio, G., Dima, D., & Frangou, S. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32294 · Cited by 51
“This is consistent with the multifactorial pathogenetic model of BD that involves interaction between multiple genetic and non-genetic risk factors [Sullivan et al., 2012].”
Grezenko, H., Ekhator, C., Nwabugwu, N. U., Ganga, H., Affaf, M., Abdelaziz, A., Rehman, A., Shehryar, A., Abbasi, F. A., Bellegarde, S. B., et al. (2023) · Cureus · doi:10.7759/cureus.43960 · Cited by 55
“Shared genetic factors contribute to the co-occurrence of neurological and psychiatric disorders due to common genetic pathways [4].”
BackgroundGenestine, M., Lin, L., Durens, M., Yan, Y., Jiang, Y., Prem, S., Bailoor, K., Kelly, B., Sonsalla, P. K., Matteson, P. G., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv301 · Cited by 50
“Numerous genetic risk factors havenowbeen identified that contribute tovulnerability to multiple disorders including autism spectrum disorder (ASD) and schizophrenia (3), but the underlying pathophysiology is still poorly understood.”
BackgroundHirayama‐Kurogi, M., Takizawa, Y., Kunii, Y., Matsumoto, J., Wada, A., Hino, M., Akatsu, H., Hashizume, Y., Yamamoto, S., Kondo, T., et al. (2017) · Journal of Proteomics · doi:10.1016/j.jprot.2017.02.009 · Cited by 50
Benros, M. E., & Mortensen, P. B. (2019) · Current topics in behavioral neurosciences · doi:10.1007/7854_2019_93 · Cited by 53
Trends in big data analyses by multicenter collaborative translational research in psychiatry
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Peyrot, W. J., Boomsma, D. I., Penninx, B. W. J. H., & Wray, N. R. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.12.017 · Cited by 42
RNA-Seq Reveals Novel Transcriptional Reorganization in Human Alcoholic Brain
Farris, S. P., & Dayne Mayfield, R. (2014) · International Review of Neurobiology · doi:10.1016/b978-0-12-801105-8.00011-4 · Cited by 49
DeepBipolar: Identifying genomic mutations for bipolar disorder via deep learning
Sundaram, L., Bhat, R. R., Viswanath, V., & Li, X. (2017) · Human Mutation · doi:10.1002/humu.23272 · Cited by 49
“There have been previous studies analyzing the lifetime prevalence of the disorder and the heritability associated with it (Sullivan et al., 2012), affirming the link between nongenetic factors and bipolar disorder (Alloy et al.”
BackgroundDISC1 regulates lactate metabolism in astrocytes: implications for psychiatric disorders
Jouroukhin, Y., Kageyama, Y., Misheneva, V., Shevelkin, A. V., Andrabi, S. A., Prandovszky, E., Yolken, R. H., Dawson, V. L., Dawson, T. M., Aja, S. M., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0123-9 · Cited by 50
Lack of replication of previous autism spectrum disorder GWAS hits in European populations
Torrico, B., Chiocchetti, A. G., Bacchelli, E., Trabetti, E., Hervás, A., Franke, B., Buitelaar, J. K., Rommelse, N., Yousaf, A., Duketis, E., et al. (2017) · Autism Research · doi:10.1002/aur.1662 · Cited by 47
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“Recently, an increased burden of large (>500 kb), rare (<1%)CNVs has been identified in an array of neuropsychiatric disorders [Sullivan et al., 2012].”
BackgroundDoes reflective functioning mediate the relationship between attachment and personality?
Nazzaro, M. P., Boldrini, T., Tanzilli, A., Muzi, L., Giovanardi, G., & Lingiardi, V. (2017) · Psychiatry Research · doi:10.1016/j.psychres.2017.06.045 · Cited by 48
Mental health: Depression needs large human-genetics studies
Hyman, S. (2014) · Nature · doi:10.1038/515189a · Cited by 46
Ciuculete, D. M., Boström, A. E., Voisin, S., Philipps, H., Titova, O. E., Bandstein, M., Nikontovic, L., Williams, M. J., Mwinyi, J., & Schiöth, H. B. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.275 · Cited by 40
Brain change trajectories that differentiate the major psychoses
Liberg, B., Rahm, C., Panayiotou, A., & Pantelis, C. (2016) · European Journal of Clinical Investigation · doi:10.1111/eci.12641 · Cited by 46
Cao, H., Dixson, L., Meyer‐Lindenberg, A., & Tost, H. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.07.008 · Cited by 52
“com architecture of schizophrenia involves a large number of common single nucleotide polymorphisms (SNPs), each of which confers small increment in illness risk [4].”
BackgroundRiglin, L., Leppert, B., Langley, K., Thapar, A. K., O’Donovan, M. C., Smith, G. D., Stergiakouli, E., Tilling, K. M., & Thapar, A. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13297 · Cited by 48
“In childhood, ADHD and ASD traits are highly correlated with each other and with other DSM-5 neurodevelopmental problems (e.g. intellectual disability, language disorders), show a male preponderance and are highly heritable (Sullivan, Daly, & O’Donovan, 2012; Thapar, Cooper, & Rutter, 2017).”
BackgroundSelf-citationElectrophysiological Endophenotypes for Schizophrenia
Owens, E. M., Bachman, P., Glahn, D. C., & Bearden, C. E. (2016) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000110 · Cited by 50
“Despite substantial heritability, the genetic architecture of schizophrenia is incompletely understood.(1)”
BackgroundMassively parallel functional dissection of schizophrenia-associated noncoding genetic variants
Rummel, C. K., Gagliardi, M., Ahmad, R., Herholt, A., Jiménez-Barrón, L. T., Murek, V., Weigert, L., Hausruckinger, A., Maidl, S., Hauger, B., et al. (2023) · Cell · doi:10.1016/j.cell.2023.09.015 · Cited by 49
Higgins, G. A., Allyn-Feuer, A., Barbour, E., & Athey, B. D. (2015) · Pharmacogenomics · doi:10.2217/pgs.15.106 · Cited by 46
SZDB2.0: an updated comprehensive resource for schizophrenia research
Wu, Y., Li, X., Liu, J., Luo, X., & Yao, Y. (2020) · Human Genetics · doi:10.1007/s00439-020-02171-1 · Cited by 43
Cryptic and Complex Chromosomal Aberrations in Early-Onset Neuropsychiatric Disorders
Brand, H., Pillalamarri, V., Collins, R. L., Eggert, S., O'Dushlaine, C. T., Braaten, E. B., Stone, M. R., Chambert, K., Doty, N. D., Hanscom, C., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.09.005 · Cited by 44
Robinson, E., Kirby, A. W., Ruparel, K., Yang, J., McGrath, L. M., Anttila, V., Neale, B. M., Merikangas, K. R., Lehner, T., Abou‐Sleiman, P. M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.65 · Cited by 43
“As knowledge of the genetic factors relevant to those disorders continues to improve (14), heritable traits measured on samples from the general population can be examined for evidence of shared genetic influence with neuropsychiatric disease and pursued for indicators of common underlying biology.”
Self-citationAndreou, D., Söderman, E., Axelsson, T., Sedvall, G. C., Terenius, L. Y., Agartz, I., & Jönsson, E. G. (2014) · Behavioral and Brain Functions · doi:10.1186/1744-9081-10-26 · Cited by 44
“Introduction Schizophrenia is a disorder affecting approximately 1% of the world’s population and with heritability up to 80% [1].”
BackgroundKim, M. J., Biag, J. D., Fass, D. M., Lewis, M. C., Zhang, Q., Fleishman, M., Gangwar, S. P., Machius, M., Fromer, M., Purcell, S., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.98 · Cited by 43
SZGR 2.0: a one-stop shop of schizophrenia candidate genes
Jia, P., Han, G., Zhao, J., Lu, P., & Zhao, Z. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw902 · Cited by 43
“These regions were intensively studied (23,24), replicated and reviewed (1,25) through large-scale genomic analyses.”
BackgroundRees, E., Carrera, N., Morgan, J., Hambridge, K., Escott‐Price, V., Pocklington, A. J., Richards, A. L., Pardiñas, A. F., McDonald, C., Donohoe, G. J., et al. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.08.022 · Cited by 44
“Schizophrenia is a highly heritable polygenic disorder (1).”
BackgroundSelf-citationStarr, L. R., & Huang, M. (2018) · Development and Psychopathology · doi:10.1017/s0954579418000779 · Cited by 49
“, 2016; Wray & Sullivan, 2018), leading to a general consensus that genetic risk for depression is composed of many small additive effects (Cross-Disorder Group of the Psychiatric Genomics Consortium, 2013; Sullivan et al., 2012).”
BackgroundBodkin, J. A., Coleman, M. J., Godfrey, L., Carvalho, C. M. B., Morgan, C. J., Suckow, R. F., Anderson, T., Öngür, D., Kaufman, M. J., Lewandowski, K. E., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.031 · Cited by 44
“(1-21) SVs and CNVs can be large, involve many genes, and their underlying structure can be complex.”
BackgroundEmerging roles for ncRNAs in alcohol use disorders
Mayfield, R. D. (2017) · Alcohol · doi:10.1016/j.alcohol.2017.01.004 · Cited by 43
Koenen, K. C., Duncan, L. E., Liberzon, I., & Ressler, K. J. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.022 · Cited by 47
“Furthermore, it is important to note that samples sizes under 5000 or even 10,000 are now considered to be relatively “small” by modern genetics standards (6).”
BackgroundTang, J., Fan, Y., Li, H., Xiang, Q., Zhang, D., Li, Z., He, Y., Liao, Y., Wang, Y., He, F., et al. (2017) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2017.05.005 · Cited by 44
“…common single nucleotide polymorphisms (SNPs) and copy number variations (CNVs) associated with schizophrenia (Schizophrenia Psychiatric GenomeWide Association Study Consortium, 2011; Shi et al., 2011; Yue et al., 2011; Sullivan et al., 2012; Ma et al., 2013; Ripke et al., 2013; Wu et al., 2017).”
BackgroundTracing Early Neurodevelopment in Schizophrenia with Induced Pluripotent Stem Cells
Ahmad, R., Sportelli, V., Ziller, M. J., Spengler, D., & Hoffmann, A. (2018) · Cells · doi:10.3390/cells7090140 · Cited by 42
“Heritability for SCZ is high with estimates about 60% in two national family studies [44,45] and about 80% in twin studies [46,47].”
Morris, D. W., Pearson, R. D., Cormican, P., Kenny, E. M., O'Dushlaine, C. T., Perreault, L.-P. L., Giannoulatou, E., Tropea, D., Maher, B. S., Wormley, B., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu025 · Cited by 42
Self-citationLi, M., Wu, D., Yao, Y., Huo, Y., Liu, J.-W., Su, B., Chasman, D. I., Chu, A. Y., Huang, T., Qi, L., et al. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv070 · Cited by 43
Hatzimanolis, A., McGrath, J. A., Wang, R., Li, T., Wong, P. C., Nestadt, G., Wolyniec, P. S., Valle, D. L., Pulver, A. E., & Avramopoulos, D. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.33 · Cited by 45
An EJC Factor RBM8a Regulates Anxiety Behaviors
Alachkar, A., Jiang, D., Harrison, M. A., Zhou, Y., Chen, G., & Mao, Y. (2013) · Current Molecular Medicine · doi:10.2174/15665240113139990019 · Cited by 42
Cariaga-Martínez, A. E., Sáiz-Ruiz, J., & Alelú‐Paz, R. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00202 · Cited by 48
“…keep in mind that, in psychiatric, we are at the end of the beginning, not the beginning of the end and we will need more scientific cooperation, a more clever research strategy, and higher statistical rigor in order to get a complete picture of schizophrenia neurobiology (Sullivan et al., 2012).”
BackgroundWang, X., Ye, F., Wen, Z.-X., Guo, Z., Yu, C., Huang, W.-K., Ringeling, F. R., Su, Y.-J., Zheng, W., Zhou, G.-Q., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0485-2 · Cited by 41
Ohki, C. M. Y., Grossmann, L., Alber, E., Dwivedi, T., Berger, G. E., Werling, A. M., Walitza, S., & Grünblatt, E. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00999-9 · Cited by 41
Menke, A. (2018) · Pharmacogenomics and Personalized Medicine · doi:10.2147/pgpm.s146110 · Cited by 41
“The heritability estimates of the major mental disorders derived from large twin studies ranges from 40% of major depressive disorder (MDD) and posttraumatic stress disorder (PTSD) to 80% of schizophrenia, bipolar disorder, and attention-deficit hyperactivity disorder (ADHD).(17,18) The advances in genetics are couple…”
BackgroundCommon variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorder
Team7, T. 2. R., Li, X., Luo, Z., Gu, C., Hall, L. S., McIntosh, A. M., Zeng, Y., Porteous, D. J., Hayward, C., Li, M., et al. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0078-9 · Cited by 41
Parker, C. C., Carbonetto, P. S., Sokoloff, G., Park, Y. J., Abney, M., & Palmer, A. A. (2014) · Genetics · doi:10.1534/genetics.114.167056 · Cited by 41
“…to these disorders may be difficult to map via GWAS because anxiety disorders are only modestly heritable and, like many psychiatric conditions, are expected to be highly polygenic—that is, modulated by a large number of genetic factors with individually small effects (Sullivan et al. 2012).”
BackgroundGenetics of Attention Deficit Hyperactivity Disorder (ADHD): Recent Updates and Future Prospects
Schachar, R. (2014) · Current Developmental Disorders Reports · doi:10.1007/s40474-013-0004-0 · Cited by 47
DSM-5 cannabis use disorder: A phenotypic and genomic perspective
Arpana Agrawal, A., Lynskey, M. T., Bucholz, K. K., Kapoor, M., Almasy, L. A., Dick, D. M., Edenberg, H. J., Foroud, T., Goate, A., Hancock, D. B., et al. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.11.008 · Cited by 41
“This has resulted in speculation regarding the bioogical underpinnings of cannabis use disorders; in particular, the uestion of whether common variation available in commercially vailable genome-wide arrays captures it (Sullivan et al., 2012).”
BackgroundChen, J., Calhoun, V. D., Perrone‐Bizzozero, N. I., Pearlson, G. D., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Du, Y.-X., & Liu, J. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.96 · Cited by 40
Type 3 adenylyl cyclase: a key enzyme mediating the cAMP signaling in neuronal cilia.
Qiu, L., LeBel, R. P., Storm, D. R., & Chen, X. (2016) · Europe PMC (PubMed Central) · Cited by 39
Assari, S. (2018) · Brain Sciences · doi:10.3390/brainsci8050091 · Cited by 43
“Various psychiatric disorders have common genetic predispositions [59,60].”
BackgroundRanlund, S. M., Rosa, M. J., de Jong, S., Cole, J. H., Kyriakopoulos, M., Fu, C. H. Y., Mehta, M. A., & Dima, D. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.10.008 · Cited by 42
“%) and molecular genetic studies (Geschwind and Flint, 2015; Sullivan et al., 2012).”
Explaining the missing heritability of psychiatric disorders
Owen, M. J., & Williams, N. M. (2021) · World Psychiatry · doi:10.1002/wps.20870 · Cited by 43
Saponaro, S., Giuliano, A., Bellotti, R., Lombardi, A., Tangaro, S., Oliva, P., Calderoni, S., & Retico, A. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103082 · Cited by 44
Kotlar, A., Mercer, K. B., Zwick, M. E., & Mullé, J. G. (2015) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2015.10.008 · Cited by 42
“Targeted sequencing, GWAS, and copy number variant analyses support the possibility that genetic risk factors for schizophrenia overlap with those associated with autism spectrum disorders (ASD) and intellectual disability [122].”
BackgroundRutkowski, T. P., Schroeder, J. P., Gafford, G. M., Warren, S. T., Weinshenker, D., Caspary, T., & Mullé, J. G. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23970 · Cited by 40
“History is littered with failures of the candidate gene approach to unravel complex neuropsychiatric disorders (Sullivan et al., 2012; Farrell et al., 2015).”
BackgroundShared Genetic Risk of Schizophrenia and Gray Matter Reduction in 6p22.1
Chen, J., Calhoun, V. D., Lin, D., Perrone‐Bizzozero, N. I., Bustillo, J., Pearlson, G. D., Potkin, S. G., van Erp, T. G. M., Macciardi, F. M., Ehrlich, S., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby010 · Cited by 42
“Echoing the five lines of analyses: (1) Out of 39 top SNPs, 31 presented as cis-mQTLs of 6 unique CpG sites in brain (Hannon et al.”
BackgroundMethodInfluentialPre-clinical models of neurodevelopmental disorders: focus on the cerebellum
Shevelkin, A. V., Ihenatu, C., & Pletnikov, M. V. (2014) · Reviews in the Neurosciences · doi:10.1515/revneuro-2013-0049 · Cited by 42
“Human genetic and epidemiological studies have identified genetic risk factors (Sullivan et al., 2012) and environmental adversities (Chaste and Leboyer, 2012; Michel et al., 2012; Goines and Ashwood, 2013) associated with autism and schizophrenia.”
BackgroundCouteur, A. S. L., & Szatmári, P. (2015) · Wiley eBooks · doi:10.1002/9781118381953.ch51 · Cited by 49
Genomics of schizophrenia, bipolar disorder and major depressive disorder
Owen, M. J., Bray, N. J., Walters, J., & O’Donovan, M. C. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00843-0 · Cited by 44
Self-citationInvestigation of SHANK3 in schizophrenia
Cortabitarte, A. D. S., Degenhardt, F., Strohmaier, J., Lang, M., Weiß, B., Roeth, R., Giegling, I., Heilmann‐Heimbach, S., Hofmann, A., Rujescu, D., et al. (2017) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32528 · Cited by 43
“Although common inherited alleles with small effects account for most of the SCZ genetic risk identified to date, rare highly penetrantmutations or structural variations are also implicated [Sullivan et al., 2012; Gratten et al., 2014; Rees et al., 2016].”
BackgroundGene-set analysis shows association between FMRP targets and autism spectrum disorder
Jansen, A. G., Dieleman, G. C., Smit, A. B., Verhage, M., Verhulst, F. C., Polderman, T. J. C., & Posthuma, D. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2017.55 · Cited by 40
Improved ethical guidance for the return of results from psychiatric genomics research
Lázaro‐Muñoz, G., Farrell, M. S., Crowley, J. J., Filmyer, D. M., Shaughnessy, R. A., Josiassen, R. C., & Sullivan, P. F. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.228 · Cited by 38
Self-citationPolygenic risk scoring and prediction of mental health outcomes
Anderson, J. S., Shade, J., DiBlasi, E., Shabalin, A. A., & Docherty, A. R. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.09.002 · Cited by 38
“Twin and family studies have consistently demonstrated a strong genetic component to major psychiatric disorders,[3,4] and molecular genetic studies have shown that psychiatric disorders are highly polygenic.[5] In the last decade, the field has reached consensus that, unlike many medical disorders associated with a s…”
BackgroundProgress in iPSC-Based Modeling of Psychiatric Disorders
Hoffmann, A., Ziller, M. J., & Spengler, D. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194896 · Cited by 39
“Notwithstanding these uncertainties, it is well-established that SCZ and BD are highly heritable in twin and family studies [11].”
BackgroundCarpenter, J. S., Iorfino, F., Cross, S. P. M., Nichles, A., Zmicerevska, N., Crouse, J. J., Palmer, J. R., Whitton, A. E., White, D., Naismith, S. L., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-030985 · Cited by 41
Exploring the genetic heterogeneity in major depression across diagnostic criteria
Jermy, B. S., Glanville, K. P., Coleman, J. R. I., Lewis, C. M., & Vassos, E. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01231-w · Cited by 38
Ethical concerns relating to genetic risk scores for suicide
Docherty, A. R., Kious, B. M., Brown, T. R., Francis, L. P., Stark, L. A., Keeshin, B. R., Botkin, J. R., DiBlasi, E., Gray, D., & Coon, H. H. (2021) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32871 · Cited by 38
Addressing the Genetics of Human Mental Health Disorders in Model Organisms
McCammon, J. M., & Sive, H. L. (2015) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-090314-050048 · Cited by 42
Schmitt, A., Martins‐de‐Souza, D., Akbarian, S., Cassoli, J. S., Ehrenreich, H., Fischer, A., Fonteh, A. N., Gattaz, W. F., Gawlik, M., Gerlach, M., et al. (2016) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2016.1224929 · Cited by 43
“…common genetic risk variants mainly affect regulatory elements of the genome and thus alter mRNA and microRNA gene expression networks causally implicated in the aetiology of the disease (Sullivan et al. 2012). ncRNA plays a critical role in regulating the timing and rate of protein translation.”
BackgroundStocker, C. M., Masarik, A. S., Widaman, K. F., Reeb, B. T., Boardman, J. D., Smolen, A., Neppl, T. K., & Conger, K. J. (2016) · Development and Psychopathology · doi:10.1017/s0954579416001310 · Cited by 39
“Although the single candidate gene approach arguably makes it easier to trace specific biological processes involved in genes moderating environmental effects, we felt that the polygenic index score approach, which was predicated on the notion that complex psychological constructs are influenced by small effects of a…”
BackgroundMethodProgress in Genetic Studies of Tourette’s Syndrome
Qi, Y., Zheng, Y., Li, Z., & Xiong, L. (2017) · Brain Sciences · doi:10.3390/brainsci7100134 · Cited by 40
Russell, T. A., Grubisha, M. J., Remmers, C. L., Kang, S. K., Forrest, M. P., Smith, K. R., Kopeikina, K. J., Gao, R., Sweet, R. A., & Penzes, P. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.024 · Cited by 39
“This variant has an OR>2, a higher effect size than any previously reported for other SZ-associated nonsynonymous coding variants (7).”
BackgroundGenerative network models of altered structural brain connectivity in schizophrenia
Zhang, X., Braun, U., Harneit, A., Zang, Z., Geiger, L. S., Betzel, R. F., Chen, J., Schweiger, J. I., Schwarz, K., Reinwald, J., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117510 · Cited by 42
Li, C., Xu, C., Wang, L., An, D., Jiang, L., Zheng, Y., Xu, Y., Wang, Y., Wang, Y., Zhang, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21476-x · Cited by 38
Mariggiò, M. A., Palumbi, R., Vinella, A., Laterza, R., Petruzzelli, M. G., Peschechera, A., Gabellone, A., Gentile, O., Vincenti, A., & Margari, L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.705890 · Cited by 40
Guan, F., Zhang, T., Han, W., Zhu, L., Ni, T., Lin, H., Liu, D., Chen, G., Xiao, J., & Li, T. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.09.015 · Cited by 37
Genetic studies of schizophrenia: an update
Chen, J., Cao, F., Liu, L., Wang, L., & Chen, X. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1494-4 · Cited by 39
“For the involved genes, the effect is more pronounced [34] [57] [58] [59] .”
Associating schizophrenia, long non-coding RNAs and neurostructural dynamics
Merelo, V., Durand, D., Lescallette, A. R., Vrana, K. E., Hong, L. E., Faghihi, M. A., & Bellon, A. (2015) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2015.00057 · Cited by 38
“…has a strong genetic component, including; heritability estimates of 80–85% (Cardno et al., 1999), high rates of monozygotic concordance (Cardno et al., 1999; Cardno andGottesman, 2000) and its association with several discrete genomic regions (Sullivan et al., 2012; Ripke et al., 2013).”
BackgroundImmune signatures and disorder-specific patterns in a cross-disorder gene expression analysis
de Jong, S., Newhouse, S., Patel, H., Lee, S., Dempster, D., Curtis, C. J. C., Paya-Cano, J. L., Murphy, D., Wilson, C., Horder, J., et al. (2016) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.115.175471 · Cited by 37
“Recent studies point to overlap between neuropsychiatric disorders in symptomatology and genetic aetiology.”
Yang, J., & Li, M. D. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.67 · Cited by 37
“38 On the other hand, the abundant results obtained using this approach provide greater depth of exploration of potential targets and offer valuable replication for other unbiased approaches; e.g., genome-wide linkage study and GWAS.”
Dick, D. M., Barr, P. B., Guy, M. C., Nasim, A., & Scott, D. M. (2017) · American Journal on Addictions · doi:10.1111/ajad.12495 · Cited by 38
“Our understanding of the contribution of genetic factors to psychiatric and behavioral outcomes has advanced dramatically in recent years.(1,2) Genetic epidemiological studies have enabled us to understand how genetic and environmental influences operate across development to influence pathways of risk, and statistica…”
BackgroundRecent Progress on Relevant microRNAs in Autism Spectrum Disorders
Wu, X., Li, W., & Zheng, Y. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165904 · Cited by 40
Farrelly, L. A., Zheng, S., Schrode, N., Topol, A., Bhanu, N. V., Bastle, R. M., Ramakrishnan, A., Chan, J. C., Cetin, B., Flaherty, E. K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29922-0 · Cited by 38
“Following RNA purifications, samples were either (1) reverse transcribed to cDNA and assessed via qPCR using SYBR Green (see Supplementary Table 3 for qPCR primers), or (2) prepared into RNA-seq libraries according to Illumina protocols and sequenced with an Illumina HiSeq4000 Sequencing_High Output mode v4.”
MethodGenes and functional GI disorders: from casual to causal relationship
D’Amato, M. (2013) · Neurogastroenterology & Motility · doi:10.1111/nmo.12173 · Cited by 36
Comparison of gene expression profiles in the blood, hippocampus and prefrontal cortex of rats
Witt, S. H., Sommer, W. H., Hansson, A. C., Sticht, C., Rietschel, M., & Witt, C. C. (2013) · In Silico Pharmacology · doi:10.1186/2193-9616-1-15 · Cited by 36
“Background: The comparability of gene expression between blood and brain tissues is a central issue in neuropsychiatric research where the analysis of molecular mechanisms in the brain is of high importance for the understanding of the diseases and the discovery of biomarkers.”
BackgroundG72 primate-specific gene: a still enigmatic element in psychiatric disorders
Sacchi, S., Binelli, G., & Pollegioni, L. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2165-6 · Cited by 37
Wu, C., & Pan, W. (2018) · Genetics · doi:10.1534/genetics.118.300805 · Cited by 38
“…loci have been identified from some recent large GWASs, the identified genetic variants can explain only a small proportion of the heritability (Sullivan et al. 2012; Ripke et al. 2013, 2014; Li et al. 2017), and most of these loci reside in relatively uncharacterized noncoding regions of the…”
BackgroundResultInfluentialAnalysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
Reinbold, C. S., Forstner, A. J., Hecker, J., Fullerton, J. M., Hoffmann, P., Hou, L., Heilbronner, U., Degenhardt, F., Adli, M., Akiyama, K., et al. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00207 · Cited by 36
On‐Chip Ultrasound Modulation of Pyramidal Neuronal Activity in Hippocampal Slices
Lin, Z., Zhou, W., Huang, X., Wang, K., Tang, J., Niu, L., Meng, L., & Zheng, H. (2018) · Advanced Biosystems · doi:10.1002/adbi.201800041 · Cited by 35
Advanced paternal age as a risk factor for neurodevelopmental disorders: a translational study
Krug, A., Wöhr, M., Seffer, D., Rippberger, H., Sungur, A. Ö., Dietsche, B., Stein, F., Sivalingam, S., Forstner, A. J., Witt, S. H., et al. (2020) · Molecular Autism · doi:10.1186/s13229-020-00345-2 · Cited by 38
The association of prenatal and childhood pyrethroid pesticide exposure with school-age ADHD traits
Lee, K., Lim, Y., Lee, Y. A., Shin, C. H., Kim, B.-N., Hong, Y., & Kim, J. I. (2022) · Environment International · doi:10.1016/j.envint.2022.107124 · Cited by 36
Lema, Y. Y., Gamo, N. J., Yang, K., & Ishizuka, K. (2018) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12669 · Cited by 39
“, copy number variations, such as 22q11 and 3q29) may be potentially helpful for prognosis and diagnosis in psychiatry.(6) Meanwhile, since individual genetic risk variants have small effect sizes, they have contributed only modestly to biological studies in psychiatry thus far.”
BackgroundViswanath, B., Rao, N. P., Narayanaswamy, J. C., Sivakumar, P. T., Kandasamy, A., Kesavan, M., Mehta, U. M., Venkatasubramanian, G., John, J. P., Mukherjee, O., et al. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1674-2 · Cited by 33
Early manifestations of genetic risk for neurodevelopmental disorders
Askeland, R. B., Hannigan, L. J., Ask, H., Ayorech, Z., Tesli, M., Corfield, E. C., Magnus, P. M., Njølstad, P. R., Andreassen, O. A., Smith, G. D., et al. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13528 · Cited by 40
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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