The DOI matches its Crossref record; 207 of the 209 references it cites were found in a registry or an index; 5 of the 164 sources its claims cite were checked for support.
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
AI snapshot
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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Claims the paper makes
77 Not checked yet · 32 Own interpretation · 19 No basis given · 3 Own result · 1 Supported · 1 Partly supported · accuracy not yet measured
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
plaindirect- Asserted: passes — The authors put it forward as true.
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In 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
plain- Asserted: passes — The authors put it forward as true.
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In 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
plaincorrelationaln = 3- Asserted: passes — The authors put it forward as true.
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In 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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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 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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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None 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
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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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
“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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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None 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
plain- Asserted: passes — The authors put it forward as true.
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In 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
plainn = 9,240- Asserted: passes — The authors put it forward as true.
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- It may state two separate claims as one. 49
- Probably not a substantial claim. 20
The cited sources support only part of this claim — read each source’s verdict below.
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
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
The paper’s introductory passage (page unavailable) describes APOE as having a much larger effect than other susceptibility alleles, supporting its major contribution. Neither that passage nor the reported associations in Table 1 give a count of 10 loci or estimate that they explain ~20% of total risk variation or ~33% of genetic risk variation. (LLM, conf=0.87)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
The paper describes APOE as a much stronger Alzheimer’s risk locus than the other loci discussed (section labeled Abstract; no page provided), supporting its prominent contribution. It does not state that 10 loci account for approximately 20% of total risk variation or 33% of risk attributable to genetic effects. (LLM, conf=0.86)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
The study text (section labeled Abstract; page unavailable) identifies multiple Alzheimer’s susceptibility loci and describes APOE as the previously known late-onset risk gene. It does not quantify the ten loci’s contribution as ~20% of total risk variation or ~33% of genetically attributable risk, or establish APOE’s share of those estimates. Searches for the percentages and explained genetic variance found no such passage. (LLM, conf=0.78)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
The passage on genetic architecture (indexed under Abstract; page unavailable) identifies ten late-onset Alzheimer’s susceptibility loci, and the Stage 1 passage calls the APOE region the strongest signal. The paper does not report that these loci explain ~20% of total risk variation or ~33% of risk attributable to genetic effects. Its estimate of up to 35% is a population attributable fraction for non-APOE loci, a different measure. (LLM, conf=0.85)
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
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
- Supportedcites [59] Schizophrenia Psychiatric Genome-Wide Association Study Consortium. Genome-wide association study identifies five new schizophrenia loci. Nature Genet. 43, 969–976 (2011). source
The paper reports a highly significant sign test for consistency between discovery and follow-up stages (P < 10−6). It also says its sample was underpowered to detect many susceptibility variants, supporting the sentence’s hedged interpretation (both passages are labeled Abstract in our copy; no page is given). (LLM, conf=0.93)
hedgedcorrelationaln = 4,500- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
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
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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It 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
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It 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.
plainn = 8,000- Asserted: passes — The authors put it forward as true.
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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
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It 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
plainn = 4,500- Asserted: passes — The authors put it forward as true.
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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
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It 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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
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
plainn = 3- Asserted: passes — The authors put it forward as true.
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It 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
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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).
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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
plain- Asserted: passes — The authors put it forward as true.
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It 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
“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
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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
“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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It 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
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably 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
hedgeddirect- Asserted: passes — The authors put it forward as true.
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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.
hedgedcorrelationaln = 9,394- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
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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
hedgedcorrelationaln = 3- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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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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
“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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
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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
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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
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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
plaindirect- Asserted: passes — The authors put it forward as true.
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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
plain- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
hedgedconditional- Asserted: passes — The authors put it forward as true.
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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)
plain- Asserted: passes — The authors put it forward as true.
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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
hedgeddirectn = 9,240- Asserted: passes — The authors put it forward as true.
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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
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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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
hedged- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
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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
plain- Asserted: passes — The authors put it forward as true.
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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
hedgedn = 50,000- Asserted: passes — The authors put it forward as true.
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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
hedged- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably 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.
- 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
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
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
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
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).
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
“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
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. 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
“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
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
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
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It 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
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably 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”
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably 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.
Rated major: it would touch a result — a value a result rests on, reported and recomputed p-values on opposite sides of the significance level, two passages that conflict with no sign which is right, or a cited work retracted before this paper was published.
In the paper
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Common variation
“It is currently not possible to discern or dismiss a role for common genetic variation in risk for ASD.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
“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
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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
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Self-citationInfluence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
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Cited by
Sorted by citations
Items 401–500 of 1,000
Wang, R., Snieder, H., & Hartman, C. A. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01868-3 · Cited by 37
“Family and twin studies have shown that many psychiatric and somatic disorders are heritable, with estimated heritabilities of around 37% for MDD [11], 32% for GAD [12], 46% for BMI [13], and 57%, 67% and 61% for alcohol [6], nicotine [6] and drug dependence [14], respectively.”
BackgroundShen, X., Caramaschi, D., Adams, M. J., Walker, R. M., Min, J. L., Kwong, A. S. F., Hemani, G., Whalley, H. C., Whalley, H. C., Harris, S. E., et al. (2021) · Genome Medicine · doi:10.1016/j.euroneuro.2021.07.038 · Cited by 34
“Genetic factors account for a substantial proportion of differences in liability to depression, which has a twin-based heritability of approximately 37% and with common genetic variants capturing around 6–10% of phenotypic variance [2, 3].”
Backgroundvan der Meer, D., & Kaufmann, T. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02193-5 · Cited by 35
“Generally, highly heritable psychiatric disorders [107] such as schizophrenia, bipolar disorder, and major depression are associated with smaller area and thinner cortices [4–6].”
BackgroundHess, J., & Glatt, S. J. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32207 · Cited by 33
“Beyond the core features that differ between SZ and BD, recent evidence indicates these disorders likely share genetic underpinnings [Berrettini, 2004; Murray et al., 2004; Sullivan et al., 2012].”
BackgroundA survey of rare coding variants in candidate genes in schizophrenia by deep sequencing
Hu, X., Zhang, B., Liu, W., Paciga, S. A., He, W., Lanz, T. A., Kleiman, R. J., Dougherty, B. A., Hall, S. K., McIntosh, A. M., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.131 · Cited by 34
Forstner, A. J., Rambau, S., Friedrich, N., Ludwig, K. U., Böhmer, A. C., Mangold, E., Maaser, A., Hess, T., Kleiman, A., Bittner, A., et al. (2017) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000171 · Cited by 33
“The selection criteria were as follows: (i) genome-wide significant associations in GWAS of bipolar disorder (n= 11 SNPs, Sullivan et al., 2012; Green et al., 2013; Muhleisen et al., 2014) or in GWAS across five psychiatric disorders (n= 4 SNPs, Cross-Disorder Group of the Psychiatric Genomics…”
InfluentialSavage, J. E., Salvatore, J. E., Alıev, F., Edwards, A. C., Hickman, M., Kendler, K. S., Macleod, J., Latvala, A., Loukola, A., Kaprio, J. A., et al. (2018) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13589 · Cited by 37
“Current evidence indicates that AUDs have a complex, highly polygenic architecture driven by the aggregation of hundreds or thousands of common genetic variants of very small individual effect (Sullivan et al., 2012).”
Guyatt, A. L., Stergiakouli, E., Martin, J., Walters, J., O’Donovan, M. C., Owen, M. J., Thapar, A., Kirov, G., Rodrı́guez, S., Rai, D., et al. (2018) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32637 · Cited by 35
Self-citationVRK2, a Candidate Gene for Psychiatric and Neurological Disorders
Li, M., & Yue, W. (2018) · Complex Psychiatry · doi:10.1159/000493941 · Cited by 37
Starr, L. R., Stroud, C. B., Shaw, Z. A., & Vrshek‐Schallhorn, S. (2020) · Development and Psychopathology · doi:10.1017/s0954579420000474 · Cited by 36
PCM1 is necessary for focal ciliary integrity and is a candidate for severe schizophrenia
Monroe, T. O., Garrett, M. E., Kousi, M., Rodriguiz, R. M., Moon, S., Bai, Y., Brodar, C., Soldano, K. L., Savage, J. H., Hansen, T. F., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19637-5 · Cited by 35
Self-citationWackerhagen, C., Wüstenberg, T., Mohnke, S., Erk, S., Veer, I. M., Kruschwitz, J. D., Garbusow, M., Romund, L., Otto, K., Schweiger, J. I., et al. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.59 · Cited by 33
“Although the heritability of depression is relatively low (Sullivan et al, 2012) and no single nucleotide polymorphism has yet been significantly associated with MDD in genomewide studies (Levinson et al, 2014), there is robust evidence of increased familial load (Sullivan et al, 2000).”
BackgroundSmedler, E., Louhivuori, L., Romanov, R. A., Masini, D., Dehnisch Ellström, I., Wang, C., Caramia, M., West, Z., Zhang, S., Rebellato, P., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2108768119 · Cited by 34
Neuroimaging and plasticity in schizophrenia
Meyer-Lindenberg, A., & Tost, H. (2014) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-139014 · Cited by 33
Xu, R., & Wang, Q. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.06.027 · Cited by 33
“Human genomics and genetics studies have recently identified a large number of genetic risk factors for psychiatric disorders [47].”
BackgroundA joint study of whole exome sequencing and structural MRI analysis in major depressive disorder
Zhang, Y., Li, M., Wang, Q., Hsu, J. S., Deng, W., Ma, X., Ni, P., Zhao, L., Tian, Y., Sham, P. C., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291719000072 · Cited by 33
“It is therefore recommended that genetics of MDD should be studied using ‘a balanced portfolio of methods’ (Sullivan et al., 2012).”
MethodPharmacotherapies and Personalized Medicine for Alcohol Use Disorder: A Review
Lohoff, F. W. (2020) · Pharmacogenomics · doi:10.2217/pgs-2020-0079 · Cited by 37
Myelination-related genes are associated with decreased white matter integrity in schizophrenia
Chavarría‐Siles, I., White, T. J. H., de Leeuw, C., Goudriaan, A., Lips, E. H., Ehrlich, S., Turner, J. A., Calhoun, V. D., Gollub, R. L., Magnotta, V. A., et al. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.120 · Cited by 33
Carbonyl stress and schizophrenia
Arai, M., Miyashita, M., Kobori, A., Toriumi, K., Horiuchi, Y., & Itokawa, M. (2014) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12216 · Cited by 32
“A robust susceptibility gene for schizophrenia has yet to be identified, although candidate polymorphisms and chromosomal regions associated with this disease have been reported from multi-center genome-wide association studies, conducted using large-scale samples.(7,8,38) A serious problem in the genetic research of…”
BackgroundHaggarty, S. J., & Perlis, R. H. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.05.028 · Cited by 32
“Recent advances in human genetics have led to an explosion of our understanding of the role that genetic (3), and epigenetic (4), variation plays in determining the susceptibility to a wide range of psychiatric disorders.”
BackgroundVaidyanathan, U., Vrieze, S. I., & Iacono, W. G. (2015) · Psychological Inquiry · doi:10.1080/1047840x.2015.1015367 · Cited by 36
Childhood-Onset Schizophrenia: Insights from Induced Pluripotent Stem Cells
Hoffmann, A., Ziller, M. J., & Spengler, D. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19123829 · Cited by 30
“Heritability for AOS is about 60% and 80% in national family [36,37] and twin studies [38,39].”
BackgroundIntegrating Genomics into Psychiatric Practice: Ethical and Legal Challenges for Clinicians
Ward, E. T., Kostick, K. M., & Lázaro‐Muñoz, G. (2019) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000203 · Cited by 34
Genome-wide Burden of Rare Short Deletions Is Enriched in Major Depressive Disorder in Four Cohorts
Zhang, X., Abdellaoui, A., Rucker, J., de Jong, S., Potash, J. B., Weissman, M. M., Shi, J., Knowles, J. A., Pato, C. N., Pato, M. T., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.02.022 · Cited by 32
“Heritability is approximately 37%, lower than that of several other psychiatric disorders (3).”
Recent advances of induced pluripotent stem cells application in neurodegenerative diseases
Amin, N., Tan, X., Ren, Q., Zhu, N., Botchway, B. O. A., Hu, Z., & Fang, M. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109674 · Cited by 36
Genetics in the ADHD Clinic: How Can Genetic Testing Support the Current Clinical Practice?
Balogh, L., Pulay, A. J., & Réthelyi, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.751041 · Cited by 37
Genetic and environmental influences on rumination and its covariation with depression
Johnson, D. P., Whisman, M. A., Corley, R. P., Hewitt, J. K., & Friedman, N. P. (2014) · Cognition & Emotion · doi:10.1080/02699931.2014.881325 · Cited by 32
Kimura, H., Tsuboi, D., Wang, C., Kushima, I., Koide, T., Ikeda, M., Iwayama, Y., Toyota, T., Yamamoto, N., Kunimoto, S., et al. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu147 · Cited by 33
“We considered that the S214F variant of NDE1 could contribute to the pathophysiology of SCZ by affecting NDE1 protein functions based on the following: (1) NDE1 and the homolog protein NDEL1 are highly similar35 and are centrosomal phosphoproteins with reported roles in cell proliferation and migration28,32; (2) YWHAE…”
BackgroundJenkins, A. K., Apud, J. A., Zhang, F., Decot, H., Weinberger, D. R., & Law, A. J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.65 · Cited by 31
“Schizophrenia is a chronic psychiatric illness, with complex neurodevelopmental and genetic origins (Weinberger, 1987; Prathikanti and Weinberger, 2005; Sullivan et al, 2012; Owen, 2012).”
BackgroundRecent developments in the genetics of attention‐deficit hyperactivity disorder
Grimm, O., Kittel‐Schneider, S., & Reif, A. (2018) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12673 · Cited by 36
“This compares to other psychiatric disorders, such as Alzheimer’s disease (58%), major depression (37%), alcohol dependence (57%), autism spectrum disorder (80%), bipolar disorder (75%), and schizophrenia (81%).(29) Therefore, ADHD seems to have a stronger heritability than several other psychiatric disorders ranging…”
BackgroundResultAssociation Between Autozygosity and Major Depression: Stratification Due to Religious Assortment
Abdellaoui, A., Hottenga, J., Xiao, X., Scheet, P. A., Ehli, E. A., Davies, G. E., Hudziak, J. J., Smit, D. J. A., Bartels, M., Willemsen, G. A. H. M., et al. (2013) · Behavior Genetics · doi:10.1007/s10519-013-9610-1 · Cited by 31
“(Lubke et al. 2012; Sullivan et al. 2000), and has had limited success in identifying reliably associated genetic variants (Ripke et al. 2012; Sullivan et al. 2012).”
Self-citationIdentification of SLC25A37 as a major depressive disorder risk gene
Huo, Y., Huang, L., Zhang, D., Yao, Y., Fang, Y., Zhang, C., & Luo, X. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.09.011 · Cited by 32
Vivian‐Griffiths, T., Baker, E. A., Schmidt, K. M., Bracher‐Smith, M., Walters, J., Artemiou, A., Holmans, P., O’Donovan, M. C., Owen, M. J., Pocklington, A. J., et al. (2018) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32705 · Cited by 32
Self-citationGenetics of Autism Spectrum Disorders
Rutter, M., & Thapar, A. (2014) · Handbook of Autism and Pervasive Developmental Disorders, Fourth Edition · doi:10.1002/9781118911389.hautc17 · Cited by 31
Pharmacogenomics of Bipolar Disorder
Severino, G., Squassina, A., Costa, M. F., Pisanu, C., Calza, S., Alda, M., Zompo, M. D., & Manchia, M. (2013) · Pharmacogenomics · doi:10.2217/pgs.13.51 · Cited by 30
Kovács, D., Gonda, X., Petschner, P., Édes, A. E., Eszlári, N., Bagdy, G., & Juhász, G. (2014) · Annals of General Psychiatry · doi:10.1186/1744-859x-13-17 · Cited by 31
“Nonetheless, rare genetic variants generally have a larger impact; so, this might give us hope to identify genetic variants with more impressing effects, although the current sample sizes of most studies are too small to detect them [6].”
BackgroundGenome Engineering with TALE and CRISPR Systems in Neuroscience
Lee, H. B., Sundberg, B. N., Sigafoos, A. N., & Clark, K. J. (2016) · Frontiers in Genetics · doi:10.3389/fgene.2016.00047 · Cited by 33
Calabrò, M., Mandelli, L., Crisafulli, C., Sidoti, A., Jun, T., Lee, S.-J., Han, C., Patkar, A. A., Masand, P. S., Pae, C., et al. (2016) · Neuropsychobiology · doi:10.1159/000468543 · Cited by 34
Genetic susceptibility in obsessive-compulsive disorder
Fernandez, T. V., Leckman, J. F., & Pittenger, C. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64076-5.00049-1 · Cited by 34
Richards, A. L., Horwood, L. J., Boden, J. M., Kennedy, M. A., Sellers, R., Riglin, L., Mistry, S., Jones, H. J., Smıth, D. J., Zammit, S., et al. (2018) · The British Journal of Psychiatry · doi:10.1192/bjp.2018.227 · Cited by 26
“1 2 – 4 At the individual level, the risk attributable to these alleles can be indexed by calculating polygenic risk scores (PRSs).”
BackgroundSelf-citationGut microbiome at the crossroad of genetic variants and behavior disorders
Cheng, L., Wu, H., Chen, Z., Hao, H., & Zheng, X. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2201156 · Cited by 29
Theory of mind network activity is altered in subjects with familial liability for schizophrenia
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A Genomically Informed Education System? Challenges for Behavioral Genetics
Sabatello, M. (2018) · The Journal of Law Medicine & Ethics · doi:10.1177/1073110518766027 · Cited by 34
A Screen for Synaptic Growth Mutants Reveals Mechanisms That Stabilize Synaptic Strength
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The Candidate Schizophrenia Risk Gene DGCR2 Regulates Early Steps of Corticogenesis
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Psychosis as an Evolutionary Adaptive Mechanism to Changing Environments
Scheepers, F. E., de Mul, J., Boer, F., & Hoogendijk, W. J. G. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00237 · Cited by 35
“Moreover, findings were not always specific for psychotic disorders, which means that multiple genes, EEG/MRI, and physiological changes were also found in other psychiatric disorders (10) and/or (to a lesser extent) in siblings without psychiatric symptoms or healthy controls (11).”
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Biological pathways and genetic mechanisms involved in social functioning
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“with a known pathophysiology or structural pathology) [14] may appear in different components of the model reflecting diverse processes.”
BackgroundGe, T., Nichols, T. E., Ghosh, D., Mormino, E. C., Smoller, J. W., & Sabuncu, M. R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.029 · Cited by 31
“First, converging evidence has shown that many complex brain disorders are polygenic and in fl uenced by up to thousands of genetic variants with small effects (Purcell et al., 2009; Sullivan et al., 2012).”
Genome‐wide association study of atypical psychosis
Kanazawa, T., Ikeda, M., Glatt, S. J., Tsutsumi, A., Kikuyama, H., Kawamura, Y., Nishida, N., Miyagawa, T., Hashimoto, R., Takeda, M., et al. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32164 · Cited by 29
“Beyond their clinical, behavioral, and biological similarities, there is recent evidence that these disorders also share genetic underpinnings [Berrettini, 2004; Murray et al., 2004; Sullivan et al., 2012].”
BackgroundBenzerouk, F., Gierski, F., Gorwood, P. A. P. M., Ramoz, N., Stefaniak, N., Hubsch, B., Kaladjian, A., & Limosin, F. (2013) · Alcohol · doi:10.1016/j.alcohol.2013.03.001 · Cited by 29
Neuropsychiatric genetics in developing countries: Current challenges
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The Importance of Non-neuronal Cell Types in hiPSC-Based Disease Modeling and Drug Screening
Gonzalez, D. M., Gregory, J. K., & Brennand, K. (2017) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2017.00117 · Cited by 26
“Many neurological diseases are complex and heterogeneous in nature, exhibiting a breadth of genetic and epigenetic variants of small effect sizes which incompatible and/or impractical to model using traditional in vitro and in vivomodels (Sullivan et al., 2012; Fass et al., 2014).”
BackgroundYu, C., Arcos‐Burgos, M., Baune, B. T., Arolt, V., Dannlowski, U., Wong, M., & Licinio, J. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0117-7 · Cited by 30
Psychiatric genetics researchers' views on offering return of results to individual participants
Kostick, K. M., Brannan, C., Pereira, S., & Lázaro‐Muñoz, G. (2018) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32682 · Cited by 25
Convergent Evidence That ZNF804A Is a Regulator of Pre-messenger RNA Processing and Gene Expression
Chapman, R. M., Tinsley, C. L., Hill, M., Forrest, M. P., Tansey, K. E., Pardiñas, A. F., Rees, E., Doyle, A. M., Wilkinson, L. S., Owen, M. J., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby183 · Cited by 26
“3 Risk is conferred by many common alleles of individually weak effect (collectively accounting for up to 40% of disease liability 4 ), as well as rare alleles, some of stronger effect.”
Self-citationFrank, P., Ajnakina, O., Steptoe, A., & Cadar, D. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0815-9 · Cited by 29
Lencz, T., Yu, J., Khan, R. R., Flaherty, E. K., Carmi, S., Lam, M., Ben‐Avraham, D., Barzilai, N., Bressman, S., Darvasi, A., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.03.004 · Cited by 30
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“GWAS have produced fundamental knowledge about the genetic basis of psychiatric disorders [along with the methods to extract such knowledge; Sullivan et al., 2012], including the landmark paper in Nature which reported on the discovery of 108 genome-wide significant loci for schizophrenia in 36,000 cases and 113,000 c…”
BackgroundMethodInfluentialSacchetti, E., Scassellati, C., Minelli, A., Valsecchi, P., Bonvicini, C., Pasqualetti, P., Galluzzo, A., Pioli, R., & Gennarelli, M. (2013) · BMC Medical Genetics · doi:10.1186/1471-2350-14-33 · Cited by 27
“Moreover, the Psychiatric Genomics Consortium (PGC) recently published mega-analyses for schizophrenia including 9,394 cases and 12,462 controls that were combined in a single analysis, and the top 81 statistically independent loci from that analysis were then tested in over 8,000 cases [11].”
MethodClassifying psychosis – Challenges and opportunities
Gäebel, W., Zielasek, J., & Cleveland, H.-R. (2012) · International Review of Psychiatry · doi:10.3109/09540261.2012.737313 · Cited by 28
Genetics of Alcohol Dependence: A Review of Clinical Studies
Samochowiec, J., Samochowiec, A., Puls, I., Bieńkowski, P., & Schott, B. H. (2014) · Neuropsychobiology · doi:10.1159/000364826 · Cited by 30
Back to basics: luring industry back into neuroscience
Hyman, S. E. (2016) · Nature Neuroscience · doi:10.1038/nn.4429 · Cited by 27
Reproductive fitness and genetic risk of psychiatric disorders in the general population
Mullins, N., Ingason, A., Porter, H. F., Euesden, J., Gillett, A. C., Ólafsson, S., Gudbjartsson, D. F., Lewis, C. M., Sigurðsson, E., Sæmundsen, E., et al. (2017) · Nature Communications · doi:10.1038/ncomms15833 · Cited by 28
Overdispersed gene expression in schizophrenia
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Park, Y., Shekhtman, T., & Kelsoe, J. R. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01010-1 · Cited by 30
A missense variant in NDUFA6 confers schizophrenia risk by affecting YY1 binding and NAGA expression
Li, Y., Ma, C., Li, W., Yang, Y., Li, X., Liu, J., Wang, J., Li, S., Liu, Y., Li, K., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01125-x · Cited by 27
“It has a higher heritability compared with other mental disorders [2], indicating the critical roles of the inherited genetic variants in schizophrenia.”
BackgroundGenetic and functional analysis reveals TENM4 contributes to schizophrenia
Yi, X., Li, M., He, G., Du, H., Li, X., Cao, D., Wang, L., Wu, X., Yang, F., Chen, X., et al. (2021) · iScience · doi:10.1016/j.isci.2021.103063 · Cited by 32
The Long Non-Coding RNA GOMAFU in Schizophrenia: Function, Disease Risk, and Beyond
Zakutansky, P. M., & Feng, Y. (2022) · Cells · doi:10.3390/cells11121949 · Cited by 27
“The complex multifactorial etiology of SZ, which integrates genetic alterations, biological dysfunctions, and environmental factors, is poorly understood [19,20].”
BackgroundYu, C., Arcos‐Burgos, M., Licinio, J., & Wong, M. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.102 · Cited by 27
Wu, C., & Pan, W. (2018) · Genetic Epidemiology · doi:10.1002/gepi.22110 · Cited by 28
“SCZ is a major chronic and severe mental disorder that is associated with considerable morbidity and mortality (Tiihonen et al., 2009) and affects about 1% of the population.”
BackgroundEtemadikhah, M., Niazi, A., Wetterberg, L., & Feuk, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-57467-z · Cited by 30
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Polygenic risk for alcohol misuse is moderated by romantic partnerships
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Schizoaffective Disorder: A Review
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“44,45 SAD is usually included as an adjunctive phenotype when the main focus of the study is schizophrenia or bipolar disorder.”
Candidate gene associations with mood disorder, cognitive vulnerability, and fronto‐limbic volumes
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“While the present study did not replicate associations between the CACNA1C polymorphism and mood disorder, this is likely due to the need for very large samples to detect weak associations between candidate polymorphisms and neuropsychiatric diagnoses (Ferreira et al. 2008; Sullivan et al. 2012).”
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“During the last decade, a growing number of genetic variants was found to be associated with an increased risk for mental illness (Sullivan et al., 2012).”
BackgroundNew Genes and New Insights from Old Genes
Ringman, J. M., & Coppola, G. (2013) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/01.con.0000429179.21977.a1 · Cited by 27
The Future is The Past: Methylation QTLs in Schizophrenia
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“The advent of high-throughput genotyping technologies has provided important insights into the genetic architecture of SCZ, bipolar disorder (BIP), and major depression (MDD) [2].”
BackgroundInfluentialYılmaz, Z., Szatkiewicz, J. P., Crowley, J. J., Ancalade, N., Brandys, M. K., Elburg, A. A. V., de Kovel, C. G. F., Adan, R. A. H., Hinney, A., Hebebrand, J., et al. (2017) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000172 · Cited by 28
“We examined AN cases for large CNVs previously reported to be associated with schizophrenia, autism, intellectual disability, or developmental delay (Cooper et al., 2011; Levinson et al., 2011; Sanders et al., 2011; Malhotra and Sebat, 2012; Sullivan et al., 2012) (Table 1).”
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Association analysis of the Cadherin13 gene with schizophrenia in the Japanese population
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“Recent genome-wide association study (GWASs) has shown that common variants of single nucleotide polymorphisms (SNPs) with relatively weak effects may be associated with schizophrenia.(3) Meanwhile, it is well established that macroscopic abnormalities, such as volume reductions of the prefrontal cortex, hippocampus,…”
Vaidyanathan, U., Malone, S. M., Donnelly, J. M., Hammer, M. A., Miller, M. B., McGue, M., & Iacono, W. (2014) · Psychophysiology · doi:10.1111/psyp.12347 · Cited by 26
A Genetic Deconstruction of Neurocognitive Traits in Schizophrenia and Bipolar Disorder
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“Genetic susceptibility plays a major role in SCZ and BPD but the identification of genetic factors is obscured by a complex and polygenic architecture [10,11].”
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Copy Number Variants and Polygenic Risk Scores Predict Need of Care in Autism and/or ADHD Families
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A new 3-hit mouse model of schizophrenia built on genetic, early and late factors
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Biological pathways and networks implicated in psychiatric disorders
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Self-citationWillert, A., Mohnke, S., Erk, S., Schnell, K., Romanczuk‐Seiferth, N., Quinlivan, E., Schreiter, S., Spengler, S., Herold, D., Wackerhagen, C., et al. (2015) · Bipolar Disorders · doi:10.1111/bdi.12352 · Cited by 26
“The heritability of BD is estimated to be about 75% (17), suggesting ToM functioning may be related to genetic risk for BD, and it could represent an intermediate phenotype of the disease.”
BackgroundQuantitative Trait Loci and a Novel Genetic Candidate for Fear Learning
Knoll, A. T., Halladay, L. R., Holmes, A., & Levitt, P. R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0177-16.2016 · Cited by 24
“…conditions, there have been challenges with replication, “missing heritability,” deciphering molecular mechanisms that affect brain function, and determining the role of risk variants across related and comorbid disorders (Sullivan et al., 2012; Zuk et al., 2014; Logue et al., 2015; Smoller, 2016).”
BackgroundCross-Disorder Psychiatric Genomics
Docherty, A. R., Moscati, A., & Fanous, A. H. (2016) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-016-0084-3 · Cited by 26
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Metadata
- Authors
- Sullivan, P. F., Daly, M. J., & O'Donovan, M.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Harvard University (US)
- Corresponding author
- Sullivan, Patrick F.
- Venue
- Nature Reviews Genetics
- Published
- 2012-07-10
- Volume
- 13
- Issue
- 8
- Pages
- 537-551
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC4110909
- OpenAlex
- W2017826413
- Semantic Scholar
- 0daf00932712fc6331a171911cea4681ab7a668e
- Cited by
- 1,177
- References
- 209
- Citations by year
- 2026: 35 · 2025: 56 · 2024: 37 · 2023: 41 · 2022: 58 · 2021: 68 · 2020: 84 · 2019: 91 · 2018: 103 · 2017: 107 · 2016: 107 · 2015: 127 · 2014: 150 · 2013: 90 · 2012: 21
- FWCI
- 15.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- Wellcome Trust
- National Institutes of Health
- Medical Research Council
- National Institute of Mental Health (R01MH077139, U01MH085520, MH085520, MH077139)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- mental illness, genetic architecture, genome-wide association study, structural variants, exome sequencing, Alzheimer's disease, attention deficit hyperactivity disorder, alcoholism, anorexia nervosa, autism spectrum disorder, bipolar disorder, major depressive disorder, nicotine dependence, schizophrenia, genetic aetiology
- MeSH terms
- Alcoholism, Alzheimer Disease, Anorexia Nervosa, Attention Deficit Disorder with Hyperactivity, Mental Disorders, Bipolar Disorder, Child, Child Development Disorders, Pervasive, Major Depressive Disorder, Humans, Models, Genetic, Schizophrenia, Tobacco Use Disorder
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