The DOI matches its Crossref record; 207 of the 209 references it cites were found in a registry or an index; none of the 164 sources its claims cite is checked for support yet.
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.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 164 cited sources checked · 0 supported · 0 flagged
In the paper
“The proportion of variance explained by the risk profile score increased with relaxation of the significance thresholds.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“As an important test of specificity, the SCZ risk profile was not predictive of case status for any of six non-psychiatric diseases. 177”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [177] The Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661–678 (2007). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“In three independent GWAS, SCZ cases had significantly higher risk profile scores than controls.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“A novel association for SCZ is in Ensembl gene RP11-490G2.1 which encodes the primary transcript for miR-137 (MIR137). 62”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [62] Zhong, L., Cherry, T., Bies, C. E., Florence, M. A. & Gerges, N. Z. Neurogranin enhances synaptic strength through its interaction with calmodulin. EMBO J. 28, 3027–3039 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For SCZ, the strongest association is in the extended MHC region (chr6:27–33 Mb).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Karyotyping studies suggested that on the order of 5% of ASD cases have one of a large number of rare but relatively gross chromosomal abnormalities. 14,78”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [14] Vorstman, J. A. et al. Identification of novel autism candidate regions through analysis of reported cytogenetic abnormalities associated with autism. Mol. Psychiatry 11, 18–28 (2006). source
- Not checked yetcites [78] Stahl, E. A. et al. Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis. Nature Genet. 44, 483–489 (2012). source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Combined analysis of the PGC BIP and SCZ samples strengthened the association in the CACNA1C region.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Indeed, multiple voltage gated calcium channel subunits were among the top 34 loci followed up in the BIP GWAS.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Unexpectedly, simplex and multiplex ASD pedigrees show relatively similar de novo mutation rates for SV 80,81 and exonic variation. 83–85”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
What the sources say
- Not checked yetcites [80] Betancur, C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 1380, 42–77 (2011). source
- Not checked yetcites [81] Sanders, S. J. et al. Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism. Neuron 70, 863–885 (2011). There have been many excellent studies of CNVs in autism. This is one of the largest and is particularly technically well done. The authors report compelling findings regarding specific CNVs and a greater burden of rare CNVs in cases with ASD. source
- Not checked yetcites [83] Marshall, C. R. et al. Structural variation of chromosomes in autism spectrum disorder. Am. J. Hum. Genet. 82, 477–488 (2008). source
- Not checked yetcites [84] Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). source
- Not checked yetcites [85] O'Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“The PGC GWAS mega-analysis of 9,240 MDD cases and 9,519 controls (replication in 6,783 MDD cases) revealed no findings of genome-wide significance. 108”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
What the sources say
- Not checked yetcites [108] Fowler, C. D., Lu, Q., Johnson, P. M., Marks, M. J. & Kenny, P. J. Habenular α5 nicotinic receptor subunit signalling controls nicotine intake. Nature 471, 597–601 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 49
- Probably not a substantial claim. 20
In the paper
“One report found more rare SV in SCZ cases (odds ratio, OR=1.15), particularly for large deletions (OR=3.6). 48”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [48] International Schizophrenia Consortium. Rare chromosomal deletions and duplications increase risk of schizophrenia. Nature 455, 237–241 (2008). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Finally, estimates from two different methods indicated that the risk profile component for SCZ contributes between a quarter and a third of the overall variance in liability to SCZ, 69,130 a substantial fraction of the 65–81% heritability of SCZ. 179,180”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
- Not checked yetcites [130] Kim, Y., Zerwas, S., Trace, S. E. & Sullivan, P. F. Schizophrenia genetics: where next? Schizophr. Bull. 37, 456–463 (2011). source
- Not checked yetcites [179] Sullivan, P. F., Kendler, K. S. & Neale, M. C. Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Arch. Gen. Psychiatry 60, 1187–1192 (2003). source
- Not checked yetcites [180] Lichtenstein, P. et al. Common genetic influences for schizophrenia and bipolar disorder: a population-based study of 2 million nuclear families. Lancet 373, 234–239 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“De novo SV may be relevant in BIP (OR=4.8), particularly in cases with earlier ages of onset (OR=6.3). 53”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [53] Malhotra, D. et al. High frequencies of de novo CNVs in bipolar disorder and schizophrenia. Neuron 72, 951–963 (2011). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“In SCZ, 9,394 cases and 12,462 controls were combined in a single analysis and the top 81 statistically independent loci from that analysis were then tested in over 8,000 cases. The mega-analysis identified seven significant loci (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [58] Need, A. C. et al. Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophrenia. Am. J. Hum. Genet. (in the press). In the largest study yet reported, the authors report exome resequencing of 166 cases with schizophrenia enriched for strong family histories of illness and treatment non-response. No definitive associations were identified: this intriguing finding makes the 'many Mendelians' model of this disorder far less tenable.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Two small exome sequencing studies 56,57 reported rates of putatively functional mutations that exceeded null expectations in SCZ cases (although the rate of de novo point mutations was not elevated in cases and specific genes were not identified).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [56] Girard, S. L. et al. Increased exonic de novo mutation rate in individuals with schizophrenia. Nature Genet. 43, 860–863 (2011). source
- Not checked yetcites [57] Xu, B. et al. Exome sequencing supports a de novo mutational paradigm for schizophrenia. Nature Genet. 43, 864–868 (2011). source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“For BIP, the discovery phase consisted of 7,481 cases and 9,250 controls with follow-up of 34 statistically independent loci in around 4,500 cases. Two loci exceeded genome-wide significance (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [59] Schizophrenia Psychiatric Genome-Wide Association Study Consortium. Genome-wide association study identifies five new schizophrenia loci. Nature Genet. 43, 969–976 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Supporting the hypothesis that this association implicates MIR137, predicted targets of miR-137 were significantly enriched for smaller GWAS p-values (p<0.01), and four of the genes that achieved genome-wide significance contain verified miR-137 binding sites. 63”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [63] Bemis, L. T. et al. MicroRNA-137 targets microphthalmia-associated transcription factor in melanoma cell lines. Cancer Res. 68, 1362–1368 (2008). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Intriguingly, there are three instances of ASD cases with de novo deletions of 16p11.2 who also had an affected sibling without this deletion 157–159 along with similar observations for SV in 1q21.1 and 17p12. 158”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
What the sources say
- Not checked yetcites [157] Ott, J. Analysis of Human Genetic Linkage (Johns Hopkins Univ. Press, 1999). source
- Not checked yetcites [158] Weiss, L. A. et al. Association between microdeletion and microduplication at 16p11.2 and autism. N. Engl. J. Med. 358, 667–675 (2008). source
- Not checked yetcites [159] Szatmari, P. et al. Mapping autism risk loci using genetic linkage and chromosomal rearrangements. Nature Genet. 39, 319–328 (2007). source
Strength:plain· not yet calibratedn = 3Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, 5.8% of ASD probands had ≥1 rare de novo SV versus 1.7% of their unaffected siblings (OR=3.5), and this difference was more pronounced for SV that intersected genes. 80”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [80] Betancur, C. Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 1380, 42–77 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“As part of the TAG consortium, 92 we determined that the components of the Fagerstrom Test for Nicotine Dependence (a measure of NIC) had heritabilities ranging from relatively high to near zero with important common environmental effects.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alcohol and Nicotine Dependence (ALC & NIC)
What the sources say
- Not checked yetcites [92] American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 1994).
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Specifically, there are now multiple high-confidence SV (Table 2), rare exonic variants (currently only for ASD, AD, and ALC), and an increasing number of robustly significant and replicated common variants (Table 3).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“the 10 loci identified to date account for ~20% of the total variation in risk or ~33% of the risk attributable to genetic effects, with the major contribution being from APOE”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [33] Harold, D. et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease. Nature Genet. 41, 1088–1093 (2009). source
- Not checked yetcites [34] Lambert, J. C. et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease. Nature Genet. 41, 1094–1099 (2009). source
- Not checked yetcites [35] Hollingworth, P. et al. Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease. Nature Genet. 43, 429–435 (2011). source
- Not checked yetcites [36] Naj, A. C. et al. Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease. Nature Genet. 43, 436–441 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These advances have mostly been via genome-wide association (GWAS) and structural variation (SV) studies”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“None is fully penetrant, and nearly all appear to be non-specific as risk is often increased for SCZ, ASD, developmental delay, mental retardation, epilepsy, somatic dysmorphism, and extremes of body mass and head size.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“A sign test for consistency between the mega-analysis and follow-up stage was highly significant, implying that many of the 81 top loci include true risk loci but that power was insufficient.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [58] Need, A. C. et al. Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophrenia. Am. J. Hum. Genet. (in the press). In the largest study yet reported, the authors report exome resequencing of 166 cases with schizophrenia enriched for strong family histories of illness and treatment non-response. No definitive associations were identified: this intriguing finding makes the 'many Mendelians' model of this disorder far less tenable.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For BIP, there are reports of increased 51–53 and similar SV burden in cases versus controls 54,55”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Rare variation
What the sources say
- Not checked yetcites [51] Zhang, D. et al. Singleton deletions throughout the genome increase risk of bipolar disorder. Mol. Psychiatry 14, 376–380 (2009). source
- Not checked yetcites [52] Priebe, L. et al. Genome-wide survey implicates the influence of copy number variants (CNVs) in the development of early-onset bipolar disorder. Mol. Psychiatry 17, 421–432 (2011). source
- Not checked yetcites [53] Malhotra, D. et al. High frequencies of de novo CNVs in bipolar disorder and schizophrenia. Neuron 72, 951–963 (2011). source
- Not checked yetcites [54] Grozeva, D. et al. Rare copy number variants: a point of rarity in genetic risk for bipolar disorder and schizophrenia. Arch. Gen. Psychiatry 67, 318–327 (2010). source
- Not checked yetcites [55] McQuillin, A. et al. Analysis of genetic deletions and duplications in the University College London bipolar disorder case control sample. Eur. J. Hum. Genet. 19, 588–592 (2011). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This implies that sample sizes are insufficient and that additional loci can be discovered in larger samples.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This suggests the discovery sample was insufficiently large to identify many true risk loci at even nominal levels of significance: adding more SNPs contributed more genetic signal than noise.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Remarkably, the same set of markers also discriminated BIP cases from controls indicating substantial genetic contributions between SCZ and BIP.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alzheimer’s Disease (AD) > Common variation
What the sources say
- Not checked yetcites [69] Yue, W. H. et al. Genome-wide association study identifies a susceptibility locus for schizophrenia in Han Chinese at 11p11.2. Nature Genet. 43, 1228–1231 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The evidence for association is compelling but high gene density and exceptionally high linkage disequilibrium complicate the identification of specific sequence variation.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Further, results from SGENE+ 60 implicate NRGN (neurogranin) which may act as a calcium sensor. 61”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [60] Psychiatric GWAS Consortium Bipolar Disorder Working Group. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nature Genet. 43, 977–983 (2011). These two papers are the largest and most comprehensive GWAS mega-analyses conducted for psychotic disorders. source
- Not checked yetcites [61] Stefansson, H. et al. Common variants conferring risk of schizophrenia. Nature 460, 744–747 (2009). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Similarly, a sign test between the discovery and follow-up results was highly significant, again suggesting insufficient power. 59”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Psychotic Disorders (BIP and SCZ) > Common variation
What the sources say
- Not checked yetcites [59] Schizophrenia Psychiatric Genome-Wide Association Study Consortium. Genome-wide association study identifies five new schizophrenia loci. Nature Genet. 43, 969–976 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Intriguingly, all three studies noted an increased rate of de novo exonic mutations in older parents (with the mutations generally being of paternal origin), 83–85”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
What the sources say
- Not checked yetcites [83] Marshall, C. R. et al. Structural variation of chromosomes in autism spectrum disorder. Am. J. Hum. Genet. 82, 477–488 (2008). source
- Not checked yetcites [84] Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). source
- Not checked yetcites [85] O'Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A focus on multiplex pedigrees has led to the identification of specific mutations underlying hundreds of Mendelian disorders (including ASD and AD).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The 16p11.2 SV associated with ASD and SCZ has been termed a “mirror image” SV since the deletion and duplication are associated with increased and reduced head and body size.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, it is difficult to understand the clinical features of ASD and SCZ as mirror images and, more importantly, ASD is associated with both 16p11.2 deletions and duplications.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Autism Spectrum Disorders (ASD) > Rare variation
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Simplex-based ascertainment is tailored to evaluate de novo mutations, and predicated on a model in which disorder with dramatically reduced fecundity and a proven role of de novo SV might be explicable as a series of Mendelian disorders attributable to recent high-penetrance mutations in any of a large number of genes.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It has also been pointed out that de novo events must confer risk in multiplex families, as such mutations increase the chance that an individual is affected and increase risk in that person’s offspring.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Introduction
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“For ALC, the published GWAS are small and no large-scale meta-analysis has been conducted. 93–97”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Alcohol and Nicotine Dependence (ALC & NIC)
What the sources say
- Not checked yetcites [93] Tobacco and Genetics Consortium. Meta-analyses of genome-wide association studies implicate multiple loci for smoking behavior. Nature Genet. 42, 441–447 (2010). source
- Not checked yetcites [94] Edenberg, H. J. et al. Genome-wide association study of alcohol dependence implicates a region on chromosome 11. Alcohol. Clin. Exp. Res. 34, 840–852 (2010). source
- Not checked yetcites [95] Bierut, L. J. et al. A genome-wide association study of alcohol dependence. Proc. Natl Acad. Sci. USA 107, 5082–5087 (2010). source
- Not checked yetcites [96] Kendler, K. S. et al. Genomewide association analysis of symptoms of alcohol dependence in the molecular genetics of schizophrenia (MGS2) control sample. Alcohol. Clin. Exp. Res. 35, 963–975 (2011). source
- Not checked yetcites [97] Heath, A. C. et al. A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications. Biol. Psychiatry 70, 513–518 (2011). source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“A provocative finding from 2003 was that risk for MDD might be influenced by a gene-environment interaction with genetic variation near the serotonin transporter. 110”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
What the sources say
- Not checked yetcites [110] Rucker, J. J. et al. Genome-wide association analysis of copy number variation in recurrent depressive disorder. Mol. Psychiatry 1 Nov 2011 (doi:10.1038/mp.2011.144). source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These null results are intriguing as almost all other published GWAS with N>11,000 for any disease has found at least one genome-wide significant finding.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“The most likely reasons for these results are particularly high heterogeneity of MDD and insufficient power arising from its lower heritability. 108”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Major Depressive Disorder (MDD)
What the sources say
- Not checked yetcites [108] Fowler, C. D., Lu, Q., Johnson, P. M., Marks, M. J. & Kenny, P. J. Habenular α5 nicotinic receptor subunit signalling controls nicotine intake. Nature 471, 597–601 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There is an important component arising from common variation in hundreds of different loci (Box 3), and larger sample sizes are likely to convert many of these to genome-wide significance.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There are statistical hints that ADHD and MDD might also be polygenic.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > What is the Emerging Picture > Genetic architecture
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the knowledge base in psychiatric genetics is vastly greater than five years ago, and the rate of change is unprecedented in the history of the field.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Why these successes matter
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. 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
“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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“It is possible to provide realistic estimates of power and to predict the number of new associations for each increment in sample size 128,129,140”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [128] Orozco, G., Barrett, J. C. & Zeggini, E. Synthetic associations in the context of genome-wide association scan signals. Hum. Mol. Genet. 19, R137–R144 (2010). source
- Not checked yetcites [129] Lander, E. S. Initial impact of the sequencing of the human genome. Nature 470, 187–197 (2011). source
- Not checked yetcites [140] Miller, G. Is pharma running out of brainy ideas? Science 329, 502–504 (2010). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The 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
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
- 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably 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
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
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).
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably 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
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably 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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Indeed, a GWAS co-authorship network graph demonstrates the high connectedness of researchers in the field (Figure S2).”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The published results for ASD 83–85 and unpublished data on SCZ suggest these issues will be important and underscore the need for sequencing studies to have the same emphasis on statistical rigor and large sample sizes that has enabled GWAS to realize success for multiple psychiatric disorders. 154”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Implications for strategy
What the sources say
- Not checked yetcites [83] Marshall, C. R. et al. Structural variation of chromosomes in autism spectrum disorder. Am. J. Hum. Genet. 82, 477–488 (2008). source
- Not checked yetcites [84] Neale, B. M. et al. Patterns and rates of exonic de novo mutations in autism spectrum disorders. Nature 485, 242–245 (2012). source
- Not checked yetcites [85] O'Roak, B. J. et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature 485, 246–250 (2012). source
- Not checked yetcites [154] Durbin, R. M. et al. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the genetics knowledge base has advanced considerably during the past five years, and results to date contain clear indications that further study will yield greater insight.”
§ Genetic Architectures of Psychiatric Disorders: The Emerging Picture and Its Implications > Implications and Future Directions > Psychiatric genetics is not “post-genomic”
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
The authors state this as an assumption.
Pathway analysis is based on the assumption that risk variants for a disease will converge on sets of genes whose functions are more closely related to each other than to random sets of genes.
“Pathway analysis is based on the assumption that risk variants for a disease will converge on sets of genes whose functions are more closely related to each other than to random sets of genes.”
The authors state this as an assumption.
For rare variants in complex diseases, pathway analysis will by necessity be based on sets of genes whose involvement in disease is unclear (e.g., genes with a single observed de novo exonic deleterious mutation).
“For rare variants in complex diseases, based on recent empirical results for ASD, it is probably reasonable to assume that pathway analysis will by necessity be based on sets of genes whose involvement in disease is unclear (e.g., genes with a single observed de novo exonic deleterious mutation). 83,84”
The paper relies on this without support.
Common variation plays a clear role in other psychiatric disorders.
“given that detailed studies of rare variation currently explain a fraction of risk and that common variation plays a clear role in other psychiatric disorders.”
The paper relies on this without support.
The genomic search space is large but finite.
“The genomic search space is large but finite and so, in theory, elucidating the parts list for a psychiatric disorder could be achieved.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The etiology of ASD is also primarily genetic (Sullivan et al., 2012)”
From Parallel social information processing circuits are differentially impacted in autism (2020) · cites this paper as Sullivan et al., 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting conclusions about whether ASD risk can be entirely due to rare variants
MajorThe paper says the available evidence cannot establish or rule out a role for common genetic variation in ASD, but later says an architecture consisting entirely of rare variants is inconsistent with the ASD data. The latter conclusion rules out what the former says remains possible.
“It is currently not possible to discern or dismiss a role for common genetic variation in risk for ASD.”
“Hypothesized genetic architectures consisting entirely of rare variants are inconsistent with the data for AD, ASD, BIP, and SCZ (as well as for multiple other complex biomedical diseases).”
Citations
Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationInfluence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Network medicine: a network-based approach to human disease
Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2918 · Cited by 5,034
KEGG for integration and interpretation of large-scale molecular data sets
Kanehisa, M., Goto, S., Sato, Y., Furumichi, M., & Tanabe, M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr988 · Cited by 4,848
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Common SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
Strittmatter, W. J., Saunders, A. M., Schmechel, D., Pericak-Vance, M., Enghild, J., Salvesen, G. S., & Roses, A. D. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.1977 · Cited by 4,268
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Flagged first, then by citations
2 of the 209 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- World Health Organization. The Global Burden of Disease: 2004 Update (WHO Press, 2008).
Cited by
Sorted by citations
Items 101–200 of 1,000
Assessing the evidence for shared genetic risks across psychiatric disorders and traits
Martin, J., Taylor, M. J., & Lichtenstein, P. (2017) · Psychological Medicine · doi:10.1017/s0033291717003440 · Cited by 141
General developmental health in the VPA-rat model of autism
Favre, M., Barkat, T. R., Mendola, D. L., Khazen, G., Markram, H., & Markram, H. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00088 · Cited by 152
“ORIGINAL RESEARCH ARTICLE published: 24 July 2013 doi: 10.3389/fnbeh.2013.00088 General developmental health in the VPA-rat model of autism”
BackgroundMethodInfluentialEnvironmental factors, life events, and trauma in the course of bipolar disorder
Aldinger, F., & Schulze, T. G. (2016) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12433 · Cited by 163
“11, 12 This also highlights the need to study disease trajectories, in particular given the recent major achievements in psychiatric genetics: [13] [14] [15] [16] [17] [18] [19] [20] we now need to learn more about the non-genetic factors and their interaction with genetic underpinnings.”
BackgroundTobe, B. T. D., Crain, A., Winquist, A., Calabrese, B., Makihara, H., Zhao, W., Lalonde, J., Nakamura, H., Konopaske, G. T., Sidor, M. M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1700111114 · Cited by 138
“Although heritability of BPD is ∼80%, few disease-specific gene associations have been identified with sufficient consistency and statistical significance to guide further studies (9, 10); multiple loci are more likely to contribute to LiR than any single reliable genetic marker, making it challenging for hiPSC diseas…”
BackgroundUnderstanding Language from a Genomic Perspective
Graham, S. A., & Fisher, S. E. (2015) · Annual Review of Genetics · doi:10.1146/annurev-genet-120213-092236 · Cited by 139
Genome-wide Association Studies: Findings at the Major Histocompatibility Complex Locus in Psychosis
Corvin, A. P., & Morris, D. W. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.09.018 · Cited by 136
“2) and rare structural variants of larger effect (odds ratios between 2 and 20) have also been identified (26), the MHC finding remains the most significant and consistent across subsequent schizophrenia GWAS.”
BackgroundOne gene, many neuropsychiatric disorders: lessons from Mendelian diseases
Zhu, X., Need, A. C., Petrovski, S., & Goldstein, D. B. (2014) · Nature Neuroscience · doi:10.1038/nn.3713 · Cited by 131
Analysis of miR-137 expression and rs1625579 in dorsolateral prefrontal cortex
Guella, I., Sequeira, A., Rollins, B. L., Morgan, L., Torri, F., van Erp, T. G. M., Myers, R., Barchas, J. D., Schatzberg, A. F., Watson, S. J., et al. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.05.021 · Cited by 132
“Several robust and replicable genetic findings have been reported for both BD and SZ (Sullivan et al., 2012), and the obtained results are consistent with a combined contribution of both rare and common variants to disease susceptibility (McCarthy et al.”
ResultDuncan, L. E., Pollastri, A. R., & Smoller, J. W. (2014) · American Psychologist · doi:10.1037/a0036320 · Cited by 145
“Among psychiatric disorders, genome-wide significant, replicated risk loci for schizophrenia, bipolar disorder, autism, and substance use disorders have now been identified by whole genome approaches (Sullivan et al., 2012), and two GWAS of PTSD have been reported, with no evidence of replication across studies to dat…”
InfluentialImportance of studying heterogeneity in autism
Georgiades, S., Szatmári, P., & Boyle, M. (2013) · Neuropsychiatry · doi:10.2217/npy.13.8 · Cited by 133
Scarr, E., Millan, M. J., Bahn, S., Bertolino, A., Turck, C. W., Kapur, S., Möller, H., & Dean, B. (2015) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyv042 · Cited by 135
“This posit is in accordance with current notions of epistasis and the need for pathway analyses when examining patterns of genetic risk (Sullivan et al., 2012).”
ResultMusliner, K. L., Seifuddin, F., Judy, J., Pirooznia, M., Goes, F. S., & Zandi, P. P. (2014) · Psychological Medicine · doi:10.1017/s0033291714002839 · Cited by 130
“…major depressive disorder (MDD), have a significant polygenic risk component, in which genetic liability is conferred by the combined additive effects of large numbers of variants with small effect sizes (Sullivan et al. 2012; CrossDisorder Group of the Psychiatric Genomics Consortium et al. 2013).”
BackgroundHigh-resolution copy number variation analysis of schizophrenia in Japan
Kushima, I., Aleksić, B., Nakatochi, M., Shimamura, T., Shiino, T., Yoshimi, A., Kimura, H., Takasaki, Y., Wang, C., Xing, J., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.88 · Cited by 130
Emerging role of the host microbiome in neuropsychiatric disorders: overview and future directions
Hashimoto, K. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02287-6 · Cited by 143
Mind-controlled transgene expression by a wireless-powered optogenetic designer cell implant.
Folcher, M., Oesterle, S., Zwicky, K., Thekkottil, T., Heymoz, J., Hohmann, M., Christen, M., Daoud El-Baba, M., Buchmann, P., & Fussenegger, M. (2014) · Nature Communications · doi:10.1038/ncomms6392 · Cited by 130
Buchsbaum, I. Y., & Cappello, S. (2019) · Development · doi:10.1242/dev.163766 · Cited by 132
“Indeed, current evidence suggests that distinct clinically defined disorders might be caused by shared risk loci (Table 2, Figs 2 and 4A) (Sullivan et al., 2012; Zhu et al., 2014), with the resulting phenotype influenced by the degree of protein dysfunction or by the levels of remaining functional protein.”
BackgroundExpanding the phenotype of Triple X syndrome: A comparison of prenatal versus postnatal diagnosis
Wigby, K. M., D’Epagnier, C., Howell, S., Reicks, A., Wilson, R., Cordeiro, L., & Tartaglia, N. R. (2016) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.37688 · Cited by 131
“A multitude of chromosomal regions and genes have been implicated in learning disabilities [Haworth and Plomin, 2010] and psychiatric disorders [Sullivan et al., 2012].”
BackgroundThe continuum of causality in human genetic disorders
Katsanis, N. (2016) · Genome biology · doi:10.1186/s13059-016-1107-9 · Cited by 126
“tion of rare alleles [31] is an empirical oversimplification [32].”
BackgroundRecent advances in quantitative neuroproteomics
Craft, G. E., Chen, A., & Nairn, A. C. (2013) · Methods · doi:10.1016/j.ymeth.2013.04.008 · Cited by 127
Nascimento, J. M., & Martins‐de‐Souza, D. (2015) · Schizophrenia · doi:10.1038/npjschz.2014.3 · Cited by 125
iPSYCH-SSI-Broad Autism Group, St Pourcain, B., Robinson, E. B., Anttila, V, Sullivan, B. B., Maller, J., Golding, J., Skuse, D., Ring, S., Evans, D. M., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2016.198 · Cited by 125
“Common genetic influences account for 25% to 33%19 of total liability to schizophrenia and up to 49% of total liability to ASD10,12.”
Self-citationRepeated Ketamine Exposure Induces an Enduring Resilient Phenotype in Adolescent and Adult Rats
Parise, E. M., Parise, L. F., Warren, B. L., Wright, K. N., Hadad, R., Sial, O. K., Kroeck, K. G., Iñiguez, S. D., & Bolaños‐Guzmán, C. A. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.027 · Cited by 129
“Suzuki T, Aoki T, Kato H, Yamazaki M, Misawa M (1999): Effects of the 5-HT(3) receptor antagonist ondansetron on the ketamine- and”
Hiroi, N., Takahashi, T., Hishimoto, A., Izumi, T., Boku, S., & Hiramoto, T. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.92 · Cited by 126
Peyrot, W. J., der Auwera, S. V., Milaneschi, Y., Dolan, C. V., Madden, P. A. F., Sullivan, P. F., Strohmaier, J., Ripke, S., Rietschel, M., Nivard, M. G., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.09.009 · Cited by 132
“org/jo with a lifetime risk of 20% in women and 10% in men (5,47).”
Self-citationKendler, K. S. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.50 · Cited by 178
van den Berg, S. M., de Moor, M. H. M., McGue, M. K., Pettersson, E., Terracciano, A., Verweij, K. J. H., Amin, N., Derringer, J. L., Esko, T., van Grootheest, G., et al. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9654-x · Cited by 123
“…haveled toimportant discoveries,but for many disorders, individual variants typically explain less than 1 % of the heritability, although in unison they can explain quite a large proportion of phenotypic variation (Craddock et al. 2008; Lee et al. 2013; Ripke et al. 2013; Sullivan et al. 2012).”
BackgroundPotential Impact of miR-137 and Its Targets in Schizophrenia
Wright, C., Turner, J. A., Calhoun, V. D., & Perrone‐Bizzozero, N. I. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00058 · Cited by 127
Fears, S. C., Service, S. K., Kremeyer, B., Araya, C., Araya, X., Bejarano, J., Ramirez, M., Castrillón, G., Franco, J. G., Lopez, M. C., et al. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.4100 · Cited by 122
“7) [0-23]”
Chen, G., Lee, S., Brion, M., Montgomery, G. W., Wray, N. R., Radford‐Smith, G. L., & Visscher, P. M. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu174 · Cited by 121
“The higher heritability estimate observed from twin data is in line with what is reported for other diseases, such as schizophrenia, bipolar disorder, and autism, and also with other complex traits (1,32).”
SZDB: A Database for Schizophrenia Genetic Research
Wu, Y., Yao, Y., & Luo, X. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw102 · Cited by 117
Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders
Morozova, A. Y., Zorkina, Y., Abramova, O. V., Pavlova, O., Ka, P., Soloveva, K., Volkova, M., Alekseeva, P. A., Andryshchenko, A., Kostyuk, G. P., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031217 · Cited by 132
“Abbreviations Aβ amyloid-beta AD Alzheimer’s disease APOE apolipoprotein E gene ApoE apolipoprotein E APP amyloid precursor protein BBB blood–brain barrier BDNF brain-derived neurotrophic factor CDR clinical dementia rating scale CNS central nervous system CRP C-reactive protein CSF cerebrospinal fluid DHA docosahexae…”
BackgroundInfluentialModels of Intergenerational and Transgenerational Transmission of Risk for Psychopathology in Mice
Klengel, T., Dias, B. G., & Ressler, K. J. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.249 · Cited by 125
Genomic DISC1 Disruption in hiPSCs Alters Wnt Signaling and Neural Cell Fate
Srikanth, P., Han, K., Callahan, D. G., Makovkina, E., Muratore, C., Lalli, M. A., Zhou, H., Boyd, J. D., Kosik, K. S., Selkoe, D. J., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.07.061 · Cited by 119
Integrating Genetics and Social Science: Genetic Risk Scores
Belsky, D. W., & Israel, S. (2014) · Biodemography and Social Biology · doi:10.1080/19485565.2014.946591 · Cited by 118
“Extreme group comparisons (e.g., severe cases versus supercontrols with no pathology [Schwartz and Susser 2010]) are one approach to increasing statistical power in GWAS, but the dominant strategy is to increase sample size (Sullivan, Daly, and O’Donovan 2012).”
BackgroundProximity labeling: spatially resolved proteomic mapping for neurobiology
Han, S., Li, J., & Ting, A. Y. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.10.015 · Cited by 112
“with human diseases [60], systematically profiling their interacting partners under disease conditions would not only shed light on the pathological mechanisms but also potentially identify novel disease-associated genes.”
Hou, Q.-L., Wang, Y., Li, Y., Chen, D., Yang, F., & Wang, S. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00182 · Cited by 115
“A number of studies have shown that ASD is caused by a complex interaction of genetic and environmental factors (Sullivan et al., 2012; Favre et al., 2013; Yuen et al., 2015).”
BackgroundDrosophila melanogaster as a genetic model system to study neurotransmitter transporters
Martin, C. A., & Krantz, D. E. (2014) · Neurochemistry International · doi:10.1016/j.neuint.2014.03.015 · Cited by 112
“Most psychiatric illnesses are likely to follow a complex pattern of inheritance with large numbers of genes contributing to the phenotype, and additional environmental factors also playing a role (Sullivan et al., 2012).”
DISC1 genetics, biology and psychiatric illness
Thomson, P. A., Malavasi, E. L. V., Grünewald, E., Soares, D. C., Borkowska, M., & Millar, J. K. (2012) · Frontiers in Biology · doi:10.1007/s11515-012-1254-7 · Cited by 112
Exome Sequencing of Familial Bipolar Disorder
Goes, F. S., Pirooznia, M., Parla, J. S., Kramer, M., Ghiban, E., Mavruk, S., Chen, Y.-C., Monson, E. T., Willour, V. L., Karchin, R., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0251 · Cited by 108
McIntosh, A. M., Hall, L. S., Zeng, Y., Adams, M. J., Gibson, J., Wigmore, E. M., Hagenaars, S. P., Davies, G., Fernandez-Pujals, A. M., Campbell, A., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002090 · Cited by 112
“The causes of chronic pain and depression are poorly understood, although there is evidence of a contribution from genetic factors in each disorder [3,4].”
BackgroundMusliner, K. L., Mortensen, P. B., McGrath, J. J., Suppli, N. P., Hougaard, D. M., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Andreassen, O., Pedersen, C. B., Pedersen, M. G., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.4166 · Cited by 108
The evolutionary paradox and the missing heritability of schizophrenia
van Dongen, J., & Boomsma, D. I. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32135 · Cited by 110
“Of interest to this theory, the strongest genetic association for schizophrenia that has thus far emerged from GWAS is in the major histocompatability complex (MHC) region [Sullivan et al., 2012].”
BackgroundInfluentialHow Wnt Signaling Builds the Brain: Bridging Development and Disease
Noelanders, R., & Vleminckx, K. (2016) · The Neuroscientist · doi:10.1177/1073858416667270 · Cited by 105
Comprehensive integrative analyses identify GLT8D1 and CSNK2B as schizophrenia risk genes
Yang, C., Li, X., Wu, Y., Shen, Q., Zeng, Y., Xiong, Q., Wei, M., Chen, C., Liu, J., Huo, Y., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03247-3 · Cited by 106
Hidden proteome of synaptic vesicles in the mammalian brain
Taoufiq, Z., Ninov, M., Villar‐Briones, A., Wang, H.-Y., Sasaki, T., Roy, M. C., Beauchain, F., Mori, Y., Yoshida, T., Takamori, S., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011870117 · Cited by 109
From Maternal Diet to Neurodevelopmental Disorders: A Story of Neuroinflammation
Bordeleau, M., de Cossío, L. F., Chakravarty, M. M., & Tremblay, M. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.612705 · Cited by 110
“Maternal Diet and Its Link to Neurodevelopmental Disorders Genome-wide association studies and linkage studies have shown that the genetic architecture of many neurodevelopmental disorders comprises hundreds of genes affected, but each contributing only small effects to the overall phenotype or alternatively a single…”
BackgroundRees, E., Creeth, H., Hwu, H., Chen, W. J., Tsuang, M. T., Glatt, S. J., Rey, R., Kirov, G., Walters, J., Holmans, P., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25532-4 · Cited by 106
Self-citationOveractive bladder in children
Franco, I. (2016) · Nature Reviews Urology · doi:10.1038/nrurol.2016.152 · Cited by 102
Byrne, E. M., Carrillo‐Roa, T., Henders, A. K., Bowdler, L. M., McRae, A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., Krause, L., & Wray, N. R. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.45 · Cited by 100
“complex psychiatric disorders contribute to a small fraction of the genetic variation and explain only a small proportion of the heritability.(7) Growing evidence suggests that variations in epigenetic profiles (that is, DNA methylation) influence complex trait variation.”
BackgroundBulik, C. M., Blake, L. E., & Austin, J. (2019) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2018.10.007 · Cited by 129
Al-Mubarak, B. R., Abouelhoda, M. I., Omar, A., Aldhalaan, H., Aldosari, M., Nester, M. J., Al-Shamrani, H., El-Kalioby, M., Goljan, E., Albar, R., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-06033-1 · Cited by 99
Mahmood, K., Jung, C., Philip, G. K., Georgeson, P., Chung, J., Pope, B. J., & Park, D. J. (2017) · Human Genomics · doi:10.1186/s40246-017-0104-8 · Cited by 96
“To this end, it is desirable to know whether a given variant is likely to impact protein function, with the inference being that this might influence phenotypes of interest [2 – 5].”
BackgroundP2X7 Receptor: A Potential Therapeutic Target for Depression?
Deussing, J. M., & Arzt, E. (2018) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2018.07.005 · Cited by 97
The genetics of alcohol dependence
Rietschel, M., & Treutlein, J. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06794.x · Cited by 98
The genomics of schizophrenia: update and implications
Giusti‐Rodríguez, P., & Sullivan, P. F. (2013) · Journal of Clinical Investigation · doi:10.1172/jci66031 · Cited by 99
“As with other complex disorders (16, 64), common variation seems to be at the heart of the genetic risk of schizophrenia, and at least some of these associations replicate in samples from people of East Asian and European descent (30, 65).”
Self-citationMolecular substrates of schizophrenia: homeostatic signaling to connectivity
Landek‐Salgado, M. A., Faust, T. E., & Sawa, A. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.141 · Cited by 95
The Role of the Eukaryotic Translation Initiation Factor 4E (eIF4E) in Neuropsychiatric Disorders
Amorim, I. S., Lach, G., & Gkogkas, C. G. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00561 · Cited by 96
“Interestingly, these CNVs are often associated risk factors for other neurodevelopmental disorders, such as ASD, mental retardation and epilepsy (Sullivan et al., 2012).”
BackgroundPsyGeNET: a knowledge platform on psychiatric disorders and their genes
Gutiérrez‐Sacristán, A., Grosdidier, S., Valverde, O., Torrens, M., Bravo, Á., Piñero, J., Sanz, F., & Furlong, L. I. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv301 · Cited by 92
Stergiakouli, E., Martin, J., Hamshere, M. L., Langley, K., Evans, D. M., St Pourcain, B., Timpson, N. J., Owen, M. J., O'Donovan, M., Thapar, A., et al. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.01.010 · Cited by 94
“raditional behavioral genetic studies have shown that psychiatric disorders, whether defined categorically as T diagnoses or viewed as trait measures, are moderately to highly heritable.(1) Findings from these family, twin, and adoption studies also suggest that many childhood psychiatric disorders, such as attention-…”
Self-citationQuestions about DISC1 as a genetic risk factor for schizophrenia
Sullivan, P. F. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.182 · Cited by 93
Self-citationIdentification and functional characterization of rare SHANK2 variants in schizophrenia
Peykov, S. Z., Berkel, S., Schoen, M., Weiss, K., Degenhardt, F., Strohmaier, J., Weiss, B., Proepper, C., Schratt, G. M., Nöthen, M. M., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.172 · Cited by 100
Genetics of obsessive-compulsive disorder and related disorders
Browne, H. A., Gair, S. L., Scharf, J. M., & Grice, D. E. (2014) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2014.06.002 · Cited by 92
Association of bisphenol A, bisphenol F, and bisphenol S with ADHD symptoms in children
Kim, J. I., Lee, Y. A., Shin, C. H., Hong, Y., Kim, B.-N., & Lim, Y. (2022) · Environment International · doi:10.1016/j.envint.2022.107093 · Cited by 94
Genetics of ADHD: What Should the Clinician Know?
Grimm, O., Kranz, T. M., & Reif, A. (2020) · Current Psychiatry Reports · doi:10.1007/s11920-020-1141-x · Cited by 97
Johansson, V., Lundholm, C., Hillert, J. A., Masterman, T., Lichtenstein, P., Landén, M., & Hultman, C. M. (2014) · Multiple Sclerosis Journal · doi:10.1177/1352458514540970 · Cited by 91
DNA methylation in schizophrenia: progress and challenges of epigenetic studies
Nishioka, M., Bundo, M., Kasai, K., & Iwamoto, K. (2012) · Genome Medicine · doi:10.1186/gm397 · Cited by 94
A Population-Based Study of Genetic Variation and Psychotic Experiences in Adolescents
Zammit, S., Hamshere, M. L., Dwyer, S., Georgiva, L., Timpson, N. J., Moskvina, V., Richards, A. L., Evans, D. M., Lewis, G., Jones, P. B., et al. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt146 · Cited by 94
“8 10 For example, a composite measure of risk conferred by common alleles (known as a polygenic score) derived from a discovery schizophrenia sample has been shown to successfully discriminate individuals with schizophrenia, and with bipolar disorder, in other samples.”
BackgroundSelf-citationRevitalizing Psychiatric Therapeutics
Hyman, S. E. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.181 · Cited by 92
Psychiatric drug development: diagnosing a crisis.
Hyman, S. E. (2013) · Europe PMC (PubMed Central) · Cited by 89
Genetic variants in major depressive disorder: From pathophysiology to therapy
Gonda, X., Petschner, P., Eszlári, N., Baksa, D., Édes, A. E., Antal, P., Juhász, G., & Bagdy, G. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.09.002 · Cited by 91
Specificity and Continuity of Schizophrenia and Bipolar Disorder: Relation to Biomarkers
Yamada, Y., Madoka, M., Iijima, K., & Sumiyoshi, T. (2019) · Current Pharmaceutical Design · doi:10.2174/1381612825666191216153508 · Cited by 89
“In a review [20] that summarized major GWAS findings for schizophrenia, bipolar disorder, and both disorders combined, the associations indicate a small effect on risk (ORs around 1.”
BackgroundClinical classification in mental health at the cross-roads: which direction next?
Hickie, I. B., Scott, J. L., Hermens, D. F., Scott, E. M., Naismith, S. L., Guastella, A. J., Glozier, N., & McGorry, P. D. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-125 · Cited by 88
“The current systems also assume the concept of multiple parallel pathways each leading to distinct diagnostic categories - an assumption that is not readily supported by modern family, genetic and neurobiological risk factor studies [20,35,36].”
BackgroundThe inheritance of Tourette Disorder: A review
Pauls, D. L., Fernandez, T. V., Mathews, C. A., State, M. W., & Scharf, J. M. (2014) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2014.06.003 · Cited by 92
Progress in the Genetics of Polygenic Brain Disorders: Significant New Challenges for Neurobiology
McCarroll, S. A., & Hyman, S. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.046 · Cited by 90
“…association studies (GWASs), there is substantial sharing of genetic risk-conferring alleles across psychiatric disorders including autism, schizophrenia, bipolar disorder, major depressive disorder, and attention-deficit hyperactivity disorder (Sullivan et al., 2012; Smoller et al., 2013).”
Identification of shared risk loci and pathways for bipolar disorder and schizophrenia
Forstner, A. J., Hecker, J., Hofmann, A., Maaser, A., Reinbold, C. S., Mühleisen, T. W., Leber, M., Strohmaier, J., Degenhardt, F., Treutlein, J., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171595 · Cited by 90
Hsu, H.-W., Bondy, S. C., & Kitazawa, M. (2018) · Toxicological Sciences · doi:10.1093/toxsci/kfy025 · Cited by 88
“However, only 20% of these cases are fully explained by currently known susceptible genes or mutations (Sullivan et al., 2012).”
BackgroundSchizophrenia genetics: emerging themes for a complex disorder
Kavanagh, D. H., Tansey, K. E., O’Donovan, M. C., & Owen, M. J. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.148 · Cited by 93
Self-citationGenome-scale neurogenetics: methodology and meaning
McCarroll, S. A., Feng, G., & Hyman, S. E. (2014) · Nature Neuroscience · doi:10.1038/nn.3716 · Cited by 89
The integrated landscape of causal genes and pathways in schizophrenia
Ma, C., Gu, C., Huo, Y., Li, X., & Luo, X. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0114-x · Cited by 87
Chromatin Remodeling Complex NuRD in Neurodevelopment and Neurodevelopmental Disorders
Hoffmann, A., & Spengler, D. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00682 · Cited by 92
“NuRD in SCZ SCZ is a highly heritable devastating mental disorder (Sullivan et al., 2012) with a lifetime prevalence of ≈1% worldwide (World Health Organization, 2016).”
BackgroundThe Minnesota Center for Twin and Family Research Genome-Wide Association Study
Miller, M. B., Basu, S., Cunningham, J. M., Eskin, E., Malone, S., Oetting, W. S., Schork, N. J., Sul, J. H., Iacono, W. G., & McGue, M. K. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.62 · Cited by 84
Modeling psychiatric disorders: from genomic findings to cellular phenotypes
Falk, A., Heine, V. M., Harwood, A. J., Sullivan, P. F., Peitz, M., Brüstle, O., Shen, S., Sun, Y.-M., Glover, J. C., Posthuma, D., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.89 · Cited by 88
Self-citationSchulz, H., Ruppert, A., Herms, S., Wolf, C., Mirza‐Schreiber, N., Stegle, O., Czamara, D., Forstner, A. J., Sivalingam, S., Schoch, S., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01818-4 · Cited by 81
Translating insights from neuropsychiatric genetics and genomics for precision psychiatry
Rees, E., & Owen, M. J. (2020) · Genome Medicine · doi:10.1186/s13073-020-00734-5 · Cited by 86
Modeling psychiatric disorders with patient-derived iPSCs
Wen, Z., Christian, K. M., Song, H., & Ming, G.-L. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.11.003 · Cited by 84
“Introduction Severe psychiatric disorders, or mental illnesses, such as schizophrenia (SZ), autistic spectrum disorder (ASD), bipolar disorder (BP), and anxiety disorders, are chronic and complex neurological diseases affecting a large portion of the world’s population [1,2].”
BackgroundNeuronal migration abnormalities and its possible implications for schizophrenia
Muraki, K., & Tanigaki, K. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00074 · Cited by 92
“Twin studies indicated that the heritability for schizophrenia is estimated to be 0.81 (Sullivan et al., 2012).”
BackgroundInfluentialProteomics Research in Schizophrenia
Davalieva, K., Kostovska, I. M., & Dwork, A. J. (2016) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2016.00018 · Cited by 84
“…FOR PROTEOMICS STUDIES AND BIOMARKERS FOR SCHIZOPHRENIA Genomic studies of schizophrenia, using genome wide association studies (GWAS), copy number variations (CNVs), microarrays, and next-generation sequencing (RNAseq) have linked schizophrenia with rare genetic variations (Sullivan et al., 2012).”
BackgroundNew Ethical Issues for Genetic Counseling in Common Mental Disorders
Gershon, E. S., & Alliey‐Rodriguez, N. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12121558 · Cited by 86
Evolving Notions of Schizophrenia as a Developmental Neurocognitive Disorder
Seidman, L. J., & Mirsky, A. F. (2017) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717001114 · Cited by 87
Human pluripotent stem cell–derived models and drug screening in CNS precision medicine
Silva, M. C., & Haggarty, S. J. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14012 · Cited by 88
Schizophrenia and Depression Co-Morbidity: What We have Learned from Animal Models
Samsom, J., & Wong, A. H. C. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00013 · Cited by 88
“Schizophrenia and depression are highly polygenetic, likely resulting from the contribution of multiple low-effect genetic risk factors combined with environmental stressors (407, 409).”
BackgroundAnalysis of conditional heterozygous STXBP1 mutations in human neurons
Patzke, C., Han, Y., Covy, J. P., Yi, F., Maxeiner, S., Wernig, M., & Südhof, T. C. (2015) · Journal of Clinical Investigation · doi:10.1172/jci78612 · Cited by 83
Ishizuka, K., Fujita, Y., Kawabata, T., Kimura, H., Iwayama, Y., Inada, T., Okahisa, Y., Egawa, J., Usami, M., Kushima, I., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.173 · Cited by 87
McGrath, J. J., Mortensen, P. B., Visscher, P. M., & Wray, N. R. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt108 · Cited by 82
Neuropsychological Deficits in Mice Depleted of the Schizophrenia Susceptibility Gene CSMD1
Steen, V. M., Nepal, C., Ersland, K. M., Holdhus, R., Nævdal, M., Ratvik, S. M., Skrede, S., & Håvik, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079501 · Cited by 82
“Still, alterations in immunity-related processes in schizophrenia have been documented in both epidemiological and genetic studies conducted over the past decades [2,3].”
BackgroundMapping 22q11.2 Gene Dosage Effects on Brain Morphometry
Lin, A., Ching, C. R. K., Vajdi, A., Sun, D., Jonas, R. K., Jalbrzikowski, M., Kushan-Wells, L., Pacheco Hansen, L., Krikorian, E., Gutman, B., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3759-16.2017 · Cited by 69
Animal models of gene–environment interaction in schizophrenia: A dimensional perspective
Ayhan, Y., McFarland, R., & Pletnikov, M. V. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.10.002 · Cited by 82
Jansen, P. R., Polderman, T. J. C., Bolhuis, K., van der Ende, J., Jaddoe, V. W. V., Verhulst, F. C., White, T. J. H., Posthuma, D., & Tiemeier, H. W. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12759 · Cited by 86
Interpreting the role of de novo protein-coding mutations in neuropsychiatric disease
Gratten, J., Visscher, P. M., Mowry, B. J., & Wray, N. R. (2013) · Nature Genetics · doi:10.1038/ng.2555 · Cited by 77
Hayashi‐Takagi, A., Vawter, M. P., & Iwamoto, K. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.09.035 · Cited by 82
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review