The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index; none of the 8 sources its claims cite is checked for support yet.
SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)
Open accessAbstract
New technologies enabling genome-wide interrogation have led to a large and rapidly growing number of autism spectrum disorder (ASD) candidate genes. Although encouraging, the volume and complexity of these data make it challenging for scientists, particularly non-geneticists, to comprehensively evaluate available evidence for individual genes. Described here is the Gene Scoring module within SFARI Gene 2.0 ( https://gene.sfari.org/autdb/GS_Home.do ), a platform developed to enable systematic community driven assessment of genetic evidence for individual genes with regard to ASD.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
SFARI Gene 2.0 introduces a community-driven Gene Scoring module that systematically scores human genetic evidence for ASD candidate genes. In an initial 196-gene set, 58% fell into “Minimal Evidence,” and publication attention was only weakly related to evidence category.
Key findings
- Of 196 scored genes, 114 (58.2%) were assigned “Minimal Evidence” (category 4); no genes were placed in “High confidence” (category 1), while 5 (2.6%) were “Strong candidate” and 17 (8.7%) “Suggestive.”
- Publication attention was skewed: among syndromic genes discovered more than four years earlier (n = 17), two genes accounted for almost 50% of ASD-associated publications, while the eight least attended genes in that group collectively accounted for 8.4%.
- Almost half of genes with no or modest support (categories 4/5/6) had more ASD-associated publications than genes with more evidence (categories S/2/3); Table 1 shows syndromic genes had 714 observed versus 160 expected papers (4.4x), while minimal evidence genes had 360 observed versus 834 expected (0.4x).
- The resource includes explicitly defined scoring criteria, downloadable data, community score additions/proposals, and staff/advisory board oversight with versioning.
Methods
- Criteria were developed from a human genetics perspective to quantify evidence for ASD involvement, guided by three principles: use genetic variation in human cohorts, start with no assumptions about individual genes, and make active community involvement central.
- An initial set of 196 genes was scored and annotated in a gene-centric web interface; users with a SFARI login can add scores alongside curated calls, propose new genes, and suggest modifications to scoring criteria, with oversight by staff curators and the SFARI Gene Advisory Board.
- Attention analysis used manually curated publication counts containing “(autism OR autistic)” in the title or abstract; Figure 1 used the PubMed query “(autism OR autistic) AND (‘Gene symbol’)” in the title or abstract, and Table 1 compared observed papers to expected papers based on total observed papers across all categories (n = 1,434).
Limitations
- Stated: the scoring system is “not entirely immune to bias”; scores are not static and will change in the face of new data.
- Evident: the analysis covers only an initial set of 196 genes, and publication counts are used as a proxy for scientific attention; the paper does not report external validation of the scoring categories.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
7 Own interpretation · 6 Own result · 3 Own method · 2 No basis given · 1 Not checked yet
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
“Within syndromic genes discovered more than four years ago (n = 17), for example, two genes accounted for almost 50% of the ASD-associated publications.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaincorrelationaln = 17- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“A total of 58% of the scored genes, many having been highlighted elsewhere as top candidates, were assigned to the “Minimal Evidence” category.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a 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
“Application of these criteria resulted in the identification of genes which despite substantial support had received little or no attention from the field.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The scoring categories accurately reflect the strength of genetic evidence for ASD involvement.
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
“At the other extreme, the eight least attended to from this group collectively accounted for only 8.4% of the publications.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plainn = 17- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“Finally, almost half of the genes with no or relatively modest support (categories 4/5/6) have a greater number of ASD-associated publications than those with more evidence for involvement in disease (categories S/2/3).”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“To minimize bias, we did not begin with any discussion or review of the literature, but rather the establishment of formalized criteria to quantify available support.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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 “winner takes most” effect, where two genes attracted almost 50% of the community’s attention, is in direct conflict with a comprehensive understanding of autism genetics.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plainn = 17- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The number of manually curated publications containing “(autism OR autistic)” in the title or abstract is a valid measure of attention from the scientific community.
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 scores are not static and will change in the face of new data, these data suggest that there exists only modest support for the majority of autism-candidate genes proposed to date.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The initial set of 196 scored genes is representative of autism-candidate genes proposed to date.
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
“These data highlight a relatively poor relationship between genetic evidence and attention from the scientific community.”
- Also stated in: § Letter to the Editor · plain
“Consistent with a disconnect between attention from the research community and evidence in support of individual genes, the number of publications for individual genes is highly variable and only weakly related to gene category.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The number of manually curated publications containing “(autism OR autistic)” in the title or abstract is a valid measure of attention from the scientific community.
- Rests on an assumption: The scoring categories accurately reflect the strength of genetic evidence for ASD involvement.
- Also stated in: § Letter to the Editor · plain
- It may state two separate claims as one. 8
- Probably not a substantial claim. 4
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
“Consistent with a disconnect between attention from the research community and evidence in support of individual genes, the number of publications for individual genes is highly variable and only weakly related to gene category.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: The number of manually curated publications containing “(autism OR autistic)” in the title or abstract is a valid measure of attention from the scientific community.
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
“Enormous variability was observed both within and between categories, along with marked skewing towards specific genes within a given category (Figure 1).”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Although the scoring system we have developed is itself not entirely immune to bias, evidence is examined and applied in a systemic fashion and is sensitive to community feedback.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For genes already included in the portal, users with a SFARI login are able to add their own scores alongside curated calls (https://gene.sfari.org/autdb/search); these are viewable by the entire community in the form of “counts”.”
- Also stated in: § Letter to the Editor · plain
“Registered individuals are also able to propose scores for genes not yet included in the database (https://gene.sfari.org/autdb/user/AddAGene.do), and also suggest modifications to the scoring criteria.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Also stated in: § Letter to the Editor · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Extensive safeguards - including staff and advisory board oversight - are in place to ensure the quality and utility of the resource.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably 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
“Further, this process requires the integration of diverse lines of support that are unequal.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
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
“Also new and unique to SFARI Gene 2.0 is a mechanism that enables researchers to provide reasoned arguments for the introduction of new genes, offer alternate scores that sit alongside existing ones, and provide suggestions for the modification of the scoring criteria.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a 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
“Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8]. Such efforts are incomplete, non-systematic and static.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
What the sources say
- Not checked yetcites [1] Basu SN, Kollu R, Banerjee-Basu S: AutDB: a gene reference resource for autism research. Nucleic Acids Res. 2009, 37: 832-836. 10.1093/nar/gkn941. source
- Not checked yetcites [2] Matuszek G, Talebizadeh Z: Autism Genetic Database (AGD): a comprehensive database including autism susceptibility gene-CNVs integrated with known noncoding RNAs and fragile sites. BMC Med Genet. 2009, 10: 102-10.1186/1471-2350-10-102. Epub 2009/09/26 source
- Not checked yetcites [3] Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Almeida J, Bacchelli E, Bader GD, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bölte S, Bolton PF, Bourgeron T, Brennan S, Brian J, Bryson SE, Carson AR, Casallo G, Casey J, Chung BH, Cochrane L, Corsello C: Functional impact of global rare copy number variation in autism spectrum disorders. Nature. 2010, 466: 368-372. 10.1038/nature09146. source
- Not checked yetcites [4] Betancur C: Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting. Brain Res. 2011, 1380: 42-77. source
- Not checked yetcites [5] Weiss LA, Arking DE, Daly MJ, Chakravarti A, Gene Discovery Project of Johns Hopkins & the Autism Consortium: A genome-wide linkage and association scan reveals novel loci for autism. Chakravarti A. Nature. 2009, 461 (7265): 802-808. source
- Not checked yetcites [6] Abrahams BS, Geschwind DH: Advances in autism genetics: on the threshold of a new neurobiology. Nat Rev Genet. 2008, 9 (5): 341-355. 10.1038/nrg2346. source
- Not checked yetcites [7] Abrahams BS, Geschwind DH: Genetics of autism. Vogel and Motulsky's Human Genetics: Problems & Approaches. Edited by: Speicher MR, Antonarakis SE, Motulsky AG. 2009, Berlin: Springer-Verlag, 699-714. 4
- Not checked yetcites [8] Xu LM, Li JR, Huang Y, Zhao M, Tang X, Wei L: AutismKB: an evidence-based knowledgebase of autism genetics. Nucleic Acids Res. 2012, 40: D1016-D1022. 10.1093/nar/gkr1145. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
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
“In summary, key strengths of SFARI Gene 2.0 include explicitly defined scoring criteria, continuous updates and infrastructure to permit community based involvement.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although similar in concept to other efforts, SFARI Gene 2.0 differs in terms of philosophy, methodology and output.”
§ SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) > Letter to the Editor
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
Downstream work involves considerable resources.
“Given that downstream work involves considerable resources, a portal and framework enabling systematic assessments of all available evidence holds great value.”
The paper relies on this without support.
The initial set of 196 scored genes is representative of autism-candidate genes proposed to date.
“Using these newly developed criteria, we scored an initial set of 196 genes.”
“these data suggest that there exists only modest support for the majority of autism-candidate genes proposed to date.”
The paper relies on this without support.
The number of manually curated publications containing “(autism OR autistic)” in the title or abstract is a valid measure of attention from the scientific community.
“We then looked at the relationship between category placement and attention from the field, as defined by the number of manually curated publications containing “(autism OR autistic)” in the title or abstract.”
The paper relies on this without support.
The scoring categories accurately reflect the strength of genetic evidence for ASD involvement.
“Using a human genetics perspective, we developed a set of criteria to quantify evidence for involvement in the ASDs.”
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
“(ii) 235 genes (ASD SFARI 2014) from the SFARI AutDB database22 (accessed on July 2014).”
From Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism (2014) · cites this paper as [22]
Citations
Cites
Functional impact of global rare copy number variation in autism spectrum disorders
Pinto, D., Pagnamenta, A. T., Klei, L., Anney, R., Merico, D., Regan, R., Conroy, J., Magalhaes, T. R., Correia, C., Abrahams, B. S., et al. (2010) · Nature · doi:10.1038/nature09146 · Cited by 2,013 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Self-citationAdvances in autism genetics: on the threshold of a new neurobiology
Abrahams, B. S., & Geschwind, D. H. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2346 · Cited by 1,866 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Self-citationBetancur, C. (2011) · Brain Research · doi:10.1016/j.brainres.2010.11.078 · Cited by 954 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
A genome-wide linkage and association scan reveals novel loci for autism
The Gene Discovery Project of Johns Hopkins & the Autism Consortium, Weiss, L. A., & Arking, D. E. (2009) · Nature · doi:10.1038/nature08490 · Cited by 619 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Self-citationAutDB: a gene reference resource for autism research
Basu, S. N., Kollu, R., & Banerjee-Basu, S. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn835 · Cited by 394 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Self-citationAutismKB: an evidence-based knowledgebase of autism genetics
Xu, L.-M., Li, J.-R., Huang, Y., Zhao, M., Tang, X., & Wei, L. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1145 · Cited by 179 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Matuszek, G., & Talebizadeh, Z. (2009) · BMC Medical Genetics · doi:10.1186/1471-2350-10-102 · Cited by 48 · cited 1×
“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Vogel and Motulsky's Human Genetics: Problems and Approaches
Vogel, F., Motulsky, A. G., Speicher, M. R., Motulsky, A. G., & Antonarakis, S. E. (1982) · Medical Entomology and Zoology · Cited by 33
Abrahams, B. S., & Geschwind, D. H. (2009) · Springer eBooks · doi:10.1007/978-3-540-37654-5_29 · Cited by 15
Self-citation
Cited by
Sorted by citations
Items 201–300 of 943
Evolutionary divergence of neuroanatomical organization and related genes in chimpanzees and bonobos
Staes, N., Smaers, J. B., Kunkle, A. E., Hopkins, W. D., Bradley, B. J., & Sherwood, C. C. (2018) · Cortex · doi:10.1016/j.cortex.2018.09.016 · Cited by 31
Vilela, J. E. R., Asif, M., Marques, A. R., Santos, J. X., Rasga, C., Vicente, A. M., & Martiniano, H. (2022) · Expert Systems · doi:10.1111/exsy.13181 · Cited by 36
A single-cell genomic atlas for maturation of the human cerebellum during early childhood
Ament, S. A., Cortes-Gutierrez, M., Herb, B. R., Mocci, E., Colantuoni, C., & McCarthy, M. M. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.ade1283 · Cited by 35
Kirrel3-Mediated Synapse Formation Is Attenuated by Disease-Associated Missense Variants
Taylor, M. R., Martin, E. A., Sinnen, B. L., Trilokekar, R., Ranza, E., Antonarakis, S. E., & Williams, M. E. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.3058-19.2020 · Cited by 27
Evolutionary conservation in genes underlying human psychiatric disorders
Ogawa, L. M., & Vallender, E. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00283 · Cited by 33
Distinguishing between PTEN clinical phenotypes through mutation analysis
Portelli, S., Barr, L., de Sá, A. G. C., Pires, D. E. V., & Ascher, D. B. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.05.028 · Cited by 28
Genesis, modelling and methodological remedies to autism heterogeneity
Rabot, J., Rødgaard, E.-M., Joober, R., Dumas, G., Bzdok, D., Bernhardt, B., Jacquemont, S., & Mottron, L. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105201 · Cited by 31
Top2a promotes the development of social behavior via PRC2 and H3K27me3
Geng, Y., Zhang, T., Alonzo, I. G., Godar, S. C., Yates, C., Pluimer, B. R., Harrison, D. L., Nath, A. K., Yeh, J.-R. J., Drummond, I. A. S., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm7069 · Cited by 31
Evolution of regulatory signatures in primate cortical neurons at cell-type resolution
Kozlenkov, A., Vermunt, M. W., Apontes, P., Li, J., Hao, K., Sherwood, C. C., Hof, P. R., Ely, J. J., Wegner, M., Mukamel, E. A., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011884117 · Cited by 30
Wynne, M. E., Lane, A. R., Singleton, K. S., Zlatic, S. A., Gokhale, A., Werner, E., Duong, D. M., Kwong, J. Q., Crocker, A. J., & Faúndez, V. (2021) · eNeuro · doi:10.1523/eneuro.0232-21.2021 · Cited by 25
Fan, Y., Xiong, H., & Sun, G. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05378-x · Cited by 37
David, M. M., Enard, D., Ozturk, A., Daniels, J., Jung, J.-Y., Díaz-Beltrán, L., & Wall, D. P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157937 · Cited by 27
Wang, R., Hausknecht, K. A., Shen, R., & Haj‐Dahmane, S. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01185 · Cited by 33
De Sales-Millán, A., Aguirre-Garrido, J. F., González-Cervantes, R. M., & Velázquez-Aragón, J. A. (2023) · doi:10.20944/preprints202305.1223.v1 · Cited by 44
Elucidating the cellular dynamics of the brain with single-cell RNA sequencing
Cardona‐Alberich, A., Tourbez, M., Pearce, S. F., & Sibley, C. R. (2021) · RNA Biology · doi:10.1080/15476286.2020.1870362 · Cited by 33
Bilinovich, S. M., Uhl, K. L., Lewis, K., Soehnlen, X., Williams, M. R., Vogt, D. L., Prokop, J. W., & Campbell, D. B. (2020) · Developmental Neuroscience · doi:10.1159/000513536 · Cited by 31
Self-citationWidespread genotype-phenotype correlations in intellectual disability
Casanova, E. L., Gerstner, Z., Sharp, J. L., Casanova, M. F., & Feltus, F. A. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00535 · Cited by 31
Experimental Models to Study Autism Spectrum Disorders: hiPSCs, Rodents and Zebrafish
Pensado‐López, A., Veiga-Rúa, S., Carracedo, Á., Allegue, C., & Sanchez, L. E. (2020) · Genes · doi:10.3390/genes11111376 · Cited by 34
Sharma, R., Frasch, M. G., Zelgert, C., Zimmermann, P., Fabre, B. R., Wilson, R., Waldenberger, M., MacDonald, J. W., Bammler, T. K., Lobmaier, S. M., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01310-x · Cited by 37
Stoccoro, A., Conti, E., Scaffei, E., Calderoni, S., Coppedè, F., Migliore, L., & Battini, R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119138 · Cited by 30
An altered glial phenotype in the NL3R451C mouse model of autism
Matta, S. M., Moore, Z., Walker, F. R., Hill‐Yardin, E. L., & Crack, P. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-71171-y · Cited by 28
Gandawijaya, J., Bamford, R. A., Burbach, J. P. H., & Oguro‐Ando, A. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.611379 · Cited by 33
Tissue-specific enhancer functional networks for associating distal regulatory regions to disease
Chen, X. X., Zhou, J., Zhang, R., Wong, A. K., Park, C. Y., Theesfeld, C. L., & Troyanskaya, O. G. (2021) · Cell Systems · doi:10.1016/j.cels.2021.02.002 · Cited by 25
A common molecular signature in ASD gene expression: following Root 66 to autism
Díaz-Beltrán, L., Esteban, F. J., & Wall, D. P. (2016) · Translational Psychiatry · doi:10.1038/tp.2015.112 · Cited by 30
A dual-activity topoisomerase complex regulates mRNA translation and turnover
Su, S., Xue, Y., Sharov, A. A., Zhang, Y., Lee, S. K., Martindale, J. L., Li, W., Ku, W. L., Zhao, K., De, S., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac538 · Cited by 27
Pathophysiological Heterogeneity of the BBSOA Neurodevelopmental Syndrome
Bertacchi, M., Tocco, C., Schaaf, C. P., & Studer, M. (2022) · Cells · doi:10.3390/cells11081260 · Cited by 28
Knott, R., Johnson, B. P., Tiego, J., Mellahn, O. J., Finlay, A., Kallady, K., Kouspos, M., Sindhu, V. P. M., Hawi, Z., Arnatkevičiūtė, A., et al. (2021) · Molecular Autism · doi:10.1186/s13229-021-00457-3 · Cited by 28
Biological implications of genetic variations in autism spectrum disorders from genomics studies
Zhang, Y., Liu, X., Guo, R., Xu, W., Guo, Q. J., Hao, C., Ni, X., & Li, W. (2021) · Bioscience Reports · doi:10.1042/bsr20210593 · Cited by 33
Hoang, N., Yuen, R. K. C., Howe, J., Drmic, I., Ambrozewicz, P., Russell, C., Vorstman, J. A. S., Weiss, S. K., Anagnostou, E. A., Malow, B. A., et al. (2021) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62086 · Cited by 25
Kim, S., Oh, H., Choi, S. H., Yoo, Y.-E., Noh, Y. W., Cho, Y., Im, G. H., Lee, C., Oh, Y., Yang, E., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111398 · Cited by 21
Molecular and long-term behavioral consequences of neonatal opioid exposure and withdrawal in mice
Dunn, A. D., Robinson, S. A., Nwokafor, C., Estill, M. S., Ferrante, J. R., Shen, L., Lemchi, C. O., Creus‐Muncunill, J., Ramirez, A., Mengaziol, J., et al. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1202099 · Cited by 25
Non-coding de novo mutations in chromatin interactions are implicated in autism spectrum disorder
Kim, I. B., Lee, T., Lee, J., Kim, J., Lee, S., Koh, I. G., Kim, J. H., An, J., Lee, H., Kim, W. K., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01697-2 · Cited by 27
CHD8 suppression impacts on histone H3 lysine 36 trimethylation and alters RNA alternative splicing
Kerschbamer, E., Arnoldi, M., Tripathi, T., Pellegrini, M., Maturi, S., Erdin, S., Salviato, E., Leva, F. D., Sebestyén, E., Dassi, E., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac1134 · Cited by 27
Reilly, J., Gallagher, L., Leader, G., & Shen, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242773 · Cited by 25
Khandelwal, N., Cavalier, S., Rybalchenko, V., Kulkarni, A., Anderson, A. G., Konopka, G., & Gibson, J. R. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00995-x · Cited by 21
Imoh, P. O., & Idoko, I. P. (2022) · International Journal of Scientific Research and Modern Technology. · doi:10.38124/ijsrmt.v1i8.463 · Cited by 28
Yuan, B., Wang, M., Wu, X., Cheng, P., Zhang, R., Zhang, R., Yu, S., Zhang, J., Du, Y., Wang, X., et al. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-023-01037-6 · Cited by 28
Singla, R., Mishra, A., Lin, H., Lorsung, E., Le, N., Tin, S., Jin, V. X., & Cao, R. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23116317 · Cited by 26
Characterizing the dynamic and functional DNA methylation landscape in the developing human cortex
Perzel Mandell, K. A., Price, A. J., Wilton, R., Collado-Torres, L., Tao, R., Eagles, N. J., Szalay, A. S., Hyde, T. M., Weinberger, D. R., Kleinman, J. E., et al. (2021) · Epigenetics · doi:10.1080/15592294.2020.1786304 · Cited by 21
Heterogeneity in clinical sequencing tests marketed for autism spectrum disorders
Hoang, N., Buchanan, J. A., & Scherer, S. W. (2018) · npj Genomic Medicine · doi:10.1038/s41525-018-0066-3 · Cited by 26
Shimelis, H., Oetjens, M. T., Walsh, L. K., Wain, K. E., Znidarsic, M., Myers, S. M., Finucane, B. M., Ledbetter, D. H., & Martin, C. L. (2023) · American Journal of Psychiatry · doi:10.1176/appi.ajp.22010062 · Cited by 25
Molecular and cellular dynamics of the developing human neocortex at single-cell resolutionPreprint
Wang, L., Wang, C., Moriano, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.16.575956 · Cited by 27
Dugger, S. A., Dhindsa, R. S., Sampaio, G. L. D. A., Ressler, A. K., Rafikian, E. E., Petri, S., Letts, V. A., Teoh, J. J., Ye, J., Colombo, S., et al. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010952 · Cited by 30
Common genetic risk factors in ASD and ADHD co-occurring families
Zhou, A., Cao, X., Mahaganapathy, V., Azaro, M. A., Gwin, C., Wilson, S., Buyske, S. G., Bartlett, C. W., Flax, J. F., Brzustowicz, L. M., et al. (2022) · Human Genetics · doi:10.1007/s00439-022-02496-z · Cited by 24
Xie, Z., Eagleson, K. L., Wu, H., & Levitt, P. R. (2016) · eNeuro · doi:10.1523/eneuro.0074-16.2016 · Cited by 26
Ey, E., Torquet, N., de Chaumont, F., Lévi‐Strauss, J., Ferhat, A.-T. L. S., Sourd, A. L., Boeckers, T. M., & Bourgeron, T. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00365 · Cited by 21
Gudenas, B. L., Srivastava, A. K., & Wang, L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178532 · Cited by 26
Lombardo, M. V., Moon, H. M., Su, J. J., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/064683 · Cited by 26
More, R. P., Warrier, V., Brunel, H., Buckingham, C., Smith, P. L., Allison, C. L., Holt, R., Bradshaw, C. R., & Baron‐Cohen, S. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01938-4 · Cited by 25
Saffari, A., Arno, M. J., Nasser, E. E., Ronald, A., Wong, C. C. Y., Schalkwyk, L. C., Mill, J. S., Dudbridge, F., & Meaburn, E. L. (2019) · Molecular Autism · doi:10.1186/s13229-019-0285-1 · Cited by 32
Lombardo, M. V., Busuoli, E. M., Schreibman, L., Stahmer, A. C., Pramparo, T., Landi, I., Mandelli, V., Bertelsen, N., Barnes, C. C., Gazestani, V., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01239-2 · Cited by 29
Liu, H., Barnes, J., Pedrosa, E., Herman, N. S., Salas, F., Wang, P., Zheng, D., & Lachman, H. M. (2020) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09317-2 · Cited by 25
Auditory processing in rodent models of autism: a systematic review
Wilde, M., Constantin, L., Thorne, P. R., Montgomery, J. M., Scott, E. K., & Cheyne, J. E. (2022) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-022-09458-6 · Cited by 19
Nebel, R. A., Kirschen, J., Cai, J., Woo, Y. J., Cherian, K. A., & Abrahams, B. S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129270 · Cited by 23
Self-citationAmatya, D. N., Linker, S. B., Mendes, A. P. D., Santos, R., Erikson, G. A., Shokhirev, M. N., Zhou, Y., Sharpee, T. O., Gage, F. H., Marchetto, M. C., et al. (2019) · Stem Cell Reports · doi:10.1016/j.stemcr.2019.08.001 · Cited by 20
Riggs, E. R., Bingaman, T. I., Barry, C.-A., Behlmann, A., Bluske, K. K., Bostwick, B. L., Bright, A., Chen, C., Clause, A. R., Dharmadhikari, A. V., et al. (2022) · Genetics in Medicine · doi:10.1016/j.gim.2022.05.001 · Cited by 26
Functional neurogenomics in autism spectrum disorders: A decade of progress
Bicks, L. K., & Geschwind, D. H. (2024) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2024.102858 · Cited by 30
PANDA: Prioritization of autism‐genes using network‐based deep‐learning approach
Zhang, Y., Chen, Y., & Hu, T. (2020) · Genetic Epidemiology · doi:10.1002/gepi.22282 · Cited by 22
Relationship between sex biases in gene expression and sex biases in autism and Alzheimer’s disease
Fass, S. B., Mulvey, B., Chase, R., Yang, W. C., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Biology of Sex Differences · doi:10.1186/s13293-024-00622-2 · Cited by 25
Self-citationA method to delineate de novo missense variants across pathways prioritizes genes linked to autism
Koire, A. M., Buchovecky, C., Katsonis, P., Kim, Y. W., Wilson, S. J., & Lichtarge, O. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc1739 · Cited by 22
Bidirectional genetic overlap between autism spectrum disorder and cognitive traits
Hope, S., Shadrin, A. A., Lin, A., Bahrami, S., Rødevand, L. N., Frei, O., Hübenette, S. J., Cheng, W., Hindley, G., Nag, H. E., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02563-7 · Cited by 28
Li, J., Wang, L., Yu, P., Shi, L., Zhang, K., Sun, Z. S., & Xia, K. (2017) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32543 · Cited by 22
Chiang, T.-W., Mai, T., & Chuang, T. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04692-0 · Cited by 21
Single-cell analysis of prenatal and postnatal human cortical developmentPreprint
Velmeshev, D., Perez, Y., Yan, Z., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.24.513555 · Cited by 24
Autism-associated ANK2 regulates embryonic neurodevelopment
Kawano, S., Baba, M., Fukushima, H., Miura, D., Hashimoto, H., & Nakazawa, T. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.03.058 · Cited by 26
Gawlińska, K., Gawliński, D., Borczyk, M., Korostyński, M., Przegaliński, E., & Filip, M. (2021) · Nutrients · doi:10.3390/nu13093212 · Cited by 27
Meili, F., Wei, W., Sin, W., Meyers, W. M., Dascalu, I., Callaghan, D. B., Rogić, S., Pavlidis, P., & Haas, K. Z. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.11.011 · Cited by 23
Cha, J., Yu, J., Cho, J.-W., Hemberg, M., & Lee, I. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac1042 · Cited by 20
Bodnar, B. H., DeGruttola, A. K., Zhu, Y., Lin, Y., Zhang, Y., Mo, X., & Hu, W. (2020) · Translational research · doi:10.1016/j.trsl.2020.05.001 · Cited by 26
Kung, P.-L., Chou, T.-W., Lindman, M., Chang, N. P., Estevez, I., Buckley, B. D., Atkins, C., & Daniels, B. P. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02460-8 · Cited by 25
Mosca, E., Bersanelli, M., Gnocchi, M., Moscatelli, M., Castellani, G., Milanesi, L., & Mezzelani, A. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00129 · Cited by 25
Decoding Crucial LncRNAs Implicated in Neurogenesis and Neurological Disorders
Ayana, R., Singh, S., & Pati, S. (2017) · Stem Cells and Development · doi:10.1089/scd.2016.0290 · Cited by 22
Bahry, J. A., Fedder-Semmes, K. N., Sceniak, M. P., & Sabo, S. L. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.692232 · Cited by 24
Dysregulation of translational control signaling in autism spectrum disorders
Hooshmandi, M., Wong, C., & Khoutorsky, A. (2020) · Cellular Signalling · doi:10.1016/j.cellsig.2020.109746 · Cited by 17
A transcriptomic atlas of astrocyte heterogeneity across space and time in mouse and marmoset
Schroeder, M. E., McCormack, D. M., Metzner, L. R., Kang, J., Li, K. X., Yu, E., Melamed, L., Levandowski, K. M., Zaniewski, H., Zhang, Q., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.09.011 · Cited by 30
Pal, A., Noble, M. A., Morales, M., Pal, R., Baumgartner, M., Yang, J. W., Yim, K., Uebbing, S., & Noonan, J. P. (2025) · Cell · doi:10.1016/j.cell.2025.01.007 · Cited by 38
Cortabitarte, A. D. S., Berkel, S., Cristian, F.-B., Fischer, C., & Rappold, G. (2018) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-018-9233-1 · Cited by 23
Thompson, B. L., & Levitt, P. (2015) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-015-9131-8 · Cited by 23
Diagnostic Yield and Economic Implications of Whole-Exome Sequencing for ASD Diagnosis in Israel
Ishay, R. T.-B., Shil, A., Solomon, S., Sadigurschi, N., Abu-Kaf, H., Meiri, G., Flusser, H., Michaelovski, A., Dinstein, I., Golan, H. M., et al. (2021) · Genes · doi:10.3390/genes13010036 · Cited by 19
Self-citationA Foundational Atlas of Autism Protein Interactions Reveals Molecular ConvergencePreprint
Wang, B., Vartak, R. S., Zaltsman, Y., Naing, Z. Z. C., Hennick, K. M., Polacco, B. J., Bashir, A., Eckhardt, M., Bouhaddou, M., Xu, J., et al. (2023) · SSRN Electronic Journal · doi:10.1101/2023.12.03.569805 · Cited by 26
Molecular signatures of cortical expansion in the human foetal brain
Ball, G., Oldham, S., Kyriakopoulou, V., Williams, L. Z. J., Karolis, V. R., Price, A. N., Hutter, J. M., Seal, M. L., Alexander‐Bloch, A. F., Hajnal, J. V., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54034-2 · Cited by 28
Saeliw, T., Kanlayaprasit, S., Thongkorn, S., Songsritaya, K., Sanannam, B., Sae‐Lee, C., Jindatip, D., Hu, V. W., & Sarachana, T. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087518 · Cited by 23
Transcriptional consequences of MBD5 disruption in mouse brain and CRISPR-derived neurons
Seabra, C. M., Aneichyk, T., Erdin, S., Tai, D. J. C., de Esch, C. E. F., Razaz, P., An, Y., Manavalan, P., Ragavendran, A., Stortchevoi, A., et al. (2020) · Molecular Autism · doi:10.1186/s13229-020-00354-1 · Cited by 20
Dewitt, J. J., Hecht, P. M., Grepo, N., Wilkinson, B., Evgrafov, O. V., Morris, K. V., Knowles, J. A., & Campbell, D. B. (2016) · Developmental Neuroscience · doi:10.1159/000453258 · Cited by 22
Self-citationCasanova, M., Switala, A. E., Dandamudi, S., Hickman, A. R., Vandenbrink, J. P., Sharp, J. L., Feltus, F. A., & Casanova, M. F. (2019) · Autism Research · doi:10.1002/aur.2112 · Cited by 17
Kohane, I. S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.024 · Cited by 21
Genetic factors contributing to autism spectrum disorder in Williams-Beuren syndrome
Codina‐Solà, M., Costa‐Roger, M., Pérez-García, D., Flores, R., Palacios-Verdú, M. G., Cuscó, I., & Jurado, L. A. P. (2019) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2019-106080 · Cited by 22
Cheon, S. H., Culver, A. M., Bagnell, A. M., Ritchie, F. D., Vacharasin, J. M., McCord, M. M., Papendorp, C. M., Chukwurah, E., Smith, A. J., Cowen, M. H., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01474-1 · Cited by 29
Broad transcriptomic dysregulation across the cerebral cortex in ASDPreprint
Haney, J. R., Wamsley, B., Chen, G. T., Parhami, S., Emani, P. S., Chang, N., Hoftman, G. D., de Alba, D., Kale, G. P., Ramaswami, G., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.17.423129 · Cited by 21
Hu, V. W., Hong, Y., Xu, M., & Shu, H. T. (2020) · Autism · doi:10.1177/1362361320971085 · Cited by 17
Ren, B., Burkovetskaya, M., Jung, Y., Bergdolt, L., Totusek, S., Martinez‐Cerdeno, V., Stauch, K., Korade, Z., & Dunaevsky, A. (2023) · Glia · doi:10.1002/glia.24331 · Cited by 18
Lee, S., Jung, W. B., Moon, H., Im, G. H., Noh, Y. W., Shin, W., Kim, Y. G., Yi, J. H., Hong, S., Jung, Y., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02572-y · Cited by 23
Decoding gene networks controlling hypothalamic and prethalamic neuron development
Kim, D. W., Duncan, L. H., Xu, Z., Chang, M., Sejer, S., Terrillion, C. E., Kanold, P. O., Place, E., & Blackshaw, S. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115858 · Cited by 21
Rasile, M., Lauranzano, E., Faggiani, E., Ravanelli, M. M., Colombo, F., Mirabella, F., Corradini, I., Malosio, M. L., Borreca, A., Focchi, E., et al. (2022) · The EMBO Journal · doi:10.15252/embj.2022111192 · Cited by 20
FMRP-dependent production of large dosage-sensitive proteins is highly conserved
Flanagan, K., Baradaran‐Heravi, A., Yin, Q., Duc, K. D., Spradling, A. C., & Greenblatt, E. J. (2022) · Genetics · doi:10.1093/genetics/iyac094 · Cited by 19
Prenatal Sex Hormone Exposure Is Associated with the Development of Autism Spectrum Disorder
Li, M., Usui, N., & Shimada, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032203 · Cited by 24
Trifonova, E. A., Мустафин, З. С., Lashin, S. A., & Kochetov, A. V. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23020967 · Cited by 19
Molecular signatures from multi‐omics of autism spectrum disorders and schizophrenia
Nomura, J., Mardo, M., & Takumi, T. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15514 · Cited by 22
Autism genes converge on microtubule biology and RNA-binding proteins during excitatory neurogenesisPreprint
Sun, N., Teyssier, N., Wang, B., Drake, S., Seyler, M., Zaltsman, Y., Everitt, A., Teerikorpi, N., Willsey, H. R., Goodarzi, H., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.22.573108 · Cited by 21
Limited impact of Cntn4 mutation on autism-related traits in developing and adult C57BL/6J mice
Molenhuis, R. T., Bruining, H., Remmelink, E., de Visser, L., Loos, M., Burbach, J. P. H., & Kas, M. J. (2016) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-016-9140-2 · Cited by 19
Metadata
- Authors
- Abrahams, B. S., Arking, D. E., Campbell, D. B., Mefford, H. C., Morrow, E. M., Weiss, L. A., Menashe, I., Wadkins, T., Banerjee-Basu, S., & Packer, A.
- Affiliations
- Albert Einstein College of Medicine (US)
- Johns Hopkins University (US)
- University of Southern California (US)
- University of Washington (US)
- Brown University (US)
- University of California, San Francisco (US)
- Ben-Gurion University of the Negev (IL)
- MindSpec (US)
- Simons Foundation (US)
- Corresponding author
- Packer, Alan
- Venue
- Molecular Autism
- Published
- 2013-10-03
- Volume
- 4
- Issue
- 1
- Pages
- 36-36
- ISSN
- 2040-2392 (ISSN-L)
- PMC
- PMC3851189
- OpenAlex
- W2168950294
- Cited by
- 873
- References
- 9
- Citations by year
- 2026: 103 · 2025: 115 · 2024: 79 · 2023: 94 · 2022: 110 · 2021: 95 · 2020: 89 · 2019: 60 · 2018: 46 · 2017: 31 · 2016: 26 · 2015: 12 · 2014: 10 · 2013: 1
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Molecular Autism (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Simons Foundation
- Simons Foundation Autism Research Initiative
- National Institute of Mental Health (R01MH100027)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- autism spectrum disorder, candidate genes, autism genetics, evidence evaluation
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 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-06 (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
