The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Cognitive Performance Among Carriers of Pathogenic Copy Number Variants: Analysis of 152,000 UK Biobank Subjects
Open accessAbstract
Background The UK Biobank is a unique resource for biomedical research, with extensive phenotypic and genetic data on half a million adults from the general population. We aimed to examine the effect of neurodevelopmental copy number variants (CNVs) on the cognitive performance of participants.Methods We used Affymetrix Power Tools and PennCNV-Affy software to analyze Affymetrix microarrays of the first 152,728 genotyped individuals. We annotated a list of 93 CNVs and compared their frequencies with control datasets. We analyzed the performance on seven cognitive tests of carriers of 12 CNVs associated with schizophrenia (n = 1087) and of carriers of another 41 neurodevelopmental CNVs (n = 484).Results The frequencies of the 93 CNVs in the Biobank subjects were remarkably similar to those among 26,628 control subjects from other datasets. Carriers of schizophrenia-associated CNVs and of the group of 41 other neurodevelopmental CNVs had impaired performance on the cognitive tests, with nine of 14 comparisons remaining statistically significant after correction for multiple testing. They also had lower educational and occupational attainment (p values between 10-7 and 10-18). The deficits in cognitive performance were modest (Z score reductions between 0.01 and 0.51), compared with individuals with schizophrenia in the Biobank (Z score reductions between 0.35 and 0.90).Conclusions This is the largest study on the cognitive phenotypes of CNVs to date. Adult carriers of neurodevelopmental CNVs from the general population have significant cognitive deficits. The UK Biobank will allow unprecedented opportunities for analysis of further phenotypic consequences of CNVs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The deletion is significantly enriched in the SJCHU (OR 1.9, 95% CI 1.5 to 2.4) and OUH CMA database (OR 3.1, 95% CI 1.6 to 5.7), compared with the deletion prevalence from the UK BIOBANK (0.36%, 544/151619)16 (table 2).”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The deletion is significantly enriched in the SJCHU (OR 1.9, 95% CI 1.5 to 2.4) and OUH CMA database (OR 3.1, 95% CI 1.6 to 5.7), compared with the deletion prevalence from the UK BIOBANK (0.36%, 544/151619)16 (table 2).”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“We used data on CNV frequency from the UK BIOBANK (151 619 individuals),16 which is an unselected population.”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The reciprocal duplication is not enriched in both the SJCHU and OUH cohorts (table 2) when using the prevalence in an unselected population provided by the UK BIOBANK (0.5%, 762/151619)16 and is therefore used as a control neutral CNV throughout the rest of this study.”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
The cited source says what the claim attributes to it.
In the citing paper
“The reciprocal duplication is not enriched in both the SJCHU and OUH cohorts (table 2) when using the prevalence in an unselected population provided by the UK BIOBANK (0.5%, 762/151619)16 and is therefore used as a control neutral CNV throughout the rest of this study.”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“There is, however, no significant enrichment 1.55 (95% CI 0.97 to 2.48) if the UK BIOBANK population frequency of 0.36% is used as the control group.”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Currently, the best estimates range from 0.36% (UK BIOBANK)16 to 0.24% (Icelandic population).41”
From Estimating the effect size of the 15Q11.2 BP1–BP2 deletion and its contribution to neurodevelopmental symptoms: recommendations for practice (2019) · cites this paper as [16]
Experimental — accuracy not yet measuredIn the citing paper
“penetrance can be highly variable, ranging from subtle effects detectable by neuropsychological tests to mild degrees of anxiety/ADHD to co-occurrence of severe psychiatric disorders (Kendall et al., 2017; Stefansson et al., 2014; Ulfarsson et al., 2017)”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Kendall et al., 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Schizophrenia: A Concise Overview of Incidence, Prevalence, and Mortality
McGrath, J., Saha, S., Chant, D., & Welham, J. (2008) · Epidemiologic Reviews · doi:10.1093/epirev/mxn001 · Cited by 2,280
Structural variation in the human genome
Feuk, L., Carson, A. R., & Scherer, S. W. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1767 · Cited by 2,111
Wang, K., Li, M., Hadley, D., Liu, R., Glessner, J., Grant, S. F. A., Hakonarson, H., & Bucan, M. (2007) · Genome Research · doi:10.1101/gr.6861907 · Cited by 1,792
Rare chromosomal deletions and duplications increase risk of schizophrenia
The International Schizophrenia Consortium (2008) · Nature · doi:10.1038/nature07239 · Cited by 1,475
What makes UK Biobank special?
Collins, R. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60404-8 · Cited by 1,128
Intelligence and socioeconomic success: A meta-analytic review of longitudinal research
Strenze, T. (2006) · Intelligence · doi:10.1016/j.intell.2006.09.004 · Cited by 1,019
Standard occupational classification
Surveys (1990) · HMSO eBooks · Cited by 963
Kirov, G., Pocklington, A. J., Holmans, P., Ivanov, D., Ikeda, M., Ruderfer, D., Moran, J., Chambert, K., Toncheva, D., Georgieva, L., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.154 · Cited by 844 · cited 4×
“Much less is known about the effects of these CNVs in adults from the general population (9, 10).”
InfluentialSelf-citationCoe, B. P., Witherspoon, K., Rosenfeld, J. A., van Bon, B. W. M., Vulto-van Silfhout, A. T., Bosco, P., Friend, K. L., Baker, C., Buono, S., Vissers, L. E. L. M., et al. (2014) · Nature Genetics · doi:10.1038/ng.3092 · Cited by 720
Microduplications of 16p11.2 are associated with schizophrenia
Wellcome Trust Case Control Consortium, McCarthy, S. E., Makarov, V., Kirov, G., Addington, A. M., McClellan, J., Yoon, S., Perkins, D. O., Dickel, D. E., Kusenda, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.474 · Cited by 711
Self-citation
Cited by
Sorted by citations
Items 101–200 of 205
Sønderby, I. E., Ching, C. R. K., Thomopoulos, S. I., van der Meer, D., Villalón‐Reina, J. E., Agartz, I., Amunts, K., Arango, C., Armstrong, N. J., Ayesa‐Arriola, R., et al. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/57erc · Cited by 11
Fraza, C., Sønderby, I. E., Bøen, R., Shi, Y., Beckmann, C. F., & Marquand, A. F. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00322-1 · Cited by 10
Gur, R. C., Moore, T. M., Weinberger, R., Mekori‐Domachevsky, E., Gross, R., Emanuel, B. S., Zackai, E. H., Moss, E., Gallagher, R. S., McGinn, D. E., et al. (2021) · Brain and Behavior · doi:10.1002/brb3.2221 · Cited by 10
Clinical features and magnesium levels: Novel insights in 15q11.2 BP1–BP2 copy number variants
Meossi, C., Carrer, A., Ciaccio, C., Estienne, M., Silipigni, R., Sciacca, F. L., Pantaleoni, C., D’Arrigo, S., & Milani, D. (2023) · Journal of Intellectual Disability Research · doi:10.1111/jir.13038 · Cited by 9
Dennison, C. A., Martin, J., Shakeshaft, A., Riglin, L., Powell, V. E., Kirov, G., Owen, M. J., O’Donovan, M. C., & Thapar, A. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.03.004 · Cited by 9
Self-citationDisentangling mechanisms behind the pleiotropic effects of proximal 16p11.2 BP4-5 CNVs
Auwerx, C., Moix, S., Kutalik, Z., & Reymond, A. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.08.014 · Cited by 10
Chung, R.-H., Chiu, Y.-F., Hung, Y.-J., Lee, W., Wu, K., Chen, H.-L., Lin, M., Chen, Y. I., Quertermous, T., & Hsiung, C. A. (2017) · BMC Genomics · doi:10.1186/s12864-017-3975-0 · Cited by 9
Sha, Z., Sun, K. Y., Jung, B., Barzilay, R., Moore, T. M., Almasy, L. A., Forsyth, J. K., Prem, S., Gandal, M. J., Seidlitz, J., et al. (2025) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240445 · Cited by 8
Metabolic effects of the schizophrenia-associated 3q29 deletion
Pollak, R. M., Purcell, R. H., Rutkowski, T. P., Malone, T., Pachura, K. J., Bassell, G. J., Epstein, M. P., Dawson, P. A., Smith, M. R., Jones, D. P., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01824-1 · Cited by 8
Omics-informed CNV calls reduce false-positive rates and improve power for CNV-trait associations
Lepamets, M., Auwerx, C., Nõukas, M., Claringbould, A., Porcu, E., Kals, M., Jürgenson, T., Morris, A. P., Võsa, U., Bochud, M., et al. (2022) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2022.100133 · Cited by 8
Tuke, M. A., Tyrrell, J., Ruth, K. S., Beaumont, R. N., Wood, A. R., Murray, A., Frayling, T. M., Weedon, M. N., & Wright, C. F. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.06.001 · Cited by 8
Katzourou, I. K., Barroso, I., Benger, L., Ingason, A., Stow, D., Tsang, R. S. M., Wood, M. L., Kirov, G., Walters, J., Owen, M. J., et al. (2025) · BJPsych Open · doi:10.1192/bjo.2025.43 · Cited by 7
Self-citationBiedziak, B., Dąbrowska, J., Szponar‐Żurowska, A., Bukowska‐Olech, E., Jamsheer, A., Mojs, E. H., Mullé, J. G., Płoski, R., & Mostowska, A. (2022) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.63015 · Cited by 7
Fenner, E., Holmans, P., O’Donovan, M. C., Owen, M. J., Walters, J., & Rees, E. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03601-8 · Cited by 7
Self-citationSeeCiTe: a method to assess CNV calls from SNP arrays using trio data
Lavrichenko, K., Helgeland, Ø., Njølstad, P. R., Jonassen, I., & Johansson, S. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab028 · Cited by 7
Visual-Motor Integration Deficits in 3q29 Deletion Syndrome
Pollak, R. M., Burrell, T. L., Cubells, J. F., Klaiman, C., Murphy, M. M., Saulnier, C. A., Walker, E. F., White, S. P., & Mullé, J. G. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06034-2 · Cited by 7
Doherty, J. L., Cunningham, A. C., Chawner, S. J. R. A., Moss, H., Dima, D. C., Linden, D. E. J., Owen, M. J., van den Bree, M. B. M., & Singh, K. D. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01628-x · Cited by 7
Self-citationShanta, O., Klein, M., Sacks, M., MacDonald, J. R., Maihofer, A. X., Ahangari, M. M., Engchuan, W., Thiruvahindrapuram, B., Guevara, J., Hong, O., et al. (2025) · medRxiv · doi:10.1101/2025.07.11.25331310 · Cited by 7
Copy-number variants differ in frequency across genetic ancestry groups
Schultz, L. M., Knighton, A., Huguet, G., Saci, Z., Jean‐Louis, M., Mollon, J., Knowles, E. E. M., Glahn, D. C., Jacquemont, S., & Almasy, L. A. (2024) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2024.100340 · Cited by 7
Kendall, K. M., John, A. M., Lee, S. C., Rees, E., Pardiñas, A. F., Banos, M. D. P., Owen, M. J., O’Donovan, M. C., Kirov, G., Lloyd, K. R., et al. (2020) · BJPsych Open · doi:10.1192/bjo.2020.42 · Cited by 6
Self-citationBøen, R., Kaufmann, T., van der Meer, D., Frei, O., Agartz, I., Ames, D. J., Andersson, M., Armstrong, N. J., Artiges, É., Atkins, J., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.08.018 · Cited by 6
Self-citationAdaptive behaviour deficits in individuals with 3q29 deletion syndrome
Pollak, R. M., Burrell, T. L., Cubells, J. F., Klaiman, C., Murphy, M. M., Saulnier, C. A., Walker, E. F., White, S. P., & Mullé, J. G. (2023) · Journal of Intellectual Disability Research · doi:10.1111/jir.13094 · Cited by 7
Copy number variant risk loci for schizophrenia converge on the BDNF pathway
Ehrhart, F., Silva, A. I., van Amelsvoort, T., von Scheibler, E. N. M. M., Evelo, C. T., & Linden, D. E. J. (2024) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2024.2327027 · Cited by 6
A cross-comparison of cognitive ability across 8 genomic disorders
Mortillo, M., & Mullé, J. G. (2021) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2021.04.001 · Cited by 7
Moreau, C. A., Kumar, K., Harvey, A., Huguet, G., Urchs, S. G. W., Douard, E. A., Schultz, L. M., Sharmarke, H., Jizi, K., Martin, C.-O., et al. (2021) · medRxiv · doi:10.1101/2021.05.21.21257604 · Cited by 8
Self-citationDinneen, T. J., Ghrálaigh, F. N., Ormond, C., Heron, E. A., Kirov, G., Lopez, L. M., & Gallagher, L. (2024) · npj Genomic Medicine · doi:10.1038/s41525-024-00426-8 · Cited by 5
Self-citationRammos, A., Blakey, R., Dennison, C. A., Lewis, S. J., Ali, N. M. H., Davies, A., Wren, Y. E., Humphries, K., Sandy, J. R., Rees, E., et al. (2025) · Human Molecular Genetics · doi:10.1093/hmg/ddaf115 · Cited by 5
Self-citationLengyel, A., Pinti, É., Pikó, H., Árvai, K., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Molecular Cytogenetics · doi:10.1186/s13039-022-00623-z · Cited by 5
Bøen, R., Kaufmann, T., Frei, O., van der Meer, D., Djurovic, S., Andreassen, O. A., Selmer, K. K., Alnæs, D., & Sønderby, I. E. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02358-w · Cited by 5
COPY NUMBER VARIATION AND NEURODEVELOPMENTAL PROBLEMS IN FEMALES AND MALES IN THE GENERAL POPULATION
Martin, J., Tammimies, K., Karlsson, R., Lu, Y., Larsson, H., Lichtenstein, P., & Magnusson, P. K. E. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.07.005 · Cited by 5
Caporale, N., & Testa, G. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814879-2.00017-0 · Cited by 5
Ma, J., Xia, T.-J., Li, S., Yin, S., Luo, S., & Li, G. (2022) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2022.11.003 · Cited by 5
Pollak, R. M., Murphy, M. M., Epstein, M. P., Zwick, M. E., Klaiman, C., Saulnier, C. A., the Emory 3q29 Project, & Mulle, J. G. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/386243 · Cited by 5
Männik, K., Arbogast, T., Lepamets, M., Lepik, K., Pellaz, A., Ademi, H., Kupchinsky, Z. A., Ellegood, J., Attanasio, C., Messina, A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/716415 · Cited by 5
He, Z., Nie, Y., Zhang, W., Liu, Y., Liu, Y., Xue, H., Ai, S., Feng, H., Zhou, Y., Zhang, J., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251344253 · Cited by 4
Appreciating the Population-wide Impact of Copy Number Variants on Cognition
An, J., & Sanders, S. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.010 · Cited by 4
Wang, C., Chen, H., Wang, X., Wu, Z., Liu, W., Guo, Y., Ren, J., & Ding, N. (2019) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.18.0696 · Cited by 4
Brownstein, C. A., Douard, E. A., Haynes, R. L., Koh, H. Y., Haghighi, A., Keywan, C., Martin, B. E., Alexandrescu, S., Haas, E. A., Vargas, S. O., et al. (2022) · Advanced Genetics · doi:10.1002/ggn2.202200012 · Cited by 4
Chawner, S. J. R. A., Owen, M. J., Holmans, P., Raymond, F. L., Skuse, D., Hall, J., & van den Bree, M. B. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/535708 · Cited by 4
Self-citationGenetic association study of psychotic experiences in UK BiobankPreprint
Legge, S. E., Jones, H. J., Kendall, K. M., Pardiñas, A. F., Menzies, G., Bracher-Smith, M., Escott‐Price, V., Rees, E., Davis, K. A. S., Hotopf, M. H., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/583468 · Cited by 4
Self-citationKatzourou, I. K., van den Bree, M. B. M., George, K., Owen, M. J., Walters, J. T., Holmans, P., Lynch, J., Katzourou, I. K., Underwood, J. F. J., van Heel, D. A., et al. (2026) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2026.02.021 · Cited by 3
Self-citationForsyth, J. K., Zhu, J., Chavannes, A. S., Trevorrow, Z. H., Hyat, M., Sievertsen, S. A., Ferreira-Ianone, S., Conomos, M. P., Nuechterlein, K. H., Asarnow, R. F., et al. (2026) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240779 · Cited by 3
Jönsson, L., Martin, J., Lichtenstein, P., Magnusson, P. K. E., Lundström, S., Westberg, L., & Tammimies, K. (2023) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.2191 · Cited by 3
Kendall, K. M., Legge, S. E., Fenner, E., Holmans, P., & Walters, J. T. (2026) · Schizophrenia · doi:10.1038/s41537-025-00725-8 · Cited by 3
Self-citationZaks, N., Mahjani, B., Reichenberg, A., & Birnbaum, R. (2026) · npj Genomic Medicine · doi:10.1038/s41525-026-00597-6 · Cited by 3
Determinants of functional burden pleiotropy and gene dosage responses across human traits
Kazem, S., Kumar, K., Yang, J., Bénitière, F., Huguet, G., Mollon, J., Renne, T., Schultz, L. M., Knowles, E. E. M., Engchuan, W., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-76676-0 · Cited by 3
Musculoskeletal phenotypes in 3q29 deletion syndrome
Pollak, R. M., Tilmon, J. C., Murphy, M. M., Gambello, M. J., Russo, R. S., Dormans, J. P., & Mullé, J. G. (2023) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.63384 · Cited by 3
Xie, F.-Y., Zhang, X.-G., Chen, J., Xu, X., Li, S., Xia, T.-J., Chen, L.-N., Yin, S., Ou, X., & Ma, J. (2024) · iScience · doi:10.1016/j.isci.2024.111508 · Cited by 2
Behavioral Phenotypes and Comorbidity in 3q29 Deletion Syndrome: Results from the 3q29 Registry
Pollak, R. M., Mortillo, M., Murphy, M. M., & Mullé, J. G. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06218-w · Cited by 2
Wu, X., Wu, B., Kang, J., Chen, L., Deng, Y., Chen, S.-D., Dong, Q., Feng, J., Cheng, W., & Yu, J. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02717-z · Cited by 3
Autism spectrum disorder symptom expression in individuals with 3q29 deletion syndrome
Pollak, R. M., Pincus, J. E., Burrell, T. L., Cubells, J. F., Klaiman, C., Murphy, M. M., Saulnier, C. A., Walker, E. F., White, S. P., & Mullé, J. G. (2022) · Molecular Autism · doi:10.1186/s13229-022-00533-2 · Cited by 3
The rate of de novo CNVs in healthy controlsPreprint
Barone, J., Smith, M. W., Kendall, K. M., Owen, M. J., O’Donovan, M. C., & Kirov, G. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/857797 · Cited by 2
Self-citationLengyel, A., Pinti, É., Pikó, H., Árvai, K., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Research Square · doi:10.21203/rs.3.rs-1362475/v1 · Cited by 2
Han, C., Zhang, Y., Xue, J., Liu, Y., An, Y., & Li, H. (2025) · Journal of Translational Genetics and Genomics · doi:10.20517/jtgg.2025.15 · Cited by 1
Fitzgerald, J., Molloy, C. J., Dinneen, T. J., Feerick, N., O’Sullivan, M., O’Conaill, R., Al-Shehhi, M., Reilly, R. B., Lynch, S. A., Heron, E. A., et al. (2025) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-025-09625-5 · Cited by 1
Artaza, H., Lavrichenko, K., Wolff, A. S. B., Røyrvik, E. C., Vaudel, M., & Johansson, S. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05979-0 · Cited by 1
Dennison, C. A., Flanagan, M., Shakeshaft, A., Tilling, K., Riglin, L., & Thapar, A. (2026) · BJPsych Open · doi:10.1192/bjo.2026.11018 · Cited by 1
Zanon, M., Brennan, C. H., Petrazzini, M. E. M., & Torres-Pérez, J. V. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70506 · Cited by 1
Escott‐Price, V. (2019) · V M BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY · doi:10.31363/2313-7053-2019-4-1-8-11 · Cited by 1
Self-citationCaseras, X., Legge, S. E., Bracher‐Smith, M., Anney, R., Owen, M. J., Escott‐Price, V., & Kirov, G. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2022.10.006 · Cited by 1
Self-citationBrain Structural Covariances in the Ageing Brain in the UK Biobank
Dong, C., Thalamuthu, A., Jiang, J., Mather, K. A., Sachdev, P. S., & Wen, W. X. (2022) · Brain Structure and Function · doi:10.1007/s00429-024-02794-4 · Cited by 1
Pollak, R. M., Sefik, E., Aberizk, K., Duan, K., España, R., Guest, R. M., Goldman-Yassen, A. E., Goines, K., Novacek, D. M., Saulnier, C. A., et al. (2024) · Psychological Medicine · doi:10.1017/s0033291724002320 · Cited by 2
Silva, A. I., Sønderby, I. E., Kirov, G., Abdellaoui, A., Agartz, I., Ames, D. J., Armstrong, N. J., Artiges, É., Banaschewski, T., Bassett, A. S., et al. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.05.010 · Cited by 1
Self-citationA review on the relationship between the distal 1q21.1 microdeletion and schizophrenia
Guo, X., Guo, J., Liu, X., & Hu, T. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1612654 · Cited by 1
Corvin, A. P., Ormond, C., & Cole, A. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813176-3.00015-8 · Cited by 1
Molecular genetic management of epilepsy
Lewis‐Smith, D., Craig, D. P., Thomas, N., Hamandi, K., & Thomas, R. H. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809356-6.00016-2 · Cited by 1
Self-citationEstimating the effects of copy‐number variants on intelligence using hierarchical Bayesian models
Jiang, L., Huguet, G., Schramm, C., Ciampi, A., Main, A., Passo, C., Jean‐Louis, M., Auger, M., Schumann, G., Porteous, D. J., et al. (2020) · Genetic Epidemiology · doi:10.1002/gepi.22344 · Cited by 1
A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanağası, H. A., Lohmann, E., Samancı, B., Gurvit, H. I., Bılgıç, B., et al. (2021) · Human Genomics · doi:10.1186/s40246-021-00346-z · Cited by 1
Lengyel, A., Pinti, É., Pikó, H., Árvai, K., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Research Square · doi:10.21203/rs.3.rs-1362475/v2 · Cited by 1
Molecular pathology in neuropsychiatric disorders
Kirov, G., & Rees, E. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809356-6.00028-9
Self-citationStructural variants in the great tit genome and their effect on seasonal timing
da Silva, V. H. (2020) · doi:10.18174/512907
Ryan, N., Ormond, C., Brady, P., Heron, E. A., & Corvin, A. P. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-819602-1.00002-4
Shavitt, R. G. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736749666.793580423
Chawner, S. J. R. A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1627378
Pelgrims, E., Hannes, L., Noens, I. L. J., Peeters, Y., Peeters, H., Fiksinski, A., Heung, T., Bassett, A. S., Breckpot, J., & Swillen, A. (2025) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-025-09644-2
Additional file 1 of Rare copy-number variants as modulators of common disease susceptibility
Auwerx, C., Jõeloo, M., Sadler, M. C., Tesio, N., Ojavee, S., Clark, C. J., Mägi, R., Reymond, A., & Kutalik, Z. (2024) · Figshare · doi:10.6084/m9.figshare.24955993
Additional file 5 of A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanagasi, H., Lohmann, E., Samancı, B., Gurvit, H. I., Bilgiç, B., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071686
Additional file 2 of A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanagasi, H., Lohmann, E., Samancı, B., Gurvit, H. I., Bilgiç, B., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071677
Additional file 1 of A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanagasi, H., Lohmann, E., Samancı, B., Gurvit, H. I., Bilgiç, B., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071674
Donnelly, N. A., Cunningham, A., Salas, S. M., Bracher‐Smith, M., Chawner, S. J. R. A., Štochl, J., Ford, T. J., Raymond, F. L., Escott‐Price, V., & van den Bree, M. B. M. (2024) · Figshare · doi:10.6084/m9.figshare.26591417
Self-citationLengyel, A., Pinti, É., Piko, H., Kristóf, Á., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Figshare · doi:10.6084/m9.figshare.21456149
Pollak, R. M., Pincus, J. E., Burrell, T. L., Cubells, J. F., Klaiman, C., Murphy, M. M., Saulnier, C. A., Walker, E. F., White, S. P., & Mulle, J. G. (2023) · Figshare · doi:10.6084/m9.figshare.22606553
Additional file 3 of Rare copy-number variants as modulators of common disease susceptibility
Auwerx, C., Jõeloo, M., Sadler, M. C., Tesio, N., Ojavee, S., Clark, C. J., Mägi, R., Reymond, A., & Kutalik, Z. (2024) · Figshare · doi:10.6084/m9.figshare.26664211
Lengyel, A., Pinti, É., Piko, H., Kristóf, Á., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Figshare · doi:10.6084/m9.figshare.21456158
Additional file 3 of A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanagasi, H., Lohmann, E., Samancı, B., Gurvit, H. I., Bilgiç, B., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071680
Lengyel, A., Pinti, É., Piko, H., Kristóf, Á., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Figshare · doi:10.6084/m9.figshare.21456161
Lengyel, A., Pinti, É., Piko, H., Kristóf, Á., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Figshare · doi:10.6084/m9.figshare.21456152
Additional file 4 of A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanagasi, H., Lohmann, E., Samancı, B., Gurvit, H. I., Bilgiç, B., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071683
Additional file 2 of Rare copy-number variants as modulators of common disease susceptibility
Auwerx, C., Jõeloo, M., Sadler, M. C., Tesio, N., Ojavee, S., Clark, C. J., Mägi, R., Reymond, A., & Kutalik, Z. (2024) · Figshare · doi:10.6084/m9.figshare.24956204
Lengyel, A., Pinti, É., Piko, H., Kristóf, Á., Abonyi, T., Némethi, Z., Fekete, G., & Haltrich, I. (2022) · Figshare · doi:10.6084/m9.figshare.21456146
Additional file 6 of A comprehensive analysis of copy number variation in a Turkish dementia cohort
Dehghani, N., Güven, G., Kun‐Rodrigues, C., Gouveia, C., Foster, K., Hanagasi, H., Lohmann, E., Samancı, B., Gurvit, H. I., Bilgiç, B., et al. (2021) · Figshare · doi:10.6084/m9.figshare.15071689
Yamauchi, T., Tamada, K., Takano, T., Nakamura, M., Silva, M. B. E., Ye, K. Q., Inada, H., Tanifuji, T., Hiramoto, T., Stevens, L. J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.17.700083
Snihirova, Y., Jacquemont, S., Blokland, G. A. M., Gülöksüz, S., van Amelsvoort, T., & Linden, D. E. J. (2026) · Research Square · doi:10.21203/rs.3.rs-8611446/v1
Hiroi, N., Yamauchi, T., Tamada, K., Takano, T., Nakamura, M., Silva, M. B. E., Ye, K. Q., Inada, H., Tanifuji, T., Hiramoto, T., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8552206/v1
Wakil, S. M., Morisaki, K., Shen, P., Sucich, D. G., Schwandt, M. L., Hejtmancik, J. F., Marietta, C. A., Yuan, Q., Diazgranados, N., Hodgkinson, C. A., et al. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05808-w
Danset-Alexandre, C. (2019) · theses.fr (ABES) · doi:10.70675/520525c0z63aaz4b1ez930cz9bda2d886a0f
Multi-omic molecular signatures from peripheral blood samples of patients with mood disorders
Mokhtari, A. (2022) · theses.fr (ABES) · doi:10.70675/6e6b049ez0ae2z40f2za015z47c5c58102d3
Pollak, R. M., Harner, M., Bishop, D., Purcell, J., Irving, T., Sefik, E., Klaiman, C., Saulnier, C. A., Pulver, S. L., Walker, E., et al. (2026) · Journal of Intellectual Disability Research · doi:10.1111/jir.70116 · Cited by 1
Wang, H., & Zhang, K. (2026) · Twin Research and Human Genetics · doi:10.1017/thg.2026.10069
Haddon, J. E., Hall, J. H., ID, I., Hall, J., Owen, M. J., & van den Bree, M. B. M. (2026) · medRxiv · doi:10.64898/2026.05.10.26352561
Self-citation
Metadata
- Authors
- Kendall, K. M., Rees, E., Escott-Price, V., Einon, M., Thomas, R., Hewitt, J., O’Donovan, M. C., Owen, M. J., Walters, J. T. R., & Kirov, G.
- Affiliations
- Cardiff University (GB)
- University Hospital Llandough (GB)
- Corresponding author
- Kirov, George
- ORCID
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 82
- Issue
- 2
- Pages
- 103-110
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2513914028
- Cited by
- 226
- References
- 32
- Citations by year
- 2026: 18 · 2025: 14 · 2024: 23 · 2023: 29 · 2022: 36 · 2021: 30 · 2020: 18 · 2019: 31 · 2018: 19 · 2017: 8
- FWCI
- 15.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion, cc-by-nc-nd)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Wellcome Trust (201171/Z/16/Z)
- Cardiff University (MR/L010305/1, G0800509)
- Medical Research Council (MR/L023784/2, MR/P005748/1, MR/L010305/1, G0800509, MR/L023784/1, No. MR/L010305/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- copy number variation, neurodevelopmental disorders, cognitive performance, schizophrenia, educational attainment, occupational attainment, UK Biobank, cognitive impairment
- MeSH terms
- Adult, Aged, Female, United Kingdom, Humans, Male, Middle Aged, Neuropsychological Tests, Schizophrenia, Biological Specimen Banks, DNA Copy Number Variations, Cognitive Dysfunction, Neurodevelopmental Disorders
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.
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