1
|
Al-Beltagi M, Saeed NK, Bediwy AS, Bediwy EA, Elbeltagi R. Decoding the genetic landscape of autism: A comprehensive review. World J Clin Pediatr 2024; 13:98468. [PMID: 39350903 PMCID: PMC11438927 DOI: 10.5409/wjcp.v13.i3.98468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 07/29/2024] [Accepted: 08/01/2024] [Indexed: 08/30/2024] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by heterogeneous symptoms and genetic underpinnings. Recent advancements in genetic and epigenetic research have provided insights into the intricate mechanisms contributing to ASD, influencing both diagnosis and therapeutic strategies. AIM To explore the genetic architecture of ASD, elucidate mechanistic insights into genetic mutations, and examine gene-environment interactions. METHODS A comprehensive systematic review was conducted, integrating findings from studies on genetic variations, epigenetic mechanisms (such as DNA methylation and histone modifications), and emerging technologies [including Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 and single-cell RNA sequencing]. Relevant articles were identified through systematic searches of databases such as PubMed and Google Scholar. RESULTS Genetic studies have identified numerous risk genes and mutations associated with ASD, yet many cases remain unexplained by known factors, suggesting undiscovered genetic components. Mechanistic insights into how these genetic mutations impact neural development and brain connectivity are still evolving. Epigenetic modifications, particularly DNA methylation and non-coding RNAs, also play significant roles in ASD pathogenesis. Emerging technologies like CRISPR-Cas9 and advanced bioinformatics are advancing our understanding by enabling precise genetic editing and analysis of complex genomic data. CONCLUSION Continued research into the genetic and epigenetic underpinnings of ASD is crucial for developing personalized and effective treatments. Collaborative efforts integrating multidisciplinary expertise and international collaborations are essential to address the complexity of ASD and translate genetic discoveries into clinical practice. Addressing unresolved questions and ethical considerations surrounding genetic research will pave the way for improved diagnostic tools and targeted therapies, ultimately enhancing outcomes for individuals affected by ASD.
Collapse
Affiliation(s)
- Mohammed Al-Beltagi
- Department of Pediatric, Faculty of Medicine, Tanta University, Alghrabia, Tanta 31511, Egypt
- Department of Pediatric, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Manama 26671, Bahrain
| | - Nermin Kamal Saeed
- Medical Microbiology Section, Department of Pathology, Salmaniya Medical Complex, Ministry of Health, Kingdom of Bahrain, Manama 12, Bahrain
- Medical Microbiology Section, Department of Pathology, Irish Royal College of Surgeon, Muharraq, Busaiteen 15503, Bahrain
| | - Adel Salah Bediwy
- Department of Pulmonology, Faculty of Medicine, Tanta University, Alghrabia, Tanta 31527, Egypt
- Department of Pulmonology, University Medical Center, King Abdulla Medical City, Arabian Gulf University, Manama 26671, Bahrain
| | - Eman A Bediwy
- Internal Medicine, Faculty of Medicine, Tanta University, Algharbia, Tanta 31527, Egypt
| | - Reem Elbeltagi
- Department of Medicine, The Royal College of Surgeons in Ireland-Bahrain, Muharraq, Busiateen 15503, Bahrain
| |
Collapse
|
2
|
Juarez EF, Peterson B, Kobayashi ES, Gilmer S, Tobin LE, Schultz B, Lenberg J, Carroll J, Bai-Tong S, Sweeney NM, Beebe C, Stewart L, Olsen L, Reinke J, Kiernan EA, Reimers R, Wigby K, Tackaberry C, Yandell M, Hobbs C, Bainbridge MN. A Machine Learning Decision Support Tool Optimizes Whole Genome Sequencing Utilization in a Neonatal Intensive Care Unit. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.05.24310008. [PMID: 39006422 PMCID: PMC11245077 DOI: 10.1101/2024.07.05.24310008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the Neonatal Intensive Care Unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.
Collapse
|
3
|
Naderi E, Schack LMH, Welsh C, Sim AYL, Aguado-Barrera ME, Dudding T, Summersgil H, Martínez-Calvo L, Ong EHW, Odding Y, Varela-Pazos A, Steenbakkers RJHM, Crijns APG, Jena R, Pring M, Dennis J, Lobato-Busto R, Alsner J, Ness A, Nutting C, Thomson DJ, Gómez-Caamaño A, Eriksen JG, Thomas SJ, Bates AM, Overgaard J, Cascallar-Caneda LM, Duprez F, Barnett GC, Dorling L, Chua MLK, Vega A, West CML, Langendijk JA, Nicolaj Andreassen C, Alizadeh BZ. Meta-GWAS identifies the heritability of acute radiation-induced toxicities in head and neck cancer. Radiother Oncol 2022; 176:138-148. [PMID: 36191651 DOI: 10.1016/j.radonc.2022.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE We aimed to the genetic components and susceptibility variants associated with acute radiation-induced toxicities (RITs) in patients with head and neck cancer (HNC). MATERIALS AND METHODS We performed the largest meta-GWAS of seven European cohorts (n = 4,042). Patients were scored weekly during radiotherapy for acute RITs including dysphagia, mucositis, and xerostomia. We analyzed the effect of variants on the average burden (measured as area under curve, AUC) per each RIT, and standardized total average acute toxicity (STATacute) score using a multivariate linear regression. We tested suggestive variants (p < 1.0x10-5) in discovery set (three cohorts; n = 2,640) in a replication set (four cohorts; n = 1,402). We meta-analysed all cohorts to calculate RITs specific SNP-based heritability, and effect of polygenic risk scores (PRSs), and genetic correlations among RITS. RESULTS From 393 suggestive SNPs identified in discovery set; 37 were nominally significant (preplication < 0.05) in replication set, but none reached genome-wide significance (pcombined < 5 × 10-8). In-silico functional analyses identified "3'-5'-exoribonuclease activity" (FDR = 1.6e-10) for dysphagia, "inositol phosphate-mediated signalling" for mucositis (FDR = 2.20e-09), and "drug catabolic process" for STATacute (FDR = 3.57e-12) as the most enriched pathways by the RIT specific suggestive genes. The SNP-based heritability (±standard error) was 29 ± 0.08 % for dysphagia, 9 ± 0.12 % (mucositis) and 27 ± 0.09 % (STATacute). Positive genetic correlation was rg = 0.65 (p = 0.048) between dysphagia and STATacute. PRSs explained limited variation of dysphagia (3 %), mucositis (2.5 %), and STATacute (0.4 %). CONCLUSION In HNC patients, acute RITs are modestly heritable, sharing 10 % genetic susceptibility, when PRS explains < 3 % of their variance. We identified numerus suggestive SNPs, which remain to be replicated in larger studies.
Collapse
Affiliation(s)
- Elnaz Naderi
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands; Department of Epidemiology, University Medical Center Groningen, Groningen, the Netherlands.
| | - Line M H Schack
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark; Department of Oncology, Regional Hospital West Jutland, Gødstrup, Denmark
| | - Ceilidh Welsh
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Adelene Y L Sim
- Division of Radiation Oncology, Dept of Head and Neck and Thoracic Cancers, Duke-NUS Medical School, Singapore, Singapore; Division of Medical Sciences, National Cancer Centre, Singapore
| | - Miguel E Aguado-Barrera
- Fundación Pública Galega Medicina Xenómica (FPGMX), Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Tom Dudding
- Bristol Dental School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Holly Summersgil
- Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - Laura Martínez-Calvo
- Fundación Pública Galega Medicina Xenómica (FPGMX), Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Enya H W Ong
- Division of Medical Sciences, National Cancer Centre, Singapore
| | - Yasmin Odding
- University Hospitals Bristol and Weston, Bristol, UK
| | - Ana Varela-Pazos
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Roel J H M Steenbakkers
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands
| | - Anne P G Crijns
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands
| | - Rajesh Jena
- Department of Oncology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Miranda Pring
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Ramón Lobato-Busto
- Department of Medical Physics, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Jan Alsner
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Andy Ness
- Bristol Dental School, University of Bristol, Bristol, UK
| | | | - David J Thomson
- Christie Hospital NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Antonio Gómez-Caamaño
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain; Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Jesper G Eriksen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Steve J Thomas
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Amy M Bates
- Department of Oncology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Luis M Cascallar-Caneda
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Fréderic Duprez
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium; Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Gillian C Barnett
- Department of Oncology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Melvin L K Chua
- Division of Radiation Oncology, Dept of Head and Neck and Thoracic Cancers, Duke-NUS Medical School, Singapore, Singapore; Division of Radiation Oncology, National Cancer Centre, Singapore
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica (FPGMX), Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Catharine M L West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust Hospital, Manchester, UK
| | - Johannes A Langendijk
- Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands
| | - Christian Nicolaj Andreassen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University Medical Center Groningen, Groningen, the Netherlands.
| |
Collapse
|
4
|
Li J, Chaudhary D, Griessenauer CJ, Carey DJ, Zand R, Abedi V. Predicting mortality among ischemic stroke patients using pathways-derived polygenic risk scores. Sci Rep 2022; 12:12358. [PMID: 35853973 PMCID: PMC9296485 DOI: 10.1038/s41598-022-16510-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/11/2022] [Indexed: 12/19/2022] Open
Abstract
We aim to determine whether ischemic stroke(IS)-related PRSs are also associated with and further predict 3-year all-cause mortality. 1756 IS patients with European ancestry were randomly split into training (n = 1226) and testing (n = 530) groups with 3-year post-event observations. Univariate Cox proportional hazards regression model (CoxPH) was used for primary screening of individual prognostic PRSs. Only the significantly associated PRSs and clinical risk factors with the same direction for a causal relationship with IS were used to construct a multivariate CoxPH. Feature selection was conducted by the LASSO method. After feature selection, a prediction model with 11 disease-associated pathway-specific PRSs outperformed the base model, as demonstrated by a higher concordance index (0.751, 95%CI [0.693–0.809] versus 0.729, 95%CI [0.676–0.782]) in the testing sample. A PRS derived from endothelial cell apoptosis showed independent predictability in the multivariate CoxPH (Hazard Ratio = 1.193 [1.027–1.385], p = 0.021). These PRSs fine-tuned the model by better stratifying high, intermediate, and low-risk groups. Several pathway-specific PRSs were associated with clinical risk factors in an age-dependent manner and further confirmed some known etiologies of IS and all-cause mortality. In conclusion, Pathway-specific PRSs for IS are associated with all-cause mortality, and the integrated multivariate risk model provides prognostic value in this context.
Collapse
Affiliation(s)
- Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA, 17822, USA
| | - Durgesh Chaudhary
- Neuroscience Institute, Geisinger Health System, Danville, PA, 17822, USA
| | - Christoph J Griessenauer
- Neuroscience Institute, Geisinger Health System, Danville, PA, 17822, USA.,Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - David J Carey
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA, 17822, USA
| | - Ramin Zand
- Neuroscience Institute, Geisinger Health System, Danville, PA, 17822, USA.
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA, 17822, USA. .,Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA, USA.
| |
Collapse
|
5
|
Leifler E, Coco C, Fridell A, Borg A, Bölte S. Social Skills Group Training for Students with Neurodevelopmental Disabilities in Senior High School-A Qualitative Multi-Perspective Study of Social Validity. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031487. [PMID: 35162512 PMCID: PMC8835167 DOI: 10.3390/ijerph19031487] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 02/04/2023]
Abstract
Including students with neurodevelopmental disabilities (NDDs) in regular classrooms has become a law-enforced common practice in many high- and middle-income countries. Still, without appropriate actions supporting the implementation of inclusive pedagogical practice, students with NDDs remain at increased risk for absenteeism, bullying and underachievement. There is limited knowledge on the feasibility of social skills group training (SSGT) in naturalistic settings. Using a qualitative approach, the objective of this study was to explore the lived experiences of (i) students diagnosed with autism or attention-deficit hyperactivity disorder and those showing subclinical social difficulties receiving either SSGT or active social control activities in a regular senior high school setting, (ii) teachers providing SSGT or the active control activity and (iii) school leaders facilitating the implementation of these actions. Due to the impact of the COVID-19 pandemic, comparison between real life versus digital administration of SSGT was also examined. Within a randomized controlled pilot trial of the school-tailored SSGT SKOLKONTAKT®, the primary perspectives of 20 students, teachers and school leaders on SSGT or the social control activities were explored. All groups perceived SSGT to enhance school attendance and academic achievement of students, as well as teacher inclusion skills and the social school climate. Findings indicate that SSGT is largely feasible and socially valid, and broader implementation of SSGT in school settings appears meaningful.
Collapse
Affiliation(s)
- Emma Leifler
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women’s and Children’s Health, Karolinska Institutet, 113 30 Stockholm, Sweden; (C.C.); (A.F.); (A.B.)
- Stockholm Health Care Services, Region Stockholm, 171 77 Stockholm, Sweden
- Department of Pedagogical, Curricular and Professional Studies, University of Gothenburg, 405 30 Gothenburg, Sweden
- Correspondence: (E.L.); (S.B.)
| | - Christina Coco
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women’s and Children’s Health, Karolinska Institutet, 113 30 Stockholm, Sweden; (C.C.); (A.F.); (A.B.)
- Stockholm Health Care Services, Region Stockholm, 171 77 Stockholm, Sweden
| | - Anna Fridell
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women’s and Children’s Health, Karolinska Institutet, 113 30 Stockholm, Sweden; (C.C.); (A.F.); (A.B.)
- Stockholm Health Care Services, Region Stockholm, 171 77 Stockholm, Sweden
| | - Anna Borg
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women’s and Children’s Health, Karolinska Institutet, 113 30 Stockholm, Sweden; (C.C.); (A.F.); (A.B.)
- Stockholm Health Care Services, Region Stockholm, 171 77 Stockholm, Sweden
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women’s and Children’s Health, Karolinska Institutet, 113 30 Stockholm, Sweden; (C.C.); (A.F.); (A.B.)
- Stockholm Health Care Services, Region Stockholm, 171 77 Stockholm, Sweden
- Child and Adolescent Psychiatry, Stockholm Health Services, Region Stockholm, 171 77 Stockholm, Sweden
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA 6102, Australia
- Correspondence: (E.L.); (S.B.)
| |
Collapse
|
6
|
Li D, Choque Olsson N, Becker M, Arora A, Jiao H, Norgren N, Jonsson U, Bölte S, Tammimies K. Rare variants in the outcome of social skills group training for autism. Autism Res 2021; 15:434-446. [PMID: 34968013 DOI: 10.1002/aur.2666] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 12/06/2021] [Accepted: 12/14/2021] [Indexed: 12/30/2022]
Abstract
Exome sequencing has been proposed as the first-tier genetic testing in autism spectrum disorder (ASD). Here, we performed exome sequencing in autistic individuals with average to high intellectual abilities (N = 207) to identify molecular diagnoses and genetic modifiers of intervention outcomes of social skills group training (SSGT) or standard care. We prioritized variants of clinical significance (VCS), variants of uncertain significance (VUS) and generated a pilot scheme to calculate genetic scores of rare and common variants in ASD-related gene pathways. Mixed linear models were used to test the association between the carrier status of VCS/VUS or the genetic scores with intervention outcomes measured by the social responsiveness scale. Additionally, we combined behavioral and genetic features using a machine learning (ML) model to predict the individual response. We showed a rate of 4.4% and 11.3% of VCS and VUS in the cohort, respectively. Individuals with VCS or VUS had improved significantly less after standard care than non-carriers at post-intervention (β = 9.35; p = 0.036), while no such association was observed for SSGT (β = -2.50; p = 0.65). Higher rare variant genetic scores for synaptic transmission and regulation of transcription from RNA polymerase II were separately associated with less beneficial (β = 8.30, p = 0.0044) or more beneficial (β = -6.79, p = 0.014) effects after SSGT compared with standard care at follow-up, respectively. Our ML model showed the importance of rare variants for outcome prediction. Further studies are needed to understand genetic predisposition to intervention outcomes in ASD.
Collapse
Affiliation(s)
- Danyang Li
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Region Stockholm, Solna, Sweden
| | - Nora Choque Olsson
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Department of Psychology, Stockholm University, Stockholm, Sweden.,Center for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Martin Becker
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Region Stockholm, Solna, Sweden
| | - Abishek Arora
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Region Stockholm, Solna, Sweden
| | - Hong Jiao
- Department of Biosciences and Nutrition, Karolinska Institutet, and Clinical Research Centre, Karolinska University Hospital, Huddinge, Sweden
| | - Nina Norgren
- Department of Molecular Biology, National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Umeå University, Umeå, Sweden
| | - Ulf Jonsson
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Department of Neuroscience, Child and Adolescent Psychiatry, Uppsala University, Uppsala, Sweden
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, Western Australia
| | - Kristiina Tammimies
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Region Stockholm, Solna, Sweden
| |
Collapse
|
7
|
Influence of polygenic risk scores for schizophrenia and resilience on the cognition of individuals at-risk for psychosis. Transl Psychiatry 2021; 11:518. [PMID: 34628483 PMCID: PMC8502171 DOI: 10.1038/s41398-021-01624-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/25/2021] [Accepted: 09/09/2021] [Indexed: 12/13/2022] Open
Abstract
Cognitive impairment is a core feature of schizophrenia which precedes the onset of full psychotic symptoms, even in the ultra-high-risk stage (UHR). Polygenic risk scores (PRS) can be computed for many psychiatric disorders and phenotyping traits, including scores for resilience. We explored the correlations between several PRS and neurocognition in UHR individuals. We included 107 UHR individuals; 29.9% of them converted to psychosis (UHR-C) while 57.0% did not (UHR-NC) during the 1-year follow-up. Cognitive performances were assessed with the Wechsler Adult Intelligence Scale estimating the Intelligence Quotient (IQ), the Trail Making Test, the verbal fluency, the Stroop test, and the Wisconsin card sorting test. Linear regression models were used to test their association with the PRS for schizophrenia, bipolar disorder, major depression, ADHD, cross-disorders, cognitive performance, intelligence, education attainment, and resilience to schizophrenia. UHR-C had a lower IQ than UHR-NC. The PRS for schizophrenia negatively correlated with IQ, while the PRS for cognitive performance and for resilience positively correlated with IQ. PRS for schizophrenia showed a significant correlation with working memory and processing speed indices. PRS for schizophrenia showed a higher effect on IQ in UHR-NC, and UHR-NC with high PRS for schizophrenia had a similar IQ as UHR-C. Conversely, UHR-C with a high PRS for resilience performed as well as UHR-NC. Our findings suggest that cognitive deficits may predate the onset of psychosis. The genetic architecture of schizophrenia seems to impacts the cognition in UHR-NC. Cognition is also mediated by PRS for resilience.
Collapse
|