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Ribasés M, Mitjans M, Hartman CA, Soler Artigas M, Demontis D, Larsson H, Ramos-Quiroga JA, Kuntsi J, Faraone SV, Børglum AD, Reif A, Franke B, Cormand B. Genetic architecture of ADHD and overlap with other psychiatric disorders and cognition-related phenotypes. Neurosci Biobehav Rev 2023; 153:105313. [PMID: 37451654 PMCID: PMC10789879 DOI: 10.1016/j.neubiorev.2023.105313] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/30/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) co-occurs with many other psychiatric disorders and traits. In this review, we summarize and interpret the existing literature on the genetic architecture of these comorbidities based on hypothesis-generating approaches. Quantitative genetic studies indicate that genetic factors play a substantial role in the observed co-occurrence of ADHD with many different disorders and traits. Molecular genetic correlations derived from genome-wide association studies and results of studies based on polygenic risk scores confirm the general pattern but provide effect estimates that are smaller than those from twin studies. The identification of the specific genetic variants and biological pathways underlying co-occurrence using genome-wide approaches is still in its infancy. The first analyses of causal inference using genetic data support causal relationships between ADHD and comorbid disorders, although bidirectional effects identified in some instances point to complex relationships. While several issues in the methodology and inferences from the results are still to be overcome, this review shows that the co-occurrence of ADHD with many psychiatric disorders and traits is genetically interpretable.
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Affiliation(s)
- M Ribasés
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - M Mitjans
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain
| | - C A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Soler Artigas
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - D Demontis
- Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark; The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - H Larsson
- School of Medical Sciences, Örebro University, Örebro, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - J A Ramos-Quiroga
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - J Kuntsi
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - S V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - A D Børglum
- Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - B Franke
- Departments of Cognitive Neuroscience and Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - B Cormand
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), Instituto de Salud Carlos III, Madrid, Spain.
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Kranz TM, Grimm O. Update on genetics of attention deficit/hyperactivity disorder: current status 2023. Curr Opin Psychiatry 2023; 36:257-262. [PMID: 36728054 DOI: 10.1097/yco.0000000000000852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE OF REVIEW Attention deficit/hyperactivity disorder (ADHD) shows consistently high heritability in genetic research. In this review article, we give an overview of the analysis of common and rare variants and some insight into current genetic methodology and their link to clinical practice. RECENT FINDINGS The heritability of about 80% is also high in comparison to other psychiatric diseases. However, recent studies estimate the proportion of heritability based on single nucleotide variants at 22%. The hidden heritability is an ongoing question in ADHD genetics. Common variants derived from mega genome-wide association analyses (GWAS) and subsequent meta-analyses usually display small effect sizes and explain only a small fraction of phenotypic variance. Rare variants, on the contrary, not only display large effect sizes but also rather explain, due to their rareness, a small fraction on phenotypic variance. Applying polygenic risk score (PRS) analysis is an improved approach of combining effect sizes of many common variants with clinically relevant measures in ADHD. SUMMARY We provide a concise overview on how genetic analysis, with a focus on GWAS and PRS, can help explain different behavioural phenotypes in ADHD and how they can be used for diagnosis and therapy prediction. Increased sample sizes of GWAS, meta-analyses and use of PRS is increasingly informative and sets the course for a new era in genetics of ADHD.
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Affiliation(s)
- Thorsten M Kranz
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
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Zhou A, Cao X, Mahaganapathy V, Azaro M, Gwin C, Wilson S, Buyske S, Bartlett CW, Flax JF, Brzustowicz LM, Xing J. Common genetic risk factors in ASD and ADHD co-occurring families. Hum Genet 2023; 142:217-230. [PMID: 36251081 PMCID: PMC10177627 DOI: 10.1007/s00439-022-02496-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/10/2022] [Indexed: 12/01/2022]
Abstract
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two major neurodevelopmental disorders that frequently co-occur. However, the genetic mechanism of the co-occurrence remains unclear. The New Jersey Language and Autism Genetics Study (NJLAGS) collected more than 100 families with at least one member affected by ASD. NJLAGS families show a high prevalence of ADHD and provide a good opportunity to study shared genetic risk factors for ASD and ADHD. The linkage study of the NJLAGS families revealed regions on chromosomes 12 and 17 that are significantly associated with ADHD. Using whole-genome sequencing data on 272 samples from 73 NJLAGS families, we identified potential risk genes for ASD and ADHD. Within the linkage regions, we identified 36 genes that are associated with ADHD using a pedigree-based gene prioritization approach. KDM6B (Lysine Demethylase 6B) is the highest-ranking gene, which is a known risk gene for neurodevelopmental disorders, including ASD and ADHD. At the whole-genome level, we identified 207 candidate genes from the analysis of both small variants and structure variants, including both known and novel genes. Using enrichment and protein-protein interaction network analyses, we identified gene ontology terms and pathways enriched for ASD and ADHD candidate genes, such as cilia function and cation channel activity. Candidate genes and pathways identified in our study improve the understanding of the genetic etiology of ASD and ADHD and will lead to new diagnostic or therapeutic interventions for ASD and ADHD in the future.
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Affiliation(s)
- Anbo Zhou
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Xiaolong Cao
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | | | - Marco Azaro
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christine Gwin
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Sherri Wilson
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Steven Buyske
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Christopher W Bartlett
- The Steve Cindy Rasmussen Institute for Genomic Medicine, Battelle Center for Computational Biology, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.,Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Judy F Flax
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Linda M Brzustowicz
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA
| | - Jinchuan Xing
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. .,The Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, NJ, 08854, USA.
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Takamatsu G, Yanagi K, Koganebuchi K, Yoshida F, Lee JS, Toyama K, Hattori K, Katagiri C, Kondo T, Kunugi H, Kimura R, Kaname T, Matsushita M. Haplotype phasing of a bipolar disorder pedigree revealed rare multiple mutations of SPOCD1 gene in the 1p36-35 susceptibility locus. J Affect Disord 2022; 310:96-105. [PMID: 35504398 DOI: 10.1016/j.jad.2022.04.150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 04/12/2022] [Accepted: 04/26/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND The etiology of bipolar disorder (BD) is poorly understood. Considering the complexity of BD, pedigree-based sequencing studies focusing on haplotypes at specific loci may be practical to discover high-impact risk variants. This study comprehensively examined the haplotype sequence at 1p36-35 BD and recurrent depressive disorder (RDD) susceptibility loci. METHODS We surveyed BD families in Okinawa, Japan. We performed linkage analysis and determined the phased sequence of the affected haplotype using whole genome sequencing. We filtered rare missense variants on the haplotype. For validation, we conducted a case-control genetic association study on approximately 3000 Japanese subjects. RESULTS We identified a three-generation multiplex pedigree with BD and RDD. Strikingly, we identified a significant linkage with mood disorders (logarithm of odds [LOD] = 3.61) at 1p36-35, supported in other ancestry studies. Finally, we determined the entire sequence of the 6.4-Mb haplotype shared by all affected subjects. Moreover, we found a rare triplet of missense variants in the SPOCD1 gene on the haplotype. Notably, despite the rare frequency, one heterozygote with multiple SPOCD1 variants was identified in an independent set of 88 BD type I genotyping samples. LIMITATIONS The 1p36-35 sequence was obtained from only a single pedigree. The replicate sample was small. Short-read sequencing might miss structural variants. A polygenic risk score was not analyzed. CONCLUSION The 1p36-35 haplotype sequence may be valuable for future BD variant studies. In particular, SPOCD1 is a promising candidate gene and should be validated.
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Affiliation(s)
- Gakuya Takamatsu
- Department of Molecular and Cellular Physiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Kumiko Yanagi
- Department of Genome Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Kae Koganebuchi
- Advanced Medical Research Center, Faculty of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Fuyuko Yoshida
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Jun-Seok Lee
- Department of Molecular and Cellular Physiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Advanced Medical Research Center, Faculty of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Kanako Toyama
- Department of Molecular and Cellular Physiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Kotaro Hattori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Bioresources, Medical Genome Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Chiaki Katagiri
- Department of Molecular and Cellular Physiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan; Department of Synbiotics, Institute for Genetic Medicine, Hokkaido University, Hokkaido, Japan
| | - Tsuyoshi Kondo
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Psychiatry, Teikyo University School of Medicine, Tokyo, Japan
| | - Ryosuke Kimura
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tadashi Kaname
- Department of Genome Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Masayuki Matsushita
- Department of Molecular and Cellular Physiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
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Is genetic risk of ADHD mediated via dopaminergic mechanism? A study of functional connectivity in ADHD and pharmacologically challenged healthy volunteers with a genetic risk profile. Transl Psychiatry 2022; 12:264. [PMID: 35768414 PMCID: PMC9243079 DOI: 10.1038/s41398-022-02003-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 05/23/2022] [Accepted: 05/26/2022] [Indexed: 11/09/2022] Open
Abstract
Recent GWAS allow us to calculate polygenic risk scores for ADHD. At the imaging level, resting-state fMRI analyses have given us valuable insights into changes in connectivity patterns in ADHD patients. However, no study has yet attempted to combine these two different levels of investigation. For this endeavor, we used a dopaminergic challenge fMRI study (L-DOPA) in healthy participants who were genotyped for their ADHD, MDD, schizophrenia, and body height polygenic risk score (PRS) and compared results with a study comparing ADHD patients and healthy controls. Our objective was to evaluate how L-DOPA-induced changes of reward-system-related FC are dependent on the individual polygenic risk score. FMRI imaging was used to evaluate resting-state functional connectivity (FC) of targeted subcortical structures in 27 ADHD patients and matched controls. In a second study, we evaluated the effect of ADHD and non-ADHD PRS in a L-DOPA-based pharmaco-fMRI-challenge in 34 healthy volunteers. The functional connectivity between the putamen and parietal lobe was decreased in ADHD patients. In healthy volunteers, the FC between putamen and parietal lobe was lower in ADHD high genetic risk participants. This direction of connectivity was reversed during L-DOPA challenge. Further findings are described for other dopaminergic subcortical structures. The FC between the putamen and the attention network showed the most consistent change in patients as well as in high-risk participants. Our results suggest that FC of the dorsal attention network is altered in adult ADHD as well as in healthy controls with higher genetic risk.
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Haavik J. Genome Guided Personalized Drug Therapy in Attention Deficit Hyperactivity Disorder. Front Psychiatry 2022; 13:925442. [PMID: 35832601 PMCID: PMC9271625 DOI: 10.3389/fpsyt.2022.925442] [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: 04/21/2022] [Accepted: 06/07/2022] [Indexed: 11/23/2022] Open
Abstract
ADHD is a common behavioral syndrome with a heritability of 70-80%. Genome wide sequencing and association studies indicate that ADHD risk variants are distributed across a wide range of allele frequencies and relative risks. Several common single nucleotide variants (SNPs) have been identified that increase the risk of ADHD with a few percent. Many of the reported risk genes and copy number variants are shared with other neuropsychiatric disorders. Moreover, ADHD often coexists with common or rare somatic diseases, including rare Mendelian neurometabolic diseases that can affect normal brain development and function. Some genetic/metabolic syndromes masquerading as common ADHD may lead to irreversible brain damage if not properly identified and treated during early childhood. As ADHD is such a heterogeneous condition in terms of severity, clinical features and most probably also underlying biology, it is crucial to offer individualized treatments. Recent progress in ADHD genetics is reviewed, prospects of using this information for targeted pharmacotherapy are discussed and critical knowledge gaps are identified. It is suggested that genome guided therapies could be introduced gradually, starting with rare ADHD syndromes with highly penetrant risk genes. Routine diagnostic application of whole exome or whole genome sequencing combined with metabolomic screening, and brain imaging may be needed in cases with suspected neurometabolic disorders. Identification and treatment of ADHD patients with defined neurometabolic aberrations could be a first step toward genome guided personalized treatment of ADHD. Possibly, screening for relevant biomarkers may gradually be implemented to guide treatment choices in larger patient groups.
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Affiliation(s)
- Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway.,Bergen Center of Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
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Fernàndez-Castillo N, Cabana-Domínguez J, Kappel DB, Torrico B, Weber H, Lesch KP, Lao O, Reif A, Cormand B. Exploring the Contribution to ADHD of Genes Involved in Mendelian Disorders Presenting with Hyperactivity and/or Inattention. Genes (Basel) 2021; 13:93. [PMID: 35052433 PMCID: PMC8775234 DOI: 10.3390/genes13010093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/16/2021] [Accepted: 12/18/2021] [Indexed: 12/26/2022] Open
Abstract
Attention-deficit hyperactivity disorder (ADHD) is a complex neurodevelopmental disorder characterized by hyperactivity, impulsivity, and/or inattention, which are symptoms also observed in many rare genetic disorders. We searched for genes involved in Mendelian disorders presenting with ADHD symptoms in the Online Mendelian Inheritance in Man (OMIM) database, to curate a list of new candidate risk genes for ADHD. We explored the enrichment of functions and pathways in this gene list, and tested whether rare or common variants in these genes are associated with ADHD or with its comorbidities. We identified 139 genes, causal for 137 rare disorders, mainly related to neurodevelopmental and brain function. Most of these Mendelian disorders also present with other psychiatric traits that are often comorbid with ADHD. Using whole exome sequencing (WES) data from 668 ADHD cases, we found rare variants associated with the dimension of the severity of inattention symptoms in three genes: KIF11, WAC, and CRBN. Then, we focused on common variants and identified six genes associated with ADHD (in 19,099 cases and 34,194 controls): MANBA, UQCC2, HIVEP2, FOPX1, KANSL1, and AUH. Furthermore, HIVEP2, FOXP1, and KANSL1 were nominally associated with autism spectrum disorder (ASD) (18,382 cases and 27,969 controls), as well as HIVEP2 with anxiety (7016 cases and 14,475 controls), and FOXP1 with aggression (18,988 individuals), which is in line with the symptomatology of the rare disorders they are responsible for. In conclusion, inspecting Mendelian disorders and the genes responsible for them constitutes a valuable approach for identifying new risk genes and the mechanisms of complex disorders.
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Affiliation(s)
- Noèlia Fernàndez-Castillo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain; (B.T.); (B.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu (IR-SJD), 08950 Esplugues de Llobregat, Spain
| | - Judit Cabana-Domínguez
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain; (B.T.); (B.C.)
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), 28029 Madrid, Spain
| | - Djenifer B. Kappel
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff CF10 3AT, UK;
| | - Bàrbara Torrico
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain; (B.T.); (B.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu (IR-SJD), 08950 Esplugues de Llobregat, Spain
| | - Heike Weber
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, 60590 Frankfurt, Germany; (H.W.); (A.R.)
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Würzburg, 97080 Wurzburg, Germany
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, 97080 Wurzburg, Germany;
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, 6221 LK Maastricht, The Netherlands
- Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, I.M Sechenov First Moscow State Medical University, 119435 Moscow, Russia
| | - Oscar Lao
- CNAG-CRG, Centre for Genomic Regulation (CRG), 08028 Barcelona, Spain;
- Barcelona Institute of Science and Technology (BIST), 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, 60590 Frankfurt, Germany; (H.W.); (A.R.)
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain; (B.T.); (B.C.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu (IR-SJD), 08950 Esplugues de Llobregat, Spain
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Yuxi Z, Jingke H, Changlin X, Zhangmiao L. Unfolding the synergy and interaction of water-land-food nexus for sustainable resource management: A supernetwork analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 784:147085. [PMID: 34088023 DOI: 10.1016/j.scitotenv.2021.147085] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/12/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
Given the large amounts of water, land, and food embodied in the trade of goods and services, a key step in decoupling extensive resource consumption from the economic system is to understand the full impact of socioeconomic development on the water-land-food nexus. This study integrates input-output analysis, ecological network analysis, and Dempster-Shafer evidence theory into a supernetwork model to detect the water-land-food nexus among economic sectors with an aim to explore effective strategic paths for resource management and to facilitate the construction of a resource-saving society. Results show that most sectors of China are resource inefficient and that all resource systems are unsustainable as reflected in the low performance of their Finn's cycling index and system robustness. Meanwhile, results of flow networks analysis show an extremely uneven land resource allocation where more than 94% of the land used in China is classified as direct agricultural land. The water-land-food nexus can gain resource saving bonus via enhancing the robustness of economy. However, the co-benefits from the nexus are negligibly small for the resource utilization efficiency. The results also indicate that the relevant resource-saving policies on food and water are highly likely to gain resource co-benefits due to their similarities in sectoral importance. Correspondingly, a set of strategic measures, including adopting a tiered resource price, deepening industrial convergence of agriculture, enhancing agriculture-food nexus, and managing water or land use from the food consumer side, are designed to build a resource-saving society. The findings of this study can provide additional insights into the impacts of the economy on the water-land-food nexus, which is beneficial for achieving an efficient and coordinated management of resources.
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Affiliation(s)
- Zheng Yuxi
- School of Management Sci & Real Estate, Chongqing University, Chongqing 400045, PR China
| | - Hong Jingke
- School of Management Sci & Real Estate, Chongqing University, Chongqing 400045, PR China.
| | - Xiao Changlin
- Artificial Intelligence and Earth Perception Research Center, School of Automation Engineering, University of Electronic Science and Technology, Chengdu 610054, PR China; Shenzhen Shiruikongjian Technologies Co., Ltd, Shenzhen 518101, PR China
| | - Li Zhangmiao
- Construction Science Technology Group Co., Ltd of China, Beijing 100013, PR China
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9
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Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family. Hum Genet 2021; 140:1183-1200. [PMID: 34076780 PMCID: PMC8263547 DOI: 10.1007/s00439-021-02289-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 04/27/2021] [Indexed: 12/11/2022]
Abstract
Dyslexia is a common heritable developmental disorder involving impaired reading abilities. Its genetic underpinnings are thought to be complex and heterogeneous, involving common and rare genetic variation. Multigenerational families segregating apparent monogenic forms of language-related disorders can provide useful entrypoints into biological pathways. In the present study, we performed a genome-wide linkage scan in a three-generational family in which dyslexia affects 14 of its 30 members and seems to be transmitted with an autosomal dominant pattern of inheritance. We identified a locus on chromosome 7q21.11 which cosegregated with dyslexia status, with the exception of two cases of phenocopy (LOD = 2.83). Whole-genome sequencing of key individuals enabled the assessment of coding and noncoding variation in the family. Two rare single-nucleotide variants (rs144517871 and rs143835534) within the first intron of the SEMA3C gene cosegregated with the 7q21.11 risk haplotype. In silico characterization of these two variants predicted effects on gene regulation, which we functionally validated for rs144517871 in human cell lines using luciferase reporter assays. SEMA3C encodes a secreted protein that acts as a guidance cue in several processes, including cortical neuronal migration and cellular polarization. We hypothesize that these intronic variants could have a cis-regulatory effect on SEMA3C expression, making a contribution to dyslexia susceptibility in this family.
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Toma C, Shaw AD, Heath A, Pierce KD, Mitchell PB, Schofield PR, Fullerton JM. A linkage and exome study of multiplex families with bipolar disorder implicates rare coding variants of ANK3 and additional rare alleles at 10q11-q21. J Psychiatry Neurosci 2021; 46:E247-E257. [PMID: 33729739 PMCID: PMC8061732 DOI: 10.1503/jpn.200083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Bipolar disorder is a highly heritable psychiatric condition for which specific genetic factors remain largely unknown. In the present study, we used combined whole-exome sequencing and linkage analysis to identify risk loci and dissect the contribution of common and rare variants in families with a high density of illness. METHODS Overall, 117 participants from 15 Australian extended families with bipolar disorder (72 with affective disorder, including 50 with bipolar disorder type I or II, 13 with schizoaffective disorder-manic type and 9 with recurrent unipolar disorder) underwent whole-exome sequencing. We performed genome-wide linkage analysis using MERLIN and conditional linkage analysis using LAMP. We assessed the contribution of potentially functional rare variants using a genebased segregation test. RESULTS We identified a significant linkage peak on chromosome 10q11-q21 (maximal single nucleotide polymorphism = rs10761725; exponential logarithm of the odds [LODexp] = 3.03; empirical p = 0.046). The linkage interval spanned 36 protein-coding genes, including a gene associated with bipolar disorder, ankyrin 3 (ANK3). Conditional linkage analysis showed that common ANK3 risk variants previously identified in genome-wide association studies - or variants in linkage disequilibrium with those variants - did not explain the linkage signal (rs10994397 LOD = 0.63; rs9804190 LOD = 0.04). A family-based segregation test with 34 rare variants from 14 genes under the linkage interval suggested rare variant contributions of 3 brain-expressed genes: NRBF2 (p = 0.005), PCDH15 (p = 0.002) and ANK3 (p = 0.014). LIMITATIONS We did not examine non-coding variants, but they may explain the remaining linkage signal. CONCLUSION Combining family-based linkage analysis with next-generation sequencing data is effective for identifying putative disease genes and specific risk variants in complex disorders. We identified rare missense variants in ANK3, PCDH15 and NRBF2 that could confer disease risk, providing valuable targets for functional characterization.
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Affiliation(s)
- Claudio Toma
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Alex D Shaw
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Anna Heath
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Kerrie D Pierce
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Philip B Mitchell
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Peter R Schofield
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
| | - Janice M Fullerton
- From Neuroscience Research Australia, Sydney, Australia (Toma, Shaw, Heath, Pierce, Schofield); the School of Medical Sciences, University of New South Wales, Sydney, Australia (Toma, Shaw, Schofield, Fullerton); the Centro de Biología Molecular 'Severo Ochoa', Universidad Autónoma de Madrid/CSIC, Madrid, Spain (Toma); the School of Psychiatry, University of New South Wales, Sydney, Australia (Mitchell); and the Black Dog Institute, Prince of Wales Hospital, Sydney, Australia (Mitchell)
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Al-Mubarak BR, Omar A, Baz B, Al-Abdulaziz B, Magrashi AI, Al-Yemni E, Jabaan A, Monies D, Abouelhoda M, Abebe D, Ghaziuddin M, Al-Tassan NA. Whole exome sequencing in ADHD trios from single and multi-incident families implicates new candidate genes and highlights polygenic transmission. Eur J Hum Genet 2020; 28:1098-1110. [PMID: 32238911 PMCID: PMC7382449 DOI: 10.1038/s41431-020-0619-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 02/26/2020] [Accepted: 03/10/2020] [Indexed: 12/18/2022] Open
Abstract
Several types of genetic alterations occurring at numerous loci have been described in attention deficit hyperactivity disorder (ADHD). However, the role of rare single nucleotide variants (SNVs) remains under investigated. Here, we sought to identify rare SNVs with predicted deleterious effect that may contribute to ADHD risk. We chose to study ADHD families (including multi-incident) from a population with a high rate of consanguinity in which genetic risk factors tend to accumulate and therefore increasing the chance of detecting risk alleles. We employed whole exome sequencing (WES) to interrogate the entire coding region of 16 trios with ADHD. We also performed enrichment analysis on our final list of genes to identify the overrepresented biological processes. A total of 32 rare variants with predicted damaging effect were identified in 31 genes. At least two variants were detected per proband, most of which were not exclusive to the affected individuals. In addition, the majority of our candidate genes have not been previously described in ADHD including five genes (NEK4, NLE1, PSRC1, PTP4A3, and TMEM183A) that were not previously described in any human condition. Moreover, enrichment analysis highlighted brain-relevant biological themes such as "Glutamatergic synapse", "Cytoskeleton organization", and "Ca2+ pathway". In conclusion, our findings are in keeping with prior studies demonstrating the highly challenging genetic architecture of ADHD involving low penetrance, variable expressivity and locus heterogeneity.
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Affiliation(s)
- Bashayer R Al-Mubarak
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
| | - Aisha Omar
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
| | - Batoul Baz
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Basma Al-Abdulaziz
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
- National center for genomics technology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Amna I Magrashi
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
| | - Eman Al-Yemni
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Amjad Jabaan
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Dorota Monies
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
- Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
| | - Mohamed Abouelhoda
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
- Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
- Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt
| | - Dejene Abebe
- Psychiatry Department, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia
| | | | - Nada A Al-Tassan
- Behavioral Genetics unit, Department of Genetics, King Faisal Specialist Hospital and Research Center, P.O Box 3354, Riyadh, 11211, Saudi Arabia.
- Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
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12
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Harich B, Klein M, Ockeloen CW, van der Voet M, Schimmel‐Naber M, de Leeuw N, Schenck A, Franke B. From man to fly - convergent evidence links FBXO25 to ADHD and comorbid psychiatric phenotypes. J Child Psychol Psychiatry 2020; 61:545-555. [PMID: 31849056 PMCID: PMC7217029 DOI: 10.1111/jcpp.13161] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/18/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Mental disorders, including Attention-Deficit/Hyperactivity Disorder (ADHD), have a complex etiology, and identification of underlying genetic risk factors is challenging. This study used a multistep approach to identify and validate a novel risk gene for ADHD and psychiatric comorbidity. METHODS In a single family, severely affected by ADHD and cooccurring disorders, we applied single nucleotide polymorphism (SNP)-array analysis to detect copy-number variations (CNVs) linked to disease. Genes present in the identified CNV were subsequently tested for their association with ADHD in the largest data set currently available (n = 55,374); this gene-set and gene-based association analyses were based on common genetic variants. Significant findings were taken forward for functional validation using Drosophila melanogaster as biological model system, altering gene expression using the GAL4-UAS system and a pan-neuronal driver, and subsequently characterizing locomotor activity and sleep as functional readouts. RESULTS We identified a copy number gain in 8p23.3, which segregated with psychiatric phenotypes in the family and was confirmed by quantitative RT-PCR. Common genetic variants in this locus were associated with ADHD, especially those in FBXO25 and TDRP. Overexpression of the FBXO25 orthologue in two Drosophila models consistently led to increased locomotor activity and reduced sleep compared with the genetic background control. CONCLUSIONS We combine ADHD risk gene identification in an individual family with genetic association testing in a large case-control data set and functional validation in a model system, together providing an important illustration of an integrative approach suggesting that FBXO25 contributes to key features of ADHD and comorbid neuropsychiatric disorders.
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Affiliation(s)
- Benjamin Harich
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Marieke Klein
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
- Department of PsychiatryUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Charlotte W. Ockeloen
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Monique van der Voet
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Marlies Schimmel‐Naber
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Nicole de Leeuw
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Annette Schenck
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Barbara Franke
- Department of Human GeneticsDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
- Department of PsychiatryDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
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13
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Toma C, Díaz-Gay M, Franch-Expósito S, Arnau-Collell C, Overs B, Muñoz J, Bonjoch L, Soares de Lima Y, Ocaña T, Cuatrecasas M, Castells A, Bujanda L, Balaguer F, Cubiella J, Caldés T, Fullerton JM, Castellví-Bel S. Using linkage studies combined with whole-exome sequencing to identify novel candidate genes for familial colorectal cancer. Int J Cancer 2019; 146:1568-1577. [PMID: 31525256 PMCID: PMC7004061 DOI: 10.1002/ijc.32683] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 08/23/2019] [Indexed: 12/23/2022]
Abstract
Colorectal cancer (CRC) is a complex disorder for which the majority of the underlying germline predisposition factors remain still unidentified. Here, we combined whole‐exome sequencing (WES) and linkage analysis in families with multiple relatives affected by CRC to identify candidate genes harboring rare variants with potential high‐penetrance effects. Forty‐seven affected subjects from 18 extended CRC families underwent WES. Genome‐wide linkage analysis was performed under linear and exponential models. Suggestive linkage peaks were identified on chromosomes 1q22–q24.2 (maxSNP = rs2134095; LODlinear = 2.38, LODexp = 2.196), 7q31.2–q34 (maxSNP = rs6953296; LODlinear = 2.197, LODexp = 2.149) and 10q21.2–q23.1 (maxSNP = rs1904589; LODlinear = 1.445, LODexp = 2.195). These linkage signals were replicated in 10 independent sets of random markers from each of these regions. To assess the contribution of rare variants predicted to be pathogenic, we performed a family‐based segregation test with 89 rare variants predicted to be deleterious from 78 genes under the linkage intervals. This analysis showed significant segregation of rare variants with CRC in 18 genes (weighted p‐value > 0.0028). Protein network analysis and functional evaluation were used to suggest a plausible candidate gene for germline CRC predisposition. Etiologic rare variants implicated in cancer germline predisposition may be identified by combining traditional linkage with WES data. This approach can be used with already available NGS data from families with several sequenced members to further identify candidate genes involved germline predisposition to disease. This approach resulted in one candidate gene associated with increased risk of CRC but needs evidence from further studies. What's new? Inherited genetic factors are thought to account for more than one‐third of colorectal cancer (CRC) cases. Most predisposing genetic factors, however, remain unidentified. Here, genome‐wide linkage analysis using whole‐exome sequencing (WES) data was performed in families with marked CRC aggregation. The combined linkage‐sequencing approach identified possible linkage peaks on chromosomes 1q22‐q24.2, 7q31.2‐q34, and 10q21.2‐q23.1. Analyses of potentially pathogenic variants revealed significant segregation of rare variants in 18 genes, while functional analyses identified a plausible candidate gene for germline CRC predisposition. The findings underscore the utility of linkage analysis employing WES for the discovery of candidate genes for disease predisposition.
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Affiliation(s)
- Claudio Toma
- Neuroscience Research Australia, Sydney, Australia.,School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Marcos Díaz-Gay
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Sebastià Franch-Expósito
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Coral Arnau-Collell
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Bronwyn Overs
- Neuroscience Research Australia, Sydney, Australia.,School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Jenifer Muñoz
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Laia Bonjoch
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Yasmin Soares de Lima
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Teresa Ocaña
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Miriam Cuatrecasas
- Pathology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd) and Tumor Bank-Biobank, Hospital Clínic, Barcelona, Spain
| | - Antoni Castells
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Luis Bujanda
- Gastroenterology Department, Hospital Donostia-Instituto Biodonostia, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Basque Country University (UPV/EHU), San Sebastian, Spain
| | - Francesc Balaguer
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Joaquín Cubiella
- Gastroenterology Department, Complexo Hospitalario Universitario de Ourense, Instituto de Investigación Sanitaria Galicia Sur, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Ourense, Spain
| | - Trinidad Caldés
- Molecular Oncology Laboratory, Hospital Clinico San Carlos, CIBERONC (Centro de Investigacion Biomedica en Red de Cancer), IdISSC, Madrid, Spain
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, Australia.,School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Sergi Castellví-Bel
- Gastroenterology Department, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, University of Barcelona, Barcelona, Spain
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14
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Hecker J, Laird N, Lange C. A comparison of popular TDT-generalizations for family-based association analysis. Genet Epidemiol 2019; 43:300-317. [PMID: 30609057 DOI: 10.1002/gepi.22181] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 09/26/2018] [Accepted: 11/26/2018] [Indexed: 12/31/2022]
Abstract
The transmission disequilibrium test (TDT) is the gold standard for testing the association between a genetic variant and disease in samples consisting of affected individuals and their parents. In practice, more complex pedigree structures, that is siblings with no parents, or three-generational pedigrees with possibly missing genotypes, are common. There are several generalizations of the TDT that are suitable for use with arbitrary pedigree structures. We consider three such frequently used generalizations, family-based association test, pedigree disequilibrium test, and generalized disequilibrium test, that have accompanying software and compare them regarding validity and power in the single variant setting. We use simulations to study the effects of population admixture, populations whose genotypes are not in Hardy-Weinberg equilibrium (HWE), different pedigree structures, and the presence of linkage. Whereas our results show that some TDT generalizations can have a substantially increased Type 1 error, these tests are often used in substantive research without caveats about the validity of their Type 1 error. For the association analysis of rare variants in sequencing studies, region-based extensions of the TDT generalizations, that rely on the postulated robustness of the single variant tests, have been proposed. We discuss the implications of our results for these region-based extensions.
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Affiliation(s)
- Julian Hecker
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Nan Laird
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Christoph Lange
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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15
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Schäfer N, Friedrich M, Jørgensen ME, Kollert S, Koepsell H, Wischmeyer E, Lesch KP, Geiger D, Döring F. Functional analysis of a triplet deletion in the gene encoding the sodium glucose transporter 3, a potential risk factor for ADHD. PLoS One 2018; 13:e0205109. [PMID: 30286162 PMCID: PMC6171906 DOI: 10.1371/journal.pone.0205109] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 09/19/2018] [Indexed: 12/19/2022] Open
Abstract
Sodium-glucose transporters (SGLT) belong to the solute carrier 5 family, which is characterized by sodium dependent transport of sugars and other solutes. In contrast, the human SGLT3 (hSGLT3) isoform, encoded by SLC5A4, acts as a glucose sensor that does not transport sugar but induces membrane depolarization by Na+ currents upon ligand binding. Whole-exome sequencing (WES) of several extended pedigrees with high density of attention-deficit/hyperactivity disorder (ADHD) identified a triplet ATG deletion in SLC5A4 leading to a single amino acid loss (ΔM500) in the hSGLT3 protein imperfectly co-segregating with the clinical phenotype of ADHD. Since mutations in homologous domains of hSGLT1 and hSGLT2 were found to affect intestinal and renal function, respectively, we analyzed the functional properties of hSGLT3[wt] and [ΔM500] by voltage clamp and current clamp recordings from cRNA-injected Xenopus laevis oocytes. The cation conductance of hSGLT3[wt] was activated by application of glucose or the specific agonist 1-desoxynojirimycin (DNJ) as revealed by inward currents in the voltage clamp configuration and cell depolarization in the current clamp mode. Almost no currents and changes in membrane potential were observed when glucose or DNJ were applied to hSGLT3[ΔM500]-injected oocytes, demonstrating a loss of function by this amino acid deletion in hSGLT3. To monitor membrane targeting of wt and mutant hSGLT3, fusion constructs with YFP were generated, heterologously expressed in Xenopus laevis oocytes and analyzed for membrane fluorescence by confocal microscopy. In comparison to hSGLT3[wt] the fluorescent signal of mutant [ΔM500] was reduced by 43% indicating that the mutant phenotype might mainly result from inaccurate membrane targeting. As revealed by homology modeling, residue M500 is located in TM11 suggesting that in addition to the core structure (TM1-TM10) of the transporter, the surrounding TMs are equally crucial for transport/sensor function. In conclusion, our findings indicate that the deletion [ΔM500] in hSGLT3 inhibits membrane targeting and thus largely disrupts glucose-induced sodium conductance, which may, in interaction with other ADHD risk-related gene variants, influence the risk for ADHD in deletion carriers.
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Affiliation(s)
- Nadine Schäfer
- Department of Molecular Plant Physiology and Biophysics, Julius-von-Sachs-Institute, University of Würzburg, Würzburg, Germany
| | - Maximilian Friedrich
- Division of Molecular Psychiatry, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Morten Egevang Jørgensen
- Department of Molecular Plant Physiology and Biophysics, Julius-von-Sachs-Institute, University of Würzburg, Würzburg, Germany
| | - Sina Kollert
- Division of Molecular Psychiatry, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
- Division of Molecular Electrophysiology, Institute of Physiology, University of Würzburg, Würzburg, Germany
- Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Hermann Koepsell
- Department of Molecular Plant Physiology and Biophysics, Julius-von-Sachs-Institute, University of Würzburg, Würzburg, Germany
| | - Erhard Wischmeyer
- Division of Molecular Electrophysiology, Institute of Physiology, University of Würzburg, Würzburg, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health,University Hospital of Würzburg, Würzburg, Germany
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
- Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Neuroscience, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Dietmar Geiger
- Department of Molecular Plant Physiology and Biophysics, Julius-von-Sachs-Institute, University of Würzburg, Würzburg, Germany
| | - Frank Döring
- Division of Molecular Electrophysiology, Institute of Physiology, University of Würzburg, Würzburg, Germany
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health,University Hospital of Würzburg, Würzburg, Germany
- * E-mail:
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