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Rosewood TJ, Nho K, Risacher SL, Gao S, Shen L, Foroud T, Saykin AJ. Genome-Wide Association Analysis across Endophenotypes in Alzheimer's Disease: Main Effects and Disease Stage-Specific Interactions. Genes (Basel) 2023; 14:2010. [PMID: 38002954 PMCID: PMC10671827 DOI: 10.3390/genes14112010] [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: 09/11/2023] [Revised: 10/23/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
The underlying genetic susceptibility for Alzheimer's disease (AD) is not yet fully understood. The heterogeneous nature of the disease challenges genetic association studies. Endophenotype approaches can help to address this challenge by more direct interrogation of biological traits related to the disease. AD endophenotypes based on amyloid-β, tau, and neurodegeneration (A/T/N) biomarkers and cognitive performance were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort (N = 1565). A genome-wide association study (GWAS) of quantitative phenotypes was performed using an SNP main effect and an SNP by Diagnosis interaction (SNP × DX) model to identify disease stage-specific genetic effects. Nine loci were identified as study-wide significant with one or more A/T/N endophenotypes in the main effect model, as well as additional findings significantly associated with cognitive measures. These nine loci include SNPs in or near the genes APOE, SRSF10, HLA-DQB1, XKR3, and KIAA1671. The SNP × DX model identified three study-wide significant genetic loci (BACH2, EP300, and PACRG-AS1) with a neuroprotective effect in later AD stage endophenotypes. An endophenotype approach identified novel genetic associations and provided insight into the molecular mechanisms underlying the genetic associations that may otherwise be missed using conventional case-control study designs.
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Affiliation(s)
- Thea J. Rosewood
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN 46202, USA; (T.J.R.); (S.L.R.); (S.G.); (T.F.)
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Kwangsik Nho
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN 46202, USA; (T.J.R.); (S.L.R.); (S.G.); (T.F.)
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- School of Informatics and Computing, Indiana University, Indianapolis, IN 46202, USA
| | - Shannon L. Risacher
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN 46202, USA; (T.J.R.); (S.L.R.); (S.G.); (T.F.)
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sujuan Gao
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN 46202, USA; (T.J.R.); (S.L.R.); (S.G.); (T.F.)
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, The Perelman School of Medicine, Philadelphia, PA 19104, USA;
| | - Tatiana Foroud
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN 46202, USA; (T.J.R.); (S.L.R.); (S.G.); (T.F.)
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Andrew J. Saykin
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN 46202, USA; (T.J.R.); (S.L.R.); (S.G.); (T.F.)
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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Tano V, Utami KH, Yusof NABM, Bégin J, Tan WWL, Pouladi MA, Langley SR. Widespread dysregulation of mRNA splicing implicates RNA processing in the development and progression of Huntington's disease. EBioMedicine 2023; 94:104720. [PMID: 37481821 PMCID: PMC10393612 DOI: 10.1016/j.ebiom.2023.104720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 07/03/2023] [Accepted: 07/03/2023] [Indexed: 07/25/2023] Open
Abstract
BACKGROUND In Huntington's disease (HD), a CAG repeat expansion mutation in the Huntingtin (HTT) gene drives a gain-of-function toxicity that disrupts mRNA processing. Although dysregulation of gene splicing has been shown in human HD post-mortem brain tissue, post-mortem analyses are likely confounded by cell type composition changes in late-stage HD, limiting the ability to identify dysregulation related to early pathogenesis. METHODS To investigate gene splicing changes in early HD, we performed alternative splicing analyses coupled with a proteogenomics approach to identify early CAG length-associated splicing changes in an established isogenic HD cell model. FINDINGS We report widespread neuronal differentiation stage- and CAG length-dependent splicing changes, and find an enrichment of RNA processing, neuronal function, and epigenetic modification-related genes with mutant HTT-associated splicing. When integrated with a proteomics dataset, we identified several of these differential splicing events at the protein level. By comparing with human post-mortem and mouse model data, we identified common patterns of altered splicing from embryonic stem cells through to post-mortem striatal tissue. INTERPRETATION We show that widespread splicing dysregulation in HD occurs in an early cell model of neuronal development. Importantly, we observe HD-associated splicing changes in our HD cell model that were also identified in human HD striatum and mouse model HD striatum, suggesting that splicing-associated pathogenesis possibly occurs early in neuronal development and persists to later stages of disease. Together, our results highlight splicing dysregulation in HD which may lead to disrupted neuronal function and neuropathology. FUNDING This research is supported by the Lee Kong Chian School of Medicine, Nanyang Technological University Singapore Nanyang Assistant Professorship Start-Up Grant, the Singapore Ministry of Education under its Singapore Ministry of Education Academic Research Fund Tier 1 (RG23/22), the BC Children's Hospital Research Institute Investigator Grant Award (IGAP), and a Scholar Award from the Michael Smith Health Research BC.
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Affiliation(s)
- Vincent Tano
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
| | - Kagistia Hana Utami
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore; Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A∗STAR), Singapore 138648, Singapore
| | - Nur Amirah Binte Mohammad Yusof
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A∗STAR), Singapore 138648, Singapore
| | - Jocelyn Bégin
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia V5Z 4H4, Canada
| | - Willy Wei Li Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
| | - Mahmoud A Pouladi
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A∗STAR), Singapore 138648, Singapore; Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia V5Z 4H4, Canada
| | - Sarah R Langley
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore.
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The Molecular Genetics of Dissociative Symptomatology: A Transdiagnostic Literature Review. Genes (Basel) 2022; 13:genes13050843. [PMID: 35627228 PMCID: PMC9141026 DOI: 10.3390/genes13050843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 12/04/2022] Open
Abstract
Dissociative disorders are a common and frequently undiagnosed group of psychiatric disorders, characterized by disruptions in the normal integration of awareness, personality, emotion and behavior. The available evidence suggests that these disorders arise from an interaction between genetic vulnerability and stress, particularly traumatic stress, but the attention paid to the underlying genetic diatheses has been sparse. In this paper, the existing literature on the molecular genetics of dissociative disorders, as well as of clinically significant dissociative symptoms not reaching the threshold of a disorder, is reviewed comprehensively across clinical and non-clinical samples. Association studies suggest a link between dissociative symptoms and genes related to serotonergic, dopaminergic and peptidergic transmission, neural plasticity and cortisol receptor sensitivity, particularly following exposure to childhood trauma. Genome-wide association studies have identified loci of interest related to second messenger signaling and synaptic integration. Though these findings are inconsistent, they suggest biologically plausible mechanisms through which traumatic stress can lead to pathological dissociation. However, methodological concerns related to phenotype definition, study power, and correction for the confounding factors limit the value of these findings, and they require replication and extension in studies with better design.
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Liu CC, Fang CP, Liu TH, Kuo HW, Liu SC, Wang SC, Chen ACH, Liu YL. APBB2 is associated with amphetamine use and plasma beta-amyloids in patients receiving methadone maintenance treatment. Prog Neuropsychopharmacol Biol Psychiatry 2018; 83:92-98. [PMID: 29330135 DOI: 10.1016/j.pnpbp.2018.01.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 12/21/2017] [Accepted: 01/09/2018] [Indexed: 11/29/2022]
Abstract
APBB2, amyloid beta (A4) precursor protein-binding family B member 2, has been reported to be associated with opioid dependence. In this study, we reported the first time that the genetic variants in the APBB2 gene were associated with use of amphetamine in opioid dependent patients undergoing methadone maintenance treatment (MMT). 344 heroin-dependent patients undergoing MMT were recruited and assessed for use of amphetamine and opioids by urine toxicology, withdrawal severity, and side effects. DNAs were genome-widely genotyped for all patients. Single nucleotide polymorphisms (SNPs) in APBB2 were selected for association analyses for methadone treatment responses. Gene expression levels of APBB2 were measured by real-time polymerase chain reaction (PCR) in the EBV-transformed lymphoblastoids from patients. MMT patients who used amphetamine showed a significantly higher percentage of positive results in the urine morphine test (P=0.005), and insomnia (P=0.018). In single locus association analyses, SNPs rs3935357 and rs4861075 located at intron 6 were significantly associated with amphetamine use in both genotype and allele type (general linear model (GLM), P=0.0003, and 0.0002 for genotype, and 0.0003, and 0.002 for allele type, respectively). The major allele type carriers had twice risk of amphetamine use compared to the minor allele type carriers. Subjects with the TT genotype of rs4861075 showed significantly higher levels of APBB2 gene expression in both total (P=0.02) and long-form (P=0.037) than those with CC genotype. Detailed mechanisms underlying the association of APBB2 with amphetamine use and level of plasma amyloid beta in MMT patients require further investigation.
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Affiliation(s)
- Chia-Chen Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Chiu-Ping Fang
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Tung-Hsia Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Hsiang-Wei Kuo
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Shu Chi Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Sheng-Chang Wang
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Andrew C H Chen
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, USA; The Feinstein Institute for Medical Research, Hofstra Northwell School of Medicine at Hofstra University, Manhasset, New York, USA
| | - Yu-Li Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan; Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan.
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Xiao WH, Qu XL, Li XM, Sun YL, Zhao HX, Wang S, Zhou X. Identification of commonly dysregulated genes in colorectal cancer by integrating analysis of RNA-Seq data and qRT-PCR validation. Cancer Gene Ther 2015; 22:278-84. [PMID: 25908452 DOI: 10.1038/cgt.2015.20] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 03/09/2015] [Accepted: 03/12/2015] [Indexed: 02/07/2023]
Abstract
The progression of colorectal cancer (CRC) is a multistep process and metastatic CRC is always incurable; consequently, CRC is the leading cause of cancer-related deaths. There is therefore an urgent need for identifying useful biomarkers with enough sensitivity and specificity to detect this disease at early stages, which will significantly reduce the mortality for this malignancy. In this study, we performed an integrating analysis of different RNA-Seq data sets to find new candidate biomarkers for diagnosis, prognosis and as therapeutic targets for this malignancy, as well as to elucidate the molecular mechanisms of CRC carcinogenesis. We identified 883 differentially expressed genes (DEGs) across the studies between CRC and normal control (NC) tissues by combining five RNA-Seq data sets. Gene function analysis revealed high correlation with carcinogenesis. The top 10 most significantly DEGs were further evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) in both rectal cancer (RC) and colon cancer (CC), and the results matched well with integrating data, suggesting that the method of integrating analysis of different RNA-seq data sets is acceptable. Therefore, integrating analysis of different RNA-seq data sets may be a useful way to overcome the limitation of small sample size in a single RNA-seq study. In addition, our study showed that some genes, such as SIM2, ADAMTS6, FOXD4L4 and DNAH5, may have an important role in the development of CRC, which could be applied for diagnosis, prognosis and as therapy for this malignancy. Our findings would also help to understand the pathology of CRC.
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Affiliation(s)
- W H Xiao
- Department of Oncology, The First affiliated Hospital of PLA General Hospital, Beijing, China
| | - X L Qu
- Department of Oncology, The First affiliated Hospital of PLA General Hospital, Beijing, China
| | - X M Li
- Department of Oncology, The First affiliated Hospital of PLA General Hospital, Beijing, China
| | - Y L Sun
- Beijing Yangshen Bioinformatic Technology, Beijing, China
| | - H X Zhao
- Department of Oncology, The First affiliated Hospital of PLA General Hospital, Beijing, China
| | - S Wang
- Department of Oncology, The First affiliated Hospital of PLA General Hospital, Beijing, China
| | - X Zhou
- Department of Oncology, The First affiliated Hospital of PLA General Hospital, Beijing, China
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Golanska E, Sieruta M, Gresner SM, Pfeffer A, Chodakowska-Zebrowska M, Sobow TM, Klich I, Mossakowska M, Szybinska A, Barcikowska M, Liberski PP. APBB2 genetic polymorphisms are associated with severe cognitive impairment in centenarians. Exp Gerontol 2013; 48:391-4. [PMID: 23384821 DOI: 10.1016/j.exger.2013.01.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Revised: 12/20/2012] [Accepted: 01/08/2013] [Indexed: 11/28/2022]
Abstract
APBB2 gene encodes for β-amyloid precursor protein-binding family B member 2, (APBB2, FE65-like, FE65L1), an adaptor protein binding to the cytoplasmatic domain of β-amyloid precursor protein (βAPP). Over-expression of APBB2 promotes formation of β-amyloid (Aβ), the main constituent of senile plaques. Polymorphisms within APBB2 gene have been proposed as candidate risk factors for Alzheimer's disease. However, their association with longevity has never been investigated. Here we present the first attempt to analyze APBB2 polymorphisms in centenarians. We used a PCR-RFLP method to analyze two intronic nucleotide substitutions: hCV1558625 (rs17443013) and rs13133980. We found no differences in genotype or allele distribution between centenarians and young controls. After stratification of centenarians upon their cognitive performance, the APBB2 rs13133980 G allele was over-represented in centenarians with severe cognitive impairment compared to individuals without this disability. Also the hCV1558625-rs13133980 AG haplotype increased relative risk for severe cognitive impairment in centenarians. Our results support the concept of APBB2 polymorphism association with cognitive performance in the oldest age.
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Affiliation(s)
- Ewa Golanska
- Department of Molecular Pathology and Neuropathology, Medical University of Lodz, 8/10 Czechoslowacka St., 92-216 Lodz, Poland.
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