Article
Multidisciplinary Sciences
Qingqin S. Li, Randall L. Morrison, Gustavo Turecki, Wayne C. Drevets
Summary: Epigenetic mechanisms play a significant role in the etiology of major depressive disorder (MDD), as indicated by a meta-analysis study. The study identified differentially methylated positions (DMPs) and differentially methylated regions (DMRs) associated with MDD, highlighting the involvement of pathways related to neuronal synaptic plasticity, calcium signaling, and inflammation.
SCIENTIFIC REPORTS
(2022)
Article
Psychiatry
Nora Strom, Dirk J. A. Smit, Talisa Silzer, Conrad Iyegbe, Christie L. Burton, Rene Pool, Mathieu Lemire, James J. Crowley, Jouke-Jan Hottenga, Volen Z. Ivanov, Henrik Larsson, Paul Lichtenstein, Patrik Magnusson, Christian Ruck, Russell J. Schachar, Hei Man Wu, Sandra M. Meier, Jennifer Crosbie, Paul D. Arnold, Manuel Mattheisen, Dorret Boomsma, David Mataix-Cols, Danielle Cath
Summary: This study reveals the heritability of hoarding symptoms and identifies genetic associations with schizophrenia, autism spectrum disorder, and educational attainment. However, no significant loci were detected in the genome-wide analysis.
TRANSLATIONAL PSYCHIATRY
(2022)
Article
Cardiac & Cardiovascular Systems
Tatsuhiko Naito, Kosuke Inoue, Kyuto Sonehara, Ryuta Baba, Takaya Kodama, Yu Otagaki, Akira Okada, Kiyotaka Itcho, Kazuhiro Kobuke, Shinji Kishimoto, Kenichi Yamamoto, Takayuki Morisaki, Yukihito Higashi, Nobuyuki Hinata, Koji Arihiro, Noboru Hattori, Yukinori Okada, Kenji Oki
Summary: This study identified 10 loci associated with the risk of primary aldosteronism (PA) in the Japanese population, and 5 significantly associated loci in a cross-ancestry meta-analysis. The strongest association was found with a variant of the WNT2B gene, highlighting the involvement of the Wnt/beta-catenin pathway in PA pathogenesis.
Article
Computer Science, Interdisciplinary Applications
Xinyue Wang, Xiaoqian Jiang, Jaideep Vaidya
Summary: The paper proposes two algorithms for generating synthetic SNPs that are indistinguishable from real SNPs. Through game theoretic analysis, it demonstrates the possibility of incentivizing honest behavior by the server. Extensive experiments show that the proposed method can ensure efficient and trustworthy outsourcing of logistic regression for GWAS.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Multidisciplinary Sciences
Xiaoyu Liang, Xuewei Cao, Qiuying Sha, Shuanglin Zhang
Summary: The article introduces a novel multivariate method for phenome-wide association studies (PheWAS) and demonstrates its superiority through extensive simulation studies and real-life application. The proposed method involves hierarchical clustering, clustering linear combination, and false discovery rate control steps.
Review
Plant Sciences
Laura Tibbs Cortes, Zhiwu Zhang, Jianming Yu
Summary: Genome-wide association studies (GWAS) have become a powerful tool for investigating complex traits, with the development of the mixed model framework reducing false positives. Advances in technology have led to the development of methods to increase computational speed or improve statistical power in GWAS.
Article
Agronomy
Reem Joukhadar, Rebecca Thistlethwaite, Richard Trethowan, Gabriel Keeble-Gagnere, Matthew J. Hayden, Smi Ullah, Hans D. Daetwyler
Summary: Through metaGWAS analysis, several stable QTL were detected across multiple environments, providing an important resource for studying gene-environment interactions under both heat stressed and unstressed conditions.
THEORETICAL AND APPLIED GENETICS
(2021)
Article
Multidisciplinary Sciences
Ludivine Obry, Cyril Dalmasso
Summary: In this study, we evaluated recent weighted multiple testing procedures for genome wide association studies (GWAS) through a simulation study. We also introduced a new efficient procedure called wBHa, which prioritizes the detection of genetic variants with low minor allel frequencies while maximizing overall detection power. Our results demonstrated that wBHa outperformed other procedures in detecting rare variants while maintaining good overall power.
Review
Clinical Neurology
Christy Au-Yeung, Danielle Penney, Jesse Rae, Hannah Carling, Libby Lassman, Martin Lepage
Summary: Negative symptoms (NS) are core symptoms in schizophrenia spectrum disorders and are closely related to neurocognitive functioning. This review synthesizes close to two decades of research and finds a nonspecific relationship between neurocognition and NS, with a stronger correlation observed with the expressive NS dimension.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2023)
Review
Biochemistry & Molecular Biology
Imane Lalami, Carole Abo, Bruno Borghese, Charles Chapron, Daniel Vaiman
Summary: This review discusses the genetics of endometriosis, a common feminine disease with a genetic heritability estimated at around 50%. Large GWAS studies have identified some genes and loci associated with the disease, but a significant portion of the heritability remains unexplained. Additional efforts such as exome sequencing may be needed to fully elucidate the genetic factors of endometriosis.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Editorial Material
Medicine, General & Internal
Lisa Bastarache, Joshua C. Denny, Dan M. Roden
Summary: This article discusses the concept and methodology of phenome-wide association studies, which aim to identify associations between genetic variations and phenotypic traits using a dataset.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
(2022)
Article
Biochemical Research Methods
Saifur R. Khan, Andreea Obersterescu, Erica P. Gunderson, Babak Razani, Michael B. Wheeler, Brian J. Cox
Summary: A bioinformatics tool called metGWAS 1.0 has been developed to identify novel disease/trait-specific metabolite-gene associations by integrating independent GWAS data and standalone metabolomics data, with evaluations conducted on two case studies. The tool is implemented in an R pipeline and available on GitHub for use.
Article
Biochemistry & Molecular Biology
Aurina Arnatkeviciute, Mathieu Lemire, Claire Morrison, Michael Mooney, Peter Ryabinin, Nicole M. Roslin, Molly Nikolas, James Coxon, Jeggan Tiego, Ziarih Hawi, Alex Fornito, Walter Henrik, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Hugh Garavan, Joel Nigg, Naomi P. Friedman, Christie Burton, Russell Schachar, Jennifer Crosbie, Mark A. Bellgrove
Summary: Deficits in effective executive function are associated with psychiatric disorders and impact everyday functioning. The genetic architecture of these traits is not well understood. This study identified genetic influences on inhibitory control using a genome wide association study, but larger sample sizes are needed for more robust associations. The results also support the use of executive function measures as endophenotypes for neuropsychiatric disorders.
MOLECULAR PSYCHIATRY
(2023)
Article
Multidisciplinary Sciences
Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Dhiya Al-Jumeily
Summary: The increasing incidence of Alzheimer's disease (AD) poses socioeconomic challenges. In this study, a hybrid feature selection approach and neural network models are used to predict AD. The approach outperformed existing methods with 99% accuracy and f1-score, providing impactful outcomes for other chronic diseases.
Article
Multidisciplinary Sciences
Jack W. O'Sullivan, John P. A. Ioannidis
Summary: This study compared SNVs from earlier and later GWAS and found a replication rate of 85.0% in subsequent studies, with a lower replication rate for binary phenotypes compared to quantitative phenotypes. The study also identified a decrease in SNV effect size for binary phenotypes, but an increase for quantitative phenotypes, and developed a model that could predict SNV replication effectively.
SCIENTIFIC REPORTS
(2021)
Article
Biotechnology & Applied Microbiology
Yongsheng Li, Cynthia Camarillo, Juan Xu, Tania Bedard Arana, Yun Xiao, Zheng Zhao, Hong Chen, Mercedes Ramirez, Juan Zavala, Michael A. Escamilla, Regina Armas, Ricardo Mendoza, Alfonso Ontiveros, Humberto Nicolini, Alvaro Antonio Jerez Magana, Lewis P. Rubin, Xia Li, Chun Xu
BIOMED RESEARCH INTERNATIONAL
(2015)
Article
Behavioral Sciences
Z. Merali, S. Hayley, P. Kent, J. McIntosh, T. Bedard, H. Anisman
BEHAVIOURAL BRAIN RESEARCH
(2009)
Article
Biochemistry & Molecular Biology
Ke-Sheng Wang, Xuefeng Liu, Tania Bedard Arana, Nicholas Thompson, Henry Weisman, Cecilia Devargas, ChunXiang Mao, Brenda Bin Su, Cynthia Camarillo, Michael A. Escamilla, Chun Xu
JOURNAL OF MOLECULAR NEUROSCIENCE
(2013)
Article
Clinical Neurology
Ke-Sheng Wang, Nuo Xu, Liang Wang, Lorenzo Aragon, Radu Ciubuc, Tania Bedard Arana, ChunXiang Mao, Leonora Petty, David Briones, Brenda Bin Su, Xingguang Luo, Cynthia Camarillo, Michael A. Escamilla, Chun Xu
JOURNAL OF NEURAL TRANSMISSION
(2014)
Review
Endocrinology & Metabolism
M. D. S. Lapiz-Bluhm, C. O. Bondi, J. Doyen, G. A. Rodriguez, T. Bedard-Arana, D. A. Morilak
JOURNAL OF NEUROENDOCRINOLOGY
(2008)
Article
Multidisciplinary Sciences
Yun Xiao, Cynthia Camarillo, Yanyan Ping, Tania Bedard Arana, Hongying Zhao, Peter M. Thompson, Chaohan Xu, Bin Brenda Su, Huihui Fan, Javier Ordonez, Li Wang, Chunxiang Mao, Yunpeng Zhang, Dianne Cruz, Michael A. Escamilla, Xia Li, Chun Xu
Article
Behavioral Sciences
Tania Bedard, Christine Mountney, Pam Kent, Hymie Anisman, Zul Merali
BEHAVIOURAL BRAIN RESEARCH
(2007)
Review
Clinical Neurology
Corina O. Bondi, Gabriel Barrera, M. Danet S. Lapiz, Tania Bedard, Amy Mahan, David A. Morilak
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2007)
Article
Neurosciences
Zul Merali, Tania Bedard, Nick Andrews, Ben Davis, Alexander T. McKnight, M. Isabel Gonzalez, Martyn Pritchard, Pam Kent, Hymie Anisman
JOURNAL OF NEUROSCIENCE
(2006)
Review
Neurosciences
Z Merali, P Kent, LS Du, P Hrdina, M Palkovits, G Faludi, MO Poulter, T Bédard, H Anisman
BIOLOGICAL PSYCHIATRY
(2006)
Article
Neurosciences
CR Plata-Salamán, SE Ilyin, NP Turrin, D Gayle, MC Flynn, T Bedard, Z Merali, H Anisman
BRAIN RESEARCH BULLETIN
(2000)
Article
Biochemistry & Molecular Biology
P Kent, T Bedard, S Khan, H Anisman, Z Merali