Genetics and Genomics Commons^™

Unsupervised Deep Representation Learning Enables Phenotype Discovery For Genetic Association Studies Of Brain Imaging, Khush Patel, Ziqian Xie, Hao Yuan, Sheikh Muhammad Saiful Islam, Yaochen Xie, Wei He, Wanheng Zhang, Assaf Gottlieb, Han Chen, Luca Giancardo, Alexander Knaack, Evan Fletcher, Myriam Fornage, Shuiwang Ji, Degui Zhi

Journal Articles

Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited amounts of data. Here, we present an approach to derive brain imaging phenotypes using unsupervised deep representation learning. We train a 3-D convolutional autoencoder model with reconstruction loss on 6130 UK Biobank (UKBB) participants' T1 or T2-FLAIR (T2) brain MRIs to create a 128-dimensional representation known as Unsupervised Deep learning …

Diagnostic Yield Of Exome Sequencing In Prenatal Agenesis Of Corpus Callosum: Systematic Review And Meta-Analysis, H. J. Mustafa, J. P. Barbera, E. V. Sambatur, G. Pagani, Y. Yaron, C. D. Baptiste, R. J. Wapner, C. J. Brewer, A. Khalil

Department of Medicine Faculty Papers

OBJECTIVES: To determine the incremental diagnostic yield of exome sequencing (ES) after negative chromosomal microarray analysis (CMA) in cases of prenatally diagnosed agenesis of the corpus callosum (ACC) and to identify the associated genes and variants.

METHODS: A systematic search was performed to identify relevant studies published up until June 2022 using four databases: PubMed, SCOPUS, Web of Science and The Cochrane Library. Studies in English reporting on the diagnostic yield of ES following negative CMA in prenatally diagnosed partial or complete ACC were included. Authors of cohort studies were contacted for individual participant data and extended cohorts were provided …

Current Strategies For Increasing Knock-In Efficiency In Crispr/Cas9-Based Approaches, Andrés Felipe Leal, Angelica María Herreno-Pachón, Eliana Benincore-Flórez, Amali Karunathilaka, Shunji Tomatsu

Department of Pediatrics Faculty Papers

Since its discovery in 2012, the clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein 9 (Cas9) system has supposed a promising panorama for developing novel and highly precise genome editing-based gene therapy (GT) alternatives, leading to overcoming the challenges associated with classical GT. Classical GT aims to deliver transgenes to the cells via their random integration in the genome or episomal persistence into the nucleus through lentivirus (LV) or adeno-associated virus (AAV), respectively. Although high transgene expression efficiency is achieved by using either LV or AAV, their nature can result in severe side effects in humans. For instance, …

Contextualizing The Revised Patient Perception Of Patient-Centeredness (Pppc-R) Scale In Primary Healthcare Settings: A Validity And Reliability Evaluation Study, Yiyuan Cai, Pengfei Guo, Jiong Tu, Mengyao Hu, Lingrui Liu, Bridget L Ryan, Jing Liao, Rubee Dev, Yiran Li, Tianyu Huang, Ruilin Wang, Li Kuang, Ruonan Huang, Xinfang Li, Edmundo Roberto Melipillán, Shuaixiang Zhao, Wenjun He, Xiaohui Wang, Nan Zhang, Dong Roman Xu

Journal Articles

BACKGROUND: An English version of the Patient Perception of Patient-Centeredness (PPPC) scale was recently revised, and it is necessary to test this instrument in different primary care populations.

AIM: This study aimed to assess the validity and reliability of a Chinese version of the PPPC scale.

DESIGN: A mixed method was used in this study. The Delphi method was used to collect qualitative and quantitative data to address the content validity of the PPPC scale by calculating the Content Validity Index, Content Validity Ratio, the adjusted Kappa, and the Item Impact Score. Confirmatory factor analysis (CFA) and exploratory factor analysis …