Medical Genetics Commons^™

Regulation Of Cerebral Blood Flow Boosts Precise Brain Targeting Of Vinpocetine-Derived Ionizable-Lipidoid Nanoparticles, Xufei Bian, Ling Yang, Dingxi Jiang, Adam J Grippin, Yifan Ma, Shuang Wu, Linchong Wu, Xiaoyou Wang, Zhongjie Tang, Kaicheng Tang, Weidong Pan, Shiyan Dong, Betty Y S Kim, Wen Jiang, Zhaogang Yang, Chong Li

Faculty, Staff and Student Publications

Despite advances in active drug targeting for blood-brain barrier penetration, two key challenges persist: first, attachment of a targeting ligand to the drug or drug carrier does not enhance its brain biodistribution; and second, many brain diseases are intricately linked to microcirculation disorders that significantly impede drug accumulation within brain lesions even after they cross the barrier. Inspired by the neuroprotective properties of vinpocetine, which regulates cerebral blood flow, we propose a molecular library design centered on this class of cyclic tertiary amine compounds and develop a self-enhanced brain-targeted nucleic acid delivery system. Our findings reveal that: (i) vinpocetine-derived ionizable-lipidoid …

Inotuzumab Ozogamicin For The Treatment Of Adult Acute Lymphoblastic Leukemia: Past Progress, Current Research And Future Directions, Nicholas J Short, Elias Jabbour, Nitin Jain, Hagop Kantarjian

Faculty, Staff and Student Publications

Inotuzumab ozogamicin (INO) is an anti-CD22 antibody-drug conjugate that was first evaluated in B-cell lymphomas but was subsequently shown to be highly effective in acute lymphoblastic leukemia (ALL). INO improved response rates and survival in a randomized study in adults with relapsed/refractory B-cell ALL, leading to its regulatory approval in the United States in 2017. While the formal approval for INO is as monotherapy in relapsed/refractory ALL, subsequent studies with INO administered in combination with chemotherapy and/or blinatumomab both in the frontline and salvage settings have yielded promising results. In this review, we discuss the clinical development of INO in …

The Greenbeard Gene Tgrb1 Regulates Altruism And Cheating In Dictyostelium Discoideum, Mariko Katoh-Kurasawa, Peter Lehmann, Gad Shaulsky

Faculty, Staff and Students Publications

Greenbeard genetic elements encode rare perceptible signals, signal recognition ability, and altruism towards others that display the same signal. Putative greenbeards have been described in various organisms but direct evidence for all the properties in one system is scarce. The tgrB1-tgrC1 allorecognition system of Dictyostelium discoideum encodes two polymorphic membrane proteins which protect cells from chimerism-associated perils. During development, TgrC1 functions as a ligand-signal and TgrB1 as its receptor, but evidence for altruism has been indirect. Here, we show that mixing wild-type and activated tgrB1 cells increases wild-type spore production and relegates the mutants to the altruistic stalk, whereas mixing …

Clinical, Genetic, And Cognitive Correlates Of Seizure Occurrences In Phelan-Mcdermid Syndrome, Tess Levy, Jacob Gluckman, Paige M Siper, Danielle Halpern, Jessica Zweifach, Rajna Filip-Dhima, J Lloyd Holder, M Pilar Trelles, Kristina Johnson, Jonathan A Bernstein, Elizabeth Berry-Kravis, Craig M Powell, Latha Valluripalli Soorya, Audrey Thurm, Joseph D Buxbaum, Mustafa Sahin, Alexander Kolevzon, Siddharth Srivastava

Duncan NRI Faculty and Staff Publications

Background: Phelan-McDermid syndrome (PMS) is a genetic neurodevelopmental disorder caused by SHANK3 haploinsufficiency and is associated with an increased risk for seizures. Previous literature indicates that around one third of individuals with PMS also have epilepsy or seizures, with a wide range of types and ages of onset. Investigating the impact of seizures on intellectual and adaptive functioning for PMS is a primary concern for caregivers and is important to understanding the natural history of this syndrome.

Methods: We report on results from 98 individuals enrolled in a prospective, longitudinal study. We detailed seizure frequency, type, and age of onset, …

Mustang: Multi-Sample Spatial Transcriptomics Data Analysis With Cross-Sample Transcriptional Similarity Guidance, Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T C Wong, Xiaoning Qian

Faculty, Staff and Students Publications

Spatially resolved transcriptomics has revolutionized genome-scale transcriptomic profiling by providing high-resolution characterization of transcriptional patterns. Here, we present our spatial transcriptomics analysis framework, MUSTANG (MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance), which is capable of performing multi-sample spatial transcriptomics spot cellular deconvolution by allowing both cross-sample expression-based similarity information sharing as well as spatial correlation in gene expression patterns within samples. Experiments on a semi-synthetic spatial transcriptomics dataset and three real-world spatial transcriptomics datasets demonstrate the effectiveness of MUSTANG in revealing biological insights inherent in the cellular characterization of tissue samples under study.

Phenome-Wide Identification Of Therapeutic Genetic Targets, Leveraging Knowledge Graphs, Graph Neural Networks, And Uk Biobank Data, Lawrence Middleton, Ioannis Melas, Chirag Vasavda, Arwa Raies, Benedek Rozemberczki, Ryan S Dhindsa, Justin S Dhindsa, Blake Weido, Quanli Wang, Andrew R Harper, Gavin Edwards, Slavé Petrovski, Dimitrios Vitsios

Faculty, Staff and Students Publications

The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca's Biological Insights Knowledge Graph and numerous tabular datasets, to assess gene-disease probabilities throughout the phenome. We use graph neural networks, capturing the graph's holistic structure, and train them on hundreds of balanced datasets via a robust semi-supervised learning framework to provide gene-disease probabilities across the human exome. Mantis-ML 2.0 incorporates natural language processing to automate disease-relevant feature selection for thousands of diseases. The enhanced models demonstrate a 6.9% average classification power …

Clinical Significance Of Pno1 As A Novel Biomarker And Therapeutic Target Of Hepatocellular Carcinoma, Sanjit K. Roy, Shivam Srivastava, Caroline Mccance, Anju Shrivastava, Jason Morvant, Sharmila Shankar, Rakesh K. Srivastava

School of Medicine Faculty Publications

The RNA-binding protein PNO1 plays an essential role in ribosome biogenesis. Recent studies have shown that it is involved in tumorigenesis; however, its role in hepatocellular carcinoma (HCC) is not well understood. The purpose of this study was to examine whether PNO1 can be used as a biomarker of HCC and also examine the therapeutic potential of PNO1 knockout for the treatment of HCC. PNO1 expression was upregulated in HCC and associated with poor prognosis. PNO1 expression was positively associated with tumour stage, lymph node metastasis and poor survival. PNO1 expression was significantly higher in HCC compared to that in …

Addressing Or Reinforcing Injustice? Artificial Amnion And Placenta Technology, Loss-Sensitive Care And Racial Inequities In Preterm Birth, Sophie L Schott, Faith Fletcher, Alice Story, April Adams

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

Casi: A Framework For Cross-Timepoint Analysis Of Single-Cell Rna Sequencing Data, Yizhuo Wang, Christopher R Flowers, Michael Wang, Xuelin Huang, Ziyi Li

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) technology has been widely used to study the differences in gene expression at the single cell level, providing insights into the research of cell development, differentiation, and functional heterogeneity. Various pipelines and workflows of scRNA-seq analysis have been developed but few considered multi-timepoint data specifically. In this study, we develop CASi, a comprehensive framework for analyzing multiple timepoints' scRNA-seq data, which provides users with: (1) cross-timepoint cell annotation, (2) detection of potentially novel cell types emerged over time, (3) visualization of cell population evolution, and (4) identification of temporal differentially expressed genes (tDEGs). Through comprehensive simulation …

A Bioinformatic Analysis Of T-Cell Epitope Diversity In Sars-Cov-2 Variants: Association With Covid-19 Clinical Severity In The United States Population, Grace J. Kim, Jacob H. Elnaggar, Mallory Varnado, Amy K. Feehan, Darlene Tauzier, Rebecca Rose, Susanna L. Lamers, Maya Sevalia, Najah Nicholas, Elizabeth Gravois, Daniel Fort, Judy S. Crabtree, Lucio Miele

School of Graduate Studies Faculty Publications

Long-term immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the identification of T-cell epitopes affecting host immunogenicity. In this computational study, we explored the CD8+ epitope diversity estimated in 27 of the most common HLA-A and HLA-B alleles, representing most of the United States population. Analysis of 16 SARS-CoV-2 variants [B.1, Alpha (B.1.1.7), five Delta (AY.100, AY.25, AY.3, AY.3.1, AY.44), and nine Omicron (BA.1, BA.1.1, BA.2, BA.4, BA.5, BQ.1, BQ.1.1, XBB.1, XBB.1.5)] in analyzed MHC class I alleles revealed that SARS-CoV-2 CD8+ epitope conservation was estimated at 87.6%–96.5% in spike (S), 92.5%–99.6% in membrane (M), and 94.6%–99% in …

Downregulation Of Mirlet7 Mirna Family Promotes Tc17 Differentiation And Emphysema Via De-Repression Of Rorγt, Phillip A Erice, Xinyan Huang, Matthew J Seasock, Matthew J Robertson, Hui-Ying Tung, Melissa A Perez-Negron, Shivani L Lotlikar, David B Corry, Farrah Kheradmand, Antony Rodriguez

Faculty, Staff and Students Publications

Environmental air irritants including nanosized carbon black (nCB) can drive systemic inflammation, promoting chronic obstructive pulmonary disease (COPD) and emphysema development. The let-7 microRNA (Mirlet7 miRNA) family is associated with IL-17-driven T cell inflammation, a canonical signature of lung inflammation. Recent evidence suggests the Mirlet7 family is downregulated in patients with COPD, however, whether this repression conveys a functional consequence on emphysema pathology has not been elucidated. Here, we show that overall expression of the Mirlet7 clusters, Mirlet7b/Mirlet7c2 and Mirlet7a1/Mirlet7f1/Mirlet7d, are reduced in the lungs and T cells of smokers with emphysema as well as in mice with …

Imaging Features Of Primary Intracranial Sarcoma With Dicer1 Mutation: A Multicenter Case Series, Rami W Eldaya, Richard J Fagan, Samir A Dagher, Angshumoy Roy, Sonika Dahyia, Gregory N Fuller, Max Wintermark, Matthew S Parsons, Thierry A G M Huisman

Faculty, Staff and Student Publications

Primary intracranial sarcoma, DICER1-mutant, is a rare, recently described entity in the fifth edition of the WHO Classification of CNS Tumors. Given the entity's rarity and recent description, imaging data on primary intracranial sarcoma, DICER1-mutant, remains scarce. In this multicenter case series, we present detailed multimodality imaging features of primary intracranial sarcoma, DICER1-mutant, with emphasis on the appearance of the entity on MR imaging. In total, 8 patients were included. In all 8 patients, the lesion demonstrated blood products on T1WI. In 7 patients, susceptibility-weighted imaging was obtained and demonstrated blood products. Primary intracranial sarcoma, DICER1-mutant, …

Response To Lao, Guan, Wang, Et Al, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Alexis C Edwards, Kristina Sundquist, Weiva Sieh

Faculty, Staff and Student Publications

No abstract provided.

Correction: Horne Et Al White Matter Correlates Of Domain-Specific Working Memory, Autumn Horne, Junhua Ding, Tatiana T Schnur, Randi C Martin

Faculty, Staff and Student Publications

In the original publication [...].

Exome Sequencing Implicates Ancestry-Related Mendelian Variation At Syne1 In Childhood-Onset Essential Hypertension, Ian Copeland, Edmond Wonkam-Tingang, Monesha Gupta-Malhotra, S Shahrukh Hashmi, Yixing Han, Aarti Jajoo, Nancy J Hall, Paula P Hernandez, Natasha Lie, Dan Liu, Jun Xu, Jill Rosenfeld, Aparna Haldipur, Zelene Desire, Zeynep H Coban-Akdemir, Daryl A Scott, Qing Li, Hsiao-Tuan Chao, Ana M Zaske, James R Lupski, Dianna M Milewicz, Sanjay Shete, Jennifer E Posey, Neil A Hanchard

Faculty, Staff and Student Publications

Childhood-onset essential hypertension (COEH) is an uncommon form of hypertension that manifests in childhood or adolescence and, in the United States, disproportionately affects children of African ancestry. The etiology of COEH is unknown, but its childhood onset, low prevalence, high heritability, and skewed ancestral demography suggest the potential to identify rare genetic variation segregating in a Mendelian manner among affected individuals and thereby implicate genes important to disease pathogenesis. However, no COEH genes have been reported to date. Here, we identify recessive segregation of rare and putatively damaging missense variation in the spectrin domain of spectrin repeat containing nuclear envelope …

Single Extracellular Vesicle Imaging And Computational Analysis Identifies Inherent Architectural Heterogeneity, Kshipra S Kapoor, Seoyun Kong, Hikaru Sugimoto, Wenhua Guo, Vivek Boominathan, Yi-Lin Chen, Sibani Lisa Biswal, Tanguy Terlier, Kathleen M Mcandrews, Raghu Kalluri

Faculty, Staff and Student Publications

Evaluating the heterogeneity of extracellular vesicles (EVs) is crucial for unraveling their complex actions and biodistribution. Here, we identify consistent architectural heterogeneity of EVs using cryogenic transmission electron microscopy (cryo-TEM), which has an inherent ability to image biological samples without harsh labeling methods while preserving their native conformation. Imaging EVs isolated using different methodologies from distinct sources, such as cancer cells, normal cells, immortalized cells, and body fluids, we identify a structural atlas of their dominantly consistent shapes. We identify EV architectural attributes by utilizing a segmentation neural network model. In total, 7,576 individual EVs were imaged and quantified by …

Histone Demethylase Kdm5 Regulates Cardiomyocyte Maturation By Promoting Fatty Acid Oxidation, Oxidative Phosphorylation, And Myofibrillar Organization, Manisha Deogharia, Leslye Venegas-Zamora, Akanksha Agrawal, Miusi Shi, Abhinav K Jain, Kevin J Mchugh, Francisco Altamirano, Ali J Marian, Priyatansh Gurha

Faculty, Staff and Student Publications

Aims: Human pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) provide a platform to identify and characterize factors that regulate the maturation of CMs. The transition from an immature foetal to an adult CM state entails coordinated regulation of the expression of genes involved in myofibril formation and oxidative phosphorylation (OXPHOS) among others. Lysine demethylase 5 (KDM5) specifically demethylates H3K4me1/2/3 and has emerged as potential regulators of expression of genes involved in cardiac development and mitochondrial function. The purpose of this study is to determine the role of KDM5 in iPSC-CM maturation.

Methods and results: KDM5A, B, and C proteins were mainly expressed …

Identification Of Potent Pan-Ephrin Receptor Kinase Inhibitors Using Dna-Encoded Chemistry Technology, Chandrashekhar Madasu, Zian Liao, Sydney E Parks, Kiran L Sharma, Kurt M Bohren, Qiuji Ye, Feng Li, Murugesan Palaniappan, Zhi Tan, Fei Yuan, Chad J Creighton, Suni Tang, Ramya P Masand, Xiaoming Guan, Damian W Young, Diana Monsivais, Martin M Matzuk

Faculty, Staff and Students Publications

EPH receptors (EPHs) are highly sought-after drug targets owing to their essential roles in maintaining appropriate cellular functions in both physiological and disease conditions. However, limited potency and specificity pose significant obstacles to the development of small-molecule inhibitors for EPHs. Here, using high-throughput DNA-encoded chemical library screenings, we developed potent and selective inhibitors of the EPH receptor kinase family. Our results also emphasize the therapeutic potential of our EPH inhibitors in cancer and endometriosis, a global health concern that causes chronic pain and often leads to infertility in women. This study showcases the robust pipeline of using DNA-encoded chemistry technology …

Data Normalization For Addressing The Challenges In The Analysis Of Single-Cell Transcriptomic Datasets, Raquel Cuevas-Diaz Duran, Haichao Wei, Jiaqian Wu

Faculty, Staff and Student Publications

BACKGROUND: Normalization is a critical step in the analysis of single-cell RNA-sequencing (scRNA-seq) datasets. Its main goal is to make gene counts comparable within and between cells. To do so, normalization methods must account for technical and biological variability. Numerous normalization methods have been developed addressing different sources of dispersion and making specific assumptions about the count data.

MAIN BODY: The selection of a normalization method has a direct impact on downstream analysis, for example differential gene expression and cluster identification. Thus, the objective of this review is to guide the reader in making an informed decision on the most …

A Qualitative Interview Study To Determine Barriers And Facilitators Of Implementing Automated Decision Support Tools For Genomic Data Access, Vasiliki Rahimzadeh, Jinyoung Baek, Jonathan Lawson, Edward S Dove

Center for Medical Ethics and Health Policy Staff Publications

Data access committees (DAC) gatekeep access to secured genomic and related health datasets yet are challenged to keep pace with the rising volume and complexity of data generation. Automated decision support (ADS) systems have been shown to support consistency, compliance, and coordination of data access review decisions. However, we lack understanding of how DAC members perceive the value add of ADS, if any, on the quality and effectiveness of their reviews. In this qualitative study, we report findings from 13 semi-structured interviews with DAC members from around the world to identify relevant barriers and facilitators to implementing ADS for genomic …

The Molecular Basis Of Maple Syrup Urine Disease, Chloe Jensen

Senior Honors Theses

Maple syrup urine disease (MSUD) is a rare metabolic disorder that is caused by mutations in the branched chain alpha keto acid dehydrogenase enzyme complex (BCKDC). There are three main genes, the BCKDHA, BCKDHB, and DBT, that affect the BCKDC, all contributing to the onset of the disease. MSUD causes encephalopathy, neural deficits, maple syrup scented urine, coma, and even death if not treated due to the aggregation of branched-chain amino acids (BCAAs). There is currently no known cure for patients with MSUD, but the condition can be managed to improve quality of life. This review serves to examine MSUD …

Triggering Receptor Expressed On Myeloid Cells 2 (Trem2) Regulates Phagocytosis In Glioblastoma, Mekenzie M Peshoff, Pravesh Gupta, Shivangi Oberai, Rakesh Trivedi, Hiroshi Katayama, Prashanth Chakrapani, Minghao Dang, Simona Migliozzi, Joy Gumin, Divya B Kadri, Jessica K Lin, Nancy K Milam, Mark E Maynard, Brian D Vaillant, Brittany Parker-Kerrigan, Frederick F Lang, Jason T Huse, Antonio Iavarone, Linghua Wang, Karen Clise-Dwyer, Krishna P Bhat

Faculty, Staff and Student Publications

Background: Glioblastomas (GBMs) are central nervous system tumors that resist standard-of-care interventions and even immune checkpoint blockade. Myeloid cells in the tumor microenvironment can contribute to GBM progression; therefore, emerging immunotherapeutic approaches include reprogramming these cells to achieve desirable antitumor activity. Triggering receptor expressed on myeloid cells 2 (TREM2) is a myeloid signaling regulator that has been implicated in a variety of cancers and neurological diseases with contrasting functions, but its role in GBM immunopathology and progression is still under investigation.

Methods: Our reverse translational investigations leveraged single-cell RNA sequencing and cytometry of human gliomas to characterize TREM2 expression across …

A Comprehensive Approach To Evaluate Genetic Abnormalities In Multiple Myeloma Using Optical Genome Mapping, Ying S Zou, Melanie Klausner, Jen Ghabrial, Victoria Stinnett, Patty Long, Laura Morsberger, Jaclyn B Murry, Katie Beierl, Christopher D Gocke, Rena R Xian, Kevin H Toomer, Jing Christine Ye, Robert Z Orlowski, Carol Ann Huff, Syed Abbas Ali, Philip H Imus, Christian B Gocke, Guilin Tang

Faculty, Staff and Student Publications

No abstract provided.

Evaluating The Heterogeneity Of Hippocampal Avoidant Whole Brain Radiotherapy Treatment Effect: A Secondary Analysis Of Nrg Cc001, Hua-Ren R Cherng, Kai Sun, Søren Bentzen, Terri S Armstrong, Vinai Gondi, Paul D Brown, Minesh Mehta, Mark V Mishra

Faculty, Staff and Student Publications

Background: Hippocampal avoidant whole brain radiotherapy (HA-WBRT) is the standard of care for patients needing WBRT for brain metastases. This study, using existing data from NRG Oncology CC001 including baseline tumor characteristics and patient-reported MD Anderson Symptom Inventory-Brain Tumor (MDASI-BT) scores, sought to identify subgroups of patients that demonstrate differential neuroprotective treatment response to HA-WBRT.

Methods: An exploratory analysis of NRG CC001, a phase 3 trial in which 518 patients were randomly assigned to WBRT plus memantine or HA-WBRT plus memantine, was performed. Rates of neurocognitive function failure (NCFF) were estimated between subgroups and stratified by arm. Covariate and subgroup …

Focal Adhesion Kinase-Yap Signaling Axis Drives Drug-Tolerant Persister Cells And Residual Disease In Lung Cancer, Franziska Haderk, Yu-Ting Chou, Lauren Cech, Celia Fernández-Méndez, Johnny Yu, Victor Olivas, Ismail M Meraz, Dora Barbosa Rabago, D Lucas Kerr, Carlos Gomez, David V Allegakoen, Juan Guan, Khyati N Shah, Kari A Herrington, Oghenekevwe M Gbenedio, Shigeki Nanjo, Mourad Majidi, Whitney Tamaki, Yashar K Pourmoghadam, Julia K Rotow, Caroline E Mccoach, Jonathan W Riess, J Silvio Gutkind, Tracy T Tang, Leonard Post, Bo Huang, Pilar Santisteban, Hani Goodarzi, Sourav Bandyopadhyay, Calvin J Kuo, Jeroen P Roose, Wei Wu, Collin M Blakely, Jack A Roth, Trever G Bivona

Faculty, Staff and Student Publications

Targeted therapy is effective in many tumor types including lung cancer, the leading cause of cancer mortality. Paradigm defining examples are targeted therapies directed against non-small cell lung cancer (NSCLC) subtypes with oncogenic alterations in EGFR, ALK and KRAS. The success of targeted therapy is limited by drug-tolerant persister cells (DTPs) which withstand and adapt to treatment and comprise the residual disease state that is typical during treatment with clinical targeted therapies. Here, we integrate studies in patient-derived and immunocompetent lung cancer models and clinical specimens obtained from patients on targeted therapy to uncover a focal adhesion kinase (FAK)-YAP signaling …

Antiviral Medications For Preventing Cytomegalovirus Disease In Solid Organ Transplant Recipients, Robin Wm Vernooij, Mini Michael, Maleeka Ladhani, Angela C Webster, Giovanni Fm Strippoli, Jonathan C Craig, Elisabeth M Hodson

Faculty, Staff and Students Publications

Background: The risk of cytomegalovirus (CMV) infection in solid organ transplant recipients has resulted in the frequent use of prophylaxis to prevent the clinical syndrome associated with CMV infection. This is an update of a review first published in 2005 and updated in 2008 and 2013.

Objectives: To determine the benefits and harms of antiviral medications to prevent CMV disease and all-cause death in solid organ transplant recipients.

Search methods: We contacted the information specialist and searched the Cochrane Kidney and Transplant Register of Studies up to 5 February 2024 using search terms relevant to this review. Studies in the …

Gain-Of-Function And Loss-Of-Function Variants In Gria3 Lead To Distinct Neurodevelopmental Phenotypes, Berardo Rinaldi, Allan Bayat, Linda G Zachariassen, Jia-Hui Sun, Yu-Han Ge, Dan Zhao, Kristine Bonde, Laura H Madsen, Ilham Abdimunim Ali Awad, Duygu Bagiran, Amal Sbeih, Syeda Maidah Shah, Shaymaa El-Sayed, Signe M Lyngby, Miriam G Pedersen, Charlotte Stenum-Berg, Louise Claudia Walker, Ilona Krey, Andrée Delahaye-Duriez, Lisa T Emrick, Krystal Sully, Chaya N Murali, Lindsay C Burrage, Julie Ana Plaud Gonzalez, Mered Parnes, Jennifer Friedman, Bertrand Isidor, Jérémie Lefranc, Sylvia Redon, Delphine Heron, Cyril Mignot, Boris Keren, Mélanie Fradin, Christele Dubourg, Sandra Mercier, Thomas Besnard, Benjamin Cogne, Wallid Deb, Clotilde Rivier, Donatella Milani, Maria Francesca Bedeschi, Claudia Di Napoli, Federico Grilli, Paola Marchisio, Suzanna Koudijs, Danielle Veenma, Emanuela Argilli, Sally Ann Lynch, Ping Yee Billie Au, Fernando Eduardo Ayala Valenzuela, Carolyn Brown, Diane Masser-Frye, Marilyn Jones, Leslie Patron Romero, Wenhui Laura Li, Erin Thorpe, Laura Hecher, Jessika Johannsen, Jonas Denecke, Vanda Mcniven, Anna Szuto, Emma Wakeling, Vincent Cruz, Valerie Sency, Heng Wang, Juliette Piard, Fanny Kortüm, Theresia Herget, Tatjana Bierhals, Angelo Condell, Bruria Ben-Zeev, Simranpreet Kaur, John Christodoulou, Amelie Piton, Christiane Zweier, Cornelia Kraus, Alessia Micalizzi, Marina Trivisano, Nicola Specchio, Gaetan Lesca, Rikke S Møller, Zeynep Tümer, Maria Musgaard, Benedicte Gerard, Johannes R Lemke, Yun Stone Shi, Anders S Kristensen

Faculty, Staff and Students Publications

AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid) receptors (AMPARs) mediate fast excitatory neurotransmission in the brain. AMPARs form by homo- or heteromeric assembly of subunits encoded by the GRIA1–GRIA4 genes, of which only GRIA3 is X-chromosomal. Increasing numbers of GRIA3 missense variants are reported in patients with neurodevelopmental disorders (NDD), but only a few have been examined functionally.

Here, we evaluated the impact on AMPAR function of one frameshift and 43 rare missense GRIA3 variants identified in patients with NDD by electrophysiological assays. Thirty-one variants alter receptor function and show loss-of-function or gain-of-function properties, whereas 13 appeared neutral.

We collected detailed …

Using Genome And Transcriptome Data From African-Ancestry Female Participants To Identify Putative Breast Cancer Susceptibility Genes, Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Ran Tao, Christine Ambrosone, Dezheng Huo, Stefan Ambs, Mollie E Barnard, Yu Chen, Montserrat Garcia-Closas, Jian Gu, Jennifer J Hu, Esther M John, Christopher I Li, Katherine Nathanson, Barbara Nemesure, Olufunmilayo I Olopade, Tuya Pal, Michael F Press, Maureen Sanderson, Dale P Sandler, Toshio Yoshimatsu, Prisca O Adejumo, Thomas Ahearn, Abenaa M Brewster, Anselm J M Hennis, Timothy Makumbi, Paul Ndom, Katie M O'Brien, Andrew F Olshan, Mojisola M Oluwasanu, Sonya Reid, Song Yao, Ebonee N Butler, Maosheng Huang, Atara Ntekim, Bingshan Li, Melissa A Troester, Julie R Palmer, Christopher A Haiman, Jirong Long, Wei Zheng

Faculty, Staff and Student Publications

African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3' UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues from 150 AA participants and then used these models to perform association analyses using genomic data from 18,034 cases and 22,104 controls. At Bonferroni-corrected P < 0.05, we identified six genes associated with breast cancer risk, including four genes not previously reported (CTD-3080P12.3, EN1, LINC01956 and NUP210L). Most of these genes showed a stronger association with risk of estrogen-receptor (ER) negative or triple-negative than ER-positive breast cancer. We also replicated the associations with 29 genes reported in previous TWAS at P < 0.05 (one-sided), providing further support for an association of these genes with breast cancer risk. Our study sheds new light on the genetic basis of breast cancer and highlights the value of conducting research in AA populations.

Mdm2 Inhibitors For Cancer Therapy: The Past, Present, And Future, Wei Wang, Najah Albadari, Yi Du, Josef F Fowler, Hannah T Sang, Wa Xian, Frank Mckeon, Wei Li, Jia Zhou, Ruiwen Zhang

Faculty, Staff and Student Publications

Since its discovery over 35 years ago, MDM2 has emerged as an attractive target for the development of cancer therapy. MDM2's activities extend from carcinogenesis to immunity to the response to various cancer therapies. Since the report of the first MDM2 inhibitor more than 30 years ago, various approaches to inhibit MDM2 have been attempted, with hundreds of small-molecule inhibitors evaluated in preclinical studies and numerous molecules tested in clinical trials. Although many MDM2 inhibitors and degraders have been evaluated in clinical trials, there is currently no Food and Drug Administration (FDA)-approved MDM2 inhibitor on the market. Nevertheless, there are …

Examining Patient Preferences And Perceptions Of Provider Communication Strategies For Variant Reclassification In Hereditary Cancer Genetic Testing, Mitchell Mcelfresh, Katie Hutto, Gwen Reiser, Bronson Riley, Charlie King

Capstones: Genetic Counseling

Genetic testing plays a role in oncology care by providing insight into patient’s cancer risk and guiding medical management. Variants in genes are classified by their potential to cause disease according to the five-tier system recommended by the American College of Medical Genetics (ACMG). Reclassification of variants is fluid and can lead to both changes in medical management and challenging discussions. Previous research has described methods genetic counselors use for recontacting patients about reclassification, but not whether these methods align with patient preferences. This study employed a mixed methods survey for patients in Nebraska (recruited via flyer and mail) and …