Medical Genetics Commons^™

Extending Genome-Wide Association Studies To Admixed Cohorts With High Degrees Of Relatedness, Taotao Tan, Alejandra Vergara-Lope, José Jaime Martínez-Magaña, Nirav N Shah, Yi-Sian Lin, Kai Yuan, Jaime Berumen, Jesus Alegre-Díaz, Pablo Kuri-Morales, Roberto Tapia-Conyer, Joel Gelenter, Janitza L Montalvo-Ortiz, Wei Zhou, Jason M Torres, Elizabeth G Atkinson

Duncan NRI Faculty and Staff Publications

Admixed populations comprise a large portion of the human population worldwide, but are often excluded from genome-wide association studies (GWASs) due to analytic challenges. Our group developed Tractor, a local-ancestry-informed GWAS tool designed for admixed samples that produces accurate ancestry-specific effect sizes and boosts the discovery power to identify ancestry-enriched loci. However, Tractor operates under an assumption of unrelated samples. Here, to address this gap, we propose Tractor-Mix, which allows for well-calibrated association studies in datasets containing admixed samples with relatedness. Extensive simulations show that this method is competitive with other state-of-the-art approaches that do not produce ancestry-specific results. Empirical …

Evidence-Based Classification Of Genes Implicated In Skeletal Disorders Using The Clingen Curation Framework, Ryan F Webb, Hannah Mccurry, Amanda Girod, Madeline Hughes, Emma Wilcox, Mayher Patel, Eleanor C Broeren, Kezang C Tshering, Marina Distefano, Lorenzo D Botto, Lindsay C Burrage, Valérie Cormier-Daire, Juan Dong, Nadja Ehmke, Deborah Krakow, Shahida Moosa, Geert Mortier, Sandesh Nagamani, Loren Pena, Pedro A Sanchez-Lara, Andrea Superti-Furga, Sheila Unger, Danita Velasco, Matthew L Warman, Kerry Brown, Deepika D'Cunha Burkardt, Carlos R Ferreira

Faculty, Staff and Students Publications

More than 770 genetic skeletal disorders have been described, most with disease-causing variants reported in 1 of over 550 different genes. The ClinGen Skeletal Disorders Gene Curation Expert Panel was established to determine the strength of the evidence that supports specific gene-disease relationships (GDRs). Such information can assist clinical testing laboratories in choosing genes that should be included on diagnostic panels. Nine genes accounting for the most frequently encountered skeletal dysplasias (COL1A1, COL1A2, COL2A1, FGFR3, SLC26A2, TRPV4, COMP, ALPL, and SOX9) associated in the medical literature with 26 different skeletal disorders were reviewed using a semi-quantitative scoring framework. This framework …

Clingen Api Platform For Classification Of Human Genetic Variants, Neethu Shah, Tierra Farris, Arturo Alejandro Zuniga, Andrew R Jackson, Jessie Arce, Kevin Riehle, Christine G Preston, Mark E Mandell, Bryan Wulf, Gloria Cheung, Keyang Yu, Deborah I Ritter, Dubravka Jevtic, Miroslav Milinkov, Novak Martinovic, Nevena Vucinic, Aleksandar Mihajlovic, Alan F Rubin, Melissa S Cline, Marina Distefano, Malachi Griffith, Obi L Griffith, Matt W Wright, Teri E Klein, Sharon E Plon, Aleksandar Milosavljevic

Faculty, Staff and Students Publications

In this commentary, we describe how the Clinical Genome Resource's (ClinGen's) application programming interface-based microservices accelerate growth and dissemination of knowledge about human genetic variation. By exposing findable, accessible, interoperable, reusable, and AI-ready variant data, ClinGen lays a foundation for next-generation software applications, AI systems, and variant classification workflows.

Aggregation Of Gene Regulatory Information And Knowledge On Fair Principles Enables Discovery Of Pathogenic Gene Regulatory Variants, Keyang Yu, Haoquan Zhao, Andrea S Wilderman, Tierra R Farris, Jessie E Arce, David Chen, Andrew R Jackson, Yiran Guo, Qi Li, Bosko Jevtic, Dubravka Jevtic, Vuk Milinovic, Yuankun Zhu, Jeremy Costanza, Eric D Wenger, Christopher Nemarich, Lisa Anderson, Aleksandar Mihajlović, Kristin Ardlie, Shaine A Morris, Matthew E Roth, Deanne M Taylor, Adam C Resnick, Lilei Zhang, Aleksandar Milosavljevic

Faculty, Staff and Students Publications

Motivation: Methods for sharing gene regulatory information and knowledge on FAIR principles, particularly in the context of tissue-specific gene regulation, remain poorly defined and implemented, hampering discovery and clinical genetic diagnosis.

Results: We specified FAIR principles for tissue-specific gene regulatory information and knowledge; implemented them by developing a registry of regulatory elements and aggregating FAIR gene regulatory information from several major sources; developed computational tools that utilize these FAIR resources; and demonstrated their utility by associating gene regulatory variants with major subtypes of congenital heart disease.

Tumor Microenvironment Transcriptional Activity Enables Robust Stratification Of Chemotherapy Response In Triple-Negative Breast Cancer, Yaoyi Dai, Xiaoxi Pan, Shuai Guo, Shuangxi Ji, Shaolong Cao, Matthew D Montierth, Yujie Jiang, Jeffrey T Chang, Leming Shi, Shabnam Shalapour, Gloria V Echeverria, Lucy Yates, Johan Staaf, Bora Lim, Yinyin Yuan, Wenyi Wang

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) exhibits heterogeneous treatment responses, yet molecular subtypes based on predefined biological pathways show limited prognostic value. We introduce tumor-specific total mRNA expression (TmS), a pathway-agnostic deconvolution metric derived from matched RNA/DNA sequencing, as a robust stratification tool. Analyzing 575 TNBC patients across Western and East Asian populations, TmS outperforms established subtypes in predicting chemotherapy outcomes, stratifying patients into high TmS with favorable prognosis and low TmS with poor prognosis. Stromal enrichment with immune exclusion emerges as a universal feature of chemotherapy-resistant low-TmS tumors across all cohorts. Population-specific features distinguish Asian cohorts: high-TmS tumors exhibit cell cycle-driven …

Leveraging Ancestral Recombination Graphs For Scalable Mixed-Model Analysis Of Complex Traits, Jiazheng Zhu, Georgios Kalantzis, Ali Pazokitoroudi, Árni Freyr Gunnarsson, Hrushikesh Loya, Han Chen, Sriram Sankararaman, Pier Francesco Palamara

Faculty, Staff and Student Publications

Recent algorithmic advances have enabled the inference of genome-wide ancestral recombination graphs (ARGs) from large genomic cohorts, providing detailed models of genealogical relatedness along the genome. These inferred ARGs can complement genotype imputation by capturing the effects of unobserved variants, but their use in large-scale linear mixed-model analyses has been computationally prohibitive. Here, we develop methods that leverage the ARG to perform genotype-matrix multiplications in sublinear time and implement scalable randomized algorithms for mixed-model analyses. We introduce ARG-RHE, a randomized Haseman-Elston approach for estimating narrow-sense heritability and performing region-based association testing using ARGs, enabling parallel analysis of multiple quantitative traits. …

Expression Spectrum Of Te-Driven Transcripts In Human Adult Tissues, Benpeng Miao, Xinlong Luo, Amina Ademovic, Yushan Yang, Tao P Wu, Bo A Zhang

Faculty, Staff and Students Publications

Background

Transposable elements (TEs) are vital components of eukaryotic genomes and have played a critical role in genome evolution. Although most TEs are silenced in the mammalian genome, increasing evidence suggests that certain TEs are actively involved in gene regulation during early developmental stages. However, the extent to which human TEs drive gene transcription in adult tissues remains largely unexplored.

Results

In this study, we systematically analyze 17,329 human transcriptomes to investigate how TEs influence gene transcription across 47 adult tissues. Our findings reveal that TE-driven transcripts are broadly expressed in human tissues, contributing to both housekeeping functions and tissue-specific …

Epigenome-Wide Association Study Meta-Analysis Of Bmi In African Americans, Kendra Ferrier, Mariaelisa Graff, Iain R Konigsberg, Maggie Stanislawski, Heather M Highland, Laura M Raffield, April P Carson, Eric Boerwinkle, Jill M Norris, Chris R Gignoux, Audrey E Hendricks, Sridharan Raghavan, Kari E North, Kristin L Young, Anne E Justice, Matthew A Allison, Mathew J Budoff, Silva Kasela, François Aguet, Joshua J Joseph, Charles Kooperberg, Stephen S Rich, Jerome I Rotter, Ethan M Lange, Leslie A Lange

Faculty, Staff and Student Publications

Despite considerable advances in identifying risk factors for obesity, gaps remain in our understanding about its etiology. Genetic variants explain only a small portion of variation in obesity-related traits such as body mass index (BMI). Epigenetic regulation, which controls gene expression and is influenced by environmental and genetic factors, may account for additional variability in BMI. Epigenetic studies of BMI have largely been conducted in European ancestry populations, despite the disproportionate burden of obesity in African Americans (AAs). We conducted a sex-stratified BMI epigenome-wide association study meta-analysis in AA participants from the Jackson Heart Study (n = 1,604) and …

Dna Methyltransferase Inhibitors In Hematological Malignancies And Solid Tumors, Valentin Wenger, Guillermo Garcia-Manero, Robert Zeiser, Michael Lübbert

Faculty, Staff and Student Publications

Epigenetic modifications such as DNA methylation play a fundamental role in oncogenesis and the progression of neoplasms neoplasias. DNA methyltransferase inhibitors (DNMTi) constitute a family of therapeutic agents that impede the methylation at the 5-position on cytosine nucleotides, thereby modulating the epigenetic regulation of tumor suppressor genes, oncogenes, and other key regulatory genes. The first-generation DNMTi azacitidine and decitabine have demonstrated substantial efficacy in the treatment of medically non-fit, older patients with acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS) ineligible for intensive chemotherapy (IC), by virtue of their favorable safety profile. Despite these clinical achievements, however, single-agent DNMTi treatment …

Bdcd: A Comprehensive Brain Disease Cell-Cell Communication Database, Xinyi Liu, Citu Citu, Gang Qu, Wendao Liu, Nitesh Enduru, Andi Liu, Chia-Hao Tung, Zhongming Zhao

Faculty, Staff and Student Publications

Dysregulated cell–cell communication (CCC) is increasingly recognized as a driver of brain disease pathology, contributing to neuroinflammation, synaptic dysfunction, and neurodegeneration. Nevertheless, existing resources remain limited in brain specificity, regional coverage, and functional annotation. To address this gap, we develop the Brain Disease Cell-cell communication Database (BDCD), the first comprehensive resource focused on CCC networks across major brain diseases. BDCD integrates 38 manually curated datasets, comprising 8 519 425 single cells from single-cell RNA-seq studies and 140 744 spots from spatial transcriptomic maps, spanning 14 brain regions and 13 canonical cell types covering Alzheimer’s disease, Parkinson’s disease, schizophrenia, bipolar disorder, …

The Myopia Epidemic: Integrating Genetic, Environmental, And Epigenetic Pathways To Define A Critical Window For Intervention, Pranavika Balaji

UROP Posters

Myopia, or nearsightedness, has increased rapidly worldwide and is now a major public health concern caused by both genetic and environmental factors. Current understanding shows that too much near work, limited time spent outdoors, and prolonged screen use contribute to abnormal eye growth in individuals who may already have a genetic predisposition. At the molecular level, epigenetic changes and shifts in DNA activity, often influenced by environmental conditions, affect the signaling pathways that regulate eye development and may help explain why myopia is increasingly common among children. This paper synthesizes recent environmental, genetic, and epigenetic research to explain how these …

Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Andy Garcia Gonzalez, Liyang Shi, Xiaoyin Lu, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani

Faculty, Staff and Student Publications

NSD2 catalyses the epigenetic modification H3K36me2 (refs. 1,2) and is a candidate convergent downstream effector of oncogenic signalling in diverse malignancies3–5. However, it remains unclear whether the enzymatic activity of NSD2 is therapeutically targetable. Here we characterize a series of clinical-grade small-molecule catalytic NSD2 inhibitors (NSD2i) and show that the pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven preclinical cancer models. NSD2i inhibits NSD2 with single-digit nanomolar half-maximal inhibitory concentration potency and high selectivity over related methyltransferases. Structural analyses reveal that the specificity of NSD2i for NSD2 …

Differences Between Government, Consortium, And Private Database Stewards Impacting The Genomic Data Market: A Survey Of U.S. Academic Genetic Researchers., Amanda K Greene, J Denard Thomas, Kaitlyn Jaffe, Luyun Chen, Kerry A Ryan, Brian J Zikmund-Fisher, J Scott Roberts, Amy L Mcguire, Katherine Hendy, Kayte Spector-Bagdady

Center for Medical Ethics and Health Policy Staff Publications

Background: Despite major shifts in U.S. federal government data sharing requirements, their impact, and relation to researcher choice of database, are underexplored. This study surveyed genetic researchers regarding trends, priorities, perceptions of quality, impact on research outcomes, and genomic data sharing and use across government, consortium, and private databases.

Methods: As part of an exploratory sequential mixed methods project, we surveyed 294 U.S.-based genomic academic researchers.

Results: Genetic researchers generally have a choice between databases, which allows them to prioritize data quality. This might explain recent trends toward the use of government and consortium databases away from private ones. Respondents …

Benchmarking Dna Foundation Models For Genomic And Genetic Tasks, Haonan Feng, Lang Wu, Bingxin Zhao, Chad Huff, Jianjun Zhang, Jia Wu, Lifeng Lin, Peng Wei, Chong Wu

Faculty, Staff and Student Publications

The rapid evolution of DNA foundation models promises to revolutionize genomics, yet comprehensive evaluations are lacking. Here, we present a comprehensive, unbiased benchmark of five models (DNABERT-2, Nucleotide Transformer V2, HyenaDNA, Caduceus-Ph, and GROVER) across diverse genomic and genetic tasks including sequence classification, gene expression prediction, variant effect quantification, and topologically associating domain (TAD) region recognition, using zero-shot embeddings. Our analysis reveals that mean token embedding consistently and significantly improves sequence classification performance, outperforming other pooling strategies. Model performance varies among tasks and datasets; while general purpose DNA foundation models showed competitive performance in pathogenic variant identification, they were less …

Mecp2 Interacts With The Super Elongation Complex To Regulate Transcription, Jun Young Sonn, Wonho Kim, Marta Iwanaszko, Yuki Aoi, Yan Li, Guantong Qi, Luke Parkitny, Janice L Brissette, Lorin Weiner, Juan Botas, Ismael Al-Ramahi, Ali Shilatifard, Huda Y Zoghbi

Faculty, Staff and Students Publications

Loss-of-function mutations in methyl-CpG binding protein 2 (MECP2) cause Rett syndrome. While we know that MeCP2 binds to methylated cytosines on DNA, the full breadth of the molecular mechanisms by which MeCP2 regulates gene expression remains incompletely understood. Here, using a genetic modifier screen, we identify the super elongation complex, a P-TEFb–containing elongation factor that releases promoter-proximally paused RNA polymerase II, as a genetic interactor of MECP2. MeCP2 physically interacts with SEC subunits and directly binds AFF4, the scaffold of the SEC, via the transcriptional repression domain. Furthermore, MeCP2 facilitates the binding of AFF4 on a subset …

Transcription-Replication Collisions Trigger High-Fidelity Replication Reset, Matthew B Cooke, Kobie T Welch, Laura Deus Ramirez, Katelin M Hagstrom, Alice X Wen, Jennifer A Halliday, Susan M Rosenberg, Christophe Herman

Faculty, Staff and Students Publications

Double-stranded DNA ends arise from external agents or cellular processes like transcription-replication collisions (TRCs), threatening genome stability. Here, we performed genomic CRISPRi screens to uncover DNA end formation factors in Escherichia coli. We discovered that translation-transcription decoupling causes DNA end formation through a TRC-dependent pathway, which is lethal when DNA end processing by RecBCD is disrupted, but not when recombination is disrupted. We find that TRCs cause replisome stalling followed by "rear-ending" from trailing replisomes which generates free DNA ends, rather than strand breaks. Surprisingly, these DNA ends are resolved through a process we call "replication reset", where the stalled …

Developing A General Ai Model For Integrating Diverse Genomic Modalities And Comprehensive Genomic Knowledge, Zhenhao Zhang, Xinyu Bao, Linghua Jiang, Xin Luo, Zheyu Zhang, Jing Yin, Meiqi Zhao, Yichun Wang, Annelise Comai, Joerg Waldhaus, Anders S Hansen, Wenbo Li, Jie Liu

Faculty, Staff and Student Publications

Advances in next-generation sequencing technologies have vastly expanded the availability of diverse genomic, epigenomic, and transcriptomic data, presenting the opportunity to develop a general AI model that integrates comprehensive genomic knowledge into a unified model. Unlike previous predictive models, which are typically specialized to certain tasks, our general AI model unifies a wide range of genomic modalities, such as nascent RNA and ultra-high-resolution chromatin organization, within a multi-task architecture. Using ATAC-seq and DNA sequences as inputs, we incorporated diverse genomic modalities as output, and the model exhibits strong generalizability across different cell types and tissues in all tasks we trained. …

Compadre: Combined Pedigree-Aware Distant Relatedness Estimation For Improved Pedigree Reconstruction, Grahame F Evans, James T Baker, Lauren E Petty, Alexander S Petty, Hannah G Polikowsky, Ryan J Bohlender, Hung-Hsin Chen, Che-Yu Chou, Kathryn Z Viljoen, Janet M Beilby, Shelly Jo Kraft, Wanying Zhu, Joshua M Landman, Autumn R Morrow, Dayi Bian, Alyssa C Scartozzi, Chad D Huff, Jennifer E Below

Faculty, Staff and Student Publications

Designing powerful and unbiased genomic studies requires accurate assessment of familial relatedness even when this information is not captured from participants. Characterization of pairwise degrees of relatedness from participants' genetic data enables reconstruction of pedigrees, and several pedigree reconstruction tools have emerged in the last decade. However, limitations of these tools include high computational burden in large datasets, reliance on external information, reduced accuracy in admixed populations, and most notably, an inability to accurately reconstruct pedigrees when only a subset of family members is represented in the genetic data. To improve pedigree reconstruction in large-scale data and in pedigrees with …

Prospective Phase Ii Clinical Trial Of Molecular Glioblastoma (Historical Grade 2 And 3 Idh Wildtype Gliomas) Preliminary Novel Exploratory Analyses: Treatment Intensification, Margin Reduction And Epigenetic Stratified Outcomes With Radiation Therapy And Chemotherapy, Debra Nana Yeboa, Benjamin T Whitfield, Ruitao Lin, Chinenye Lynette Ejezie, Todd A Swanson, Thomas H Beckham, Chenyang Wang, Brian De, Subha Perni, Martin C Tom, Jing Li, Susan L Mcgovern, Rebecca Harrison, Nazanin K Majd, Vinay K Puduvalli, Ashley E Aaroe, Monica Loghin, Barbara J O'Brien, Anuj D Patel, Chirag B Patel, Jeffrey S Wefel, Ceylan Altintas Taslicay, Maria Gule-Monroe, Arnold C Paulino, Mary Frances Mcaleer, David R Grosshans, Amol J Ghia, Wen Jiang, Caroline Chung, Moshe Maor, Cheng-Han Yang, Maria A Gubbiotti, Carlos Kamiya-Matsuoka, Leomar Y Ballester, Shiao-Pei Weathers, Jason T Huse

Faculty, Staff and Student Publications

Purpose: Molecular glioblastoma (molGBM) is a variant lacking the full histopathological profile of glioblastoma. We report a trial aimed at addressing the optimal management of this newly recognized rarer form of glioma.

Methods: In this phase II study, molGBM patients were treated with radiation to a dose of 60Gy to the gross tumor volume (GTV) only, and a single smaller margin potentially as low as 1cm to the clinical tumor volume (CTV). As the trial is ongoing, we report on important exploratory biomarker findings correlating with median overall survival (mOS). Analysis included Kaplan-Meier and univariable/multivariable cox proportional hazard models. Available …

Sexually Dimorphic Sail Feathers In The Mandarin Duck As A Model For Lifelong Developmental Modulation, Pin-Chi Tang, Hsu-Chen Cheng, Gee-Way Lin, Yung-Chih Lai, Ya-Chen Liang, Ping Wu, Tzu-Chiao Lin, Chen Siang Ng, Isheng Jason Tsai, Ang Li, Wen Hsiung Li, Chih-Feng Chen, Cheng-Ming Chuong, Randall Widelitz

Faculty, Staff and Student Publications

Developmental processes extend beyond embryogenesis to support lifelong tissue adaptations. Avian feather follicles, with their resident stem cells and capacity for cyclic regeneration, provide a dynamic model for postnatal tissue remodeling. Here, we propose the Mandarin duck (Aix galericulata) as an ideal model to study lifelong developmental modulation, focusing on the sexually dimorphic "sail feather"-a secondary flight feather in males that undergoes seasonal transformation into a strikingly asymmetric, ornamented phenotype during the breeding season. We identified asymmetric morphogen expression in regenerating male sail feathers and used transcriptome and H3K27ac ChIP-seq to uncover male and female signaling pathways and regulatory elements. …

Insights, Opportunities, And Challenges Provided By Large Cell Atlases, Martin Hemberg, Federico Marini, Shila Ghazanfar, Ahmad Al Ajami, Najla Abassi, Benedict Anchang, Bérénice A Benayoun, Yue Cao, Ken Chen, Yesid Cuesta-Astroz, Zachary Debruine, Calliope A Dendrou, Iwijn De Vlaminck, Katharina Imkeller, Ilya Korsunsky, Alex R Lederer, Jessica Jingyi Li, Pieter Meysman, Clint L Miller, Kerry A Mullan, Uwe Ohler, Pratibha Panwar, Nikolaos Patikas, Jonas Schuck, Jacqueline H Y Siu, Timothy J Triche, Alex Tsankov, Sander W Van Der Laan, Masanao Yajima, Jean Yang, Fabio Zanini, Ivana Jelic

Faculty, Staff and Student Publications

The field of single-cell biology is growing rapidly, generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal, and DISCO allow researchers to access large volumes of curated datasets, including more than just scRNA-seq data. These resources have created an opportunity to build and expand the computational biology ecosystem to develop tools necessary for data reuse and for extracting novel biological insights. We highlight achievements made so far, areas where further development is needed, and specific challenges that need to be overcome.

Dna Methylation And Machine Learning: Challenges And Perspective Toward Enhanced Clinical Diagnostics, Erfan Aref-Eshghi, Arash B Abadi, Mohammad-Erfan Farhadieh, Amirreza Hooshmand, Fatemeh Ghasemi, Leila Youssefian, Hassan Vahidnezhad, Taylor Martin Kerrins, Xiaonan Zhao, Mahdi Akbarzadeh, Hakon Hakonarson, Amir Hossein Saeidian

Faculty, Staff and Students Publications

DNA methylation is an epigenetic modification that regulates gene expression by adding methyl groups to DNA, affecting cellular function and disease development. Machine learning, a subset of artificial intelligence, analyzes large datasets to identify patterns and make predictions. Over the past two decades, advances in bioinformatics technologies for arrays and sequencing have generated vast amounts of data, leading to the widespread adoption of machine learning methods for analyzing complex biological information for medical problems. This review explores recent advancements in DNA methylation studies that leverage emerging machine learning techniques for more precise, comprehensive, and rapid patient diagnostics based on DNA …

Germline Determinants Of Toxicity And Efficacy In Patients With Large B-Cell Lymphoma Treated With Car T-Cell Therapy, Paolo Strati, Amanda Brandt, Anath C Lionel, Jared Henderson, Jason R Westin, Sherry Adkins, Elizabeth J Shpall, Partow Kebriaei, Jeremy Ramdial, Neeraj Saini, Sairah Ahmed, Christopher Flowers, Sattva S Neelapu, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

Background: Recent data have suggested that germline genetic aberrations can affect outcomes in patients with large B-cell lymphoma (LBCL) treated with chimeric antigen receptor T-cell therapy (CART). However, a comprehensive analysis of germline determinants of response and toxicity after CART has not yet been described.

Methods: Genome-wide genotyping was performed in 170 patients with LBCL treated with standard of care axicabtagene ciloleucel. Polygenic risk score instruments for blood cell traits and inflammatory markers were obtained from the PGS Catalog and analyzed using PRSice-2. Exploratory gene-based and genome-wide association study analyses were performed. Genetic ancestry of the patients with LBCL was …

Improved Allele Frequencies In Gnomad Through Local Ancestry Inference, Pragati Kore, Michael W Wilson, Grace Tiao, Katherine Chao, Philip W Darnowsky, Nicholas A Watts, Jessica Honorato Mauer, Samantha M Baxter, Genome Aggregation Database Consortium, Heidi L Rehm, Mark J Daly, Konrad J Karczewski, Elizabeth G Atkinson

Faculty, Staff and Students Publications

The Genome Aggregation Database (gnomAD) is a foundational resource for allele frequency data, widely used in genomic research and clinical interpretation. However, traditional estimates rely on individual-level genetic ancestry groupings that may obscure variation in recently admixed populations. To improve resolution, we applied local ancestry inference (LAI) to over 27 million variants in two admixed groups: Admixed American (n = 7612) and African/African American (n = 20,250), deriving ancestry-specific allele frequencies. We show that 78.5% and 85.1% of variants in these groups, respectively, exhibit at least a twofold difference in ancestry-specific frequencies. Moreover, 81.49% of variants with LAI information would …

The Effect Of Tert Promoter Mutation On Predicting Meningioma Outcomes: A Multi-Institutional Cohort Analysis, Karenna J Groff, Ruchit V Patel, Yang Feng, Hia S Ghosh, Miguel A Millares Chavez, Joseph O'Brien, William C Chen, Vijay Nitturi, Akshay V Save, Mark W Youngblood, Craig M Horbinski, James P Chandler, Felix Ehret, Chloe Gui, Justin Z Wang, Kristen Park, Sonia Ajmera, Marc Rosenblum, Abigail K Suwala, Catena Kresbach, Christopher W Mount, Ulrich Schüller, Sandro Santagata, Felix Sahm, Tejus A Bale, Christina Jackson, Timothy E Richardson, Chunyu Cai, Farshad Nassiri, Gelareh Zadeh, David Kaul, David Capper, Stephen T Magill, John G Golfinos, Chandra Sen, Akash J Patel, David R Raleigh, Jennifer Moliterno, Donato Pacione, Matija Snuderl, Wenya Linda Bi

Duncan NRI Faculty and Staff Publications

Background: Molecular aberrations have been incorporated into tumour classification guidelines of meningioma. TERT-promoter (TERTp) mutation is associated with worse prognosis and is designated a WHO grade 3 biomarker. However, it remains unclear whether TERTp mutation is context-dependent, with other co-occurring genetic alterations potentially driving its association with prognosis. We sought to characterise the role of TERTp mutation in meningioma and guide TERTp sequencing.

Methods: We identified 1492 patients of all ages who had previously received surgery for meningioma across 14 medical centres in the USA, Canada, and Germany. Patients were eligible if they had post-surgical clinical or radiographical assessment of …

Dna Methylation Cooperates With Genomic Alterations During Non-Small Cell Lung Cancer Evolution, Francisco Gimeno-Valiente, Carla Castignani, Elizabeth Larose Cadieux, Nana E Mensah, Xiaohong Liu, Kezhong Chen, Olga Chervova, Takahiro Karasaki, Clare E Weeden, Corentin Richard, Siqi Lai, Carlos Martínez-Ruiz, Emilia L Lim, Alexander M Frankell, Thomas B K Watkins, Georgia Stavrou, Ieva Usaite, Wei-Ting Lu, Daniele Marinelli, Sadegh Saghafinia, Gareth A Wilson, Pawan Dhami, Heli Vaikkinen, Jonathan Steif, Selvaraju Veeriah, Robert E Hynds, Martin Hirst, Crispin Hiley, Andrew Feber, Özgen Deniz, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Tracerx Consortium, Stephan Beck, Jonas Demeulemeester, Miljana Tanić, Charles Swanton, Peter Van Loo, Nnennaya Kanu

Faculty, Staff and Student Publications

Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data. Intratumoral methylation distance quantifies intratumor DNA methylation heterogeneity. MR/MN classifies genes based on the rate of hypermethylation at regulatory (MR) versus nonregulatory (MN) CpGs to identify driver genes exhibiting recurrent functional …

Computational Analysis Of Dna Methylation From Long-Read Sequencing, Yilei Fu, Winston Timp, Fritz J Sedlazeck

Faculty, Staff and Students Publications

DNA methylation is a critical epigenetic mechanism in numerous biological processes, including gene regulation, development, ageing and the onset of various diseases such as cancer. Studies of methylation are increasingly using single-molecule long-read sequencing technologies to simultaneously measure epigenetic states such as DNA methylation with genomic variation. These long-read data sets have spurred the continuous development of advanced computational methods to gain insights into the roles of methylation in regulating chromatin structure and gene regulation. In this Review, we discuss the computational methods for calling methylation signals, contrasting methylation between samples, analysing cell-type diversity and gaining additional genomic insights, and …

Β-Catenin Functions As A Molecular Adapter For Disordered Cbaf Interactions, Yuen San Chan, Qinyu Gao, Sarah A Robinson, Wenzhi Wang, Ruzena Filandrova, Lisa-Maria Weinhold, Mario Loeza Cabrera, Miao Zhang, Chandra Shekar R Ambati, Antonio M Lerario, Nagireddy Putluri, Katja Kiseljak-Vassiliades, Margaret E Wierman, Mouhammed Amir Habra, Gary D Hammer, Vaclav Veverka, Katerina Cermakova, H Courtney Hodges

Faculty, Staff and Students Publications

BAF (SWI/SNF) chromatin remodelers engage binding partners to generate site-specific DNA accessibility. However, the basis for interaction between BAF and divergent binding partners has remained unclear. Here, we tested the hypothesis that scaffold proteins augment BAF's binding repertoire by examining β-catenin (CTNNB1) and steroidogenic factor 1 (SF-1, NR5A1), a transcription factor central to steroid production in human cells. BAF inhibition rapidly opposed SF-1/β-catenin enhancer occupancy, impairing SF-1 target activation and SF-1/β-catenin autoregulation. These effects arise due to β-catenin's role as a molecular adapter between SF-1 and an intrinsically disordered region (IDR) of the canonical BAF (cBAF) subunit ARID1A. In contrast …

Assessing The Muc5b Promoter Variant In A Large Cohort Of Systemic Sclerosis-Associated Interstitial Lung Disease, Carlos Rosa-Baez, Carlos Rangel-Pelaez, Inmaculada Rodriguez-Martin, Martin Kerick, Alfredo Guillen-Del-Castillo, Carmen P Simeon-Aznar, José Luis Callejas, Alexandre E Voskuyl, Alexander Kreuter, Oliver Distler, Susanna M Proudman, Mandana Nikpour, Nicolas Hunzelmann, Jeska K De Vries-Bouwstra, Ariane L Herrick, Yannick Allanore, Lorenzo Beretta, Maureen D Mayes, Christopher P Denton, Shervin Assassi, Javier Martin, Marialbert Acosta-Herrera

Faculty, Staff and Student Publications

Objective: The common gain-of-function variant rs35705950, located in the promoter of MUC5B gene, has been strongly associated with interstitial lung diseases (ILDs) of different aetiology, such as idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis-associated ILD (RA-ILD). In this study, we aimed to investigate the association of this variant and its nearby single nucleotide polymorphisms (SNPs) in the largest cohort of systemic sclerosis-associated ILD (SSc-ILD) to date.

Methods: Samples were collected from blood/saliva, followed by DNA extraction and genotyping using SNP arrays. Data for rs35705950 and additional 903 variants within 100 Kb were obtained using genomic imputation. Subsequently, we tested their …

Tert Promoter Mutations And Survival Outcomes In Adult-Type Granulosa Cell Tumors, Allison L Brodsky, Alejandra Flores Legarreta, Bryan M Fellman, Deanna Glassman, Jeffrey How, Veena Vuttaradhi, Anil K Sood, Lois Michelle Ramondetta, David Gershenson, R Tyler Hillman

Faculty, Staff and Student Publications

Objectives: To evaluate survival outcomes among patients with adult-type granulosa cell tumors who have telomerase reverse transcriptase (TERT) promoter mutations.

Methods: This is a retrospective cohort study using the MD Anderson Rare Gynecologic Malignancy Registry. Patients with adult granulosa cell tumors who underwent molecular testing for TERT promoter and FOXL2 c.C402G mutations were included. We used descriptive statistics to compare demographic and clinical variables and estimated progression-free and overall survival with Kaplan-Meier curves. Cox proportional hazards regression and log-rank tests were employed for comparisons, with multivariable analyses adjusting for various factors.

Results: Among 70 patients, 28 (40%) had TERT+ tumors. …