Medical Genetics Commons^™

International Delphi Consensus Guidelines For Follow-Up After Prophylactic Total Gastrectomy: The Life After Prophylactic Total Gastrectomy (Lap-Tg) Study, Geoffrey Roberts, Patrick R Benusiglio, Tanya Bisseling, Daniel Coit, Jeremy L Davis, Sam Grimes, Theresa A Guise, Richard Hardwick, Kirsty Harris, Paul Furman Mansfield, Jeremy Rossaak, Karen Chelcun Schreiber, Peter P Stanich, Vivian E Strong, Pardeep Kaurah

Faculty, Staff and Student Publications

Background: Prophylactic total gastrectomy (PTG) remains the only means of preventing gastric cancer for people with genetic mutations predisposing to Hereditary Diffuse Gastric Cancer (HDGC), mainly in the CDH1 gene. The small but growing cohort of people undergoing PTG at a young age are expected to have a life-expectancy close to the general population, however, knowledge of the long-term effects of, and monitoring requirements after, PTG is limited. This study aims to define the standard of care for follow-up after PTG.

Methods: Through a combination of literature review and two-round Delphi consensus of major HDGC/PTG units and physicians, and patient …

Validation Of Cancer-Type-Dependent Benefit From Immune Checkpoint Blockade In Tmb-H Tumors Identified By The Foundationone Cdx Assay, D J Mcgrail, P G Pilié, N U Rashid, L Voorwerk, M Slagter, M Kok, E Jonasch, M Khasraw, A B Heimberger, N T Ueno, R Ferrarotto, J T Chang, S-Y Lin

Faculty, Staff and Student Publications

No abstract provided.

An Automated Treatment Planning Framework For Spinal Radiation Therapy And Vertebral-Level Second Check, Tucker J Netherton, Callistus Nguyen, Carlos E Cardenas, Caroline Chung, Ann H Klopp, Lauren E Colbert, Dong Joo Rhee, Christine B Peterson, Rebecca Howell, Peter Balter, Laurence E Court

Faculty, Staff and Student Publications

Purpose: Complicating factors such as time pressures, anatomic variants in the spine, and similarities in adjacent vertebrae are associated with incorrect level treatments of the spine. The purpose of this work was to mitigate such challenges by fully automating the treatment planning process for diagnostic and simulation computed tomography (CT) scans.

Methods and materials: Vertebral bodies are labeled on CT scans of any length using 2 intendent deep-learning models-mirroring 2 different experts labeling the spine. Then, a U-Net++ architecture was trained, validated, and tested to contour each vertebra (n = 220 CT scans). Features from the CT and auto-contours were …

Magnetic Resonance-Guided Radiation Therapy For Head And Neck Cancers, Danny Lavigne, Sweet Ping Ng, Brian O'Sullivan, Phuc Felix Nguyen-Tan, Edith Filion, Laurent Létourneau-Guillon, Clifton D Fuller, Houda Bahig

Faculty, Staff and Student Publications

Despite the significant evolution of radiation therapy (RT) techniques in recent years, many patients with head and neck cancer still experience significant toxicities during and after treatments. The increased soft tissue contrast and functional sequences of magnetic resonance imaging (MRI) are particularly attractive in head and neck cancer and have led to the increasing development of magnetic resonance-guided RT (MRgRT). This approach refers to the inclusion of the additional information acquired from a diagnostic or planning MRI in radiation treatment planning, and now extends to online high-quality daily imaging generated by the recently developed MR-Linac. MRgRT holds numerous potentials, including …

Proteo-Genomic Characterization Of Virus-Associated Liver Cancers Reveals Potential Subtypes And Therapeutic Targets, Masashi Fujita, Mei-Ju May Chen, Doris Rieko Siwak, Shota Sasagawa, Ayako Oosawa-Tatsuguchi, Koji Arihiro, Atsushi Ono, Ryoichi Miura, Kazuhiro Maejima, Hiroshi Aikata, Masaki Ueno, Shinya Hayami, Hiroki Yamaue, Kazuaki Chayama, Ju-Seog Lee, Yiling Lu, Gordon B Mills, Han Liang, Satoshi S Nishizuka, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Primary liver cancer is a heterogeneous disease in terms of its etiology, histology, and therapeutic response. Concurrent proteomic and genomic characterization of a large set of clinical liver cancer samples can help elucidate the molecular basis of heterogeneity and thus serve as a valuable resource for personalized liver cancer treatment. In this study, we perform proteomic profiling of ~300 proteins on 259 primary liver cancer tissues with reverse-phase protein arrays, mutational analysis using whole genome sequencing and transcriptional analysis with RNA-Seq. Patients are of Japanese ethnic background and mainly HBV or HCV positive, providing insight into this important liver cancer …

Systematic Analysis Of Mobile Genetic Elements Mediating Β-Lactamase Gene Amplification In Noncarbapenemase-Producing Carbapenem-Resistant Enterobacterales Bloodstream Infections, W C Shropshire, A Konovalova, P Mcdaneld, M Gohel, B Strope, P Sahasrabhojane, C N Tran, D Greenberg, J Kim, X Zhan, S Aitken, M Bhatti, T C Savidge, T J Treangen, B M Hanson, C A Arias, S A Shelburne

Faculty, Staff and Student Publications

Noncarbapenemase-producing carbapenem-resistant Enterobacterales (non-CP-CRE) are increasingly recognized as important contributors to prevalent carbapenem-resistant Enterobacterales (CRE) infections. However, there is limited understanding of mechanisms underlying non-CP-CRE causing invasive disease. Long- and short-read whole-genome sequencing was used to elucidate carbapenem nonsusceptibility determinants in Enterobacterales bloodstream isolates at MD Anderson Cancer Center in Houston, Texas. We investigated carbapenem nonsusceptible Enterobacterales (CNSE) mechanisms (i.e., isolates with carbapenem intermediate resistance phenotypes or greater) through a combination of phylogenetic analysis, antimicrobial resistance gene detection/copy number quantification, porin assessment, and mobile genetic element (MGE) characterization. Most CNSE isolates sequenced were non-CP-CRE (41/79; 51.9%), whereas 25.3% (20/79) were …

Yap And Taz Promote Osteogenesis And Prevent Chondrogenesis In Neural Crest Cells In Vitro And In Vivo, Xiaolei Zhao, Li Tang, Tram P Le, Bao H Nguyen, Wen Chen, Mingjie Zheng, Hiroyuki Yamaguchi, Brian Dawson, Shuangjie You, Idaliz M Martinez-Traverso, Shannon Erhardt, Jianxin Wang, Min Li, James F Martin, Brendan H Lee, Yoshihiro Komatsu, Jun Wang

Faculty, Staff and Student Publications

Neural crest cells (NCCs) are multipotent stem cells that can differentiate into multiple cell types, including the osteoblasts and chondrocytes, and constitute the majority of the craniofacial skeleton. Here, we show through in vitro and in vivo studies that the transcriptional regulators Yap and Taz have redundant functions as key determinants of the specification and differentiation of NCCs into osteoblasts or chondrocytes. Primary and cultured NCCs deficient in Yap and Taz switched from osteogenesis to chondrogenesis, and NCC-specific deficiency for Yap and Taz resulted in bone loss and ectopic cartilage in mice. Yap bound to the regulatory elements of key …

Biomarkers Beyond Brca: Promising Combinatorial Treatment Strategies In Overcoming Resistance To Parp Inhibitors, Yu-Yi Chu, Clinton Yam, Hirohito Yamaguchi, Mien-Chie Hung

Faculty, Staff and Student Publications

Poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi) exploit the concept of synthetic lethality and offer great promise in the treatment of tumors with deficiencies in homologous recombination (HR) repair. PARPi exert antitumor activity by blocking Poly(ADP-ribosyl)ation (PARylation) and trapping PARP1 on damaged DNA. To date, the U.S. Food and Drug Administration (FDA) has approved four PARPi for the treatment of several cancer types including ovarian, breast, pancreatic and prostate cancer. Although patients with HR-deficient tumors benefit from PARPi, majority of tumors ultimately develop acquired resistance to PARPi. Furthermore, even though BRCA1/2 mutations are commonly used as markers of PARPi sensitivity in …

Summit: An Integrative Approach For Better Transcriptomic Data Imputation Improves Causal Gene Identification, Zichen Zhang, Ye Eun Bae, Jonathan R Bradley, Lang Wu, Chong Wu

Faculty, Staff and Student Publications

Genes with moderate to low expression heritability may explain a large proportion of complex trait etiology, but such genes cannot be sufficiently captured in conventional transcriptome-wide association studies (TWASs), partly due to the relatively small available reference datasets for developing expression genetic prediction models to capture the moderate to low genetically regulated components of gene expression. Here, we introduce a method, the Summary-level Unified Method for Modeling Integrated Transcriptome (SUMMIT), to improve the expression prediction model accuracy and the power of TWAS by using a large expression quantitative trait loci (eQTL) summary-level dataset. We apply SUMMIT to the eQTL summary-level …

Estimating The Optimal Linear Combination Of Predictors Using Spherically Constrained Optimization, Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A Hutcheson, Clifton D Fuller, Bibhas Chakraborty, Christine B Peterson

Faculty, Staff and Student Publications

Background: In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve. For ordinal responses, the optimal predictor combination can similarly be obtained by maximization of the hypervolume under the manifold (HUM). Since the empirical HUM is discontinuous, non-differentiable, and possibly multi-modal, solving this maximization problem requires a global optimization technique. Estimation of the optimal coefficient vector using existing global optimization techniques is computationally expensive, becoming prohibitive as the number of predictors and the number of outcome categories increases.

Results: We propose an …

Scgwas: Landscape Of Trait-Cell Type Associations By Integrating Single-Cell Transcriptomics-Wide And Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data presents unique opportunities to decode the genetically mediated cell-type specificity in complex diseases. Here, we develop a new method, scGWAS, which effectively leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes.

RESULTS: scGWAS only utilizes the average gene expression for each cell type followed by virtual search processes to construct the null distributions of module scores, making it scalable to large scRNA-seq datasets. We demonstrated scGWAS in …

Federated Learning Algorithms For Generalized Mixed-Effects Model (Glmm) On Horizontally Partitioned Data From Distributed Sources, Wentao Li, Jiayi Tong, Md Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang

Faculty, Staff and Student Publications

OBJECTIVES: This paper developed federated solutions based on two approximation algorithms to achieve federated generalized linear mixed effect models (GLMM). The paper also proposed a solution for numerical errors and singularity issues. And showed the two proposed methods can perform well in revealing the significance of parameter in distributed datasets, comparing to a centralized GLMM algorithm from R package ('lme4') as the baseline model.

METHODS: The log-likelihood function of GLMM is approximated by two numerical methods (Laplace approximation and Gaussian Hermite approximation, abbreviated as LA and GH), which supports federated decomposition of GLMM to bring computation to data. To solve …

Whole Genome Sequence Analysis Of Blood Lipid Levels In >66,000 Individuals, Margaret Sunitha Selvaraj, Xihao Li, Zilin Li, Akhil Pampana, David Y Zhang, Joseph Park, Stella Aslibekyan, Joshua C Bis, Jennifer A Brody, Brian E Cade, Lee-Ming Chuang, Ren-Hua Chung, Joanne E Curran, Lisa De Las Fuentes, Paul S De Vries, Ravindranath Duggirala, Barry I Freedman, Mariaelisa Graff, Xiuqing Guo, Nancy Heard-Costa, Bertha Hidalgo, Chii-Min Hwu, Marguerite R Irvin, Tanika N Kelly, Brian G Kral, Leslie Lange, Xiaohui Li, Martin Lisa, Steven A Lubitz, Ani W Manichaikul, Preuss Michael, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Muagututia S Reupena, Jennifer A Smith, Xiao Sun, Kent D Taylor, Russell P Tracy, Michael Y Tsai, Zhe Wang, Yuxuan Wang, Wei Bao, John T Wilkins, Lisa R Yanek, Wei Zhao, Donna K Arnett, John Blangero, Eric Boerwinkle, Donald W Bowden, Yii-Der Ida Chen, Adolfo Correa, L Adrienne Cupples, Susan K Dutcher, Patrick T Ellinor, Myriam Fornage, Stacey Gabriel, Soren Germer, Richard Gibbs, Jiang He, Robert C Kaplan, Sharon L R Kardia, Ryan Kim, Charles Kooperberg, Ruth J F Loos, Karine A Viaud-Martinez, Rasika A Mathias, Stephen T Mcgarvey, Braxton D Mitchell, Deborah Nickerson, Kari E North, Bruce M Psaty, Susan Redline, Alexander P Reiner, Ramachandran S Vasan, Stephen S Rich, Cristen Willer, Jerome I Rotter, Daniel J Rader, Xihong Lin, Gina M Peloso, Pradeep Natarajan

Faculty, Staff and Student Publications

Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid …

Evolution And Modulation Of Antigen-Specific T Cell Responses In Melanoma Patients, Jani Huuhtanen, Liang Chen, Emmi Jokinen, Henna Kasanen, Tapio Lönnberg, Anna Kreutzman, Katriina Peltola, Micaela Hernberg, Chunlin Wang, Cassian Yee, Harri Lähdesmäki, Mark M Davis, Satu Mustjoki

Faculty, Staff and Student Publications

Analyzing antigen-specific T cell responses at scale has been challenging. Here, we analyze three types of T cell receptor (TCR) repertoire data (antigen-specific TCRs, TCR-repertoire, and single-cell RNA + TCRαβ-sequencing data) from 515 patients with primary or metastatic melanoma and compare it to 783 healthy controls. Although melanoma-associated antigen (MAA) -specific TCRs are restricted to individuals, they share sequence similarities that allow us to build classifiers for predicting anti-MAA T cells. The frequency of anti-MAA T cells distinguishes melanoma patients from healthy and predicts metastatic recurrence from primary melanoma. Anti-MAA T cells have stem-like properties and frequent interactions with regulatory …

Metarnn: Differentiating Rare Pathogenic And Rare Benign Missense Snvs And Indels Using Deep Learning, Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu

Faculty, Staff and Student Publications

Multiple computational approaches have been developed to improve our understanding of genetic variants. However, their ability to identify rare pathogenic variants from rare benign ones is still lacking. Using context annotations and deep learning methods, we present pathogenicity prediction models, MetaRNN and MetaRNN-indel, to help identify and prioritize rare nonsynonymous single nucleotide variants (nsSNVs) and non-frameshift insertion/deletions (nfINDELs). We use independent test sets to demonstrate that these new models outperform state-of-the-art competitors and achieve a more interpretable score distribution. Importantly, prediction scores from both models are comparable, enabling easy adoption of integrated genotype-phenotype association analysis methods. All pre-computed nsSNV scores …

Risk Factors For Thoracic Aortic Dissection, Zhen Zhou, Alana C Cecchi, Siddharth K Prakash, Dianna M Milewicz

Faculty, Staff and Student Publications

Thoracic aortic aneurysms involving the root and/or the ascending aorta enlarge over time until an acute tear in the intimal layer leads to a highly fatal condition, an acute aortic dissection (AAD). These Stanford type A AADs, in which the tear occurs above the sinotubular junction, leading to the formation of a false lumen in the aortic wall that may extend to the arch and thoracoabdominal aorta. Type B AADs originate in the descending thoracic aorta just distal to the left subclavian artery. Genetic variants and various environmental conditions that disrupt the aortic wall integrity have been identified that increase …

Critical Role Of Lncepat In Coupling Dysregulated Egfr Pathway And Histone H2a Deubiquitination During Glioblastoma Tumorigenesis, Linlin Li, Aidong Zhou, Yanjun Wei, Feng Liu, Peng Li, Runping Fang, Li Ma, Sicong Zhang, Longqiang Wang, Jinze Liu, Hope T Richard, Yiwen Chen, Hengbin Wang, Suyun Huang

Faculty, Staff and Student Publications

Histone 2A (H2A) monoubiquitination is a fundamental epigenetics mechanism of gene expression, which plays a critical role in regulating cell fate. However, it is unknown if H2A ubiquitination is involved in EGFR-driven tumorigenesis. In the current study, we have characterized a previously unidentified oncogenic lncRNA (lncEPAT) that mediates the integration of the dysregulated EGFR pathway with H2A deubiquitination in tumorigenesis. LncEPAT was induced by the EGFR pathway, and high-level lncEPAT expression positively correlated with the glioma grade and predicted poor survival of glioma patients. Mass spectrometry analyses revealed that lncEPAT specifically interacted with deubiquitinase USP16. LncEPAT inhibited USP16's recruitment to …

Complement Component C4 Structural Variation And Quantitative Traits Contribute To Sex-Biased Vulnerability In Systemic Sclerosis, Martin Kerick, Marialbert Acosta-Herrera, Carmen Pilar Simeón-Aznar, José Luis Callejas, Shervin Assassi, Susanna M Proudman, Mandana Nikpour, Nicolas Hunzelmann, Gianluca Moroncini, Jeska K De Vries-Bouwstra, Gisela Orozco, Anne Barton, Ariane L Herrick, Chikashi Terao, Yannick Allanore, Carmen Fonseca, Marta Eugenia Alarcón-Riquelme, Timothy R D J Radstake, Lorenzo Beretta, Christopher P Denton, Maureen D Mayes, Javier Martin

Faculty, Staff and Student Publications

Copy number (CN) polymorphisms of complement C4 play distinct roles in many conditions, including immune-mediated diseases. We investigated the association of C4 CN with systemic sclerosis (SSc) risk. Imputed total C4, C4A, C4B, and HERV-K CN were analyzed in 26,633 individuals and validated in an independent cohort. Our results showed that higher C4 CN confers protection to SSc, and deviations from CN parity of C4A and C4B augmented risk. The protection contributed per copy of C4A and C4B differed by sex. Stronger protection was afforded by C4A in men and by C4B in women. C4 CN correlated well with its …

Single-Cell Transcriptomic Profiling Reveals The Tumor Heterogeneity Of Small-Cell Lung Cancer, Yanhua Tian, Qingqing Li, Zhenlin Yang, Shu Zhang, Jiachen Xu, Zhijie Wang, Hua Bai, Jianchun Duan, Bo Zheng, Wen Li, Yueli Cui, Xin Wang, Rui Wan, Kailun Fei, Jia Zhong, Shugeng Gao, Jie He, Carl M Gay, Jianjun Zhang, Jie Wang, Fuchou Tang

Faculty, Staff and Student Publications

Small-cell lung cancer (SCLC) is the most aggressive and lethal subtype of lung cancer, for which, better understandings of its biology are urgently needed. Single-cell sequencing technologies provide an opportunity to profile individual cells within the tumor microenvironment (TME) and investigate their roles in tumorigenic processes. Here, we performed high-precision single-cell transcriptomic analysis of ~5000 individual cells from primary tumors (PTs) and matched normal adjacent tissues (NATs) from 11 SCLC patients, including one patient with both PT and relapsed tumor (RT). The comparison revealed an immunosuppressive landscape of human SCLC. Malignant cells in SCLC tumors exhibited diverse states mainly related …

The Boring Schwann Cells: Tumor Me-Tast-Asis Along Nerves, Moran Amit, Anirban Maitra

Faculty, Staff and Student Publications

Perineural spread is an ominous feature of cancer. Here, Deborde and colleagues describe for the first time the biophysical coupling driving this route of tumor spread and the role of Schwann cell activation in the mobilization of cancer cells within and along the tumor-associated nerves. See related article by Deborde et al., p. 2454 (8).

Biophysics Of Cancer, Alemayehu A Gorfe

Faculty, Staff and Student Publications

No abstract provided.

Family Planning, Fertility, And Career Decisions Among Female Oncologists, Anna Lee, Aleksandra Kuczmarska-Haas, Shraddha M Dalwadi, Erin F Gillespie, Michelle S Ludwig, Emma B Holliday, Fumiko Chino

Faculty, Staff and Student Publications

Importance: Female oncologists often spend their childbearing years in training and establishing careers, with many later experiencing fertility issues when starting a family. Physician fertility and family planning are rarely discussed during training. Attitudes among female oncologists regarding family planning are unknown.

Objectives: To understand barriers to family planning as well as the association of fertility treatment with career decisions and to assess experiences of pregnancy-based discrimination among female oncologists.

Design, setting, and participants: In this survey study, a novel 39-item questionnaire was distributed to US female oncologists from May 7 to June 30, 2020, via email and social media …

Egfr Suppresses P53 Function By Promoting P53 Binding To Dna-Pkcs: A Noncanonical Regulatory Axis Between Egfr And Wild-Type P53 In Glioblastoma, Jie Ding, Xiaolong Li, Sabbir Khan, Chen Zhang, Feng Gao, Shayak Sen, Amanda R Wasylishen, Yang Zhao, Guillermina Lozano, Dimpy Koul, W K Alfred Yung

Faculty, Staff and Student Publications

Background: Epidermal growth factor receptor (EGFR) amplification and TP53 mutation are the two most common genetic alterations in glioblastoma multiforme (GBM). A comprehensive analysis of the TCGA GBM database revealed a subgroup with near mutual exclusivity of EGFR amplification and TP53 mutations indicative of a role of EGFR in regulating wild-type-p53 (wt-p53) function. The relationship between EGFR amplification and wt-p53 function remains undefined and this study describes the biological significance of this interaction in GBM.

Methods: Mass spectrometry was used to identify EGFR-dependent p53-interacting proteins. The p53 and DNA-dependent protein kinase catalytic subunit (DNA-PKcs) interaction was detected by co-immunoprecipitation. We …

Impact Of Treatment Modality On Pelvic Floor Dysfunction Among Uterine Cancer Survivors, David S Lakomy, Alison K Yoder, Juliana Wu, Mike Hernandez, Martins Ayoola-Adeola, Anuja Jhingran, Ann Klopp, Pamela Soliman, Susan K Peterson, Lilie L Lin

Faculty, Staff and Student Publications

Objective: Pelvic floor dysfunction is a common adverse effect of uterine cancer treatment. In this study we compared patient-reported outcomes regarding pelvic floor dysfunction among uterine cancer survivors after hysterectomy and bilateral salpingo-oophorectomy, surgery and brachytherapy, or surgery and external beam radiotherapy with or without brachytherapy versus women who had a hysterectomy for benign indications.

Methods: We used the validated 20-item Pelvic Floor Distress Inventory to assess lower urinary distress, colorectal distress, and pelvic organ prolapse dysfunction in each treatment group. Pelvic floor dysfunction-related quality of life in these domains was compared across treatment modalities using the Pelvic Floor Impact …

A Saturated Map Of Common Genetic Variants Associated With Human Height, Loïc Yengo, Sailaja Vedantam, Eirini Marouli, Julia Sidorenko, Eric Bartell, Saori Sakaue, Marielisa Graff, Anders U Eliasen, Yunxuan Jiang, Sridharan Raghavan, Jenkai Miao, Joshua D Arias, Sarah E Graham, Ronen E Mukamel, Cassandra N Spracklen, Xianyong Yin, Shyh-Huei Chen, Teresa Ferreira, Heather H Highland, Yingjie Ji, Tugce Karaderi, Kuang Lin, Kreete Lüll, Deborah E Malden, Carolina Medina-Gomez, Moara Machado, Amy Moore, Sina Rüeger, Xueling Sim, Scott Vrieze, Tarunveer S Ahluwalia, Masato Akiyama, Matthew A Allison, Marcus Alvarez, Mette K Andersen, Alireza Ani, Vivek Appadurai, Liubov Arbeeva, Seema Bhaskar, Lawrence F Bielak, Sailalitha Bollepalli, Lori L Bonnycastle, Jette Bork-Jensen, Jonathan P Bradfield, Yuki Bradford, Peter S Braund, Jennifer A Brody, Kristoffer S Burgdorf, Brian E Cade, Hui Cai, Qiuyin Cai, Archie Campbell, Marisa Cañadas-Garre, Eulalia Catamo, Jin-Fang Chai, Xiaoran Chai, Li-Ching Chang, Yi-Cheng Chang, Chien-Hsiun Chen, Alessandra Chesi, Seung Hoan Choi, Ren-Hua Chung, Massimiliano Cocca, Maria Pina Concas, Christian Couture, Gabriel Cuellar-Partida, Rebecca Danning, E Warwick Daw, Frauke Degenhard, Graciela E Delgado, Alessandro Delitala, Ayse Demirkan, Xuan Deng, Poornima Devineni, Alexander Dietl, Maria Dimitriou, Latchezar Dimitrov, Rajkumar Dorajoo, Arif B Ekici, Jorgen E Engmann, Zammy Fairhurst-Hunter, Aliki-Eleni Farmaki, Jessica D Faul, Juan-Carlos Fernandez-Lopez, Lukas Forer, Margherita Francescatto, Sandra Freitag-Wolf, Christian Fuchsberger, Tessel E Galesloot, Yan Gao, Zishan Gao, Frank Geller, Olga Giannakopoulou, Franco Giulianini, Anette P Gjesing, Anuj Goel, Scott D Gordon, Mathias Gorski, Jakob Grove, Xiuqing Guo, Stefan Gustafsson, Jeffrey Haessler, Thomas F Hansen, Aki S Havulinna, Simon J Haworth, Jing He, Nancy Heard-Costa, Prashantha Hebbar, George Hindy, Yuk-Lam A Ho, Edith Hofer, Elizabeth Holliday, Katrin Horn, Whitney E Hornsby, Jouke-Jan Hottenga, Hongyan Huang, Jie Huang, Alicia Huerta-Chagoya, Jennifer E Huffman, Yi-Jen Hung, Shaofeng Huo, Mi Yeong Hwang, Hiroyuki Iha, Daisuke D Ikeda, Masato Isono, Anne U Jackson, Susanne Jäger, Iris E Jansen, Ingegerd Johansson, Jost B Jonas, Anna Jonsson, Torben Jørgensen, Ioanna-Panagiota Kalafati, Masahiro Kanai, Stavroula Kanoni, Line L Kårhus, Anuradhani Kasturiratne, Tomohiro Katsuya, Takahisa Kawaguchi, Rachel L Kember, Katherine A Kentistou, Han-Na Kim, Young Jin Kim, Marcus E Kleber, Maria J Knol, Azra Kurbasic, Marie Lauzon, Phuong Le, Rodney Lea, Jong-Young Lee, Hampton L Leonard, Shengchao A Li, Xiaohui Li, Xiaoyin Li, Jingjing Liang, Honghuang Lin, Shih-Yi Lin, Jun Liu, Xueping Liu, Ken Sin Lo, Jirong Long, Laura Lores-Motta, Jian'an Luan, Valeriya Lyssenko, Leo-Pekka Lyytikäinen, Anubha Mahajan, Vasiliki Mamakou, Massimo Mangino, Ani Manichaikul, Jonathan Marten, Manuel Mattheisen, Laven Mavarani, Aaron F Mcdaid, Karina Meidtner, Tori L Melendez, Josep M Mercader, Yuri Milaneschi, Jason E Miller, Iona Y Millwood, Pashupati P Mishra, Ruth E Mitchell, Line T Møllehave, Anna Morgan, Soeren Mucha, Matthias Munz, Masahiro Nakatochi, Christopher P Nelson, Maria Nethander, Chu Won Nho, Aneta A Nielsen, Ilja M Nolte, Suraj S Nongmaithem, Raymond Noordam, Ioanna Ntalla, Teresa Nutile, Anita Pandit, Paraskevi Christofidou, Katri Pärna, Marc Pauper, Eva R B Petersen, Liselotte V Petersen, Niina Pitkänen, Ozren Polašek, Alaitz Poveda, Michael H Preuss, Saiju Pyarajan, Laura M Raffield, Hiromi Rakugi, Julia Ramirez, Asif Rasheed, Dennis Raven, Nigel W Rayner, Carlos Riveros, Rebecca Rohde, Daniela Ruggiero, Sanni E Ruotsalainen, Kathleen A Ryan, Maria Sabater-Lleal, Richa Saxena, Markus Scholz, Anoop Sendamarai, Botong Shen, Jingchunzi Shi, Jae Hun Shin, Carlo Sidore, Colleen M Sitlani, Roderick C Slieker, Roelof A J Smit, Albert V Smith, Jennifer A Smith, Laura J Smyth, Lorraine Southam, Valgerdur Steinthorsdottir, Liang Sun, Fumihiko Takeuchi, Divya Sri Priyanka Tallapragada, Kent D Taylor, Bamidele O Tayo, Catherine Tcheandjieu, Natalie Terzikhan, Paola Tesolin, Alexander Teumer, Elizabeth Theusch, Deborah J Thompson, Gudmar Thorleifsson, Paul R H J Timmers, Stella Trompet, Constance Turman, Simona Vaccargiu, Sander W Van Der Laan, Peter J Van Der Most, Jan B Van Klinken, Jessica Van Setten, Shefali S Verma, Niek Verweij, Yogasudha Veturi, Carol A Wang, Chaolong Wang, Lihua Wang, Zhe Wang, Helen R Warren, Wen Bin Wei, Ananda R Wickremasinghe, Matthias Wielscher, Kerri L Wiggins, Bendik S Winsvold, Andrew Wong, Yang Wu, Matthias Wuttke, Rui Xia, Tian Xie, Ken Yamamoto, Jingyun Yang, Jie Yao, Hannah Young, Noha A Yousri, Lei Yu, Lingyao Zeng, Weihua Zhang, Xinyuan Zhang, Jing-Hua Zhao, Wei Zhao, Wei Zhou, Martina E Zimmermann, Magdalena Zoledziewska, Linda S Adair, Hieab H H Adams, Carlos A Aguilar-Salinas, Fahd Al-Mulla, Donna K Arnett, Folkert W Asselbergs, Bjørn Olav Åsvold, John Attia, Bernhard Banas, Stefania Bandinelli, David A Bennett, Tobias Bergler, Dwaipayan Bharadwaj, Ginevra Biino, Hans Bisgaard, Eric Boerwinkle, Carsten A Böger, Klaus Bønnelykke, Dorret I Boomsma, Anders D Børglum, Judith B Borja, Claude Bouchard, Donald W Bowden, Ivan Brandslund, Ben Brumpton, Julie E Buring, Mark J Caulfield, John C Chambers, Giriraj R Chandak, Stephen J Chanock, Nish Chaturvedi, Yii-Der Ida Chen, Zhengming Chen, Ching-Yu Cheng, Ingrid E Christophersen, Marina Ciullo, John W Cole, Francis S Collins, Richard S Cooper, Miguel Cruz, Francesco Cucca, L Adrienne Cupples, Michael J Cutler, Scott M Damrauer, Thomas M Dantoft, Gert J De Borst, Lisette C P G M De Groot, Philip L De Jager, Dominique P V De Kleijn, H Janaka De Silva, George V Dedoussis, Anneke I Den Hollander, Shufa Du, Douglas F Easton, Petra J M Elders, A Heather Eliassen, Patrick T Ellinor, Sölve Elmståhl, Jeanette Erdmann, Michele K Evans, Diane Fatkin, Bjarke Feenstra, Mary F Feitosa, Luigi Ferrucci, Ian Ford, Myriam Fornage, Andre Franke, Paul W Franks, Barry I Freedman, Paolo Gasparini, Christian Gieger, Giorgia Girotto, Michael E Goddard, Yvonne M Golightly, Clicerio Gonzalez-Villalpando, Penny Gordon-Larsen, Harald Grallert, Struan F A Grant, Niels Grarup, Lyn Griffiths, Vilmundur Gudnason, Christopher Haiman, Hakon Hakonarson, Torben Hansen, Catharina A Hartman, Andrew T Hattersley, Caroline Hayward, Susan R Heckbert, Chew-Kiat Heng, Christian Hengstenberg, Alex W Hewitt, Haretsugu Hishigaki, Carel B Hoyng, Paul L Huang, Wei Huang, Steven C Hunt, Kristian Hveem, Elina Hyppönen, William G Iacono, Sahoko Ichihara, M Arfan Ikram, Carmen R Isasi, Rebecca D Jackson, Marjo-Riitta Jarvelin, Zi-Bing Jin, Karl-Heinz Jöckel, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Mika Kähönen, Yoichiro Kamatani, Kui Dong Kang, Jaakko Kaprio, Sharon L R Kardia, Fredrik Karpe, Norihiro Kato, Frank Kee, Thorsten Kessler, Amit V Khera, Chiea Chuen Khor, Lambertus A L M Kiemeney, Bong-Jo Kim, Eung Kweon Kim, Hyung-Lae Kim, Paulus Kirchhof, Mika Kivimaki, Woon-Puay Koh, Heikki A Koistinen, Genovefa D Kolovou, Jaspal S Kooner, Charles Kooperberg, Anna Köttgen, Peter Kovacs, Adriaan Kraaijeveld, Peter Kraft, Ronald M Krauss, Meena Kumari, Zoltan Kutalik, Markku Laakso, Leslie A Lange, Claudia Langenberg, Lenore J Launer, Loic Le Marchand, Hyejin Lee, Nanette R Lee, Terho Lehtimäki, Huaixing Li, Liming Li, Wolfgang Lieb, Xu Lin, Lars Lind, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Markus Loeffler, Barry London, Steven A Lubitz, Stephen J Lye, David A Mackey, Reedik Mägi, Patrik K E Magnusson, Gregory M Marcus, Pedro Marques Vidal, Nicholas G Martin, Winfried März, Fumihiko Matsuda, Robert W Mcgarrah, Matt Mcgue, Amy Jayne Mcknight, Sarah E Medland, Dan Mellström, Andres Metspalu, Braxton D Mitchell, Paul Mitchell, Dennis O Mook-Kanamori, Andrew D Morris, Lorelei A Mucci, Patricia B Munroe, Mike A Nalls, Saman Nazarian, Amanda E Nelson, Matt J Neville, Christopher Newton-Cheh, Christopher S Nielsen, Markus M Nöthen, Claes Ohlsson, Albertine J Oldehinkel, Lorena Orozco, Katja Pahkala, Päivi Pajukanta, Colin N A Palmer, Esteban J Parra, Cristian Pattaro, Oluf Pedersen, Craig E Pennell, Brenda W J H Penninx, Louis Perusse, Annette Peters, Patricia A Peyser, David J Porteous, Danielle Posthuma, Chris Power, Peter P Pramstaller, Michael A Province, Qibin Qi, Jia Qu, Daniel J Rader, Olli T Raitakari, Sarju Ralhan, Loukianos S Rallidis, Dabeeru C Rao, Susan Redline, Dermot F Reilly, Alexander P Reiner, Sang Youl Rhee, Paul M Ridker, Michiel Rienstra, Samuli Ripatti, Marylyn D Ritchie, Dan M Roden, Frits R Rosendaal, Jerome I Rotter, Igor Rudan, Femke Rutters, Charumathi Sabanayagam, Danish Saleheen, Veikko Salomaa, Nilesh J Samani, Dharambir K Sanghera, Naveed Sattar, Börge Schmidt, Helena Schmidt, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Laura J Scott, Rodney J Scott, Peter Sever, Eric J Shiroma, M Benjamin Shoemaker, Xiao-Ou Shu, Eleanor M Simonsick, Mario Sims, Jai Rup Singh, Andrew B Singleton, Moritz F Sinner, J Gustav Smith, Harold Snieder, Tim D Spector, Meir J Stampfer, Klaus J Stark, David P Strachan, Leen M 'T Hart, Yasuharu Tabara, Hua Tang, Jean-Claude Tardif, Thangavel A Thanaraj, Nicholas J Timpson, Anke Tönjes, Angelo Tremblay, Tiinamaija Tuomi, Jaakko Tuomilehto, Maria-Teresa Tusié-Luna, Andre G Uitterlinden, Rob M Van Dam, Pim Van Der Harst, Nathalie Van Der Velde, Cornelia M Van Duijn, Natasja M Van Schoor, Veronique Vitart, Uwe Völker, Peter Vollenweider, Henry Völzke, Niels H Wacher-Rodarte, Mark Walker, Ya Xing Wang, Nicholas J Wareham, Richard M Watanabe, Hugh Watkins, David R Weir, Thomas M Werge, Elisabeth Widen, Lynne R Wilkens, Gonneke Willemsen, Walter C Willett, James F Wilson, Tien-Yin Wong, Jeong-Taek Woo, Alan F Wright, Jer-Yuarn Wu, Huichun Xu, Chittaranjan S Yajnik, Mitsuhiro Yokota, Jian-Min Yuan, Eleftheria Zeggini, Babette S Zemel, Wei Zheng, Xiaofeng Zhu, Joseph M Zmuda, Alan B Zonderman, John-Anker Zwart, Daniel I Chasman, Yoon Shin Cho, Iris M Heid, Mark I Mccarthy, Maggie C Y Ng, Christopher J O'Donnell, Fernando Rivadeneira, Unnur Thorsteinsdottir, Yan V Sun, E Shyong Tai, Michael Boehnke, Panos Deloukas, Anne E Justice, Cecilia M Lindgren, Ruth J F Loos, Karen L Mohlke, Kari E North, Kari Stefansson, Robin G Walters, Thomas W Winkler, Kristin L Young, Po-Ru Loh, Jian Yang, Tõnu Esko, Themistocles L Assimes, Adam Auton, Goncalo R Abecasis, Cristen J Willer, Adam E Locke, Sonja I Berndt, Guillaume Lettre, Timothy M Frayling, Yukinori Okada, Andrew R Wood, Peter M Visscher, Joel N Hirschhorn

Faculty, Staff and Student Publications

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the …

Longitudinal Change In Blood Dna Epigenetic Signature After Smoking Cessation, Amena Keshawarz, Roby Joehanes, Weihua Guan, Tianxiao Huan, Dawn L Demeo, Megan L Grove, Myriam Fornage, Daniel Levy, George O'Connor

Faculty, Staff and Student Publications

Cigarette smoking is associated with epigenetic changes that may be reversible following smoking cessation. Whole blood DNA methylation was evaluated in Framingham Heart Study Offspring (n = 169) and Third Generation (n = 30) cohort participants at two study visits 6 years apart and in Atherosclerosis Risk in Communities (ARIC) study (n = 222) participants at two study visits 20 years apart. Changes in DNA methylation (delta β values) at 483,565 cytosine-phosphate-guanine (CpG) sites and differentially methylated regions (DMRs) were compared between participants who were current, former, or never smokers at both visits (current-current, former-former, never-never, respectively), versus those who …

Semi-Parametric Bayes Regression With Network-Valued Covariates, Xin Ma, Suprateek Kundu, Jennifer Stevens

Faculty, Staff and Student Publications

Although there has been an explosive rise in network data in a variety of disciplines, there is very limited development of regression modeling approaches based on high-dimensional networks. The scarce literature in this area typically assume linear relationships between the outcome and the high-dimensional network edges that results in an inflated model plagued by the curse of dimensionality and these models are unable to accommodate non-linear relationships or higher order interactions. In order to overcome these limitations, we develop a novel two-stage Bayesian non-parametric regression modeling framework using high-dimensional networks as covariates, which first finds a lower dimensional node-specific representation …

Gpu Accelerated Estimation Of A Shared Random Effect Joint Model For Dynamic Prediction, Shikun Wang, Zhao Li, Lan Lan, Jieyi Zhao, W Jim Zheng, Liang Li

Faculty, Staff and Student Publications

In longitudinal cohort studies, it is often of interest to predict the risk of a terminal clinical event using longitudinal predictor data among subjects at risk by the time of the prediction. The at-risk population changes over time; so does the association between predictors and the outcome, as well as the accumulating longitudinal predictor history. The dynamic nature of this prediction problem has received increasing interest in the literature, but computation often poses a challenge. The widely used joint model of longitudinal and survival data often comes with intensive computation and excessive model fitting time, due to numerical optimization and …

First-In-Human Study Of An Ox40 (Ivuxolimab) And 4-1bb (Utomilumab) Agonistic Antibody Combination In Patients With Advanced Solid Tumors, Omid Hamid, Alberto A Chiappori, John A Thompson, Toshihiko Doi, Siwen Hu-Lieskovan, Ferry A L M Eskens, Willeke Ros, Adi Diab, Jean-Philippe Spano, Naiyer A Rizvi, Jeffrey S Wasser, Eric Angevin, Patrick A Ott, Alison Forgie, Wenjing Yang, Cen Guo, Jeffrey Chou, Anthony B El-Khoueiry

Faculty, Staff and Student Publications

Background: Ivuxolimab (PF-04518600) and utomilumab (PF-05082566) are humanized agonistic IgG2 monoclonal antibodies against OX40 and 4-1BB, respectively. This first-in-human, multicenter, open-label, phase I, dose-escalation/dose-expansion study explored safety, tolerability, pharmacokinetics, pharmacodynamics, and antitumor activity of ivuxolimab+utomilumab in patients with advanced solid tumors.

Methods: Dose-escalation: patients with advanced bladder, gastric, or cervical cancer, melanoma, head and neck squamous cell carcinoma, or non-small cell lung cancer (NSCLC) who were unresponsive to available therapies, had no standard therapy available or declined standard therapy were enrolled into five dose cohorts: ivuxolimab (0.1-3 mg/kg every 2 weeks (Q2W)) intravenously plus utomilumab (20 or 100 mg every …

Targeting The Alk-Cdk9-Tyr19 Kinase Cascade Sensitizes Ovarian And Breast Tumors To Parp Inhibition Via Destabilization Of The P-Tefb Complex, Yu-Yi Chu, Mei-Kuang Chen, Yongkun Wei, Heng-Huan Lee, Weiya Xia, Ying-Nai Wang, Clinton Yam, Jennifer L Hsu, Hung-Ling Wang, Wei-Chao Chang, Hirohito Yamaguchi, Zhou Jiang, Chunxiao Liu, Ching-Fei Li, Lei Nie, Li-Chuan Chan, Yuan Gao, Shao-Chun Wang, Jinsong Liu, Shannon N Westin, Sanghoon Lee, Anil K Sood, Liuqing Yang, Gabriel N Hortobagyi, Dihua Yu, Mien-Chie Hung

Faculty, Staff and Student Publications

Poly(ADP-ribose) polymerase (PARP) inhibitors have demonstrated promising clinical activity in multiple cancers. However, resistance to PARP inhibitors remains a substantial clinical challenge. In the present study, we report that anaplastic lymphoma kinase (ALK) directly phosphorylates CDK9 at tyrosine-19 to promote homologous recombination (HR) repair and PARP inhibitor resistance. Phospho-CDK9-Tyr19 increases its kinase activity and nuclear localization to stabilize positive transcriptional elongation factor b and activate polymerase II-dependent transcription of HR-repair genes. Conversely, ALK inhibition increases ubiquitination and degradation of CDK9 by Skp2, an E3 ligase. Notably, combination of US Food and Drug Administration-approved ALK and PARP inhibitors markedly reduce tumor …