Digital Commons Network^™

Using Social Robots To Deliver Behaviour Change Interventions, Leonie Cooper

School of Psychology Theses

The acceleration of technology advancements has resulted in the growth of digital solutions to support with behaviour change in a wide range of domains. Social robots have been explored for their feasibility as agents to deliver established and novel talk-based person-centred behaviour change interventions, such as Motivational Interviewing and Functional Imagery Training (FIT), due to their interactive design and a way to support the growing pressures on health sectors. This thesis builds on previous feasibility work but explores the use of the social robots to support students in changing procrastination behaviours. There is a high prevalence of reported procrastination in …

The Comparison Of Human And Machine Performance In Object Recognition, Gokcek Kul

School of Psychology Theses

Deep learning algorithms have advanced significantly due to better hardware and large training sets, with some claiming they now match or exceed human performance. Recent findings indicate improvements in robustness against Out-Of-Distribution benchmark sets and alignment with human categorisation behaviour. This thesis evaluates various machine learning models to ensure a fair comparison with human performance using principles from comparative psychology. Chapter 2 introduces a psychologically grounded framework for comparing human and machine object categorisation performance, focusing on different presentation times and task complexities. The results indicate that while recent machine learning models have reached or exceeded human performance under optimised …

Engaging Student Nurses In Lifestyle Management: The Role Of Technology-Based Interventions And Mobile Health Applications, Daniela Austin

School of Psychology Theses

Despite their knowledge of health risks and their future role as health promoters, pre-registered nursing students frequently struggle with unhealthy behaviours, including high rates of overweight and obesity. This thesis investigated these challenges in a student nurse population in the South West of England, exploring lifestyle patterns, perceived barriers and motivators, and the potential of mobile health (mHealth) interventions to support behaviour change.Using a multi-method approach across four studies, the research examined students’ current health behaviours, attitudes towards digital tools, and the feasibility and acceptability of theory-driven interventions. The first study, a cross-sectional survey, assessed diet, physical activity, and attitudes …

Soteriological Perspectives In The Seventh-Day Adventist Church From 1930 To 2000, Jungkyu Park

Dissertations

The Topic

The soteriology of the Seventh-day Adventist Church, originally shaped in the mid-nineteenth century around the preparation for the imminent Second Coming, has undergone gradual development over time. By the mid-twentieth century, various perspectives emerged due to the continuation of traditional teachings from the late nineteenth century and challenges from external theological influences. In particular, throughout the debate over Last Generation Theology, each theologian defined and interpreted “righteousness by faith” according to their own theological background and historical context. The resulting tensions and conflicts continue to persist to this day.

The Purpose

This study aims to describe and examine …

Exploring Inclusive Education And Listening In Relation To Children's Experiences And Teachers' Perspectives, Ramazan Merk

School of Law, Humanities and Social Sciences Theses

This thesis addressed the field of inclusive education and the importance of listening from the perspectives of both children and teachers. Drawing on experiences in pre-school and reception classrooms in England, I explored the essence of inclusive education and effective implementation strategies to meet the needs of children, including those with diverse needs. Emphasis was placed on the necessity for teachers to acknowledge and address each child's individual needs when developing early years learning environments. Moreover, the study underlined the important role of active listening in promoting communication and understanding between teachers and children as a cornerstone of inclusive pedagogy. …

“Fish In Different Water, To Survive Or To Thrive?” Understanding Direct-Entry Pre-Sessional Chinese Students’ Learning Experiences During Covid-19 And Its Aftermath, Lingyuan Osgathorpe

School of Law, Humanities and Social Sciences Theses

This thesis explores the learning experiences of direct-entry pre-sessional Chinese students in the UK during the COVID-19 pandemic and its aftermath, using Pierre Bourdieu’s theoretical framework. Through the metaphor of students as "fish in different water", the research examines how these learners navigate and adapt to new educational environments that often starkly contrast with their prior experiences.The study employs a two-stage semi-structured interview process with student participants, first in China during their online pre-sessional courses and later in the UK during their degree programmes. All interviews were conducted in Mandarin Chinese to ensure linguistic and cultural accessibility. Additionally, expert interviews …

Generalizable Self-Supervised Learning For Brain Cta In Acute Stroke, Yingjun Dong, Samiksha Pachade, Kirk Roberts, Xiaoqian Jiang, Sunil A Sheth, Luca Giancardo

Faculty, Staff and Student Publications

Acute stroke management involves rapid and accurate interpretation of CTA imaging data. However, generalizable models for multiple acute stroke tasks able to learn from unlabeled data do not exist. We propose a linear probed self-supervised contrastive learning utilizing 3D CTA images and the findings section of radiologists' reports for pretraining. Subsequently, the pretrained model was applied to four disparate tasks: large vessel occlusion (LVO) detection, acute ischemic stroke detection, acute ischemic stroke, intracerebral hemorrhage classification, and ischemic core volume prediction. The tasks chosen are particularly challenging as they cannot be directly extracted from the radiology reports findings with keywords. The …

Unraveling Complex Temporal Patterns In Ehrs Via Robust Irregular Tensor Factorization, Ren Yifei, Linghui Zeng, Jian Lou, Li Xiong, Joyce C Ho, Xiaoqian Jiang, Sivasubramanium V Bhavani

Faculty, Staff and Student Publications

Electronic health records (EHRs) contain diverse patient data with varying visit frequencies. While irregular tensor factorization techniques such as PARAFAC2 have been used for extracting meaningful medical concepts from EHRs, existing methods fail to capture non-linear and complex temporal patterns and struggle with missing entries. In this paper, we propose REPAR, an RNN REgularized Robust PARAFAC2 method to model complex temporal dependencies and enhance robustness in the presence of missing data. Our approach employs Recurrent Neural Networks (RNNs) for temporal regularization and a low-rank constraint for robustness, enabling precise patient subgroup identification and improved clinical decision-making in noisy EHR data. …

Pain Phenotyping Indicators In Older Adults With Chronic Low Back Pain: A Secondary Analysis Of A Randomized Controlled Trial, Katrina R Hamilton, Nada Lukkahatai, Wanqi Chen, Hulin Wu, Jennifer Kawi, Constance M Johnson, Paul J Christo, Claudia M Campbell

Faculty, Staff and Student Publications

Purpose: A multimodal approach to clinical care is often recommended for chronic low back pain (cLBP); however, treatment responses are highly variable. Phenotyping could help determine subgroups of patients, allowing for targeted and tailored interventional approaches.

Patients and methods: 263 (Mage=69.8 (7.2); 64.6% female) individuals with cLBP participated in the parent study, a 3-arm, randomized clinical trial examining auricular point acupressure treatment outcomes. Parent study participants were randomized (1:1:1) to APA ear points targeted to cLBP (T-APA, n=92), non-targeted to cLBP (NT-APA, n=91), or education control (n=89). The current study used latent class analysis to identify clustering for pain severity …

Explainable Diagnosis Prediction Through Neuro-Symbolic Integration, Qiuhao Lu, Rui Li, Elham Sagheb, Andrew Wen, Jinlian Wang, Liwei Wang, Jungwei W Fan, Hongfang Liu

Faculty, Staff and Student Publications

Diagnosis prediction is a critical task in healthcare, where timely and accurate identification of medical conditions can significantly impact patient outcomes. Traditional machine learning and deep learning models have achieved notable success in this domain but often lack interpretability which is a crucial requirement in clinical settings. In this study, we explore the use of neuro-symbolic methods, specifically Logical Neural Networks (LNNs), to develop explainable models for diagnosis prediction. Essentially, we design and implement LNN-based models that integrate domain-specific knowledge through logical rules with learnable weights and thresholds. Our models, particularly Mmulti-pathway and Mcomprehensive, demonstrate superior performance over traditional models …

Rank Aggregation Methods And Tools In Genomic Data Analysis, Wenping Zou, Savannah Mwesigwa, Sayed-Rzgar Hosseini, Zhongming Zhao

Faculty, Staff and Student Publications

Rank aggregation (RA) is the process of consolidating disparate rankings into a single unified ranking. It holds immense potential in the field of genomics. RA has applications in diverse research areas, such as gene expression analysis, meta-analysis, gene prioritization, and biomarker discovery. However, there are many challenges in the application of the RA approach to biological data, such as dealing with heterogeneous data sources, rankings of mixed quality, and evaluating the consolidated rankings. In this review, we present an overview of the existing RA methods with an emphasis on those that have been tailored to the complexities of genomics research. …

Session Introduction: Translating Big Data Imaging Genomics Findings To The Individual: Prediction Of Risks And Outcomes In Neuropsychiatric Illnesses, Peter Kochunov, Li Shen, Zhongming Zhao, Paul M Thompson

Faculty, Staff and Student Publications

This PSB 2025 session is focused on opportunities, challenges and solutions for translating Big Data Imaging Genomic findings toward powering decision making in personalized medicine and guiding individual clinical decisions. It combines many of the scientific directions that are of interest to PSB members including Big Data analyses, pattern recognition, machine learning and AI, electronic health records and others.

Temporal Ensemble Logic For Integrative Representation Of The Entirety Of Clinical Trials, Xiaojin Li, Yan Huang, Rashmie Abeysinghe, Zenan Sun, Hongyu Chen, Pengze Li, Xing He, Shiqiang Tao, Cui Tao, Jiang Bian, Licong Cui, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Clinical trials are typically specified with protocols that define eligibility criteria, treatment regimens, follow-up schedules, and outcome assessments. Temporality is a hallmark of all clinical trials, reflected within and across trial components, with complex dependencies unfolding across multiple time points. Despite their importance, clinical trial protocols are described in free-text format, limiting their semantic precision and the ability to support automated reasoning, leverage data across studies and sites, or simulate trial execution under varying assumptions using Real-World Data. This paper introduces a formalized representation of clinical trials using Temporal Ensemble Logic (TEL). TEL incorporates metricized modal operators, such as “always …

Introducing Advances In Health Information Science And Practice, Susan Fenton

Faculty, Staff and Student Publications

No abstract provided.

Deep Brain Stimulation Of The Medial Forebrain Bundle: Effects On Anhedonia And Behavioral Activation In Treatment-Resistant Depression, Andrea Boscutti, Bashar Asir, Isabela Moura, Albert Fenoy, João Quevedo, Jair C Soares

Faculty, Staff and Student Publications

No abstract provided.

Non-Invasive Measurement Of Elasticity In Glioblastoma Multiforme Validates Decreased Tmz Sensitivity In Astrocyte Co-Culture, Megan Mendieta, Maryam Hatami, Manmohan Singh, Sajedeh Saeidi Fard, Mohammad Dehshiri, Alexander Schill, Dmitry Nevozhay, Salavat Aglyamov, Bulent Ozpolat, Konstantin V Sokolov, Yasemin M Akay, Kirill V Larin, Metin Akay

Faculty, Staff and Student Publications

Goal: In this research, we investigated the changes in elasticity of in vitro glioblastoma multiforme (GBM) spheroids when treated with the gold standard chemotherapy for GBM, Temozolomide (TMZ). Additionally, we aimed to use this alternative biomarker to assess how modifying the tumor microenvironment (TME) with the addition of human astrocytes (HA) would influence treatment efficacy. Methods: Spheroid stiffness was investigated using advanced non-invasive optical techniques, nanobomb optical coherence elastography (nb-OCE) and Brillouin microscopy to obtain new biomechanical insights by assessing local tumor progression or response to therapy using GBM cells (LN229). Results: The treated monocultured GBM groups showed a significant …

Examining The Presence And Effects Of Coherence And Fragmentation In The Gulf Of Maine Fishery Management Network, Derek Katznelson, Antonia Sohns, Dongkyu Kim, Evelyn Roozee, William R Donner, Andrew M Song, Jasper R De Vries, Owen Temby, Gordon M Hickey

Faculty, Staff and Student Publications

Natural resource management networks cohere due to mutual dependencies and fragment, in part, due to the perceived risks of interaction. However, research on these networks has tended to accept coherence a priori rather than problematizing dependence, and few studies exist on interorganizational risk perception. This article presents the results of a study operationalizing these concepts and measuring the distribution of three types of dependence (capital, legitimacy, and regulatory) and two types of perceived risk (performance and sanction) among nearly fifty stakeholder groups and organizations participating in the management of fisheries in the binational Gulf of Maine. The analysis reveals an …

Comparative Efficacy Of Fluoroscopically Guided Vs Landmark-Based Injections In The Management Of Ischial Bursitis: A Pilot Study, Jamal Hasoon, Giustino Varrassi, Omar Viswanath

Faculty, Staff and Student Publications

Introduction: Ischial bursitis is a challenging chronic pain condition often resistant to conservative treatments. Ischial bursa injections, including fluoroscopically guided and landmark-based approaches, are commonly used when first-line interventions fail. This study aims to compare the efficacy of these two techniques in providing pain relief and improving function in patients with refractory ischial bursitis.

Methods: A retrospective analysis was conducted using electronic medical records of nine patients with refractory ischial bursitis treated between April 1, 2023, and November 30, 2024. Patients were categorized based on the injection technique: fluoroscopically guided (n=4) or landmark-based (n=5). Pain relief was assessed at follow-up …

Nrg Oncology White Paper On The Relative Biological Effectiveness In Proton Therapy, Harald Paganetti, Charles B Simone, Walter R Bosch, Daphne Haas-Kogan, David G Kirsch, Heng Li, Xiaoying Liang, Wei Liu, Anita Mahajan, Michael D Story, Paige A Taylor, Henning Willers, Ying Xiao, Jeffrey C Buchsbaum

Faculty, Staff and Student Publications

This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the concept of relative biologic effect (RBE) in clinical proton therapy (PT), with the goal of providing recommendations for the next-generation clinical trials with PT on the best practice of investigating and using RBE, which could deviate from the current standard proton RBE value of 1.1 relative to photons. In part 1, current clinical utilization and practice are reviewed, giving the context and history of RBE. Evidence for variation in RBE is presented along with the concept of linear energy transfer (LET). The intertwined nature of …

Advanced Method For The In Vivo Measurements Of Lysophospholipid Translocation Across The Inner (Cytoplasmic) Membrane Of Escherichia Coli, Yibin Lin, Lei Zheng, Mikhail Bogdanov

Faculty, Staff and Student Publications

Phospholipid translocation occurs ubiquitously in biological membranes and primarily is protein catalyzed. Lipid flippases mediate the net translocation of specific phospholipids from one leaflet of a membrane to the other. In the inner (cytoplasmic) membrane (IM) of Gram-negative bacteria, lysophospholipid translocase (LplT) and cytosolic bifunctional acyl-acyl carrier protein (ACP) synthetase/2-acylglycerolphosphoethanolamine acyltransferase (Aas) form a glycerophospholipid regeneration system, which is capable of facilitating rapid retrograde translocation of lyso forms of phosphatidylethanolamine (PE), phosphatidylglycerol (PG), and cardiolipin (CL) but not exogenous (host-derived) phosphatidylcholine (PC) across the IM of Gram-negative diderm (two-membraned) bacteria in consequential order lyso-PE = lyso-PG > > lysophosphatidic acid (lyso-PA) >> lyso-PC. …

Efficacy And Safety Of Once-Daily Roflumilast Cream 005% In Pediatric Patients Aged 2-5 Years With Mild-To-Moderate Atopic Dermatitis (Integument-Ped): A Phase 3 Randomized Controlled Trial, Lawrence F Eichenfield, Rocco Serrao, Vimal H Prajapati, John C Browning, Lisa Swanson, Tracy Funk, Mercedes E Gonzalez, Adelaide A Hebert, Mark Lee, Mark Boguniewicz, Eric L Simpson, Melissa S Seal, David Krupa, Diane Hanna, Scott Snyder, Patrick Burnett, David H Chu, Erin Almaraz, Robert C Higham, David R Berk

Faculty, Staff and Student Publications

Background/objectives: Efficacy and safety of roflumilast cream 0.15% were demonstrated in patients aged ≥ 6 years with atopic dermatitis (AD) in two Phase 3 trials. This Phase 3 parallel-group, double-blind trial (INTEGUMENT-PED; NCT04845620) compared the efficacy and safety of roflumilast cream 0.05% and a vehicle in patients aged 2-5 years with AD.

Methods: Patients aged 2-5 years with mild-to-moderate AD were treated with once-daily roflumilast cream 0.05% or vehicle for 4 weeks. The primary efficacy endpoint was Validated Investigator Global Assessment for AD (vIGA-AD) Success (0 [Clear] or 1 [Almost Clear] plus ≥ 2-grade improvement from baseline) at Week …

Administration Of Anti-Gfap Antibodies Increases Cgrp Expression And Increases Pain Hypersensitivity In Spinal Cord Injured Animals, Georgene W Hergenroeder, Samuel T Molina, Juan J Herrera

Faculty, Staff and Student Publications

Background: Spinal cord injury (SCI) results in a multitude of cellular and pathological changes including neuronal loss, axonal damage, gliosis, and loss of motor and sensory function. In 40%-70% of patients, SCI can also trigger the development of neuropathic pain. Our previous study demonstrated that SCI patients who developed autoantibodies to glial fibrillary acidic protein (GFAP) were at increased risk for the subsequent development of neuropathic pain. However, whether GFAP autoantibodies (GFAPab) contribute to the development of neuropathic pain after SCI had yet to be examined.

Objective: Using a mid-thoracic contusion model of SCI in male Sprague-Dawley rats, we examined …

Editorial: Ovarian Cancer Targeted Medication: Parp Inhibitors, Anti-Angiogenic Drugs, Immunotherapy, And More, Volume Ii, Zhi-Bin Wang, De-Hua Liao, Guang Lei, Zhao-Qian Liu, Nayiyuan Wu, Jing Wang

Faculty, Staff and Student Publications

No abstract provided.

Individualized Frequency And Montage Tacs To Engage Theta-Gamma Coupling And Enhance Working Memory In Mild Cognitive Impairment, Mina Mirjalili, Iryna S Palamarchuk, Heather Brooks, Reza Zomorrodi, Ashley Melichercik, Wei Wang, Sean M Nestor, Daniel M Blumberger, Abhishek Datta, Christopher Bowie, Bernadette Mdawar, Kullervo Hynynen, Sanjeev Kumar, Tarek K Rajji

Faculty, Staff and Student Publications

Mild Cognitive Impairment (MCI) is a clinical prodromal stage of Alzheimer's disease. Enhancing executive functions in patients with MCI could optimize cognitive compensatory mechanisms and slow cognitive decline. The prefrontal cortex (PFC) and its connections to the hippocampus support executive functions, including working memory. Transcranial alternating current stimulation (tACS) can modulate these connections by engaging theta-gamma coupling (TGC) and may thereby strengthen working memory. This study, "tACS to engage theta-gamma coupling and enhance working memory in MCI" (tACS-MCI), will assess the feasibility and cognitive effects of EEG and MRI-guided individualized tACS. The stimulation will target the prefrontal and temporal cortices …

Comprehensive Genomic Analysis Reveals Molecular Heterogeneity In Pediatric Alk-Positive Anaplastic Large Cell Lymphoma, Timothy I Shaw, Stanley Pounds, Xueyuan Cao, Jing Ma, Gustavo Palacios, John Mason, Sherrie Perkins, Gang Wu, Yiping Fan, Jian Wang, Xin Zhou, Alyssa Obermayer, Marsha C Kinney, Jacqueline Kraveka, Thomas Gross, John Sandlund, Jinghui Zhang, Charles Mullighan, Megan S Lim, Vasiliki Leventaki

Faculty, Staff and Student Publications

Anaplastic large cell lymphoma (ALCL) is a mature T-cell lymphoma that accounts for 10-15% of childhood lymphomas. Despite the observation that more than 90% of pediatric cases harbor the anaplastic lymphoma kinase (ALK) rearrangement resulting in aberrant ALK kinase expression, there is significant clinical, morphologic, and biological heterogeneity. To gain insights into the genomic aberrations and molecular heterogeneity within ALK-positive ALCL (ALK+ ALCL), we analyzed 46 pediatric ALK+ ALCLs by whole-exome sequencing, RNA sequencing, and DNA methylation profiling. Whole-exome sequencing found on average 25 SNV/Indel events per sample with recurring genetic events in regulators of DNA damage (TP53, MDM4), transcription …

Predictors For Spontaneous Pleurodesis In Patients With Indwelling Pleural Catheters For Malignant Pleural Effusion: A Safety Net Hospital Experience, Saad Farooq, Sabiha Armin, Jordan E Killingsworth, Akriti Agrawal, Adishwar Rao, Rosa M Estrada-Y-Martin, Sujith V Cherian

Faculty, Staff and Student Publications

Background: Malignant pleural effusion (MPE) affects approximately 150,000 patients in the United States each year and usually signifies advanced-stage cancer. The optimal treatment remains a challenge but indwelling pleural catheters (IPC) offer several advantages and may help achieve spontaneous pleurodesis (SP) in some patients.

Objectives: We aim to investigate the predictors of SP among patients with MPE, particularly in a resource-limited community-based safety net hospital.

Design: This is a retrospective cohort study done at a community-based safety net hospital.

Methods: Adults diagnosed with or suspected of having MPE between January 2015 and December 2023 who underwent IPC placement were included. …

Global Research Trends And Focus On Immunotherapy For Endometrial Cancer: A Comprehensive Bibliometric Insight And Visualization Analysis (2012–2024), Yachen Xu, Tao Wang, Xiaojing Liang, Jie Yang, Yuxiang Zhang, Shan Bao

Faculty, Staff and Student Publications

Background: This study conducted a novel systematic bibliometric and visualization analysis of global literature on immunotherapy for endometrial cancer (EC) to explore dynamic trends, research hotspots, and emerging topics, providing valuable references for future research.

Methods: Articles and reviews on EC immunotherapy published between 2012 and August 2024 were retrieved from the Web of Science Core Collection (WoSCC). Bibliometric tools, CiteSpace and VOSviewer, were used to analyze clustering patterns and research dynamics.

Results: A total of 861 articles were contributed by 5,331 authors from 1,392 institutions across 58 countries or regions, involving 1,823 keywords. China demonstrated outstanding performance in this …

Measurement Of Oxygen Consumption Rate In Mouse Aortic Tissue, Zhen Zhou, Ripon Sarkar, Jose Emiliano Esparza Pinelo, Alexis Richard, Jay Dunn, Zhao Ren, Callie S Kwartler, Dianna M Milewicz

Faculty, Staff and Student Publications

Thoracic aortic aneurysm and dissection (TAD) is a life-threatening vascular disorder, and smooth muscle cell mitochondrial dysfunction leads to cell death, contributing to TAD. Accurate measurements of metabolic processes are essential for understanding cellular homeostasis in both healthy and diseased states. While assays for evaluating mitochondrial respiration have been well established for cultured cells and isolated mitochondria, no optimized application has been developed for aortic tissue. In this study, we generate an optimized protocol using the Agilent Seahorse XFe24 analyzer to measure mitochondrial respiration in mouse aortic tissue. This method allows for precise measurement of mitochondrial oxygen consumption in mouse …

Long-Term Symptom Burden In A Young, Ambulatory Cohort After The Omicron Outbreak In China, Simeng Ren, Yumeng Tan, Hongkun Xu, Mian Wang, Rumei Xiang, Jiayue Jin, Baojin Han, Jiaheng Shi, Jingyu Zhang, Jinliang Yang, Xin Tian, Ying Li, Jiaojiao Chen, Wenzheng Zhang, Jingqi Yang, Xin Shelley Wang, Qiuling Shi, Jie Liu

Faculty, Staff and Student Publications

Introduction: At the end of 2022, an outbreak of the Omicron BF.7 and BA.5.2 subvariants of SARS-CoV-2 occurred in China. In this prospective cohort study, we investigated the pattern of development of major symptom burden and influencing factors in infected Chinese patients.

Methods: First-time infected outpatients were enrolled from December 7, 2022, to January 11, 2023 (N = 355). The prevalence of symptoms was monitored by a repeated patient-reported quantitative symptom survey over nine months.

Results: At the onset of the infection, the most prevalent symptoms (score ≥1 on a 0-10 numeric rating scale) were fatigue (91.8%), cough (91.8%), …

Characterization Of Additive Gene-Environment Interactions For Colorectal Cancer Risk, Claire E Thomas, Yi Lin, Michelle Kim, Eric S Kawaguchi, Conghui Qu, Caroline Y Um, Brigid M Lynch, Bethany Van Guelpen, Kostas Tsilidis, Robert Carreras-Torres, Franzel J B Van Duijnhoven, Lori C Sakoda, Peter T Campbell, Yu Tian, Jenny Chang-Claude, Stéphane Bézieau, Arif Budiarto, Julie R Palmer, Polly A Newcomb, Graham Casey, Loic Le Marchandz, Marios Giannakis, Christopher I Li, Andrea Gsur, Christina Newton, Mireia Obón-Santacana, Victor Moreno, Pavel Vodicka, Hermann Brenner, Michael Hoffmeister, Andrew J Pellatt, Robert E Schoen, Niki Dimou, Neil Murphy, Marc J Gunter, Sergi Castellví-Bel, Jane C Figueiredo, Andrew T Chan, Mingyang Song, Li Li, D Timothy Bishop, Stephen B Gruber, James W Baurley, Stephanie A Bien, David V Conti, Jeroen R Huyghe, Anshul Kundaje, Yu-Ru Su, Jun Wang, Temitope O Keku, Michael O Woods, Sonja I Berndt, Stephen J Chanock, Catherine M Tangen, Alicja Wolk, Andrea Burnett-Hartman, Anna H Wu, Emily White, Matthew A Devall, Virginia Díez-Obrero, David A Drew, Edward Giovannucci, Akihisa Hidaka, Andre E Kim, Juan Pablo Lewinger, John Morrison, Jennifer Ose, Nikos Papadimitriou, Bens Pardamean, Anita R Peoples, Edward A Ruiz-Narvaez, Anna Shcherbina, Mariana C Stern, Xuechen Chen, Duncan C Thomas, Elizabeth A Platz, W James Gauderman, Ulrike Peters, Li Hsu

Faculty, Staff and Student Publications

Background: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure.

Methods: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk.

Results: There was no evidence of multiplicative interaction …