Medical Genetics Commons^™

Personal Light Exposure Patterns And Incidence Of Type 2 Diabetes: Analysis Of 13 Million Hours Of Light Sensor Data And 670,000 Person-Years Of Prospective Observation, Daniel P Windred, Angus C Burns, Martin K Rutter, Chris Ho Ching Yeung, Jacqueline M Lane, Qian Xiao, Richa Saxena, Sean W Cain, Andrew J K Phillips

Faculty, Staff and Student Publications

BACKGROUND: Light at night disrupts circadian rhythms, and circadian disruption is a risk factor for type 2 diabetes. Whether personal light exposure predicts diabetes risk has not been demonstrated in a large prospective cohort. We therefore assessed whether personal light exposure patterns predicted risk of incident type 2 diabetes in UK Biobank participants, using ∼13 million hours of light sensor data.

METHODS: Participants (N = 84,790, age (M ± SD) = 62.3 ± 7.9 years, 58% female) wore light sensors for one week, recording day and night light exposure. Circadian amplitude and phase were modeled from weekly light data. Incident …

Evaluating Automatically Generated Normal Tissue Contours For Safe Use In Head And Neck And Cervical Cancer Treatment Planning, Raphael Douglas, Adenike Olanrewaju, Raymond Mumme, Lifei Zhang, Beth M Beadle, Laurence Edward Court

Faculty, Staff and Student Publications

Purpose: Volumetric-modulated arc therapy (VMAT) is a widely accepted treatment method for head and neck (HN) and cervical cancers; however, creating contours and plan optimization for VMAT plans is a time-consuming process. Our group has created an automated treatment planning tool, the Radiation Planning Assistant (RPA), that uses deep learning models to generate organs at risk (OARs), planning structures and automates plan optimization. This study quantitatively evaluates the quality of contours generated by the RPA tool.

Methods: For patients with HN (54) and cervical (39) cancers, we retrospectively generated autoplans using the RPA. Autoplans were generated using deep-learning and RapidPlan …

Evaluating The Relationship Between Magnetic Resonance Image Quality Metrics And Deep Learning-Based Segmentation Accuracy Of Brain Tumors, Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P Yung, James P Long, Satish E Viswanath, Daniel S Marcus, Caroline Chung, David Fuentes

Faculty, Staff and Student Publications

Background: Magnetic resonance imaging (MRI) scans are known to suffer from a variety of acquisition artifacts as well as equipment-based variations that impact image appearance and segmentation performance. It is still unclear whether a direct relationship exists between magnetic resonance (MR) image quality metrics (IQMs) (e.g., signal-to-noise, contrast-to-noise) and segmentation accuracy.

Purpose: Deep learning (DL) approaches have shown significant promise for automated segmentation of brain tumors on MRI but depend on the quality of input training images. We sought to evaluate the relationship between IQMs of input training images and DL-based brain tumor segmentation accuracy toward developing more generalizable models …

The Time-Dependent Association Between Irritable Bowel Syndrome And All-Cause And Cause-Specific Mortality: A Prospective Cohort Study Within The Uk Biobank, Fangyu Li, Yukiko Yano, Lola Étiévant, Carrie R Daniel, Shreela V Sharma, Eric L Brown, Ruosha Li, Erikka Loftfield, Qing Lan, Rashmi Sinha, Baharak Moshiree, Maki Inoue-Choi, Emily Vogtmann

Faculty, Staff and Student Publications

Introduction: Irritable bowel syndrome (IBS) is one of the most common functional gastrointestinal disorders, but few studies have evaluated mortality risks among individuals with IBS. We explored the association between IBS and all-cause and cause-specific mortality in the UK Biobank.

Methods: We included 502,369 participants from the UK Biobank with mortality data through 2022. IBS was defined using baseline self-report and linkage to primary care or hospital admission data. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality using multivariable Cox proportional hazards regression models within partitioned follow-up time categories (0-5, >5-10, and >10 …

Dna-Delivered Monoclonal Antibodies Targeting The P53 R175h Mutant Epitope Inhibit Tumor Development In Mice, Dafei Chai, Xu Wang, Praveen Neeli, Shan Zhou, Xingfang Yu, Kanaga Sabapathy, Yong Li

Faculty, Staff and Students Publications

The tumor suppressor p53 is the most common mutated gene in cancer, with the R175H as the most frequent p53 missense mutant. However, there are currently no approved targeted therapies or immunotherapies against mutant p53. Here, we characterized and investigated a monoclonal antibody (mAb) that recognizes the mutant p53-R175H for its affinity, specificity, and activity against tumor cells in vitro. We then delivered DNA plasmids expressing the anti-R175H mAb or a bispecific antibody (BsAb) into mice to evaluate their therapeutic effects. Our results showed that the anti-R175H mAb specifically bound to the p53-R175H antigen with a high affinity and …

Remodeling Of Anti-Tumor Immunity With Antibodies Targeting A P53 Mutant, Dafei Chai, Junhao Wang, Chunmei Fan, Jing-Ming Lim, Xu Wang, Praveen Neeli, Xinfang Yu, Ken H Young, Yong Li

Faculty, Staff and Students Publications

BACKGROUND: p53, the most frequently mutated gene in cancer, lacks effective targeted drugs.

METHODS: We developed monoclonal antibodies (mAbs) that target a p53 hotspot mutation E285K without cross-reactivity with wild-type p53. They were delivered using lipid nanoparticles (LNPs) that encapsulate DNA plasmids. Western blot, BLI, flow cytometry, single-cell sequencing (scRNA-seq), and other methods were employed to assess the function of mAbs in vitro and in vivo.

RESULTS: These LNP-pE285K-mAbs in the IgG1 format exhibited a robust anti-tumor effect, facilitating the infiltration of immune cells, including CD8+ T, B, and NK cells. scRNA-seq revealed that IgG1 reduces immune inhibitory signaling, increases …

A Multilevel Intervention To Promote Hpv Vaccination Among Young Adults In Texas: Protocol For A Randomized Controlled Trial, Qian Lu, Lenna Dawkins-Moultin, Dalnim Cho, Naomi Q P Tan, Suellen Hopfer, Yisheng Li, Lois Ramondetta, Yusi Xu, Di Lun, Minxing Chen

Faculty, Staff and Student Publications

Background: Human papillomavirus (HPV) infections can cause cancers of the cervix, vagina, vulva, penis, anus, and oropharynx. The most recently approved HPV vaccine, Gardasil-9, protects against HPV infection and can prevent HPV-associated invasive cancers. However, Gardasil-9 is one of the most underused vaccines in the US today. Young adults are at risk for HPV infection, but many are not vaccinated. This study uses a randomized controlled trial (RCT) to test an innovative multilevel intervention to increase HPV vaccination rates among young adults. In this paper, we describe the research protocol.

Methods: The study uses a two by three factorial design. …

Automated Spontaneous Echo Contrast Detection Using A Multisequence Attention Convolutional Neural Network, Ouwen Huang, Zewei Shi, Naveen Garg, Corey Jensen, Mark L Palmeri

Faculty, Staff and Student Publications

OBJECTIVE: Spontaneous echo contrast (SEC) is a vascular ultrasound finding associated with increased thromboembolism risk. However, identification requires expert determination and clinician time to report. We developed a deep learning model that can automatically identify SEC. Our model can be applied retrospectively without deviating from routine clinical practice. The retrospective nature of our model means future works could scan archival data to opportunistically correlate SEC findings with documented clinical outcomes.

METHODS: We curated a data set of 801 archival acquisitions along the femoral vein from 201 patients. We used a multisequence convolutional neural network (CNN) with ResNetv2 backbone and visualized …

Generation Of A Humanized Mace2 And A Conditional Hace2 Mouse Models Permissive To Sars-Cov-2 Infection, I-Wen Song, Megan Washington, Carolina Leynes, Jason Hsu, Kempaiah Rayavara, Yangjin Bae, Nele Haelterman, Yuqing Chen, Ming-Ming Jiang, Aleksandra Drelich, Vivian Tat, Denise G Lanza, Isabel Lorenzo, Jason D Heaney, Chien-Te Kent Tseng, Brendan Lee, Ronit Marom

Faculty, Staff and Students Publications

The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) remains a public health concern and a subject of active research effort. Development of pre-clinical animal models is critical to study viral-host interaction, tissue tropism, disease mechanisms, therapeutic approaches, and long-term sequelae of infection. Here, we report two mouse models for studying SARS-CoV-2: A knock-in mAce2F83Y,H353K mouse that expresses a mouse-human hybrid form of the angiotensin-converting enzyme 2 (ACE2) receptor under the endogenous mouse Ace2 promoter, and a Rosa26 conditional knock-in mouse carrying the human ACE2 allele (Rosa26hACE2). Although the mAce2F83Y,H353K mice were susceptible to …

A Phase 1/2 Study Of Pepinemab In Children, Adolescents, Or Young Adults With Recurrent Or Refractory Solid Tumors: A Children’S Oncology Group Consortium Report (Advl1614), Emily Greengard, Robin Williams, Branden Moriarity, Xiaowei Liu, Charles G Minard, Joel M Reid, Terrence Fisher, Elizabeth Evans, Desa Rae Pastore, Maurice Zauderer, Stephan Voss, Elizabeth Fox, Brenda J Weigel

Faculty, Staff and Students Publications

PURPOSE: Pepinemab, a humanized IgG4 monoclonal antibody, targets the SEMA4D (CD100) antigen to inhibit binding to its high-affinity receptors (plexin B1/PLXNB1, plexin B2/PLXNB2) and low-affinity receptor (CD72). SEMA4D blockade leads to increased cytotoxic T-cell infiltration, delayed tumor growth, and durable tumor rejection in murine tumor models. Pepinemab was well tolerated and improved T cell infiltration in clinical studies in adults with refractory tumors. SEMA4D was identified as a strong candidate proto-oncogene in a model of osteosarcoma. Based on these preclinical and clinical data, we conducted a phase 1/2 study to determine the recommended phase 2 dose (RP2D), pharmacokinetics, pharmacodynamics, and …

Kcnk1 Promotes Proliferation And Metastasis Of Breast Cancer Cells By Activating Lactate Dehydrogenase A (Ldha) And Up-Regulating H3k18 Lactylation, Xiangchan Hou, Jiawei Ouyang, Le Tang, Pan Wu, Xiangying Deng, Qijia Yan, Lei Shi, Songqing Fan, Chunmei Fan, Can Guo, Qianjin Liao, Yong Li, Wei Xiong, Guiyuan Li, Zhaoyang Zeng, Fuyan Wang

Faculty, Staff and Students Publications

Breast cancer is the most prevalent malignancy and the most significant contributor to mortality in female oncology patients. Potassium Two Pore Domain Channel Subfamily K Member 1 (KCNK1) is differentially expressed in a variety of tumors, but the mechanism of its function in breast cancer is unknown. In this study, we found for the first time that KCNK1 was significantly up-regulated in human breast cancer and was correlated with poor prognosis in breast cancer patients. KCNK1 promoted breast cancer proliferation, invasion, and metastasis in vitro and vivo. Further studies unexpectedly revealed that KCNK1 increased the glycolysis and lactate production in …

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

School of Graduate Studies Faculty Publications

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

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

Faculty, Staff and Students Publications

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

Inclusion Of Adoption As A Pregnancy Management Option In Prenatal Genetic Counseling Practice, Emma Billings

Dissertations and Theses (Open Access)

Prenatal genetic counselors are essential to providing education, psychosocial support, and guidance on pregnancy options to patients who receive a fetal diagnosis of an anomaly or genetic condition. Therefore, genetic counselors should be well-educated on comprehensive pregnancy management options consisting of parenting, abortion, and adoption. The landscape of adoption education in genetic counseling practice was last characterized in 2010 by Perry and Henry, revealing substantial variability in both the inclusion of adoption-specific education in genetic counseling program (GCP) curricula and the discussion of pregnancy options with patients in prenatal practice. As a result, the authors published a call to action …

Optimized Scoring Of End-To-End Dosimetry Audits For Passive Motion Management – A Simulation Study Using The Iroc Thorax Phantom, Alex Burton, Mathieu Gaudreault, Nicholas Hardcastle, Jessica Lye, Sabeena Beveridge, Stephen F Kry, Rick Franich

Faculty, Staff and Student Publications

Dosimetry audits for passive motion management require dynamically-acquired measurements in a moving phantom to be compared to statically calculated planned doses. This study aimed to characterise the relationship between planning and delivery errors, and the measured dose in the Imaging and Radiation Oncology Core (IROC) thorax phantom, to assess different audit scoring approaches. Treatment plans were created using a 4DCT scan of the IROC phantom, equipped with film and thermoluminescent dosimeters (TLDs). Plans were created on the average intensity projection from all bins. Three levels of aperture complexity were explored: dynamic conformal arcs (DCAT), low-, and high-complexity volumetric modulated arcs …

Targeted Accurate Rna Consensus Sequencing (Tarc-Seq) Reveals Mechanisms Of Replication Error Affecting Sars-Cov-2 Divergence, Catherine C Bradley, Chen Wang, Alasdair J E Gordon, Alice X Wen, Pamela N Luna, Matthew B Cooke, Brendan F Kohrn, Scott R Kennedy, Vasanthi Avadhanula, Pedro A Piedra, Olivier Lichtarge, Chad A Shaw, Shannon E Ronca, Christophe Herman

Duncan NRI Faculty and Staff Publications

RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error-prone. Monitoring replication errors is crucial for understanding the virus’s evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here, we introduce a new targeted Accurate RNA Consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68×10−5 new errors per cycle with a C>T bias that cannot be solely attributed to APOBEC …

Patient Interest In And Clinician Reservations On Polygenic Embryo Screening: A Qualitative Study Of Stakeholder Perspectives, D Barlevy, I Cenolli, T Campbell, R Furrer, M Mukherjee, K Kostick-Quenet, S Carmi, T Lencz, G Lázaro-Muñoz, S Pereira

Center for Medical Ethics and Health Policy Staff Publications

Purpose: We explored and compared perspectives of reproductive endocrinology and infertility specialists (REIs) and in vitro fertilization (IVF) patients regarding polygenic embryo screening (PES), a new type of preimplantation screening that estimates the genetic chances of developing polygenic conditions and traits in the future.

Methods: Qualitative thematic analysis of semi-structured interviews with US-based REIs and IVF patients.

Results: Clinicians and patients often held favorable views of screening embryos for physical or psychiatric conditions, though clinicians tended to temper their positive attitudes with specific caveats. Clinicians also expressed negative views about screening embryos for traits more frequently than patients, who generally …

Somatic Mutations Of Esophageal Adenocarcinoma: A Comparison Between Black And White Patients, Hyeyeun Lim, Marie-Claude Gingras, Jing Zhao, Jinyoung Byun, Patricia D Castro, Spiridon Tsavachidis, Jianhong Hu, Harshavardhan Doddapaneni, Yi Han, Donna M Muzny, Richard A Gibbs, Christopher I Amos, Aaron P Thrift

Faculty, Staff and Students Publications

Esophageal adenocarcinoma is the most common histological subtype of esophageal cancer in Western countries and shows poor prognosis with rapid growth. EAC is characterized by a strong male predominance and racial disparity. EAC is up to fivefold more common among Whites than Blacks, yet Black patients with EAC have poorer survival rates. The racial disparity remains largely unknown, and there is limited knowledge of mutations in EAC regarding racial disparities. We used whole-exome sequencing to show somatic mutation profiles derived from tumor samples from 18 EAC male patients. We identified three molecular subgroups based on the pre-defined esophageal cancer-specific mutational …

Nivolumab Plus Chemotherapy In Epidermal Growth Factor Receptor-Mutated Metastatic Non-Small-Cell Lung Cancer After Disease Progression On Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors: Final Results Of Checkmate 722, Tony Mok, Kazuhiko Nakagawa, Keunchil Park, Yuichiro Ohe, Nicolas Girard, Hye Ryun Kim, Yi-Long Wu, Justin Gainor, Se-Hoon Lee, Chao-Hua Chiu, Sang-We Kim, Cheng-Ta Yang, Chien Liang Wu, Lin Wu, Meng-Chih Lin, Jens Samol, Kazuya Ichikado, Mengzhao Wang, Xiaoqing Zhang, Judi Sylvester, Sunney Li, Ann Forslund, James Chih-Hsin Yang

Faculty, Staff and Student Publications

PURPOSE: The phase III CheckMate 722 trial (ClinicalTrials.gov identifier: NCT02864251) evaluated nivolumab plus chemotherapy versus chemotherapy in patients with epidermal growth factor receptor (

METHODS: Patients with disease progression after first- or second-generation EGFR TKI therapy (without

RESULTS: Overall, 294 patients were randomly assigned. At final analysis (median follow-up, 38.1 months), PFS was not significantly improved with nivolumab plus chemotherapy versus chemotherapy (median, 5.6

CONCLUSION: Nivolumab plus chemotherapy did not significantly improve PFS versus chemotherapy in patients with

Effects Of Sars-Cov-2 Variants On Cd8+ T Cell Epitope Diversity: Estimating Clinical Severity In The United States, Grace Kim, Jacob Elnaggar, Maya Sevalia, Najah Nicholas, Mallory Varnado, Judy Crabtree, Lucio Miele

School of Medicine Faculty Publications

Association for Clinical and Translational Science 2024; April 3 - April 5, 2024; Las Vegas, NV

Normal Risk Ovarian Screening Study: 21-Year Update, Chae Young Han, Karen H Lu, Gwen Corrigan, Alexandra Perez, Sharlene D Kohring, Joseph Celestino, Deepak Bedi, Enrique Bedia, Therese Bevers, David Boruta, Matthew Carlson, Laura Holman, Leroy Leeds, Cara Mathews, Georgia Mccann, Richard G Moore, Matthew Schlumbrecht, Brian Slomovitz, Dan Tobias, Yvette Williams-Brown, Michael W Bevers, Jinsong Liu, Terrie G Gornet, Beverly C Handy, Zhen Lu, Jacob S Bedia, Steven J Skates, Robert C Bast

Faculty, Staff and Student Publications

Purpose: The Normal Risk Ovarian Screening Study (NROSS) tested a two-stage screening strategy in postmenopausal women at conventional hereditary risk where significantly rising cancer antigen (CA)-125 prompted transvaginal sonography (TVS) and abnormal TVS prompted surgery to detect ovarian cancer.

Methods: A total of 7,856 healthy postmenopausal women were screened annually for a total of 50,596 woman-years in a single-arm study (ClinicalTrials.gov identifier: NCT00539162). Serum CA125 was analyzed with the Risk of Ovarian Cancer Algorithm (ROCA) each year. If risk was unchanged and < 1:2,000, women returned in a year. If risk increased above 1:500, TVS was undertaken immediately, and if risk was intermediate, CA125 was repeated in 3 months with a further increase in risk above 1:500 prompting referral for TVS. An average of 2% of participants were referred to TVS annually.

Results: Thirty-four patients were referred for operations detecting 15 ovarian cancers and two borderline tumors with 12 …

The Value Of Global Collaborations, Chris Trauernicht, Laurence Court

Faculty, Staff and Student Publications

No abstract provided.

Enhancing Prognostic Power In Multiple Myeloma Using A Plasma Cell Signature Derived From Single-Cell Rna Sequencing, Jian-Rong Li, Shahram Arsang-Jang, Yan Cheng, Fumou Sun, Anita D'Souza, Binod Dhakal, Parameswaran Hari, Quillan Huang, Paul Auer, Yong Li, Raul Urrutia, Fenghuang Zhan, John D Shaughnessy, Siegfried Janz, Jing Dong, Chao Cheng

Faculty, Staff and Students Publications

Multiple myeloma (MM) is a heterogenous plasma cell malignancy, for which the established prognostic models exhibit limitations in capturing the full spectrum of outcome variability. Leveraging single-cell RNA-sequencing data, we developed a novel plasma cell gene signature. We evaluated and validated the associations of the resulting plasma cell malignancy (PBM) score with disease state, progression and clinical outcomes using data from five independent myeloma studies consisting of 2115 samples (1978 MM, 65 monoclonal gammopathy of undetermined significance, 35 smoldering MM, and 37 healthy controls). Overall, a higher PBM score was significantly associated with a more advanced stage within the spectrum …

Genome-Wide Interaction Analysis With Dash Diet Score Identified Novel Loci For Systolic Blood Pressure, Mélanie Guirette, Jessie Lan, Nicola M Mckeown, Michael R Brown, Han Chen, Paul S De Vries, Hyunju Kim, Casey M Rebholz, Alanna C Morrison, Traci M Bartz, Amanda M Fretts, Xiuqing Guo, Rozenn N Lemaitre, Ching-Ti Liu, Raymond Noordam, Renée De Mutsert, Frits R Rosendaal, Carol A Wang, Lawrence J Beilin, Trevor A Mori, Wendy H Oddy, Craig E Pennell, Jin Fang Chai, Clare Whitton, Rob M Van Dam, Jianjun Liu, E Shyong Tai, Xueling Sim, Marian L Neuhouser, Charles Kooperberg, Lesley F Tinker, Nora Franceschini, Tianxiao Huan, Thomas W Winkler, Amy R Bentley, W James Gauderman, Luc Heerkens, Toshiko Tanaka, Jeroen Van Rooij, Patricia B Munroe, Helen R Warren, Trudy Voortman, Honglei Chen, D C Rao, Daniel Levy, Jiantao Ma, Charge Gene-Lifestyle Interactions Working Group

Faculty, Staff and Student Publications

Background: The Dietary Approaches to Stop Hypertension (DASH) diet score lowers blood pressure (BP). We examined interactions between genotype and the DASH diet score in relation to systolic BP.

Methods: We analyzed up to 9 420 585 single nucleotide polymorphisms in up to 127 282 individuals of 6 population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (n=35 660) and UK Biobank (n=91 622) and performed European population-specific and cross-population meta-analyses.

Results: We identified 3 loci in European-specific analyses and an additional 4 loci in cross-population analyses at Pinteraction<5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency, 0.03) and the DASH diet score (P …