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3. 113. Human Trafficking: Voices from the Field

Author

Titchen, Kanani E, Chang, Elizabeth, and Kim, Jessica

Subjects
Biomedical and Clinical Sciences, Health Sciences, Psychology, Medical and Health Sciences, Education, Psychology and Cognitive Sciences, Public Health, Biomedical and clinical sciences, Health sciences
Published
2024

7. Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves

Author

Lautier, Jackson P., Grosser, Stella, Kim, Jessica, Kim, Hyewon, and Kim, Junghi

Subjects
Statistics - Applications, Statistics - Machine Learning
Abstract

Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential for machine learning (ML) applications within pharmacology. One such application not yet given close study is the unsupervised clustering of plasma concentration-time curves, hereafter, pharmacokinetic (PK) curves. In this paper, we present our findings on how to cluster PK curves by their similarity. Specifically, we find clustering to be effective at identifying similar-shaped PK curves and informative for understanding patterns within each cluster of PK curves. Because PK curves are time series data objects, our approach utilizes the extensive body of research related to the clustering of time series data as a starting point. As such, we examine many dissimilarity measures between time series data objects to find those most suitable for PK curves. We identify Euclidean distance as generally most appropriate for clustering PK curves, and we further show that dynamic time warping, Fr\'{e}chet, and structure-based measures of dissimilarity like correlation may produce unexpected results. As an illustration, we apply these methods in a case study with 250 PK curves used in a previous pharmacogenomic study. Our case study finds that an unsupervised ML clustering with Euclidean distance, without any subject genetic information, is able to independently validate the same conclusions as the reference pharmacogenomic results. To our knowledge, this is the first such demonstration. Further, the case study demonstrates how the clustering of PK curves may generate insights that could be difficult to perceive solely with population level summary statistics of PK metrics., Comment: 38 pages, 14 figures, 3 tables

Published
2022
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8. Hepatitis B care cascade among people with HIV/HBV coinfection in the North American AIDS Cohort Collaboration on Research and Design, 2012–2016

Author

Kim, Jessica, Newcomb, Craig W, Carbonari, Dena M, Torgersen, Jessie, Althoff, Keri N, Kitahata, Mari M, Klein, Marina B, Moore, Richard D, Reddy, K Rajender, Silverberg, Michael J, Mayor, Angel M, Horberg, Michael A, Cachay, Edward R, Lim, Joseph K, Gill, M John, Chew, Kara, Sterling, Timothy R, Hull, Mark, Seaberg, Eric C, Kirk, Gregory D, Coburn, Sally B, Lang, Raynell, McGinnis, Kathleen A, Gebo, Kelly A, Napravnik, Sonia, Kim, H Nina, Re, Vincent Lo, and Research and Design of IeDEA, for the North American AIDS Cohort Collaboration on

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Clinical Sciences, Hepatitis, Infectious Diseases, Digestive Diseases, Hepatitis - B, HIV/AIDS, Sexually Transmitted Infections, Liver Disease, Infection, Good Health and Well Being, Female, Humans, Middle Aged, Male, Hepatitis B virus, HIV Infections, Acquired Immunodeficiency Syndrome, Coinfection, Cross-Sectional Studies, DNA, Viral, Canada, Hepatitis B, Tenofovir, North American AIDS Cohort Collaboration on Research and Design of IeDEA, General Science & Technology
Abstract

A care cascade is a critical tool for evaluating delivery of care for chronic infections across sequential stages, starting with diagnosis and ending with viral suppression. However, there have been few data describing the hepatitis B virus (HBV) care cascade among people living with HIV infection who have HBV coinfection. We conducted a cross-sectional study among people living with HIV and HBV coinfection receiving care between January 1, 2012 and December 31, 2016 within 13 United States and Canadian clinical cohorts contributing data to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). We evaluated each of the steps in this cascade, including: 1) laboratory-confirmed HBV infection, 2) tenofovir-based or entecavir-based HBV therapy prescribed, 3) HBV DNA measured during treatment, and 4) viral suppression achieved via undetectable HBV DNA. Among 3,953 persons with laboratory-confirmed HBV (median age, 50 years; 6.5% female; 43.8% were Black; 7.1% were Hispanic), 3,592 (90.9%; 95% confidence interval, 90.0-91.8%) were prescribed tenofovir-based antiretroviral therapy or entecavir along with their antiretroviral therapy regimen, 2,281 (57.7%; 95% confidence interval, 56.2-59.2%) had HBV DNA measured while on therapy, and 1,624 (41.1%; 95% confidence interval, 39.5-42.6) achieved an undetectable HBV DNA during HBV treatment. Our study identified significant gaps in measurement of HBV DNA and suppression of HBV viremia among people living with HIV and HBV coinfection in the United States and Canada. Periodic evaluation of the HBV care cascade among persons with HIV/HBV will be critical to monitoring success in completion of each step.

Published
2023

9. Comparing AimswebPlus to the Benchmark Assessment System for Universal Screening in Upper Elementary Grades

Author

Klingbeil, David A., Van Norman, Ethan R., Osman, David J., Berry-Corie, Kimberly, Carberry, Caroline K., and Kim, Jessica S.

Abstract

Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy of aimswebPlus reading scores to the Benchmark Assessment System scores. We used data from a mid-size city in Texas to retrospectively compare the classification accuracy between fall aimswebPlus reading composites to the Benchmark Assessment System scores when predicting student performance on the statewide reading test. When classification decisions were made based on the vendor-recommended cut-scores, both measures were insufficiently sensitive for screening in MTSS. Following aimswebPlus' recommended method for establishing local-cut scores improved the sensitivity of decisions, but the specificity values were well below minimally acceptable levels. Limitations, directions for future research, and implications for practice are discussed.

Published
2023
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10. Universal Screening with aimswebPlus Reading in Middle School

Author

Klingbeil, David A., Osman, David J., Van Norman, Ethan R., Berry-Corie, Kimberly, Kim, Jessica S., Schmitt, Madeline C., and Latham, Alexander D.

Abstract

Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The classification accuracy of aimswebPlus reading, a newly updated version of a popular suite of screening tools, has not been independently examined in middle school since its release. We used districtwide data from a midsize city in Texas to retrospectively examine the classification accuracy of aimswebPlus reading composite scores from the fall and winter benchmarking periods. The criterion measure was the annual statewide reading test administered in spring. To provide a comparison for the aimswebPlus results, we also evaluated the accuracy of screening decisions made based on prior year statewide reading test scores. Decisions made based on the aimswebPlus "default" cut-scores resulted in unacceptable sensitivity for universal screening. Following the aimswebPlus recommended method to establish local cut-scores improved the sensitivity of decisions in each grade and benchmarking season but the sensitivity values still fell below recommendations for minimally acceptable sensitivity. In comparison, decisions made based on prior year state test scores demonstrated adequate sensitivity and specificity in Grades 7 and 8. Directions for future research and recommendations for practice are discussed within the context of study limitations.

Published
2023
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12. Village-integrated eye workers for prevention of corneal ulcers in Nepal (VIEW study): a cluster-randomised controlled trial

Author

O’Brien, Kieran S, Byanju, Raghunandan, Kandel, Ram P, Poudyal, Bimal, Gonzales, John A, Porco, Travis C, Whitcher, John P, Srinivasan, Muthiah, Upadhyay, Madan, Lietman, Thomas M, Keenan, Jeremy D, Group, Village-Integrated Eye Worker Trial, Khadka, Kamal Bahadur, Bista, Dikshya, Gautam, Mariya, Giri, Puspa, Kayastha, Sajani, Parajuli, Tulsi Prasad, Shah, Ranjeet Kumar, Sharma, Niraj, Sharma, Prafulla, Shrestha, Anju, Shrestha, Manisha, Subedi, Pradeep, Chaudhary, Daya Shankar, Ghimire, Ramesh, Adhikari, Manmohan, Hamal, Vivek, Bhandari, Gopal, Dahal, Gokul, Bhandari, Sadhan, Gurung, Jeevan, Bhattarai, Dipak, Bhattarai, Rabin, Chapagain, Dipak, Chaudhary, Ajay Kumar, Gautam, Shree Krishna, Gurau, Dhanmaya, Kandel, Deepak, Lamichhane, Pradip Chandara, Rijal, Rajendra, Giri, Gaurav, Acharya, Nisha R, McLeod, Stephen D, Ramirez, David A, Ray, Kathryn J, Rose-Nussbaumer, Jennifer, O'Brien, Kieran S, Cotter, Sun Y, Kim, Jessica, Lee, Salena, Maamari, Robi N, Basset, Ken, Chase, Heidi, Evans, Lauren, Gilbert, Suzanne, Kandel, Ram Prasad, Moses, Deborah, Tenzing, Chundak, Choudhary, Shravan, Dhakwa, Parami, Fletcher, Daniel A, and Reber, Clay D

Subjects
Epidemiology, Health Services and Systems, Public Health, Health Sciences, Eye Disease and Disorders of Vision, Clinical Research, Prevention, Clinical Trials and Supportive Activities, Infection, Eye, Agricultural Workers' Diseases, Cluster Analysis, Community Health Workers, Corneal Injuries, Corneal Ulcer, Female, Humans, Nepal, Volunteers, Village-Integrated Eye Worker Trial Group, Microbiology, Public Health and Health Services, Health services and systems, Public health
Abstract

BackgroundCorneal ulcers are a common cause of blindness in low-income and middle-income countries, usually resulting from traumatic corneal abrasions during agricultural work. Antimicrobial prophylaxis of corneal abrasions can help prevent corneal ulcers, but delays in the initiation of therapy are frequent. We aimed to assess whether a community-based programme for corneal ulcer prevention would reduce the incidence of corneal ulceration.MethodsA cluster-randomised trial was performed in village development committees (VDCs) in Nepal. VDCs in the catchment area of Bharatpur Eye Hospital, Nepal with less than 15 000 people were eligible for inclusion. We randomly assigned (1:1) VDCs to either an intervention group or a control group. In the intervention VDCs, existing female community health volunteers (FCHVs) were trained to diagnose corneal abrasions and provide a 3-day course of ophthalmic antimicrobials to their patients. In the control VDCs, FCHVs did not provide this intervention. Participants were not masked given the nature of the intervention. Both groups were followed up for 3 years for photographic evidence of corneal ulceration. The primary outcome was the incidence of corneal ulceration, determined by masked assessment of corneal photographs. The analysis was by intention to treat. This trial is registered with ClinicalTrials.gov, NCT01969786.FindingsWe assessed 112 VDCs, of which 24 were enrolled. The study was performed between Feb 4, 2014, and Oct 20, 2017. 12 VDCs were randomly assigned to the intervention group and 12 to the control group. 252 539 individuals were included in the study (130 579 in the intervention group and 121 960 in the control group). FCHVs diagnosed and provided antimicrobials for 4777 corneal abrasions. The census identified 289 corneal ulcers among 246 893 person-years in the intervention group (incidence 1·21 cases [95% CI 0·85-1·74] per 1000 person-years) and 262 corneal ulcers among 239 170 person-years in the control group (incidence 1·18 cases [0·82-1·70] per 1000 person-years; incidence rate ratio 1·03 [95% CI 0·63-1·67]; p=0·93). Medication allergy was self-reported in 0·2% of participants.InterpretationWe did not detect a reduction in the incidence of corneal ulceration during the first 3 years of a community-based corneal ulcer prevention programme. Further study might be warranted in more rural areas where basic eye care facilities are not available.FundingNational Eye Institute.

Published
2022

13. Strong immunogenicity & protection in mice with PlaCCine: A COVID-19 DNA vaccine formulated with a functional polymer

Author

Sood, Subeena, Matar, Majed M., Kim, Jessica, Kinsella, Meredyth, Rayavara, Kempaiah, Signer, Olivia, Henderson, John, Rogers, Joseph, Chawla, Bhavna, Narvaez, Brandon, Van Ry, Alex, Kar, Swagata, Arnold, Austin, Rice, Jennifer S., Smith, Alanna M., Su, Daishui, Sparks, Jeff, Le Goff, Corinne, Boyer, Jean D., and Anwer, Khursheed

Published
2024
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14. How to pick a gym membership; Costs are going up, but so are options and competitions, McGill University executive director says

Author

Kim, Jessica

Subjects
Executives -- Beliefs, opinions and attitudes, Health clubs -- Membership -- Finance, Company financing, General interest, News, opinion and commentary
Abstract

Byline: Jessica Kim; Special to The Globe and Mail When Makaila Atsonglo moved from the Greater Toronto Area to London, Ont., and began searching for a new gym that fit [...]

Published
2024

17. Impact of Decipher on use of post-operative radiotherapy: Individual patient analysis of two prospective registries.

Author

Shahait, Mohammed, Liu, Vinnie, Vapiwala, Neha, Lal, Priti, Kim, Jessica, Trabulsi, Eduard, Huang, Huei-Chung, Davicioni, Elai, Thompson, Darby, Spratt, Daniel, Den, Robert, and Lee, David

Subjects
biomarkers, prostate cancer, radiation
Abstract

OBJECTIVE: To assess the association between Genomic Classifier (GC)-risk group and post-radical prostatectomy treatment in clinical practice. METHODS: Two prospective observational cohorts of men with prostate cancer (PCa) who underwent RP in two referral centers and had GC testing post-prostatectomy between 2013 and 2018 were included. The primary endpoint of the study was to assess the association between GC-risk group and time to secondary therapy. Univariable (UVA) and multivariable (MVA) Cox proportional hazards models were constructed to assess the association between GC-risk group and time to receipt of secondary therapy after RP, where secondary therapy is defined as receiving either RT or ADT after RP. RESULTS: A total of 398 patients are included in the analysis. Patients with high-GC risk were more likely to receive any secondary therapy (OR: 6.84) compared to patients with low/intermediate-GC risk. The proportion of high-GC risk patients receiving RT at 2 years post-RP was 31.5%, compared to only 6.3% among the low/intermediate-GC risk patients. CONCLUSION: This study demonstrates that physicians in routine practice used GC to identify high risk patients who might benefit the most from secondary treatment. As such, GC score was independent predictor of receipt of secondary treatment.

Published
2021

18. Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2

Author

Leo, Patrick, Chandramouli, Sacheth, Farré, Xavier, Elliott, Robin, Janowczyk, Andrew, Bera, Kaustav, Fu, Pingfu, Janaki, Nafiseh, El-Fahmawi, Ayah, Shahait, Mohammed, Kim, Jessica, Lee, David, Yamoah, Kosj, Rebbeck, Timothy R, Khani, Francesca, Robinson, Brian D, Shih, Natalie NC, Feldman, Michael, Gupta, Sanjay, McKenney, Jesse, Lal, Priti, and Madabhushi, Anant

Subjects
Clinical Research, Bioengineering, Prostate Cancer, Cancer, Patient Safety, Urologic Diseases, Eosine Yellowish-(YS), Hematoxylin, Humans, Male, Neoplasm Recurrence, Local, Prognosis, Prostate, Prostatectomy, Prostatic Neoplasms, Biochemical recurrence, Cribriform, Digital pathology, Gleason grading, Machine learning, Prostate cancer, Clinical Sciences
Abstract

BackgroundThe presence of invasive cribriform adenocarcinoma (ICC), an expanse of cells containing punched-out lumina uninterrupted by stroma, in radical prostatectomy (RP) specimens has been associated with biochemical recurrence (BCR). However, ICC identification has only moderate inter-reviewer agreement.ObjectiveTo investigate quantitative machine-based assessment of the extent and prognostic utility of ICC, especially within individual Gleason grade groups.Design, setting, and participantsA machine learning approach was developed for ICC segmentation using 70 RP patients and validated in a cohort of 749 patients from four sites whose median year of surgery was 2007 and with median follow-up of 28 mo. ICC was segmented on one representative hematoxylin and eosin RP slide per patient and the fraction of tumor area composed of ICC, the cribriform area index (CAI), was measured.Outcome measurements and statistical analysisThe association between CAI and BCR was measured in terms of the concordance index (c index) and hazard ratio (HR).Results and limitationsCAI was correlated with BCR (c index 0.62) in the validation set of 411 patients with ICC morphology, especially those with Gleason grade group 2 cancer (n = 192; c index 0.66), and was less prognostic when patients without ICC were included (c index 0.54). A doubling of CAI in the group with ICC morphology was prognostic after controlling for Gleason grade, surgical margin positivity, preoperative prostate-specific antigen level, pathological T stage, and age (HR 1.19, 95% confidence interval 1.03-1.38; p = 0.018).ConclusionsAutomated image analysis and machine learning could provide an objective, quantitative, reproducible, and high-throughput method of quantifying ICC area. The performance of CAI for grade group 2 cancer suggests that for patients with little Gleason 4 pattern, the ICC fraction has a strong prognostic role.Patient summaryMachine-based measurement of a specific cell pattern (cribriform; sieve-like, with lots of spaces) in images of prostate specimens could improve risk stratification for patients with prostate cancer. In the future, this could help in expanding the criteria for active surveillance.

Published
2021

19. Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study.

Author

Leo, Patrick, Janowczyk, Andrew, Elliott, Robin, Janaki, Nafiseh, Bera, Kaustav, Shiradkar, Rakesh, Farré, Xavier, Fu, Pingfu, El-Fahmawi, Ayah, Shahait, Mohammed, Kim, Jessica, Lee, David, Yamoah, Kosj, Rebbeck, Timothy R, Khani, Francesca, Robinson, Brian D, Eklund, Lauri, Jambor, Ivan, Merisaari, Harri, Ettala, Otto, Taimen, Pekka, Aronen, Hannu J, Boström, Peter J, Tewari, Ashutosh, Magi-Galluzzi, Cristina, Klein, Eric, Purysko, Andrei, Nc Shih, Natalie, Feldman, Michael, Gupta, Sanjay, Lal, Priti, and Madabhushi, Anant

Abstract

Existing tools for post-radical prostatectomy (RP) prostate cancer biochemical recurrence (BCR) prognosis rely on human pathologist-derived parameters such as tumor grade, with the resulting inter-reviewer variability. Genomic companion diagnostic tests such as Decipher tend to be tissue destructive, expensive, and not routinely available in most centers. We present a tissue non-destructive method for automated BCR prognosis, termed "Histotyping", that employs computational image analysis of morphologic patterns of prostate tissue from a single, routinely acquired hematoxylin and eosin slide. Patients from two institutions (n = 214) were used to train Histotyping for identifying high-risk patients based on six features of glandular morphology extracted from RP specimens. Histotyping was validated for post-RP BCR prognosis on a separate set of n = 675 patients from five institutions and compared against Decipher on n = 167 patients. Histotyping was prognostic of BCR in the validation set (p

Published
2021

24. Barrio America: How Latino Immigrants Saved the American City

Author

Kim, Jessica

Subjects
Barrio America: How Latino Immigrants Saved the American City (Nonfiction work) -- Sandoval-Strausz, A.K., Books -- Book reviews, Ethnic, cultural, racial issues/studies, History
Abstract

Barrio America: How Latino Immigrants Saved the American City. By A.K. Sandoval-Strausz. New York: Basic Books, 2019. 416 pp. Illustrations, maps, notes, bibliography, and index. $32 (paper); $18.99 (e-book). A. [...]

Published
2023

25. Incidence and impact of acute urinary retention after robot-assisted radical prostatectomy.

Author

Shahait, Mohammed, Hockenberry, Mark, Suzy, NA, Kim, Jessica, McWilliams, Kellie, and Lee, David I

Subjects
Acute urine retention, Prostate cancer, Robotic prostatectomy, Urinary continence, Prevention, Clinical Sciences, Oncology and Carcinogenesis
Abstract

ObjectiveTo explore the incidence of and potential risk factors for acute urine retention (AUR) after robot-assisted radical prostatectomy (RARP) and its effect on early urine continence.MethodsA retrospective analysis of patients who underwent RARP by a single surgeon between July 2016 and June 2017 was performed to assess the incidence of AUR and its effect on early continence. Continence was assessed through self-reported questionnaires completed approximately three months after surgery. Early urine continence was defined as using zero pads per day at the time of the three-month follow-up. Descriptive statistics and logistic regression analysis were used to assess independent predictor of AUR.ResultsOf 379 patients, 19 (5%) developed AUR after RARP. No significant difference in baseline characteristics between those who developed AUR post-RARP and those who did not. There was no statistically significant difference in the reported early continence and number of pads used per day between patients with AUR and patients without AUR (31.6% vs. 23.1%, P = 0.39), (1.6 vs. 1.4, P = 0.913), respectively.ConclusionAUR post-RARP is an infrequent postoperative complication with no impact on early continence rate. No patient-related factors were associated with the development of AUR.

Published
2020

28. Sleep-wake body temperature regulates tau secretion in mice and correlates with CSF and plasma tau in humans

Author

Canet, Geoffrey, primary, Monteiro, Felipe Da Gama, additional, Rocaboy, Emma, additional, Diego-Diaz, Sofia, additional, Khelaifia, Boutheyna, additional, Kim, Jessica, additional, Valencia, Daphne, additional, Yin, Audrey, additional, Wu, Hau-Tieng, additional, Howell, Jordan, additional, Blank, Emily, additional, Laliberté, Francis, additional, Fortin, Nadia, additional, Boscher, Emmanuelle, additional, Fereydouni-Forouzandeh, Parissa, additional, Champagne, Stéphanie, additional, Guisle, Isabelle, additional, Hébert, Sébastien, additional, Pernet, Vincent, additional, Liu, Haiyan, additional, Lu, William, additional, Debure, Ludovic, additional, Rapoport, David, additional, Ayappa, Indu, additional, Varga, Andrew, additional, Parekh, Ankit, additional, Osorio, Ricardo, additional, Lacroix, Steve, additional, Lucey, Brendan, additional, Blessing, Esther, additional, and Planel, Emmanuel, additional

Published
2024
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29. Facebook and Twitter vaccine sentiment in response to measles outbreaks

Author

Deiner, Michael S, Fathy, Cherie, Kim, Jessica, Niemeyer, Katherine, Ramirez, David, Ackley, Sarah F, Liu, Fengchen, Lietman, Thomas M, and Porco, Travis C

Subjects
Information and Computing Sciences, Health Services and Systems, Applied Computing, Health Sciences, Immunization, Prevention, Vaccine Related, 3.4 Vaccines, Prevention of disease and conditions, and promotion of well-being, Good Health and Well Being, Disease Outbreaks, Humans, Measles, Social Media, United States, Vaccination, measles, patient compliance, social media, treatment refusal, vaccination, Information Systems, Library and Information Studies, Medical Informatics, Health services and systems, Applied computing
Abstract

Social media posts regarding measles vaccination were classified as pro-vaccination, expressing vaccine hesitancy, uncertain, or irrelevant. Spearman correlations with Centers for Disease Control and Prevention-reported measles cases and differenced smoothed cumulative case counts over this period were reported (using time series bootstrap confidence intervals). A total of 58,078 Facebook posts and 82,993 tweets were identified from 4 January 2009 to 27 August 2016. Pro-vaccination posts were correlated with the US weekly reported cases (Facebook: Spearman correlation 0.22 (95% confidence interval: 0.09 to 0.34), Twitter: 0.21 (95% confidence interval: 0.06 to 0.34)). Vaccine-hesitant posts, however, were uncorrelated with measles cases in the United States (Facebook: 0.01 (95% confidence interval: -0.13 to 0.14), Twitter: 0.0011 (95% confidence interval: -0.12 to 0.12)). These findings may result from more consistent social media engagement by individuals expressing vaccine hesitancy, contrasted with media- or event-driven episodic interest on the part of individuals favoring current policy.

Published
2019

30. Community-level chlamydial serology for assessing trachoma elimination in trachoma-endemic Niger.

Author

Kim, Jessica S, Oldenburg, Catherine E, Cooley, Gretchen, Amza, Abdou, Kadri, Boubacar, Nassirou, Baido, Cotter, Sun Yu, Stoller, Nicole E, West, Sheila K, Bailey, Robin L, Keenan, Jeremy D, Gaynor, Bruce D, Porco, Travis C, Lietman, Thomas M, and Martin, Diana L

Subjects
Humans, Chlamydia trachomatis, Trachoma, Azithromycin, Bacterial Proteins, DNA, Bacterial, Antibodies, Bacterial, Antigens, Bacterial, Anti-Bacterial Agents, Endemic Diseases, Child, Preschool, Infant, Infant, Newborn, Niger, Disease Eradication, Mass Drug Administration, DNA, Bacterial, Antibodies, Antigens, Child, Preschool, Newborn, Biological Sciences, Medical and Health Sciences, Tropical Medicine
Abstract

BACKGROUND:Program decision-making for trachoma elimination currently relies on conjunctival clinical signs. Antibody tests may provide additional information on the epidemiology of trachoma, particularly in regions where it is disappearing or elimination targets have been met. METHODS:A cluster-randomized trial of mass azithromycin distribution strategies for trachoma elimination was conducted over three years in a mesoendemic region of Niger. Dried blood spots were collected from a random sample of children aged 1-5 years in each of 24 study communities at 36 months after initiation of the intervention. A multiplex bead assay was used to test for antibodies to two Chlamydia trachomatis antigens, Pgp3 and CT694. We compared seropositivity to either antigen to clinical signs of active trachoma (trachomatous inflammation-follicular [TF] and trachomatous inflammation-intense [TI]) at the individual and cluster level, and to ocular chlamydia prevalence at the community level. RESULTS:Of 988 children with antibody data, TF prevalence was 7.8% (95% CI 6.1 to 9.5) and TI prevalence was 1.6% (95% CI 0.9 to 2.6). The overall prevalence of antibody positivity to Pgp3 was 27.2% (95% CI 24.5 to 30), and to CT694 was 23.7% (95% CI 21 to 26.2). Ocular chlamydia infection prevalence was 5.2% (95% CI 2.8 to 7.6). Seropositivity to Pgp3 and/or CT694 was significantly associated with TF at the individual and community level and with ocular chlamydia infection and TI at the community level. Older children were more likely to be seropositive than younger children. CONCLUSION:Seropositivity to Pgp3 and CT694 correlates with clinical signs and ocular chlamydia infection in a mesoendemic region of Niger. TRIAL REGISTRATION:ClinicalTrials.gov NCT00792922.

Published
2019

31. Differential Cell Susceptibilities to Kras G12D in the Setting of Obstructive Chronic Pancreatitis

Author

Shi, Chanjuan, Pan, Fong Cheng, Kim, Jessica N, Washington, M Kay, Padmanabhan, Chandrasekhar, Meyer, Christian T, Kopp, Janel L, Sander, Maike, Gannon, Maureen, Beauchamp, R Daniel, Wright, Christopher V, and Means, Anna L

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Pancreatic Cancer, Digestive Diseases, Rare Diseases, Genetics, 2.1 Biological and endogenous factors, Aetiology, Acinar Cells, Animals, Carcinogenesis, Carcinoma, Pancreatic Ductal, Cell Transformation, Neoplastic, Disease Models, Animal, Genes, ras, Metaplasia, Mice, Mutation, Pancreatic Neoplasms, Pancreatitis, Chronic, Precancerous Conditions, Proto-Oncogene Proteins p21(ras), Signal Transduction, Cdkn1a, Cell of Origin, Acinar-to-Ductal Metaplasia, Pancreatic Duct Ligation, Biochemistry and cell biology, Clinical sciences
Abstract

Background & aimsActivating mutation of the KRAS gene is common in some cancers, such as pancreatic cancer, but rare in other cancers. Chronic pancreatitis is a predisposing condition for pancreatic ductal adenocarcinoma (PDAC), but how it synergizes with KRAS mutation is not known.MethodsWe used a mouse model to express an activating mutation of Kras in conjunction with obstruction of the main pancreatic duct to recapitulate a common etiology of human chronic pancreatitis. Because the cell of origin of PDAC is not clear, Kras mutation was introduced into either duct cells or acinar cells.ResultsAlthough KrasG12D expression in both cell types was protective against damage-associated cell death, chronic pancreatitis induced p53, p21, and growth arrest only in acinar-derived cells. Mutant duct cells did not elevate p53 or p21 expression and exhibited increased proliferation driving the appearance of PDAC over time.ConclusionsOne mechanism by which tissues may be susceptible or resistant to KRASG12D-initiated tumorigenesis is whether they undergo a p53-mediated damage response. In summary, we have uncovered a mechanism by which inflammation and intrinsic cellular programming synergize for the development of PDAC.

Published
2019

33. Village-integrated eye workers for prevention of corneal ulcers in Nepal (VIEW study): a cluster-randomised controlled trial

Author

Srinivasan, Muthiah, Byanju, Raghunandan, Khadka, Kamal Bahadur, Bista, Dikshya, Gautam, Mariya, Giri, Puspa, Kayastha, Sajani, Parajuli, Tulsi Prasad, Shah, Ranjeet Kumar, Sharma, Niraj, Sharma, Prafulla, Shrestha, Anju, Shrestha, Manisha, Subedi, Pradeep, Chaudhary, Daya Shankar, Ghimire, Ramesh, Adhikari, Manmohan, Hamal, Vivek, Bhandari, Gopal, Dahal, Gokul, Poudyal, Bimal, Bhandari, Sadhan, Gurung, Jeevan, Bhattarai, Dipak, Bhattarai, Rabin, Chapagain, Dipak, Chaudhary, Ajay Kumar, Gautam, Shree Krishna, Gurau, Dhanmaya, Kandel, Deepak, Lamichhane, Pradip Chandara, Rijal, Rajendra, Giri, Gaurav, Upadhyay, Madan, Lietman, Thomas M, Acharya, Nisha R, Gonzales, John A, Keenan, Jeremy D, McLeod, Stephen D, Ramirez, David A, Ray, Kathryn J, Rose-Nussbaumer, Jennifer, Whitcher, John P, O'Brien, Kieran S, Cotter, Sun Y, Kim, Jessica, Lee, Salena, Maamari, Robi N, Porco, Travis C, Basset, Ken, Chase, Heidi, Evans, Lauren, Gilbert, Suzanne, Kandel, Ram Prasad, Moses, Deborah, Tenzing, Chundak, Choudhary, Shravan, Dhakwa, Parami, Fletcher, Daniel A, Reber, Clay D, O’Brien, Kieran S, and Kandel, Ram P

Published
2022
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34. Aspirin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Author

Abani, Obbina, Abbas, Ali, Abbas, Fatima, Abbas, Mustafa, Abbasi, Sadia, Abbass, Hakam, Abbott, Alfie, Abdallah, Nabeel, Abdelaziz, Ashraf, Abdelfattah, Mohamed, Abdelqader, Bushra, Abdul, Basir, Abdul Rasheed, Althaf, Abdulakeem, Ajibode, Abdul-Kadir, Rezan, Abdullah, Abdullah, Abdulmumeen, Abdulfatahi, Abdul-Raheem, Rasheed, Abdulshukkoor, Niyaz, Abdusamad, Kula, Abed El Khaleq, Yazeed, Abedalla, Mai, Abeer Ul Amna, Abeer Ul Amna, Abernethy, Katrina, Aboaba, Adebanke, Abo-Leyah, Hani, Abou-Haggar, Ahmed, Abouibrahim, Mahmoud, Abraham, Miriam, Abraham, Tizzy, Abraheem, Abraheem, Abrams, Judith, Abu, Hyacinth-John, Abu-Arafeh, Ahmed, Abubacker, Syed Mohamed, Abung, Akata, Aceampong, Yaa, Achara, Amaka, Acharya, Devikumar, Acheampong, Sarah, Acheson, Janet, Acosta, Andres, Acton, Catherine, Adabie-Ankrah, Jacqueline, Adam, Fiona, Adam, Matthew, Adamali, Huzaifa, Adams, Carol, Adams, Charlotte, Adams, Kate, Adams, Richard, Adams, Tim, Adcock, Kirsty, Adebiyi, Ade, Adegoke, Ken, Adell, Vicki, Adenwalla, Sherna, Adesemoye, Oluwasegun A, Adewunmi, Emmanuel O, Adeyemi, Joyce, Adhikari, Binay, Adhikary, Rina, Adkins, Gabrielle, Adnan, Adnan, Aeron-Thomas, John, Affleck, Debbie, Afnan, Carmel, Afridi, Muhammad, Aftab, Zainab A, Agarwal, Meenakshi, Agbeko, Rachel, Agbo, Chris, Aggarwal, Sunil, Aghababaie, Arameh, Ahamed Sadiq, Shafana, Ahammed Nazeer, Mohamed H, Ahmad, Mohammad, Ahmad, Syed, Ahmed, Asim, Ahmed, Bilal, Ahmed, Forizuddin, Ahmed, Hamze, Ahmed, Iram, Ahmed, Irshad, Ahmed, Khaled, Ahmed, Liban, Ahmed, Mahin, Ahmed, Maria C, Ahmed, Muhammad S, Ahmed, Naseer, Ahmed, Nausheen, Ahmed, Osama, Ahmed, Rajia A, Ahmed, Rizwan, Ahmed, Saif, Ahmed, Sammiya, Ahmed, Sara, Ahmed, Syed, Ahmed, Syed Haris, Ahmed Ali, Roa, Ahmed, Sana, Ahmer, Sana, Ail, Dhiraj, Ainsworth, Mark, Aissa, Myriam, Aitken, Lindianne, Ajay, Bini, Ajibode, Abdulakeem, Ajmi, Ayesha, Akhtar, Nasim, Akhtar, Nauman, Akili, Suha, Akindolie, Oludoyinsola, Akinfenwa, Yinka, Akinkugbe, Olugbenga, Akinpelu, Ibrahim, Aktinade, Olugbenro, Al Aaraj, Ahmad, Al Balushi, Asma, Al Dakhola, Majd, Al Swaifi, Aladdin, Al-Abadi, Eslam, Aladangady, Narendra, Alam, Ayaz, Alam, Sajid, Al-Asadi, Abbas, Alatzoglou, Kyriaki, Albert, Paul, Albon, Lorraine, Alcorn, Gemma, Alcorn, Stephen, Aldana, Aggie, Alderdice, David, Aldouri, Rayan, Aldridge, Jonathan, Aldridge, Nicolas, Alegria, Ana, Alexander, Alison, Alexander, John, Alexander, Peter D G, Al-Fori, Julyan, Alghazawi, Laith, Al-Hakim, Bahij, Al-Hity, Shams, Ali, Ali, Ali, Asad, Ali, Fawzia R, Ali, Jawad, Ali, Mariam, Ali, Mohammad, Ali, Nayab, Ali, Oudai, Ali, Sakina, Ali, Syed, Alina, Abid, Aliyuda, Fine, Alizadeh, Katrin, Al-Jibury, Maithem, Al-Juboori, Saba, Al-Khalil, Majid, Alkhusheh, Moutaz, Allan, Fiona, Allanson, Alison, Allcock, Robert, Allen, Eireann, Allen, Kerry, Allen, Louise, Allen, Poppy, Allen, Rebecca, Allen, Sam, Allen, Sharon, Allen, Simon, Allison, Kathryn, Allman, Bethan, Allsop, Lynne, Al-Moasseb, Hassan, Al-Obaidi, Magda, Alomari, Lina, Al-Rabahi, Akram, Al-Ramadhani, Bahar, Al-Saadi, Zayneb, Alshaer, Inji, Al-Shahi Salman, Rustam, Al-Shamkhani, Warkaq, Al-Sheklly, Bashar, Altaf, Sara, Alvarez, Mary, Alzetani, Maysaa, Amamou, Susan, Amar, Noor, Ambalavanan, Sakkarai, Ambler, Sarah-Jayne, Ambrogetti, Robert, Ambrose, Chris, Ameen, Amir, Amezaga, Maria R, Amin, Allison, Amin, Amina, Amin, Kanish, Amin, Syed, Amin, Tara, Amjad, Amjad, Amjad, Neelma, Amosun, Victoria, Amsha, Khaled, Amy, Pugh, Anand, Atul, Anandappa, Samantha, Anderson, Julie, Anderson, Laura, Anderson, Michelle, Anderson, Nicola, Anderson, Rachel, Anderson, Rory, Anderson, Wendy, Andreou, Prematie, Andrews, Angela, Andrews, Antonette, Andrews, Jill, Aneke, Kanayochukwu, Ang, Andrew, Ang, Wan Wei, Angel, Tammy, Angela, Aramburo, Angelini, Paola, Anguvaa, Lazarus, Anichtchik, Oleg, Anim-Somuah, Millicent, Aniruddhan, Krishnan, Annett, Jessica, Anstey, Patrick James, Anstey, Rebekah, Anthony, Alpha, Anthony-Pillai, Aaron, Antill, Philip, Antonina, Zhelyazkova, Anu, Varghese, Anwar, Muhammad, Apostolopoulos, Aristeidis, Appleby, Sarah, Appleyard, Diane, Aquino, Maia Far, Araba, Bianca, Aransiola, Samuel, Araujo, Mariana, Archer, Ann, Archer, Denise, Archer, Simon, Ardley, Christian, Arias, Ana-Maria, Arimoto, Ryoki, Arkley, Charlotte, Armah, Charlotte, Armata, Ilianna, Armitage, Adam, Armstrong, Ceri, Armstrong, Maureen, Armstrong, Sonia, Armtrong, Philippa, Arndt, Heike, Arnison-Newgass, Clare, Arnold, David, Arnold, Rachael, Arora, Dhawal, Arora, Kavan, Arora, Pardeep, Arora, Rishi, Arter, Arslam, Arya, Ayush, Arya, Rita, Asandei, Denisa, Asghar, Adeeba, Ashbrook-Raby, Catherine, Ashby, Helen, Ashcroft, Jan, Ashcroft, John, Ashcroft, Samuel, Asher, Georgia, Ashfaq, Ayesha, Ashish, Abdul, Ashman-Flavell, Sally, Ashok, Sundar, Ashour, Abd-El-Aziz, Ashraf, Muhammad Zubair, Ashraf, Saima, Ashraq, Mohammad Bilal, Ashton, Deborah, Ashton, Susan, Ashworth, Andrew, Ashworth, Rebecca, Aslam, Arshia, Asogan, Harshini, Asrar, Atif, Assaf, Omar, Astin-Chamberlain, Raine, Athorne, Deborah, Atkins, Billie, Atkins, Christopher, Atkins, Stacey, Atkinson, John, Atkinson, Vicki, Atraskiewicz, Brygitta, Attia, Abdul Ahmad, Aubrey, Paula, Aujayeb, Avinash, Aung, Aye Chan Thar, Aung, Hnin, Aung, Kyaw Thu, Aung, Yin, Aung, Zaw Myo, Austin, Emily, Austin, Karen, Auwal, Abdusshakur, Avery, Miriam, Aveyard, Nicholas, Avis, Joanne, Aviss, Georgina, Avram, Cristina, Avram, Paula, Awadzi, Gabriel, Awan, Atia, Aya, Aszad, Ayaz, Eman, Ayers, Amanda, Azam, Jawwad, Azharuddin, Mohammed, Aziz, Ghazala, Aziz, N, Azkoul, Ali, Azman Shah, Ashaari, Azzopardi, Giada, Azzoug, Hocine, Babatunde, Fiyinfoluwa, Babi, Melvin, Babiker, Babiker, Babington, Gayna, Babirecki, Matthew, Babores, Marta, Babs-Osibodu, Adetona O, Bacciarelli, Sammy, Bachar, Roudi, Bacon, Gina, Bacon, Jenny, Badal, Bibi, Badhan, Gurpreet Rani, Badhrinarayanan, Shreya, Bae, Joseph P, Baggaley, Alice, Baggott, Amy, Bagley, Graham, Bagmane, Dinesh, Bagshaw, Lynsey, Bahadori, Kasra, Bailey, James, Bailey, Katie, Bailey, Lindsey, Bailey, Liz, Bailey, Morgan, Bailey, Pippa, Bailey, Sarah, Baillie, Hamish, Baillie, J Kenneth, Bain, Jennifer, Bains, Vikram, Baird, David, Baird, Kevin, Baird, Susan, Baird, Tracy, Baird, Yolanda, Bajandouh, Aiysha, Baker, Evelyn, Baker, Johanne, Baker, Josephine, Baker, Kenneth, Baker, Rebecca, Baker, Terri-Anne, Baker, Victoria, Bakere, Hugh, Bakerly, Nawar, Baker-Moffatt, Michelle, Bakhtiar, Nauman, Bakoulas, Panos, Balachandran, Niranjan, Balan, Andrea, Balaskas, Theodosios, Balasubramaniam, Madhu, Balcombe, Alison, Baldwin, Alexander, Baldwin, Ashley, Baldwin, Caron, Baldwin, Danielle, Baldwin-Jones, Rebekah, Balfour, James, Ball, Matthew, Ballard, K, Balluz, Ismael, Balmforth, Craig, Balogh, Emese, Baluwala, Amir, Bambridge, Gabby, Bamford, Alasdair, Bamford, Amy, Bamford, Peter, Bamgboye, Adefunke, Bancroft, Elizabeth, Bancroft, Hollie, Banda, Joyce, Bandaru, Krishna, Bandi, Srini, Bandla, Nageswar, Bandyopadhyam, Somaditya, Banerjee, Amit, Banerjee, Ritwik, Banks, Harrison, Banks, Luke, Banks, Paul, Bannister, Oliver, Banton, Laura, Bao, Tran, Baptist, Mariamma, Baqai, Tanya, Baral, Ananya Mouli, Baramova, Desislava, Barber, Russel, Barbon, Emma, Barbosa, Monica, Barbour, Jamie, Barclay, Alexander, Barclay, Claire, Bardsley, George, Bareford, Stephanie, Bari, Shahedal, Barimbing, Morris, Barker, Amy, Barker, Debbie, Barker, Helen, Barker, Joseph Barker, Barker, Leon, Barker, Oliver, Barker-Williams, Kerry, Barkha, Sinha, Barla, Juliana, Barlow, Gavin, Barlow, Richard, Barlow, Valerie, Barnacle, James, Barnard, Alex, Barnes, Debi, Barnes, Nicky, Barnes, Theresa, Barnetson, Calum, Barnett, Amy, Barnett-Vanes, Ashton, Barnsley, William, Barr, Andrew, Barr, David, Barratt, Shaney, Barrera, Manuella, Barrett, Amy, Barrett, Fiona, Barrett, Jessica, Bartholomew, Jazz, Bartlett, Claire, Bartlett, Georgina, Barton, Greg, Barton, Jill, Barton, Lorna, Barton, Rachael, Baruah, Rosaleen, Baryschpolec, Sonia, Bashyal, Archana, Basker, Betsy, Basnyat, Buddha, Basoglu, Ayten, Bassett, John, Bassett, G, Bassford, Chris, Bassoy, Bengisu, Bastion, Victoria, Bastola, Anup, Basumatary, Anupam, Bate, Tristan, Bateman, Harry J, Bateman, Kathryn, Bateman, Vhairi, Bates, Eleanor, Bates, Hayley, Bates, Michelle, Bates, Simon, Batham, Sally, Batista, Ana, Batla, Amit, Batra, Dushyant, Batty, Harry, Batty, Thomas, Baum, Miranda, Baumber, Rachel, Bautista, Carina, Bawa, Fareha, Bawani, Fatima S, Bax, Simon, Baxter, Matt, Baxter, Nicola, Baxter, Zachary, Bayes, Hannah, Bazari, Farid, Bazaz, Rohit, Bazli, Ahmad, Beacham, Laura, Beadles, Wendy, Beak, Philip, Beale, Andy, Bearpark, Jack, Beaumont, Karen, Beaumont-Jewell, Dawn, Beaver, Theresa, Beavis, Sarah, Beazley, Christy, Beck, Sarah, Beckett, Virginia, Beckitt, Rosie, Beddall, Heidi, Beddows, Seonaid, Beeby, Deborah, Beech, Gail, Beecroft, Michelle, Beer, Sally, Beety, Jane, Bega, Gabriela, Begg, Alison, Begg, Susan, Beghini, Sara, Begum, Ayesha, Begum, Salman, Begum, Selina, Behan, Teresa, Behrouzi, Roya, Beishon, Jon, Beith, Claire, Belcher, James, Belfield, Holly, Belfield, Katherine, Belgaumkar, Ajay, Bell, Dina, Bell, Gareth, Bell, Gillian, Bell, Lauren, Bell, Louise, Bell, Nicholas, Bell, Pippa, Bell, Stephanie, Bell, Jennifer L, Bellamu, Jennifer, Bellamy, Mary, Bellini, Arianna, Bellis, Amanda, Bellis, Fionn, Bendall, Lesley, Benesh, Naveena, Benetti, Nicola, Benham, Leonie, Benison-Horner, Guy, Bennett, Ann, Bennett, Caroline, Bennett, Gillian, Bennett, Kristopher, Bennett, Lorraine, Bennett, Sara, Bennion, Karen, Benson, Vivienne, Bentley, Andrew, Bentley, James, Benton, Ian, Beranova, Eva, Beresford, Matthew, Bergin, Colin, Bergstrom, Malin, Bernatoniene, Jolanta, Berriman, Thomas, Berry, Zoe, Best, Kimberley, Bester, Ans-Mari, Beuvink, Yvonne, Bevan, Emily, Bevins, Sarah, Bewick, Tom, Bexley, Andrew, Beyatli, Sonay, Beynon, Fenella, Bhadi, Arjun, Bhagani, Sanjay, Bhakta, Shiv, Bhalla, Rekha, Bhandal, Khushpreet, Bhandal, Kulbinder, Bhandari, Ashwin, Bhandari, Sangam, Bhanot, Aashutosh, Bhanot, Ravina, Bhat, Prashanth, Bhatia, Nikhil, Bhatnagar, Rahul, Bhatt, Karan, Bhayani, Janki, Bhojwani, Deepika, Bhuiyan, Salimuzzaman, Bibby, Anna, Bibi, Fatima, Bibi, Naheeda, Bibi, Salma, Bicanic, Tihana, Bidgood, Sarah, Bigg, Julie, Biggs, Sarah, Biju, Alphonsa, Bikov, Andras, Billingham, Sophie, Billings, Jessica, Binns, Alice, BinRofaie, Muhammad, Bintcliffe, Oliver, Birch, Catherine, Birch, Jenny, Birchall, Katherine, Bird, Sam, Bird, Sumedha, Birt, Mark, Bishop, Kilanalei, Bishop, Linda, Bishop, Lisa, Bisnauthsing, Karen, Biswas, Nibedan, Biuk, Sahar, Blachford, Karen, Black, Ethel, Black, Helen, Black, Karen, Black, Mairead, Black, Polly, Blackgrove, Hayley, Blackledge, Bethan, Blackler, Joanne, Blackley, Samantha, Blackman, Helen, Blackstock, Caroline, Blakemore, Francesca, Blamey, Helen, Bland, Alison, Blane, Sujata, Blankley, Simon, Blaxill, Parry, Blaylock, Katie, Blazeby, Jane, Blencowe, Natalie, Bloom, Ben, Bloomfield, Jack, Bloss, Angela, Bloxham, Hannah, Blundell, Louise, Blunsum, Andrew, Blunt, Mark, Blyth, Ian, Blyth, Kevin, Blythe, Andrew, Blythe, Karen, Boampoaa, Marilyn, Bobie, Boniface, Bobruk, Karen, Bodalia, Pritesh, Bodasing, Neena, Bodenham, Tanya, Boehmer, Gabriele, Boffito, Marta, Bohmova, Kristyna, Bokhandi, Sumit, Bokhar, Maria, Bokhari, Saba, Bokhari, Sakina, Bokhari, Syed O, Boles, Ambrose, Bond, Charlotte, Bond, Helena, Bond, Stuart, Bond, Thomas, Bone, Alice, Boniface, Georgia, Bonney, Lizzy, Borbone, Joanne, Borman, Naomi, Bottrill, Fiona, Bough, Laura, Boughton, Hayley, Boult, Zoe, Bourke, Miriam, Bourke, Stephen, Bourne, Michelle, Bousfield, Rachel, Boustred, Lucy, Bowes, Alexandra, Bowes, Amy, Bowker, Philip, Bowman, Louise, Bowman, Simon, Bowmer, Rachel, Bowring, Angie, Bowyer, Helen, Boyd, Jenny, Boyd, Laura, Boyle, Namoi, Boyle, Pauline, Boyle, Rosalind, Boyles, Louise, Brace, Leanna, Bradder, Jodie, Bradley, Clare Jane, Bradley, Pamela, Bradley, Patrick, Bradley, Paul, Bradley-Potts, Joanne, Bradshaw, Lynne, Bradshaw, Zena, Brady, Rebecca, Brady, Shirin, Braganza, Denise, Branch, Marie, Brankin-Frisby, Thomas, Brannigan, Jamie, Brassington, Louise, Brattan, Sophie, Bray, Fiona, Bray, Nancy, Brazil, Manny, Brear, Lucy, Brear, Tracy, Brearey, Stephen, Bremner, Laura, Brend, Morwenna, Bretland, Giovanna, Brewer, Chris, Bridgwood, Gavin, Brigham, Sara, Bright, John, Brightling, Chris, Brimfield, Lutece, Brinkworth, Elaine, Brittain-Long, Robin, Britten, Vianne, Broad, Lauren, Broad, Sarah, Broadhurst, Rosie, Broadley, Andrew, Broadway, Marie, Brockelsby, Christopher, Brocken, Megan, Brockley, Tomos, Brodsky, Mary, Brogan, Fiona, Brohan, Liz, Brokke, Felicity, Brolly, Jacob, Bromley, David, Brooke-Ball, Hannah, Brooker, Verity, Brookes, Matthew, Brooking, Deirdre, Brooks, Alison, Brooks, Karen, Brooks, Nicole, Brooks, Philip, Brooks, Rachel, Brooks, Sophie, Broomhead, Natalie, Broughton, Chloe, Broughton, Nathaniel, Brouns, Matt, Brown, Alison, Brown, Ammani, Brown, Carly, Brown, Catrin, Brown, Ellen, Brown, Heather, Brown, Janet, Brown, Louise, Brown, Niall, Brown, Pauline, Brown, Richard, Brown, Robert, Brown, Steven, Brown, Thomas, Browne, Bria, Browne, Charlotte, Browne, Duncan, Browne, Mitchell, Brownlee, Stephen, Brraka, Alba, Bruce, David, Bruce, Johanna, Bruce, Michelle, Brudlo, Wojciech, Brunskill, Nigel, Brunton, Alan, Brunton, Margaret, Bryant, Meera, Buazon, April, Buch, Maya H, Buchan, Ruaridh, Buchanan, Ruaridh, Buche, Danielle, Buck, Amanda, Buckland, Matthew, Buckley, Laura, Buckley, Philip, Buckley, Sarah, Buckman, Carol, Bugg, George, Bujazia, Ramadan, Bukhari, Marwan, Bukhari, Shanze, Bulbulia, Richard, Bull, Alex, Bull, Damian, Bull, Rhian, Bull, Thomas, Bulteel, Naomi, Bumunarachchi, Kasun, Bungue-Tuble, Roneleeh, Burchett, Caroline, Burda, Dorota, Burden, Christy, Burden, Thomas G, Burgess, Mika, Burgess, Richard, Burgess, Sophia, Burman, Adrian, Burnard, Sara, Burnett, Caroline, Burns, Amy, Burns, Collette, Burns, James, Burns, Karen, Burrage, Daniel, Burrows, Kate, Burston, Claire, Burton, Ben, Burton, Fiona, Burton, Matthew, Butcher, Deborah, Butler, Aaron, Butler, Jessica, Butler, Joanne, Butler, Joshua, Butler, Peter, Butler, Susan, Butt, Al-Tahoor, Butt, Mohammad M, Butterworth, Caryl, Butterworth-Cowin, Nicola, Buttery, Robert, Buttle, Tom, Button, Heather, Buttress, Daniel, Byrne, Jane, Byrne, Wendy, Byrne-Watts, Victoria, Cabandugama, Amanda, Cade, Ruth, Cadwgan, Anthony, Cahyareny, Ajeng, Cairney, Donna, Calderwood, James, Caldow, Darren, Calisti, Giorgio, Callaghan, Debbie, Callaghan, Jennifer, Callens, Claire, Callum, Donaldson, Calver, Caroline, Cambell-Kelly, Melissa, Camburn, Tracey, Cameron, David Richard, Cameron, Eleanor, Cameron, Fraser, Cameron, Sheena, Camm, Christian, Cammack, Renee F D, Campbell, Alison, Campbell, Amy, Campbell, Barbara, Campbell, Bridget, Campbell, Debbie, Campbell, Helen, Campbell, Hilary, Campbell, Jonathan, Campbell, Mark, Campbell, Robyn, Campbell, Wynny, Campbell Hewson, Quentin, Camsooksai, Julie, Canclini, Lisa, Candido, Shaula Mae, Candlish, Janie, Caneja, Cielito, Cann, Johnathon, Cannan, Ruby, Cannon, Emma, Cannon, Michael, Cannon, Petra, Cannons, Vivienne, Cantliff, Jane, Caplin, Ben, Capocci, Santino, Caponi, Noemi, Capp, Angelika, Capstick, Thomas, Cardwell, Mary, Carey, Rachel, Carley, Simon, Carlin, Tammy, Carmichael, Samantha, Carnahan, Mandy, Caroline, Charlotte, Carpenter, Jodi, Carr, Sharon, Carrasco, Anna, Carrington, Zoe, Carroll, Paul, Carter, Jonathan, Carter, Michael, Carter, Paul, Carter, Penny, Cartwright, Douglas, Cartwright, Jo-Anne, Carty, Claire, Carungcong, Jaime, Casey, Susan, Cassells, Annie, Cassimon, Barbara, Castiello, Teresa, Castle, Gail, Castles, Bridget, Caswell, Melanie, Catana, Ana Maria, Cate, Heidi, Cathcart, Susanne, Cathie, Katrina, Catley, Christine, Catlow, Laura, Caudwell, Matthew, Cavazza, Anna, Cave, Luke, Cavinato, Simon, Cawa, Frianne, Cawley, Kathryn, Caws, Chloe, Cendl, Hankins, Century, Hannah, Cernova, Jeva, Cesay, Mansur, Cetti, Ed, Chabane, Stephanie, Chablani, Manish, Chabo, Cathleen, Chadwick, David, Chadwick, Julie, Chadwick, Robert, Chakkarapani, Ela, Chakraborty, Arup, Chakraborty, Mallinath, Chakravorty, Mollika, Chalise, Bimal, Chalmers, James, Chalmers, Richard, Chamberlain, Georgina, Chamberlain, Sarah, Chambers, Emma, Chambers, Jonathan, Chambers, Lucy, Chambers, Naomi, Chan, Alex, Chan, Carmen, Chan, Cheuk, Chan, Evelyn, Chan, Kayen, Chan, Kimberley, Chan, Ping, Chan, Rebekah (Pui-Ching), Chan, Xin Hui, Chandler, Chris, Chandler, Heidi, Chandler, Kim Jessica, Chandler, Stuart, Chandler, Zoe, Chandra, Sumit, Chandran, Navin, Chandrasekaran, Badrinathan, Chang, Yvonne, Chaplin, Josephine, Chapman, Graeme, Chapman, John, Chapman, Katie, Chapman, Laura, Chapman, Lianne, Chapman, Polly, Chapman, Timothy, Chappell, Lucy C, Charalambou, Amanda, Charles, Bethan, Charlton, Dianne, Chatar, Kevin, Chatha, Calvin, Chaube, Ritesh, Chaudhary, Muhammad Yafaa Naveed, Chaudhry, Iram, Chaudhuri, Nazia, Chaudhury, Muhammad, Chauhan, Anoop, Chauhan, Ruchi Singh, Chavasse, Nicola, Chawla, Vipal, Cheater, Lindsay, Cheaveau, James, Cheeld, Charlotte, Cheeseman, Michelle, Chen, Fang, Chen, Hui Min, Chen, Terence, Cheng, Lok Yin, Cheng, Zhihang, Chenoweth, Helen, Cheong, Chun How, Cherian, Shiney, Cherrie, Mary, Cheshire, Helen, Cheung, Chee Kay, Cheung, Elaine, Cheung, Michelle, Chew, Victor, Cheyne, Claire, Chhabra, Swati, Chia, Wei Ling, Chiang, Eric, Chiapparino, Angela, Chicano, Rosavic, Chikwanha, Zviedzo Agenia, Chilcott, Sam, Chimbo, Phillipa, Chin, KokWai, Chin, Wen Jie, Chineka, Rumbidzai, Chingale, Amol, Chisem, Heather, Chisenga, Claire, Chisnall, Ben, Chiswick, Carolyn, Chita, Sunder, Chitalia, Nihil, Chiu, Matthew, Chivima, Brenda, Chmiel, Catherine, Choi, Soha, Choon Kon Yune, Willy, Choudhary, Vandana, Choudhury, Sarah, Chow, Bing-Lun, Chowdhury, Mahibbur, Chowdhury, Shahid, Christenssen, Victoria, Christian, Peter, Christides, Alexander, Christie, Fiona, Christmas, Daniel, Christopherson, Thereza, Christy, Mark, Chrysostomou, Paris, Chua, Yunli, Chudgar, Dip, Chudleigh, Richard, Chukkambotla, Srikanth, Chukwu, Michael Eze, Chukwulobelu, Izu, Chung, Chi Y, Church, Elaine, Church, Sara R, Churchill, David, Cianci, Nicole, Cicconi, Paola, Cinardo, Paola, Cipinova, Zdenka, Cipriano, Bessie, Clamp, Sarah, Clapham, Melanie, Clare, Edel, Clare, Sarbjit, Clark, Andrew, Clark, Charlotte, Clark, Diane, Clark, Felicity, Clark, Gabrielle, Clark, James, Clark, Katherine, Clark, Kaylea, Clark, Louise, Clark, Lucy, Clark, Matthew, Clark, Patricia, Clark, Richard, Clark, Thomas, Clark, Zoe, Clarke, Andrea, Clarke, Paul, Clarke, Robert, Clarke, Roseanne, Clarke, Samantha, Clarke, Sheron, Claxton, Alleyna, Clay, Kate, Clayton, Elizabeth, Clayton, Olivia, Clayton-Smith, Jill, Cleaver, Chris, Clemente de la Torre, Carlota, Clements, Jayne, Clements, Suzanne, Clifford, Rachael, Clifford, Sarah, Clive, Amelia, Clouston, Jonathan, Clueit, Samantha, Clyne, Andrea, Coakley, Michelle, Coakley, Peter Gerald Leyland, Cobain, Kathryn, Cochrane, Alexandra, Cochrane, Patricia, Cockerell, Maeve, Cockerill, Helen, Cocks, Shirley, Codling, Rachel, Coe, Adam, Coetzee, Samantha, Coey, David, Cohen, Danielle, Cohen, Jonathan, Cohen, Oliver, Cohn, Mike, Coke, Louise, Coker, Olutoyin, Colbeck, Nicholas, Colbert, Roghan, Cole, Esther, Cole, Jade, Cole, Joby, Coleman, Garry, Coleman, Matt, Coles, Holly, Colin, Macleod, Colino-Acevedo, Alicia, Colley, Julie, Collier, Dawn, Collier, Heather, Collini, Paul, Collins, Emma, Collins, Jaimie, Collins, Joanne, Collins, Nicola, Collins, Sally, Collins, Vicky, Collinson, Andrew, Collinson, Bernadette, Collinson, Jennifer, Collis, Matthew, Colmar, Madeleine, Colton, Hayley Emma, Colton, James, Colville, Katie, Colvin, Carolyn, Combes, Edward, Comer, David, Comerford, Alison, Concannon, Dónal, Condliffe, Robin, Connell, Lynne, Connell, Natalie, Connelly, Karen, Connolly, Gavin, Connor, Emma, Conroy, Antonia, Conteh, Veronica, Convery, Rory, Conway, Francesca, Conway, Grainne, Conway, Rhiannon, Conyngham, Jo-Anna, Cook, Colette, Cook, Eloise, Cook, Gemma, Cook, Helen, Cook, Julie, Cooke, Danielle, Cooke, Graham, Cooke, Katrina, Cooke, Tim, Cooper, Adele, Cooper, Chris, Cooper, David, Cooper, Helen, Cooper, Jamie, Cooper, Lauren, Cooper, Nick, Cooper, Rowena, Cope, Thomas, Corbet, Sinead, Corbett, Carolyn, Corcoran, John, Cordell, Chris, Cordle, Jessica, Corfield, Alasdair, Corless, John, Corlett, Alison, Cornwell, Joe, Cornwell, Michael, Corogeanu, Diana, Corredera, Mirella, Corrigan, Ruth, Corser, Rita, Cosgrove, Denise, Cosier, Tracey, Costa, Patricia, Coston, Charlie, Cotgrove, Susannah, Coton, Zoe, Cottam, Lisa-Jayne, Cotter, Rhiannon, Cotterill, Donna, Cotton, Caroline, Coull, Andrew, Coulson, James, Counsell, David, Counter, David, Coupland, Cherry, Courtney, Ellie, Courtney, Julia, Cousins, Rebecca, Cowan, Alexander, Cowan, Elena, Cowell, Richard, Cowen, Louise, Cowman, Steve, Cowton, Amanda, Cox, Ellie, Cox, Giles, Cox, Karina, Cox, Miriam, Coy, Karen, Cradduck-Bamford, Andrea, Craig, Victoria, Craighead, Felicity, Cramp, Matthew, Crause, Jacolene, Crawford, Angie, Crawford, Emma, Crawford, Isobel, Crawshaw, Sarah, Creagh-Brown, Ben, Creamer, Andrew, Cremona, Joanne, Cremona, Saveria, Cresswell, Janet, Cribb, Mark, Crichton, Charles, Crilly, Declan, Crisp, Lauren, Crisp, Nikki, Crocombe, Dominic, Croft, Maria, Crooks, Jennifer, Crosby, Harriet, Cross, Elizabeth, Cross, Tim, Crothers, Amy, Crotty, Stephen, Crouch, Susan, Crow, Madeleine, Crowder, Amanda, Crowley, Kate, Crowley, Teresa, Croysdill, Rebecca, Cruickshank, Callum, Cruickshank, Conor, Cruickshank, Irena, Cruise, James, Cruz, Carina, Cruz Cervera, Trino, Cryans, Dominic, Cui, Guanguo, Cui, Helen, Cullen, Lorraine, Cummings-Fosong, Gillian, Cunliffe, Victoria, Cunningham, Neil, Cunningham, Nicola, Cupitt, Jason, Curgenven, Hollie, Curnow, Gerens, Curran, David, Curran, Simon, Currie, Craig, Currie, Jacqueline, Currie, Scarlett, Curtis, Jonathan, Curtis, Katrina, Curtis, Olivia, Curtis, Thomas, Cuthbertson, Rebecca, Cutler, Sean, Czekaj, Marta, Czylok, Patrycja, da Rocha, Joana, Dagens, Andrew, Daggett, Helen, Daglish, Jacqui, Dahiya, Sandeep, Dale, Anne, Dale, Katie, Dale, Michaela, Dale, Sam, Dales, Jolyon, Dalgleish, Helen, Dallow, Helen, Dalton, Dermot, Daly, Zoe, Danga, Akila, Daniel, Amelia, Daniel, Priya, Daniels, Allison, Dann, Adela, Danso-Bamfo, Sandra, Darbyshire, Alex, Darbyshire, Janet, Dargan, Paul, Dark, Paul, Darlington, Kate, Darton, Tom, Darylile, Guledew, Das, Manjusha, Das, Sukamal, Daschel, Martin, Dasgin, Joanne, Datta, Dibyendu, Daunt, Anna, Davenport, Emily, Davey, Mark, Davey, Miriam, Davey, Molly, David, Mini, Davidson, Alexander, Davidson, Laura, Davidson, Neil Davidson, Davidson, Richard, Davies, Albert, Davies, Amanda, Davies, Amy, Davies, Angela, Davies, Carolyn, Davies, Catrin, Davies, Drew, Davies, Elaine, Davies, Ffyon, Davies, Helen, Davies, Jim, Davies, Karen, Davies, Kelly, Davies, Kim, Davies, Louisa, Davies, Matthew, Davies, Michelle, Davies, Nina, Davies, Owen, Davies, Patrick, Davies, Rachel, Davies, Rhys, Davies, Ruth, Davies, Sarah, Davies, Simon, Davis, Gwyneth, Davis, Illinos, Davis, Julie-Ann, Davis, Katherine, Davis, Peter, Davison, Alexander, Dawe, Christine, Dawe, H, Dawkins, Mark, Dawson, Danielle, Dawson, Elizabeth, Dawson, Joy, Dawson, Susan, Dawson, Tom, Daxter, Andrew, Day, Andrew, Day, Jacob, Day, Jeremy N, D'Costa, Jamie, De, Parijat, de Fonseka, Duneesha, de Freitas, Toni, De Santana Miranda, Frederico, de Sausmarez, Eleanor, de Silva, Shanika, de Silva, Thushan, De Sousa, Jessica, De Sousa, Paulo, de Souza, James, de Soyza, Anthony, de Vere, Natasha, de Vos, Johannes, Deacon, Bethan, Dealing, Sharon, Dean, Anna, Dean, Julie, Dean, Katrina, Dean, Stephen, Dean, Tessa, Deane, Jill, Dear, James, Dearden, Effie, Deas, Catherine, Debbie, Samuel, Debreceni, Gabor, Deelchand, Vashist, Deeley, Matthew, Deery, Joanne, Defever, Emmanuel, Del Forno, Manuela, Dela Rosa, Arnold, Dell, Amanda, Demetriou, Carrie, DeMets, David, Democratis, Jane, Denham, Jacqueline, Denis, Emmanuelle, Denley, Laura, Denmade, Craig, Dent, Kathy, Dent, Martin, Denton, Elise, Denwood, Tom, Deole, Nishigandh, Depala, Darshita, Depante, Maria, Dermody, Susan, Desai, Amisha, Desai, Asmita, Desai, Purav, Deshpande, Sanjeev, Deshpande, Vai, Devkota, Sirjana, Devkota, Usha, Dey, Prakash, Dey, Vishal, Deylami, Rogin, Dhaliwal, Kevin, Dhani, Sundip, Dhanoa, Amandeep, Dhar, Mili, Dhasmana, Devesh, Dhillon, Ekanjali, Dhillon, Reiss, Dhimal, Meghnath, Dias, Priya, Diaz, Stephanie, Diaz-Pratt, Kayleigh, Dickerson, Debbie, Dicks, Pamela, Dickson, Stuart, Dillane, Sean, Diment, Sarah, Dimitri, Paul, Dinh, Thai Ha, Dipper, Alex, Dirmantaite, Laura, Ditchfield, Lisa, Diver, Sarah, Diwakar, Lavanya, Dixon, Caroline, Dixon, Giles, Djeugam, Brice, Dlouhy, Petr, Dmitri, Paul, Dobbie, Laurence, Dobranszky Oroian, Marinela, Dobson, Charlotte, Dobson, Lee, Docherty, Marie, Dockrell, David, Dodd, James, Dodds, Jackie, Dodds, Rebecca, Dodds, Steve, Dogra, Richi, Doherty, Erin, Doherty, Warren, Doi, Yumiko, Doig, Iain, Doke, Eleanor, Dolan, Daniel, Dolman, Mark, Dolman, Rozzie, Donald, Lisa, Donaldson, Callum, Donaldson, Christopher, Donaldson, Denise, Donaldson, Gillian, Donaldson, Kate, Donnachie, Joanne, Donnelly, Christopher, Donnelly, Eilish, Donnelly, Ronan, Donohoe, Aravindhan, Donohoe, Gemma, Donohue, Bryan, Donton, Sinead, Dooks, Emma, Doran, Grainne, Dorey, Kane, Dorgan, Sharon, Dosani, Moonira, Dosanjh, Davinder, Dospinescu, Paula, Douglas, Katie, Douse, Jonathan, Dowden, Lucy, Dower, Michelle, Dowling, Sud, Downer, Nicola, Downes, Charlotte, Downes, Rob, Downes, Thomas, Downey, Damian, Downey, Robert, Downs, Louise, Dowson, Simon, Dragan, Cornel, Dragos, Cristina, Drain, Maire, Drake, Chelsea, Drew, Victoria, Drewett, Olivia, Driscoll, Celine, Drogan, Helena, Drummond, Graham, Druyeh, Ronald, Dryburgh-Jones, Jack, Drysdale, Simon, Du Thinh, An, Dube, Hazel, Dube, Judith, Duberley, Stephen, Duckles-Leech, Hayley, Duff, Nicola, Duffield, Emma, Duffy, Helen, Dufour, Lionel, Duggan, Annette, Dugh, Parveen, Duignan, Janice, Dummer, Simon, Duncan, Andrew, Duncan, Christopher, Duncan, Fullerton, Duncan, Gregory, Dundas, Stephanie, Dunn, Alessia, Dunn, Charlotte, Dunn, Damian, Dunn, Laura, Dunn, Paul, Dunne, Charlene, Dunne, Karen, Dunning, Fiona, Dunphy, Aidan, Duraiswamy, Venkat, Duran, Beatriz, DuRand, Ingrid, Duric, Natalie, Durie, Alison, Durie, Emily, Durrington, Hannah, Duvnjak, Haris, Dwarakanath, Akshay, Dwarakanath, Laasya, Dwyer, Ellen, Dyball, Claudia, Dyer, Kristyn, Dymond, Harvey, Dymond, Tom, Eades, Chris, Eagles, Laura, Early, Joanne, Earwaker, Melissa, Easom, Nicholas, East, Clare, Easthope, Amy, Easton, Fraser, Eatough, Ruth, Ebert, Beate, Ebigbola, Oluwadamilola, Ebon, Martin, Eccles, Sinan, Eddings, Chloe, Eddleston, Michael, Edgar, Maureen, Edgerley, Katharine, Edmond, Nicholas, Edmondson, Mary, Edmunds, Tracy, Edwards, Alexandra, Edwards, Catherine, Edwards, Joy, Edwards, Kennedy, Edwards, Mandy, Eedle, Jenny, Egginton, Dawn, Ehiorobo, Loveth, Eisen, Sarah, Ekeowa, Ugochukwu, Ekoi, Mohamed, Ekunola, Ayomide, El Behery, Soha, Elbeshy, Mohamed, El-Bouzidi, Kate, Elder, Jennifer, El-Din, Mohammed, Eleanor, Diana, Eletu, Ibrahim, Elfar, Eman, Elgamal, Mayy Magdy, Elgohary, Amr, Elia, Stellios, Elias, Jennifer, Elias, Tania, Elkaram, Nadia, Elkins, Andrew Victor, Ellam, Julie, Ellard, Nikki, Ellerton, Laura Nicola, Elliot, Lucy, Elliott, Amy, Elliott, Fiona, Elliott, Kerry, Elliott, Scott, Ellis, Annie, Ellis, Christine, Ellis, Kaytie, Ellis, Tak-Yan, Ellis, Yvette, Elmahdi, Rahma, Elmahi, Einas, Elmasry, Hannah-May, Elndari, Najla, Elneima, Omer, Elokl, Mohamed, Elradi, Ahmed, Elsaadany, Mohamed, El-Sayeh, Sally, El-Sbahi, Hana, Elsefi, Tarek, El-Shakankery, Karim, El-Taweel, Hosni, Elyoussfi, Sarah, Emberey, Jonathan, Emberson, Jonathan R, Emberton, John, Emmanuel, Julian, Emmerson, Ingrid, Emms, Michael, Emond, Florence, Emonts, Marieke, Enachi, Nicu, Engden, Angila, English, Katy, Entwistle, Emma, Enyi, Hene, Erotocritou, Marios, Eskander, Peter, Esmail, Hanif, Evans, Brynach, Evans, Chris, Evans, Debra, Evans, Gail, Evans, Gareth, Evans, Jennifer, Evans, Jolanta, Evans, Lisa, Evans, Lynn, Evans, Mim, Evans, Morgan, Evans, Ranoromanana, Evans, Teriann, Evans, Terry J, Everden, Caroline, Everden, Serenydd, Evison, Hayley, Evison, Lynsey, Faccenda, Jacqueline, Fahel, Leila, Fahmay, Youstina, Fairbairn, Sara, Fairbairn, Terry, Fairclough, Andy, Fairlie, Louise, Fairweather, Mark, Fajardo, Anne, Falcone, Naomi, Falconer, Euan, Fallon, John, Fallow, Andrea, Faluyi, David, Fancois, Victoria, Farah, Qayyum, Fard, Novin, Fares, Leila, Farg, Amr, Farmer, Adam, Farmer, Katie, Farmery, Toni, Farnworth, Samantha, Farook, Faiyaz, Farooq, Hadia, Farooq, Sidrah, Farquhar, Fiona, Farrell, Aaron, Farrell, Barbara, Farthing, James, Farzana, Syeda, Fasina, Rahmatu, Fatemi, Azam, Fatemi, Mina, Fatimah, Nibah, Faulkner, Maria, Faust, Saul N, Fawke, Joe, Fawohunre, Sinmidele, Fazal, Abul, Fearby, Simon, Feben, Alex, Fedel, Federico, Fedorova, Daria, Fegan, Christopher, Felongco, Mae, Felton, Lynsey, Felton, Tim, Fenlon, Kate, Fenn, Andrea, Fenner, Isabelle, Fenton, Ciara, Fenton, Melisa, Ferguson, Cameron, Ferguson, Jenny, Ferguson, Kathryn, Ferguson, Katie, Ferguson, Susan, Ferguson, Susie, Ferguson, Victoria, Fernandes, Denzil, Fernandez, Candida, Fernandez, Eduardo, Fernandez, Maria, Fernandez Lopez, Sonia, Fernando, Callum Jeevan, Feroz, Ahmed, Ferranti, Pietro, Ferrari, Thais, Ferrelly, Eleanor, Ferrera, Alexandra, Ferriman, Emma, Fethers, Nicholas, Field, Ben, Field, Janet, Field, Rebecca, Fielder, Karen, Fieldhouse, Lindsey, Fielding, Andra, Fielding, Julie, Fielding, Sarah, Fikree, Asma, Filson, Sarah Ann, Finbow, Sarah, Finch, Debbie, Finch, Joanne, Finch, Laurie, Fineman, Natalie, Finlayson, Lauren, Finn, Adam, Finn, Joanne, Finney, Clare, Fiouni, Sofia, Fiquet, Jo, Fisher, James, Fisher, Neil, Fishman, Daniel, Fishwick, Krystofer, Fitzgerald, Fiona, Flaherty, Jan, Flanagan, Michael, Flanders, Charles, Fleming, Julie, Fleming, Lucy, Fleming, Paul, Flesher, William, Fletcher, Alison, Fletcher, Jonathan, Fletcher, Lucy, Fletcher, Simon, Fletcher, Sophie, Flewitt, Karen, Flood, Christopher, Floodgate, Ian, Florence, Vincent, Floyd, Sharon, Flynn, Rachel, Foden, Claire, Fofana, Adama, Fogarty, Georgina, Foley, Paul, Folkes, Linda, Font, Daniela Mock, Foo, Aiwyne, Foo, Jane, Foot, Andrew, Foot, Jayne, Forbes, Jane, Ford, Jamie, Foreman, Jennifer, Fornolles, Caroline, Forrest, Adam, Forsey, Ellie, Forsey, Miranda, Forshall, Thomas, Forster, Elliot, Forton, Julian, Foster, Emily, Foster, Joseph, Foster, Rachel Anne, Foster, Tracy, Foulds, Angela, Foulds, Ian, Fowe, Folakemi, Fowler, Emily, Fowler, Robert, Fowler, Stephen, Fox, Claire, Fox, Heather, Fox, Jonathan, Fox, Lauren, Fox, Natalie, Fox, Olivia, Fox, Simon, Foxton, Sarah-Jane, Frake, Rebecca, Francioni, Alex, Francis, Olesya, Francis, Rebecca, Francis, Sarah, Francis-Bacon, Theodora, Frankland, Helen, Franklin, Jessica, Fraser, Catherine, Frayling, Sharon, Fredlund, Martyn, Freeman, Carol, Freeman, Elaine, Freeman, Hannah, Freeman, Nicola, Freer, Clare, French, Eleanor, Frise, Matthew, Fromson, Renate, Froneman, Claire, Frosh, Adam, Frost, John, Frost, Victoria, Froud, Oliver, Frowd, Rachel, Fryatt, Arun, Fuller, Bridget, Fuller, Liz, Fuller, Tracy, Fullerton, Duncan, Fung, Carrie, Fung, Gayle, Funnell, Sarah, Furness, John, Fyfe, Andrew, G, Nytianandan, Gabbitas, Elizabeth, Gabriel, Claire, Gabriel, Zoë, Gachi, Hadiza, Gahir, Joshua, Gajebasia, Sarveen, Gajewska-Knapik, Katarzyna, Gale, Christopher, Gale, Hugo, Gale, Rebecca, Gali, Swetha, Gallagher, Bernadette, Gallagher, Jude, Gallagher, Rosie, Gallagher, William, Galliford, Joanne, Galloway, Catherine, Galloway, Chris, Galloway, Emma, Galloway, Jacqui, Galloway, James, Gamble, Laura, Gamble, Liz, Gammon, Brian, Ganapathi, Jaikumar, Ganapathy, Ramesh, Gandhi, Kaminiben, Gandhi, Sarah, Ganesh, Usha, Gani, Abrar, Garden, Emma-James, Gardener, Antoni Dariusz, Gardiner, Emma, Gardiner, Michael, Gardiner, Phil, Gardiner, Siobhan, Gardiner-Hill, Caroline, Gardner, Jonathan, Garfield, Mark, Garg, Atul, Garlick, Nathan, Garner, Justin, Garner, Lucie, Garner, Zoe, Garr, Rosaline, Garty, Florence, Gascoyne, Rachel, Gashau, Hyeriju, Gatenby, Aoife, Gaughan, Erin, Gaurav, Alok, Gavrila, Mariana, Gaylard, Jane, Gaywood, Emma, Geddie, Catherine, Gedge, Ian, Gee, Sarah, Gellamucho, Minerva, Gelly, Karzan, Gelmon, L, Gelmon, Leila, Gelves-Zapata, Sandra, Genato, Gemma, Gent, Susan, Geoghegan, Natalie, George, Sam, George, Tina, Georges, Simon, Georgiou, Domonique, Gerard, Peter, Gerdes, Leigh, Germain, Louise, Gerrish, Helen, Getachew, Abel, Gethin, Louise, Ghanayem, Hisham, Gherman, Anca, Ghosh, Alison, Ghosh, Justin, Ghosh, Sudhamay, Giannopoulou, Sarra, Gibani, Malick, Gibbison, Ben, Gibbons, Kerry, Gibson, Alex, Gibson, Bethan, Gibson, Kimberley, Gibson, Kirsty, Gibson, Sian, Gilbert, Cat, Gilbert, Jeanette, Gilbert, Kayleigh, Giles, Benjamin, Gill, Mandy, Gill, Lynne, Gillen, Paul, Gillesen, Annelies, Gillespie, Katherine, Gillham, Elizabeth, Gillian, Andrew, Gilliland, Deborah, Gillott, Robert, Gilmour, Danielle, Gilmour, Kate, Ginting, Franciscus, Giokanini-Royal, Theodora, Gipson, Anna, Girling, Joanna, Gisby, Rhian, Gkioni, Angelena, Gkoritsa, Aikaterini, Gkrania-Klotsas, Effrossyni, Gladwell, Amy, Glanville, James, Glasgow, Jessica, Glasgow, Susannah, Glass, Jon, Glass, Lynn, Glaysher, Sharon, Gledhill, Lisa, Glennon, Ana, Glover, John, Glover, Kyle, Glover Bengtsson, Jan, Gnanalingam, Chevanthy, Goddard, Julie, Goddard, Wendy, Godden, Emily, Godden, Jo, Godson, Emma, Gogoi, Sukanya, Goh, Aiky, Goiriz, Rebeca, Gokaraju, Sriya, Goldacre, Raphael, Goldsmith, Arthur, Goldsmith, Portia, Gomersall, Darren, Gomez, Lucia, Gomez-Marcos, Raquel, Gondal, Ali, Gonzalez, Celia, Goodall, Jack, Goodenough, Bob, Goodfellow, Laura, Goodlife, James, Goodwin, Camelia, Goodwin, Elizabeth, Goodwin, Jayne, Goodyear, Paula, Gooentilleke, Rajiv, Goonasekara, Michelle, Gooseman, Sheila, Gopal, Shameer, Gordon, Sally, Gorick, Hugh, Gorman, Caitlin, Gorman, Claire, Gormely, Stuart, Gorog, Diana, Gorst, Michelle, Gorsuch, Thomas, Gosai, Jayshreebahen, Gosling, Rebecca, Gosling, Sally, Gosney, Georgina, Goss, Vanessa, Gotham, Dzintars, Gott, Naomi, Goudie, Elizabeth, Gould, Susan, Gourbault, Lysander, Govind, Abha, Gowans, Sharon, Gowda, Girish, Gowda, Rohit, Gower, Hannah, Gower, Thomas, Goyal, Pankaj, Goyal, Sunil, Goyal, Sushant, Graham, Clive, Graham, Jonathan, Graham, Justin, Graham, Libby, Graham, Sharon, Graham-Brown, Matthew, Grahamslaw, Julia, Grana, Gianluca, Grandison, Tracyanne, Grandjean, Louis, Grant, Alison, Grant, Ann, Grant, David, Grant, Matthew, Grant, Pauleen, Gravell, Rhys, Graves, Jenny, Gray, Alasdair, Gray, Catherine, Gray, Georgina, Gray, Jackie, Gray, Karen, Gray, Nicola, Gray, Sebastian, Grayson, Alan, Greaves, Fiona, Greaves, Paul, Green, Alastair, Green, Charlotte, Green, Christopher A, Green, David, Green, Frederick, Green, Joel, Green, Marie, Green, Nicola, Green, Stacey, Greene, Diarra, Greenfield, Philippa, Greenhalgh, Alan, Greenwood, Daniel, Greer, Sandra, Gregory, James, Gregory, Jane, Gregory, Katie, Gregory, Tamsin, Greig, Jill, Greig, Julia, Grenfell, Rebecca, Grenier, Teena, Grevatt, Susan, Grey, Glaxy, Gribbin, Andrew, Gribble, Amy, Grieg, Natasha, Grieve, Douglas, Griffin, Ben, Griffin, Denise, Griffin, Mel, Griffith, Sian, Griffiths, Andrew, Griffiths, Daniel, Griffiths, David, Griffiths, Donna, Griffiths, Isabel, Griffiths, Mark, Griffiths, Nicola, Griffiths, Oliver, Griffiths, Sarah, Griffiths, Yvonne, Grigoriadou, Sofia, Grigsby, Steph, Grobovaite, Evelina, Grondin, Clarissa, Groome, Rachel, Grosu, Liliana, Grounds, Jenny, Grout, Margaret, Grover, Helen, Groves, Jayne, Grubb, Neil, Grundy, Julie, Guarino, Francesca, Gudur, Sharada, Guettari, Sharazeq, Gulati, Shivang, Gulia, Vikas, Gunasekera, Pumali, Gunawardena, Malin, Gunganah, Kirun, Gunn, Jessica, Gunter, Emma, Gupta, Alok, Gupta, Atul, Gupta, Rajeev, Gupta, Richa, Gupta, Rishi, Gupta, Tarun, Gupta, Vineet, Gupta-Wright, Ankur, Guratsky, Victoria, Gureviciute, Alvyda, Gurram, Sambasivarao, Gurung, Anju, Gurung, Bhawana, Gurung, Shraddha, Guth, Hazel, Gyanwali, Pradip, Habibi, Ruth, Hack, Berkin, Hackney, Pamela, Hacon, Christian, Haddad, Aiman, Hadfield, Denise, Hadjiandreou, Michalis, Hadjisavvas, Nikolaos, Haestier, Anna, Hafiz, Nauman, Hafiz-Ur-Rehman, Rana, Hafsa, Javed, Hagan, Samantha, Hague, Jack William, Hague, Rosemary, Haigh, Kate, Haines, Christina, Hainey, Scott, Hair, Morton, Hairsine, Brigid, Hajnik, Juraj, Haldeos, Anne, Halder, Writaja, Hale, Jennie, Halevy, Carmel, Halford, Paul, Halford, William, Hall, Alistair, Hall, Anthony, Hall, Claire, Hall, Elizabeth, Hall, Fiona, Hall, Helen, Hall, Jennifer, Hall, Kathryn, Hallas, Jan, Hallas, Kyle, Hallett, Charles, Halls, Heather, Hamdollah-Zadeh, Maryam, Hameed, Bilal, Hamers, Raph, Hamers, Raph L, Hamid, Imran, Hamie, Mohamad, Hamilton, Bethany, Hamilton, Fergus, Hamilton, Leigh, Hamilton, Nicola, Hamlin, Ruth, Hamlyn, Eleanor, Hammans, Beatrice, Hammersley, Shirley, Hammerton, Kate, Hammond, Bev, Hammond, Leah, Hammonds, Fiona, Hamoodi, Ibrahim, Hampshire, Karen, Hampson, Jude, Hampson, Lucy, Hanci, Ozan, Hand, Sadiyah, Handford, Jasmine, Handrean, Soran, Haney, Sarah, Hanif, Sheharyar, Hanison, E, Hanison, Esther, Hannah, Jennifer, Hannington, Amy, Hannun, Merhej, Hanrath, Aidan, Hanson, Anita, Hanson, Jane, Hanson, Kathryn, Hanson, Steve, Haq, Mazhar Ul, Haqiqi, Ala, Haque, Monjurul, Harden, Lesley, Harding, Zoe, Hardman, Simon, Hardy, Joanna, Haresh, Kumar, Harford, Rachel, Hargadon, Beverley, Hargreaves, Carolyn, Hargreaves, James, Harin, Alice, Haris, Mohammed, Harlock, Edward, Harman, Paula, Harman, Tracy, Harmer, Mark, Haroon, Muhammad A, Harper, Charlie, Harper, Heather, Harper, Peter, Harper, Rosemary, Harrhy, Sarah, Harrington, Sian, Harrington-Davies, Yasmin, Harris, Jade, Harris, Jess, Harris, John, Harris, Laura, Harris, Marie-Clare, Harris, Nichola, Harris, Sophie, Harrison, David, Harrison, Laura, Harrison, Melanie, Harrison, Rowan, Harrison, Susie, Harrison, Thomas, Harrison, Wendy, Harrod, Elizabeth, Hart, Ciaran, Hart, Dominic, Hartley, Lisa, Hartley, Rosemary, Hartley, Ruth, Hartley, Tom, Hartrey, William, Hartridge, Phillipa, Hartshorn, Stuart, Harvey, Alice, Harvey, Angela, Harvey, Max, Harwood, Catherine, Harwood, Helen, Haselden, Brigitte, Hashem, Kazi, Hashimm, Mohammed, Hashimoto, Tadaaki, Hashmi, Imranullah, Haslam, Zena, Hassan, Adil, Hassan, Ali, Hassan, Wagae UI, Hassan, Waqar Ul, Hassasing, Sapna, Hassell, Jane, Hassell, Philip, Hastings, Alex, Hastings, Bethany, Hastings, Janice, Hatton, Jonathan, Havinden-Williams, May, Havlik, Stefan, Hawcutt, Daniel B, Hawes, Kadean, Hawes, Liz, Hawes, Nicola, Hawkins, Annie, Hawkins, Nancy, Hawley, Dan, Hawley-Jones, Ed, Haworth, Edward, Hay, Cathy, Hayat, Amna, Hayat, Jamal, Hayathu, Mohamed-Riyal, Hayes, Anne, Hayes, Jonas, Hayes, Kate, Hayes, Melony, Hayes, Fiona, Hayle, Patrick, Haylett, Chloe, Hayman, Antara, Hayman, Melanie, Haynes, Matthew, Haynes, Richard, Hayre, Rachel, Haysom, Sarah, Hayward, James, Haywood, Patrick, Hazelton, Tracy, Hazenberg, Phoebe, He, Zhengmai, Headon, Elizabeth, Heal, Carrie, Healy, Brendan, Hearn, Amy, Heath, Angela, Heath, Rowan, Heaton, Diane, Hebbron, Kerry, Hector, Gemma, Hedges, Andy, Hedges, Katrine, Heeley, Cheryl, Heeney, Elaine, Heire, Rajdeep, Hemmila, Ulla, Hemphill, Scott, Hemsley, Deborah, Henderson, Abigail, Henderson, Jennifer, Henderson, Steven, Henry, Joanne, Henry, Karol, Henry, Lavinia, Henry, Margo, Henry, Natalie, Henshall, David, Herdman, Gillian, Herdman-Grant, Rosaleen, Herkes, Morag, Heron, Emma, Herrington, William, Heselden, Emilia, Heslop, Peta, Hester, Simon, Hetherington, Emily, Hetherington, Joseph, Hettiarachchi, Chamila, Hettiarachchi, Pramodh, Hewer, Hayley, Hewertson, John, Hewetson, Anna, Hewins, Sue, Hewitt, Claire, Hewitt, Davina, Hewitt, Richard, Hey, Samuel, Heyderman, Robert, Heydtmann, Mathis, Heys, Joseph, Heywood, Jonathan, Hibbert, Meg, Hickey, John, Hickey, Naomi, Hickey, Peter, Hicks, Alex, Hicks, Jenny, Hicks, Scott Rory, Higbee, Daniel, Higgins, Lucy, Higham, Andrew, Highcock, Martin, Highgate, Judith, Hikmat, Mondy, Hill, Amanda, Hill, Helen, Hill, Joanne, Hill, Lisa, Hill, Phoebe, Hill, Uta, Hilldrith, Annette, Hillman-Cooper, Catherine, Hilton, Zoe, Hinch, Sarah, Hindle, Andrew, Hindmarsh, Alice, Hine, Paul, Hinshaw, Kim, Hird, Clare, Hives, Jemma, Ho, Benson, Hoare, Michaela, Hobden, David, Hobden, Gill, Hobrok, Maria, Hobson, Simon, Hodge, Simon, Hodgen, Lesley, Hodgkins, Holly, Hodgkinson, Louise, Hodgkinson, Sally, Hodgson, David, Hodgson, Helen, Hodgson, Luke, Hodgson, Sheila, Hodkinson, Gemma, Hodson, Kenneth, Hogben, Matthew, Hogg, Lucy, Hoggett, Lee, Holborow, Abigail, Holbrook, Catherine, Holden, Catherine, Holden, Melinda, Holder, Thomas, Holdhof, Niels, Holdsworth, Hannah, Holland, Lisa, Holland, Nicky, Hollands, Marie, Holliday, Elizabeth, Holling, Nina, Hollos, Laszlo, Holloway, Simon, Hollyer, Marcus, Holman, Amy, Holmes, Ann, Holmes, Megan, Holmes, Raphael, Holmes, Rebecca, Holroyd, Kelly, Holt, Lyndsey, Holt, Siobhan, Holt, Susie, Holyome, Alexandra, Home, Marie, Homewood, Renate, Hong, Kate, Hooper, Clare, Hope, Samantha, Hope, Susan, Hopkins, Bridget, Horby, Peter W, Horler, Stephanie, Hormis, Anil, Hornan, Daniel, Hornby, Nicola, Horne, Zoey, Horner, Rebecca, Horsford, Latoya, Horsford, Megan, Horsford, Mark, Horsham, Valana, Horsley, Alexander, Horsley, Ashley, Horsley, Elizabeth, Horton, Sarah, Hosea, Jane, Hoskins, Toby, Hossain, Muhammad Shamim, Hossain, Rashed, Hough, Maxine, Hough, Sarah, Houghton, Catherine, Houghton, Kathryn, Houlihan, Rebecca, Housely, Kay, Houston, Hamish, Hovvels, Roseanna, How, Lee, Howaniec, Laura, Howard, Laura, Howard, Linda, Howard, Lucy, Howard, Sarah, Howard, Stuart, Howard-Griffin, Richard, Howe, Serena, Howells, Mark, Howie, Lyn, Howlett, Kerry, Howlett, Sophie, Hrycaiczuk, Josh, Htoon, Naing Zaya, Htwe, Su, Hu, Ying, Huah, Chiang Ooi Huah, Huckle, Abby, Huda, Shahzya, Hudak, Alison, Hudig, Lisa, Hudson, Heather, Hudson, Oli, Hufton, Alison, Huggins, Connor, Hughes, Alistair, Hughes, Emma, Hughes, Gareth, Hughes, Heather, Hughes, Luke, Hughes, Rachel, Hughes, Rebecca, Hughes, Samantha, Hughes, Stephen, Hughes, Vikki, Hughes, Wesley, Huhn, Lukas, Hui, Ching, Hulbert, Ruth, Hull, Diana, Hull, Grace, Hull, Robert, Hulme, Amanda, Hulme, Peter, Hulse, Wendy, Hulston, George, Hum, Ryan, Hume, Megan, Humphrey, Charlotte, Humphries, Alasdair, Humphries, Joanne, Hunt, Fiona, Hunt, Jonquil, Hunt, Kristen, Hunt, Luke, Hunt, Sophie, Hunter, Alexandra, Hunter, Karl, Hunter, Neil, Huntington, George, Hurditch, Elizabeth, Hurley, Cian, Hurley, Katrina, Husain, Mohammed A, Husaini, Syeda Y, Huson, Coralie, Hussain, Afreen, Hussain, Ibraar, Hussain, Ifza, Hussain, Mohammad, Hussain, Muhammad, Hussain, Reda, Hussain, Samia, Hussain, Sanniah, Hussain, Yasmin, Hussam El-Din, Mohammed, Hussey, Rebecca, Hutchinson, Anja, Hutchinson, Camille, Hutchinson, Dorothy, Hutchinson, Elizabeth, Hutchinson, John, Hutsby, Claire, Hutton, Paula, Huyen, Thuong, Hydes, Daniella, Hyde-Wyatt, Jamie, Hynes, Niamh, Hyslop, Megan, Ibraheim, Mazen, Ibrahim, Abdalla, Ibrahim, Ahmed, Ibrahim, Asil, Ibrahim, Mohamed, Ibrahim, Wadah, Idowu, Adetokunbo Idowu, Idrees, Muhammad, Idrees, Nauman, Iftikhar, Hina, Iftikhar, Mawara, Igwe, Chukwuemeka, Ijaz, Mohammad, Ikomi, Amaju, Iles, Clare, Iliodromiti, Stamatina, Ilsley, Mary, Ilves, Lorna, Imam-Gutierrez, La'ali, Imray, Christopher, Imtiaz, Haider, Ingham, Jack, Ingham, Julie, Ingham, Rory, Ingle, Tejas, Inglis, Jennifer, Ingram, Anne, Ingram, Luke, Inns, Peter, Inweregbu, Ken, Ionescu, Andreea Alina, Ionita, Ana, Iordanov, Ilian Petkov, Ipe, Anil, Iqbal, Madiha, Iqbal, Mohammed, Iqbal Sait, Faisal, Ireland, Jane, Irons, Robert, Irshad, Mohannad, Irshad, Muhammad S, Irvine, Janice, Irvine, Val, Irving, Robert, Ishak, Mina, Isherwood, Erica, Islam, Aminul, Islam, Samsul, Islim, Abdurrahman, Ismail, Ali, Ismail, Omar, Ison, Caroline, Israa, M'hamedi, Isralls, Sharon, Ivan, Monica, Ivenso, Chineze, Ivy, Ashleigh, Iwanikiw, Sophie, Ixer, Karen, Iyer, Menaka, Iyer, Mia, Jack, Calum, Jackson, Amanda, Jackson, Ben, Jackson, Beth, Jackson, Ella, Jackson, Helen, Jackson, Lauren, Jackson, Melanie, Jackson, Nicola, Jackson, Shane, Jacob, Patricia, Jacob, Reni, Jacques, Nicola, Jafar, Anisa, Jafferji, Daniel, Jaffery, Ali, Jagadish, Chandrashekar, Jagannathan, Vijay, Jagpal, Mandeep, Jaime, Fernandez Roman, Jain, Neemisha, Jain, Seema, Jain, Susan, Jaiswal, Sanjay, Jajbhay, Danyal, Jaki, Thomas, Jallow, Bintou, Jaly, Yusuf, Jamal, Sabine, Jamal, Zeba, Jameel, Yasmin, James, Albie, James, Christie, James, Kate, James, Lee, James, Linda, James, Mark, James, Nicholas, James, Olivia, James, Rebecca, James, Ruth, James, Tracy, Jameson, Jack, Jamison, Aaron, Jane, Phoebe, Janmohamed, Azara, Jansz, Sabrina, Japp, Deepa, Jardim, Victor, Jardine, Catherine, Jarnell, Emma, Jarvie, Ellie, Jarvis, Claire, Jarvis, Rosina, Jastrzebska, Patrycja, Javed, Hafsa, Jawad, Mays, Jawaheer, Lona, Jayachandran, Anu, Jayachandran, D, Jayakumar, Angelina, Jayaram, Deepak, Jayaram, Ravi, Jayasekera, Geeshath, Jayatilleke, Thilina, Jayebalan, Abi, Jeddi, Saman, Jeelani, Mohammad S, Jeffery, Katie, Jeffrey, Helen, Jeffrey, Rachel, Jeffreys, Nathan, Jeffs, Benjamin, Jegede, Debbie, Jemima, Taylor, Jenkin, Ifan, Jenkins, Alison, Jenkins, Christopher, Jenkins, David, Jenkins, Elinor, Jenkins, Sarah, Jenkins, Sian, Jenkins, Stephen, Jennings, Jacqui, Jennings, Louise, Jennings, Virginia, Jerome, Ellen, Jerry, Douglas, Jessup-Dunton, Ellen, Jesus Silva, Jorge Antonio, Jetha, Champa, Jethwa, Kishan, Jha, Roshan, Jhanji, Shaman, Jian, Khoo, Jiao, Zhixin, Jimenez, Laura, Jimenez Gil, Ana, Jith, Jithin, Joefield, Teishel, Johal, Navraj, Johannessen, Karine, Johari, Aisyah, John, Annie, John, Anu, John, Navin, Johns, Emma, Johns, Margaret, Johnson, Antoinette, Johnson, Emma, Johnson, Gillian, Johnson, Kathryn, Johnson, Katie, Johnson, Luke, Johnson, Mark, Johnson, Oliver, Johnston, Claire, Johnston, Janet, Johnston, Susan, Johnston, Victoria, Johnstone, Dawn, Johnstone, Ed, Johnstone, Janet, Joishy, Manohar, Jones, Adam, Jones, Alistair, Jones, Annabel, Jones, Ben, Jones, Bryony, Jones, Carys, Jones, Ceri, Jones, Charlotte, Jones, Christine E, Jones, Debra, Jones, Emily, Jones, Gareth, Jones, Geraldine, Jones, Jac, Jones, James, Jones, Jonathon, Jones, Julie, Jones, Kate E, Jones, Laura, Jones, Laura M, Jones, Louise, Jones, Mathew, Jones, Nicola, Jones, Paul, Jones, Rhianna, Jones, Ruth E, Jones, Samantha, Jones, Sophie, Jones, Stefanie, Jones, Steve, Jones, Taya, Jones, Tim, Jones, Tracey, Jonnalagadda, Ramya, Jordache, Rebecca, Jose, Sanal, Joseph, Anna, Joseph, P Aiden, Joseph, Rosane, Joseph, Sibet, Joshi, Dhaara, Joshi, Mehul, Joshi, Pratichi, Josiah, Benz, Joyce, Tiffany, Ju Wen Kwek, Adriel, Jude, Edward, Judge, Parminder, Juhl, Jessica, Jujjavarapu, Sirisha, Juniper, Mark, Juszczak, Edmund, Jyothish, Deepthi, Kabiru Dawa, Kasamu, Kacar, Mark, Kadam, Nikhil, Kahari, Rebecca, Kakoullis, Gail, Kala Bhushan, Azad, Kalayi, Richard J K, Kaliannan Periyasami, Roobala, Kallistrou, Efthymia, Kalsoom, Seika, Kam, Elisa, Kamara, John, Kamara, Mohamed, Kamath, Ajay, Kamath, Prakash, Kamath, Ravindra, Kamerkar, Siddharth Arun, Kametas, Nick, Kamfose, Musaiwale, Kane, Leia, Kankam, Osei, Kannan, Thogulava, Kant, Abhinav, Kapil, Vikas, Kapoor, Ritoo, Kapoor, Sonal, Kar, Sourjya, Kara, Janaka, Kark, Rona, Karkey, Abhilasha, Karunaratne, Nicholas, Kasianczuk, Natashja, Kasipandian, Vidya, Kassam, Rizwan, Kathirgamachelvam, Janarth, Katsande, Victoria, Kaul, Kulbinder, Kaur, Daljit, Kaur, Dervinder, Kaur, Jasmin, Kaur, Jaspreet, Kausar, Zunaira, Kawser, Mohammad A A, Kay, Andrea, Kay, Sarah, Kayappurathu, Jossy N, Kaye, Callum, Kazeem, Ahemd, Kearns, Rachel, Kearsley, Nichola, Keating, Joanne, Keating, John, Keating, Liza, Keddie-Gray, Elizabeth, Keenan, Natalie, Kefas, Jonathan, Kegg, Stephen, Keith, Laura, Keke, Uzoamaka, Kellett, Joanne, Kelly, Alison, Kelly, David, Kelly, Diane, Kelly, Dominic, Kelly, Emma, Kelly, Laura, Kelly, Martin, Kelly, Michael, Kelly, Rosalind, Kelly, Sinead, Kelly, Stephen, Kelly-Baxter, Mary, Keltos, Marketa, Kemp, Timothy, Kendall-Smith, Alexandra, Kennard, Sarah, Kennedy, Ann, Kennedy, James, Kennedy-Hay, Sophie, Kenny, Julia, Kent, Melanie, Keogan, Lynne, Keough, Alexander, Kerr, A, Kerr, Andrew, Kerrison, Caroline, Kerry, Anthony, Kerslake, Helen, Kerslake, Ian, Kerss, Helen, Keshet-Price, Jocelyn, Kestelyn, Evelyne, Keyte, Georgina, Khadar, Abdul, Khalid, Ali, Khalid, Muhammad U, Khalid, Syed, Khalil, Amir, Khalil, Asma, Khalil, Sijjad, Khan, Abubakar, Khan, Ali, Khan, Al-Imran, Khan, Arham, Khan, Asad, Khan, Aurangzeb, Khan, Burhan, Khan, Fatimah, Khan, Kausik, Khan, Malik Aamaz, Khan, Marria, Khan, Mehrunnisha, Khan, Mohammad, Khan, Nayeem, Khan, Omar, Khan, Rahila, Khan, Shabana, Khan, Shahul, Khan, Shoaib, Khan, Tasaduksultan, Khan, Waseem, Khatana, Usman Feroze, Khatri, Jibran, Khatri, Jyoti, Khatun, Hafiza, Khatun, Taslima, Kheia, Mena, Khera, Jacyntha, Khin, Htet Htet Ei, Khoja, Najaf, Khokhar, Kiran, Khurana, Chloe, Kibutu, Faith, Kidd, Andrew, Kidd, Michelle, Kidney, Joe, Kidney, Shane, Kieffer, Will, Kilbane, James, Kilby, Caroline, Killen, Eileen, Kilroy, Susan, Kim, Bomee, Kim, Jee Whang, Kimber, Sarah, King, Andy, King, Barbara, King, Jennifer, King, Kirsten, King, Rachel, King, Sarah, King, Victoria, King-Oakley, Emily, Kingsmore, Laura, Kinney, Fiona, Kiran, Sidra, Kirk, Jeremy, Kirk, Jodie, Kirkby, Amy, Kirkham, Emily, Kirkman, Gemma, Kirwan, Ursula, Kitching, Toby, Kitto, Laura, Kittridge, Lauren, Klaczek, Sarah, Kleemann, Frieder, Kmachia, Susan, Knapp, Christopher P, Knibbs, Lucy, Knight, Alicia, Knight, Fraser, Knight, Marian, Knight, Sarah, Knight, Steven, Knight, Tom, Knights, Ellen, Knights, Jane, Knolle, Martin, Knott, Carol, Knowles, Charlotte, Knowles, Karen, Knowles, Laurence, Knox, Emily, Knox, Lucy, Koch, Oliver, Kodituwakku, Ronan, Koduri, Gouri, Koirata, Aisha, Kolakaluri, Eirene, Kolodziej, Magdalena, Kolokouri, Eirini, Kon, Samantha, Konar, Niladri, Kononen, Mari, Konstantinidis, Athanasios, Koo, Hui Fen, Koopmans, Imogen, Kopyj, Emmanuela, Korcierz, Laura, Korolewicz, James, Koshy, George, Kosmidis, Chris, Kotecha, Jalpa, Kothandaraman, Easwari, Kouranloo, Koushan, Kousar'c, Rukhsana, Kousteni, Margarita, Kovac, Maja, Kozak Eskenazia, Alex, Krasauskas, Kestutis, Krishnamurthy, Raghu, Krishnamurthy, Vinodh, Krishnan, Manju, Krishnan, Hari, Krizak, Suzanne, Krupej, Sean, Kubisz-Pudelko, Agnieszka, Kudsk-Iversen, Soren, Kudzinskas, Aurimas, Kukadiya, Chirag, Kulkarni, Nainesha, Kumar, Aditi, Kumar, Mayur, Kumar, Ramesh, Kumar, Ravi, Kumar, Rita, Kumar, Rupa, Kumar, Satish, Kumar, Vimal, Kundu, Arun, Kunst, Heinke, Kurani, Amit, Kurdy, Mohammed, Kurian, Rincy, Kurmars, Vimal, Kuronen-Stewart, Cameron, Kusangaya, Ranganai Scott, Kushakovsky, Vlad, Kuverji, Apexa, Kyei-Mensah, Amma, Kyere-Diabour, Thyra, Kyi, Moe, Kyi, Nyan May, Kyle, Laura, Kyriaki, Karali-Tsilimpari, Labao, Julius, Lacey, Louise, Lack, Nikki, Ladlow, Emma, Lafferty, Heather, Laha, Shondipon, Lahane, Sushil, Lai, Clement, Lai, James, Laing, Robert, Laing-Faiers, Inez, Laity, Emily, Lakeman, Nicki, Lalloo, David, Lalloo, Fiona, Lam, Alison, Lamb, Fiona, Lamb, Lucy, Lamb, Thomas, Lambert, Pauline, Lameirinhas, Claudia, Lami, Mohammed Kadhim Gulam, Lamont, Holly, Lamparski, Michal, Lamrani, Djillali, 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Llewellyn, Rhiannon, Llewelyn, Martin, Lloyd, Adam, Lloyd, Aimee, Lloyd, Arwel, Lloyd, Oliver, Lloyd, Richard, Lo, Su, Loader, David, Lock, Lydianne, Lock, Sara, Lock, Stephen, Locke, Angela, Locke, Jacqueline, Locke, Thomas, Lockett, Teresa, Lodge, Jeorghino, Lofthouse, Martina, Loftus, Heather, Logan, Meg, Logue, Chloe A, Loh, Sook Yin, Lokanathan, Siddharth, Lomme, Kaatje, London, Emily, Long, Gabriella, Long, Natalie, Longhurst, Bev, Longshaw, Mark, Lonnen, Jennifer, Lonsdale, Caroline, Looby, Laura, Loosley, Ronda, Lopez, Paola, Lopez, Paula, Lord, Robert, Lorimer, Claire, Loro, Francesco, Lorusso, Rachel, Loveless, Robert, Lovell, Maxine, Loverdou, Angeliki, Low, Andrew, Low, Jen Mae, Lowe, Alastair, Lowe, Catherine, Lowe, Emily, Lowe, Faye, Lowe, Michael, Lowsby, Richard, Lowthorpe, Vicki, Lubimbi, Gamu, Lubina Solomon, Alexandra, Lucas, Georgia, Lucas, Jacob, Lucey, Alice, Lucey, Olivia, Luck, Suzanne, Luke, H, Luke, Jane, Lungu, Naomi, Lunia, Apurva, Lunn, Muriel, Luo, Ji, Luximon, Cindy Nisha, Lyell, Barrie, Lyka, Elisavet, Lynas, Audrey, Lynch, Ceri, Lynch, Daniel, Lynch, Daniella, Lynch, Stephen, Maamari, Rea-Grace, Mabb, Hannah, Mabelin, Louies, Macaro, Jessica, Macconaill, Kateryna, Macdonald, Chloe, Macfadyen, Claire, Macfarlane, James Gray, Macfarlane, Jill, Macfarlane, Laura, MacInnes, Lisa, MacIntyre, Iain, MacIntyre, Jill, Mack, Kirsten, Mackay, Callum, Mackay, Euan, Mackay, Laura, Mackenzie, Alexander, Mackenzie, Matt, MacKenzie Ross, Robert, Mackey, Ami, Mackie, Fiona, Mackie, Robert, Mackinlay, Carolyn, Mackintosh, Claire, Mackintosh, Katherine, MacLeod, Mary J, Macmahon, Michael, MacNair, Andrew, Macphee, Catherine, Macpherson, Iain, Macrae, Catriona, MacRaild, Allan, Madden, Alannah, Madden, Mary, Madeja, Norman, Madhivathanan, Pradeep, Madhusudhana, Madhavi, Madu, Alpha, Madziva, Lorraine, Mafham, Marion, Magee, Nick, Magezi, Frederick, Maghsoodi, Negar, Magier, Christopher, Magriplis, Marios, Mahabir, Natasha, Mahadevan-Bava, Subramanian, Maharajh, Anjanie, Maharjan, Kijan, Mahaveer, Ajit, Mahay, Bal, Mahay, Kanta, Mahdi, Hibo, Mahendiran, Thushika, Mahendran, Siva, Maher, Sarah, Maheswaran, Anistta, Maheswaran, Shameera, Maheswaran, Tina, Mahjoob-Afag, Parisa, Mahmood, Ahmed, Mahmood, Farhana, Mahmood, Waheed, Mahmood, Zahra, Mahmoud, Hager, Mahony, Ewan, Mair, Luke, Majekdunmi, Toluwani, Majid, Kesson, Major, Rupert, Majumdar, Jaydip, Majumder, Mohammad K H, Makin, Stephen, Malanca, Marius, Malcolm, Hannah, Malein, Flora, Malhan, Neeraj, Malik, Ayesha, Malik, Gulshan, Maljk, Mohammed, Mallett, Paul, Mallinder, Petrina, Mallison, Georgia, Mallon, Louise, Malone, Edward, Maloney, Gracie, Mamman, Madhu, Man, Irene, Man, Kathy, Mancinelli, Rossana, Mancuso-Marcello, Marco, Manders, Tracy, Manderson, Lauren, Mandeville, Justin, Manhas, Roope, Maniero, Carmen, Manikonda, Ravi, Mann, Bobby, Manning, Jonathan, Mannion, Pascoe, Mansi, Katherine, Manso, Katarina, Mansour, Dina, Mapfunde, Isheunesu T, Mappa, Predeesh, Maraj, Hemant, Marchand, Clare, Marcus, Neil, Marecka, Maria, Margabanthu, Gomathi, Margalef, Jordi, Margarit, Lavinia, Margaritopoulos, Georgios, Margarson, Mike, Maria del Rocio, Fernandez M, Maria Pfyl, Teresa, Mariano, Victor, Maric, Ashleigh, Markham, Grace, Marks, Maria, Marks, P, Marouzet, Elisabeth, Marriott, Arran, Marriott, Cheryl, Marriott, Nemonie, Marsden, Karen, Marsden, Paul, Marsden, Sarah, Marsden, Tracy, Marsh, Robyn, Marshall, Adam, Marshall, Andrew, Marshall, Gail, Marshall, Henry, Marshall, Jaimie, Marshall, Jenna, Marshall, Nicola, Marshall, Riley, Marshall, Jennifer, Martin, Emmeline, Martin, Hayley, Martin, Hope, Martin, Jane, Martin, Karen, Martin, Kate, Martin, Laila, Martin, Michael, Martin, Noelia, Martin, Tim, Martin, Winston, Martin, Sarah, Martindale, Tim, Martineau, Marcus, Martinez, Lauren, Martinez Garrido, Jose Carlos, Martin-Lazaro, Juan, Maruthamuthu, Vijay Kumar, Maryan, Gemma, Mary-Genetu, Roman, Maryosh, Sam, Masani, Vidan, Maseda, 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McGarry, Erin, McGarvey, Lorcan, McGettigan, Clodagh, McGettrick, Michael, McGhee, Christopher, McGill, Fiona, McGinnity, Sarah, McGlinchey, Neil, McGlone, Phil, McGlynn, Deborah, McGoldrick, Claire, McGoldrick, Clare, McGough, Elizabeth, McGrath, Brendan, McGregor, Amanda, McGregor, Annemarie, McGuinness, Heather, McGuire, Sean, McHugh, Tara, McInnes, Caroline, McInnes, Neil, McIntyre, Karen, McIntyre, Mhairi, McKay, Lorna, McKeag, Conor Padraig, McKee, Madeleine, McKeever, Joseph, McKenna, Shirley, McKeogh, Donogh, McKerr, Caroline, McKie, Anthony Michael, Mckie, Laura, McKnight, Gerard, McLachlan, Heather, McLaren, Andrew, McLaren, Barbara, McLarty, Nicola, McLaughlin, Maria, McLay, James, McLeish, Mary, McLennan, Tina, McLure, Stewart, McMahon, Anne Marie, McMahon, Genevieve, McMahon, Mike, McMahon, Stephen, McManus, Terence, McMaster, Moyra, McMaster, Paddy, McMeekin, Samuel, McMillan, Nicola, McMinn, Jason, McMorrow, Liam, McNally, Helen, McNeela, Fiona, McNeil, Lynne, McNeill, Claire, McNeill, Shea, McNelis, Una, McNulty, Melanie, McNulty, Roisin, McParland, Christopher, McPhail, Mark, McQueen, Alison, McSkeane, Anna, McSorland, Denise, McTaggart, Gini, McTaggart, Jacqueline, Mead, Joanna, Meadows, Emma, Meakin, Olivia, Mearns, Ben, Mearns, Claire, Mears, Kim, Mears, William, Meda, Manjula, Mediana, Ayren, Medine, Ross, Medveczky, Thomas, Meehan, Sharon, Meeks, Emily, Megan, Abbi, Meghani, Nevan, Meghjee, Salim, Mehra, Rohan, Meiring, James, Mejri, Rayane, Melander, Sabina, Melinte, Adriana-Stefania, Mellor, Francesca, Mellor, Samantha, Mellor, Zoe, Mellows, Katrina, Melnic, Vladimir, Melville, Alice, Melville, Julie, Membrey, Helen, Mencias, Mark, Mendonca, Cheryl, Mentzer, Alexander, Menzies, Dan, Mepham, Sue, Mercer, Oliver, Mercer, Pauline, Merchant, Arwa, Merchant, Fatema, Mercioniu, Mihaela, Meredith, Megan, Merida Morillas, Marta, Merrick, Blair, Merritt, Jack, Merritt, Simon, Merwaha, Ekta, Message, Simon, Metcalf-Cuenca, Gabriel, Metcalfe, Benjamin, Metcalfe, Kneale, Metherell, Stella, Metryka, Alexsandra, Mew, Louise, Meyrick, Simon, Mguni, Nhlanhla, Miah, Atiqa, Miah, Jagrul, Miah, Nahima, Mic, Gabriela, Micallef, Dariush, Michael, Alice, Michael, Angiy, Michael, Shery, Michalak, Natalia, Michalca-Mason, Loredana, Middle, Janet, Middleton, Hayley, Middleton, Jennifer Tegan, Middleton, Maeve, Middleton, Sophie, Mieres, Shelley, Mihalca-Mason, Loredana, Mikolasch, Theresia, Milgate, Sarah, Millar, Colin, Millar, Jonathan, Miller, David, Miller, Johnathan, Miller, Lucy, Miller, Rachel, Miller-Biot, Naomi, Miller-Fik, Alex, Millett, Louise, Milligan, Hazel, Milligan, Iain, Milliken, Caitlin, Millington, Katherine, Millington, Samuel, Mills, Helen, Mills, Janet, Millward, Helen, Miln, Rebecca, Milne, Alice, Milne, Charlotte, Milne, Louise, Milner, Joanne, Min, Zayar, Mindel, Samuel, Minnis, Chrissie, Minnis, Paul, Minton, Jane, Miranda, Frederico, Mires, Lucy, Mirza, Taimur, Misbahuddin, Anjum, Mishra, Aseem, Mishra, Biswa, Mishra, Eleanor, Mishra, Ritu, Misra, Sannidhya, Mistry, Deena, Mistry, Heena, Mital, Dushyant, Mitchard, Sarah, Mitchell, Alan, Mitchell, Ben, Mitchell, Piers, Mitchelmore, Philip, Mitra, Andrew, Mitra, Atideb, Mitra, Sandip, Mizzi, Clarisse, Moakes, Emma, Moatt, Emma, Modgil, Gita, Mohamed, Abdelrahman, Mohamed, Arez, Mohamed, Osab, Mohammad, Waheed, Mohammed, Aliabdulla, Mohammed, Omer, Mohammed, Yaser Nabil Sharkawy, Mohamud, Bilal Ahmed, Moharram, Amr, Mok, Jonathan, Moller-Christensen, Christine, Mollet, Mateus, Molloholli, Malid, Molloy, Aoife, Molloy, Linda, Molyneux, Andrew, Momoniat, Tasnim, Monaghan, Holly, Monaghan, Krista, Mongolu, Shiva, Monika, Tesha, Monsell, Katelyn, Montasser, Mahmoud, Montgomery, Alan, Montgomery, Hugh, Moodley, Prebashan, Moody, Margaret, Moody, Nick, Moon, Angela, Moon, James, Moon, Ji-Hye, Moon, Maria, Moonan, May, Moondi, Parvez, Moore, Alex, Moore, Christopher, Moore, Davidjar, Moore, Faye, Moore, Judith, Moore, Laura, Moore, Sally, Moore, Sonia, Moores, Rachel, Morab, Ed, Morales, Jose, Moramorell, Nuria, Moran, Louise, Moray, Grishma, Moreno-Cuesta, Jeronimo, Morgan, Amy, Morgan, Caitlin, Morgan, Christine, Morgan, Colin, Morgan, Lauren, Morgan, Leila, Morgan, Matthew, Morgan, Patrick, Morgan-Jones, Katie, Morgan-Smith, Emily, Morley, Anna, Morley, Thomas, Morley, Wendy, Morris, Anna, Morris, Damian, Morris, Fiona, Morris, Helen, Morris, Juliet, Morris, Katie, Morris, Laura, Morris, Lucy, Morris, Mary-Anne, Morris, Niall, Morris, Paul, Morris, Sheila, Morris, Susan, Morrison, Douglas, Morrison, Moira, Morrison, Scott, Morrissey, Mary, Morrow, Anna, Morselli, Franca, Mortem, Gordon, Morton, Chelsea, Morton, Gordon, Morzaria, Priti, Moss, Alison, Moss, Charlotte, Moss, Sarah, Moss, Stuart, Motherwell, Nicki, Mouland, Johanna, Moulds, Caroline, Moulton, Hilary, Mousley, Elizabeth, Moxham, Karen, Moya, Borja, Moyo, Quberkani, Mshengu, Eunice, Mtuwa, Sheila, Muazzam, Ali, Muazzam, Iqtedar Ahmed, Muchenje, Nykki, Mudawi, Dalia, Muddegowda, Girish, Mugal, Imran, Mughal, Ahsan, Muglu, Javaid, Muhammad, Javed, Muir, Carol, Mukherjee, Dipak, Mukhtar, Syed Asim Ali, Mukimbiri, Denise, Mulgrew, Peter, Mulhearn, Ben, Mulla, Arafat, Mullan, Dee, Mullasseril Kutten, Dileepkumar, Mullen, Niall, Mullett, Rosemary, Mulligan, Sandra, Mumelj, Lana, Mumford, Andrew, Munavvar, Mohammed, Munby, Henry, Munro, Anne-Marie, Munt, Sheila, Mupudzi, McDonald, Murad, Arshid, Muraina, Oluwatosin Hakeem, Muralidhara, Koteshwara, Murdoch, Mhairi, Murira, Jennifer, Murphy, Alison, Murphy, Carl, Murphy, Gail, Murphy, Peter, Murphy, Sheenagh, Murphy, Simon, Murray, Clare, Murray, David, Murray, Eleanor, Murray, Katie, Murray, Kenneth, Murray, Lisa, Murray, Lorna, Murray, Tracey, Murtagh, Eoin, Murthy, Mithun, Murton, Catherine, Murton, Rosie, Muru, Neeka, Musanhu, Rosemary, Mushabe, Maimuna, Mushtaq, Omaisa, Mustafa, Ahmed M M, Mustafa, Elhaytham, Mustafa, Mustafa, Mustapha, Ibrahim, Mustufvi, Zhain, Mutch, Callum, Mutema, Eric, Muthukrishnan, Balakumar, Mutton, Sheree, Muzengi, Natasha, Mwadeyi, Memory, Mwale, Bettina, Mwaura, Esther, Myagerimath, Raji, Myers, Alice, Myers, Sam, Myint, Khin Swe, Myint, Yadee, Myslivecek, Libor, Nadar, Evelyn, Nadeem, Iftikhar, Nadheem, Moosa, Naeem, Asma, Naeem, Hassan, Naeem, Salman, Nafees, Samraiz, Nafei, Mohamed, Nagarajan, Thapas, Nagra, Imrun, Nagra, Deepak, Naguib, Mina, Naguleswaran, Kirushthiga, Nagumantry, K Shonit, Naicker, Kevin, Naidoo, Sarveshni, Naik, Gireesha, Naik, Rishi, Naik, Samir, Nair, Devu Sasikumar, Nair, Rajiv, Nair, Tanushree, Naisbitt, Jay, Naismith, Kerry, Nallapareddy, Sri, Nallapeta, Soum, Nallasivan, Arumugan, Nanda, Uttam, Nandani, Aarti, Naqvi, Ali Raza, Naqvi, Asadullah, Naqvi, Sara, Nasa, Sophia, Nash, Dominic, Nasheed, Nader, Nasimudeen, Abdul, Nasir, Umer, Nasser, Tahir, Natarajan, Anuja, Natarajan, Geetha, Natarajan, Nalin, Natarajan, Nikhila, Natarajan, Rajkumar, Nathaniel, Noel, Nathvani, Mala, Nathwani, Priyan, Nava, George, Navaneetham, Neena, Navaratnam, Jeya, Navarra, Helen, Naveed, Sadaf, Navin, John, Nawaz, Khuteja, Nawaz, Sarfaraz, Nawaz, Shasta, Nayar, Bonilla, Naylor, Suzanne, Nayyar, Moez, Naz, Farrah, Naz, Mobeena, Nazari, Babak, Nazir, S, Nazir, Sehar, Ncomanzi, Dumisani, Ndefo, Onyine, Neal, Alan, Neary, Elaine, Negmeldin, Mostafa, Neill, Paula, Neils, Hector E, Nejad, Avideah, Nel, Louise, Nelson, Marie, Nelson, Richard, Nelson, Scott, Nelwan, Erni, Nemane, Rajesh, Nepal, Samiksha, Nethercott, Daniel, Netherton, Kimberley, Nettleton, Kimberley, Newby, Alison, Newby, Angela, Newby, David, Newcombe, Tracy, Newman, Charlotte, Newman, Diana, Newman, Julie, Newman, Oscar, Newman, Tabitha, Newman, Thomas, Newport, Rachel, Newson, Christopher, Newton, Maria, Ng, Anthony Y K C, Ng, Ka Wing, Ng, Maxine, Ng, Sarah, Ng, Wee Jin, Ngan, Thomas, Ngui, Gabriel CE, Ngumo, Alice, Nic Fhogartaigh, Caoimhe, Nicholas, Nathalie, Nicholas, Philip, Nicholls, Donna, Nicholls, Lisa, Nicholson, Alice, Nicholson, Anne, Nicholson, Annette, Nickson, Ian, Nicol, Eileen, Nicol, Elizabeth, Nicol, Rebecca, Nicola, Pantelis, Nicoll, Antony, Nikolaos, Pantzaris, Nikonovich, Georgii, Nilsson, Annette, Nimako, Kofi, Nimako, Louise, Nimmo, Camus, Ninan, Preethy, Nirmalan, Mahesh, Nisar, Muhammad, Nisbett, Toby, Nisha James, Aksinya, Nishat, Sabaahat, Nishiyama, Tomoko, Nix, Sara, Nixon, Jennifer, Nixon, Maxine, Nizam Ud Din, Khwaja, Nizami, Maria, Noba, Lyrics, Noble, Harriet, Noe, Hsu, Nolan, Jerry, Noor, Zahid, Noori, Zaid, Norman, Louis, Norman, Rachel, Norris, Karen, Norris, Lillian, Nortcliffe, Sally Ann, North, Fiona, North, Julie, North, Thomas, Northfield, John, Northover, Samantha, Nortje, Jurgens, Norton, Donna, Norton, Rowen, Notman, Holly, Nourein, Khalid, Novak, Timea, Nugdallah, Mohamed, Nugent, Anne Marie, Nugent, Justine, Nundlall, Kribashnie, Nunn, Kieran, Nunn, Michelle, Nunnick, Jane, Nupa, Yvonne, Nurgat, Zubeir, Nyamugunduru, Godfrey, Nyirenda, Maggie, Nyland, Kerry, O Shea, Daire, O'Hara, Chloe, O'Reilly, Kevin, O'Rourke, William, Oakley, Caroline, Obale, Begho, Oboh, Clements, O'Brien, Clare, O'Brien, Julie, O'Brien, Kirsty, O'Brien, Linda, O'Brien, Neale, O'Brien, Rachel, O'Brien, Tracey, O'Bryan, Emma, Obukofe, Ross, O'Callaghan, Christopher, O'Connell, Lorcan, OConnor, Tadg, O'Connor, Chris, O'Connor, Grainne, Odam, Miranda, Oddie, Sam, Oddy, Sharon, Odedina, Yejide, Odedra, Krishma, Odelberg, Sven Wilhelm, Odell, Natasha, Oderinde, Omolola, Odone, Jessica, O'Donovan, Catherine, O'Farrell, Stephen, Offord, Pamela, Ogbara, Tanwa, Ogilvie, Catherine, O'Gorman, Ciaran, Ogunkeye, Oluwatomilola, Ohia, Udeme, Ohja, Shinjali, Ojo, Ohiowele, O'Kane, Mark, Okeke, Tolu, OKell, Eleanor, Okines, Alicia, Okpala, Iheoma, Okpo, Ernest, Okubanjo, Maryanne, Olaiya, Raphael, Old, Tim, Oleszkiewicz, Gregory, Oliver, Annie, Oliver, Catherine, Oliver, Jesse, Oliver, Martyn, Oliver, Zoe, Olokoto, Nurudeen O, Olonipile, Folusho, Olufuwa, Olumide, Olukoya, Olatomiwa, Oluwole-Ojo, Akinlolu, O'Malley, Laura, Omar, Maryam, Omar, Zohra, Omer, Nimca, O'Neill, Connaire, O'Neill, Lauran, Ong, Chon Sum, Onyeagor, Chidera, Ooi, Huah Chiang, Oomatia, Amin, Opena, Maria, Oram, Richard, Ord, Christy, Ord, Jonathan, Orekoya, Lola, O'Riordan, Devaki, O'Riordan, Sean, Orme, Amy, Orme, Hannah, Orr, Charlotte, Orr, Sarah, Orton, Christopher, Osadcow, Anna, Osagie, Rawlings, Osanlou, Rostam, Osborne, Lynn, Osborne, Nigel, Osborne, Rebecca, Osborne, Wendy, Osborne, William, Osbourne, Charles, Osei-Bobie, Jennifer, Osman, Joseph, Osman, Wa'el, Osman, Bashir, Osoata, G, Ostermann, Marlies, O'Sullivan, Eoin, O'Sullivan, Susan, Otey, Noor, Otite, Otheroro K., O'Toole, Marie, Owen, Rachel, Owen, Stephanie, Owens, Emma, Owoseni, Yetunde, Owston, Michael, Oxlade, Ruth, Ozdes, Feray, Pack, Jamie, Packham, Sophie, Paczko, Piotr, Padden, Grace, Padmakumar, Anand, Page, Iain, Page, Joseph, Page, Valerie, Paget, Jodi, Pagett, Katherine, Paisley, Lee, Pajak, Susie, Pakozdi, Angela, Pal, Soubhik, Pal, Sushi, Palacios, April, Palagiri Sai, Vishnu Bharadwaj, Palaniappan, Vadivu, Palanivelu, Priya, Palfreeman, Adrian, Palit, Deepshikha, Palmer, Alistair, Palmer, Lynne, Pamphlett, Ian, Pan, Daniel, Pandey, Anmol, Pandian, Nithya, Pandya, Krishnaa, Pandya, Tej, Panes, Alice, Pang, Yee Wei, Pannell, Laura, Pannu, Kanwar, Pant, Suman, Panthakalam, Sathianathan, Pantin, Charles Thomas, Pao, Norman, Papaconstantinou, Helen, Papineni, Padmasayee, Paques, Kitty, Paradowski, Kerry, Parambil, Vinay, Paranamana, Supathum, Parashar, Siddhant, Parberry, Ian, Parekh, Amy, Parekh, Dhruv, Parfitt, Louise, Parfrey, Helen, Parikh, Omi, Parish, Gemma, Park, John, Parker, Angela, Parker, Ben, Parker, Emma, Parker, Jacob, Parker, Julie, Parker, Laura, Parker, Lucy, Parker, Sara, Parker, Sean, Parkin, Kirstin, Parkinson, Anna, Parkinson, Valerie, Parmar, Chetan, Parmar, Viraj, Parris, Victoria, Parry, Helen Claire, Parslow-Williams, Siobhan, Parsonage, Maria, Parsons, Penny, Partridge, Richard, Parvin, Kevin, Passby, Lauren, Passey, Samuel, Pastrana, Juan, Patal, Mital, Patch, Sarah, Patel, Aamie, Patel, Alkesh, Patel, Amisha, Patel, Dakshesh, Patel, Darshna, Patel, Hemani, Patel, Jaymik, Patel, Kamal, Patel, Kayur, Patel, Kiran, Patel, Krish, Patel, Manish, Patel, Martyn, Patel, Mehul, Patel, Naleem, Patel, Nehalbhai, Patel, Prital, Patel, Saagar, Patel, Soonie, Patel, Trishna, Patel, Vishal, Pathak, Sangeeta, Pathan, Nazima, Patience, Alexandra, Patience, Donna, Patrick, Abigail, Patrick, Georgie, Patrick, Jean, Patten, Simon, Pattenden, Ben, Patterson, Charlotte, Patterson, Linda, Patterson, Molly, Patterson, Robert, Pauls, Leigh, Paulus, Stephane, Pavely, Amelia, Pavord, Susan, Payne, Brendan, Payne, Elizabeth, Payne, Ruth, Peacock, Linda, Peacock, Louise, Peacock, Sarah, Peake, Henry, Pearce, Jasmine, Pearse, Rupert, Pearson, Andrew, Pearson, Daniel, Pearson, Harriet, Pearson, Karen, Pearson, Samuel Anthony, Pearson, Sandra, Peasley, Alice, Peddie, Hilary, Peek, Russell, Pegg, Claire, Peglar, Suzannah, Peirce, Benjamin H, Pelham, Claire, Pemberton, Abigail, Penacerrada, Melchizedek, Pender, Anthony, Pendlebury, Carmel, Pendlebury, Jessica, Penfold, Rachel, Penman, Catherine, Penman, Julie, Penman, Rachel, Penner, Justin, Penney, Kristi, Penny, James, Pepperell, Justin, Pereira, Adriana, Pereira, Rita, Pereira Dias Alves, Carlota, Perez, Elena, Perez, Jane, Perinpanathan, Tanaraj, Periyasamy, Lakshmi, Perritt, Elizabeth, Perry, Alison, Perry, Emily, Perry, Meghan, Perumpral, Thomas M, Pessoa-Amorim, Guilherme, Petch, Ruth, Peter, Lionel, Peters, Cecilia, Peters, Mark, Peters, Steve, Peters, Tim, Petersen, Remy, Peterson, Alexandra, Peto, Leon, Petras, Iulia, Petrou, Ilianna, Petrova, Boyanka, Petrova, Mirela, Pfeffer, Paul, Phanish, Mysore, Phelan, Paul, Philbey, Christopher, Philbin, Jennifer, Phillips, Alex, Phillips, Dylan, Phillips, Rachael, Phipps, Marie, Phongsathorn, Virach, Phull, Mandeep, Phulpoto, Masroor Mubeen, PI, Myat Tin Trafford, Pick, Sara, Pickard, James, Pickering, Charlotte, Pickering, Gillian, Pickett, Thomas, Pickles, Joanna, Pickwell-Smith, Benjamin, Pieniazek, Natalia, Piercy, Charlie, Pieris, Angelo, Pilgrim, Samia, Pillai, Paul Anthony, Pilsworth, Zoe, Pinches, Heather, Pinches, Stacey, Pine, Kirsty, Pinjala, Muni Tejha, Pintus, Stefania, Piper, Graeme, Pirani, Tasneem, Pittman, Marcus, Pitts, Sally, Plaatjies, Nicolene, Platt, Naomi, Pleass, Robert, Plummer, Laura, Plumptre, Charles, Pobjoy, Jonathan, Pogreban, Tatiana, Poku, Stephen, Pollard, Rachel, Pollock, Louisa, Poluyi, Oluwamayowa, Polwarth, Gary John, Pomery, Fiona, Ponnusamy, Ponmurugan, Ponnusamy, Suresh, Ponnuswamy, Aravind, Ponte Bettencourt dos Reis, Inês, Pooboni, Suman, Poole, Alice, Poole, Lynda, Poole, Michele, Poon, Sharon, Poonian, Tajinder, Porter, David, Porter, Jo, Porter, Linda, Porter, Ross, Postlethwaite, Kelly, Pothina, Narayana, Potla, Priyadarshan, Potoczna, Dorota, Pott, Jason, Potter, Alison, Potter, Jean, Potter, Sarah, Potter, Tracey, Potton, Elspeth, Potts, Joanne B, Potts, Julie, Potts, Kathryn, Poudyal, Beli, Poultney, Una, Poulton, Katherine, Poustie, Vanessa, Powell, James, Powell, Jordan, Power, Deborah, Power, Nick, Poxon, Joseph, Poyner, Robin, Pradhan, Vidushi, Prady, Helena, Prasad, Aalekh, Prasad, Krishna, Prasanth Raj, Fredy, Prasath, Sangeetha, Pratley, Anezka, Pratt, Steven, Preiss, David, Prendergast, Claire, Prentice, Lynn, Prentice, Peter, Prescott, Verity, Presland, Laura, Prest, Catharine, Preston, Stephen, Pretorius, Martha, Prevatt, Natalie, Prew, Sandra, Price, Ashley, Price, Carly, Price, Claire, Price, David, Price, Elizabeth, Price, Nathan, Price, Vivien, Priest, Anne, Prieto, Jimena, Primrose, Lorraine, Prince, Clare, Prince, Judith, Prince, Laura, Pringle, Shirley, Pristopan, Veronika, Pritchard, Kelly, Pritchard, Lucy, Pritchard, Simon, Priyash, Verma, Procter, Andrew, Proctor, Clare, Proudfoot, Rebecca, Prudon, Benjamin, Pryor, David, Pudi, Solomon, Pugh, Joanne, Pugh, Lawrence, Pugh, Mark Timothy, Pugh, Nichola, Pugh, Richard, Puisa, Veronika, Punia, Kirandip, Punnilath Abdulsamad, Saleel, Purandare, Laura, Purdue, Corrina, Purewal, Bally, Pursell, Molly, Purssord, Gregory, Purves, Rory, Purvis, Sarah, Puspatriani, Khairunnisa, Puxty, Kathryn, Puyrigaud, Zoe, Pynn, Michael, Qadeer, Tariq, Qayum, Mohammad, Quah, Corrine, Quaid, Sheena, Quail, Nathaniel, Quamina, Charlotte, Quayle, Alice, Quek, Eleanor, Quenby, Siobhan, Qui, Xinyi, Quick, Vanessa, Quigley, Julie, Quijano-Campos, Juan-Carlos, Quinn, Andrew, Quinn, Tom, Quratulain, Quratulain, Qureshi, Danya, Qureshi, Ehsaan, Qureshi, Hasanain, Qureshi, Khadija, Qureshi, Nawaz, Qurratulain, Qurratulain, Qutab, Saad, Rabbani, Muhammad Sharoz, Rabinowicz, Simon, Raceala, Madalina, Rachman, Raissa, Rad, Laura, Radford, Jane, Radford, Liz, Radhakrishnan, Jayachandran, Rafique, Cecillia, Rafique, Jethin, Rafique, Muhammad, Ragatha, Ravi, Raghunathan, Aiswarya, Raguro, Abigail, Raha, Shankho D, Rahama, Sana, Rahardjani, Mutia, Rahilly, Karen, Rahim, Faisal, Rahimi, Abdul H, Rahimi, Haseena Rana, Rahman, Muhammad, Rahman, Salim Ur, Rai, Prajan, Raisova, Lenka, Raj, Arjun, Rajagopalan, Pradeep, Rajaiah, Nithy, Rajasekaran, Arvind, Rajasri, Aylur, Rajbhandari, Sagar, Rajeswaran, Thurkka, Rajeswary, Jyothi, Rajkanna, Jeyanthy, Rajmohan, Gayathri, Rallan, Ruth, Ralston, Katherine, Ralston, Maximilian, Ram, Matsa, Ramabhadran, Balaji, Ramali, Fathima, Ramali, Mohamed, Ramanan, Athimalaipet, Ramanna, Shashikira, Ramasamy, Maheshi, Rambe, Irfah, Ramdin, Dhanishta, Ramirez, Jozel, Ramirez, Mylah, Ramnarain, Geshwin, Ramos, Lidia, Ramraj, Shanthi, Ramshaw, Alex, Rana, Aleem, Rana, Ghulam Farid, Rana, Rehman, Rand, Abby, Rand, James, Randheva, Harpal, Ranga, Poonam, Rangar, Manmeet, Rangarajan, Harini, Ranjan, Sameer, Rank, Hannah, Ranka, Poormina, Rankhelawon, Rajesh, Rao, Anita, Rao, Sandhya, Rao, Sanjay, Rao, Deepak, Rasheed, Althaf Abdul, Rashid, Khalid, Ratcliff, Simbisai, Ratcliffe, Sam, Ratcliffe, Sophy, Rath, Sanjeev, Rather, Mohmad Iqbal, Rathore, Selina, Ratnakumar, Aravinden, Ratoff, Jonathan, Rattehalli, Deepa, Raw, Jason, Raw, Rachael, Rawlins, Hywel, Ray, Gautam, Raymond-White, Adam, Raynard, Dana, Rayner, Nicola, Raynsford, Amy, Razvi, Salman, Razvi, Zarine, Read, Kerry, Read, Sarah, Reddy, Ajay, Reddy, Anvesh, Reddy, Harsha, Reddy, Ravi, Redfern-Walsh, Aine, Redome, Alex, Redome, Joan, Reed, Anna, Reed, John, Rees, Andrew, Rees, James, Rees, Martyn, Rees, Sarah, Rees, Stephanie, Rees, Tabitha, Regan, Fiona, Regan, Karen, Regan, Susan, Rege, Kanchan, Rehan, Ahmed, Rehman, A, Rehman, Shoib, Rehman, Zainab, Reid, Ada, Reid, Andrew, Reid, Jennifer, Reid, Jeremy, Reid, Sharon, Reilly, Mkyla, Reith, Christina, Remegoso, Alda, Rengan, Dinakaran, Renshaw, Stephen, Renu Vattekkat, Remya, Reschreiter, Henrik, Revels, Mark, Rewitzky, Glynis, Reynard, Charles, Reynish, Dominic, Reynolds, Peter, Reynolds, Piero, Rhodes, Jonathan, Riaz, Naghma, Rice, Emily, Rice, Matthew, Rich, Mel, Richards, Alison, Richards, Liz, Richards, Suzanne, Richardson, Celia, Richardson, Julie, Richardson, Neil, Richardson, Nicky, Riches, Joanne, Riches, Katie, Richmond, Leah, Richmond, Ruth, Ricketts, William, Rickman, Hannah, Riddell, Anna, Ridha, Mohamed, Ridley, Carrie, Ridley, Paul, Rieck, Gudrun, Rigby, Linsey, Rijal, Samita, Riley, Hannah, Riley, Matthew, Riley, Phil, Rimainar, Atika, Rimba, Zwesty V P, Rimmer, Dominic, Rintoul, Robert, Riordan, Andrew, Ripley, David, Rippon, Naomi, Rishton, Chloe, Riste, Michael, Ritchie, David, Ritchie, Jane, Ritchings, Andy, Rivera Ortega, Pilar, Rivers, Vanessa, Rizvi, Batool, Rizvi, Syed AS, Rizvi, Syed H M, Robb, James, Roberts, Ian, Roberts, Jane, Roberts, Jean, Roberts, Karen, Roberts, Mark, Roberts, Nicky, Roberts, Philip, Roberts, Rebecca, Robertson, Calum, Robertson, James, Robertson, Jamie, Robertson, Nichola, Robertson, Stuart, Robin, Nicole, Robinson, Caroline, Robinson, Emma, Robinson, Gisela, Robinson, Hannah, Robinson, Jemima, Robinson, Kate, Robinson, Matthew, Robinson, Ryan, Robinson, Sandra, Robson, Steve, Roche, Lisa, Roche, Samantha, Rodden, Natalie, Roddick, Alistair, Roddy, Jack, Roderick, Marion, Rodger, Alison, Rodger, Faye, Rodger, Megan, Rodgers, Alicia, Rodgers, Deirdre, Rodgers, Natasha, Rodgers, Penny, Rodriguez-Belmonte, Rocio, Roe, Nicholas, Roehr, Charles, Rogers, Gill, Rogers, Jason, Rogers, Joanne, Rogers, John Rogers, Rogers, Leigh, Rogers, Lindsay, Rogers, Michaela, Rogers, Paula, Rogers, Susan, Rogers, Thomas, Rokadiya, Sakib, Rollins, Lee, Rollo, Jennifer, Rolls, Catherine, Rook, Claire, Rooney, Kevin, Rooney, Lynsey, Rosaroso, Lace Paulyn, Rose, Alastair, Rose, Annie, Rose, Steve, Rose, Zoe, Rosier, Josephine, Ross, Jack, Rossdale, Jenny, Ross-Parker, Andrew, Rothman, Alex, Rothwell, Joanne, Roughley, Lindsay, Rowan, Kathryn, Rowan, Neil, Rowan, Stephen, Rowe, Anna, Rowe-Leete, Louise, Rowlands, Benjamin, Rowley, Megan, Roy, Aparajita, Roy, Subarna, Roynon-Reed, Anna, 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2022
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36. Sleep Sufficiency in Pediatric and Adolescent Tourette's Disorder

Author

Ricketts, Emily J, Rozenman, Michelle, Choy, Caitlin, Goldberg, Hannah B, Kim, Jessica S, Colwell, Christopher S, McCracken, James T, and Piacentini, John

Subjects
Clinical and Health Psychology, Biomedical and Clinical Sciences, Psychology, Mental Health, Clinical Research, Pediatric, Brain Disorders, Depression, Behavioral and Social Science, Sleep Research, Neurosciences, Prevention, Mental health, Adolescent, Age Factors, Anxiety Disorders, Attention Deficit Disorder with Hyperactivity, Case-Control Studies, Child, Comorbidity, Depressive Disorder, Female, Health Surveys, Humans, Male, Severity of Illness Index, Sex Factors, Sleep Wake Disorders, Tourette Syndrome, United States, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental & Child Psychology, Biomedical and clinical sciences, Health sciences
Abstract

ObjectiveThe present study compared sleep sufficiency in youth with current Tourette's disorder (TD), history of TD and matched case controls, and examined predictors of sufficient sleep using a large US population-based survey.MethodParticipants were 673 caregivers of youth aged 6 to 17 years (298 with current TD, 122 with a history of TD with no endorsement of current diagnosis, and 254 matched case controls) from the 2007 and 2011-2012 versions of the National Survey of Children's Health. History and current TD status, current comorbidity (attention deficit/hyperactivity disorder, anxiety, and depression) and psychiatric medication status were assessed by yes/no items. Current TD severity was dichotomized into mild or moderate/severe symptoms. Sleep was assessed by parent-reported number of sufficient nights their child slept in the past week.ResultsUnivariate analysis of variance yielded significant group differences in nights of sufficient sleep (F[2,369.70] = 71.53, p < .001), with controls having 1.5 more nights per week relative to both TD groups (p < .001). With respect to predictors of sufficient sleep, the analysis of covariance yielded a significant age × sex × TD severity interaction (F[1,15.84] = 4.28, p = .04) such that older adolescent males with mild TD had significantly fewer nights of sufficient sleep than children (p = .004) and early adolescents (p = .002; F[2,54.93] = 7.45, p = .001). Early adolescent females with moderate/severe TD had fewer nights of sufficient sleep relative to males (p = .008). Comorbidity type and psychiatric medication status did not significantly predict sleep.ConclusionFindings suggest that insufficient sleep in youth with TD persists independently of comorbidity or psychiatric medication status. Findings highlight the importance of clinical sleep monitoring in this population.

Published
2018

37. Patient Perspectives on AI for Mental Health - With Great [Computing] Power, Comes Great Responsibility: A Cross-sectional Public Survey (Preprint)

Author

Benda, Natalie, primary, Desai, Pooja M., additional, Reza, Zayan, additional, Zhang, Anna, additional, Kumar, Shiveen, additional, Harkins, Sarah, additional, Hermann, Alison, additional, Zhang, Yiye, additional, Joly, Rochelle, additional, Kim, Jessica, additional, Pathak, Jyotishman, additional, and Reading Turchioe, Meghan, additional

Published
2024
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38. Patient Perspectives on AI for Mental Health: With Great [Computing] Power, Comes Great Responsibility

Author

Benda, Natalie C., primary, Desai, Pooja M., additional, Reza, Zayan, additional, Zhang, Anna, additional, Kumar, Shiveen, additional, Harkins, Sarah, additional, Hermann, Alison, additional, Zhang, Yiye, additional, Joly, Rochelle, additional, Kim, Jessica, additional, Pathak, Jyotishman, additional, and Turchioe, Meghan Reading, additional

Published
2024
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45. Enhanced Functional Genomic Screening Identifies Novel Mediators of Dual Leucine Zipper Kinase-Dependent Injury Signaling in Neurons

Author

Welsbie, Derek S, Mitchell, Katherine L, Jaskula-Ranga, Vinod, Sluch, Valentin M, Yang, Zhiyong, Kim, Jessica, Buehler, Eugen, Patel, Amit, Martin, Scott E, Zhang, Ping-Wu, Ge, Yan, Duan, Yukan, Fuller, John, Kim, Byung-Jin, Hamed, Eman, Chamling, Xitiz, Lei, Lei, Fraser, Iain DC, Ronai, Ze’ev A, Berlinicke, Cynthia A, and Zack, Donald J

Subjects
Biomedical and Clinical Sciences, Neurosciences, Genetics, Biotechnology, Stem Cell Research - Embryonic - Human, Human Genome, Stem Cell Research, Aetiology, 2.1 Biological and endogenous factors, Underpinning research, 1.1 Normal biological development and functioning, Animals, Cell Death, Cell Survival, Disease Models, Animal, Flow Cytometry, Human Embryonic Stem Cells, Humans, Immunoprecipitation, MAP Kinase Kinase Kinases, Mice, Mice, Knockout, Neurites, Neurons, Optic Nerve Injuries, Piperazines, Protein Kinase Inhibitors, Real-Time Polymerase Chain Reaction, Retina, Retinal Ganglion Cells, DLK, LZK, Neuroprotection, RGC, RNAi screen, cell death signaling, glaucoma, Psychology, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Dual leucine zipper kinase (DLK) has been implicated in cell death signaling secondary to axonal damage in retinal ganglion cells (RGCs) and other neurons. To better understand the pathway through which DLK acts, we developed enhanced functional genomic screens in primary RGCs, including use of arrayed, whole-genome, small interfering RNA libraries. Explaining why DLK inhibition is only partially protective, we identify leucine zipper kinase (LZK) as cooperating with DLK to activate downstream signaling and cell death in RGCs, including in a mouse model of optic nerve injury, and show that the same pathway is active in human stem cell-derived RGCs. Moreover, we identify four transcription factors, JUN, activating transcription factor 2 (ATF2), myocyte-specific enhancer factor 2A (MEF2A), and SRY-Box 11 (SOX11), as being the major downstream mediators through which DLK/LZK activation leads to RGC cell death. Increased understanding of the DLK pathway has implications for understanding and treating neurodegenerative diseases.

Published
2017

46. Gut Microbial Diversity in Antibiotic-Naive Children After Systemic Antibiotic Exposure: A Randomized Controlled Trial.

Author

Doan, Thuy, Arzika, Ahmed M, Ray, Kathryn J, Cotter, Sun Y, Kim, Jessica, Maliki, Ramatou, Zhong, Lina, Zhou, Zhaoxia, Porco, Travis C, Vanderschelden, Benjamin, Keenan, Jeremy D, and Lietman, Thomas M

Subjects
Gastrointestinal Tract, Humans, Bacteria, Azithromycin, DNA, Ribosomal, RNA, Ribosomal, 16S, Placebos, Anti-Bacterial Agents, Administration, Oral, Cluster Analysis, Sequence Analysis, DNA, Biodiversity, Phylogeny, Child, Preschool, Infant, Niger, Female, Male, Gastrointestinal Microbiome, antibiotics., azithromycin, children, gut microbiome, randomized controlled trial, Clinical Trials and Supportive Activities, Pediatric, Nutrition, Clinical Research, Complementary and Integrative Health, Evaluation of treatments and therapeutic interventions, Development of treatments and therapeutic interventions, 5.1 Pharmaceuticals, 6.1 Pharmaceuticals, antibiotics, Biological Sciences, Medical and Health Sciences, Microbiology
Abstract

BackgroundAntibiotic exposure can alter the gut microbiome. We evaluate the effects of azithromycin on the gut microbiome diversity of children from an antibiotic-naive community in Niger.MethodsA population-based sample of 80 children aged 1-60 months in the Dosso region of Niger was randomized to receive a single dose of either oral azithromycin or placebo. Fecal samples were collected immediately before treatment and 5 days after treatment for 16S rRNA gene sequencing. The prespecified outcome was α-diversity (inverse Simpson's α-diversity index), with secondary outcomes of β and γ Simpson's and Shannon's diversities.ResultsAt 5 days after treatment, 40 children aged 1-60 months were analyzed in the azithromycin-treated group and 40 children in the placebo-treated group. Diversity of the gut microbiome was significantly lower in the treated group (inverse Simpson's α-diversity, 5.03; 95% confidence interval [CI], 4.08-6.14) than in the placebo group (6.91; 95% CI, 5.82-8.21; P = .03). Similarly, the Shannon's α-diversity was lower in the treated group (10.60; 95% CI, 8.82-12.36) than the placebo group (15.42; 95% CI, 13.24-17.80; P = .004). Simpson's community-level (γ) diversity decreased with azithromycin exposure from 17.72 (95% CI, 13.80-20.21) to 10.10 (95% CI, 7.80-11.40; P = .00008), although β-diversity was not significantly reduced (2.56, 95% CI, 1.88-3.12; to 2.01, 95% CI, 1.46-2.51; P = .26).ConclusionsOral administration of azithromycin definitively decreases the diversity of the gut microbiome of children in an antibiotic-naive community.Clinical trials registrationNCT02048007.

Published
2017

47. Yoga to decrease depression among depressed pregnant patients

Author

Kim, Jessica Wiedemann

Subjects
depression, emotional health, low birth weight, pregnancy, pregnancy-induced hypertension, pregnant, prenatal depression, preterm birth, yoga, literature review, 2016 Annual Nursing Research Symposium, Sue & Bill Gross School of Nursing, University of California Irvine Medical Center
Abstract

Depression is a prominent cause of global morbidity, and one of the most common medical conditions during pregnancy. Prenatal depression can lead to detrimental outcomes including preterm birth, low birth weight, and postpartum depression. Screening for depression is recommended at least once during the perinatal period. However, even after a diagnosis of depression, several barriers to treatment exist, including cost and patient opposition to treatment. This literature review examines the effectiveness of yoga practice in pregnant women who are depressed or have depressive symptoms. Five research articles published within the last five years were selected that support a yoga practice innovation for prenatal depression management. The utility of yoga is demonstrated in these articles in clinically depressed pregnant women and pregnant women with symptoms of depression or anxiety. A yoga practice protocol shown to be effective in prenatal depression was replicated, and based on that protocol, this paper proposes that clinics that care for depressed pregnant women employ an evidence-based yoga intervention spanning twelve weeks with a minimum of twice weekly yoga practice. Research has shown that yoga practice is safe, efficacious, practical, and decreases prenatal depressive symptoms. Future research should include the diverse demographics of socioeconomic status, prenatal care access, and ethnicity of depressed pregnant women to strengthen the data supporting yoga practice for prenatal depression management.Faculty advisor: Lorraine Evangelista, Ph.D.  l.evangelista@uci.edu - Program in Nursing Science

Published
2016

48. Visualizing machine learning-based predictions of postpartum depression risk for lay audiences

Author

Desai, Pooja M, primary, Harkins, Sarah, additional, Rahman, Saanjaana, additional, Kumar, Shiveen, additional, Hermann, Alison, additional, Joly, Rochelle, additional, Zhang, Yiye, additional, Pathak, Jyotishman, additional, Kim, Jessica, additional, D’Angelo, Deborah, additional, Benda, Natalie C, additional, and Reading Turchioe, Meghan, additional

Published
2023
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50. Essays on Firearm Sales

Author

Kim, Jessica Jumee

Subjects
Marketing, Public health, Public policy
Abstract

This dissertation comprises two papers examining an understudied topic in marketing: firearm sales. Firearm sales and acquisition data are not easily obtainable, but there is a pressing need for data to study firearm policy. Chapter 1 examines candidate proxy measures to measure legal prevalence when prevalence data is not readily available. Chapter 2 examines the role of loosening firearm usage restrictions on firearm sales and public health-related outcomes including suicides and crime. Chapter 1 introduces Legal Firearm Prevalence (LFP), a direct behavioral measure based on the population of firearm licensees in Massachusetts that captures the proportion of the population who legally own or access a firearm. We argue that LFP can help evaluate firearm sales and usage restrictions. LFP is not directly measurable in most firearm markets, so we test candidate proxies for Legal Firearm Prevalence in several common research designs, finding that firearm acquisitions is the best proxy in every research design tested. We update the classic study of guns and crime by Cook and Ludwig (2006), finding that choosing an invalid proxy can lead to false research conclusions. We recommend systematic collection and reporting of firearm acquisition data to improve firearm research and inform firearm policy.Chapter 2 evaluates three frequent firearm usage policy changes: Concealed Carry Shall Issue (removes local authority discretion and mandates permit issuance when basic requirements are met), Permitless Concealed Carry (permit removal), and Stand Your Ground (legal protection of self-defensive use of firearms in public). I construct a unique state/month panel dataset from 2010 to 2017 and measure sales directly with sales data from an online retail platform and the federal background checks database. Using a difference-in-differences research design with staggered law adoption timing, I estimate the average policy effects on firearm sales, suicides, aggravated assaults, burglary, accidental firearm deaths, and mass shootings. The findings show that Concealed Carry Shall Issue laws increase handgun online sales and handgun background checks, while reducing that of long guns. Permitless Concealed Carry laws increase handgun background checks, firearm suicides and accidental firearm deaths. There is weak evidence of Stand Your Ground laws changing the studied outcomes.

Published
2022

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