Showing 21 - 31 results of 31 for search '"Genetic epidemiology"', query time: 0.06s Refine Results
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    Distribution of sasX, mupA, and qacA/B genes and determination of genetic relatedness of epidemic methicillin-resistant Staphylococcus aureus strains associated with bloodstream in... by Rui Zhao, Bingyu Du, Lingling Hu, Chenxi Li, Fen Xue, Xing Wang, Changhong Jiang, Jinghua Wang, Yanfeng Zhao

    Published 2025-01-01
    “…These findings contribute to a better understanding of the genetic epidemiology of MRSA in the region, facilitating the development of effective prevention and control strategies for BSI.…”
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    Uptake and 4-week outcomes of an ‘opt-out’ smoking cessation referral strategy in a London-based lung cancer screening setting by Anthony Edey, Neal Navani, Kitty Chan, Graham Robinson, Janine Zylstra, Paul Robinson, Laura Green, Anand Devaraj, Jane Rowlands, Allan Hackshaw, Carolyn Horst, Arjun Nair, Sam M Janes, Kate Davies, Jeannie Eng, Mamta Ruparel, Samantha L Quaife, Jennifer L Dickson, Magali Taylor, Angshu Bhowmik, Hasti Robbie, Joseph Jacob, Laura Farrelly, Sophie Tisi, Tanya Patrick, Andrew Creamer, Helen Hall, Samanjit Hare, Jon Teague, Samuel M Janes, Esther Arthur-Darkwa, Thea Buchan, Stephen Ellis, Thomas Callender, Rachael Sarpong, John McCabe, Zaheer Mangera, Ethaar El-Emir, Terry O'Shaughnessy, Geoff Bellingan, Nick Screaton, Priyam Verghese, William M Ricketts, Vicky Bowyer, Kylie Gyertson, Fanta Bojang, Claire Levermore, Tania Anastasiadis, Ruth Prendecki, Amyn Bhamani, Malavika Suresh, Judy Airebamen, Alice Cotton, Kaylene Phua, Elodie Murali, Simranjit Mehta, Karen Parry-Billings, Columbus Ife, April Neville, Zahra Hanif, Helen Kiconco, Ricardo McEwen, Dominique Arancon, Nicholas Beech, Derya Ovayolu, Christine Hosein, Sylvia Patricia Enes, Qin April Neville, Aashna Samson, Urja Patel, Fahmida Hoque, Hina Pervez, Sofia Nnorom, Moksud Miah, Julian McKee, Mark Clark, Anant Patel, Sara Lock, Rajesh Banka, Ugo Ekeowa, Charlotte Cash, Tunku Aziz, Alberto Villanueva, Elena Stefan, Charlie Sayer, Navinah Nundlall, Andrew Crossingham, Tanita Limani, Kate Gowers, Andrew Perugia, James Rusius, Anne-Marie Hacker, Monica L Mullin, Evangelos Katsampouris, Chuen R Khaw, Chuen Khaw, Sheetal Karavadra, Alan Shaw, Chris Valerio, Ali Mohammed, Lynsey Gallagher, Mehran Azimbagirad, Burcu Ozaltin, Maureen Browne, Eleanor Hellier, Catherine Nestor

    Published 2025-02-01
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    Analysis of the Complete Genomes of Enterovirus 71 Subtypes in China by Lei Wang, Yuzhu Dai, Jun Cheng, Changgui Sun, Yu Chen, Dawei Cui

    Published 2021-01-01
    “…The phylogenetic trees were developed by MEGA7.0 software, and the complete genetic epidemiological characteristics and amino acid mutations of EV-A71 from China were also analysed. …”
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    Utility of Lymphoblastoid Cell Lines for Induced Pluripotent Stem Cell Generation by Satish Kumar, Joanne E. Curran, David C. Glahn, John Blangero

    Published 2016-01-01
    “…A large number of EBV immortalized LCLs have been generated and maintained in genetic/epidemiological studies as a perpetual source of DNA and as a surrogate in vitro cell model. …”
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    The Utah Population Database. A Model for Linking Medical and Genealogical Records for Population Health Research by Ken R. Smith, Alison Fraser, Diana Lane Reed, Jahn Barlow, Heidi A. Hanson, Jennifer West, Stacey Knight, Navina Forsythe, Geraldine P. Mineau

    Published 2022-05-01
    “…The UPDB at the University of Utah is one of the world’s richest sources of in-depth information that supports research on genetics, epidemiology, demography, history, and public health. …”
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    A broad assessment of forty-one skin phenotypes reveals complex dimensions of skin ageing by Jun Yan Ng, Qi Yi Ambrose Wong, Jun Jie Lim, Dingyu Cen, Jia Yi Karen Wong, Yi Ying Eliza Lim, Yang Yie Sio, Kavita Reginald, Yee-How Say, Fook Tim Chew

    Published 2025-02-01
    “…Results We analysed our study population, which is composed of 3281 ethnic Chinese participants from the Singapore/Malaysia Cross-sectional Genetics Epidemiology Study (SMCGES). The first ten principal components cumulatively explain 46.88% of the variance of skin ageing phenotypes in our study population. …”
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