Zobrazeno 1 - 10
of 37
pro vyhledávání: '"SHIH LING KAO"'
Autor:
Hwee Hui Lau, Nicole A. J. Krentz, Fernando Abaitua, Marta Perez-Alcantara, Jun-Wei Chan, Jila Ajeian, Soumita Ghosh, Yunkyeong Lee, Jing Yang, Swaraj Thaman, Benoite Champon, Han Sun, Alokkumar Jha, Shawn Hoon, Nguan Soon Tan, Daphne Su-Lyn Gardner, Shih Ling Kao, E. Shyong Tai, Anna L. Gloyn, Adrian Kee Keong Teo
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract The coding variant (p.Arg192His) in the transcription factor PAX4 is associated with an altered risk for type 2 diabetes (T2D) in East Asian populations. In mice, Pax4 is essential for beta cell formation but its role on human beta cell deve
Externí odkaz:
https://doaj.org/article/04c9903c45a041a292092f38195e3bde
Autor:
Shih Ling Kao, Ying Chen, Yilin Ning, Maudrene Tan, Mark Salloway, Eric Yin Hao Khoo, E Shyong Tai, Chuen Seng Tan
Publikováno v:
Clinical Diabetes and Endocrinology, Vol 6, Iss 1, Pp 1-13 (2020)
Abstract Background Diabetes mellitus (DM) is one of the most common chronic diseases. Individuals with DM are more likely to be hospitalised and stay longer than those without DM. Inpatient hypoglycemia and hyperglycemia, which are associated with a
Externí odkaz:
https://doaj.org/article/76c54773d440464198eb4bd1d0c007ca
Autor:
Yilin Ning, Nathalie C. Støer, Peh Joo Ho, Shih Ling Kao, Kee Yuan Ngiam, Eric Yin Hao Khoo, Soo Chin Lee, E-Shyong Tai, Mikael Hartman, Marie Reilly, Chuen Seng Tan
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background The change in two measurements of a continuous outcome can be modelled directly with a linear regression model, or indirectly with a random effects model (REM) of the individual measurements. These methods are susceptible to model
Externí odkaz:
https://doaj.org/article/922a6a4d775a4a0a908cabff79db968f
Autor:
Ying Chen, Yilin Ning, Shih Ling Kao, Nathalie C. Støer, Falk Müller-Riemenschneider, Kavita Venkataraman, Eric Yin Hao Khoo, E-Shyong Tai, Chuen Seng Tan
Publikováno v:
BMC Medical Research Methodology, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background Although criticisms regarding the dichotomisation of continuous variables are well known, applying logit model to dichotomised outcomes is the convention because the odds ratios are easily obtained and they approximate the relativ
Externí odkaz:
https://doaj.org/article/22d5e74265f34077865143e9cc70959d
Autor:
Ying Chen, Shih Ling Kao, E-Shyong Tai, Hwee Lin Wee, Eric Yin Hao Khoo, Yilin Ning, Mark Kevin Salloway, Xiaodong Deng, Chuen Seng Tan
Publikováno v:
BMC Medical Research Methodology, Vol 16, Iss 1, Pp 1-9 (2016)
Abstract Background Regular and timely monitoring of blood glucose (BG) levels in hospitalized patients with diabetes mellitus is crucial to optimizing inpatient glycaemic control. However, methods to quantify timeliness as a measurement of quality o
Externí odkaz:
https://doaj.org/article/05f99318167a4f939873aca88edbafaf
Autor:
Kai Yi Tay, Kan Xing Wu, Florence Wen Jing Chioh, Matias Ilmari Autio, Nicole Min Qian Pek, Balakrishnan Chakrapani Narmada, Sock-Hwee Tan, Adrian Fatt-Hoe Low, Michelle Mulan Lian, Elaine Guo Yan Chew, Hwee Hui Lau, Shih Ling Kao, Adrian Kee Keong Teo, Jia Nee Foo, Roger Sik Yin Foo, Chew Kiat Heng, Mark Yan Yee Chan, Christine Cheung
Background and aims: Single nucleotide polymorphism rs6903956 has been identified as one of the genetic risk factors for coronary artery disease (CAD). However, rs6903956 lies in a non-coding locus on chromosome 6p24.1. We aim to interrogate the mole
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7fca752bb9ffd58aa6c421982b80e6c
https://doi.org/10.1101/2022.07.12.499721
https://doi.org/10.1101/2022.07.12.499721
Autor:
NICOLE KRENTZ, HWEE HUI LAU, FERNANDO ABAITUA, MARTA PEREZ-ALCANTARA, JUN WEI CHAN, JILA N. AJEIAN, BENOITE CHAMPON, HAN SUN, ALOKKUMAR JHA, SHAWN HOON, DAPHNE GARDNER, SHIH LING KAO, E. SHYONG TAI, ANNA L. GLOYN, ADRIAN TEO
Publikováno v:
Diabetes. 71
In an effort to identify disease-causing mechanisms, numerous genome-wide studies across different ancestries have discovered genetic variants influencing type 2 diabetes (T2D) risk. Amongst identified diabetes-associated loci, a PAX4 coding variant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c39d19ea9aac68dd0945f77959f31b
https://doi.org/10.2337/db22-249-lb
https://doi.org/10.2337/db22-249-lb
Autor:
E. Shyong Tai, Shih Ling Kao, Yilin Ning, Ying Chen, Mark Kevin Salloway, Eric Yin Hao Khoo, Chuen Seng Tan, Maudrene L. S. Tan
Publikováno v:
Clinical Diabetes and Endocrinology, Vol 6, Iss 1, Pp 1-13 (2020)
Clinical Diabetes and Endocrinology
Clinical Diabetes and Endocrinology
Background Diabetes mellitus (DM) is one of the most common chronic diseases. Individuals with DM are more likely to be hospitalised and stay longer than those without DM. Inpatient hypoglycemia and hyperglycemia, which are associated with adverse ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb208ac0d228859b8b536d6202854422
http://link.springer.com/article/10.1186/s40842-020-00107-2
http://link.springer.com/article/10.1186/s40842-020-00107-2
Autor:
Mikael Hartman, Nathalie C. Støer, E-Shyong Tai, Kee Yuan Ngiam, Eric Yin Hao Khoo, Yilin Ning, Soo-Chin Lee, Chuen Seng Tan, Shih Ling Kao, Marie Reilly, Peh Joo Ho
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-11 (2020)
BMC Medical Research Methodology
BMC Medical Research Methodology
Background The change in two measurements of a continuous outcome can be modelled directly with a linear regression model, or indirectly with a random effects model (REM) of the individual measurements. These methods are susceptible to model misspeci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca49af474f1e81ece114a8ab15def48c
http://link.springer.com/article/10.1186/s12874-020-01027-6
http://link.springer.com/article/10.1186/s12874-020-01027-6
Autor:
Kai Xin Ng, Xi Min Tan, Shih Ling Kao, Shao Feng Mok, Siew Wai Fan, Quek Peng Yan Megan, Maudrene L.S. Tan, Shauna Soh Xin Ni
Publikováno v:
Diabetes. 70
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943ee950cd7e911b478a307135f246d7
https://doi.org/10.2337/db21-848-p
https://doi.org/10.2337/db21-848-p