日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Real-World Follow-Up of People With Type 2 Diabetes Using a Mobile Diabetes App With Connected Glucose Meters Finds Improvements in Glycemia Are Durable Over 5 Years

一项针对使用移动糖尿病应用程序和连接血糖仪的2型糖尿病患者的真实世界随访研究发现,血糖控制的改善效果可持续5年以上。

Grady, Mike; MacKintosh, Stephen; Fryett, Matthew; Phillips, Stuart; Holt, Elizabeth

Determining Environmental Factors That Influence the Occurrence of Sarcoptic Mange in Bare-Nosed Wombats (Vombatus ursinus) Using Citizen Science Data

利用公民科学数据确定影响裸鼻袋熊(Vombatus ursinus)疥螨病发生的环境因素

Fryett, Emily R; Subasinghe, Chandima N; Old, Julie M; Stannard, Hayley J

Corrigendum to 'An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs' [J Hepatol 2021;75(3):572-581]

对“原发性胆汁性胆管炎的国际全基因组荟萃分析:新的风险位点和候选药物”的更正[J Hepatol 2021;75(3):572-581]

Cordell, Heather J; Fryett, James J; Ueno, Kazuko; Darlay, Rebecca; Aiba, Yoshihiro; Hitomi, Yuki; Kawashima, Minae; Nishida, Nao; Khor, Seik-Soon; Gervais, Olivier; Kawai, Yosuke; Nagasaki, Masao; Tokunaga, Katsushi; Tang, Ruqi; Shi, Yongyong; Li, Zhiqiang; Juran, Brian D; Atkinson, Elizabeth J; Gerussi, Alessio; Carbone, Marco; Asselta, Rosanna; Cheung, Angela; de Andrade, Mariza; Baras, Aris; Horowitz, Julie; Ferreira, Manuel A R; Sun, Dylan; Jones, David E; Flack, Steven; Spicer, Ann; Mulcahy, Victoria L; Byun, Jinyoung; Han, Younghun; Sandford, Richard N; Lazaridis, Konstantinos N; Amos, Christopher I; Hirschfield, Gideon M; Seldin, Michael F; Invernizzi, Pietro; Siminovitch, Katherine A; Ma, Xiong; Nakamura, Minoru; Mells, George F

Investigating the prediction of CpG methylation levels from SNP genotype data to help elucidate relationships between methylation, gene expression and complex traits

利用SNP基因型数据预测CpG甲基化水平,有助于阐明甲基化、基因表达和复杂性状之间的关系。

Fryett, James J; Morris, Andrew P; Cordell, Heather J

An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs

一项针对原发性胆汁性胆管炎的国际全基因组荟萃分析:新的风险位点和候选药物

Cordell, Heather J; Fryett, James J; Ueno, Kazuko; Darlay, Rebecca; Aiba, Yoshihiro; Hitomi, Yuki; Kawashima, Minae; Nishida, Nao; Khor, Seik-Soon; Gervais, Olivier; Kawai, Yosuke; Nagasaki, Masao; Tokunaga, Katsushi; Tang, Ruqi; Shi, Yongyong; Li, Zhiqiang; Juran, Brian D; Atkinson, Elizabeth J; Gerussi, Alessio; Carbone, Marco; Asselta, Rosanna; Cheung, Angela; de Andrade, Mariza; Baras, Aris; Horowitz, Julie; Ferreira, Manuel A R; Sun, Dylan; Jones, David E; Flack, Steven; Spicer, Ann; Mulcahy, Victoria L; Byan, Jinyoung; Han, Younghun; Sandford, Richard N; Lazaridis, Konstantinos N; Amos, Christopher I; Hirschfield, Gideon M; Seldin, Michael F; Invernizzi, Pietro; Siminovitch, Katherine A; Ma, Xiong; Nakamura, Minoru; Mells, George F

Correction: Comparison of methods for transcriptome imputation through application to two common complex diseases

更正:通过应用于两种常见复杂疾病来比较转录组推断方法

Fryett, James J; Inshaw, Jamie; Morris, Andrew P; Cordell, Heather J

Investigation of prediction accuracy and the impact of sample size, ancestry, and tissue in transcriptome-wide association studies

转录组关联研究中预测准确性及样本量、祖源和组织的影响研究

Fryett, James J; Morris, Andrew P; Cordell, Heather J

Comparison of methods for transcriptome imputation through application to two common complex diseases

通过应用于两种常见复杂疾病,比较转录组推断方法。

Fryett, James J; Inshaw, Jamie; Morris, Andrew P; Cordell, Heather J