Imperial College London

DrWeihuaZhang

Faculty of MedicineSchool of Public Health

Honorary Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 1612weihua.zhang

 
 
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Location

 

165Medical SchoolSt Mary's Campus

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Summary

 

Summary

I graduated from School of Public Health, Xi'an Medical University in 1990.  I continued my studies leading to Master's and Ph.D. degrees on Cancer Epidemiology and Genetic Epidemiology in China afterwards.  I am very interested in reseaches into causes of diseases, which may provide people with information to prevent them from getting certain diseases. Over the last decade, I participated in statistical genetics methodological development and relevant studies. Recently my research has focused on genetic variants and their relation with human diseases and phenotypes.   I joined Imperial in 2007.  It is my pleasure and privilege to work with excellent researchers and staff in the Department. Most of my current work involves performing genetic data analysis to facilitate finding genes associated with cardiovascular disease and other common diseases and phenotypes.

Publications

Journals

Patel R, Kooner J, Zhang W, 2023, Comorbidities associated with the severity of COVID-19, and differences across ethnic groups: a UK Biobank cohort study, Bmc Public Health, Vol:23, ISSN:1471-2458, Pages:1-13

van de Vegte Y, Eppinga RP, van der Ende MY, et al., 2023, Genetic insights into resting heart rate and its role in cardiovascular disease, Nature Communications, Vol:14, ISSN:2041-1723

Li JH, Brenner LN, Kaur V, et al., 2023, Genome-wide association analysis identifies ancestry-specific genetic variation associated with acute response to metformin and glipizide in SUGAR-MGH., Diabetologia, Vol:66, Pages:1260-1272

Farooqi R, Zhang W, Kooner J, 2023, Associations between polygenic risk score and COVID-19 susceptibility and severity across ethnic groups: UK biobank analysis, Bmc Medical Genomics, Vol:16, ISSN:1755-8794, Pages:1-15

Graham SE, Clarke SL, Wu K-HH, et al., 2023, Author Correction: The power of genetic diversity in genome-wide association studies of lipids, Nature, Vol:618, ISSN:0028-0836, Pages:E19-E20

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