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

Kanoni S, Graham SE, Wang Y, et al., 2022, Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis., Genome Biol, Vol:23

Reeves JJ, Kooner JS, Zhang W, 2022, Accelerated ageing is associated with increased Covid-19 severity and differences across ethnic groups may exist, Frontiers in Public Health, Vol:10, ISSN:2296-2565, Pages:1-12

Yengo L, Vedantam S, Marouli E, et al., 2022, A saturated map of common genetic variants associated with human height, Nature, Vol:610, ISSN:0028-0836, Pages:704-+

Ramdas S, Judd J, Graham SE, et al., 2022, A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids, American Journal of Human Genetics, Vol:109, ISSN:0002-9297, Pages:1366-1387

Winkler TW, Rasheed H, Teumer A, et al., 2022, Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals, Communications Biology, Vol:5, ISSN:2399-3642

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