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

Goyal S, Tanigawa Y, Zhang W, et al., 2021, APOC3 genetic variation, serum triglycerides, and risk of coronary artery disease in Asian Indians, Europeans, and other ethnic groups, Lipids in Health and Disease, Vol:20

Chen J, Spracklen CN, Marenne G, et al., 2021, The trans-ancestral genomic architecture of glycemic traits, Nature Genetics, Vol:53, ISSN:1061-4036, Pages:840-+

Surendran P, Feofanova EV, Lahrouchi N, et al., 2021, Publisher Correction: Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals, Nature Genetics, Vol:53, ISSN:1061-4036, Pages:1-2

Gomez-Alonso MDC, Kretschmer A, Wilson R, et al., 2021, DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures, Clinical Epigenetics, Vol:13, ISSN:1868-7075

Surendran P, Gao H, Zhang W, et al., 2020, Discovery of rare variants associated with blood pressure regulation trhough meta-analaysis of 1.3 million individuals, Nature Genetics, Vol:52, ISSN:1061-4036, Pages:1314-1332

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