L
Lei Zhang
Researcher at Chinese Ministry of Education
Publications - 147
Citations - 3582
Lei Zhang is an academic researcher from Chinese Ministry of Education. The author has contributed to research in topics: Genome-wide association study & Single-nucleotide polymorphism. The author has an hindex of 28, co-authored 138 publications receiving 2786 citations. Previous affiliations of Lei Zhang include University of Shanghai for Science and Technology & Anhui Medical University.
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Journal ArticleDOI
Genome-wide association scans identified CTNNBL1 as a novel gene for obesity
Yong Jun Liu,Xiao-Gang Liu,Xiao-Gang Liu,Liang Wang,Liang Wang,Christian Dina,Han Yan,Han Yan,Jianfeng Liu,Shawn Levy,Christopher J. Papasian,Betty M. Drees,James J. Hamilton,David Meyre,Jérôme Delplanque,Yu-Fang Pei,Lei Zhang,Robert R. Recker,Philippe Froguel,Philippe Froguel,Hong-Wen Deng +20 more
TL;DR: A genome-wide association scan for obesity is performed by examining approximately 500 000 single-nucleotide polymorphisms (SNPs) in a sample of 1000 unrelated US Caucasians to identify a novel gene, CTNNBL1, which has multiple SNPs associated with body mass index (BMI) and fat mass.
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Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model
Qiwen Deng,Bangshun He,Xian Liu,Jin Yue,Houqun Ying,Houqun Ying,Yuqin Pan,Huiling Sun,Huiling Sun,Jie Chen,Jie Chen,Feng Wang,Tianyi Gao,Lei Zhang,Shukui Wang +14 more
TL;DR: Pre-operative NLR and dNLR may serve as potential prognostic biomarkers in patients with GC who underwent surgical resection and could more accurately predict cancer-specific survival (CSS) and disease-free survival (DFS) in surgical GC patients.
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A road map for understanding molecular and genetic determinants of osteoporosis
Tie-Lin Yang,Hui Shen,Anqi Liu,Shan-Shan Dong,Lei Zhang,Fei-Yan Deng,Qi Zhao,Hong-Wen Deng,Hong-Wen Deng +8 more
TL;DR: Integration of omics approaches can provide a holistic road map to comprehensively illuminate the complex pathogenesis of osteoporosis and fulfil the potential of personalized disease risk prediction, intervention and treatment as well as drug development or re-purposing.
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Analyses and Comparison of Accuracy of Different Genotype Imputation Methods
Yu-Fang Pei,Jian Jian Li,Lei Zhang,Lei Zhang,Christopher J. Papasian,Hong-Wen Deng,Hong-Wen Deng,Hong-Wen Deng +7 more
TL;DR: This study investigated and compared the performance of five popular genotype imputation methods, MACH, IMPUTE, fastPHASE, PLINK and Beagle, and showed that a stronger LD and a lower MAF for an untyped marker produced better ARs for all the five methods.
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Comparative studies of de novo assembly tools for next-generation sequencing technologies
TL;DR: The performance of commonly used de novo assembly tools specifically designed for next-generation sequencing data, including SSAKE, VCAKE, Euler-sr, Edena, Velvet, ABySS and SOAPdenovo are compared.