Author

Qianqian Peng

Chinese Academy of SciencesORCID 0000-0002-2018-5706Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Sijia WangiD· 3 shared Jin LiiD· 2 shared Andreas KelleriD· 1 shared Bingjie LiiD· 1 shared Dan LiiD· 1 shared Fei-Ling LimiD· 1 shared Guoqing ZhangiD· 1 shared Jingze TaniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersGenetics

Sijia WangORCID

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3 papers

Recent·Most cited

High-efficiency likelihood inference of shared proteomic architectures across 50 complex human traits

Xiaoru Sun, Sizhe Yang, Qianqian Peng, Xuan Zhang, Yijia Qian, Renliang Sun, Guoqing Zhang, Sijia Wang, Jin Li, Menghan Zhang

This study introduces LEAP, a method for estimating shared proteomic architectures across traits, finding 585 significant proteomic correlations among 50 traits using UK Biobank data.

bioRxiv · Mar 16, 2025 · PreprintBioinformatics

From musk to body odor: decoding olfaction through genetic variation

Bingjie Li, Marissa L. Kamarck, Qianqian Peng, Fei-Ling Lim, Andreas Keller, Monique A. M. Smeets, Joel D. Mainland, Sijia Wang

This study identifies genetic associations between olfactory receptors and odor perception in humans, revealing novel links and supporting the hypothesis of olfactory gene degradation.

PLoS Genetics · Feb 3, 2022Peer-reviewedGenetics

Genome-wide Association study of facial morphology identifies novel genetic loci in Han Chinese

Yin Huang, Dan Li, Lu Qiao, Yu Liu, Qianqian Peng, Sijie Wu, Manfei Zhang, Yajun Yang, Jingze Tan, Shuhua Xu, Jin Li, Sijia Wang, Kun Tang, Stefan Grünewald

This study identifies five novel genetic loci associated with facial morphology traits in Han Chinese through a genome-wide association analysis of 3D facial data.

Journal of genetics and genomics/Journal of Genetics and Genomics · Nov 9, 2020Peer-reviewedGenetics