Qingrun Zhang
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Explore the profile of Qingrun Zhang including associated specialties, affiliations and a list of published articles.
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34
Citations
5535
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Recent Articles
1.
Mansouri S, Rochette M, Labonte B, Zhang Q, Chen T
Genet Epidemiol
. 2025 Jan;
49(1):e22612.
PMID: 39821553
Genotype-phenotype association studies have advanced our understanding of complex traits but often overlook sex-specific genetic signals. The growing awareness of sex-specific influences on human traits and diseases necessitates tailored statistical...
2.
Wang L, Guo Q, Acharya S, Zheng X, Huynh V, Whitmore B, et al.
Nat Neurosci
. 2024 Aug;
27(9):1708-1720.
PMID: 39103557
Astrocyte diversity is greatly influenced by local environmental modulation. Here we report that the majority of astrocytes across the mouse brain possess a singular primary cilium localized to the cell...
3.
Guo X, Ping J, Yang Y, Su X, Shu X, Wen W, et al.
Cancer Res
. 2024 May;
84(16):2707-2719.
PMID: 38759092
Alternative polyadenylation (APA) modulates mRNA processing in the 3'-untranslated regions (3' UTR), affecting mRNA stability and translation efficiency. Research into genetically regulated APA has the potential to provide insights into...
4.
Choi J, Park K, Kim Y, Sa J, Sung H, Chen Y, et al.
Cancer Epidemiol Biomarkers Prev
. 2024 Feb;
33(5):712-720.
PMID: 38393316
Background: Microsatellite instability (MSI) and tumor mutational burden (TMB) are predictive biomarkers for pan-cancer immunotherapy. The interrelationship between MSI-high (MSI-H) and TMB-high (TMB-H) in human cancers and their predictive value...
5.
Wang D, Perera D, He J, Cao C, Kossinna P, Li Q, et al.
PLoS Genet
. 2023 Dec;
19(12):e1011074.
PMID: 38109434
Linkage disequilibrium (LD) is a fundamental concept in genetics; critical for studying genetic associations and molecular evolution. However, LD measurements are only reliable for common genetic variants, leaving low-frequency variants...
6.
He J, Li Q, Zhang Q
Genetics
. 2023 Nov;
226(2).
PMID: 38001381
Toward the identification of genetic basis of complex traits, transcriptome-wide association study (TWAS) is successful in integrating transcriptome data. However, TWAS is only applicable for common variants, excluding rare variants...
7.
Guo X, Ping J, Yang Y, Su X, Shu X, Wen W, et al.
medRxiv
. 2023 Nov;
PMID: 37986797
Alternative polyadenylation (APA) modulates mRNA processing in the 3' untranslated regions (3'UTR), which affect mRNA stability and translation efficiency. Here, we build genetic models to predict APA levels in multiple...
8.
Li Q, Yu Y, Kossinna P, Lun T, Liao W, Zhang Q
PLoS Comput Biol
. 2023 Oct;
19(10):e1011476.
PMID: 37782668
Machine Learning models have been frequently used in transcriptome analyses. Particularly, Representation Learning (RL), e.g., autoencoders, are effective in learning critical representations in noisy data. However, learned representations, e.g., the...
9.
Shao M, Zhang Z, Sun H, He J, Wang J, Zhang Q, et al.
Front Genet
. 2023 Sep;
14:1287673.
PMID: 37766879
No abstract available.
10.
Zhang Q, Bhatia M, Park T, Ott J
Front Genet
. 2023 Sep;
14:1222517.
PMID: 37693313
To locate disease-causing DNA variants on the human gene map, the customary approach has been to carry out a genome-wide association study for one variant after another by testing for...