Li Q - Search Results

1

rvTWAS: identifying gene-trait association using sequences by utilizing transcriptome-directed feature selection.

He J, Li Q, Zhang Q. He J, et al. Among authors: li q. Genetics. 2024 Feb 7;226(2):iyad204. doi: 10.1093/genetics/iyad204. Genetics. 2024. PMID: 38001381

2

Power analysis of transcriptome-wide association study: Implications for practical protocol choice.

Cao C, Ding B, Li Q, Kwok D, Wu J, Long Q. Cao C, et al. Among authors: li q. PLoS Genet. 2021 Feb 26;17(2):e1009405. doi: 10.1371/journal.pgen.1009405. eCollection 2021 Feb. PLoS Genet. 2021. PMID: 33635859 Free PMC article.

3

Disentangling genetic feature selection and aggregation in transcriptome-wide association studies.

Cao C, Kossinna P, Kwok D, Li Q, He J, Su L, Guo X, Zhang Q, Long Q. Cao C, et al. Among authors: li q. Genetics. 2022 Feb 4;220(2):iyab216. doi: 10.1093/genetics/iyab216. Genetics. 2022. PMID: 34849857 Free PMC article.

4

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes.

Li Q, Yu Y, Kossinna P, Lun T, Liao W, Zhang Q. Li Q, et al. PLoS Comput Biol. 2023 Oct 2;19(10):e1011476. doi: 10.1371/journal.pcbi.1011476. eCollection 2023 Oct. PLoS Comput Biol. 2023. PMID: 37782668 Free PMC article.

5

Enhancing Disease Risk Gene Discovery by Integrating Transcription Factor-Linked Trans-located Variants into Transcriptome-Wide Association Analyses.

He J, Perera D, Wen W, Ping J, Li Q, Lyu L, Chen Z, Shu X, Long J, Cai Q, Shu XO, Zheng W, Long Q, Guo X. He J, et al. Among authors: li q. medRxiv [Preprint]. 2024 Jul 7:2023.10.10.23295443. doi: 10.1101/2023.10.10.23295443. medRxiv. 2024. Update in: Nucleic Acids Res. 2024 Nov 13:gkae1035. doi: 10.1093/nar/gkae1035 PMID: 37873299 Free PMC article. Updated. Preprint.

6

cLD: Rare-variant linkage disequilibrium between genomic regions identifies novel genomic interactions.

Wang D, Perera D, He J, Cao C, Kossinna P, Li Q, Zhang W, Guo X, Platt A, Wu J, Zhang Q. Wang D, et al. Among authors: li q. PLoS Genet. 2023 Dec 18;19(12):e1011074. doi: 10.1371/journal.pgen.1011074. eCollection 2023 Dec. PLoS Genet. 2023. PMID: 38109434 Free PMC article.

7

A statistical method for image-mediated association studies discovers genes and pathways associated with four brain disorders.

He J, Antonyan L, Zhu H, Ardila K, Li Q, Enoma D, Zhang W, Liu A, Chekouo T, Cao B, MacDonald ME, Arnold PD, Long Q. He J, et al. Among authors: li q. Am J Hum Genet. 2024 Jan 4;111(1):48-69. doi: 10.1016/j.ajhg.2023.11.006. Epub 2023 Dec 19. Am J Hum Genet. 2024. PMID: 38118447 Free PMC article.

8

An expression-directed linear mixed model discovering low-effect genetic variants.

Li Q, Bian J, Qian Y, Kossinna P, Gau C, Gordon PMK, Zhou X, Guo X, Yan J, Wu J, Long Q. Li Q, et al. Genetics. 2024 Apr 3;226(4):iyae018. doi: 10.1093/genetics/iyae018. Genetics. 2024. PMID: 38314848 Free PMC article.

9

Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.

He J, Perera D, Wen W, Ping J, Li Q, Lyu L, Chen Z, Shu X, Long J, Cai Q, Shu XO, Yin Z, Zheng W, Long Q, Guo X. He J, et al. Among authors: li q. Nucleic Acids Res. 2024 Nov 13:gkae1035. doi: 10.1093/nar/gkae1035. Online ahead of print. Nucleic Acids Res. 2024. PMID: 39535029

10

kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.

Cao C, Kwok D, Edie S, Li Q, Ding B, Kossinna P, Campbell S, Wu J, Greenberg M, Long Q. Cao C, et al. Among authors: li q. Brief Bioinform. 2021 Jul 20;22(4):bbaa270. doi: 10.1093/bib/bbaa270. Brief Bioinform. 2021. PMID: 33200776

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