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For: Deng WQ, Mao S, Kalnapenkis A, Esko T, Mägi R, Paré G, Sun L. Analytical strategies to include the X-chromosome in variance heterogeneity analyses: Evidence for trait-specific polygenic variance structure. Genet Epidemiol 2019;43:815-30. [PMID: 31332826 DOI: 10.1002/gepi.22247] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
Number Citing Articles
1 Kong Y, Li S, Wang K, Zhu B, Yuan Y, Li M, Zhou J. An Efficient Bayesian Method for Estimating the Degree of the Skewness of X Chromosome Inactivation Based on the Mixture of General Pedigrees and Unrelated Females. Biomolecules 2023;13:543. [DOI: 10.3390/biom13030543] [Reference Citation Analysis]
2 Yang ZY, Liu W, Yuan YX, Kong YF, Zhao PZ, Fung WK, Zhou JY. Robust association tests for quantitative traits on the X chromosome. Heredity (Edinb) 2022. [PMID: 36085362 DOI: 10.1038/s41437-022-00560-y] [Reference Citation Analysis]
3 Keur N, Ricaño-Ponce I, Kumar V, Matzaraki V. A systematic review of analytical methods used in genetic association analysis of the X-chromosome. Brief Bioinform 2022:bbac287. [PMID: 35901513 DOI: 10.1093/bib/bbac287] [Reference Citation Analysis]
4 Yu WY, Zhang Y, Li MK, Yang ZY, Fung WK, Zhao PZ, Zhou JY. BEXCIS: Bayesian methods for estimating the degree of the skewness of X chromosome inactivation. BMC Bioinformatics 2022;23:193. [PMID: 35610583 DOI: 10.1186/s12859-022-04721-y] [Reference Citation Analysis]
5 Deng WQ, Sun L. gJLS2: an R package for generalized joint location and scale analysis in X-inclusive genome-wide association studies. G3 Genes|Genomes|Genetics 2022;12. [DOI: 10.1093/g3journal/jkac049] [Reference Citation Analysis]
6 Shobab L, Burman KD, Wartofsky L. Sex Differences in Differentiated Thyroid Cancer. Thyroid 2021. [PMID: 34969307 DOI: 10.1089/thy.2021.0361] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
7 Deng WQ, Sun L. gJLS2: An R package for generalized joint location and scale analysis in X-inclusive genome-wide association studies.. [DOI: 10.1101/2021.10.11.463951] [Reference Citation Analysis]
8 Chen B, Craiu RV, Strug LJ, Sun L. The X factor: A robust and powerful approach to X-chromosome-inclusive whole-genome association studies. Genet Epidemiol 2021. [PMID: 34224641 DOI: 10.1002/gepi.22422] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
9 Li BH, Yu WY, Zhou JY. A statistical measure for the skewness of X chromosome inactivation for quantitative traits and its application to the MCTFR data. BMC Genom Data 2021;22:24. [PMID: 34215184 DOI: 10.1186/s12863-021-00978-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
10 Mezlini AM, Das S, Goldenberg A. Finding associations in a heterogeneous setting: statistical test for aberration enrichment. Genome Med 2021;13:68. [PMID: 33892787 DOI: 10.1186/s13073-021-00864-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Mezlini AM, Das S, Goldenberg A. Finding associations in a heterogeneous setting: Statistical test for aberration enrichment.. [DOI: 10.1101/2020.03.23.002972] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]