Bioscience Evidence 2026, Vol.16, No.3, 186-201 http://bioscipublisher.com/index.php/be 201 Gerber Z., Fisun M., Aschard H., and Djebali S., 2023, PaintorPipe: A pipeline for genetic variant fine-mapping using functional annotations, Bioinformatics Advances, 4: vbad188. https://doi.org/10.1093/bioadv/vbad188 Giambartolomei C., Vukcevic D., Schadt E.E., Franke L., Hingorani A. D., Wallace C., and Plagnol V., 2013, Bayesian test for colocalisation between pairs of genetic association studies using summary statistics, PLoS Genetics, 10(5): e1004383. https://doi.org/10.1371/journal.pgen.1004383 Hormozdiari F., Kostem E., Kang E. Y., Pasaniuc B., and Eskin E., 2016, Identifying causal variants at loci with multiple signals of association, Genetics, 198(2): 497-508. https://doi.org/10.1534/genetics.114.167908 Hutchinson A., Watson H., and Wallace C., 2019, Correcting the coverage of credible sets in Bayesian genetic fine-mapping, bioRxiv, 781062. https://doi.org/10.32614/CRAN.package.corrcoverage Hutchinson A., Watson H., and Wallace C., 2020, Improving the coverage of credible sets in Bayesian genetic fine-mapping, PLoS Computational Biology, 16(4): e1007829. https://doi.org/10.1371/journal.pcbi.1007829 Kichaev G., Yang W., Lindstrom S., Hormozdiari F., Eskin E., Price A. L., Kraft P., and Pasaniuc B., 2014, Integrating functional data to prioritize causal variants in statistical fine-mapping studies, PLoS Genetics, 10(10): e1004722. https://doi.org/10.1371/journal.pgen.1004722 Lapierre N., Taraszka K., Huang H., He R., Hormozdiari F., and Eskin E., 2020, Identifying causal variants by fine mapping across multiple studies, PLoS Genetics, 17(4): e1009733. https://doi.org/10.1371/journal.pgen.1009733 Okamoto K., Schmitz R. J., and Shinozaki K., 2023, Multi-omic integration for functional genomics in plant and human GWAS, Nature Reviews Genetics, 24(1): 30-44. Schaid D. J., Chen W., and Larson N. B., 2018, From genome-wide associations to candidate causal variants by statistical fine-mapping, Nature Reviews Genetics, 19(8): 491-504. https://doi.org/10.1038/s41576-018-0016-z Shrestha M., Bai Z., Gholipourshahraki T., Hjelholt A., Hu S., Kjølby M., Rohde P., and Sørensen P., 2024, Evaluation of Bayesian linear regression models as a fine mapping tool, bioRxiv. https://doi.org/10.1101/2023.09.01.555889 Spain S. L., and Barrett J. C., 2015, Strategies for fine-mapping complex traits, Human Molecular Genetics, 24(R1): R111-R119. https://doi.org/10.1093/hmg/ddv260 Talukdar G., Orr H.T., and Lei Z.X., 2023, The PERK pathway: beneficial or detrimental for neurodegenerative diseases and tumor growth and cancer, Human Molecular Genetics, 32(16): 2545-2557. https://doi.org/10.1093/hmg/ddad103 Zou Y., Carbonetto P., Wang G., and Stephens M., 2021, Fine-mapping from summary data with the "Sum of Single Effects" model, PLoS Genetics, 18(7): e1010299. https://doi.org/10.1371/journal.pgen.1010299
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