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Genome-Wide Association Studies Associated with Backfat Thickness in Landrace and Yorkshire Pigs: Young-Sup Lee, Donghyun Shin; Genomics Inform. 2018;16(3):59-64. Published online September 30, 2018; DOI: https://doi.org/10.5808/GI.2018.16.3.59
Cited By 16; Full text PubReader ePub PDF

Pathway Analysis of Metabolic Syndrome Using a Genome-Wide Association Study of Korea Associated Resource (KARE) Cohorts: Unjin Shim, Han-Na Kim, Yeon-Ah Sung, Hyung-Lae Kim; Genomics Inform. 2014;12(4):195-202. Published online December 31, 2014; DOI: https://doi.org/10.5808/GI.2014.12.4.195
Cited By 12; Full text PubReader ePub PDF

Impact of type 2 diabetes variants identified through genome-wide association studies in early-onset type 2 diabetes from South Indian population: Samuel Liju, Manickam Chidambaram, Viswanathan Mohan, Venkatesan Radha; Genomics Inform. 2020;18(3):e27. Published online September 9, 2020; DOI: https://doi.org/10.5808/GI.2020.18.3.e27
Cited By 7; Full text PubReader ePub PDF Supplementary Material

Bayesian bi-level variable selection for genome-wide survival study: Eunjee Lee, Joseph G. Ibrahim, Hongtu Zhu; Genomics Inform. 2023;21(3):e28. Published online June 28, 2023; DOI: https://doi.org/10.5808/gi.23047
Cited By 1; Full text PubReader ePub PDF Supplementary Material

Beta-Meta: a meta-analysis application considering heterogeneity among genome-wide association studies: Gyungbu Kim, Yoonsuk Lee, Jeong Ho Park, Dongmin Kim, Wonseok Lee; Genomics Inform. 2022;20(4):e49. Published online December 30, 2022; DOI: https://doi.org/10.5808/gi.22046; Full text PubReader ePub PDF Supplementary Material

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