The integration of quantitative trait locus mapping and transcriptome studies reveals candidate genes for water stress response in St. Augustinegrass by Greta B.G. Rockstad, Xingwang Yu, Gabriel de Siqueira Gesteira, Susmita Gaire, Allison N. Dickey, Beatriz T. Gouveia, Ashley N. Schoonmaker, Amanda M. Hulse-Kemp, Susana R. Milla-Lewis

“…Breeding efforts have focused on breeding for drought resistance, and several drought-related quantitative trait loci (QTL) have been identified for St. …”
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Multi-dimensional annotation of porcine variants using genomic and epigenomic features in pigs by Hongwei Yin, Liu Yang, Qianyi Zhao, Wenye Yao, Jinyan Teng, Yahui Gao, Zhiting Xu, Qing Lin, Shuqi Diao, Xiaohong Liu, Fuping Zhao, Zhongyin Zhou, Qishan Wang, Jiaqi Li, Zhe Zhang, Huaijun Zhou, Martien A. M. Groenen, Ole Madsen, Lijing Bai, Dailu Guan, Lingzhao Fang, Kui Li

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Cross-tissue transcriptome-wide analysis reveals novel insights into thyroid cancer etiology by Yue Zhu, Yu Luo, Yuye Zhang, Yixuan Wang, Zhangqi Gu, Jinyan Liu, Ancheng Qin, Weifeng Qian

“…Colocalization analysis further revealed that TGFB2 (rs1764705), SMAD3 (rs17293632), and SDCCAG8 (rs2490395) may share genetic signals between GWAS and expression quantitative trait loci (eQTL), indicating common pathways in TC pathogenesis. …”
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Mapping QTLs Affecting Economic Traits on BTA3 in Chinese Holstein with Microsatellite Markers by Chun-hua QIN, Qin CHU, Gui-yan CHU, Yi ZHANG, Qin ZHANG, Sheng-li ZHANG, Dong-xiao SUN

“…It had been demonstrated that the strong and highly significant quantitative trait locus (QTL) can affect protein percentage on Bos Taurus Autosome 3 (BTA3) at the position 52 cM, near the microsatellite DIK4353, with the 95% confidence interval spanning from 25 to 57 cM in Chinese Holstein population using QTL-express, MQREML, and GRIDQTL softwares. …”
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Romové očima pedagogů základních a středních škol by Martina Cichá, Jana Máčalová, Blanka Moravcová, Andrea Preissová Krejčí, Michal Prokeš, Michaela Roubínková

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Polymorphisms in cathepsin b is associated with growth in Asian seabass by Shadame Yeo, Joey Wong, Y.X. Tay, Zituo Yang, Le Wang, Fei Sun, May Lee, Yanfei Wen, Gen Hua Yue

“…We analysed the full-length cDNA of ctsb and mapped it to the major quantitative trait locus (QTL) for growth on linkage group 2 in L. calcarifer. …”
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Deciphering antigen-specific T cell navigation tactics and cancer immune evasion in co-cultures by Xinyue Li, Taoli Jin, Lisha Wang, Senbin Wu, Yerong Liu, Ming Li, Weijing Han, Xuefei Li

“…Furthermore, post-interaction, a cancer-cell subpopulation displays immunosuppressive traits, reducing T cell attractant expression, and undergoing epithelial-to-mesenchymal transition. …”
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3D genomic features across >50 diverse cell types reveal insights into the genomic architecture of childhood obesity by Khanh B Trang, Matthew C Pahl, James A Pippin, Chun Su, Sheridan H Littleton, Prabhat Sharma, Nikhil N Kulkarni, Louis R Ghanem, Natalie A Terry, Joan M O'Brien, Yadav Wagley, Kurt D Hankenson, Ashley Jermusyk, Jason Hoskins, Laufey T Amundadottir, Mai Xu, Kevin Brown, Stewart Anderson, Wenli Yang, Paul Titchenell, Patrick Seale, Klaus H Kaestner, Laura Cook, Megan Levings, Babette S Zemel, Alessandra Chesi, Andrew D Wells, Struan FA Grant

“…Interestingly, this observation was also supported through colocalization analysis using expression quantitative trait loci (eQTL) derived from the Genotype-Tissue Expression (GTEx) dataset, supporting an inflammatory and neurologic component to the pathogenesis of childhood obesity. …”
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Deciphering the role of acetylation-related gene NAT10 in colon cancer progression and immune evasion: implications for overcoming drug resistance by Xuancheng Zhou, Xun Sang, Lai Jiang, Shengke Zhang, Chenglu Jiang, Yuheng Gu, Yipin Fu, Guanhu Yang, Jieyin Zhang, Hao Chi, Binbin Wang, Xiaolin Zhong

“…In the MR analysis, a significant positive correlation was observed between NAT10 and colorectal cancer risk using summary data from genome-wide association studies (GWAS) and expression quantitative trait loci (eQTL) studies (β_SMR = 0.004, p_SMR = 0.041, p_HEIDI = 0.737). …”
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Association studies for leaf rust resistance earmark differential genomic regions for silicon (Si) responsiveness in bread wheat (Triticum aestivum L.) by Prashanth Babu, Manjunath Prasad, R. Nirmalaruban, Sudhir Kumar, Rajbir Yadav, Manjeet Kumar, Kiran B. Gaikwad, Naresh Kumar Bainsla, S. Bhaskar Reddy, Nasreen Saifi, Amit Kumar Mazumder, Meda Alekya, Gaurav Kaushik, Palaparthi Dharamteja, Meghashri S. Patil, Shiv Kumar Singh, Dunna Vijay, Ranjeet Ranjan Kumar

“…A diverse wheat genotype panel, coupled with multi-year data, was utilized to perform genome-wide association studies (GWAS) to identify quantitative trait loci (QTLs) associated with Si response. …”
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