Genetic Variations of Gene Associated with Adverse Drug Reactions to Valproic Acid in Korean Epileptic Patients by Ji Hyun Yi, Yang-Je Cho, Won-Joo Kim, Min Goo Lee, Ji Hyun Lee

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Genetic Biomarkers and Circulating White Blood Cells in Osteoarthritis: A Bioinformatics and Mendelian Randomization Analysis by Yimin Pan, Xiaoshun Sun, Jun Tan, Chao Deng, Changwu Wu, Georg Osterhoff, Nikolas Schopow

“…Four mendelian randomization (MR) methods were employed to investigate the genetic association, with a primary focus on findings from the inverse variance-weighted (IVW) method. …”
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Genetic diversity of broad beans (Vicia faba) in the collection of the Vavilov Institute and its use in breeding by S. M. Mamedova, M. A. Vishnyakova

“…Vavilov All-Russian Institute of Plant Genetic Resources (VIR), its composition, research trends, and significance for domestic breeding. …”
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Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms by Purushottam Singh, Prashant Pranav, Sandip Dutta

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Assessment of Genetic Variability for Yield and Yield-Contributing Traits in Groundnut (Arachis hypogaea L.) Genotypes by Abera Seboka Yami, Wosene Gebreselassie Abtew

“…The present study was conducted to evaluate the genetic variability of yield and yield-contributing traits in groundnut genotypes. …”
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Genetic potential of quality in spring bread wheat cultivars bred at Kurgan agricultural research institute by A. I. Abugalieva, L. T. Maltsevа, E. A. Filippova, A. I. Morgunov, Y. I. Zelensky, J. Peña

“….), grain quality is a prioritized genetic trait in spring bread wheat cultivars. In Kurgan Province, the share of thirdclass wheat varied since 1994 from 43% to 96%; only in the recent unfavorable years (2015 – 2017) it dropped to 11 – 27% due to rust epidemics. …”
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Insights Into Causal Effects of Genetically Proxied Lipids and Lipid‐Modifying Drug Targets on Cardiometabolic Diseases by Liwan Fu, Qin Liu, Hong Cheng, Xiaoyuan Zhao, Jingfan Xiong, Jie Mi

“…This study used Mendelian randomization to investigate the causal relationships and underlying mechanisms. Methods Genetic variants related to lipid profiles and targets for lipid modification were sourced from the Global Lipids Genetics Consortium. …”
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Genetic association study of TERT gene variants with chronic kidney disease susceptibility in the Chinese population by Yan Su, Yuan Feng, Xinran Lin, Chunyang Ma, Jiali Wei

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Response to: Comment on Genetic Ancestry-Specific Molecular and Survival Differences in Admixed Breast Cancer Patients by Alexandra E. Hernandez, MD, MPH, Brandon Mahal, MD, Aristeidis G. Telonis, PhD, Maria Figueroa, MD, Neha Goel, MD, MPH

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Causal Association Between Skin Microbiota and Malignant Melanoma: Genetic Insights From Mendelian Randomization by Li X, Wu S, Pan Y, Wu Z, Du Z, Xie W, Zhou Q

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Genetic markers and predictive model for individual differences in countermovement jump enhancement after resistance training by Tao Mei, Xiaoxia Li, Yanchun Li, Xiaolin Yang, Liang Li, Zihong He

“…This study aims to utilize Genome-Wide Association Analysis (GWAS) to identify genetic markers associated with enhanced power resulting from resistance training. …”
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Genetic ancestry concordant RNA splicing in prostate cancer involves oncogenic genes and associates with recurrence by Muthana Al Abo, Wen-Chi Foo, Lauren E. Howard, Shannon McGue, Bonnie Lacroix, Julie Kephart, Angela Clayton, Blair Thornburg, Monika Anand, Michael B. Rothberg, Shannon J. McCall, Jiaoti Huang, Thomas A. Esther, Judd W. Moul, Michael N. Ferrandino, Thomas J. Polascik, Cary N. Robertson, Brant A. Inman, Andrew J. Armstrong, Yuan Wu, Terry Hyslop, Daniel J. George, Steven R. Patierno, Jennifer A. Freedman

“…A number of the genetic ancestry-concordant ARSs associated with BCR; thus, genetic ancestry-concordant RNA splice variants may represent unique targets for PCa precision oncology.…”
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A Genetic Algorithm with Location Intelligence Method for Energy Optimization in 5G Wireless Networks by Ruchi Sachan, Tae Jong Choi, Chang Wook Ahn

“…The decision variables lent themselves to interesting implementation using several heuristic approaches, such as differential evolution (DE) algorithm and Real-coded Genetic Algorithm (RGA). The key contribution of this paper is that we modified RGA-based method to find the optimal configuration of BSs not only by just offering an optimal coverage of underutilized BSs but also by optimizing the amounts of power consumption. …”
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Retracted: Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Journal of Function Spaces

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A generalist vector-transmitted parasite exhibits population genetic structure among host genera by Vincenzo A. Ellis, Mélanie Duc, Arif Ciloglu, Olof Hellgren, Staffan Bensch

“…However, it is unclear if parasite transmission among host species precludes the establishment of host-specific adaptations and population genetic structure. We assessed the population genetic structure of the vector-transmitted avian haemosporidian parasite Haemoproteus majoris (lineage WW2; n = 34 infections) in a single site in southern Sweden among 10 of its host species. …”
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Colletotrichum: species, ecology and interactions by U. Damm, R. Baroncelli, L. Cai, Y. Kubo, R. O'Connell, B. Weir, K. Yoshino, P.F. Cannon

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An integrated microbiome- and metabolome-genome-wide association study reveals the role of heritable ruminal microbial carbohydrate metabolism in lactation performance in Holstein... by Chenguang Zhang, Huifeng Liu, Xingwei Jiang, Zhihong Zhang, Xinfeng Hou, Yue Wang, Dangdang Wang, Zongjun Li, Yangchun Cao, Shengru Wu, Sharon A. Huws, Junhu Yao

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Haplotype tagging efficiency and tagSNP sets portability in worldwide populations in NAT2 gene by Audrey Sabbagh, Pierre Darlu, André Langaney, Estella S. Poloni

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Unveiling the UNESCO Biosphere Reserve of the Berlengas Archipelago in Portugal as a Hotspot of Fish Species Using eDNA Metabarcoding and the Collaboration of Fishing Crews by Marco Simões, Cátia Costa, Maria da Luz Calado, Nuno Vasco-Rodrigues, Maria Jorge Campos, Sérgio Miguel Leandro, Agostinho Antunes

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The big challenge for livestock genomics is to make sequence data pay by Johnsson, Martin

Subjects: “…genomics, animal breeding, genomic prediction, whole-genome sequence, quantitative genetics…”
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