Equivalence of variance components between standard and recursive genetic models using LDL′ transformations by Luis Varona, David López-Carbonell, Houssemeddine Srihi, Carlos Hervás-Rivero, Óscar González-Recio, Juan Altarriba

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Rate of double reduction and genetic variability in yield, quality, and senescence related traits in tetraploid potato (Solanum tuberosum L.) by Muhammad Farhan Yousaf, Muhammad Farhan Yousaf, Vipin Tomar, Hélène Romé, Merethe Bagge, Mathias Timmermann, Thinh Tuan Chu, Just Jensen

“…Pedigree information was used in quantitative genetic models to estimate additive genetic variance and the relative importance of additive and non-additive genetic variance. …”
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Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs by Andre C. Araujo, Jay S. Johnson, Jason R. Graham, Jeremy Howard, Yijian Huang, Hinayah R. Oliveira, Luiz F. Brito

“…Therefore, we aimed to estimate transgenerational epigenetic heritability, percentage of resetting epigenetic marks, genetic parameters, and predicting breeding values using genetic and epigenetic models for growth, body composition, and reproductive traits in Landrace pigs using routinely recorded datasets. …”
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BIGFAM - variance components analysis from relatives without genotype by Jaeeun Jerry Lee, Buhm Han

“…These results establish a new approach for analyzing variance components across diverse populations without the need for genetic data.…”
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On the genetic interpretation of disease data. by Stephen C Bishop, John A Woolliams

“…Our focus is on variance component estimation and we introduce epidemiological concepts to quantitative genetics.…”
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An mRNA expression atlas for the duck with public RNA-seq datasets by Qiuyu Tao, Anqi Huang, Jingjing Qi, Zhao Yang, Shihao Guo, Yinjuan Lu, Xinxin He, Xu Han, Shuaixue Jiang, Mengru Xu, Yuan Bai, Tao Zhang, Shenqiang Hu, Liang Li, Lili Bai, HeHe Liu

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Genetic control of sweetness and acidity in blackberry by Carly Godwin, T. Mason Chizk, Carmen Johns, Lacy Nelson, Renee Threlfall, John R. Clark, Margaret L. Worthington

“…The genotypic and phenotypic datasets reported in this study can be used to develop diagnostic molecular markers and train genomic selection models to expedite selection of new blackberry cultivars with enhanced sweetness and reduced acidity.…”
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Diverse ancestral representation improves genetic intolerance metrics by Alexander L. Han, Chloe F. Sands, Dorota Matelska, Jessica C. Butts, Vida Ravanmehr, Fengyuan Hu, Esmeralda Villavicencio Gonzalez, Nicholas Katsanis, Carlos D. Bustamante, Quanli Wang, Slavé Petrovski, Dimitrios Vitsios, Ryan S. Dhindsa

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Genetic parameters and parental and early-life effects of boar semen traits by Pedro Sá, Rodrigo M. Godinho, Marta Gòdia, Claudia A. Sevillano, Barbara Harlizius, Ole Madsen, Henk Bovenhuis

“…Abstract Background The objectives of this study were to estimate genetic parameters and studying the influence of early-life and parental factors on the semen traits of boars. …”
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Air Pollution and Oral Health: An Overall Insight From Genetic Causality by Ziyang Zheng, Mingzhang Xu, Yifei Wang, Lan Wang, Yang Zhou, Yunyi Deng, Ke Yu

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Association between keloid and mental disorders: perspective from genetic evidence by Ying Zhan, Yanan Tong, Xiaodan Wu, Zhiguo Wang, Guoxu Zhang

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Identifying selected regions from heterozygosity and divergence using a light-coverage genomic dataset from two human populations. by Taras K Oleksyk, Kai Zhao, Francisco M De La Vega, Dennis A Gilbert, Stephen J O'Brien, Michael W Smith

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Bidirectional Mendelian Randomization Study Identifies No Genetic Link Between Psoriasis and Diabetes by Jing Li, Min Li, Shoufang Kong, Chunmei Zhong, Danting Sun, Lili Zhang

“…We obtained summary statistics of genome-wide association analyses for Type 1 diabetes mellitus (T1DM), Type 2 diabetes mellitus (T2DM), and Ps from individuals of European ancestry by accessing the UK Biobank and FinnGen datasets. Inverse-variance weighted (IVW) method was utilized as the primary method. …”
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Genetic Insights Into the Link Between Restless Legs Syndrome and Diabetic Nephropathy Risk by Yun Lin, Xiaorui Cai, Haohao Chen, Xiaoling Tang

“…Primary analysis used the inverse‐variance weighted (IVW) method, with IVW radial and robust adjusted profile score (RAPS) as supplementary methods. …”
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Maize breeding trial dataset supporting yield increase in multiple managed and non-managed environments with increasing vapor pressure deficitZenodo by Vlatko Galić, Andrija Brkić, Zvonimir Zdunić, Domagoj Šimić, Miroslav Salaić, Ersan Atakul, Ülkü Er, Antun Jambrović

“…Collected over an 11-year period (2009–2019) in Croatia and Turkey, the data include detailed agronomic performance metrics—grain yield, phenological stages, and environmental descriptors—across a range of irrigation regimes and temperature-humidity combinations. The dataset comprises more than 2900 plot-level observations, capturing genetic variance, genotype-by-environment interaction, and yield responses to increasing VPD. …”
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Multi-Objective Portfolio Optimization: An Application of the Non-Dominated Sorting Genetic Algorithm III by John Weirstrass Muteba Mwamba, Leon Mishindo Mbucici, Jules Clement Mba

“…This study evaluates the effectiveness of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) in comparison to the traditional Mean–Variance optimization method for financial portfolio management. …”
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Genetic control of canine leishmaniasis: genome-wide association study and genomic selection analysis. by Javier Quilez, Verónica Martínez, John A Woolliams, Armand Sanchez, Ricardo Pong-Wong, Lorna J Kennedy, Rupert J Quinnell, William E R Ollier, Xavier Roura, Lluís Ferrer, Laura Altet, Olga Francino

“…Firstly, we aimed to identify individual disease loci; secondly, we quantified the genetic component of the observed phenotypic variance; and thirdly, we tested whether genome-wide SNP data could accurately predict the disease.…”
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Genetic analysis of daily milk weights in US Holsteins using pen-based contemporary groups by Fiona L. Guinan, Robert H. Fourdraine, Francisco Peñagaricano, Kent A. Weigel

“…The additive genetic variance ranged from 10.48 (0.60) to 24.12 (0.66), herd-year-season variance was 10.34 (0.40), herd-pen-milking date variance ranged from 4.91 (0.02) to 4.96 (0.02), permanent environmental variance ranged from 10.65 (0.44) to 16.94 (0.30), and residual variance ranged from 11.81 (0.01) to 14.60 (0.01). …”
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Genetic diversity and agro-morphological characterization of cassava varieties provides insight for breeding and crop improvement by Shamal Shasang Kumar, Shalendra Prasad, Owais Ali Wani, Salah El-Hendawy, Mohamed A. Mattar, Ali Salem

“…In both the qualitative and quantitative trait datasets, two principal components were found to account for 36.31% and 43.45% of the total genetic variance, respectively. …”
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Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

“…The primary Inverse-variance weighted, accompanied by robust sensitivity analysis, was implemented to explore and verify our findings. …”
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