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Frontiers in Genetics|October 26, 2026
Cross-lineage anomaly detection of microRNA expression: a framework for deriving exploratory candidate biomarkers in sarcomaMritunjoy Dey, Piotr Remiszewski, Ewelina Perdas, et al.Frontiers in Genetics|October 28, 2026
GERBase: an online tool for high-resolution HLA allele and haplotype frequencies and linkage disequilibrium analysis in a Brazilian populationJose Samuel da Silva, Gustavo Vinicius Alves, Joao Henrique Coelho Campos, et al.Frontiers in Genetics|October 28, 2026
Case Report: Prenatal diagnosis of congenital knee dislocation caused by BICD2 gene variantXiaohua Ge, Wencong Li, Hong Wei, et al.Frontiers in Genetics|October 27, 2026
Linking systemic inflammation nutrition status to the tumor immune microenvironment: integrated biomarkers of neoadjuvant response in locally advanced rectal cancerLicong Shao, Jianting Xu, Xudong Wu, et al.Frontiers in Genetics|November 2, 2026
Recent achievements of the National Center Biobank Network (NCBN) bioresources through Japanese fiscal year 2025Yosuke Omae, Katsushi TokunagaFrontiers in Genetics|November 3, 2026
Recurrent CNVs in constitutional CMA: a ClinGen-anchored single-center postnatal and prenatal experienceNihan Bilge Satkın, Engin Atlı, Sinem Yalcintepe, et al.Frontiers in Genetics|November 3, 2026
A P2RX2 exon-2 complex indel disrupts splicing and reduces P2X2 output: implications for DFNA41 and variable expressivityYilun Tao, Wenxia Song, Lihong Wang, et al.Frontiers in Genetics|October 30, 2026
Causal associations between gut microbiota and autism spectrum disorder and attention-deficit/hyperactivity disorder: a two-sample mendelian randomization studyShangyun Shi, Ancha Baranova, Hongbao Cao, et al.Frontiers in Genetics|October 31, 2026
Clinically relevant chromosomal abnormalities and chromosomal polymorphisms in 7,530 patients undergoing reproductive genetic counseling: a retrospective cytogenetic study in a Chinese Han populationSonghang Wu, Hongyan Shang, Wenhua Wang, et al.Frontiers in Genetics|November 3, 2026
Deep learning-based genetic disease prediction with Monte Carlo (MC) dropout uncertainty estimation: a comparative study with classical machine learning baselinesV S Keerthana, Tarak HussainPageof 1,604