https://www.frontiersin.org/journals/genetics RSS Feed for Frontiers in Genetics | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-10-19T02:51:34.509+00:00 60 https://www.frontiersin.org/articles/10.3389/fgene.2026.1910504 https://www.frontiersin.org/articles/10.3389/fgene.2026.1910504 2026-10-19T00:00:00Z Review Yosuke OmaeKatsushi Tokunaga https://www.frontiersin.org/articles/10.3389/fgene.2026.1900040 https://www.frontiersin.org/articles/10.3389/fgene.2026.1900040 2026-10-16T00:00:00Z Original Research Weili YiLi QinDongning HuangFang Wu 10. Inverse variance weighting (IVW) was the primary estimator; Benjamini–Hochberg false discovery rate (BH-FDR) correction was applied across 119 genera. Sensitivity analyses included MR-Egger, weighted median, mode-based methods, heterogeneity, pleiotropy and leave-one-out analyses. NaB, used as a representative microbial metabolite rather than a taxon-specific product, was evaluated at 1 mM for 24 h in tumor-conditioned medium (TCM) experiments.ResultsSix genera showed nominal inverse IVW associations with NSCLC risk (P = 0.0120–0.0498): Alistipes, Methanobrevibacter, Bacteroides, Ruminococcus gauvreauii group, Ruminococcus 1 and Peptococcus. None survived BH-FDR correction (q = 0.6072–0.9819). Sensitivity tests did not detect heterogeneity or directional pleiotropy for these genera, but alternative estimators and leave-one-out analyses did not consistently retain nominal significance. In THP-1-derived macrophages, NaB treatment altered polarization-associated transcripts, reduced the TCM-associated CCK-8 signal and increased acetylated histone H3 (Ac-H3) relative to TCM alone.ConclusionThe MR analysis identifies six suggestive microbial associations with NSCLC risk that require independent replication. Complementary NaB experiments show changes in macrophage-associated transcripts, metabolic viability and histone acetylation, providing a basis for further study of microbial metabolites in the tumor microenvironment.]]> https://www.frontiersin.org/articles/10.3389/fgene.2026.1927885 https://www.frontiersin.org/articles/10.3389/fgene.2026.1927885 2026-10-16T00:00:00Z Original Research Zhiwen ZhouZhijun Li https://www.frontiersin.org/articles/10.3389/fgene.2026.1972696 https://www.frontiersin.org/articles/10.3389/fgene.2026.1972696 2026-10-16T00:00:00Z Brief Research Report Shangyun ShiAncha BaranovaHongbao CaoFuquan Zhang https://www.frontiersin.org/articles/10.3389/fgene.2026.1899397 https://www.frontiersin.org/articles/10.3389/fgene.2026.1899397 2026-10-16T00:00:00Z Original Research Xiaohua LiuHongfei DuLinyan ZhangYang YuGuixiang WangXing HeHuacui HuangYing Xu G, and was not detected in the IthaGenes, HbVar, dbSNP, Pubmed, and HGMD databases.ConclusionThe genotype distribution of thalassemia in a general hospital in Chengdu is complex and heterogeneous. The novel HBA1 variant was identified in a patient with severe anemia; however, its functional impact and clinical significance require further investigation.]]> https://www.frontiersin.org/articles/10.3389/fgene.2026.1904219 https://www.frontiersin.org/articles/10.3389/fgene.2026.1904219 2026-10-16T00:00:00Z Case Report Mohammad Ameen IshqairAbbas K. H. MasalmaMohanad SalehFawaz AwadAliaa KhaliliAnas Ameen IshqairSomaya SalahAbed-Rahman N. Saleh A; p.Gly437Arg), establishing a diagnosis within the SLC29A3-related disorder spectrum. This case is unique due to its adult presentation, the exceptional severity of the humoral immunodeficiency, and the associated renal manifestations, which are infrequently reported in this spectrum.ConclusionThis report underscores the importance of considering SLC29A3-related disorder spectrum in adults with multisystem disease. Recognition of this spectrum enables targeted multidisciplinary care, including immunoglobulin replacement therapy and anticipatory surveillance for endocrine and renal complications.]]> https://www.frontiersin.org/articles/10.3389/fgene.2026.1947419 https://www.frontiersin.org/articles/10.3389/fgene.2026.1947419 2026-10-16T00:00:00Z Original Research Songhang WuHongyan ShangWenhua WangDan ChenWennan Wu https://www.frontiersin.org/articles/10.3389/fgene.2026.1953975 https://www.frontiersin.org/articles/10.3389/fgene.2026.1953975 2026-10-16T00:00:00Z Perspective Aisha SallahSalma TarmounKrishna GajjarPatience YeboahBernard AbakahEverlyne MutuaDimitris Boufidis https://www.frontiersin.org/articles/10.3389/fgene.2026.1935109 https://www.frontiersin.org/articles/10.3389/fgene.2026.1935109 2026-10-15T00:00:00Z Case Report Dandan LiJie HuJi WuXuna Bian https://www.frontiersin.org/articles/10.3389/fgene.2026.2000967 https://www.frontiersin.org/articles/10.3389/fgene.2026.2000967 2026-10-15T00:00:00Z Editorial Shazia Ruybal-PesántezJohanna H. KattenbergAnita GhansahSarah Auburn https://www.frontiersin.org/articles/10.3389/fgene.2026.1812905 https://www.frontiersin.org/articles/10.3389/fgene.2026.1812905 2026-10-14T00:00:00Z Original Research Tristan St-LaurentJulien St-PierreJulien Quang Le VanMarc-André Legault https://www.frontiersin.org/articles/10.3389/fgene.2026.1998945 https://www.frontiersin.org/articles/10.3389/fgene.2026.1998945 2026-10-14T00:00:00Z Correction Yanhui YangMeng GaoSongchun LiuQiong Yang https://www.frontiersin.org/articles/10.3389/fgene.2026.1894027 https://www.frontiersin.org/articles/10.3389/fgene.2026.1894027 2026-10-14T00:00:00Z Original Research Neng ZhangChunyu WangRui WangXue GuoJing YuJie WangQin LuoYun Wu https://www.frontiersin.org/articles/10.3389/fgene.2026.1904151 https://www.frontiersin.org/articles/10.3389/fgene.2026.1904151 2026-10-14T00:00:00Z Original Research Peng ZhouYanna LiuCaixia LeiFanyi ZengJing-bin Yan https://www.frontiersin.org/articles/10.3389/fgene.2026.1967034 https://www.frontiersin.org/articles/10.3389/fgene.2026.1967034 2026-10-14T00:00:00Z Original Research Lu-lu XinJin-jin GuoXin-ying ZhengZhao-yang Li https://www.frontiersin.org/articles/10.3389/fgene.2026.1944709 https://www.frontiersin.org/articles/10.3389/fgene.2026.1944709 2026-10-14T00:00:00Z Hypothesis and Theory Manyata SrivastavaShishir SinghDiksha AmetaAesha SinghMonisha BanerjeeAtar Singh Kushwah https://www.frontiersin.org/articles/10.3389/fgene.2026.1952672 https://www.frontiersin.org/articles/10.3389/fgene.2026.1952672 2026-10-14T00:00:00Z Review Stanislav BirkoMa’n H. Zawati https://www.frontiersin.org/articles/10.3389/fgene.2026.1973772 https://www.frontiersin.org/articles/10.3389/fgene.2026.1973772 2026-10-14T00:00:00Z Original Research Jose Samuel da SilvaGustavo Vinicius AlvesJoao Henrique Coelho CamposGisele Fabianne RampimAlberto Cardoso Martins LimaMaria Gerbase-DeLimaRenato de Marco https://www.frontiersin.org/articles/10.3389/fgene.2026.1916595 https://www.frontiersin.org/articles/10.3389/fgene.2026.1916595 2026-10-14T00:00:00Z Original Research Yalan MaoRan LiBin LiHongfen Pan https://www.frontiersin.org/articles/10.3389/fgene.2026.1938741 https://www.frontiersin.org/articles/10.3389/fgene.2026.1938741 2026-10-14T00:00:00Z Case Report Xiaohua GeWencong LiHong WeiMeijuan Liu G (p.Tyr538Cys) in the BICD2 gene in the fetus, which was classified as likely pathogenic (PS2+PM2) according to American College of Medical Genetics and Genomics (ACMG) criteria. This variant is associated with autosomal dominant spinal muscular atrophy with lower extremity predominance type 2 (SMALED2). The prenatal ultrasound diagnosis was confirmed by autopsy after termination of pregnancy. This case expands the prenatal phenotypic spectrum of BICD2-related disorders by detailing the ultrasound features of CDK, highlights the diagnostic value of exome sequencing when fetal anomalies are detected prenatally, and is of great significance for the diagnosis of fetal congenital anomalies and the formulation of clinical management plans.]]>