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Method: Autoencoders for genomic variation analysis
- Margarita Geleta,
- Daniel Mas Montserrat,
- Xavier Giro-i-Nieto,
- and Alexander G. Ioannidis
Genome Res. February 2026 36: 348-360; Published in Advance January 20, 2026, doi:10.1101/gr.280086.124
...are needed in order to properly capture the genetic composition of populations. Here, we explore deep learning techniques, namely, variational autoencoders (VAEs), to process genomic data from a population perspective. We show the power of VAEs for a variety of tasks relating to the interpretation...
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Research: Common cis-regulatory variation modifies the penetrance of pathogenic SHROOM3 variants in craniofacial microsomia
- Hao Zhu,
- Jiao Zhang,
- Soumya Rao,
- Matthew D. Durbin,
- Ying Li,
- Ruirui Lang,
- Jiqiang Liu,
- Baichuan Xiao,
- Hailin Shan,
- Ziqiu Meng,
- Jinmo Wang,
- Xiaokai Tang,
- Zhenni Shi,
- Liza L. Cox,
- Shouqin Zhao,
- Stephanie M. Ware,
- Tiong Y. Tan,
- Michelle de Silva,
- Lyndon Gallacher,
- Ting Liu,
- Jie Mi,
- Changqing Zeng,
- Hou-Feng Zheng,
- Qingguo Zhang,
- Stylianos E. Antonarakis,
- Timothy C. Cox,
- and Yong-Biao Zhang
Genome Res. May 2025 35: 1065-1079; Published in Advance April 15, 2025, doi:10.1101/gr.280047.124
...as one of the genetic modifiers that influence the penetrance of pathogenic variants (Castel et al. 2018). These common variants, which modify gene expression in specific haplotype combinations with rare pathogenic alleles, “interact” with the latter, thereby modulating their penetrance (Emison et al...
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Method: Integration of transcriptomics and long-read genomics prioritizes structural variants in rare disease
- Tanner D. Jensen,
- Bohan Ni,
- Chloe M. Reuter,
- John E. Gorzynski,
- Sarah Fazal,
- Devon Bonner,
- Rachel A. Ungar,
- Pagé C. Goddard,
- Archana Raja,
- Euan A. Ashley,
- Jonathan A. Bernstein,
- Stephan Zuchner,
- Undiagnosed Diseases Network,
- Michael D. Greicius,
- Stephen B. Montgomery,
- Michael C. Schatz,
- Matthew T. Wheeler,
- and Alexis Battle
Genome Res. April 2025 35: 914-928; Published in Advance March 20, 2025, doi:10.1101/gr.279323.124
.... Corresponding authors: smontgom@stanford.edu, mschatz@cs.jhu.edu, wheelerm@stanford.edu, ajbattle@jhu.eduAbstractRare structural variants (SVs)—insertions, deletions, and complex rearrangements—can cause Mendelian disease, yet they remain difficult to accurately detect and interpret. We sequenced and analyzed...
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Research: Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis
- Olga M. Sigalova,
- Mattia Forneris,
- Frosina Stojanovska,
- Bingqing Zhao,
- Rebecca R. Viales,
- Adam Rabinowitz,
- Fayrouz Hammal,
- Benoît Ballester,
- Judith B. Zaugg,
- and Eileen E.M. Furlong
Genome Res. May 2025 35: 1138-1153; Published in Advance April 15, 2025, doi:10.1101/gr.279652.124
...genetic variation impacts transcription factor (TF) binding remains a major challenge, limiting our ability to model disease-associated variants. Here, we used a highly controlled system of F1 crosses with extensive genetic diversity to profile allele-specific binding of four TFs at several time points...
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Method: Read-level genotyping of short tandem repeats using long reads and single-nucleotide variation with STRkit
- David R. Lougheed,
- Tomi Pastinen,
- and Guillaume Bourque
Genome Res. March 2026 36: 578-588; Published in Advance January 15, 2026, doi:10.1101/gr.280766.125
...-causing STR expansions may be required to fully quantify their relationship with phenotype (Rajan-Babu et al. 2024).Other phenotypic relationships with STRs are not limited to a single locus: Autism is associated with a -wide increase in rare STR expansions (Trost et al. 2020) and small de novo STR mutations...
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Research: Optical genome mapping identifies rare structural variants in neural tube defects
- Nikhil S. Sahajpal,
- Jane Dean,
- Benjamin Hilton,
- Timothy Fee,
- Cindy Skinner,
- Alex Hastie,
- Barbara R. DuPont,
- Alka Chaubey,
- Michael J. Friez,
- and Roger E. Stevenson
Genome Res. April 2025 35: 798-809; Published in Advance March 19, 2025, doi:10.1101/gr.279318.124
...Optical mapping identifies rare structural variants in neural tube defects Nikhil S. Sahajpal1, Jane Dean1, Benjamin Hilton1, Timothy Fee1, Cindy Skinner1, Alex Hastie2, Barbara R. DuPont1, Alka Chaubey2, Michael J. Friez1 and Roger E. Stevenson1,3 1Greenwood Genetic Center, Greenwood, South...
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Method: BayesRVAT enhances rare-variant association testing through Bayesian aggregation of functional annotations
- Antonio Nappi,
- Liubov Shilova,
- Theofanis Karaletsos,
- Na Cai,
- and Francesco Paolo Casale
Genome Res. December 2025 35: 2682-2690; Published in Advance October 24, 2025, doi:10.1101/gr.280689.125
...of thousands of phenotypes in 394,841 UK Biobank exomes. Cell Genomics 2: 100168. doi:10.1016/j.xgen.2022.100168 ↵Kim YJ, Moon S, Hwang MY, Han S, Jang H-M, Kong J, Shin DM, Yoon K, Kim SM, Lee J-E, et al. 2022. The contribution of common and rare genetic variants to variation in metabolic traits in 288...
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Perspective: Functional assays in Drosophila facilitate classification of variants of uncertain significance associated with rare diseases
- Jung-Wan Mok,
- Shelley B. Gibson,
- Haley A. Dostalik,
- and Shinya Yamamoto
Genome Res. July 2025 35: 1473-1484; Published in Advance June 4, 2025, doi:10.1101/gr.278291.123
...with rare diseases often undergo a frustrating and expensive diagnostic odyssey. Clinical geneticists who analyze exome or sequencing data from rare disease patients often encounter a list of variants of uncertain significance (VUS) in known disease-causing genes or rare variants in genes of uncertain...
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Resource: The SynMall resource for characterizing the functional impact of synonymous variation
- Chen Ye,
- Xiaoyan Li,
- Na Cheng,
- Yansen Su,
- and Junfeng Xia
Genome Res. February 2026 36: 421-431; Published in Advance December 17, 2025, doi:10.1101/gr.281257.125
...of functional scores and conservation information (Supplemental Fig. S1D), as well as additional features rarely included in previous tools, such as primate AFs and superenhancers, which also demonstrate notable importance. Although the CADD functional score exhibits the highest feature importance, removing...
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Research: Genetic variation in recalcitrant repetitive regions of the Drosophila melanogaster genome
- Harsh G. Shukla,
- Mahul Chakraborty,
- and J.J. Emerson
Genome Res. September 2025 35: 2023-2040; Published in Advance July 16, 2025, doi:10.1101/gr.280728.125
...to it. The relative ratio of the depth of the histone contig (one unit) versus the depth of any single copy region should approximate the total number of histone units present in the . Such an estimate would be a lower bound because only one unit is present, and any variation between units could lead...
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