Searching journal content for articles similar to Southard-Smith et al. 9 (3): 215.

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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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Method: High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map
- Sheila Lutz,
- Megan Lawler,
- Samuel Amidon,
- and Frank W Albert
Genome Res. March 23, 2026 gr.281514.125; Published in Advance March 23, 2026, doi:10.1101/gr.281514.125
...the identification of 58 individual genes and variants whose variation shapes complex phenotypes challenging. 59 The yeast Saccharomyces cerevisiae is a key model for the dissection of genetically complex 60 traits (Liti and Louis 2012). The uniformly high meiotic recombination rate along the 61 coupled...
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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
...Institute, Kansas City, Missouri 64108, USA; 4Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec H3A 0G1, Canada Corresponding authors: david.lougheed@mail.mcgill.ca, guil.bourque@mcgill.caAbstractVariation in short tandem repeats (STRs) is implicated in Mendelian...
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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
...annotation databases offer limited functional insights for sSNVs. Here, we present SynMall, a comprehensive resource designed to decipher the functional impact of synonymous variation. SynMall catalogs 25 million potential human sSNVs and integrates evolutionary and population information of sSNVs from 45...
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Research: Landscape of microRNA and target expression variation and covariation in single mouse embryonic stem cells
- Marcel Tarbier,
- Sebastian D. Mackowiak,
- Vaishnovi Sekar,
- Franziska Bonath,
- Etka Yapar,
- Bastian Fromm,
- Omid R. Faridani,
- Inna Biryukova,
- and Marc R. Friedländer
Genome Res. February 2026 36: 291-302; Published in Advance January 12, 2026, doi:10.1101/gr.279914.124
...target expression variation and covariation, but these observations have been limited to a few microRNAs. Here we systematically study microRNA alternative functions in mouse embryonic stem cells (mESCs) by genetically deleting Drosha, leading to global loss of microRNAs. We apply complementary single...
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Research: T2T-CHM13 improves read mapping and detection of clinically relevant genetic variation in the Swedish population
- Daniel Schmitz,
- Adam Ameur,
- and Åsa Johansson
Genome Res. November 2025 35: 2377-2388; Published in Advance September 16, 2025, doi:10.1101/gr.279320.124
...-CHM13 reference thus facilitates enhanced discovery of new disease-causing variation, benefiting, for example, rare-disease diagnostics.The first draft of the human reference was published by the Human Genome Sequencing Consortium in 2001 (International Human Genome Sequencing Consortium 2001). Since...
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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
...Genetic variation in recalcitrant repetitive regions of the Drosophila melanogaster Harsh G. Shukla1,2, Mahul Chakraborty3 and J.J. Emerson1,4 1Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California 92697, USA; 2Graduate Program in Mathematical...
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Method: Modeling gene interactions in polygenic prediction via geometric deep learning
- Han Li,
- Jianyang Zeng,
- Michael P. Snyder,
- and Sai Zhang
Genome Res. January 2025 35: 178-187; Published in Advance November 19, 2024, doi:10.1101/gr.279694.124
...the aforementioned two representations: (7) We refer to the single-ancestry model as PRS-Net and the multiancestry variation as PRS-NetMA.Model evaluationWe constructed target cohorts for eight diseases, including AD, AF, RA, MS, UC, asthma, MI, and CAD, and two quantitative traits, including height and BMI, based...
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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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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
..., we demonstrate that both microtia and facial asymmetry are present in two separate Shroom3 mouse models, the severity of which is dependent on gene dosage. Our study establishes SHROOM3 as a likely pathogenic gene for CFM and demonstrates eQTLs as determinants of modified penetrance...

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