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Method: An association test of the spatial distribution of rare missense variants within protein structures identifies Alzheimer's disease–related patterns
- Bowen Jin,
- John A. Capra,
- Penelope Benchek,
- Nicholas Wheeler,
- Adam C. Naj,
- Kara L. Hamilton-Nelson,
- John J. Farrell,
- Yuk Yee Leung,
- Brian Kunkle,
- Badri Vadarajan,
- Gerard D. Schellenberg,
- Richard Mayeux,
- Li-San Wang,
- Lindsay A. Farrer,
- Margaret A. Pericak-Vance,
- Eden R. Martin,
- Jonathan L. Haines,
- Dana C. Crawford,
- and William S. Bush
Genome Res. April 2022 32: 778-790; Published in Advance February 24, 2022, doi:10.1101/gr.276069.121
...between these variants and phenotypes.We hypothesized that rare missense variants contribute to common diseases by disrupting the protein function and are likely to form clustered or dispersed patterns within protein structures when examined in population-based studies. Therefore, incorporating spatial...
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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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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
...human variants can often be studied by investigating the effect of LOF of the orthologous fly gene (Fig. 3A). If similarities between phenotypes of Drosophila mutants and rare disease patients can be identified, such data can be utilized to provide supporting data on pathogenicity (Fig. 2). In addition...
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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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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
...Corresponding author: francescopaolo.casale@helmholtz-munich.deAbstractGene-level rare variant association tests (RVATs) are essential for uncovering disease mechanisms and identifying therapeutic targets. Advances in sequence-based machine learning have generated diverse variant pathogenicity scores, creating...
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Research: Unraveling undiagnosed rare disease cases by HiFi long-read genome sequencing
- Wouter Steyaert,
- Lydia Sagath,
- German Demidov,
- Vicente A. Yépez,
- Anna Esteve-Codina,
- Julien Gagneur,
- Kornelia Ellwanger,
- Ronny Derks,
- Marjan Weiss,
- Amber den Ouden,
- Simone van den Heuvel,
- Hilde Swinkels,
- Nick Zomer,
- Marloes Steehouwer,
- Luke O'Gorman,
- Galuh Astuti,
- Kornelia Neveling,
- Rebecca Schüle,
- Jishu Xu,
- Matthis Synofzik,
- Danique Beijer,
- Holger Hengel,
- Ludger Schöls,
- Kristl G. Claeys,
- Jonathan Baets,
- Liedewei Van de Vondel,
- Alessandra Ferlini,
- Rita Selvatici,
- Heba Morsy,
- Marwa Saeed Abd Elmaksoud,
- Volker Straub,
- Juliane Müller,
- Veronica Pini,
- Luke Perry,
- Anna Sarkozy,
- Irina Zaharieva,
- Francesco Muntoni,
- Enrico Bugiardini,
- Kiran Polavarapu,
- Rita Horvath,
- Evan Reid,
- Hanns Lochmüller,
- Marco Spinazzi,
- Marco Savarese,
- Solve-RD DITF-ITHACA, Solve-RD DITF-Euro-NMD, Solve-RD DITF-RND, Solve-RD DITF-EpiCARE,
- Leslie Matalonga,
- Steven Laurie,
- Han G. Brunner,
- Holm Graessner,
- Sergi Beltran,
- Stephan Ossowski,
- Lisenka E.L.M. Vissers,
- Christian Gilissen,
- Alexander Hoischen,
- and on behalf of the Solve-RD consortium
Genome Res. April 2025 35: 755-768; Published in Advance March 26, 2025, doi:10.1101/gr.279414.124
...and orthogonal validation of variants in known disease genes yielded 12 novel genetic diagnoses due to de novo and rare inherited SNVs, indels, SVs, and STR expansions. In an additional five families, we identified a candidate disease-causing variant, including an MCF2/FGF13 fusion and a PSMA3 deletion. However...
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Method: Unified integration of spatial transcriptomics across platforms with LLOKI
- Ellie Haber,
- Ajinkya Deshpande,
- Jian Ma,
- and Spencer Krieger
Genome Res. December 2025 35: 2722-2733; Published in Advance November 13, 2025, doi:10.1101/gr.280803.125
...samples from one ST technology as controls for disease samples collected using a different technology, reducing data requirements and conserving resources. Moreover, LLOKI could be applied to the integration of atlas-scale data sets, enabling large-scale, cross-technology analyses to identify rare...
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Research: Analysis of canine gene constraint identifies new variants for orofacial clefts and stature
- Reuben M. Buckley,
- Nüket Bilgen,
- Alexander C. Harris,
- Peter Savolainen,
- Cafer Tepeli,
- Metin Erdoğan,
- Aitor Serres Armero,
- Dayna L. Dreger,
- Frank G. van Steenbeek,
- Marjo K. Hytönen,
- Heidi G. Parker,
- Jessica Hale,
- Hannes Lohi,
- Bengi Çınar Kul,
- Adam R. Boyko,
- and Elaine A. Ostrander
Genome Res. May 2025 35: 1080-1093; Published in Advance March 24, 2025, doi:10.1101/gr.280092.124
...metrics (Gough et al. 2018; Plassais et al. 2019; Dutrow et al. 2022; Morrill et al. 2022).In humans, candidate trait and disease variants are generally identified using a combination of strategies, including multiple species alignment, protein structure predictions, gene mutation tolerance, and machine...
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Corrigendum: Corrigendum: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer
- Milad Razavi-Mohseni,
- Weitai Huang,
- Yu A. Guo,
- Dustin Shigaki,
- Shamaine Wei Ting Ho,
- Patrick Tan,
- Anders J. Skanderup,
- and Michael A. Beer
Genome Res. February 2026 36: 432; doi:10.1101/gr.281294.125
...Res 1088-9051 1549-5469 Cold Spring Harbor Laboratory Press 9509184 10.1101/gr.281294.125 ;36/2/432 ;gr.281294.125 432 gr.281294.125 Corrigendum Corrigendum Corrigenda Corrigendum Corrigendum Razavi-Mohseni Milad Huang Weitai Guo Yu A. Shigaki Dustin Ho Shamaine Wei Ting Tan Patrick Skanderup Anders J...
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Method: STCC enhances spatial domain detection through consensus clustering of spatial transcriptomics data
- Congcong Hu,
- Nana Wei,
- Jiyuan Yang,
- Hua-Jun Wu,
- and Xiaoqi Zheng
Genome Res. June 2025 35: 1415-1428; Published in Advance May 12, 2025, doi:10.1101/gr.280031.124
...al. 2019; Ji et al. 2020), rheumatoid arthritis (Vickovic et al. 2022), diabetes (Theocharidis et al. 2022), and Parkinson's (Jia et al. 2023) and Alzheimer's diseases (Chen et al. 2020) by probing disease-associated alterations in spatial gene expression patterns. Such investigations can potentially...

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