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1. De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome.

Author

Chen Y, Dawes R, Kim HC, Ljungdahl A, Stenton SL, Walker S, Lord J, Lemire G, Martin-Geary AC, Ganesh VS, Ma J, Ellingford JM, Delage E, D'Souza EN, Dong S, Adams DR, Allan K, Bakshi M, Baldwin EE, Berger SI, Bernstein JA, Bhatnagar I, Blair E, Brown NJ, Burrage LC, Chapman K, Coman DJ, Compton AG, Cunningham CA, D'Souza P, Danecek P, Délot EC, Dias KR, Elias ER, Elmslie F, Evans CA, Ewans L, Ezell K, Fraser JL, Gallacher L, Genetti CA, Goriely A, Grant CL, Haack T, Higgs JE, Hinch AG, Hurles ME, Kuechler A, Lachlan KL, Lalani SR, Lecoquierre F, Leitão E, Fevre AL, Leventer RJ, Liebelt JE, Lindsay S, Lockhart PJ, Ma AS, Macnamara EF, Mansour S, Maurer TM, Mendez HR, Metcalfe K, Montgomery SB, Moosajee M, Nassogne MC, Neumann S, O'Donoghue M, O'Leary M, Palmer EE, Pattani N, Phillips J, Pitsava G, Pysar R, Rehm HL, Reuter CM, Revencu N, Riess A, Rius R, Rodan L, Roscioli T, Rosenfeld JA, Sachdev R, Shaw-Smith CJ, Simons C, Sisodiya SM, Snell P, St Clair L, Stark Z, Stewart HS, Tan TY, Tan NB, Temple SEL, Thorburn DR, Tifft CJ, Uebergang E, VanNoy GE, Vasudevan P, Vilain E, Viskochil DH, Wedd L, Wheeler MT, White SM, Wojcik M, Wolfe LA, Wolfenson Z, Wright CF, Xiao C, Zocche D, Rubenstein JL, Markenscoff-Papadimitriou E, Fica SM, Baralle D, Depienne C, MacArthur DG, Howson JMM, Sanders SJ, O'Donnell-Luria A, and Whiffin N

Subjects
Adolescent, Child, Child, Preschool, Female, Humans, Infant, Male, Young Adult, Alleles, Brain growth & development, Brain metabolism, Heterozygote, RNA Splice Sites genetics, Spliceosomes genetics, Syndrome, Rare Diseases genetics, Gene Expression Regulation, Developmental, Mutation, Neurodevelopmental Disorders genetics, RNA, Small Nuclear genetics
Abstract

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes 1 . Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome 2 . We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 115 individuals with NDD. Most individuals (77.4%) have the same highly recurrent single base insertion (n.64_65insT). In 54 individuals in whom it could be determined, the de novo variants were all on the maternal allele. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to RNU4-1 and other U4 homologues. Using RNA sequencing, we show how 5' splice-site use is systematically disrupted in individuals with RNU4-2 variants, consistent with the known role of this region during spliceosome activation. Finally, we estimate that variants in this 18 base pair region explain 0.4% of individuals with NDD. This work underscores the importance of non-coding genes in rare disorders and will provide a diagnosis to thousands of individuals with NDD worldwide., (© 2024. The Author(s).)

Published
2024
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2. De novo variants in the non-coding spliceosomal snRNA gene RNU4-2 are a frequent cause of syndromic neurodevelopmental disorders.

Author

Chen Y, Dawes R, Kim HC, Stenton SL, Walker S, Ljungdahl A, Lord J, Ganesh VS, Ma J, Martin-Geary AC, Lemire G, D'Souza EN, Dong S, Ellingford JM, Adams DR, Allan K, Bakshi M, Baldwin EE, Berger SI, Bernstein JA, Brown NJ, Burrage LC, Chapman K, Compton AG, Cunningham CA, D'Souza P, Délot EC, Dias KR, Elias ER, Evans CA, Ewans L, Ezell K, Fraser JL, Gallacher L, Genetti CA, Grant CL, Haack T, Kuechler A, Lalani SR, Leitão E, Fevre AL, Leventer RJ, Liebelt JE, Lockhart PJ, Ma AS, Macnamara EF, Maurer TM, Mendez HR, Montgomery SB, Nassogne MC, Neumann S, O'Leary M, Palmer EE, Phillips J, Pitsava G, Pysar R, Rehm HL, Reuter CM, Revencu N, Riess A, Rius R, Rodan L, Roscioli T, Rosenfeld JA, Sachdev R, Simons C, Sisodiya SM, Snell P, Clair L, Stark Z, Tan TY, Tan NB, Temple SE, Thorburn DR, Tifft CJ, Uebergang E, VanNoy GE, Vilain E, Viskochil DH, Wedd L, Wheeler MT, White SM, Wojcik M, Wolfe LA, Wolfenson Z, Xiao C, Zocche D, Rubenstein JL, Markenscoff-Papadimitriou E, Fica SM, Baralle D, Depienne C, MacArthur DG, Howson JM, Sanders SJ, O'Donnell-Luria A, and Whiffin N

Abstract

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes 1 . Increasingly, large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here, we identify the non-coding RNA RNU4-2 as a novel syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome 2 . We identify an 18 bp region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and Stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 119 individuals with NDD. The vast majority of individuals (77.3%) have the same highly recurrent single base-pair insertion (n.64_65insT). We estimate that variants in this region explain 0.41% of individuals with NDD. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to its contiguous counterpart RNU4-1 and other U4 homologs, supporting RNU4-2 's role as the primary U4 transcript in the brain. Overall, this work underscores the importance of non-coding genes in rare disorders. It will provide a diagnosis to thousands of individuals with NDD worldwide and pave the way for the development of effective treatments for these individuals., Competing Interests: Competing interests NW receives research funding from Novo Nordisk and has consulted for ArgoBio studio. SJS receives research funding from BioMarin Pharmaceutical. AODL is on the scientific advisory board for Congenica, was a paid consultant for Tome Biosciences and Ono Pharma USA Inc., and received reagents from PacBio to support rare disease research. HLR has received support from Illumina and Microsoft to support rare disease gene discovery and diagnosis. MHW has consulted for Illumina and Sanofi and received speaking honoraria from Illumina and GeneDx. SBM is an advisor for BioMarin, Myome and Tenaya Therapeutics. SMS has received honoraria for educational events or advisory boards from Angelini Pharma, Biocodex, Eisai, Zogenix/UCB and institutional contributions for advisory boards, educational events or consultancy work from Eisai, Jazz/GW Pharma, Stoke Therapeutics, Takeda, UCB and Zogenix. The Department of Molecular and Human Genetics at Baylor College of Medicine receives revenue from clinical genetic testing completed at Baylor Genetics Laboratories. JMMH is a full-time employee of Novo Nordisk and holds shares in Novo Nordisk A/S. DGM is a paid consultant for GlaxoSmithKline, Insitro, and Overtone Therapeutics and receives research support from Microsoft.

Published
2024
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3. Organ aging signatures in the plasma proteome track health and disease.

Author

Oh HS, Rutledge J, Nachun D, Pálovics R, Abiose O, Moran-Losada P, Channappa D, Urey DY, Kim K, Sung YJ, Wang L, Timsina J, Western D, Liu M, Kohlfeld P, Budde J, Wilson EN, Guen Y, Maurer TM, Haney M, Yang AC, He Z, Greicius MD, Andreasson KI, Sathyan S, Weiss EF, Milman S, Barzilai N, Cruchaga C, Wagner AD, Mormino E, Lehallier B, Henderson VW, Longo FM, Montgomery SB, and Wyss-Coray T

Subjects
Adult, Humans, Alzheimer Disease blood, Brain metabolism, Cognitive Dysfunction blood, Machine Learning, Cohort Studies, Disease Progression, Heart Failure blood, Extracellular Matrix metabolism, Synapses metabolism, Vascular Calcification blood, Heart, Aging blood, Biomarkers blood, Proteome analysis, Organ Specificity, Proteomics, Health, Disease
Abstract

Animal studies show aging varies between individuals as well as between organs within an individual 1-4 , but whether this is true in humans and its effect on age-related diseases is unknown. We utilized levels of human blood plasma proteins originating from specific organs to measure organ-specific aging differences in living individuals. Using machine learning models, we analysed aging in 11 major organs and estimated organ age reproducibly in five independent cohorts encompassing 5,676 adults across the human lifespan. We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers. Accelerated organ aging confers 20-50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs. We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer's disease (AD) progression independently from and as strongly as plasma pTau-181 (ref. 5 ), the current best blood-based biomarker for AD. Our models link vascular calcification, extracellular matrix alterations and synaptic protein shedding to early cognitive decline. We introduce a simple and interpretable method to study organ aging using plasma proteomics data, predicting diseases and aging effects., (© 2023. The Author(s).)

Published
2023
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