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Record W4376613400 · doi:10.1016/j.gim.2023.100897

Biallelic variants in ribonuclease inhibitor (RNH1), an inflammasome modulator, are associated with a distinctive subtype of acute, necrotizing encephalopathy

2023· article· en· W4376613400 on OpenAlexafffund
Vandana Shashi, Kelly Schoch, Rebecca Ganetzky, Peter G. Kranz, Neal Sondheimer, M. Louise Markert, Heidi Cope, Azita Sadeghpour, Philip Roehrs, Thomas Arbogast, Colleen Muraresku, Maria T. Acosta, Margaret P Adam, David R. Adams, Raquel L. Alvarez, Justin Alvey, Laura M. Amendola, Ashley Andrews, Euan A. Ashley, Carlos A. Bacino, Güney Bademci, Ashok Balasubramanyam, Dustin Baldridge, Jim Bale, Michael Bamshad, Deborah Barbouth, Pinar Bayrak‐Toydemir, Anita E. Beck, Alan H. Beggs, Edward M. Behrens, Gill Bejerano, Hugo J. Bellen, Jimmy Bennett, Beverly Berg-Rood, Jonathan A. Bernstein, Gerard T. Berry, Anna Bican, Stephanie Bivona, Elizabeth Blue, John Bohnsack, Devon Bonner, Lorenzo Botto, Brenna Boyd, Lauren C. Briere, Gabrielle Brown, Elizabeth A. Burke, Lindsay C. Burrage, Manish J. Butte, Peter H. Byers, William E. Byrd, John C. Carey, Olveen Carrasquillo, Thomas Cassini, Ta Chen Chang, Sirisak Chanprasert, Hsiao‐Tuan Chao, Iván K. Chinn, Gary Clark, Terra R. Coakley, Laurel A. Cobban, Joy D. Cogan, Matthew Coggins, F. Sessions Cole, Heather A. Colley, Rosario I. Corona, William J. Craigen, Andrew B. Crouse, Michael L. Cunningham, Precilla D’Souza, Hongzheng Dai, Surendra Dasari, Joie Davis, Jyoti G. Dayal, Esteban C. Dell’Angelica, Patricia Dickson, Katrina M. Dipple, Daniel Doherty, Naghmeh Dorrani, Argenia L. Doss, Emilie D. Douine, Dawn Earl, David J. Eckstein, Lisa Emrick, Christine M. Eng, Marni J. Falk, Elizabeth L. Fieg, Paul G. Fisher, Brent L. Fogel, Irman Forghani, William A. Gahl, Ian A. Glass, Bernadette R. Gochuico, Pagé C. Goddard, Rena A. Godfrey, Katie Golden‐Grant, Alana Grajewski, Don Hadley, Sihoun Hahn, Meghan C. Halley, Rizwan Hamid, Kelly Hassey, Nichole Hayes, Frances A. High, Anne Hing, Fuki M. Hisama, Ingrid A. Holm, Jason Hom, Martha Horike‐Pyne, Alden Huang, Sarah Hutchison, Wendy J. Introne, Rosario Isasi, Kosuke Izumi, Fariha Jamal, Gail P. Jarvik, Jeffrey G. Jarvik, Suman Jayadev, Orpa Jean-Marie, Vaidehi Jobanputra, Lefkothea Karaviti, Shamika Ketkar, Dana Kiley, Gonench Kilich, Shilpa N. Kobren, Isaac S. Kohane, Jennefer N. Kohler, Susan Korrick, Mary Kozuira, Deborah Krakow, Donna M. Krasnewich, Elijah Kravets, Seema R. Lalani, Byron Lam, Christina Lam, Brendan C. Lanpher, Ian R. Lanza, Kimberly LeBlanc, Brendan Lee, Roy C. Levitt, Richard A. Lewis, Pengfei Liu, Xue Zhong Liu, Nicola Longo, Sandra K. Loo, Joseph Loscalzo, Richard L. Maas, Ellen F. Macnamara, Calum A. MacRae, Valerie V. Maduro, Audrey Stephannie Maghiro, Rachel Mahoney, May Christine V. Malicdan, Laura A. Mamounas, Teri A. Manolio, Rong Mao, Kenneth R. Maravilla, Ronit Marom, Gábor Marth, Beth A. Martin, Martin G. Martin, Julián A. Martínez-Agosto, Shruti Marwaha, Jacob L. McCauley, Allyn McConkie‐Rosell, Alexa T. McCray, Elisabeth McGee, Heather Mefford, J. Lawrence Merritt, Matthew Might, Ghayda Mirzaa, Éva Morava, Paolo Moretti, John J. Mulvihill, Mariko Nakano‐Okuno, Stanley F. Nelson, John H. Newman, Sarah K. Nicholas, Deborah A. Nickerson, Shirley Nieves‐Rodriguez, Donna Novacic, Devin Oglesbee, James P. Orengo, Laura Pace, Stephen Pak, J. Carl Pallais, Christina G.S. Palmer, Jeanette C. Papp, Neil H. Parker, Jennifer E. Posey, Lorraine Potocki, Barbara N. Pusey Swerdzewski, Aaron R. Quinlan, Anna Raper, Wendy H. Raskind, Genecee Renteria, Chloe M. Reuter, Lynette Rives, Amy K. Robertson, Lance H. Rodan, Jill A. Rosenfeld, Natalie Rosenwasser, Francis Rossignol, Maura Ruzhnikov, Ralph L. Sacco, Jacinda B. Sampson, Mario Saporta, Judy Schaechter, Timothy Schedl, Daryl A. Scott, C. Ron Scott, Elaine Seto, Jimann Shin, Edwin K. Silverman, Janet S. Sinsheimer, Kathy Sisco, Edward C. Smith, Kevin S. Smith, Lilianna Solnica‐Krezel, Ben Solomon, Rebecca C. Spillmann, Joan M. Stoler, Kathleen E. Sullivan, Jennifer A. Sullivan, Angela Sun, Shirley Sutton, David A. Sweetser, Virginia P. Sybert, Holly K. Tabor, Queenie K.‐G. Tan, Amelia L.M. Tan, Arjun Tarakad, Mustafa Tekin, Fred Telischi, Willa Thorson, Cynthia J. Tifft, Camilo Toro, Alyssa A. Tran, Rachel A. Ungar, Tiina K. Urv, Adeline Vanderver, Matt Velinder, Dave Viskochil, Tiphanie P. Vogel, Colleen E. Wahl, Melissa Walker, Stephanie E Wallace, Jennifer Wambach, Jijun Wan, Lee-kai Wang, Michael F. Wangler, Patricia A. Ward, Daniel Wegner, Monika Weisz Hubshman, Mark H. Wener, Tara Wenger, Monte Westerfield, Matthew T. Wheeler, Jordan Whitlock, Lynne A. Wolfe, Kim C. Worley, Changrui Xiao, Shinya Yamamoto, John Yang, Zhe Zhang, Stephan Züchner, Amanda V. Tyndall, Michael J. Esser, Kristine Woodward, Billie Au, Jillian S. Parboosingh, Ryan E. Lamont, François P. Bernier, Nicola Wright, Susanne M. Benseler, Simon Parsons, Mays El-Dairi, Purnima Valdez, Michael B. Tennison, A. Micheil Innes, Erica E. Davis

Bibliographic record

VenueGenetics in Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicInfectious Encephalopathies and Encephalitis
Canadian institutionsUniversity of Calgary
FundersCommon FundNational Institute of Neurological Disorders and StrokeNational Human Genome Research InstituteChildren's Hospital of PhiladelphiaAlberta Children's Hospital FoundationNational Institutes of HealthChildren's Hospital FoundationSchool of Medicine, Duke UniversityDuke University
KeywordsMedicineEtiologyEncephalopathyProbandPenetranceInflammasomeCompound heterozygosityImmunologyMutationInternal medicineGeneticsBiologyInflammationPhenotypeGene

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.278
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2023
Admission routes2
Has abstractno

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