Evidence map›Paper›PMID 41648336›Full record

ArticlebioRxiv : the preprint server for biology2026

An integrated, scaled approach to resolve TSC2 variants of uncertain significance.

Carina G Biar, Ziyu R Wang, Nathan D Camp, Daniel L Holmes, Melinda K Wheelock, Sriram Pendyala, Abby V McGee, Pankhuri Gupta, Abbye E McEwen, Malvika Tejura and 13 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Carina G BiarKen and Ruth Davee Department of Neurology, Northwestern Feinberg School of Medicine, Chicago, Illinois.
Ziyu R WangDepartment of Genome Sciences, University of Washington, Seattle, WA.
Nathan D CampCenter for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA.
Daniel L HolmesDepartment of Genome Sciences, University of Washington, Seattle, WA.
Melinda K WheelockDepartment of Genome Sciences, University of Washington, Seattle, WA.
Sriram PendyalaDepartment of Genome Sciences, University of Washington, Seattle, WA.
Abby V McGeeDepartment of Genome Sciences, University of Washington, Seattle, WA.
Pankhuri GuptaDepartment of Genome Sciences, University of Washington, Seattle, WA.
Abbye E McEwenDepartment of Genome Sciences, University of Washington, Seattle, WA.
Malvika TejuraDepartment of Genome Sciences, University of Washington, Seattle, WA.
Marcy E RichardsonAmbry Genetics, Aliso Viejo, CA.
Jamie D WeyandtAmbry Genetics, Aliso Viejo, CA.
Taylor ColemanAmbry Genetics, Aliso Viejo, CA.
Ross StewartThe Institute for Experiential AI, Northeastern University, Boston, MA.
Daniel ZeibergThe Institute for Experiential AI, Northeastern University, Boston, MA.
Allyssa J VandiDepartment of Genome Sciences, University of Washington, Seattle, WA.
Samantha DawsonCenter for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA.
Predrag RadivojacThe Institute for Experiential AI, Northeastern University, Boston, MA.
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, WA.
Gemma L CarvillKen and Ruth Davee Department of Neurology, Northwestern Feinberg School of Medicine, Chicago, Illinois.
Richard G JamesCenter for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA.
Douglas M FowlerDepartment of Genome Sciences, University of Washington, Seattle, WA.
Jeffrey D CalhounKen and Ruth Davee Department of Neurology, Northwestern Feinberg School of Medicine, Chicago, Illinois.ORCID 0000-0003-0554-2231

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Devalingam Mahalingam · 1993 to 2026
$153.9M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Support for the use and evaluation of large cloud-based genomic datasets.U24HG012012 · NHGRI · STANFORD UNIVERSITY · PI Mark Bender Gerstein, Benjamin Hitz · 2021 to 2026
$23.0M
Single-cell Mapping Center for Human Regulatory Elements and Gene ActivityUM1HG012076 · NHGRI · STANFORD UNIVERSITY · PI Michael Ryan Corces, Ansuman Satpathy · 2021 to 2026
$13.8M
Center for Mouse Genomic Variation at Single Cell ResolutionUM1HG012077 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Seyed Ali Mortazavi, BARBARA J WOLD · 2021 to 2026
$13.7M
A Foundational Resource of Functional Elements, TF footprints and Gene Regulatory InteractionsUM1HG011986 · NHGRI · BROAD INSTITUTE, INC. · PI BRADLEY Evan BERNSTEIN, Jason Daniel Buenrostro · 2021 to 2026
$13.3M
High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular PhenotypesUM1HG012053 · NHGRI · DUKE UNIVERSITY · PI GREGORY E CRAWFORD, Charles A. Gersbach · 2021 to 2026
$10.7M
Stanford Center for Connecting DNA Variants to Function and PhenotypeUM1HG011972 · NHGRI · STANFORD UNIVERSITY · PI JESSE M ENGREITZ, THOMAS QUERTERMOUS · 2021 to 2026
$10.5M
Multiscale functional characterization of genomic variation in human developmental disordersUM1HG011996 · NHGRI · UT SOUTHWESTERN MEDICAL CENTER · PI Gary Chung Hon, WILLIAM Lee KRAUS · 2021 to 2026
$10.5M
Comprehensive characterization of variants underlying heart and blood diseases with CRISPR base editingUM1HG012010 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Daniel Evan Bauer, Luca Pinello · 2021 to 2026
$10.4M
The Center for Actionable Variant Analysis; measuring variant function at scaleUM1HG011969 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Lea Starita · 2021 to 2026
$9.9M
Systematic in vivo characterization of disease-associated regulatory variantsUM1HG012003 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, KAREN L. MOHLKE · 2021 to 2026
$9.9M
NCI NIH HHS P30 CA060553NHGRI NIH HHS T32 HG000035NHGRI NIH HHS U01 HG011952NHGRI NIH HHS U01 HG011967NHGRI NIH HHS U01 HG012009NHGRI NIH HHS U01 HG012022NHGRI NIH HHS U01 HG012039NHGRI NIH HHS U01 HG012041NHGRI NIH HHS U01 HG012047NHGRI NIH HHS U01 HG012051NHGRI NIH HHS U01 HG012059NHGRI NIH HHS U01 HG012064NHGRI NIH HHS U01 HG012069NHGRI NIH HHS U01 HG012079NHGRI NIH HHS U01 HG012103NHGRI NIH HHS U24 HG012012NHGRI NIH HHS U24 HG012070NHGRI NIH HHS UM1 HG011966NHGRI NIH HHS UM1 HG011969NHGRI NIH HHS UM1 HG011972NHGRI NIH HHS UM1 HG011986NHGRI NIH HHS UM1 HG011989NHGRI NIH HHS UM1 HG011996NHGRI NIH HHS UM1 HG012003NHGRI NIH HHS UM1 HG012010NHGRI NIH HHS UM1 HG012053NHGRI NIH HHS UM1 HG012076NHGRI NIH HHS UM1 HG012077NIH HHS S10 OD011996NIH HHS S10 OD026814
6 · The paper itself

Abstract

Obtaining a precise genetic tuberous sclerosis diagnosis is a challenge as many missense

Identifiers

PMID41648336
PMCPMC12871146

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.