ArticlebioRxiv : the preprint server for biology2025
A framework to infer
Haeun Moon, Laura Sloofman, Marina Natividad Avila, Lambertus Klei, Bernie Devlin, Joseph D Buxbaum, Kathryn Roeder
Abstract readPreprint
In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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 itWhat 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 registryThe 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.
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
7 authors.
Haeun MoonDepartment of Statistics, Seoul National University, Seoul, South Korea.
Laura SloofmanSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Marina Natividad AvilaSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Lambertus KleiDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Bernie DevlinDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Joseph D BuxbaumSeaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-8898-8313 Kathryn RoederDepartment of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Funding
Methods for single-cell CRISPR screens and multiomic data: constructing powerful well-calibrated tests, circumventing unmeasured confounding, and accounting for denoising and imputationR01MH123184 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI KATHRYN M ROEDER · 2020 to 2026
$3.8MGenomics of Autism in Latinx AncestriesR01MH128813 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Joseph D. Buxbaum · 2022 to 2026
$3.7M1/4 - The Autism Sequencing Consortium: Autism Gene Discovery in >50,000 ExomesU01MH111661 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUXBAUM, JOSEPH D. · 2017 to 2021
$2.6M1/4 - The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorderR01MH129724 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Joseph D. Buxbaum · 2022 to 2026
$2.0M3/4 - The Autism Sequencing Consortium: Autism Gene Discovery in >50,000 ExomesU01MH111658 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEVLIN, BERNIE · 2017 to 2021
$2.0M3/4 The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorderR01MH129725 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI KATHRYN M ROEDER · 2022 to 2026
$1.9MNIMH NIH HHS R01 MH123184NIMH NIH HHS R01 MH128813NIMH NIH HHS R01 MH129724NIMH NIH HHS R01 MH129725NIMH NIH HHS U01 MH111658NIMH NIH HHS U01 MH111661
6 · The paper itselfAbstract
Motivation: Gene-damaging mutations are highly informative for studies seeking to discover genes underlying developmental disorders. Traditionally, these Results: We use data from autism spectrum disorder to illustrate and evaluate methods. Separating Availability and Implementation: The implementation code and publicly available data are provided at: https://github.com/HaeunM/TADA-RD.
Indexed as
autism spectrum disorderclassificationcongenital heart diseasede novo mutationgenetic association
Identifiers
PMID40777446
PMCPMC12330658
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