Evidence map›Paper›PMID 39830246›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The Role of

Mingzhou Fu, Hanna E Berk-Rauch, Sumantra Chatterjee, Aravinda Chakravarti

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mingzhou FuCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, NY, 10016.ORCID 0000-0001-5506-259X
Hanna E Berk-RauchCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, NY, 10016.ORCID 0000-0002-1238-1248
Sumantra ChatterjeeCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, NY, 10016.ORCID 0000-0002-5076-1698
Aravinda ChakravartiCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, New York, NY, 10016.ORCID 0000-0002-4264-2285

Funding

Genetic Analysis of Hirschsprung Disease - RenewalR01HD028088 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAKRAVARTI, ARAVINDA · 1991 to 2024
$6.2M
Genetic Analysis of Hirschsprung DiseaseR37HD028088 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHAKRAVARTI, ARAVINDA · 2010 to 2019
$6.2M
Why do Down Syndrome patients have high risk of Hirschsprung disease?R01DK135089 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI, Sumantra Chatterjee · 2022 to 2026
$4.2M
Computational identification of Hirschsprung disease susceptibility genesR03HD116004 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHATTERJEE, SUMANTRA · 2024 to 2024
$339k
NICHD NIH HHS R01 HD028088NICHD NIH HHS R03 HD116004NICHD NIH HHS R37 HD028088NIDDK NIH HHS R01 DK135089
6 · The paper itself

Abstract

Background: Hirschsprung disease (HSCR) is a rare neurodevelopmental disorder caused by disrupted migration and proliferation of enteric neural crest cells during enteric nervous system development. Genetic studies suggest a complex etiology involving both rare and common variants, but the contribution of ultra-rare pathogenic variants (PAs) remains poorly understood. Methods: We perform whole-exome sequencing (WES) on 301 HSCR probands and 109 family trios, employing advanced statistical methods and gene prioritization strategies to identify genes carrying Results: We identify 19 risk genes enriched with ultra-rare coding pathogenic variants in HSCR probands, including four known genes ( Conclusions: This first-ever genome-wide screen of ultra-rare variants in a large, phenotypically diverse HSCR cohort highlights the substantial contribution of ultra-rare pathogenic variants to the disease risk and phenotypic variability. These findings enhance our understanding of the genetic architecture of HSCR and provide potential targets for genetic screening and personalized interventions.

Identifiers

PMID39830246
PMCPMC11741498

What Socratic holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.