Evidence map›Paper›PMID 35414959›Full record

ArticleQuantitative biology (Beijing, China)2021

Integrative modeling of transmitted and

Mo Li, Xue Zeng, Chentian Jin, Sheng Chih Jin, Weilai Dong, Martina Brueckner, Richard Lifton, Qiongshi Lu, Hongyu Zhao

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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

9 authors.

Mo LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
Xue ZengDepartment of Genetics, Yale University, New Haven, CT 06510, USA.
Chentian JinDepartment of Molecular, Cellular & Developmental Biology, Yale University, CT 06510, USA.
Sheng Chih JinDepartment of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA.
Weilai DongDepartment of Genetics, Yale University, New Haven, CT 06510, USA.
Martina BruecknerDepartment of Genetics, Yale University, New Haven, CT 06510, USA.
Richard LiftonDepartment of Genetics, Yale University, New Haven, CT 06510, USA.
Qiongshi LuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53792, USA.
Hongyu ZhaoDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.

Funding

Novel statistical methods and tools to integrate multiple endophenotypes and functional annotation data to study the roles of rare variants in complex human diseases using sequencing dataR01GM134005 · NIGMS · YALE UNIVERSITY · PI WU, BAOLIN, ZHAO, HONGYU · 2020 to 2023
$1.6M
Integrative Genomic Analysis of Congenital Heart DiseaseR00HL143036 · NHLBI · WASHINGTON UNIVERSITY · PI JIN, SHENG CHIH · 2020 to 2022
$730k
Statistical Methods for Analyzing Birth Defects CohortsR03HD100883 · NICHD · YALE UNIVERSITY · PI ZHAO, HONGYU · 2021 to 2022
$335k
Integrative Genomic Analysis of Congenital Heart DiseaseK99HL143036 · NHLBI · ROCKEFELLER UNIVERSITY · PI JIN, SHENG CHIH · 2019 to 2019
$178k
NHLBI NIH HHS K99 HL143036NHLBI NIH HHS R00 HL143036NICHD NIH HHS R03 HD100883NIGMS NIH HHS R01 GM134005
6 · The paper itself

Abstract

Background: Whole-exome sequencing (WES) studies have identified multiple genes enriched for Methods: In this manuscript, we introduce a hierarchical Bayesian framework for gene-level association test which jointly analyzes Results: Applied to WES data of 2,645 CHD proband-parent trios, our method identified 15 significant genes, half of which are novel, leading to new insights into the genetic bases of CHD. Conclusion: These results showcase the power of integrative analysis of transmitted and

Indexed as

congenital heart diseasede novo mutationgene-level association testrare variants

Identifiers

PMID35414959
PMCPMC9000521

What OpenQuestion holds

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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 OpenQuestion graph.