Evidence map›Paper›PMID 34272501›Full record

ReviewNature reviews. Cardiology2022

Genomic frontiers in congenital heart disease.

Sarah U Morton, Daniel Quiat, Jonathan G Seidman, Christine E Seidman

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed, 6 pooled it
13.9field-weighted citation impact, top 1% of its field
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

144 citing papers in PubMed, 6 syntheses or guidelines pooled it, 237 citations in OpenAlex.

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84 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Sarah U Morton *Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7816-2646
Daniel Quiat *Department of Pediatrics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4224-7277
Jonathan G SeidmanDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Christine E SeidmanDepartment of Genetics, Harvard Medical School, Boston, MA, USA. cseidman@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0001-6380-1209
Boston Children's Hospital · USBrigham and Women's Hospital · USHarvard University · US

Funding

Administrative Coordinating Center: Cardiovascular Development and Pediatric Cardiac Genomics ConsortiaU01HL131003 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CNOTA, JAMES, OLLBERDING, NICHOLAS J · 2016 to 2024
$54.8M
RESEARCH METHODS IN PEDIATRICS HEART DISEASET32HL007572 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI Sarah D DE FERRANTI, Jane W. Newburger · 1985 to 2026
$13.0M
Genomic Effects on Right Ventricular Function, Clinical Features and Outcomes in CHDU01HL098147 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI NEWBURGER, JANE W., ROBERTS, AMY E · 2009 to 2024
$6.7M
Regulation of Cardiac Development in Health and DiseaseUM1HL098166 · NHLBI · HARVARD MEDICAL SCHOOL · PI PENNACCHIO, LEN ALEXANDER, PU, WILLIAM TSWENCHING · 2015 to 2019
$4.4M
Molecular Causes of Down Syndrome Associated Congenital Heart Disease and Other PhenotypesR01HL151257 · NHLBI · HARVARD MEDICAL SCHOOL · PI SEIDMAN, JONATHAN G · 2019 to 2019
$3.7M
The Genomic Basis of Congenital Heart Disease and Neurodevelopmental OutcomesUM1HL098147 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI NEWBURGER, JANE W., ROBERTS, AMY E · 2015 to 2019
$2.4M
Pediatric Heart Network Joint Heart Program ConsortiumUM1HL172717 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI Louis Bezold, James Cnota · 2024 to 2026
$1.3M
Computational Prioritization of Coding and Non-Coding Variants in Congenital Heart DiseaseR03HL150412 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI MORTON, SARAH, SEIDMAN, JONATHAN G · 2021 to 2022
$371k
NHLBI NIH HHS 3U01HL131003NHLBI NIH HHS HL151257NHLBI NIH HHS R01 HL151257NHLBI NIH HHS R03 HL150412NHLBI NIH HHS T32 HL007572NHLBI NIH HHS U01 HL098147NHLBI NIH HHS U01 HL131003NHLBI NIH HHS UM1 HL098147NHLBI NIH HHS UM1 HL0981479NHLBI NIH HHS UM1 HL098166NHLBI NIH HHS UM1 HL172717
6 · The paper itself

Abstract

The application of next-generation sequencing to study congenital heart disease (CHD) is increasingly providing new insights into the causes and mechanisms of this prevalent birth anomaly. Whole-exome sequencing analysis identifies damaging gene variants altering single or contiguous nucleotides that are assigned pathogenicity based on statistical analyses of families and cohorts with CHD, high expression in the developing heart and depletion of damaging protein-coding variants in the general population. Gene classes fulfilling these criteria are enriched in patients with CHD and extracardiac abnormalities, evidencing shared pathways in organogenesis. Developmental single-cell transcriptomic data demonstrate the expression of CHD-associated genes in particular cell lineages, and emerging insights indicate that genetic variants perturb multicellular interactions that are crucial for cardiogenesis. Whole-genome sequencing analyses extend these observations, identifying non-coding variants that influence the expression of genes associated with CHD and contribute to the estimated ~55% of unexplained cases of CHD. These approaches combined with the assessment of common and mosaic genetic variants have provided a more complete knowledge of the causes and mechanisms of CHD. Such advances provide knowledge to inform the clinical care of patients with CHD or other birth defects and deepen our understanding of the complexity of human development. In this Review, we highlight known and candidate CHD-associated human genes and discuss how the integration of advances in developmental biology research can provide new insights into the genetic contributions to CHD.

Indexed as

GenomicsHeart Defects, CongenitalHumans

Identifiers

PMID34272501
PMCPMC9236191
OpenAlexW3179623148

What OpenQuestion holds

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Registered trials

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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.