Evidence map›Paper›PMID 39925442›Full record

ReviewGlobal medical genetics2025

Genetic impact of copy number variations on congenital heart defects: Current insights and future directions.

Nandini Krishnamurthy, Devi Krishna, Sanjana, Jebaraj Rathinasamy, Ashok Kumar, Andrea Mary Francis

Abstract readReview
In one paragraph

Review in Global medical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Nandini KrishnamurthyDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Devi KrishnaDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
SanjanaDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Jebaraj RathinasamyDepartment of Pediatric Cardiology, Sri Ramachandra Medical Centre, Chennai, Tamil Nadu, India.
Ashok KumarDepartment of Biotechnology, Vels Institute of Sciences Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India.
Andrea Mary FrancisDepartment of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart defects (CHDs) are the most prevalent congenital abnormalities, and they are commonly associated with genetic alterations, namely copy number variants. CNVs, which are duplications or deletions of DNA sequences, can disrupt gene regulation, impact dosage-sensitive genes, and cause loss-of-function mutations, all of which can interfere with heart development. CNVs cause genomic instability by changing essential genes, which plays an important role in the pathophysiology of CHDs. Detecting these variants is critical for better understanding the genetic causes of these abnormalities and improving patient outcomes. Advanced genetic testing tools aid in detecting CNVs linked to CHDs. Multiplex Ligation-Dependent Probe Amplification (MLPA), High-throughput Ligation-Dependent Probe Amplification (HLPA), Whole Exome Sequencing (WES), Chromosomal Microarray Analysis (CMA), and CNV-specific sequencing (CNV-seq) have all greatly improved the detection of these variants. Furthermore, whole genome sequencing (WGS) has emerged as a potent method for detecting CNVs on a wide scale, allowing for earlier diagnosis and more effective treatment planning. Therefore, this review focuses on the rising significance of CNV research in congenital heart defects, emphasizing on how genetic differences might lead to improved diagnostic and treatment options. By combining genomic technologies, researchers and clinicians can gain a better understanding of the function of CNVs in CHDs, opening the door for personalised therapy.

Indexed as

Chromosomal microarray analysis (CMA)CNV-specific sequencing (CNV-seq)Copy number variationGenomic instabilityLong interspersed nuclear elementMultiplex ligation-dependent probe amplification (MLPA)Short Interspersed nuclear elementWhole exome sequencing (WES)

Identifiers

PMID39925442
PMCPMC11800308

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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.