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Quantitative trait and transcriptome analysis of genetic complexity underpinning cardiac interatrial septation in mice using an advanced intercross line

Authors :
Mahdi Moradi Marjaneh
Edwin P. Kirk
Ralph Patrick
Dimuthu Alankerage
David T. Humphreys
Gonzalo Del Monte-Nieto
Paola Cornejo-Paramo
Vaibhao Janbandhu
Tram B. Doan
Sally L. Dunwoodie
Emily S. Wong
Chris Moran
Ian C.A. Martin
Peter C. Thomson
Richard P. Harvey
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

Unlike single-gene mutations leading to Mendelian conditions, common human diseases are likely emergent phenomena arising from multilayer, multiscale and highly interconnected interactions. Atrial and ventricular septal defects are the most common forms of cardiac congenital anomalies in humans. Atrial septal defects (ASD) show an open communication between left and right atria postnatally, potentially resulting in serious hemodynamic consequences if untreated. A milder form of atrial septal defect, patentforamen ovale(PFO), exists in about one quarter of the human population, strongly associated with ischaemic stroke and migraine. The anatomic liabilities and genetic and molecular basis of atrial septal defects remain unclear. Here, we advance our previous analysis of atrial septal variation through quantitative trait locus (QTL) mapping of an advanced intercross line (AIL) established between the inbred QSi5 and 129T2/SvEms mouse strains, that show extremes of septal phenotypes. Analysis resolved 37 unique septal QTL with high overlap between QTL for distinct septal traits. Whole genome sequencing of parental strains identified high confidence candidate deleterious variants, including in known human congenital heart disease genes, whereas transcriptome analysis of developing septa revealed networks involving ribosome, nucleosome, mitochondrial and extracellular matrix biosynthesis underlying septal variation. Analysis of variant architecture across different gene features, including enhancers and promoters, provided evidence for involvement of non-coding as well as protein coding variants. Our study provides the first high resolution picture of genetic complexity and network liability underlying common congenital heart disease, with relevance to human ASD and PFO.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ecb1d5ef3551c3b6e0b1bf051361d06f
Full Text :
https://doi.org/10.1101/2022.10.31.514499