Biology subjects

Keavney, B.

Publications and source records attributed to Keavney, B..

8 recordsLinked to original sources

bioRxiv2025

The RNA splicing factor PRPF8 is required for left-right organiser cilia function and determination of cardiac left-right asymmetry via regulation of Arl13b splicing

Cilia function in the left-right organizer (LRO) is critical for determining internal organ asymmetry in vertebrates. To further understand the genetics of left-right asymmetry, we isolated a mouse mutant with laterality defects, l11Jus27, from a random mutagenesis screen. l11Jus27 mutants carry a missense mutation in the pre-mRNA processing factor, Prpf8. cephaloph[o]nus (cph) mutant zebrafish, carrying a protein truncating mutation in prpf8, phenocopy the laterality defects of l11Jus27 mutants. Prpf8 mutant mouse and fish embryos have increased expression of an alternative transcript encoding the cilium-associated protein, ARL13B, that lacks exon 9. In zebrafish, over-expression of the arl13b transcript lacking exon 9 perturbed cilium formation and caused laterality defects. The shorter ARL13B protein isoform lacked interactions with intraflagellar transport proteins. Our data suggest that PRPF8 plays a prominent role in LRO cilia by through the regulation of alternative splicing of ARL13B, thus uncovering a new mechanism for cilia-linked developmental defects.

developmental biology↗

bioRxiv2021

Glypican-6 deficiency causes dose-dependent conotruncal congenital heart malformations through abnormal remodelling of the endocardial cushions

Tetralogy of Fallot (TOF) is considered to be the commonest type of cyanotic congenital heart disease (CHD). A previous GWAS showed significant association between TOF and single nucleotide polymorphisms in chromosome 13q31. Here through integration of population genomic and chromosomal interaction data we identify the heparan sulfate proteoglycan glypican-6 (GPC6) as the potentially responsible gene at the associated locus. We showed that GPC6 is expressed in the endocardial cushions at the appropriate time in development to contribute to TOF risk. We generated mice homozygous for a Gpc6 KO allele, which exhibit 100% neonatal lethality with severe cardiac malformations, namely TOF-type double outlet right ventricle (DORV) with rightward mal-positioned aorta and perimembranous ventricular septal defect (VSD), together with right ventricular (RV) hypertrophy and narrowing of the pulmonary artery. We established a dose-response relationship between Gpc6 expression and the anatomical severity of cardiac malformations. We showed the mouse knockout phenotype arises from abnormal morphology of the endocardial cushions, and tissue-specific knockout of Gpc6 in endothelial and neural crest cell lineages produces a phenotype featuring VSD and aortic malposition analogous to human TOF. This successful identification of a CHD gene from GWAS data suggests that larger GWA studies may find additional causative genes.

genetics↗

bioRxiv2020

Integrative analysis of genomic variants reveals new associations of candidate haploinsufficient genes with congenital heart disease

Congenital Heart Disease (CHD) affects approximately 7-9 children per 1000 live births. Numerous genetic studies have established a role for rare genomic variants at the copy number variation (CNV) and single nucleotide variant level. In particular, the role of de novo mutations (DNM) has been highlighted in syndromic and non-syndromic CHD. To identify novel haploinsufficient CHD disease genes we performed an integrative analysis of CNVs and DNMs identified in probands with CHD including cases with sporadic thoracic aortic aneurysm (TAA). We assembled CNV data from 7,958 cases and 14,082 controls and performed a gene-wise analysis of the burden of rare genomic deletions in cases versus controls. In addition, we performed mutation rate testing for DNMs identified in 2,489 parent-offspring trios. Our combined analysis revealed 21 genes which were significantly affected by rare genomic deletions and/or constrained non-synonymous de novo mutations in probands. Fourteen of these genes have previously been associated with CHD while the remaining genes (FEZ1, MYO16, ARID1B, NALCN, WAC, KDM5B and WHSC1) have only been associated in singletons and small cases series, or show new associations with CHD. In addition, a systems level analysis revealed shared contribution of CNV deletions and DNMs in CHD probands, affecting protein-protein interaction networks involved in Notch signaling pathway, heart morphogenesis, DNA repair and cilia/centrosome function. Taken together, this approach highlights the importance of re-analyzing existing datasets to strengthen disease association and identify novel disease genes.

genetics↗

bioRxiv2020

Genome-wide association study in European patients with congenital heart disease identifies risk loci for transposition of the great arteries and anomalies of the thoracic arteries and veins and expression of discovered candidate genes in the developing heart

RationaleGenetic factors undoubtedly contribute to the development of congenital heart disease (CHD), but still remain mostly ill-defined. ObjectiveIdentification of genetic risk factors associated with CHD and functional analysis of SNP-carrying genes. Methods and ResultsGenetic association study of 1,440 Caucasian CHD patients from the German Heart Center Munich collected from March 2009 to June 2016, 2,594 patients of previous studies provided by the Newcastle University and 8,486 controls underwent meta-analysis to detect single nucleotide polymorphisms (SNPs) associated with CHD. Results4,034 Caucasian CHD patients strictly classified according to the Society of Thoracic Surgeons nomenclature and 8,486 controls were included. One SNP on chromosome 5 reached genome-wide significance across all CHD phenotypes (rs185531658,OR:2.16, p=5.28x10-9) and was also indicative for septal defects (OR:2.16, p=6.15x10-8). One region on chromosome 20 pointing to the MACROD2 locus, identified four SNPs (rs150246290,OR:3.78, p=1.27x10-10; rs149890280,OR:3.74, p=1.8x10-10; rs149467721,OR:3.53; p=1.39x10-9, rs77094733,OR:3.53, p=1.73x10-9) in patients with transposition of the great arteries (TGA). A second region was detected on chromosome 8 located at ZBTB10 (rs148563140,OR:3.42, p=3.28x10-8; rs143638934,OR:3.42, p=3.51x10-8) in the same subgroup. Three highly significant risk variants on chromosome 17 (rs76774446,OR:1.60, p=9.95x10-8; rs11874,OR:1.60, p=6.64x10-8; rs17677363,OR:1.60, p=9.81x10-8) within the GOSR2 locus were identified in patients with anomalies of thoracic arteries and veins (ATAV). Genetic variants associated with ATAV are suggested to influence expression of WNT3, and variant rs870142 related to septal defects is proposed to influence expression of MSX1. Cardiac differentiation of human and murine induced pluripotent stem cells and single cell RNAseq analyses of developing murine and human hearts show essential functional roles for MACROD2, GOSR2, WNT3 and MSX1 at all developmental stages. ConclusionsFor the first time genetic risk factors in CHD patients with TGA and ATAV were identified. Several candidate genes play an essential functional role in heart development at the embryonic, newborn and adult stage.

genomics↗

bioRxiv2020

STX18-AS1 is a Long Noncoding RNA predisposing to Atrial Septal Defect via downregulation of NKX2-5 in differentiating cardiomyocytes

Previous genome-wide association studies (GWAS) have identified a region of chromosome 4p16 associated with the risk of Atrial Septal Defect (ASD), which is among the commonest Congenital Heart Disease (CHD) phenotypes. Here, we identify the responsible gene in the region and elucidate disease mechanisms. Linkage disequilibrium in the region, eQTL analyses in human atrial tissues, and spatio-temporal gene expression studies in human embryonic hearts concordantly suggested the long noncoding RNA (lncRNA) STX18-AS1 as the causative gene in the region. Using CRISPR/Cas9 knockdown in HepG2 cells, STX18-AS1 was shown to regulate the expression of the key cardiac transcription factor NKX2-5 via a trans-acting effect on promoter histone methylation. Furthermore, STX18-AS1 knockdown depleted the potential of human embryonic stem cells (H9) to differentiate into cardiomyocytes, without affecting their viability and pluripotency, providing a mechanistic explanation for the clinical association.

genetics↗

bioRxiv2019

Large-scale examination of neuropsychiatric, cognitive and cardiovascular phenotypic associations with 15q11.2 BP1-BP2 deletion in ~500,000 UK Biobank individuals

BackgroundDeletion of a non-imprinted 500Kb genomic region at chromosome 15q11.2, between breakpoints 1 and 2 of the Prader-Willi/Angelman locus (BP1-BP2 deletion) has been associated in previous studies with phenotypes including developmental delay, autism, schizophrenia and congenital cardiovascular malformations (CVM). The deletion has a low baseline population prevalence and large-scale data regarding the magnitude of these associations and any milder effects on cognition phenotypes, in populations not selected for disease, are limited.\n\nMethodsUsing the UK Biobank (UKB) cohort of [~]500,000 individuals, we identified individuals with neuropsychiatric and CVM diagnoses and investigated their association with deletions at the BP1-BP2 locus. In addition we assessed the association of BP1-BP2 deletions with cognitive function and academic achievement in individuals with no previous diagnosis.\n\nResultsCases of neurodevelopmental and CVM disease had an increased prevalence of the deletion compared to controls (0.68%; OR=1.84 [95% CI 1.23 - 2.75]; p=0.004 and 0.64%; OR=1.73 [95% CI 1.08 - 2.75]; p=0.03 respectively). Excluding participants diagnosed with neurodevelopmental or neuropsychiatric disease, deletion carriers had worse scores in four tests of cognitive function, and while 32.8% of UKB participants without BP1-BP2 deletion had a university or college degree as their highest educational qualification, only 22.8% of deletion carriers achieved this (OR 0.57 [95% CI 0.51-0.64]; p=5.60E-22).\n\nConclusionsWe conclude that BP1-BP2 deletion has an appreciable population prevalence with important life-course impacts on undiagnosed carriers. These data are of potential utility in deciding the circumstances under which clinical testing for BP1-BP2 deletion may be helpful.\n\nKey messagesO_LIDeletions at chromosome 15q11.2 between breakpoints 1 and 2 (BP1-BP2), which encompass four genes, have been associated with developmental delay, autism, schizophrenia and congenital cardiovascular malformations.\nC_LIO_LIHere, we use the largest cohort studied to date: the UK Biobank cohort of [~]500,000 individuals, to explore the association of this deletion with neuropsychiatric and cardiovascular phenotypes as well as its effects on cognitive function and academic achievement.\nC_LIO_LIWe find an appreciable population prevalence of the deletion with these phenotypes and demonstrate reduced cognitive function and lower academic achievements in those individuals with no prior diagnosis.\nC_LI

genetics↗

bioRxiv2018

Re-Evaluating One-step Generation of Mice Carrying Conditional Alleles by CRISPR-Cas9-Mediated Genome Editing Technology

CRISPR-Cas9 gene editing technology has considerably facilitated the generation of mouse knockout alleles, relieving many of the cumbersome and time-consuming steps of traditional mouse embryonic stem cell technology. However, the generation of conditional knockout alleles remains an important challenge. An earlier study reported up to 16% efficiency in generating conditional knockout alleles in mice using 2 single guide RNAs (sgRNA) and 2 single-stranded oligonucleotides (ssODN) (2sgRNA-2ssODN). We re-evaluated this method from a large data set generated from a consortium consisting of 17 transgenic core facilities or laboratories or programs across the world. The dataset constituted 17,887 microinjected or electroporated zygotes and 1,718 live born mice, of which only 15 (0.87%) mice harbored 2 correct LoxP insertions in cis configuration indicating a very low efficiency of the method. To determine the factors required to successfully generate conditional alleles using the 2sgRNA-2ssODN approach, we performed a generalized linear regression model. We show that factors such as the concentration of the sgRNA, Cas9 protein or the distance between the placement of LoxP insertions were not predictive for the success of this technique. The major predictor affecting the methods success was the probability of simultaneously inserting intact proximal and distal LoxP sequences, without the loss of the DNA segment between the two sgRNA cleavage sites. Our analysis of a large data set indicates that the 2sgRNA-2ssODN method generates a large number of undesired alleles (>99%), and a very small number of desired alleles (<1%) requiring, on average 1,192 zygotes.

genetics↗

bioRxiv2018

Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention

BackgroundCoronary artery disease (CAD) has substantial heritability and a polygenic architecture; however, genomic risk scores have not yet leveraged the totality of genetic information available nor been externally tested at population-scale to show potential utility in primary prevention.\n\nMethodsUsing a meta-analytic approach to combine large-scale genome-wide and targeted genetic association data, we developed a new genomic risk score for CAD (metaGRS), consisting of 1.7 million genetic variants. We externally tested metaGRS, individually and in combination with available conventional risk factors, in 22,242 CAD cases and 460,387 non-cases from UK Biobank.\n\nFindingsIn UK Biobank, a standard deviation increase in metaGRS had a hazard ratio (HR) of 1.71 (95% CI 1.68-1.73) for CAD, greater than any other externally tested genetic risk score. Individuals in the top 20% of the metaGRS distribution had a HR of 4.17 (95% CI 3.97-4.38) compared with those in the bottom 20%. The metaGRS had higher C-index (C=0.623, 95% CI 0.615-0.631) for incident CAD than any of four conventional factors (smoking, diabetes, hypertension, and body mass index), and addition of the metaGRS to a model of conventional risk factors increased C-index by 3.7%. In individuals on lipid-lowering or anti-hypertensive medications at recruitment, metaGRS hazard for incident CAD was significantly but only partially attenuated with HR of 2.83 (95% CI 2.61- 3.07) between the top and bottom 20% of the metaGRS distribution.\n\nInterpretationRecent genetic association studies have yielded enough information to meaningfully stratify individuals using the metaGRS for CAD risk in both early and later life, thus enabling targeted primary intervention in combination with conventional risk factors. The metaGRS effect was partially attenuated by lipid and blood pressure-lowering medication, however other prevention strategies will be required to fully benefit from earlier genomic risk stratification.\n\nFundingNational Health and Medical Research Council of Australia, British Heart Foundation, Australian Heart Foundation.

genetics↗