Biology subjects

Rodriguez-Rios, J. M.

Publications and source records attributed to Rodriguez-Rios, J. M..

2 recordsLinked to original sources

bioRxiv2025

Global Evaluation of Congenital Heart Disease-Associated Non-Coding Variants

Abstract (Summary)Genome-wide association studies (GWAS) have mapped thousands of congenital heart disease (CHD)-associated variants within non-coding regions of the genome. Non-coding variants can alter regulatory mechanisms, such as transcription factor (TF) binding control of gene expression, potentially contributing human diseases. However, with the increasing number of disease-associated variants, comprehensive functional validation remains a significant challenge. In this work, we developed a novel method called SNP Bind-n-Seq to evaluate >3,000 CHD-risk variants for allelic binding for the cardiac TFs NKX2-5, GATA4, and TBX5 in a high-throughput manner. These binding affinity data sets were coupled with a massively parallel reporter assay (MPRA) to screen CHD-risk variant genotype-dependent regulatory activity. We identified 170 variants that exhibit allelic TF binding and 187 that modulate gene expression. Combining both approaches revealed three high-confidence variants with genotype-dependent TF binding, genotype-dependent transcriptional activity, and eQTL behavior in cardiac cells. Collectively, this study provides the first combined high-throughput biochemical and functional genomic evaluation of thousands of CHD-risk variants. HighlightsO_LIAllelic binding affinity measurements of [~]9,600 variants for NKX2-5, GATA4, and TBX5 C_LIO_LIEvaluaFon of >3,000 CHD-risk variants for genotype-dependent regulatory acFvity C_LIO_LIInteracFon networks idenFfy funcFonal variants and genes involving cardiac eQTLs C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=195 SRC="FIGDIR/small/691900v2_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1f2dc96org.highwire.dtl.DTLVardef@1700929org.highwire.dtl.DTLVardef@696ec4org.highwire.dtl.DTLVardef@1e724d8_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2022

Disease-Associated Non-Coding Variants Alter NKX2-5 DNA-Binding Affinity

1.Genome-wide association studies (GWAS) have mapped over 90% of disease- or trait-associated variants within the non-coding genome, like cis-regulatory elements (CREs). Non-coding single nucleotide polymorphisms (SNPs) are genomic variants that can change how DNA-binding regulatory proteins, like transcription factors (TFs), interact with the genome and regulate gene expression. NKX2-5 is a TF essential for proper heart development, and mutations affecting its function have been associated with congenital heart diseases (CHDs). However, establishing a causal mechanism between non-coding genomic variants and human disease remains challenging. To address this challenge, we identified 8,475 SNPs predicted to alter NKX2-5 DNA- binding using a position weight matrix (PWM)-based predictive model. Five variants were prioritized for in vitro validation; four of them are associated with traits and diseases that impact cardiovascular health. The impact of these variants on NKX2-5 binding was evaluated with electrophoretic mobility shift assay (EMSA) using recombinantly expressed and purified human NKX2-5 homeodomain. Binding curves were constructed to determine changes in binding between variant and reference alleles. Variants rs7350789, rs7719885, rs747334, and rs3892630 increased binding affinity, whereas rs61216514 decreased binding by NKX2-5 when compared to the reference genome. Our findings suggest that differential TF-DNA binding affinity can be key in establishing a causal mechanism of pathogenic variants. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=60 SRC="FIGDIR/small/518772v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@c5091dorg.highwire.dtl.DTLVardef@1d96d0forg.highwire.dtl.DTLVardef@18723eborg.highwire.dtl.DTLVardef@147517a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗