Human-genome single nucleotide polymorphisms affecting transcription factor binding and their role in pathogenesis

Area of Science:

• Genomics
• Molecular Biology
• Genetics

Background:

• Single nucleotide polymorphisms (SNPs) are common human genome variations.
• Most SNPs have no phenotypic effect, but some alter gene function or expression levels.
• Regulatory SNPs (rSNPs) in genomic regions impact gene expression by modifying transcription factor binding sites.

Purpose of the Study:

• Investigate the mechanisms by which rSNPs contribute to phenotypic differences, particularly disease susceptibility and drug sensitivity.
• Enhance functional annotation of SNPs identified through genome-wide association studies (GWASs).
• Elucidate the molecular mechanisms underlying pathology and inform the development of effective treatments.

Main Methods:

• Genome-wide association studies (GWASs) to identify SNP associations with diseases or traits.
• Mapping expression quantitative trait loci (eQTLs) to find SNPs with allele-specific expression differences.
• Utilizing next-generation sequencing (NGS) data, including RNA-seq, ChIP-seq, DNase-seq, ATAC-seq, and MPRA, to predict rSNPs.
• Integrating data from trait associations and molecular-level allele-specific changes.

Main Results:

• NGS technologies have accelerated SNP identification and functional annotation.
• Functional analysis of GWAS-annotated SNPs is increasingly relevant for understanding disease mechanisms.
• eQTL mapping identifies SNPs affecting gene expression levels in homozygotes and heterozygotes.
• Predictive approaches identify rSNPs through allele-specific molecular events.

Conclusions:

• Functional annotation of SNPs is essential for understanding their role in disease.
• A comprehensive approach combining trait association data and molecular analyses is necessary.
• Understanding rSNPs' roles is key to elucidating genetic determinants in multifactorial diseases.
• Integrating diverse approaches significantly advances knowledge of genetic contributions to traits and diseases.