Beyond the "Dominant" and "Recessive" Patterns of Inheritance

Overview

Journal Int J Mol Sci

Publisher MDPI

Specialties Biochemistry
Chemistry
Molecular Biology

Date 2025 Jan 8

PMID 39769142

Authors

Anthoula Chatzikyriakidou

Affiliations

Soon will be listed here.

Abstract

This study aimed to investigate whether genes with different modes of inheritance differ in the presence of promoter-enriched CGI loci. For each autosomal chromosome, the author searched for variations in the total number of diseases' phenotypes with autosomal dominant (AD) and recessive (AR) inheritance for a list of promoter-poor CGI (CGI-) and promoter-enriched CGI (CGI+) genes using the OMIM database. Then, the CGI- and CGI+ genes displaying random allelic or bi-allelic expression were examined. The author evaluated whether there was a distinct distribution of AD and AR diseases in the groups of chromosomes based on their SNP hotspot density. The same analysis was conducted for the X chromosome. The SPSS statistical package was utilized. The distribution of AD and AR diseases between CGI- and CGI+ bi-allelic genes significantly differed in autosomal chromosomes 6 and 17, which show intermediate SNP hotspot density. Additionally, a statistically significant difference was observed in AD and AR diseases in the remaining autosomal chromosomes with low SNP hotspots between their randomly allelic expressed CGI- and CGI+ genes. Specifically, AD diseases were related to CGI- genes, while AR diseases were associated with CGI+ genes. In the X chromosome, X-linked dominant (XLD) diseases were mainly found in CGI+ genes, and X-linked recessive (XLR) diseases were found in CGI- genes, regardless of the X-inactivation process. It is essential to study inheritance and classify genetic variants in a more stochastic way than the terms "Dominant" and "Recessive," and their derivatives, such as "Codominant" and "Incomplete Dominant," are applied in Mendelian and non-Mendelian inheritance. This concept may further explain the "Reduced Penetrance" and "Variable Expressivity" in certain human diseases. All the above suggests a need to reassess how genetic and epigenetic data are studied and utilized for genetic counseling or precision medicine.

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