The unmasking of Mitochondrial Adam and Structural Variants larger than point mutations as stronger candidates for traits, disease phenotype and sex determination

TL;DR

This study analyzes structural variations and SNPs in genomes, revealing that SVs, especially in mitochondrial DNA, are stronger indicators for traits, disease, and sex determination than SNPs alone, with implications for ancestry and medical applications.

Contribution

The paper introduces a comprehensive method for detecting and analyzing structural variations and SNPs, highlighting the significance of SVs in trait and sex determination, and mitochondrial inheritance patterns.

Findings

SVs are less prone to rearrangements than SNPs in mitochondrial DNA.

SVs provide stronger evidence for sex determination than SNPs.

Larger variance in SVs compared to SNPs enhances individual characterization.

Abstract

Background: Structural Variations, SVs, in a genome can be linked to a disease or characteristic phenotype. The variations come in many types and it is a challenge, not only determining the variations accurately, but also conducting the downstream statistical and analytical procedure. Method: Structural variations, SVs, with size 1 base-pair to 1000s of base-pairs with their precise breakpoints and single-nucleotide polymorphisms, SNPs, were determined for members of a family. The genome was assembled using optimal metrics of ABySS and SOAPdenovo assembly tools using paired-end DNA sequence. Results: An interesting discovery was the mitochondrial DNA could have paternal leakage of inheritance or that the mutations could be high from maternal inheritance. It is also discovered that the mitochondrial DNA is less prone to SVs re-arrangements than SNPs, which propose better standards for determining ancestry and divergence between races and species over a long-time frame. Sex determination of an individual is found to be strongly confirmed using calls of nucleotide bases of SVs to the Y chromosome, more strongly determined than SNPs. We note that in general there is a larger variance -and thus the standard deviation, in the sum of SVs nucleotide compared to sum of SNPs of an individual when compared to reference sequence, and thus SVs serve as a stronger means to characterize an individual for a given trait or phenotype or to determine sex. The SVs and SNPs in HLA loci would also serve as a medical transformation method for determining the success of an organ transplant for a patient, and predisposition to diseases apriori.