Research Topic · Peer-Reviewed

Genetic Analysis

Genetic analysis is the systematic study of genes, chromosomes, and DNA and RNA sequences to determine their structure, variation, inheritance, and contribution to phenotype. It encompasses a continuum of methods, from classical pedigree and linkage approaches that trace traits through families, to molecular techniq…

Curated from this journal's research 📚 6 peer-reviewed articles cited Cited 13× across the literature 🔖 ISSN 2694-1198

Overview

Genetic analysis is the systematic study of genes, chromosomes, and DNA and RNA sequences to determine their structure, variation, inheritance, and contribution to phenotype. It encompasses a continuum of methods, from classical pedigree and linkage approaches that trace traits through families, to molecular techniques such as DNA sequencing, genotyping, and cytogenetics that resolve mutations, polymorphisms, and chromosomal rearrangements at high resolution. In clinical contexts, molecular analysis of specific genes identifies disease-causing variants, as in the characterization of metabolic disorders where mutations in enzyme-encoding genes such as those of the pterin and phenylalanine pathways explain biochemical phenotypes, or in inherited bleeding disorders attributable to defects in coagulation-factor genes. Cytogenetic investigation, including the detection of structural abnormalities and translocations, supports diagnosis and prognosis in haematological malignancies. Beyond medicine, genetic analysis underpins plant breeding and crop improvement, where it quantifies genetic diversity, constructs phylogenetic relationships, and links morphological and metabolic traits to underlying loci to guide precision selection. Population-level applications address inbreeding, heritability, and the distribution of variants across groups. Increasingly, genetic analysis is integrated with bioinformatics and pathway modelling, allowing researchers to interpret variants within networks and to connect genotype to molecular mechanism and to observable biological outcomes.

Research published in this journal

6 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 6 articles above have been cited 13 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Nov 2026.

A sample of recent works citing this journal's research on Genetic Analysis, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Journal of Genetic Engineering (ISSN 2694-1198).

Journal editorial board
Tao Xu · United States Annamaria Franze' · Italy Balraj Mittal · India

This page summarises published research for orientation; it is not medical or professional advice.