Genetics plays a progressing role in contemporary life as evidenced by revolutionary techniques development that includes CRISPR-founded genome editing and the increase in tailored genome services. Nevertheless, genetics is complex to learn as its demands that one should understand issues such as its technical language, different scales, and abstract nature. Pedigree analysis is a meeting point of these concepts, demanding the application of multiple symbolic scales and comprehending the relationships and nature of chromosomes, genes, and alleles (Grimes et al., 2022). A pedigree demonstrates associations between family members and demonstrates which persons have specific genetic pathogenic traits, diseases, and variations in a family and vital status. It can be utilized to establish patterns of disease inheritance in a family. A pedigree gives a graphic representation of a family’s medical history and structure. It assists to identify families and patients who contain an increased genetic disorder risk. According to Caksen et al. (2019), the genomic medicine era has now started and will have a progressive impact on shared neurologic diseases’ daily care. Genetic risk interpretation and analysis have become core elements for contemporary clinical evaluation, and comprehensive analysis of family history is important for neurologists (Caksen et al., 2019).
According to Wijsman (2012), rare variation is the existing human genetics frontier. The huge pedigree design is well-suited, efficient, and practical for examining rare variations. In huge pedigrees, unique rare disparities which co-segregate with a character will happen in adequate numbers so that impacts can be weighed and evidence for a relation can be assessed, using techniques that fully employ the pedigree information. Evidence from connection analysis can direct investigation, both by lowering the burden of multiple testing and expanding the disparities that can be followed up and evaluated. The huge pedigree design only needs a small sample size fraction to identify the targeted rare variations in population-founded design. Samples containing huge pedigrees with current rich genome and phenotypes scan data need to be a prime candidates for high sequencing throughput in the search of complex traits determinants.