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Locating potentially lethal genes using the abnormal distributions of genotypes
1School of Computer Science and Engineering, Yulin Normal University, Yulin, 537000, China. ding.xiaojun@foxmail.com.
Scientific Reports
|July 24, 2019
Summary
This study introduces a new statistical method to find potentially lethal genes by identifying abnormal genotype distributions at single nucleotide polymorphism (SNP) sites. The method successfully located several genes linked to severe childhood diseases and developmental issues.
Area of Science:
- Genetics
- Bioinformatics
- Statistical Analysis
Background:
- Genes are fundamental units of heredity, and variations like single nucleotide polymorphisms (SNPs) can cause congenital conditions.
- Certain SNPs can alter gene function, leading to abnormalities, potentially fatal diseases, or developmental issues in embryos and children.
Purpose of the Study:
- To develop a novel statistical method for detecting abnormal genotype distributions at SNP sites.
- To identify potentially lethal genes associated with these abnormal distributions.
Main Methods:
- A statistical method was designed to analyze genotype distributions at specific genomic positions.
- The method was applied to HapMap data to identify suspicious SNPs.
Main Results:
- The analysis identified 74 suspicious SNPs.
- Ten SNPs were linked to genes in the NCBI database, with 5 associated with fatal childhood diseases or embryonic development, 1 with spermatogenic failure, and 4 with various genetic diseases.
Conclusions:
- The developed statistical method is effective and validated for discovering potentially lethal genes and mutation sites.
- This inexpensive approach offers a valuable tool for further genetic research and disease investigation.
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