ArticleScientific reports2017
Accumulation of minor alleles and risk prediction in schizophrenia.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Microfluidic low-input profiling reveals lncRNA roles in disease.bioRxiv : the preprint server for biology · 2026Article
- SNP-based prediction of schizophrenia using machine learning.Bioinformatics advances · 2026Article
- The collective effects of genetic variants and complex traits.Journal of human genetics · 2023Article
- Article
- Article
- Heterogeneity in the distribution of 159 drug-response related SNPs in world populations and their genetic relatedness.PloS one · 2020Article
- Validation of a microRNA target site polymorphism in H3F3B that is potentially associated with a broad schizophrenia phenotype.PloS one · 2018Article
- Enrichment of minor allele of SNPs and genetic prediction of type 2 diabetes risk in British population.PloS one · 2017Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia is a common neuropsychiatric disorder with a lifetime risk of 1%. Accumulation of common polygenic variations has been found to be an important risk factor. Recent studies showed a role for the enrichment of minor alleles (MAs) of SNPs in complex diseases such as Parkinson's disease. Here we similarly studied the role of genome wide MAs in schizophrenia using public datasets. Relative to matched controls, schizophrenia cases showed higher average values in minor allele content (MAC) or the average amount of MAs per subject. By risk prediction analysis based on weighted genetic risk score (wGRS) of MAs, we identified an optimal MA set consisting of 23 238 variants that could be used to predict 3.14% of schizophrenia cases, which is comparable to using 22q11 deletion to detect schizophrenia cases. Pathway enrichment analysis of these SNPs identified 30 pathways with false discovery rate (FDR) <0.02 and of significant P-value, most of which are known to be linked with schizophrenia and other neurological disorders. These results suggest that MAs accumulation may be a risk factor to schizophrenia and provide a method to genetically screen for this disease.
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