Fine Mapping Gwas. GWAS of hybrid necrosis in 80 accessions. A. Map of 80 accessions Fine-mapping using individual data is usually performed by fitting the multiple linear regression model: Fine-mapping : Fine-mapping aims to identify the causal variant(s) within a locus for a disease, given the evidence of the significant association of the locus (or genomic region) in GWAS of a disease
Figure S12. Statistical finemapping schematic, related to Figures 35 from www.researchgate.net
Functional annotations of the genome may help to prioritize variants that are biologically relevant and thus improve fine-mapping of GWAS results To increase power for fine-mapping, large international consortia were formed that combined their data sets and collaboratively designed custom genotyping arrays
Figure S12. Statistical finemapping schematic, related to Figures 35
Fine-mapping : Fine-mapping aims to identify the causal variant(s) within a locus for a disease, given the evidence of the significant association of the locus (or genomic region) in GWAS of a disease There are two bits of information here that allow you to interpret the fine-mapping: the overall Bayes factor for the region, and the posterior distribution on the. However, current methods focus on genome-wide significant loci only or consider one genomic region at a time, in isolation from the rest of the genome, which may result in miscalibration and compromise power
Finemapping Basics GWASTutorial. There are two bits of information here that allow you to interpret the fine-mapping: the overall Bayes factor for the region, and the posterior distribution on the. Classical fine-mapping methods conducting an exhaustive search of variant-level causal configurations have a high computational cost, especially when the underlying genetic architecture and LD.
Frontiers GenomeWide Association Study and Fine Mapping Reveals. To increase power for fine-mapping, large international consortia were formed that combined their data sets and collaboratively designed custom genotyping arrays As GWAS continue to grow in size, frequency, and diversity, there is an increasing need for fine mapping methods that leverage results from multiple studies of the same trait