Genetic variants disrupting DNA methylation at CpG dinucleotides (CpG-SNP) provide a set of known causal variants to serve as models for testing fine-mapping methodology. We use 1716 CpG-SNPs to test three fine-mapping approaches (BIMBAM, BSLMM, and the J-test), assessing the impact of imputation errors and the choice of reference panel by using both whole-genome sequence (WGS), and genotype array data on the same individuals (n=1166). The choice of imputation reference panel had a strong effect on imputation accuracy, with the 1000 Genomes Phase 3 (1000G) reference panel (n=2504 from 26 populations) giving a mean non-reference discordance rate between imputed and sequenced genotypes of 3.2% compared to 1.6% when using the Haplotype Referen...
As the amount of data from genome wide association studies grows dramatically, many interesting scie...
DNA methylation (DNAm) epigenome-wide association studies (EWAS) have been performed on diverse ethn...
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes ...
Item does not contain fulltextINTRODUCTION: An increasing number of studies investigates the influen...
Background: Imputation is a statistical process used to predict genotypes of loci not directly assay...
Imputation is an extremely valuable tool in conducting and synthesising genome-wide association stud...
Background: Imputation is a statistical process used to predict genotypes of loci not directly assay...
Increasing availability of large whole genome sequencing and genomics data have brought both opportu...
Imputation is an extremely valuable tool in conducting and synthesising genome-wide association stud...
Background: Pinpointing genetic impacts on DNA methylation can improve our understanding of pathways...
BACKGROUND: Pinpointing genetic impacts on DNA methylation can improve our understanding of pathways...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
Samoa is a population isolate that has generated a unique genetic profile by means of the founder ef...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
Background: Genetic influence on DNA methylation is potentially an important mechanism affecting ind...
As the amount of data from genome wide association studies grows dramatically, many interesting scie...
DNA methylation (DNAm) epigenome-wide association studies (EWAS) have been performed on diverse ethn...
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes ...
Item does not contain fulltextINTRODUCTION: An increasing number of studies investigates the influen...
Background: Imputation is a statistical process used to predict genotypes of loci not directly assay...
Imputation is an extremely valuable tool in conducting and synthesising genome-wide association stud...
Background: Imputation is a statistical process used to predict genotypes of loci not directly assay...
Increasing availability of large whole genome sequencing and genomics data have brought both opportu...
Imputation is an extremely valuable tool in conducting and synthesising genome-wide association stud...
Background: Pinpointing genetic impacts on DNA methylation can improve our understanding of pathways...
BACKGROUND: Pinpointing genetic impacts on DNA methylation can improve our understanding of pathways...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
Samoa is a population isolate that has generated a unique genetic profile by means of the founder ef...
Genotype imputation methods are now being widely used in the analysis of genome-wide association stu...
Background: Genetic influence on DNA methylation is potentially an important mechanism affecting ind...
As the amount of data from genome wide association studies grows dramatically, many interesting scie...
DNA methylation (DNAm) epigenome-wide association studies (EWAS) have been performed on diverse ethn...
Imputation is a method of predicting unknown genotypes in a dataset by comparing measured genotypes ...