Abstract: High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this paper we ...
Abstract: Genetic prediction of human personality traits is a new field of study at the interface of genomics, psychology, and machine learning. Single Nucleotide Polymorphisms (SNPs), the most common ...
- `fang_et_al_genotypes.txt`: contains SNP genotype data from maize, teosinte, and Tripsacum samples. - `snp_position.txt`: contains information about the SNPs in `fang_et_al_genotypes.txt`, including ...
In the GAPIT manual (Section 2.2, Numeric format), it is stated that “any numeric value between 0 and 2 can represent imputed SNP genotypes.” I would like to clarify whether this statement also allows ...
Precision medicine models often rely on data from Northern European populations, leading to treatment inequities. Genetic diversity is crucial for understanding disease risk and treatment efficacy, as ...
This important study provides a theoretical framework for quantifying privacy risk from publicly shared genome-wide association summary statistics. The findings reveal the conditions under which ...
Forensic genetic genealogy (FGG) is a force-multiplier for human identification, leveraging dense single nucleotide polymorphism (SNP) data to infer relationships through identity by descent (IBD) ...
Background Previous genome-wide association studies (GWAS) have identified numerous genetic loci associated with juvenile idiopathic arthritis (JIA). However, the functional impact of these ...
Epi-PRS improves polygenic risk scoring by integrating genomic large language models (LLMs) to impute epigenomic signals as intermediaries between genotype and phenotype. This approach enables a more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results