Project description:We perform the first two-stage GWAS on TB in the Chinese population. We examined 900,015 genetic variants in 1,008 TB patients using the HumanOmniZhongHua-8 v1.1 BeadChip.

2019-06-01 | GSE83397 | GEO

aspergillus from turkish pistacho

Project description:aspergillus from turkish pistacho

| PRJEB65959 | ENA

Genome-wide Association Study for Non-syndromic Clefts in the African Population: CIDR

Project description:Genome-wide Association Study for Non-syndromic Clefts in the African Population: CIDR

| PRJNA315716 | ENA

Epigenome wide association study of post-mortem Alzheimer’s Disease samples

Project description:Samples from 72 AD patients and 62 age-matched cognitively normal controls were assayed using Illumina© Infinium MethylationEPIC BeadChip. We performed an epigenome-wide association study (EWAS) to evaluate the epigenetic differences using post-mortem superior temporal gyrus (STG) and inferior frontal gyrus (IFG) samples. We performed an epigenome-wide association study (EWAS) to evaluate the epigenetic differences using post-mortem superior temporal gyrus (STG) and inferior frontal gyrus (IFG) samples.

2020-10-20 | GSE156984 | GEO

Genome-wide association analysis in diverse inbred mice: power and population structure

Project description:The discovery of quantitative trait loci (QTL) in model organisms has relied heavily on the ability to perform controlled breeding to generate genotypic and phenotypic diversity. Recently, we and others have demonstrated the use of a set of diverse inbred mice as a QTL mapping population. The use of this population has many advantages, including increased phenotypic diversity, a higher recombination frequency and the ability to collect genotype data in community databases. However, these methods are complicated by inherent population structure and the inability to accurately assess statistical power. To address these issues, we measured gene expression levels in hypothalamus across the diverse inbred mapping population. We then mapped these phenotypes as quantitative traits with our association algorithm, resulting in a large set of expression QTLs. We utilized these eQTLs (and specifically the cis-eQTLs) to devise a relative measure of statistical power which does not rely on parametrically simulated data. Finally, we utilized this approach to develop and optimize a novel method of accounting for population structure in the Mouse Diversity Panel. Keywords: strain and gender

2007-04-18 | GSE5961 | GEO

Genome-wide Association Study of Neuroblastoma

Project description:Genome-wide Association Study of Neuroblastoma

| PRJNA75825 | ENA

Genome Wide Association Study of Asthma

Project description:Genome Wide Association Study of Asthma

| PRJNA75657 | ENA