| Title: | Quantile-specific confounding: correction for subtle population stratification via quantile regression |
| Journal: | Genetics |
| Published: | 21 Jul 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40690556/ |
| DOI: | https://doi.org/10.1093/genetics/iyaf138 |
Publication 16135
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Abstract
Subtle population structure remains a significant concern in genome-wide association studies. Using human height as an example, we show how quantile regression, a natural extension of linear regression, can better correct for subtle population structure due to its inherent ability to adjust for quantile-specific effects of covariates such as principal components. We utilize data from the UK Biobank and the SardiNIA/ProgeNIA project for demonstration.</p>
7 Keywords
- Body Height
- Genetics, Population
- Genome-Wide Association Study
- Humans
- Polymorphism, Single Nucleotide
- Regression Analysis
- United Kingdom
6 Authors
- Chen Wang
- Marco Masala
- Edoardo Fiorillo
- Marcella Devoto
- Francesco Cucca
- Iuliana Ionita-Laza
1 Application
| Application ID | Title |
|---|---|
| 41849 | GWAS studies for kidney-related traits using UKBB data. |
Enabling scientific discoveries that improve human health