SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits

SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits

Abstract Sample relatedness is a major confounder in genome-wide association studies (GWAS), potentially leading to inflated type I error rates if not appropriately controlled. A common strategy is to incorporate a random effect related to genetic relatedness matrix (GRM) into regression models. How...

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Bibliographic Details
Main Authors: He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56669-1
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