Genetic ancestry estimates within dutch family units and across genotyping arrays: Insights from empirical analysis using two estimation methods

TitleGenetic ancestry estimates within dutch family units and across genotyping arrays: Insights from empirical analysis using two estimation methods
Publication TypeJournal Article
Year of Publication2023
AuthorsBeck, JJ, Ahmed, T, Finnicum, CT, Zwinderman, K, Ehli, EA, Boomsma, DI, Hottenga, JJan
JournalGenes (Basel)
Volume14
Pagination1497
KeywordsADMIXTURE, genetic ancestry estimation, population structure, principal components analysis (PCA), within-family analysis
Abstract

Accurate inference of genetic ancestry is crucial for population-based association studies, accounting for population heterogeneity and structure. This study analyzes genome-wide SNP data from the Netherlands Twin Register to compare genetic ancestry estimates. The focus is on the comparison of ancestry estimates between family members and individuals genotyped on multiple arrays (Affymetrix 6.0, Affymetrix Axiom, and Illumina GSA). Two conventional methods, principal component analysis and ADMIXTURE, were implemented to estimate ancestry, each serving its specific purpose, rather than for direct comparison. The results reveal that as the degree of genetic relatedness decreases, the Euclidean distances of genetic ancestry estimates between family members significantly increase (empirical p < 0.001), regardless of the estimation method and genotyping array. Ancestry estimates among individuals genotyped on multiple arrays also show statistically significant differences (empirical p < 0.001). Additionally, this study investigates the relationship between the ancestry estimates of non-identical twin offspring with ancestrally diverse parents and those with ancestrally similar parents. The results indicate a statistically significant weak correlation between the variation in ancestry estimates among offspring and differences in ancestry estimates among parents (Spearman's rho: 0.0

DOI10.3390/genes14071497