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bioRxiv · 10.1101/2020.01.01.892513

Dutch population structure across space, time and GWAS design

Byrne, R. P.·van Rheenen, W.·Project MinE ALS GWAS Consortium,·van den Berg, L. H.·Veldink, J. H.·McLaughlin, R. L.
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Abstract

We studied fine-grained population genetic structure and demographic change across the Netherlands using genome-wide single nucleotide polymorphism data (1,626 individuals) with associated geography (1,422 individuals). We applied ChromoPainter/fineSTRUCTURE, identifying 40 haplotypic clusters exhibiting strong north/south variation and fine-scale differentiation within provinces. Clustering is tied to country-wide ancestry gradients from neighbouring lands and to locally restricted gene flow across major Dutch rivers. Despite superexponential population growth, north-south structure is temporally stable, with west-east differentiation more transient, potentially influenced by migrations during the middle ages. Within Dutch and international data, GWAS incorporating fine-grained haplotypic covariates are less confounded than standard methods.

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Byrne, R. P., van Rheenen, W., Project MinE ALS GWAS Consortium,, van den Berg, L. H., Veldink, J. H., McLaughlin, R. L.. 2020-01-02. Dutch population structure across space, time and GWAS design. https://doi.org/10.1101/2020.01.01.892513

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