Investigating the Y chromosome in complex disease: Phenome-wide scan across 104,334 Finnish men

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Abstract

Although the Y chromosome represents roughly 2% of the male genome, it is often ignored in genome-wide association studies (GWAS). Subsequently, the potential health impacts of Y-chromosomal genetic variation remain incompletely understood. To fill this gap, we performed a phenome-wide association study (PheWAS) in FinnGen across 1,426 binary and quantitative traits using Y-chromosomal variation (frequency ≥ 1%) in 104,334 genotyped men. As Y chromosome variation is prone to population stratification, we performed carefully adjusted association analyses and further examined these through kin-based validation in 19,275 female and 24,712 male 1 st degree relatives. We found 121 suggestive (p < 5.6x10 -3 ) phenotypic associations in the Y chromosome, yet none of these were strong enough to reach phenome-wide significance (p < 3.9x10 -6 ). While only 38 associations were supported in the kin-based validation, intriguingly we found support for a previously suggested link between haplogroup I1 and coronary heart disease (CHD; OR=1.06, 95%CI=1.02-1.11, p=3.7x10 -3 ; male validation OR=1.05; female validation OR=0.97). The I1-CHD association was detected across distinct geographical areas within Finland and was independent from Loss of Y (LOY) and the autosomal risk to CHD, proposing a link between germline Y-chromosomal variation and heart disease risk. Overall, this study presents a comprehensive phenome-wide analysis of Y-chromosomal associations, highlighting the potential relevance of Y-chromosomal variation beyond sex determination. Our findings further emphasize the need for improved capture of Y-chromosomal variants and further analyses in biobank-scale data to allow for deeper exploration of male-specific genetic architecture of complex diseases.

GRAPHICAL ABSTRACT

Graphical Abstract) Overview of the study. Using a dataset of 104,334 unrelated genotyped Finnish men we performed a PheWAS across 1,426 binary and quantitative traits and common Y-chromosomal variation (MAF ≥ 1%), adjusting for geographical confounding factors known to vary within the population. To confirm suggestive associations identified in the PheWAS, we performed kin-based validation to infer whether the association is likely linked to the Y chromosome, using the samples’ 1st degree male (positive control) and 1st degree female (negative control) relatives’ phenotype data.

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