Prevalence and disease risks for male and female sex chromosome trisomies: a registry-based phenome-wide association study in 1.5 million participants of MVP, FinnGen, and UK Biobank
Davis, S.; Liu, A.; Teerlink, C. C.; Lapato, D. M.; Gorman, B. R.; Genovese, G.; Singh, M.; Reeve, M. P.; Elswick Gentry, A.; Donner, K. M.; Sipila, T. P.; Ghazal, A.; Pagadala, M.; Panizzon, M. S.; Lancaster, E. E.; FinnGen, ; UKB working group, ; Chatzinakos, C.; Ganna, A.; Bigdeli, T.; Daly, M. J.; Lynch, J.; Ross, J. L.; Peterson, R.; Hauger, R. L.
Show abstract
Sex chromosome trisomies (SCT) are the most common whole chromosome aneuploidy in humans. Yet, our understanding of the prevalence and associated health outcomes is largely driven by observational studies of clinically diagnosed cases, resulting in a disproportionate focus on 47,XXY and associated hypogonadism. We analyzed microarray intensity data of sex chromosomes for 1.5 million individuals enrolled in three large cohorts--Million Veteran Program, FinnGen, and UK Biobank--to identify individuals with 47,XXY, 47,XYY, and 47,XXX. We examined disease conditions associated with SCTs by performing phenome-wide association studies (PheWAS) using electronic health records (EHR) data for each cohort, followed by meta-analysis across cohorts. Association results are presented for each SCT and also stratified by presence or absence of a documented clinical diagnosis for 47,XXY. We identified 2,769 individuals with (47,XXY: 1,319; 47,XYY: 1,108; 47,XXX: 342), most of whom had no documented clinical diagnosis (47,XXY: 73.8%; 47,XYY: 98.6%; 47,XXX: 93.6%). The identified phenotypic associations with SCT spanned all PheWAS disease categories except neoplasms. Many associations are shared among three SCT subtypes, particularly for vascular diseases (e.g., chronic venous insufficiency (OR [95% CI] for 47,XXY 4.7 [3.9,5.8]; 47,XYY 5.6 [4.5,7.0]; 4 7,XXX 4.6 [2.7,7.6], venous thromboembolism (47,XXY 4.6 [3.7-5.6]; 47,XYY 4.1 [3.3-5.0]; 47,XXX 8.1 [4.2-15.4]), and glaucoma (47,XXY 2.5 [2.1-2.9]; 47,XYY 2.4 [2.0-2.8]; 47,XXX 2.3 [1.4-3.5]). A third sex chromosome confers an increased risk for systemic comorbidities, even if the SCT is not documented. SCT phenotypes largely overlap, suggesting one or more X/Y homolog genes may underlie pathophysiology and comorbidities across SCTs.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Returning Actionable Genomic Results in a Research Biobank: Analytic Validity, Clinical Implementation and Resource Utilization 92%
- Genome Sequencing and Comprehensive Rare Variant Analysis of 465 Families with Neurodevelopmental Disorders 92%
- Genetic risk estimates for offspring of patients with Stargardt disease 91%
Similar papers in this journal
- Recognizing the Evolution of Clinical Syndrome Spectrum Progression in Individuals with Single Large-Scale mitochondrial DNA deletion syndromes (SLSMDS) 94%
- COVID-19 in people with neurofibromatosis 1, neurofibromatosis 2, or schwannomatosis 92%
- The Australian Genomics Mitochondrial Flagship: A National Program Delivering Mitochondrial Diagnoses 92%
Similar papers in this journal
- Identification and validation of novel candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas 91%
- Genetic analyses of inflammatory polyneuropathy and chronic inflammatory demyelinating polyradiculoneuropathy identified candidate genes 91%
- Somatic activating BRAF variants cause isolated lymphatic malformations 90%
Similar papers in this journal
- A genome-wide association analysis of loss of ambulation in dystrophinopathy patients suggests multiple candidate modifiers of disease severity 92%
- BCL11A intellectual developmental disorder: defining the clinical spectrum and genotype-phenotype correlations 91%
- Polycomb-associated and Trithorax-associated developmental conditions – phenotypic convergence and heterogeneity 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.