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Disease clusters subsequent to anxiety and stress-related disorders and their genetic determinants

Xin Han, Qing Shen, Can Hou, Huazhen Yang, Wenwen Chen, Yu Zeng, Yuanyuan Qu, Chen Suo, Weimin Ye, Fang Fang, Unnur Valdimarsdóttir, Huan Song

2024Nature Communications21 citationsDOIOpen Access PDF

Abstract

Anxiety/stress-related disorders have been associated with multiple diseases, whereas a comprehensive assessment of the structure and interplay of subsequent associated diseases and their genetic underpinnings is lacking. Here, we first identify 136, out of 454 tested, medical conditions associated with incident anxiety/stress-related disorders attended in specialized care using a population-based cohort from the nationwide Swedish Patient Register, comprising 70,026 patients with anxiety/stress-related disorders and 1:10 birth year- and sex-matched unaffected individuals. By combining findings from the comorbidity network and disease trajectory analyses, we identify five robust disease clusters to be associated with a prior diagnosis of anxiety/stress-related disorders, featured by predominance of psychiatric disorders, eye diseases, ear diseases, cardiovascular diseases, and skin and genitourinary diseases. These five clusters and their featured diseases are largely validated in the UK Biobank. GWAS analyses based on the UK Biobank identify 3, 33, 40, 4, and 16 significantly independent single nucleotide polymorphisms for the link to the five disease clusters, respectively, which are mapped to several distinct risk genes and biological pathways. These findings motivate further mechanistic explorations and aid early risk assessment for cluster-based disease prevention among patients with newly diagnosed anxiety/stress-related disorders in specialized care.

Topics & Concepts

AnxietyComorbidityBiobankDiseaseMedicinePopulationGenome-wide association studyCohortPsychiatryClinical psychologySingle-nucleotide polymorphismBioinformaticsBiologyGeneticsInternal medicineGenotypeEnvironmental healthGeneGenetic Associations and EpidemiologyTryptophan and brain disordersBioinformatics and Genomic Networks