Get €500 (or $500) on your prepaid balance! Use it for premium subscriptions or job postings. Read more Close

Spousal correlations for nine psychiatric disorders are consistent across cultures and persistent over generations.

Created on 29 Aug 2025

Authors

Chun Chieh Fan, Saeid Rasekhi Dehkordi, Richard Border, Lucy Shao, Bohan Xu, Robert Loughnan, Wesley K Thompson, Le-Yin Hsu, Mei-Chen Lin, Chi-Fung Cheng, Rou-Yi Lai, Mei-Hsin Su, Wei-Yi Kao, Thomas Werge, Chi-Shin Wu, Andrew J Schork, Noah Zaitlen, Alfonso Buil Demur, Shi-Heng Wang

Published in

Nature human behaviour. Aug 28, 2025. Epub Aug 28, 2025.

Abstract

Trait similarities between spouses are a key factor that shapes the landscape of complex human traits. The driving force behind the spousal correlations can increase the overall prevalence of disorders, influence occurrences of comorbidities and bias estimations of genetic architectures. However, there is a lack of large-scale studies examining cultural differences and generational trends in spousal correlations for psychiatric disorders. Focusing on three national registries, we performed a large-scale analysis on spousal correlations across nine psychiatric disorders. We obtained the trait correlations from five million spousal pairs in Taiwan and then compared them with estimates from the Danish national registry (571,534 pairs) and with published results from the Swedish national registry (707,263 pairs). Generational changes in Taiwan for people born after the 1930s were investigated as well. We found that a majority of psychiatric disorders have consistent spousal correlations across nations and over generations, indicating their importance in the population dynamics of psychiatric disorders.

PMID:
40877398
Bibliographic data and abstract were imported from PubMed on 29 Aug 2025.

Read full publication at:
Please sign in to see all details.

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 97
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Loading ad...