# Phenome-Wide Associations of Polygenic Scores for Schizophrenia and Major Depression in 100,000 Chinese Adults

**Authors:** Baihan Wang, Sam Morris, Hannah Fry, Andri Iona, Jonathan Clarke, Kuang Lin, Igor Pupko, Christiana Kartsonaki, Derrick A. Bennett, Yiping Chen, Huaidong Du, Ling Yang, Daniel Avery, Dan Schmidt-Valle, Shixian Feng, Dianjianyi Sun, Canqing Yu, Jun Lv, Pei Pei, Junshi Chen, Karoline Kuchenbaecker, Naomi R. Wray, Liming Li, Robin G. Walters, Zhengming Chen, Iona Y. Millwood

PMC · DOI: 10.1016/j.bpsgos.2025.100681 · 2025-12-22

## TL;DR

This study finds that genetic risk for schizophrenia and depression in Chinese adults is linked to lower smoking and BMI, contrasting with Western populations, possibly due to sociocultural differences.

## Contribution

The study reveals context-specific genetic associations of mental disorders with lifestyle traits in a large Chinese cohort, highlighting sociocultural influences.

## Key findings

- High schizophrenia polygenic scores in Chinese adults were associated with lower smoking initiation.
- High depression polygenic scores were linked to lower body mass index in Chinese adults.
- Genetic correlations between mental disorders and traits differ between East Asian and European populations.

## Abstract

China faces significant mental health challenges, with unique associations between mental disorders and other traits observed in its population.

Based on summary statistics of existing genome-wide association studies in East Asian ancestry (EAS) and European ancestry (EUR) populations, we tested the associations of polygenic scores (PGSs) for schizophrenia (SCZ) and major depression (MD) with 254 phenotypes in 100,640 Chinese adults. We also conducted genetic correlation and Mendelian randomization analyses to assess the consistency of these associations across ancestries and infer causality.

The PGSs predicted SCZ (R2 = 2.63%–3.07%) and MD (R2 = 0.21%–0.71%) and were associated with various sociodemographic, lifestyle, and physical factors. Interestingly, based on summary statistics in the EAS population, the schizophrenia PGS was inversely associated with smoking initiation, and the MD PGS was inversely associated with body mass index. Across populations, opposing genetic correlations were observed between smoking initiation and SCZ (inverse in the EAS population, positive in the EUR population) and between body mass index and MD (inverse in the EAS population, positive in the EUR population). Univariable Mendelian randomization supported the causality of these relationships in the EUR population, but multivariable analyses suggested that pleiotropic effects on other related traits (e.g., cannabis use, unhealthy lifestyle) might have influenced the associations.

Our study suggests the context specificity of relationships between mental disorders and other traits, highlighting a potential role of sociocultural factors.

The presentation of mental disorders in China can be distinct from that in other populations. Here, we calculated scores that indicate an individual’s genetic risk for schizophrenia and depression for ∼100,000 Chinese adults. We found that in China, people with a high schizophrenia score were less likely to smoke, and people with a high depression score had a lower BMI. These results contrast with findings in Western populations, possibly due to differences in sociocultural factors.

The presentation of mental disorders in China can be distinct from that in other populations. Here, we calculated scores that indicate an individual’s genetic risk for schizophrenia and depression for ∼100,000 Chinese adults. We found that in China, people with a high schizophrenia score were less likely to smoke, and people with a high depression score had a lower BMI. These results contrast with findings in Western populations, possibly due to differences in sociocultural factors.

## Linked entities

- **Diseases:** schizophrenia (MONDO:0005090), major depression (MONDO:0002009)

## Full-text entities

- **Diseases:** MD (MESH:D003865), SCZ (MESH:D012559), mental disorders (MESH:D001523)

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12907099/full.md

---
Source: https://tomesphere.com/paper/PMC12907099