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

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.
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…
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Taxonomy
TopicsSchizophrenia research and treatment · Mental Health Treatment and Access · Genetic Associations and Epidemiology
