TY - JOUR
T1 - Whole exome sequencing identified six novel genes for depressive symptoms
AU - Li, Ze Yu
AU - Fei, Chen Jie
AU - Yin, Rui Ying
AU - Kang, Ju Jiao
AU - Ma, Qing
AU - He, Xiao Yu
AU - Wu, Xin Rui
AU - Zhao, Yu Jie
AU - Zhang, Wei
AU - Liu, Wei Shi
AU - Wu, Bang Sheng
AU - Yang, Liu
AU - Zhu, Ying
AU - Feng, Jian Feng
AU - Yu, Jin Tai
AU - Cheng, Wei
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.
PY - 2025/5
Y1 - 2025/5
N2 - Previous genome-wide association studies of depression have primarily focused on common variants, limiting our comprehensive understanding of the genetic architecture. In contrast, whole–exome sequencing can capture rare coding variants, helping to explore the phenotypic consequences of altering protein-coding genes. Here, we conducted a large-scale exome-wide association study on 296,199 participants from the UK Biobank, assessing their depressive symptom scores through the Patient Health Questionnaire-4. We identified 22 genes associated with depressive symptoms, including 6 newly discovered genes (TRIM27, UBD, SVOP, ADGRB2, IRF2BPL, and ANKRD12). Both ontology enrichment analysis and plasma proteomics association analysis consistently revealed that the identified genes were associated with immune responses. Furthermore, we identified associations between these genes and brain regions related to depression, such as anterior cingulate cortex and orbitofrontal cortex. Additionally, phenome-wide association analysis demonstrated that TRIM27 and UBD were associated with neuropsychiatric, cognitive, biochemistry, and inflammatory traits. Our findings offer new insights into the potential mechanisms and genetic architecture of depressive symptoms.
AB - Previous genome-wide association studies of depression have primarily focused on common variants, limiting our comprehensive understanding of the genetic architecture. In contrast, whole–exome sequencing can capture rare coding variants, helping to explore the phenotypic consequences of altering protein-coding genes. Here, we conducted a large-scale exome-wide association study on 296,199 participants from the UK Biobank, assessing their depressive symptom scores through the Patient Health Questionnaire-4. We identified 22 genes associated with depressive symptoms, including 6 newly discovered genes (TRIM27, UBD, SVOP, ADGRB2, IRF2BPL, and ANKRD12). Both ontology enrichment analysis and plasma proteomics association analysis consistently revealed that the identified genes were associated with immune responses. Furthermore, we identified associations between these genes and brain regions related to depression, such as anterior cingulate cortex and orbitofrontal cortex. Additionally, phenome-wide association analysis demonstrated that TRIM27 and UBD were associated with neuropsychiatric, cognitive, biochemistry, and inflammatory traits. Our findings offer new insights into the potential mechanisms and genetic architecture of depressive symptoms.
UR - https://www.scopus.com/pages/publications/85207926786
U2 - 10.1038/s41380-024-02804-1
DO - 10.1038/s41380-024-02804-1
M3 - 文章
C2 - 39472661
AN - SCOPUS:85207926786
SN - 1359-4184
VL - 30
SP - 1925
EP - 1936
JO - Molecular Psychiatry
JF - Molecular Psychiatry
IS - 5
M1 - 14
ER -