| Literature DB >> 25586092 |
Chunsheng Xu1, Jianping Sun2, Fuling Ji2, Xiaocao Tian2, Haiping Duan2, Yaoming Zhai2, Shaojie Wang2, Zengchang Pang1, Dongfeng Zhang3, Zhongtang Zhao1, Shuxia Li4, Jacob V B Hjelmborg5, Kaare Christensen4, Qihua Tan4.
Abstract
The genetic influences on aging-related phenotypes, including cognition and depression, have been well confirmed in the Western populations. We performed the first twin-based analysis on cognitive performance, memory and depression status in middle-aged and elderly Chinese twins, representing the world's largest and most rapidly aging population. The sample consisted of 384 twin pairs with a median age of 50 years. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) scale; memory was assessed using the revised Wechsler Adult Intelligence scale; depression symptomatology was evaluated by the self-reported 30-item Geriatric Depression (GDS-30)scale. Both univariate and multivariate twin models were fitted to the three phenotypes with full and nested models and compared to select the best fitting models. Univariate analysis showed moderate-to-high genetic influences with heritability 0.44 for cognition and 0.56 for memory. Multivariate analysis by the reduced Cholesky model estimated significant genetic (rG = 0.69) and unique environmental (rE = 0.25) correlation between cognitive ability and memory. The model also estimated weak but significant inverse genetic correlation for depression with cognition (-0.31) and memory (-0.28). No significant unique environmental correlation was found for depression with other two phenotypes. In conclusion, there can be a common genetic architecture for cognitive ability and memory that weakly correlates with depression symptomatology, but in the opposite direction.Entities:
Keywords: twin model
Mesh:
Year: 2015 PMID: 25586092 DOI: 10.1017/thg.2014.76
Source DB: PubMed Journal: Twin Res Hum Genet ISSN: 1832-4274 Impact factor: 1.587