4.6 Article

Association between genetic predisposition and disease burden of stroke in China: a genetic epidemiological study

Journal

LANCET REGIONAL HEALTH-WESTERN PACIFIC
Volume 36, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.lanwpc.2023.100779

Keywords

Stroke; Genetic risk; Disease burden; Geographical variation; China

Ask authors/readers for more resources

This study used whole genome sequencing data and polygenic risk score models to estimate the genetic predisposition of stroke in the Chinese population and its association with disease burden. The results showed a north-south gradient in the genetic predisposition to stroke in China, and a strong correlation with blood pressure, body mass index, and alcohol use. Genetic risk accounted for an independent effect of 1-6% on stroke mortality, disability-adjusted life years, and years of life lost.
Background Stroke ranks second worldwide and first in China as a leading cause of death and disability. It has a polygenic architecture and is influenced by environmental and lifestyle factors. However, it remains unknown as to whether and how much the genetic predisposition of stroke is associated with disease burden. Methods Allele frequency from the whole genome sequencing data in the Chinese Millionome Database of 141,418 individuals and trait-specific polygenic risk score models were applied to estimate the provincial genetic predisposition to stroke, stroke-related risk factors and stroke-related drug response. Disease burden including mortality, disability-adjusted life years (DALYs), years of life lost(YLLs), years lived with disability (YLDs) and prevalence in China was collected from the Global Burden Disease study. The association between stroke genetic predisposition and the epidemiological burden was assessed and then quantified in both regression-based models and machine learning-based models at a provincial resolution. Findings Among the 30 administrative divisions in China, the genetic predisposition of stroke was characterized by a north-higher-than-south gradient (p < 0.0001). Genetic predisposition to stroke, blood pressure, body mass index, and alcohol use were strongly intercorrelated (rho >0.6; p < 0.05 after Bonferroni correction for each comparison). Genetic risk imposed an independent effect of approximately 1-6% on mortality, DALYs and YLLs. Interpretation The distribution pattern of stroke genetic predisposition is different at a macroscopic level, and it subtly but significantly impacts the epidemiological burden. Further research is warranted to identify the detailed aetiology and potential translation into public health measures.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available