人口
医学
疾病
疾病负担
疾病负担
可归因风险
环境卫生
人口学
作者
Sakari Jukarainen,Tuomo Kiiskinen,Aki S. Havulinna,Juha Karjalainen,Mattia Cordioli,Joel T Ramo,Nina Mars,Kaitlin E Samocha,Hanna M Ollila,Matti Pirinen,Andrea Ganna
标识
DOI:10.1101/2022.01.25.22269831
摘要
Abstract The impact of genetic variation on overall disease burden has not been comprehensively evaluated. Here we introduce an approach to estimate the effect of different types of genetic risk factors on disease burden quantified through disability-adjusted life years (DALYs, “lost healthy life years”). We use genetic information from 735,748 individuals with registry-based follow-up of up to 48 years. At the individual level, rare variants had higher effects on DALYs than common variants, while common variants were more relevant for population-level disease burden. Among common variants, rs3798220 ( LPA ) had the strongest effect, with 1.18 DALYs attributable to carrying 1 vs 0 copies of the minor allele. Belonging to top 10% vs bottom 90% of a polygenic score for multisite chronic pain had an effect of 3.63 DALYs. Carrying a deleterious rare variant in LDLR , MYBPC3 , or BRCA1 / 2 had an effect of around 4.1-13.1 DALYs. The population-level disease burden attributable to some common variants is comparable to the burden from modifiable risk factors such as high sodium intake and low physical activity. Genetic risk factors can explain a sizeable number of healthy life years lost both at the individual and population level, highlighting the importance of incorporating genetic information into public health efforts. Results of the study can be explored at: https://dsge-lab.shinyapps.io/daly_genetics/
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