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Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data
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Hae Dong Woo, Dae Sub Song, Sun Ho Choi, Jae Kyung Park, Kyoungho Lee, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Hyun-Young Park
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Epidemiol Health. 2022;44:e2022071. Published online September 7, 2022
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DOI: https://doi.org/10.4178/epih.e2022071
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Abstract
Public concern about the adverse health effects of air pollution has grown rapidly in Korea, and there has been increasing demand for research on ways to minimize the health effects of air pollution. Integrating large epidemiological data and air pollution exposure levels can provide a data infrastructure for studying ambient air pollution and its health effects. The Korean Genome and Epidemiology Study (KoGES), a large population-based study, has been used in many epidemiological studies of chronic diseases. Therefore, KoGES cohort data were linked to air pollution data as a national resource for air pollution studies. Air pollution data were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modeled air pollution data were linked to the KoGES cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables). As the integrated data become available to all researchers, this resource is expected to serve as a useful infrastructure for research on the health effects of air pollution.
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Summary
Korean summary
대기오염이 건강에 미치는 정도를 파악하고 이를 최소화하는 과학적 근거 생산 마련을 위하여 한국인유전체역학조사사업(KoGES) 자료와 대기오염 및 기상 자료를 연계하여 연구 기반을 마련하고자 하였다.
배출량, 기상자료 및 공기의 확산 등을 고려하는 화학수송모델(CMAQ)을 통하여 2005년에서 2017년 사이의 대기오염 및 기상자료를 예측하였으며, 이후 관측소 자료 및 인공위성자료인 에어로졸 광화학두께(AOD)를 추가 적용하여 최종 생산하였다. 미세먼지 자료는 1 km 격자로 기체상 오염물질 및 기상 자료는 9 km 격자 단위로 구성되었다.
생산된 자료는 KoGES 참여자의 주소를 기반으로 연계하여 최종 KoGES-대기오염 연계DB를 구축하였으며, 구축된 자료를 이용하여 KoGES 참여자의 대기오염 노출 수준을 공간적 시간적 분포로 살펴보았다.
구축된 자료는 내외부 연구자에게 공개가 되고 있어 대기오염에 의한 건강영향평가 및 피해를 최소화하는 방안 마련 연구를 위한 좋은 기반 자료가 될 것으로 기대된다.
Key Message
The Korean Genome and Epidemiology Study (KoGES) cohort were linked to air pollution data as a national resource for studying air pollution and its health effect. Air pollution data (2005~2017) were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modelled air pollution data were linked to the cohort based on participants’ geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables).
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Citations
Citations to this article as recorded by  - Association between short-term exposure to ambient air pollutants and biomarkers indicative of inflammation and oxidative stress: a cross-sectional study using KoGES-HEXA data
Ji Hyun Kim, Hae Dong Woo, Jane J Lee, Dae Sub Song, Kyoungho Lee
Environmental Health and Preventive Medicine.2024; 29: 17. CrossRef - Edible mushroom intake and risk of all-cause and cause-specific mortality: results from the Korean Genome and Epidemiology Study (KoGES) Cohort
Hyein Jung, JiAe Shin, Kyungjoon Lim, Sangah Shin
Food & Function.2023; 14(19): 8829. CrossRef - Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
Sewhan Na, Jong-Tae Park, Seungbeom Kim, Jinwoo Han, Saemi Jung, Kyeongmin Kwak
Annals of Occupational and Environmental Medicine.2023;[Epub] CrossRef
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