{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:27:06Z","timestamp":1740104826630,"version":"3.37.3"},"reference-count":34,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Intramural grants from the Korea National Institute of Health","award":["2016-NI73001-00","2016-NI73005-00","2017-NI73001-00"],"award-info":[{"award-number":["2016-NI73001-00","2016-NI73005-00","2017-NI73001-00"]}]},{"name":"National Biobank of Korea and the Center for Disease Control and Prevention, Republic of Korea"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Genetic Epidemiology"],"published-print":{"date-parts":[[2019,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Lipid levels in blood are widely used to diagnose and monitor chronic diseases. It is essential to identify the genetic traits involved in lipid metabolism for understanding chronic diseases. However, the influence of genetic traits varies depending on race, sex, age, and ethnicity. Therefore, research focusing on populations of individual countries is required, and the results can be used as a basis for comparison of results of other studies at the cross\u2010racial and cross\u2010country levels. In the present study, we selected lipid\u2010related variants and evaluated their effects on lipid\u2010related diseases in more than 14,000 subjects of three cohorts using the Illumina Human Exome Beadchip. A genome\u2010wide association study was conducted using EPACTs after adjusting for age, sex, and recruitment area. A genome\u2010wide significance cutoff was defined as <jats:italic>p\u2009<\/jats:italic>&lt;\u20095E\u221208 in all the three cohorts. Sixteen variants represented the lipid traits and were classified as vulnerable to borderline hypertriglyceridemia, hyper\u2010LDL\u2010cholesterolemia, or hypo\u2010HDL\u2010cholesterolemia. Moreover, we compared the genetic effects of the 16 variants between ethnic groups and identified the missense variants in apolipoprotein A\u2010V, cholesterol ester transfer protein, and apolipoprotein E as Asian\u2010specific. Our study provides candidate genes as markers for chronic diseases through the evaluation of genetic effects.<\/jats:p>","DOI":"10.1002\/gepi.22208","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T03:54:14Z","timestamp":1557806054000},"page":"617-628","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Exome chip\u2010driven association study of lipidemia in &gt;14,000 Koreans and evaluation of genetic effect on identified variants between different ethnic groups"],"prefix":"10.1002","volume":"43","author":[{"given":"Sohee","family":"Han","sequence":"first","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mi Yeong","family":"Hwang","sequence":"additional","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyungheon","family":"Yoon","sequence":"additional","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun Kyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Young\u2010Jin","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bong\u2010Jo","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5987-9505","authenticated-orcid":false,"given":"Sanghoon","family":"Moon","sequence":"additional","affiliation":[{"name":"Division of Genome Research, Center for Genome Science National Institute of Health, Osong Health Technology Administration Complex  Cheongju\u2010si Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_2_7_1_2_1","unstructured":"Academies N.(2004).3 Genetic Influences. 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