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Prediction of type 2 diabetes by metabolite– genome–wide association study (mGWAS) using bas eline–category logit model in the Korea Association REsource (KARE) cohort
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 최성경 | - |
| dc.date.accessioned | 2024-07-07T07:01:37Z | - |
| dc.date.available | 2024-07-07T07:01:37Z | - |
| dc.date.issued | 2023-10-12 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119782 | - |
| dc.title | Prediction of type 2 diabetes by metabolite– genome–wide association study (mGWAS) using bas eline–category logit model in the Korea Association REsource (KARE) cohort | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 2023 제32회 한국유전체학회 정기학술대회 | - |
| dc.citation.conferencePlace | 가톨릭대학교 성의교정 | - |
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