Evidence map›Paper›PMID 39697868›Full record

ArticleBioinformatics advances2024

KTED: a comprehensive web-based database for transposable elements in the Korean genome.

Jin-Ok Lee, Sejoon Lee, Dongyoon Lee, Taeyeon Hwang, Soobok Joe, Jin Ok Yang, Jibin Jeong, Jung Hun Ohn, Jee Hyun Kim

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Article in Bioinformatics advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Jin-Ok LeeDepartment of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 13605, Republic of Korea.ORCID https://orcid.org/0000-0002-3151-9679
Sejoon LeePrecision Medicine Center, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
Dongyoon LeeKorea Bioinformation Center, KRIBB, Daejeon 34141, Republic of Korea.
Taeyeon HwangKorea Bioinformation Center, KRIBB, Daejeon 34141, Republic of Korea.
Soobok JoeKorea Bioinformation Center, KRIBB, Daejeon 34141, Republic of Korea.
Jin Ok YangKorea Bioinformation Center, KRIBB, Daejeon 34141, Republic of Korea.ORCID https://orcid.org/0000-0001-8388-6692
Jibin JeongDepartment of Genomic Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
Jung Hun OhnPrecision Medicine Center, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
Jee Hyun KimDepartment of Genomic Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.ORCID https://orcid.org/0000-0003-1336-3620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Transposable elements (TEs), commonly referred to as "mobile elements," constitute DNA segments capable of relocating within a genome. Initially disregarded as "junk DNA" devoid of specific functionality, it has become evident that TEs have diverse influences on an organism's biology and health. The impact of these elements varies according to their location, classification, and their effects on specific genes or regulatory components. Despite their significant roles, a paucity of resources concerning TEs in population-scale genome sequencing remains. Herein, we analyze whole-genome sequencing data sourced from the Korean Genome and Epidemiology Study, encompassing 2500 Korean individuals. To facilitate convenient data access and observation, we developed a web-based database, KTED. Additionally, we scrutinized the differential distributions of TEs across five distinct common disease groups: dyslipidemia, hypertension, diabetes, thyroid disease, and cancer. Availability and implementation: https://snubh.shinyapps.io/KTED.

Identifiers

PMID39697868
PMCPMC11652267

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.