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Seunggeun Lee

As seen in: Nature, medRxiv
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Articles

Integrative genomic analysis of 21 orofacial diseases identifies shared genetic architecture with systemic diseases

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By Kisung Nam, June Kim, Jeong-Min Lee, Kyeongho Lee, Jae-Kook Cha, Jin Kim, Seunggeun Lee, Sung-Jin Kim, Byeong Soo Eom, Moon Geon Lee
| Nature Verified
Abstract Orofacial diseases are closely linked to systemic health, yet their genetic architecture and causal relationships remain incompletely understood. Here we show that integrative genomic analyses of 21 orofacial diseases in the UK Biobank, combining genome-wide, transcriptome-wide, rare variant association studies and Mendelian randomization, identify 48 novel loci and prioritize 160 putative causal genes.
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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits - Nature Communications

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By Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue
| Nature Verified
Abstract Sample relatedness is a major confounder in genome-wide association studies (GWAS), potentially leading to inflated type I error rates if not appropriately controlled. A common strategy is to incorporate a random effect related to genetic relatedness matrix (GRM) into regression models. However, this approach is challenging for large-scale GWAS of complex traits, such as longitudinal traits.
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ENCODE guided WGS analysis can identify trait associated regulatory regions driven by rare-variants

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By Jack Flanagan, Kisung Nam, Seunggeun Lee
| medRxiv
The authors have declared no competing interest. This research was supported by the Brain Pool Plus (BP+) Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (2020H1D3A2A03100666). This research was conducted using the UKBB Resource under application number 45227. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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