Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Jisu, Shin"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Cross-ancestry genetic correlation can reveal differences in the genetic basis of traits between populations, but methods can be biased by ancestry-specific genetic architecture. Here, the authors present a method to for estimating cross-ancestry gen
Externí odkaz:
https://doaj.org/article/bae8527bb09b4a59b66c91fd07e358de
Autor:
Hee Yang Lee, Soljee Yoon, Jeong Hwa Lee, Keunwan Park, Youngeun Jung, Illhwan Cho, Donghee Lee, Jisu Shin, Kyeonghwan Kim, Sunmi Kim, Jimin Kim, Koeun Kim, Seung Hoon Han, Seong Muk Kim, Hye Ju Kim, Hye Yun Kim, Ikyon Kim, Young Soo Kim
Publikováno v:
Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-19 (2022)
Abstract Background Aggregated amyloid-β (Aβ) is considered a pathogenic initiator of Alzheimer’s disease (AD), in strong association with tau hyperphosphorylation, neuroinflammation, synaptic dysfunction, and cognitive decline. As the removal of
Externí odkaz:
https://doaj.org/article/4e33b2fd1a2542f2aa38952a5a6ba0d5
Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology
Autor:
Muktar Ahmed, Ville-Petteri Mäkinen, Anwar Mulugeta, Jisu Shin, Terry Boyle, Elina Hyppönen, Sang Hong Lee
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-14 (2022)
Analysis of data from the UK Biobank considering multiple hormone-sensitive cancers as a single disease suggests substantial SNP-based heritability, identifying 55 variants with genome-wide significance.
Externí odkaz:
https://doaj.org/article/80f41cd6339c4a8f9f4b4b60ec9b1600
Autor:
Jisu Shin, Sang Hong Lee
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Genetic variation in response to the environment, that is, genotype-by-environment interaction (GxE), is fundamental in the biology of complex traits and diseases. However, existing methods are computationally demanding and infeasible to han
Externí odkaz:
https://doaj.org/article/7f90e50b14f8451ca9856a55ccfbf4f4
Autor:
Sohui Park, Hye Yun Kim, Hyun-A Oh, Jisu Shin, In Wook Park, Soljee Yoon, Dong Ho Woo, YoungSoo Kim
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Alzheimer’s disease (AD) is the most common type of dementia characterized by the abnormal accumulation of amyloid-β (Aβ) in the brain. Aβ misfolding is associated with neuroinflammation and synaptic dysfunction, leading to learning and
Externí odkaz:
https://doaj.org/article/29018fb8699a4f919b6073af5edefb14
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Transgenic mouse models recapitulating Alzheimer’s disease (AD) pathology are pivotal in molecular studies and drug evaluation. In transgenic models selectively expressing amyloid-β (Aβ), thioflavin S (ThS), a fluorescent dye with β-she
Externí odkaz:
https://doaj.org/article/073d2e0d12c540438baa3811b24e8884
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Metabolic syndrome is a group of heritable metabolic traits that are highly associated with type 2 diabetes (T2DM). Classical interventions to T2DM include individual self-management of environmental risk factors, such as improving diet quality, incr
Externí odkaz:
https://doaj.org/article/b28ab65e04af466cae1e549156d5738e
Autor:
Buu Truong, Xuan Zhou, Jisu Shin, Jiuyong Li, Julius H. J. van der Werf, Thuc D. Le, S. Hong Lee
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Genetic data from large cohorts of unrelated individuals can be used to create polygenic risk scores, which could be used to predict individual risk of developing a specific disease. Here the authors show that smaller cohorts of related individuals c
Externí odkaz:
https://doaj.org/article/08755dc1466a43b28f5affeeb522ac79
Autor:
DaWon Kim, Jeong Hwa Lee, Hye Yun Kim, Jisu Shin, Kyeonghwan Kim, Sejin Lee, Jinwoo Park, Ikyon Kim, YoungSoo Kim
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0250194 (2021)
[This corrects the article DOI: 10.1371/journal.pone.0243041.].
Externí odkaz:
https://doaj.org/article/f6f9933df90d4fdd9d969875cb9151e8
Publikováno v:
Journal of KIISE. 49:948-957