Hyun-Seok Jin

Prof. Hyun-Seok Jin

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 December 2004 in Clinical Genetics
Verified
Journal Article
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HPH‐J Park
H‐J Park
SLS‐J Lee
S‐J Lee
HJHyun-Seok Jin
Hyun-Seok Jin
JLJo Lee
Jo Lee
SGS‐H Go
S‐H Go
SKSk Koo
Sk Koo

19 November 2009 in Journal of Human Hypertension
Verified
Journal Article
Closed access
KHK-W Hong
K-W Hong
MGM J Go
M J Go
HJHyun-Seok Jin
Hyun-Seok Jin
JLJ-E Lim
J-E Lim
JLJ-Y Lee
J-Y Lee
BOB Oh
B Oh

23 April 2010 in Journal of Human Genetics
Verified
Journal Article
Closed access
KHKyung-Won Hong
Kyung-Won Hong
HJHyun-Seok Jin
Hyun-Seok Jin
JLJi-Eun Lim
Ji-Eun Lim
SKSangsoo Kim
Sangsoo Kim
MGMin Jin Go
Min Jin Go
BOBermseok Oh
Bermseok Oh

3 May 2017 in Clinical Endocrinology
Verified
Journal Article
Closed access
PDF file
SPSo Young Park
So Young Park
SPSe Eun Park
Se Eun Park
SJSang Won Jung
Sang Won Jung
HJHyun-Seok Jin
Hyun-Seok Jin
IPIe Byung Park
Ie Byung Park
SLSihoon Lee
Sihoon Lee

21 May 2016 in Nutrition & Metabolism
Verified
Journal Article
Open access
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Sunmin ParkSunmin Park
Sunmin Park
JDJames W. Daily
James W. Daily
XZXin Zhang
Xin Zhang
HJHyun-Seok Jin
Hyun-Seok Jin
HLHye Ja Lee
Hye Ja Lee
YLYong Hyun Lee
Yong Hyun Lee
The melanocortin-4 receptor (MC4R) regulates metabolism by modulating eating behavior and MC4R variants (rs17782313 and rs571312) are associated with obesity in Asians and Caucasians. However, the impact of their interactions with nutritional and lifestyle factors on obesity are poorly described. Therefore, we investigated the interaction of MC4R variants and dietary patterns on the risk of obesity in Korean middle-aged adults. Data collected included, genetic variations, anthropometric and biochemical measurements, dietary and lifestyle habits, and food intake. Data were obtained from the 8830 adults aged 40–69 years in the Ansung and Ansan cohort of the Korean Genome Epidemiology Study. The MC4R rs18882313 minor allele had a higher frequency in the obese group (P < 0.01). MC4R genotypes were not associated with differences in daily energy and macronutrient intakes. However, the intakes of processed foods and fat (as percentages of energy) were significantly higher and intake of fruits were significantly lower in subjects with MC4R minor alleles (P < 0.05). Interestingly, there was a positive interaction between MC4R variants and mental stress levels that were associated with the risk of obesity after adjusting for age, gender, residence area, daily energy intake, smoking status and physical activity (interaction P = 0.0384). Only in subjects with high stress were MC4R minor alleles associated with higher BMIs after adjusting for confounders. The association was present without modulating energy and nutrient intake. In the group with energy intakes higher than estimated energy requirement (EER), subjects with MC4R minor alleles had higher BMIs than those with the major alleles (P < 0.001). The interactions of mental stress and energy intakes with the MC4R minor allele genotype might be associated with increased risk of obesity in Korean adults. This research might identify subjects with a specific MC4R minor alleles as a human subset of people with a low metabolic tolerance for excessive energy intake, especially when under stress.

16 May 2006 in Human Mutation
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Journal Article
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KLKwang-Soo Lee
Kwang-Soo Lee
HSHae-Ryong Song
Hae-Ryong Song
TCTae-Joon Cho
Tae-Joon Cho
HKHyon J. Kim
Hyon J. Kim
TLTae-Mi Lee
Tae-Mi Lee
SKSoo Kyung Koo
Soo Kyung Koo
Mutations in the type I collagen genes COL1A1 and COL1A2 are responsible for the dominantly inherited connective tissue disorder osteogenesis imperfecta (OI). The severity of OI is diverse, ranging from perinatal lethality to a very mild phenotype that is characterized by normal stature and the absence of deformities. Although there have been several studies on the mutational spectra of COL1A1 and/or COL1A2 in Western populations, very few cases have been reported from Asia. In this study, we investigated 67 unrelated Korean probands with OI and used nucleotide sequence analysis to detect COL1A1 and COL1A2 mutations. Thirty-five different mutations were identified in the two genes, including 24 novel mutations. Among the 35 kinds of detected mutations, 15 were glycine substitutions (seven in COL1A1 and eight in COL1A2), one was a nonsense mutation, four were frameshift mutations in COL1A1, three were in-frame duplications in COL1A2, and 12 were splice site mutations (seven in COL1A1 and five in COL1A2). Until now, mutations in the COL1A1 and COL1A2 genes known to cause OI were unique and rarely repeated in other families. Interestingly, the c.982G>A (p.Gly328Ser) mutation in COL1A2 was found recurrently and was the causative mutation in five independent OI probands. Haplotype analysis of the COL1A2 gene revealed that four probands from five independent OI probands with c.982G>A (p.Gly328Ser) had a common haplotype. Our clinical data showed the heterogeneity even within a specific genotype, which suggested the complex expression of this disease.