KYUNG SUN PARK

Dr. KYUNG SUN PARK

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 June 2021 in Molecular Genetics and Metabolism Reports
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Journal Article
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KPKYUNG SUN PARK
KYUNG SUN PARK
The genetic prevalence of Pompe disease was estimated based on the proportion of individuals who have a causative genotype in a general population database. In addition, clinical severity for causative genotypes was assessed based on currently available locus-specific databases (LSDBs), which contain information on both genotype and clinical severity. Genetic variants in the GAA gene in the Genome Aggregation Database (gnomAD) (v2.1.1) were analyzed in combination with LSDBs of ClinVar, ClinGen Evidence Repository, Pompe disease GAA variant database, and the Pompe Registry. Carrier frequency (CF) and predicted genetic prevalence (pGP) were estimated. Of 7 populations, East Asian and African showed higher proportions of pathogenic or likely pathogenic variants (PLPVs) associated with classic infantile-onset Pompe disease. Total CF and pGP in the overall population were 1.3% (1 in 77) and 1:23,232, respectively. The highest pGP was observed in the East Asian population at 1:12,125, followed by Non-Finnish European (1:13,756), Ashkenazi Jewish (1:22,851), African/African-American (1:26,560), Latino/Admixed American (1:57,620), South Asian (1:93,087), and Finnish (1:1,056,444). Pompe disease has a higher pGP (1:23,232) than earlier accepted (1:40,000). The pGP for Pompe disease was expectedly wide by population and consistent with previous reports based on newborn screening programs (approximately 1:10,000–1:30,000).


4 June 2021 in Genes
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KPKYUNG SUN PARK
KYUNG SUN PARK
To assess how genomic information of the general population reflects probabilities of developing diseases and the differences in those probabilities among ethnic groups, a general population database was analyzed with an example of congenital hypothyroidism. Twelve candidate genes that follow an autosomal recessive inheritance pattern in congenital hypothyroidism (SLC5A5, TPO, TG, IYD, DUOXA2, DUOX2, TSHR, SLC26A7, GLIS3, FOXE1, TSHB, TRHR) in the gnomAD database (v2.1.1) were analyzed. The carrier frequency (CF) and predicted genetic prevalence (pGP) were estimated. The total CF in the overall population was 3.6%. DUOX2 showed the highest CF (1.8%), followed by TG (0.46%), TPO (0.44%), TSHR (0.31%), SLC26A7 (0.144%), DUOXA2 (0.141%), IYD (0.08%), SLC5A5 (0.06%), TRHR (0.059%), GLIS3 (0.059%), TSHB (0.04%), and FOXE1 (0%). The pGP in the overall population was 10.01 individuals per 100,000 births (1:9992). The highest pGP was in the East Asian population at 52.48 per 100,000 births (1:1905), followed by Finnish (35.96), Non-Finnish European (9.56), African/African American (4.0), Latino/Admixed American (3.89), South Asian (3.56), and Ashkenazi Jewish (1.81) groups. Comparing the pGP with the real incidence of congenital hypothyroidism, the pGP in East Asian populations was highly consistent with the real incidence.

20 February 2014 in Diagnostic Microbiology and Infectious Disease
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HHHee Jae Huh
Hee Jae Huh
KPKYUNG SUN PARK
KYUNG SUN PARK
JKJi-Youn Kim
Ji-Youn Kim
HKHyeon Jeong Kwon
Hyeon Jeong Kwon
JKJong-Won Kim
Jong-Won Kim
NLNam Yong Lee
Nam Yong Lee

1 January 2013 in The Korean Journal of Physiology & Pharmacology
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KPKYUNG SUN PARK
KYUNG SUN PARK
MHMin Ho Han
Min Ho Han
HJHee Kyung Jang
Hee Kyung Jang
KKKyung-A Kim
Kyung-A Kim
ECEun-Jong Cha
Eun-Jong Cha
YKYangmi Kim
Yangmi Kim
Park KS, et al. Korean J Physiol Pharmacol. 2013 Dec;17(6):511-516. http://dx.doi.org/10.4196/kjpp.2013.17.6.511

2 May 2021 in Cancers
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Journal Article
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KPKYUNG SUN PARK
KYUNG SUN PARK
WLWoochang Lee
Woochang Lee
MSMoon-Woo Seong
Moon-Woo Seong
SKSun-Young Kong
Sun-Young Kong
KLKyung-A Lee
Kyung-A Lee
JKJong-Won Kim
Jong-Won Kim
In this study, we performed a comprehensive analysis of BRCA1/2 variants and associated cancer risk in Korean patients considering two aspects: variants of uncertain significance (VUS) and pathogenic or likely pathogenic variants (PLPVs) in BRCA1 and BRCA2. This study included 5433 Korean participants who were tested for BRCA1/2 genes. The BRCA1/2 variants were classified following the standards/guidelines for interpretation of genetic variants and using a multifactorial probability-based approach. In Korea, 15.8% of participants had BRCA1 or BRCA2 PLPVs. To estimate the additional sample numbers needed to resolve unclassified status, we applied a simulation analysis. The simulation study for VUS showed that the smaller the number of samples, the more the posterior probability was affected by the prior probability; in addition, more samples for BRCA2 VUS than those of BRCA1 VUS were required to resolve the unclassified status, and the presence of clinical information associated with their VUS was an important factor. The cumulative lifetime breast cancer risk was 59.1% (95% CI: 44.1–73.6%) for BRCA1 and 58.3% (95% CI: 43.2–73.0%) for BRCA2 carriers. The cumulative lifetime ovarian cancer risk was estimated to be 36.9% (95% CI: 23.4–53.9%) for BRCA1 and 14.9% (95% CI: 7.4–28.5%) for BRCA2 carriers.