PMID- 33302275
OWN - NLM
STAT- MEDLINE
DCOM- 20211021
LR  - 20211021
IS  - 2504-3188 (Electronic)
IS  - 2504-3161 (Linking)
VI  - 14
IP  - 1
DP  - 2021
TI  - Analysis of the Interaction between Polygenic Risk Score and Calorie Intake in 
      Obesity in the Korean Population.
PG  - 20-29
LID - 10.1159/000511333 [doi]
AB  - INTRODUCTION: Obesity results from an imbalance in the intake and expenditure of 
      calories that leads to lifestyle-related diseases. Although genome-wide 
      association studies (GWAS) have revealed many obesity-related genetic factors, 
      the interactions of these factors and calorie intake remain unknown. This study 
      aimed to investigate interactions between calorie intake and the polygenic risk 
      score (PRS) of BMI. METHODS: Three cohorts, i.e., from the Korea Association 
      REsource (KARE; n = 8,736), CArdioVAscular Disease Association Study (CAVAS; n = 
      9,334), and Health EXAminee (HEXA; n = 28,445), were used for this study. 
      BMI-related genetic loci were selected from previous GWAS. Two scores, PRS, and 
      association (a)PRS, were used; the former was determined from 193 
      single-nucleotide polymorphisms (SNPs) from 5 GWAS datasets, and the latter from 
      62 SNPs (potentially associated) from 3 Korean cohorts (meta-analysis, p < 0.01). 
      RESULTS: PRS and aPRS were significantly associated with BMI in all 3 cohorts but 
      did not exhibit a significant interaction with total calorie intake. Similar 
      results were obtained for obesity. PRS and aPRS were significantly associated 
      with obesity but did not show a significant interaction with total calorie 
      intake. We further analyzed the interaction with protein, fat, and carbohydrate 
      intake. The results were similar to those for total calorie intake, with PRS and 
      aPRS found to not be associated with the interaction of any of the 3 nutrition 
      components for either BMI or obesity. DISCUSSION: The interaction of BMI PRS with 
      calorie intake was investigated in 3 independent Korean cohorts (total n = 
      35,094) and no interactions were found between PRS and calorie intake for 
      obesity.
CI  - (c) 2020 The Author(s) Published by S. Karger AG, Basel.
FAU - Lee, Won-Jun
AU  - Lee WJ
AD  - Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, 
      Republic of Korea.
FAU - Lim, Ji Eun
AU  - Lim JE
AD  - Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee 
      University, Seoul, Republic of Korea.
FAU - Jung, Hae Un
AU  - Jung HU
AD  - Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, 
      Republic of Korea.
FAU - Kang, Ji-One
AU  - Kang JO
AD  - Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee 
      University, Seoul, Republic of Korea.
FAU - Park, Taesung
AU  - Park T
AD  - Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 
      Republic of Korea.
AD  - Department of Statistics, Seoul National University, Seoul, Republic of Korea.
FAU - Won, Sungho
AU  - Won S
AD  - Department of Public Health Science, Seoul National University, Seoul, Republic 
      of Korea.
FAU - Rhee, Sang Youl
AU  - Rhee SY
AD  - Department of Endocrinology and Metabolism, School of Medicine, Kyung Hee 
      University, Seoul, Republic of Korea.
FAU - Kim, Mi Kyung
AU  - Kim MK
AD  - Department of Preventive Medicine, College of Medicine, Hanyang University, 
      Seoul, Republic of Korea.
AD  - Institute for Health and Society, Hanyang University, Seoul, Republic of Korea.
FAU - Kim, Yeon-Jung
AU  - Kim YJ
AD  - Division of Biobank for Health Science, Center for Genome Science, Korea National 
      Institute of Health, Chungcheongbuk-do, Republic of Korea.
FAU - Oh, Bermseok
AU  - Oh B
AD  - Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee 
      University, Seoul, Republic of Korea, ohbs@khu.ac.kr.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20201210
PL  - Switzerland
TA  - Lifestyle Genom
JT  - Lifestyle genomics
JID - 101716139
SB  - IM
MH  - Adult
MH  - Aged
MH  - Body Mass Index
MH  - Case-Control Studies
MH  - Cohort Studies
MH  - Eating/ethnology/*genetics
MH  - Energy Intake/ethnology/genetics
MH  - Feeding Behavior/ethnology
MH  - Female
MH  - Gene-Environment Interaction
MH  - Genetic Predisposition to Disease
MH  - Genome-Wide Association Study/statistics & numerical data
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Multifactorial Inheritance/*genetics
MH  - Obesity/epidemiology/ethnology/*genetics
MH  - Polymorphism, Single Nucleotide
MH  - Republic of Korea/epidemiology
MH  - Risk Factors
OTO - NOTNLM
OT  - Body mass index
OT  - Calorie intake
OT  - Interaction
OT  - Obesity
OT  - Polygenic risk score
EDAT- 2020/12/11 06:00
MHDA- 2023/02/25 06:00
CRDT- 2020/12/10 20:16
PHST- 2020/04/29 00:00 [received]
PHST- 2020/08/31 00:00 [accepted]
PHST- 2020/12/11 06:00 [pubmed]
PHST- 2023/02/25 06:00 [medline]
PHST- 2020/12/10 20:16 [entrez]
AID - 000511333 [pii]
AID - 10.1159/000511333 [doi]
PST - ppublish
SO  - Lifestyle Genom. 2021;14(1):20-29. doi: 10.1159/000511333. Epub 2020 Dec 10.