Differential Effects of ABCG5/G8 Gene Region Variants on Lipid Profile, Blood Pressure Status, and Gallstone Disease History in Taiwan.
Ming-Sheng TengKuan-Hung YehLung-An HsuHsin-Hua ChouLeay-Kiaw ErSemon WuYu-Lin KoPublished in: Genes (2023)
ABCG5 and ABCG8 are two key adenosine triphosphate-binding cassette (ABC) proteins that regulate whole-body sterol trafficking. This study aimed to elucidate the association between ABCG5/G8 gene region variants and lipid profile, cardiometabolic traits, and gallstone disease history in Taiwan. A total of 1494 Taiwan Biobank participants with whole-genome sequencing data and 117,679 participants with Axiom Genome-Wide CHB Array data were enrolled for analysis. Using genotype-phenotype and stepwise linear regression analyses, we found independent associations of four Asian-specific ABCG5 variants, rs119480069, rs199984328, rs560839317, and rs748096191, with total, low-density lipoprotein (LDL), and non-high-density lipoprotein (HDL) cholesterol levels (all p ≤ 0.0002). Four other variants, which were in nearly complete linkage disequilibrium, exhibited genome-wide significant associations with gallstone disease history, and the ABCG8 rs11887534 variant showed a trend of superiority for gallstone disease history in a nested logistic regression model ( p = 0.074). Through regional association analysis of various other cardiometabolic traits, two variants of the PLEKHH2 , approximately 50 kb from the ABCG5/G8 region, exhibited significant associations with blood pressure status ( p < 10 -6 ). In conclusion, differential effects of ABCG5/G8 region variants were noted for lipid profile, blood pressure status, and gallstone disease history in Taiwan. These results indicate the crucial role of individualized assessment of ABCG5/G8 variants for different cardiometabolic phenotypes.
Keyphrases
- copy number
- genome wide
- blood pressure
- low density lipoprotein
- dna methylation
- high density
- cancer stem cells
- heart rate
- big data
- electronic health record
- mass spectrometry
- hypertensive patients
- weight loss
- high resolution
- artificial intelligence
- hepatitis c virus
- binding protein
- machine learning
- transcription factor
- men who have sex with men