Literature DB >> 33608049

Development of genome-wide polygenic risk scores for lipid traits and clinical applications for dyslipidemia, subclinical atherosclerosis, and diabetes cardiovascular complications among East Asians.

Claudia H T Tam1,2,3, Cadmon K P Lim1,2,3, Andrea O Y Luk1,2,3,4, Alex C W Ng1, Heung-Man Lee1,2, Guozhi Jiang1, Eric S H Lau1, Baoqi Fan1, Raymond Wan1, Alice P S Kong1,2,4, Wing-Hung Tam5, Risa Ozaki1, Elaine Y K Chow1,2, Ka-Fai Lee6, Shing-Chung Siu7, Grace Hui7, Chiu-Chi Tsang8, Kam-Piu Lau9, Jenny Y Y Leung10, Man-Wo Tsang11, Grace Kam11, Ip-Tim Lau12, June K Y Li13, Vincent T F Yeung14, Emmy Lau15, Stanley Lo15, Samuel Fung16, Yuk-Lun Cheng17, Chun-Chung Chow1, Miao Hu1, Weichuan Yu18, Stephen K W Tsui19, Yu Huang19, Huiyao Lan1,4, Cheuk-Chun Szeto1, Nelson L S Tang4,20, Maggie C Y Ng21, Wing-Yee So1,2, Brian Tomlinson1,22, Juliana C N Chan1,2,3,4, Ronald C W Ma23,24,25,26.   

Abstract

BACKGROUND: The clinical utility of personal genomic information in identifying individuals at increased risks for dyslipidemia and cardiovascular diseases remains unclear.
METHODS: We used data from Biobank Japan (n = 70,657-128,305) and developed novel East Asian-specific genome-wide polygenic risk scores (PRSs) for four lipid traits. We validated (n = 4271) and subsequently tested associations of these scores with 3-year lipid changes in adolescents (n = 620), carotid intima-media thickness (cIMT) in adult women (n = 781), dyslipidemia (n = 7723), and coronary heart disease (CHD) (n = 2374 cases and 6246 controls) in type 2 diabetes (T2D) patients.
RESULTS: Our PRSs aggregating 84-549 genetic variants (0.251 < correlation coefficients (r) < 0.272) had comparably stronger association with lipid variations than the typical PRSs derived based on the genome-wide significant variants (0.089 < r < 0.240). Our PRSs were robustly associated with their corresponding lipid levels (7.5 × 10- 103 < P < 1.3 × 10- 75) and 3-year lipid changes (1.4 × 10- 6 < P < 0.0130) which started to emerge in childhood and adolescence. With the adjustments for principal components (PCs), sex, age, and body mass index, there was an elevation of 5.3% in TC (β ± SE = 0.052 ± 0.002), 11.7% in TG (β ± SE = 0.111 ± 0.006), 5.8% in HDL-C (β ± SE = 0.057 ± 0.003), and 8.4% in LDL-C (β ± SE = 0.081 ± 0.004) per one standard deviation increase in the corresponding PRS. However, their predictive power was attenuated in T2D patients (0.183 < r < 0.231). When we included each PRS (for TC, TG, and LDL-C) in addition to the clinical factors and PCs, the AUC for dyslipidemia was significantly increased by 0.032-0.057 in the general population (7.5 × 10- 3 < P < 0.0400) and 0.029-0.069 in T2D patients (2.1 × 10- 10 < P < 0.0428). Moreover, the quintile of TC-related PRS was moderately associated with cIMT in adult women (β ± SE = 0.011 ± 0.005, Ptrend = 0.0182). Independent of conventional risk factors, the quintile of PRSs for TC [OR (95% CI) = 1.07 (1.03-1.11)], TG [OR (95% CI) = 1.05 (1.01-1.09)], and LDL-C [OR (95% CI) = 1.05 (1.01-1.09)] were significantly associated with increased risk of CHD in T2D patients (4.8 × 10- 4 < P < 0.0197). Further adjustment for baseline lipid drug use notably attenuated the CHD association.
CONCLUSIONS: The PRSs derived and validated here highlight the potential for early genomic screening and personalized risk assessment for cardiovascular disease.

Entities:  

Keywords:  Diabetes cardiovascular complications; East Asians; Lipid traits; Polygenic risk scores; Subclinical atherosclerosis

Mesh:

Substances:

Year:  2021        PMID: 33608049      PMCID: PMC7893928          DOI: 10.1186/s13073-021-00831-z

Source DB:  PubMed          Journal:  Genome Med        ISSN: 1756-994X            Impact factor:   11.117


  48 in total

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7.  Obesity, clinical, and genetic predictors for glycemic progression in Chinese patients with type 2 diabetes: A cohort study using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank.

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