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Guay SP, Paquette M, Taschereau A, Girard L, Desgagné V, Bouchard L, Bernard S, Baass A. Acute pancreatitis risk in multifactorial chylomicronemia syndrome depends on the molecular cause of severe hypertriglyceridemia. Atherosclerosis 2024; 392:117489. [PMID: 38448342 DOI: 10.1016/j.atherosclerosis.2024.117489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND AND AIMS Multifactorial chylomicronemia syndrome (MCS) is a severe form of hypertriglyceridemia (hyperTG) associated with an increased risk of acute pancreatitis (AP). Severe hyperTG is mainly polygenic in nature, either caused by the presence of heterozygous pathogenic variants (PVs) in TG-related metabolism genes or by accumulation of common variants in hyperTG susceptibility genes. This study aims to determine if the risk of AP is similar amongst MCS patients with different molecular causes of severe hyperTG. METHODS This study included 114 MCS patients who underwent genetic testing for PVs in TG-related metabolism genes and 16 single nucleotide polymorphisms (SNPs) in hyperTG susceptibility genes. A weighted TG-polygenic risk score (TG-PRS) was calculated. A TG-PRS score ≥ 90th percentile was used to define a high TG-PRS. RESULTS Overall, 66.7% of patients had severe hyperTG of polygenic origin. MCS patients with only a PV and those with both a PV and high TG-PRS were more prone to have maximal TG concentration ≥ 40 mmol/L (OR 5.33 (1.55-18.36); p = 0.008 and OR 5.33 (1.28-22.25); p = 0.02), as well as higher prevalence of AP (OR 3.64 (0.89-14.92); p = 0.07 and OR 11.90 (2.54-55.85); p = 0.002) compared to MCS patients with high TG-PRS alone. CONCLUSIONS This is the first study to show that MCS caused by a high TG-PRS and a PV is associated with higher risk of AP, similar to what is seen in the monogenic form of severe hyperTG. This suggests that determining the molecular cause of severe hyperTG could be useful to stratify the risk of pancreatitis in MCS.
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Affiliation(s)
- Simon-Pierre Guay
- Genetic Dyslipidemias Clinic of the Montreal Clinical Research Institute, Montréal, Québec, Canada; Department of Medicine, Division of Endocrinology, Université de Montréal, Montréal, Québec, Canada
| | - Martine Paquette
- Genetic Dyslipidemias Clinic of the Montreal Clinical Research Institute, Montréal, Québec, Canada
| | - Amélie Taschereau
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Lysanne Girard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Véronique Desgagné
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada; Clinical Department of Laboratory Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) Du Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Saguenay, Québec, Canada
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada; Department of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Sophie Bernard
- Genetic Dyslipidemias Clinic of the Montreal Clinical Research Institute, Montréal, Québec, Canada
| | - Alexis Baass
- Genetic Dyslipidemias Clinic of the Montreal Clinical Research Institute, Montréal, Québec, Canada; Department of Medicine, Divisions of Experimental Medicine and Medical Biochemistry, McGill University, Montréal, Québec, Canada.
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Chen XY, Fang L, Zhang J, Zhong JM, Lin JJ, Lu F. The association of body mass index and its interaction with family history of dyslipidemia towards dyslipidemia in patients with type 2 diabetes: a cross-sectional study in Zhejiang Province, China. Front Public Health 2023; 11:1188212. [PMID: 37255759 PMCID: PMC10225544 DOI: 10.3389/fpubh.2023.1188212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
Objectives This study aimed to investigate the association between body mass index (BMI) and dyslipidemia and to explore the interaction between BMI and family history of dyslipidemia towards dyslipidemia in patients with type 2 diabetes. Methods This cross-sectional study was conducted between March and November 2018 in Zhejiang Province, China. A total of 1,756 patients with type 2 diabetes were included, physical examination data, fasting blood samples and face-to-face questionnaire survey data were collected. Restricted cubic spline analysis was used to evaluate the association between BMI and the risk of dyslipidemia. Unconditional multivariable logistic regression was used to estimate the interaction between BMI and family history of dyslipidemia towards dyslipidemia. Results The prevalence of dyslipidemia was 53.7% in the study population. The risk of dyslipidemia elevated with increased BMI value (p for non-linearity <0.05). After adjusting for covariates, individuals with high BMI (≥24 kg/m2) and a family history of dyslipidemia had a 4.50-fold (95% CI: 2.99-6.78) increased risk of dyslipidemia compared to the normal reference group, which was higher than the risk associated with high BMI alone (OR = 1.83, 95% CI: 1.47-2.28) or family history of dyslipidemia alone (OR = 1.79 95% CI: 1.14-2.83). Significant additive interaction between high BMI and a family history of dyslipidemia was detected, with RERI, AP, and SI values of 1.88 (95% CI: 0.17-4.10), 0.42 (95% CI: 0.02-0.62), and 2.16 (95% CI: 1.07-4.37), respectively. However, stratified by status of diabetes control, this additive interaction was only find significant among patients with controlled diabetes. Conclusion Both high BMI and a family history of dyslipidemia were related with high risk of dyslipidemia. Moreover, there were synergistic interaction between these two factors. Patients with type 2 diabetes who had a family history of dyslipidemia were more susceptible to the negative impact of being overweight or obesity on dyslipidemia.
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Legault MA, Barhdadi A, Gamache I, Lemaçon A, Lemieux Perreault LP, Grenier JC, Sylvestre MP, Hussin JG, Rhainds D, Tardif JC, Dubé MP. Study of effect modifiers of genetically predicted CETP reduction. Genet Epidemiol 2023; 47:198-212. [PMID: 36701426 DOI: 10.1002/gepi.22514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/11/2022] [Accepted: 01/11/2023] [Indexed: 01/27/2023]
Abstract
Genetic variants in drug targets can be used to predict the long-term, on-target effect of drugs. Here, we extend this principle to assess how sex and body mass index may modify the effect of genetically predicted lower CETP levels on biomarkers and cardiovascular outcomes. We found sex and body mass index (BMI) to be modifiers of the association between genetically predicted lower CETP and lipid biomarkers in UK Biobank participants. Female sex and lower BMI were associated with higher high-density lipoprotein cholesterol and lower low-density lipoprotein cholesterol for the same genetically predicted reduction in CETP concentration. We found that sex also modulated the effect of genetically lower CETP on cholesterol efflux capacity in samples from the Montreal Heart Institute Biobank. However, these modifying effects did not extend to sex differences in cardiovascular outcomes in our data. Our results provide insight into the clinical effects of CETP inhibitors in the presence of effect modification based on genetic data. The approach can support precision medicine applications and help assess the external validity of clinical trials.
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Affiliation(s)
- Marc-André Legault
- Montreal Heart Institute, Montreal, Quebec, Canada.,Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Quebec, Canada.,Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Amina Barhdadi
- Montreal Heart Institute, Montreal, Quebec, Canada.,Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Quebec, Canada
| | - Isabel Gamache
- Montreal Heart Institute, Montreal, Quebec, Canada.,Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Audrey Lemaçon
- Montreal Heart Institute, Montreal, Quebec, Canada.,Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Quebec, Canada
| | - Louis-Philippe Lemieux Perreault
- Montreal Heart Institute, Montreal, Quebec, Canada.,Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Quebec, Canada
| | | | - Marie-Pierre Sylvestre
- Research Centre of the University of Montreal Hospital Centre, Montreal, Quebec, Canada.,Department of Social and Preventive Medicine, Université de Montréal, Montréal, Quebec, Canada
| | - Julie G Hussin
- Montreal Heart Institute, Montreal, Quebec, Canada.,Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | | | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, Quebec, Canada.,Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Marie-Pierre Dubé
- Montreal Heart Institute, Montreal, Quebec, Canada.,Université de Montréal Beaulieu-Saucier Pharmacogenomics Centre, Montreal, Quebec, Canada.,Department of Medicine, Université de Montréal, Montreal, Quebec, Canada
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Delgadillo DR, Pressman SD, Christian LM, Galley JD, Bailey MT. Associations Between Gut Microbes and Social Behavior in Healthy 2-Year-Old Children. Psychosom Med 2022; 84:749-756. [PMID: 35797533 PMCID: PMC9437120 DOI: 10.1097/psy.0000000000001103] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Emerging research has connected abundances of specific bacteria to differences in psychosocial behaviors in animals and adult humans. However, research assessing mind-microbiome associations in children is sparse with extant work primarily focused on populations with autism, making it unclear whether links are also present in typically developing children. The current study fills this gap by examining associations between prosocial-self-regulating temperaments (effortful control; EC) and the gut microbiome in typically developing children. METHODS Maternal ratings of temperament were assessed in 77 toddlers 18 to 27 months of age (46.7% female, mean age = 23.14 months). Next-generation pyrosequencing of the V1-V3 region of the 16S rRNA gene was used to classify children's gut microbial composition from fecal samples. EC included the following subcategories: cuddliness, attentional focusing, attentional shifting, inhibitory control, and low-intensity pleasure. RESULTS After adjusting for covariates, EC was positively associated with relative abundances of Akkermansia (Δ R2 = 0.117, b = 0.022, SE = 0.007, p = .002), with cuddliness (i.e., joy and ease of being held) driving the relation. Furthermore, attentional focusing was negatively associated with Alistipes (Δ R2 = 0.062, b = -0.011, SE = 0.005, p = .028). Permutational analysis of variance revealed no significant differences in community structure between high and low EC groups on the phylum level ( R2 = 0.00372, p = .745) or the genus level ( R2 = 0.01559, p = .276). CONCLUSIONS Findings suggest that certain microbes may be linked to prosocial behaviors used to regulate emotion in typically developing children. Further research is needed to test whether these observations replicate in larger samples.
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Affiliation(s)
| | - Sarah D. Pressman
- Department of Psychological Science, University of
California, Irvine, USA
| | | | - Jeffrey D. Galley
- Institute for Behavioral Medicine Research, The Ohio State
University, College of Medicine
| | - Michael T. Bailey
- Department of Psychiatry, The Ohio State University,
Columbus, USA
- Abigail Wexner Research Institute at Nationwide
Children’s Hospital, Columbus, USA
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San-Cristobal R, de Toro-Martín J, Vohl MC. Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation. Curr Nutr Rep 2022; 11:563-573. [PMID: 35948824 PMCID: PMC9750926 DOI: 10.1007/s13668-022-00430-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW This review aims to analyse the currently reported gene-environment (G × E) interactions in genome-wide association studies (GWAS), involving environmental factors such as lifestyle and dietary habits related to metabolic syndrome phenotypes. For this purpose, the present manuscript reviews the available GWAS registered on the GWAS Catalog reporting the interaction between environmental factors and metabolic syndrome traits. RECENT FINDINGS Advances in omics-related analytical and computational approaches in recent years have led to a better understanding of the biological processes underlying these G × E interactions. A total of 42 GWAS were analysed, reporting over 300 loci interacting with environmental factors. Alcohol consumption, sleep time, smoking habit and physical activity were the most studied environmental factors with significant G × E interactions. The implementation of more comprehensive GWAS will provide a better understanding of the metabolic processes that determine individual responses to environmental exposures and their association with the development of chronic diseases such as obesity and the metabolic syndrome. This will facilitate the development of precision approaches for better prevention, management and treatment of these diseases.
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Affiliation(s)
- Rodrigo San-Cristobal
- grid.23856.3a0000 0004 1936 8390Centre Nutrition, Santé Et Société (NUTRISS), Institut Sur La Nutrition Et Les Aliments Fonctionnels (INAF), Université Laval, Québec, QC Canada ,grid.23856.3a0000 0004 1936 8390School of Nutrition, Université Laval, Quebec, QC G1V 0A6 Canada
| | - Juan de Toro-Martín
- grid.23856.3a0000 0004 1936 8390Centre Nutrition, Santé Et Société (NUTRISS), Institut Sur La Nutrition Et Les Aliments Fonctionnels (INAF), Université Laval, Québec, QC Canada ,grid.23856.3a0000 0004 1936 8390School of Nutrition, Université Laval, Quebec, QC G1V 0A6 Canada
| | - Marie-Claude Vohl
- grid.23856.3a0000 0004 1936 8390Centre Nutrition, Santé Et Société (NUTRISS), Institut Sur La Nutrition Et Les Aliments Fonctionnels (INAF), Université Laval, Québec, QC Canada ,grid.23856.3a0000 0004 1936 8390School of Nutrition, Université Laval, Quebec, QC G1V 0A6 Canada
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A genetic sum score of effect alleles associated with serum lipid concentrations interacts with educational attainment. Sci Rep 2021; 11:16541. [PMID: 34400708 PMCID: PMC8368036 DOI: 10.1038/s41598-021-95970-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 08/02/2021] [Indexed: 11/16/2022] Open
Abstract
High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (TC) levels are influenced by both genes and the environment. The aim was to investigate whether education and income as indicators of socioeconomic position (SEP) interact with lipid-increasing genetic effect allele scores (GES) in a population-based cohort. Using baseline data of 4516 study participants, age- and sex-adjusted linear regression models were fitted to investigate associations between GES and lipids stratified by SEP as well as including GES×SEP interaction terms. In the highest education group compared to the lowest stronger effects per GES standard deviation were observed for HDL-C (2.96 mg/dl [95%-CI: 2.19, 3.83] vs. 2.45 mg/dl [95%-CI: 1.12, 3.72]), LDL-C (6.57 mg/dl [95%-CI: 4.73, 8.37] vs. 2.66 mg/dl [95%-CI: −0.50, 5.76]) and TC (8.06 mg/dl [95%-CI: 6.14, 9.98] vs. 4.37 mg/dl [95%-CI: 0.94, 7.80]). Using the highest education group as reference, interaction terms showed indication of GES by low education interaction for LDL-C (ßGES×Education: −3.87; 95%-CI: −7.47, −0.32), which was slightly attenuated after controlling for GESLDL-C×Diabetes interaction (ßGES×Education: −3.42; 95%-CI: −6.98, 0.18). The present study showed stronger genetic effects on LDL-C in higher SEP groups and gave indication for a GESLDL-C×Education interaction, demonstrating the relevance of SEP for the expression of genetic health risks.
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Chen J, Guan L, Liu H, Liu Q, Fan P, Bai H. GALNT2 Gene Variant rs4846914 Is Associated with Insulin and Insulin Resistance Depending on BMI in PCOS Patients: a Case-Control Study. Reprod Sci 2021; 28:1122-1132. [PMID: 33171515 DOI: 10.1007/s43032-020-00380-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 10/30/2020] [Indexed: 10/23/2022]
Abstract
GALNT2 is a GalNAc transferase that regulates insulin signaling, lipogenesis, and serum lipid fractions. The objective of this study was to investigate the association of GALNT2 rs2144300 and rs4846914 single nucleotide polymorphisms (SNPs) with the risk of polycystic ovary syndrome (PCOS) and related traits. The two SNPs were genotyped in 616 PCOS patients and 482 control subjects. Genetic associations with related traits were also analyzed. The genotype distributions of the two SNPs in PCOS patients were similar to those of normal controls. However, significant differences were noted across the three groups of genotypes with respect to the examined variables. In the PCOS group, subjects with genotype AA at the rs4846914 SNP exhibited an increased fasting serum insulin and homeostasis model insulin resistance (HOMA-IR) index compared with that of corresponding GG or GA genotype carriers (all P < 0.05). When PCOS patients were further separated into obese and non-obese subgroups, the genotype-related effects on insulin and HOMA-IR were more obvious, and variations in BMI and FSH levels were exclusively observed in obese PCOS subjects (all P < 0.05). In addition, fasting plasma glucose levels were affected by the genotypes of the rs2144300 SNP in normal control women (P < 0.05). rs4846914 and rs2144300 polymorphisms in the GALNT2 gene are associated with insulin and HOMA-IR, BMI, and FSH levels in obese PCOS patients and glucose levels in normal control women, respectively, but not with PCOS. GALNT2 rs4846914 AA carrier status may be associated with insulin resistance and related traits in obese patients.
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Affiliation(s)
- Jinxin Chen
- Laboratory of Genetic Disease and Perinatal Medicine and Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, South People's Road, Chengdu, 610041, Sichuan, People's Republic of China
| | - Linbo Guan
- Laboratory of Genetic Disease and Perinatal Medicine and Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, South People's Road, Chengdu, 610041, Sichuan, People's Republic of China
| | - Hongwei Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Qingqing Liu
- Laboratory of Genetic Disease and Perinatal Medicine and Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, South People's Road, Chengdu, 610041, Sichuan, People's Republic of China
| | - Ping Fan
- Laboratory of Genetic Disease and Perinatal Medicine and Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, South People's Road, Chengdu, 610041, Sichuan, People's Republic of China.
| | - Huai Bai
- Laboratory of Genetic Disease and Perinatal Medicine and Key Laboratory of Birth Defects and Related Diseases of Women and Children of the Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, South People's Road, Chengdu, 610041, Sichuan, People's Republic of China.
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Williams PT. Quantile-Dependent Expressivity and Gene-Lifestyle Interactions Involving High-Density Lipoprotein Cholesterol. Lifestyle Genom 2020; 14:1-19. [PMID: 33296900 DOI: 10.1159/000511421] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 09/04/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The phenotypic expression of a high-density lipoprotein (HDL) genetic risk score has been shown to depend upon whether the phenotype (HDL-cholesterol) is high or low relative to its distribution in the population (quantile-dependent expressivity). This may be due to the effects of genetic mutations on HDL-metabolism being concentration dependent. METHOD The purpose of this article is to assess whether some previously reported HDL gene-lifestyle interactions could potentially be attributable to quantile-dependent expressivity. SUMMARY Seventy-three published examples of HDL gene-lifestyle interactions were interpreted from the perspective of quantile-dependent expressivity. These included interactive effects of diet, alcohol, physical activity, adiposity, and smoking with genetic variants associated with the ABCA1, ADH3, ANGPTL4, APOA1, APOA4, APOA5, APOC3, APOE, CETP, CLASP1, CYP7A1, GALNT2, LDLR, LHX1, LIPC, LIPG, LPL, MVK-MMAB, PLTP, PON1, PPARα, SIRT1, SNTA1,and UCP1genes. The selected examples showed larger genetic effect sizes for lifestyle conditions associated with higher vis-à-vis lower average HDL-cholesterol concentrations. This suggests these reported interactions could be the result of selecting subjects for conditions that differentiate high from low HDL-cholesterol (e.g., lean vs. overweight, active vs. sedentary, high-fat vs. high-carbohydrate diets, alcohol drinkers vs. abstainers, nonsmokers vs. smokers) producing larger versus smaller genetic effect sizes. Key Message: Quantile-dependent expressivity provides a potential explanation for some reported gene-lifestyle interactions for HDL-cholesterol. Although overall genetic heritability appears to be quantile specific, this may vary by genetic variant and environmental exposure.
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Affiliation(s)
- Paul T Williams
- Molecular Biophysics & Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California, USA,
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9
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Sull JW, Kim S, Jee SH. Effects of Obesity and Family History of Diabetes on the Association of CETP rs6499861 with HDL-C Level in Korean Populations. J Lipid Atheroscler 2020; 8:252-257. [PMID: 32821715 PMCID: PMC7379118 DOI: 10.12997/jla.2019.8.2.252] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/21/2019] [Accepted: 08/20/2019] [Indexed: 11/17/2022] Open
Abstract
Objectives The aim of this study was to examine the associations of cholesterol ester transfer protein (CETP) rs6499861 and rs12708980 with high-density lipoprotein cholesterol (HDL-C) considering obesity and family history of diabetes (FHD) in Korean men and women. Methods We analyzed the association of CETP single nucleotide polymorphisms (SNPs) with HDL-C among individuals selected from a hospital (n=4 294) and the Bundang-gu area in Korea (n=2 304). Results We found that the CETP SNP rs6499861 was associated with a lower HDL-C level (effect per allele: −2.044 mg/dL, p<0.0001). Individuals with a rs6499861 CG/GG genotype had a 1.45-fold higher risk of an abnormal level of HDL-C (<40 mg/dL) than those with a CC genotype. This genotype-HDL-C association was stronger in women (odds ratio [OR], 1.99; 95% confidence interval [CI], 1.39–2.85) compared with men (OR, 1.33; 95% CI, 1.10–1.61) and in women with a FHD (OR, 4.82; 95% CI, 1.86–12.5; p=0.0012) compared with women without a family history. Relative to individuals with a CC genotype and body mass index (BMI) <25.69 kg/m2, individuals with a CG/GG genotype and BMI ≥25.69 kg/m2 had an OR (95% CI) of 2.61 (1.97–3.47). Conclusions These findings indicate that CETP variants are linked to HDL-C level in Koreans and that this link is stronger in obese men and in women who have a FHD.
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Affiliation(s)
- Jae Woong Sull
- Department of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Korea
| | - Soriul Kim
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
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10
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Williams PT. Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations. Sci Rep 2020; 10:4486. [PMID: 32161301 PMCID: PMC7066156 DOI: 10.1038/s41598-020-60965-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 02/17/2020] [Indexed: 12/16/2022] Open
Abstract
"Quantile-dependent expressivity" is a dependence of genetic effects on whether the phenotype (e.g., triglycerides) is high or low relative to its distribution in the population. Quantile-specific offspring-parent regression slopes (βOP) were estimated by quantile regression for 6227 offspring-parent pairs. Quantile-specific heritability (h2), estimated by 2βOP/(1 + rspouse), decreased 0.0047 ± 0.0007 (P = 2.9 × 10-14) for each one-percent decrement in fasting triglyceride concentrations, i.e., h2 ± SE were: 0.428 ± 0.059, 0.230 ± 0.030, 0.111 ± 0.015, 0.050 ± 0.016, and 0.033 ± 0.010 at the 90th, 75th, 50th, 25th, and 10th percentiles of the triglyceride distribution, respectively. Consistent with quantile-dependent expressivity, 11 drug studies report smaller genotype differences at lower (post-treatment) than higher (pre-treatment) triglyceride concentrations. This meant genotype-specific triglyceride changes could not move in parallel when triglycerides were decreased pharmacologically, so that subtracting pre-treatment from post-treatment triglyceride levels necessarily created a greater triglyceride decrease for the genotype with a higher pre-treatment value (purported precision-medicine genetic markers). In addition, sixty-five purported gene-environment interactions were found to be potentially attributable to triglyceride's quantile-dependent expressivity, including gene-adiposity (APOA5, APOB, APOE, GCKR, IRS-1, LPL, MTHFR, PCSK9, PNPLA3, PPARγ2), gene-exercise (APOA1, APOA2, LPL), gene-diet (APOA5, APOE, INSIG2, LPL, MYB, NXPH1, PER2, TNFA), gene-alcohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL), and gene-insulin resistance interactions (APOE, LPL).
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Affiliation(s)
- Paul T Williams
- Lawrence Berkeley National Laboratory, Molecular Biophysics & Integrated Bioimaging Division 1 Cyclotron Road, Berkeley, CA, 94720, USA.
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11
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McCaffery JM. Precision behavioral medicine: Implications of genetic and genomic discoveries for behavioral weight loss treatment. ACTA ACUST UNITED AC 2019; 73:1045-1055. [PMID: 30394782 DOI: 10.1037/amp0000253] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
This article reviews the concept of precision behavioral medicine and the progress toward applying genetics and genomics as tools to optimize weight management intervention. We discuss genetic, epigenetic, and genomic markers, as well as interactions between genetics and the environment as they relate to obesity and behavioral weight loss to date. Recommendations for the conditions under which genetics and genomics could be incorporated to support clinical decision-making in behavioral weight loss are outlined and illustrative scenarios of how this approach could improve clinical outcomes are provided. It is concluded that there is not yet sufficient evidence to leverage genetics or genomics to aid the treatment of obesity but the foundations are being laid. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Affiliation(s)
- Jeanne M McCaffery
- Weight Control and Diabetes Research Center, Department of Psychiatry and Human Behavior, The Miriam Hospital
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Pirnat A, DeRoo LA, Skjærven R, Morken NH. Lipid levels after childbirth and association with number of children: A population-based cohort study. PLoS One 2019; 14:e0223602. [PMID: 31648223 PMCID: PMC6812782 DOI: 10.1371/journal.pone.0223602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 09/24/2019] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Low parity women are at increased risk of cardiovascular mortality. Unfavourable lipid profiles have been found in one-child mothers years before they conceive. However, it remains unclear whether unfavourable lipid profiles are evident in these women also after their first birth. The aim was to estimate post-pregnancy lipid levels in one-child mothers compared to mothers with two or more children and to assess these lipid's associations with number of children. METHODS We used data on 32 618 parous women (4 490 one-child mothers and 28 128 women with ≥2 children) examined after first childbirth as part of Cohort of Norway (1994-2003) with linked data on reproduction and number of children from the Medical Birth Registry of Norway (1967-2008). Odds ratios (ORs) with 95% confidence intervals (CIs) for one lifetime pregnancy (vs. ≥2 pregnancies) by lipid quintiles were obtained by logistic regression and adjusted for age at examination, year of first birth, body mass index, oral contraceptive use, smoking and educational level. RESULTS Compared to women with the lowest quintiles, ORs for one lifetime pregnancy for the highest quintiles of LDL and total cholesterol were 1.30 (95%CI: 1.14-1.45) and 1.43 (95%CI: 1.27-1.61), respectively. Sensitivity analysis (women <40 years) showed no appreciable change in our results. In stratified analyses, estimates were slightly stronger in overweight/obese, physically inactive and women with self-perceived bad health. CONCLUSIONS Mean lipid levels measured after childbirth in women with one child were significantly higher compared to mothers with two or more children and were associated with higher probability of having only one child. These findings corroborate an association between serum lipid levels and one lifetime pregnancy (as a feature of subfecundity), emphasizing that these particular women may be a specific predetermined risk group for cardiovascular related disease and death.
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Affiliation(s)
- Aleksandra Pirnat
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- * E-mail:
| | - Lisa A. DeRoo
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Rolv Skjærven
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Nils-Halvdan Morken
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, University of Bergen, Bergen, Norway
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McPherson R. 2018 George Lyman Duff Memorial Lecture: Genetics and Genomics of Coronary Artery Disease: A Decade of Progress. Arterioscler Thromb Vasc Biol 2019; 39:1925-1937. [PMID: 31462092 PMCID: PMC6766359 DOI: 10.1161/atvbaha.119.311392] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Recent studies have led to a broader understanding of the genetic architecture of coronary artery disease and demonstrate that it largely derives from the cumulative effect of multiple common risk alleles individually of small effect size rather than rare variants with large effects on coronary artery disease risk. The tools applied include genome-wide association studies encompassing over 200 000 individuals complemented by bioinformatic approaches including imputation from whole-genome data sets, expression quantitative trait loci analyses, and interrogation of ENCODE (Encyclopedia of DNA Elements), Roadmap Epigenetic Project, and other data sets. Over 160 genome-wide significant loci associated with coronary artery disease risk have been identified using the genome-wide association studies approach, 90% of which are situated in intergenic regions. Here, I will describe, in part, our research over the last decade performed in collaboration with a series of bright trainees and an extensive number of groups and individuals around the world as it applies to our understanding of the genetic basis of this complex disease. These studies include computational approaches to better understand missing heritability and identify causal pathways, experimental approaches, and progress in understanding at the molecular level the function of the multiple risk loci identified and potential applications of these genomic data in clinical medicine and drug discovery.
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Affiliation(s)
- Ruth McPherson
- From the Division of Cardiology, Atherogenomics Laboratory, Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, ON, Canada
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Kaur Y, Wang DX, Liu HY, Meyre D. Comprehensive identification of pleiotropic loci for body fat distribution using the NHGRI-EBI Catalog of published genome-wide association studies. Obes Rev 2019; 20:385-406. [PMID: 30565845 DOI: 10.1111/obr.12806] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 10/05/2018] [Accepted: 10/15/2018] [Indexed: 12/22/2022]
Abstract
We conducted a hypothesis-free cross-trait analysis for waist-to-hip ratio adjusted for body mass index (WHRadjBMI ) loci derived through genome-wide association studies (GWAS). Summary statistics from published GWAS were used to capture all WHRadjBMI single-nucleotide polymorphisms (SNPs), and their proxy SNPs were identified. These SNPs were used to extract cross-trait associations between WHRadjBMI SNPs and other traits through the NHGRI-EBI GWAS Catalog. Pathway analysis was conducted for pleiotropic WHRadjBMI SNPs. We found 160 WHRadjBMI SNPs and 3675 proxy SNPs. Cross-trait analysis identified 239 associations, of which 100 were for obesity traits. The remaining 139 associations were filtered down to 101 unique linkage disequilibrium block associations, which were grouped into 13 categories: lipids, red blood cell traits, white blood cell counts, inflammatory markers and autoimmune diseases, type 2 diabetes-related traits, adiponectin, cancers, blood pressure, height, neuropsychiatric disorders, electrocardiography changes, urea measurement, and others. The highest number of cross-trait associations were found for triglycerides (n = 10), high-density lipoprotein cholesterol (n = 9), and reticulocyte counts (n = 8). Pathway analysis for WHRadjBMI pleiotropic SNPs found immune function pathways as the top canonical pathways. Results from our original methodology indicate a novel genetic association between WHRadjBMI and reticulocyte counts and highlight the pleiotropy between abdominal obesity, immune pathways, and other traits.
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Affiliation(s)
- Yuvreet Kaur
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.,Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Dominic X Wang
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.,Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - Hsin-Yen Liu
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.,Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
| | - David Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
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15
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Severe hypertriglyceridemia is primarily polygenic. J Clin Lipidol 2019; 13:80-88. [DOI: 10.1016/j.jacl.2018.10.006] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Revised: 10/13/2018] [Accepted: 10/16/2018] [Indexed: 12/22/2022]
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16
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McCaffery JM, Ordovas JM, Huggins GS, Lai CQ, Espeland MA, Tate DF, Wing RR. Weight gain prevention buffers the impact of CETP rs3764261 on high density lipoprotein cholesterol in young adulthood: The Study of Novel Approaches to Weight Gain Prevention (SNAP). Nutr Metab Cardiovasc Dis 2018; 28:816-821. [PMID: 29699816 PMCID: PMC6127000 DOI: 10.1016/j.numecd.2018.02.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 02/22/2018] [Accepted: 02/27/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND AND AIMS Two weight gain prevention strategies, one targeting small changes to diet and physical activity and a second targeting large changes, significantly reduced weight gain in young adulthood. We examined whether weight gain prevention blunts genetic risk for body weight increase and/or high density lipoprotein cholesterol (HDL-C) lowering over two years. METHODS AND RESULTS Participants were 524 male and female young adults (mean age = 28.2, SD = 4.3; mean BMI = 25.5, SD = 2.6). Obesity-related SNPs accounting for ≥ 0.04% of the variance were genotyped and combined into a genetic risk score. For HDL-C, SNPs within CETP, LIPC and FADS2 were genotyped. The obesity-related genetic risk score did not predict change in BMI independently or in interaction with treatment arm. However, consistent with the prior literature, each copy of the HDL-C risk, C, allele at CETP rs3764261 was associated with lower HDL-C at baseline. Moreover, significant interaction between SNP and treatment arm for change in HDL-C was observed (p = 0.02). In the control group, HDL-C change was dependent upon rs3764261 (p = 0.004) with C allele carriers showing a continued reduction in HDL-C. In contrast, within the two intervention groups, HDL-C increased on average with no differential effect of rs3764261 (p > 0.24). Notably, even among carriers of the CC genotype, small and large change arms were associated with increased HDL-C and the control arm a reduction (p = 0.013). CONCLUSIONS The C allele at CETP rs3764261 is a strong risk factor for low HDL-C in young adulthood but weight gain prevention may mitigate this risk. CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE: clinicaltrials.gov Identifier: NCT01183689, https://clinicaltrials.gov/.
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Affiliation(s)
- J M McCaffery
- Department of Psychiatry and Human Behavior, Alpert School of Medicine at Brown University, USA.
| | - J M Ordovas
- JM-USDA-HNRCA at Tufts University, USA; IMDEA Alimentacion, Madrid, Spain
| | - G S Huggins
- Sackler School of Biomedical Science, Tufts University, Madrid, Spain
| | - C-Q Lai
- USDA-ARS, JM-USDA Human Nutrition Research Center on Aging at Tufts University, USA
| | - M A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, USA
| | - D F Tate
- Gillings School of Global Public Health, University of North Carolina, Carolina, USA
| | - R R Wing
- Department of Psychiatry and Human Behavior, Alpert School of Medicine at Brown University, USA
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Veljkovic N, Zaric B, Djuric I, Obradovic M, Sudar-Milovanovic E, Radak D, Isenovic ER. Genetic Markers for Coronary Artery Disease. MEDICINA (KAUNAS, LITHUANIA) 2018; 54:E36. [PMID: 30344267 PMCID: PMC6122104 DOI: 10.3390/medicina54030036] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 05/18/2018] [Accepted: 05/22/2018] [Indexed: 12/22/2022]
Abstract
Coronary artery disease (CAD) and myocardial infarction (MI) are recognized as leading causes of mortality in developed countries. Although typically associated with behavioral risk factors, such as smoking, sedentary lifestyle, and poor dietary habits, such vascular phenotypes have also long been recognized as being related to genetic background. We review the currently available data concerning genetic markers for CAD in English and non-English articles with English abstracts published between 2003 and 2018. As genetic testing is increasingly available, it may be possible to identify adequate genetic markers representing the risk profile and to use them in a clinical setting.
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Affiliation(s)
- Nevena Veljkovic
- Centre for Multidisciplinary Research and Engineering, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Bozidarka Zaric
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Ilona Djuric
- Department for Endocrinology and Immunoradiology 11080 Zemun, Institute for the Application of Nuclear Energy-INEP, University of Belgrade, 11000 Belgrade, Serbia.
| | - Milan Obradovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Emina Sudar-Milovanovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
| | - Djordje Radak
- School of Medicine, Dedinje Cardiovascular Institute, University of Belgrade, 11000 Belgrade, Serbia.
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
- Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia.
| | - Esma R Isenovic
- Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia.
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Lalanne-Mistrih ML, Connes P, Lamarre Y, Lemonne N, Hardy-Dessources MD, Tarer V, Etienne-Julan M, Mougenel D, Tressières B, Romana M. Lipid profiles in French West Indies sickle cell disease cohorts, and their general population. Lipids Health Dis 2018; 17:38. [PMID: 29506549 PMCID: PMC5836466 DOI: 10.1186/s12944-018-0689-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 02/27/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The pathophysiology of sickle cell disease (SCD) and the variability of its clinical expression remain not fully understood, whether within or between different SCD genotypes. Recent studies have reported associations between lipid levels and several SCD complications. If lipid levels have been previously described as low in sickle cell anemia (SCA), few data have been provided for sickle cell SC disease (SCC). We designed our epidemiological study to isolate lipid levels and profiles by genotype in Guadeloupian cohorts of SCA and SCC adult patients, at steady state. We compared SCD lipid levels with those of the Guadeloupian general population (GGP), and analyzed potential associations between lipid levels and SCD complications (vaso-occlusive crises, acute chest syndrome and osteonecrosis). METHODS Lipids, apolipoproteins, biological variables and anthropometric evaluation, were collected at steady state from medical files for 62 SCC and 97 SCA adult patients. Clinical SCD complications were collected from the clinical files. Analysis was conducted by genotype for all variables. RESULTS Different SCC and SCA lipid profiles, both distinct from their GGP's, were identified. Compared to SCC and GGP, higher triglyceride (TG) levels were observed in SCA patients, independent of hydroxyurea, hemolysis, gender, age, body mass index (BMI), abdominal obesity and clinical nutritional status. Our survey highlights also subsequent anthropometrical phenotypes, with an over-representation of abdominal obesity with normal BMI in SCA patients, and affecting almost exclusively females in both genotypes. Moreover, more frequent positive history of acute chest syndrome (ACS) was observed in SCA patients with TG level higher than 1.50 g/l, and of osteonecrosis in SCC patients having non high-density lipoprotein-cholesterol level (Non HDL-C) higher than 1.30 g/l. CONCLUSIONS This study reveals that SCA and SCC patients exhibit distinct lipid profiles and suggests that high TG and Non HDL-C levels are associated with past histories of ACS and osteonecrosis in SCA and SCC patients, respectively.
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Affiliation(s)
- Marie-Laure Lalanne-Mistrih
- Université des Antilles, CHU de Pointe-à-Pitre, Guadeloupe, Université Sorbonne Paris Cité, Université Paris Diderot, Inserm, INTS, Unité Biologie Intégrée du Globule Rouge UMR_S1134, laboratoire d'Excellence GR-Ex, Paris, France
- Centre d'investigation Clinique Antilles Guyane, Inserm/DGOS CIC 14-24, enceinte de l'Institut Pasteur, Pointe-À-Pitre, Guadeloupe, France
| | - Philippe Connes
- Université des Antilles, CHU de Pointe-à-Pitre, Guadeloupe, Université Sorbonne Paris Cité, Université Paris Diderot, Inserm, INTS, Unité Biologie Intégrée du Globule Rouge UMR_S1134, laboratoire d'Excellence GR-Ex, Paris, France
- Institut Universitaire de France, Paris, France
- Laboratoire LIBM EA7424, Equipe « Biologie Vasculaire et du Globule Rouge », Laboratoire d'Excellence GR-Ex, Université de Lyon, Lyon, France
| | - Yann Lamarre
- Université des Antilles, CHU de Pointe-à-Pitre, Guadeloupe, Université Sorbonne Paris Cité, Université Paris Diderot, Inserm, INTS, Unité Biologie Intégrée du Globule Rouge UMR_S1134, laboratoire d'Excellence GR-Ex, Paris, France
| | - Nathalie Lemonne
- Unité Transversale de la Drépanocytose, CHU de Pointe à Pitre, Pointe-à-Pitre, Guadeloupe, France
| | - Marie-Dominique Hardy-Dessources
- Université des Antilles, CHU de Pointe-à-Pitre, Guadeloupe, Université Sorbonne Paris Cité, Université Paris Diderot, Inserm, INTS, Unité Biologie Intégrée du Globule Rouge UMR_S1134, laboratoire d'Excellence GR-Ex, Paris, France
| | - Vanessa Tarer
- Unité Transversale de la Drépanocytose, CHU de Pointe à Pitre, Pointe-à-Pitre, Guadeloupe, France
| | - Maryse Etienne-Julan
- Unité Transversale de la Drépanocytose, CHU de Pointe à Pitre, Pointe-à-Pitre, Guadeloupe, France
| | - Dominique Mougenel
- Unité Transversale de la Drépanocytose, CHU de Pointe à Pitre, Pointe-à-Pitre, Guadeloupe, France
| | - Benoît Tressières
- Centre d'investigation Clinique Antilles Guyane, Inserm/DGOS CIC 14-24, enceinte de l'Institut Pasteur, Pointe-À-Pitre, Guadeloupe, France
| | - Marc Romana
- Université des Antilles, CHU de Pointe-à-Pitre, Guadeloupe, Université Sorbonne Paris Cité, Université Paris Diderot, Inserm, INTS, Unité Biologie Intégrée du Globule Rouge UMR_S1134, laboratoire d'Excellence GR-Ex, Paris, France.
- UMR Inserm 1134, Hôpital Ricou, CHU de Pointe-à-Pitre, 97 157, Pointe-à-Pitre, Guadeloupe, France.
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Guardiola M, Ribalta J. Update on APOA5 Genetics: Toward a Better Understanding of Its Physiological Impact. Curr Atheroscler Rep 2017; 19:30. [DOI: 10.1007/s11883-017-0665-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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Lemche AV, Chaban OS, Lemche E. Depression contributing to dyslipidemic cardiovascular risk in the metabolic syndrome. J Endocrinol Invest 2017; 40:539-546. [PMID: 28012071 PMCID: PMC5390000 DOI: 10.1007/s40618-016-0601-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 12/11/2016] [Indexed: 12/18/2022]
Abstract
PURPOSE Triglycerides are considered an emerging risk factor for cardiovascular mortality. Recent evidence relating depression and metabolic syndrome (MetS) implicated triglyceride levels. We thus investigated interrelations of self-reported depression severity (Zung) and MetS-related biological measures with CVD risk estimates in MetS patients. METHODS N = 101 patients fulfilling International Diabetes Federation criteria for MetS from a nationwide sampled treatment cohort for MetS with familial T2DM risk or manifest T2DM in a Ukrainian governmental health care system were participants. Both laboratory and non-laboratory measures were included. Recent European cardiological SCORE system CVD risk estimates were used as outcome variables. RESULTS Following correlation matrix, we entered all variables into principal component analysis (PCA; 76.7% explained variance), followed by hierarchical regression and structural equation modeling (SEM). The PCA suggested a one-factor solution, where the latent variable showed highest loadings of SCORE risk estimates, triglycerides, depression severity, and pulse pressure. A comprehensive SEM was adjusted with 92.7% explained variance: overall CVD risk related to depression, pulse pressure, triglycerides, and fasting glucose. CONCLUSION The findings in this MetS sample suggest that triglycerides and depression severity are the key variables among MetS biomarkers in cross-sectionally associating with the fatal and total SCORE risk estimates in MetS.
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Affiliation(s)
| | - O. S. Chaban
- Section of Psychosomatic Medicine, Bogomolets National Medical University, Kiev, Ukraine
| | - E. Lemche
- Section of Cognitive Neuropsychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Box PO 69, De Crespigny Park, London, SE5 8AF UK
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Justesen JM, Andersson EA, Allin KH, Sandholt CH, Jørgensen T, Linneberg A, Jørgensen ME, Hansen T, Pedersen O, Grarup N. Increasing insulin resistance accentuates the effect of triglyceride-associated loci on serum triglycerides during 5 years. J Lipid Res 2016; 57:2193-2199. [PMID: 27777317 PMCID: PMC5321221 DOI: 10.1194/jlr.p068379] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 10/18/2016] [Indexed: 11/20/2022] Open
Abstract
Blood concentrations of triglycerides are influenced by genetic factors as well as a number of environmental factors, including adiposity and glucose homeostasis. The aim was to investigate the association between a serum triglyceride weighted genetic risk score (wGRS) and changes in fasting serum triglyceride level over 5 years and to test whether the effect of the wGRS was modified by 5 year changes of adiposity, insulin resistance, and lifestyle factors. A total of 3,474 nondiabetic individuals from the Danish Inter99 cohort participated in both the baseline and 5 year follow-up physical examinations and had information on the wGRS comprising 39 genetic variants. In a linear regression model adjusted for age, sex, and baseline serum triglyceride, the wGRS was associated with increased serum triglyceride levels over 5 years [per allele effect = 1.3% (1.0-1.6%); P = 1.0 × 10-17]. This triglyceride-increasing effect of the wGRS interacted with changes in insulin resistance (Pinteraction = 1.5 × 10-6). This interaction indicated that the effect of the wGRS was stronger in individuals who became more insulin resistant over 5 years. In conclusion, our findings suggest that increased genetic risk load is associated with a larger increase in fasting serum triglyceride levels in nondiabetic individuals during 5 years of follow-up. This effect of the wGRS is accentuated by increasing insulin resistance.
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Affiliation(s)
- Johanne M Justesen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ehm A Andersson
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Kristine H Allin
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Camilla H Sandholt
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Faculty of Medicine, University of Aalborg, Aalborg, Denmark
| | - Allan Linneberg
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark; Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Marit E Jørgensen
- Steno Diabetes Center, Gentofte, Denmark; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Włodarczyk M, Wrzosek M, Nowicka G, Jabłonowska-Lietz B. Impact of variants in CETP and apo AI genes on serum HDL cholesterol levels in men and women from the Polish population. Arch Med Sci 2016; 12:1188-1198. [PMID: 27904507 PMCID: PMC5108385 DOI: 10.5114/aoms.2016.60870] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 11/03/2015] [Indexed: 12/29/2022] Open
Abstract
INTRODUCTION Polymorphisms in the cholesterol ester transfer protein (CETP) gene and apolipoprotein AI (apo AI) gene are identified as the most common genetic factors influencing high-density lipoprotein cholesterol (HDL cholesterol) levels. Low HDL cholesterol is an important risk factor for cardiovascular disease. We investigated the effect of the TaqIB polymorphism of the CETP gene and the 75G/A polymorphism of the apo AI gene on the HDL cholesterol concentration in a sample of Polish adults. MATERIAL AND METHODS A total of 621 subjects, 414 women and 207 men, were included in this study. Lipid levels were measured using standard protocols, and apolipoprotein AI was determined by immunoturbidimetric assay. CETP and apo AI genotyping was performed using a restriction fragment length polymorphism based method. RESULTS Significantly lower HDL cholesterol concentrations were found in B1B1 homozygotes than in carriers of the B2 allele of the TaqIB polymorphism in the CETP gene among both men and women. In GG homozygotes of the 75G/A polymorphism in the apo AI gene lower HDL cholesterol levels were observed, but the difference did not reach statistical significance. A statistically significant association of low HDL cholesterol (< 25th percentile) with CETP genotypes was found in women (p < 0.0001) and in men (p = 0.0368). CONCLUSIONS These data demonstrate a significant impact of the TaqIB polymorphism in the CETP gene on HDL cholesterol levels in the studied Polish population, while the effect of the 75G/A polymorphism in the apo AI gene appears not to be significant.
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Affiliation(s)
- Marta Włodarczyk
- Department of Pharmacogenomics, Department of Biochemistry and Clinical Chemistry, Faculty of Pharmacy with Division of Laboratory Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Małgorzata Wrzosek
- Department of Pharmacogenomics, Department of Biochemistry and Clinical Chemistry, Faculty of Pharmacy with Division of Laboratory Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grażyna Nowicka
- Department of Pharmacogenomics, Department of Biochemistry and Clinical Chemistry, Faculty of Pharmacy with Division of Laboratory Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Beata Jabłonowska-Lietz
- Center of Promotion of Healthy Nutrition and Physical Activity, National Food and Nutrition Institute, Warsaw, Poland
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Simons N, Dekker JM, van Greevenbroek MMJ, Nijpels G, 't Hart LM, van der Kallen CJH, Schalkwijk CG, Schaper NC, Stehouwer CDA, Brouwers MCGJ. A Common Gene Variant in Glucokinase Regulatory Protein Interacts With Glucose Metabolism on Diabetic Dyslipidemia: the Combined CODAM and Hoorn Studies. Diabetes Care 2016; 39:1811-7. [PMID: 27660121 DOI: 10.2337/dc16-0153] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Accepted: 05/28/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Small molecules that disrupt the binding between glucokinase and glucokinase regulatory protein (GKRP) are potential new glucose-lowering targets. They stimulate hepatic glucose disposal by increasing glucokinase activity in the liver. It can, however, be anticipated that increased hepatic glucokinase activity might be accompanied by the development of hypertriglyceridemia, particularly in type 2 diabetes. We examined whether the strength of association between rs1260326, a common, functional gene variant in GKRP, and plasma lipids is affected by glucose metabolism. RESEARCH DESIGN AND METHODS rs1260326 was genotyped in subjects with normal glucose metabolism (n = 497), subjects with impaired glucose metabolism (n = 256), and patients with type 2 diabetes (n = 351) in the combined Hoorn and Cohort on Diabetes and Atherosclerosis Maastricht (CODAM) studies. RESULTS The strength of association between the rs1260326 minor T allele and plasma triglycerides increased from normal glucose metabolism to impaired glucose metabolism to type 2 diabetes (P for interaction = 0.002). The inverse relation between rs1260326 and plasma HDL cholesterol was again most prominent in type 2 diabetes (P for interaction = 0.004). Similar trends were observed when the Hoorn and CODAM cohorts were analyzed separately. Comparable results were obtained when glucose metabolism strata were replaced by continuous indices of glucose metabolism, i.e., HbA1c and fasting plasma glucose. CONCLUSIONS These findings illustrate that common gene variants, such as rs1260326, can have substantial effect sizes when they are studied in specific populations, such as type 2 diabetes. Moreover, our results shed light on potential side effects of small molecule disruptors of the GKRP-glucokinase complex, especially when glucose control is suboptimal.
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Affiliation(s)
- Nynke Simons
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - Jacqueline M Dekker
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Marleen M J van Greevenbroek
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - Giel Nijpels
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands Department of Molecular Cell Biology, Leiden University Medical Center, Leiden, the Netherlands Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Carla J H van der Kallen
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - Casper G Schalkwijk
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
| | - Nicolaas C Schaper
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands School for Public Health and Primary Care (CAPHRI), Maastricht, the Netherlands
| | - Coen D A Stehouwer
- Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Martijn C G J Brouwers
- Division of Endocrinology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Laboratory for Metabolism and Vascular Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands
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24
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Abstract
Genetic factors contribute importantly to the risk of coronary artery disease (CAD), and in the past decade, there has been major progress in this area. The tools applied include genome-wide association studies encompassing >200,000 individuals complemented by bioinformatic approaches, including 1000 Genomes imputation, expression quantitative trait locus analyses, and interrogation of Encyclopedia of DNA Elements, Roadmap, and other data sets. close to 60 common SNPs (minor allele frequency>0.05) associated with CAD risk and reaching genome-wide significance (P<5 × 10(-8)) have been identified. Furthermore, a total of 202 independent signals in 109 loci have achieved a false discovery rate (q<0.05) and together explain 28% of the estimated heritability of CAD. These data have been used successfully to create genetic risk scores that can improve risk prediction beyond conventional risk factors and identify those individuals who will benefit most from statin therapy. Such information also has important applications in clinical medicine and drug discovery by using a Mendelian randomization approach to interrogate the causal nature of many factors found to associate with CAD risk in epidemiological studies. In contrast to genome-wide association studies, whole-exome sequencing has provided valuable information directly relevant to genes with known roles in plasma lipoprotein metabolism but has, thus far, failed to identify other rare coding variants linked to CAD. Overall, recent studies have led to a broader understanding of the genetic architecture of CAD and demonstrate that it largely derives from the cumulative effect of multiple common risk alleles individually of small effect size rather than rare variants with large effects on CAD risk. Despite this success, there has been limited progress in understanding the function of the novel loci; the majority of which are in noncoding regions of the genome.
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Affiliation(s)
- Ruth McPherson
- From the Department of Medicine, Atherogenomics Laboratory, Division of Cardiology, Ruddy Canadian Cardiovascular Genetics Center, University of Ottawa Heart Institute, Ottawa, Ontario, Canada (R.M.); and Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, and Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (A.T.-H.).
| | - Anne Tybjaerg-Hansen
- From the Department of Medicine, Atherogenomics Laboratory, Division of Cardiology, Ruddy Canadian Cardiovascular Genetics Center, University of Ottawa Heart Institute, Ottawa, Ontario, Canada (R.M.); and Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, and Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (A.T.-H.)
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25
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Lemche E, Chaban OS, Lemche AV. Neuroendocrinological and Epigenetic Mechanisms Subserving Autonomic Imbalance and HPA Dysfunction in the Metabolic Syndrome. Front Neurosci 2016; 10:142. [PMID: 27147943 PMCID: PMC4830841 DOI: 10.3389/fnins.2016.00142] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 03/21/2016] [Indexed: 12/18/2022] Open
Abstract
Impact of environmental stress upon pathophysiology of the metabolic syndrome (MetS) has been substantiated by epidemiological, psychophysiological, and endocrinological studies. This review discusses recent advances in the understanding of causative roles of nutritional factors, sympathomedullo-adrenal (SMA) and hypothalamic-pituitary adrenocortical (HPA) axes, and adipose tissue chronic low-grade inflammation processes in MetS. Disturbances in the neuroendocrine systems for leptin, melanocortin, and neuropeptide Y (NPY)/agouti-related protein systems have been found resulting directly in MetS-like conditions. The review identifies candidate risk genes from factors shown critical for the functioning of each of these neuroendocrine signaling cascades. In its meta-analytic part, recent studies in epigenetic modification (histone methylation, acetylation, phosphorylation, ubiquitination) and posttranscriptional gene regulation by microRNAs are evaluated. Several studies suggest modification mechanisms of early life stress (ELS) and diet-induced obesity (DIO) programming in the hypothalamic regions with populations of POMC-expressing neurons. Epigenetic modifications were found in cortisol (here HSD11B1 expression), melanocortin, leptin, NPY, and adiponectin genes. With respect to adiposity genes, epigenetic modifications were documented for fat mass gene cluster APOA1/C3/A4/A5, and the lipolysis gene LIPE. With regard to inflammatory, immune and subcellular metabolism, PPARG, NKBF1, TNFA, TCF7C2, and those genes expressing cytochrome P450 family enzymes involved in steroidogenesis and in hepatic lipoproteins were documented for epigenetic modifications.
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Affiliation(s)
- Erwin Lemche
- Section of Cognitive Neuropsychiatry, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK
| | - Oleg S Chaban
- Section of Psychosomatic Medicine, Bogomolets National Medical University Kiev, Ukraine
| | - Alexandra V Lemche
- Department of Medical Science, Institute of Clinical Research Berlin, Germany
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26
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Klimentidis YC, Arora A. Interaction of Insulin Resistance and Related Genetic Variants With Triglyceride-Associated Genetic Variants. ACTA ACUST UNITED AC 2016; 9:154-61. [PMID: 26850992 DOI: 10.1161/circgenetics.115.001246] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 01/27/2016] [Indexed: 12/24/2022]
Abstract
BACKGROUND Several studies suggest that some triglyceride-associated single-nucleotide polymorphisms (SNPs) have pleiotropic and opposite effects on glycemic traits. This potentially implicates them in pathways such as de novo lipogenesis, which is presumably upregulated in the context of insulin resistance. We therefore tested whether the association of triglyceride-associated SNPs with triglyceride levels differs according to one's level of insulin resistance. METHODS AND RESULTS In 3 cohort studies (combined n=12 487), we tested the interaction of established triglyceride-associated SNPs (individually and collectively) with several traits related to insulin resistance, on triglyceride levels. We also tested the interaction of triglyceride SNPs with fasting insulin-associated SNPs, individually and collectively, on triglyceride levels. We find significant interactions of a weighted genetic risk score for triglycerides with insulin resistance on triglyceride levels (Pinteraction=2.73×10(-11) and Pinteraction=2.48×10(-11) for fasting insulin and homeostasis model assessment of insulin resistance, respectively). The association of the triglyceride genetic risk score with triglyceride levels is >60% stronger among those in the highest tertile of homeostasis model assessment of insulin resistance compared with those in the lowest tertile. Individual SNPs contributing to this trend include those in/near GCKR, CILP2, and IRS1, whereas PIGV-NROB2 and LRPAP1 display an opposite trend of interaction. In the pooled data set, we also identify a SNP-by-SNP interaction involving a triglyceride-associated SNP, rs4722551 near MIR148A, with a fasting insulin-associated SNP, rs4865796 in ARL15 (Pinteraction=4.1×10(-5)). CONCLUSIONS Our findings may thus provide genetic evidence for the upregulation of triglyceride levels in insulin-resistant individuals, in addition to identifying specific genetic loci and a SNP-by-SNP interaction implicated in this process.
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Affiliation(s)
- Yann C Klimentidis
- From the Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson.
| | - Amit Arora
- From the Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson
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27
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Guo T, Yin RX, Huang F, Yao LM, Lin WX, Pan SL. Association between the DOCK7, PCSK9 and GALNT2 Gene Polymorphisms and Serum Lipid levels. Sci Rep 2016; 6:19079. [PMID: 26744084 PMCID: PMC4705473 DOI: 10.1038/srep19079] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 12/04/2015] [Indexed: 01/02/2023] Open
Abstract
This study was to determine the association between several single nucleotide polymorphisms (SNPs) in the dedicator of cytokinesis 7 (DOCK7), proprotein convertase subtilisin/kexin type 9 (PCSK9) and polypeptide N-acetylgalactosaminyltransferase 2 (GALNT2) and serum lipid levels. Genotyping of 9 SNPs was performed in 881 Jing subjects and 988 Han participants. Allele and genotype frequencies of the detected SNPs were different between the two populations. Several SNPs were associated with triglyceride (TG, rs10889332, rs615563, rs7552841, rs1997947, rs2760537, rs4846913 and rs11122316), high-density lipoprotein (HDL) cholesterol (rs1997947), low-density lipoprotein (LDL) cholesterol (rs1168013 and rs7552841), apolipoprotein (Apo) A1 (rs1997947), ApoB (rs10889332 and rs7552841), and ApoA1/ApoB ratio (rs7552841) in Jing minority; and with TG (rs10889332, rs615563, rs7552841, rs11206517, rs1997947, rs4846913 and rs11122316), HDL cholesterol (rs11206517 and rs4846913), LDL cholesterol (rs1168013), ApoA1 (rs11206517 and rs4846913), ApoB (rs7552841), and ApoA1/ApoB ratio (rs4846913) in Han nationality. Strong linkage disequilibria were noted among the SNPs. The commonest haplotype was G-C-G-C-T-G-C-C-G (>10%). The frequencies of C-C-G-C-T-G-T-C-G, G-C-A-C-T-G-C-C-G, G-C-G-C-T-A-C-C-A, G-C-G-C-T-G-C-C-A, G-C-G-C-T-G-T-C-A haplotypes were different between the two populations. Haplotypes could explain much more serum lipid variation than any single SNP alone especially for TG. Differences in lipid profiles between the two populations might partially attribute to these SNPs and their haplotypes.
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Affiliation(s)
- Tao Guo
- Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Nanning 530021, Guangxi, China
| | - Rui-Xing Yin
- Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Nanning 530021, Guangxi, China
| | - Feng Huang
- Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Nanning 530021, Guangxi, China
| | - Li-Mei Yao
- Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Nanning 530021, Guangxi, China
| | - Wei-Xiong Lin
- Department of Molecular Genetics, Medical Scientific Research Center, Nanning 530021, Guangxi, China
| | - Shang-Ling Pan
- Department of Pathophysiology, School of Premedical Sciences, Guangxi Medical University, Nanning 530021, Guangxi, China
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28
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Smith JA, Ware EB, Middha P, Beacher L, Kardia SLR. Current Applications of Genetic Risk Scores to Cardiovascular Outcomes and Subclinical Phenotypes. CURR EPIDEMIOL REP 2015; 2:180-190. [PMID: 26269782 PMCID: PMC4527979 DOI: 10.1007/s40471-015-0046-4] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Genetic risk scores are a useful tool for examining the cumulative predictive ability of genetic variation on cardiovascular disease. Important considerations for creating genetic risk scores include the choice of genetic variants, weighting, and comparability across ethnicities. Genetic risk scores that use information from genome-wide meta-analyses can successfully predict cardiovascular outcomes and subclinical phenotypes, yet there is limited clinical utility of these scores beyond traditional cardiovascular risk factors in many populations. Novel uses of genetic risk scores include evaluating the genetic contribution of specific intermediate traits or risk factors to cardiovascular disease, risk prediction in high-risk populations, gene-by-environment interaction studies, and Mendelian randomization studies. Though questions remain about the ultimate clinical utility of the genetic risk score, further investigation in high-risk populations and new ways to combine genetic risk scores with traditional risk factors may prove to be fruitful.
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Affiliation(s)
- Jennifer A. Smith
- />Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109 USA
| | - Erin B. Ware
- />Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109 USA
- />Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104 USA
| | - Pooja Middha
- />Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109 USA
| | - Lisa Beacher
- />Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109 USA
| | - Sharon L. R. Kardia
- />Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109 USA
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29
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Abstract
PURPOSE OF REVIEW Recent genome-wide association studies have identified numerous common genetic variants associated with plasma lipid traits and have provided new insights into the regulation of lipoprotein metabolism including the identification of novel biological processes. These findings add to a body of existing data on dietary and environmental factors affecting plasma lipids. Here we explore how interactions between genetic risk factors and other phenotypes may explain some of the missing heritability of plasma lipid traits. RECENT FINDINGS Recent studies have identified true statistical interaction between several environmental and genetic risk factors and their effects on plasma lipid fractions. These include interactions between behaviors such as smoking or exercise as well as specific dietary nutrients and the effect size of specific genetic variants on plasma lipid traits risk and modifying effects of measures of adiposity on the cumulative impact of a number of common genetic variants on each of plasma triglycerides and HDL cholesterol. SUMMARY Interactions between genetic risk factors and clinical phenotypes may account for some of the unexplained heritability of plasma lipid traits. Recent studies provide biological insight into specific genetic associations and may aid in the identification of dyslipidemic patients for whom specific lifestyle interventions are likely to be most effective.
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Affiliation(s)
- Christopher B Cole
- aAtherogenomics Laboratory bRuddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada
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