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        Differential distribution of gene polymorphisms associated with hypercholesterolemia, hypertriglyceridemia, and hypoalphalipoproteinemia among Native American and Mestizo Mexicans

        2022-09-01 01:47:34RafaelTorresValadezSoniaRomanClaudiaOjedaGranadosKarinaGonzalezAldacoArturoPanduro
        World Journal of Hepatology 2022年7期

        Rafael Torres-Valadez, Sonia Roman, Claudia Ojeda-Granados, Karina Gonzalez-Aldaco, Arturo Panduro

        Rafael Torres-Valadez, Sonia Roman, Claudia Ojeda-Granados, Karina Gonzalez-Aldaco, Arturo Panduro, Department of Genomic Medicine in Hepatology, Civil Hospital of Guadalajara Fray Antonio Alcalde/Health Sciences Center, University of Guadalajara, Guadalajara, Jalisco 44280, Mexico

        Rafael Torres-Valadez, Unidad Especializada en Investigación, Desarrollo e Innovación en Medicina Genómica Centro Nayarita de Innovación y Transferencia de Tecnología, Universidad Autónoma de Nayarit, Unidad Académica de Salud Integral, Tepic, Nayarit 63173, Mexico

        Abstract BACKGROUND Dyslipidemias are metabolic abnormalities associated with chronic diseases caused by genetic and environmental factors. The Mexican population displays regional differences according to ethnicity with an impact on the type of dyslipidemia.AIM To define the main dyslipidemias, the frequency of lipid-related risk alleles, and their association with hyperlipidemic states among different ethnic groups in West Mexico.METHODS In a retrospective study, 1324 adults were selected to compare dyslipidemias and lipid-related gene polymorphisms. Demographic, clinical, and laboratory data were collected. A subgroup of 196 normal weight subjects without impaired glucose was selected for the association analyses. Genotyping was determined by allelic discrimination assay.RESULTS Hypercholesterolemia was the most prevalent dyslipidemia (42.3%). The frequency of the risk alleles associated with hypoalphalipoproteinemia (ABCA1) and hypercholesterolemia (APOE, LDLR) was higher in the Native Americans (P = 0.047). In contrast, the Mestizos with European ancestry showed a higher frequency of the risk alleles for hypertriglyceridemia (APOE2, MTTP) (P = 0.045). In normal weight Mestizo subjects, the APOB TT and LDLR GG genotypes were associated risk factors for hypercholesterolemia (OR = 5.33, 95%CI: 1.537-18.502, P = 0.008 and OR = 3.90, 95%CI: 1.042-14.583, P = 0.043, respectively), and displayed an increase in low-density lipoprotein cholesterol levels (APOB: β = 40.39, 95%CI: 14.415-66.366, P = 0.004; LDLR: β = 20.77, 95%CI: 5.763-35.784, P = 0.007).CONCLUSION Gene polymorphisms and dyslipidemias showed a differential distribution. Regional primary health care strategies are required to mitigate their prevalence considering the genetic and environmental features which could have important implications for personalized medicine within the new era of precision medicine.

        Key Words: Dyslipidemia; Ethnicity; Genes; Obesity; Lipids; Liver disease; Diet

        lNTRODUCTlON

        Obesity is a leading health problem worldwide of epidemic proportions affecting the health of many societies regardless of socioeconomic status[1]. Currently, 75.2% of the Mexican adult population has excess weight (39.1% overweight and 36.1% obesity), and in recent years, Mexico has ranked first and second in the worldwide list of obesity[2,3]. Globalization is one of the main drivers of the national nutrition transition occurring in the last four decades[4]. It has shifted the consumption of the staple traditional Mexican diet towards high-calorie processed food products and sugary beverages, leading to unhealthy body weight and type 2 diabetes mellitus (T2DM) in the general population[5,6]. The leading causes of mortality in Mexico are T2DM, cardiovascular disease (CVD), and liver cirrhosis due to different etiologies; however, excess weight plays an important role in the development of these pathologies[7,8].

        Dyslipidemia is one of the main metabolic alterations involved in these obesity-related co-morbidities[9]. Commonly, hypertriglyceridemia (HTG) is associated with insulin resistance which in turn causes both T2DM and liver fibrosis/cirrhosis, while hypercholesterolemia (HChol) is associated with CVD[10]. However, up to 30% of obese people do not have lipid abnormalities, while normal weight patients can present dyslipidemia[11,12]. It is also feasible that lean patients may present with nonalcoholic steatohepatitis (NASH), while some obese patients show no fatty liver or NASH[12]. These contrasting findings suggest that genetic and environmental factors are involved.

        In terms of population genetics, 85% of Mexico's inhabitants are denoted Mestizos (MTZ) due to the admixture of Native American (NA), European, and African ancestral source populations that were initiated 500 years ago after the Spanish conquest. In comparison, 10% and 5% are exclusively descendants of NA and African forefathers, respectively[13]. Concomitantly, with foodstuffs and food cuisine, a cultural syncretism between the eastern hemisphere (Spain, Africa, France, England) and the west (the Americas) took place, including the different geographic and ecological regions of Mexico[14]. Therefore, Mexico's population genetics and food culture are widely heterogenic, and the impact of these determinants can vary by region.

        In this sense, the association of several single nucleotide polymorphisms (SNPs) located at different loci with dyslipidemias and their impact on non-communicable chronic diseases among the Mexicans has been acknowledged[15]. Distinctively,APOE4,APOB-516 C/T, as well as theLDLRA1413G and C52T are known to modulate the low-density lipoprotein cholesterol (LDL-c) levels and the susceptibility for HChol and CVD[16]. In the case of high-density lipoprotein cholesterol (HDL-c), theABCA1R230C variant has been strongly associated with hypoalphalipoproteinemia (HALP), particularly in NA[17]. Additionally, theMTTP-943 G/T and theMTHFRC677T variants, as well as theAPOE2allele, have been associated with increased triglycerides levels[18,19,20].

        West Mexico′s population is characterized by NA inhabitants living in the rural areas, while the geographically dispersed MTZ populations have a variable degree of European and NA ancestries[21]. Previously, we documented that theAPOE4allele is widespread among the NA but decreases significantly among the MTZ population with marked European ancestry, while conversely, theAPOE2allele is predominant among this group[21,22]. However, studies jointly accessing these lipid-related gene polymorphisms have not been carried out among West Mexican populations. Thus, this study aimed to define the main dyslipidemias, the frequency of lipid-related risk alleles, and their association with hyperlipidemic states among different subpopulations.

        MATERlALS AND METHODS

        Study population and design

        In this comparative cross-sectional study, a total of 1324 un-related adult individuals were retrospectively evaluated from January 2015 to December 2019 at the Department of Genomic Medicine in Hepatology, Civil Hospital of Guadalajara, "Fray Antonio Alcalde" in Guadalajara, Jalisco, Mexico. Each subject was interviewed, and a standardized questionnaire was used to register demographics, medical history, and laboratory data. The main exclusion criteria were the presence of any type of cancer, autoimmune and thyroid diseases, drug use in the last six months of recruitment, pregnant women, and use of hypolipidemic drugs.

        In this study, populations of West Mexico with evidence of a representative NA ancestral component[22] were included, Nahua (NAH) (n= 84) and Wixárika (WXK) or “Huicholes” (n= 106) are indigenous ethnic groups, and five Mestizo populations: Guadalajara (GDL), Jalisco (n= 754), Tepic (TPC), Nayarit (n= 184), Cuquio (CUQ), Jalisco (n= 131), Villa Purificación (VP), Jalisco (n= 32), and San Miguel el Alto (SMA), Jalisco (n= 33). NA were identified according to the ethnic group, native language spoken, use of traditional attire, parents belonging to the ethnic group, and residence in a rural community. The Mestizo populations were defined as those born in Mexico, spoke Spanish, had Mexican parents, and did not belong to any native ethnicity.

        For the association analyses between HChol and the related SNPs, 193 Mestizo subjects from GDL, Jalisco with normal weight determined by a body mass index (BMI) of 18.5-24.9 kg/m2and a body fat percentage of < 20% for men and < 30% for women, as well as without impaired glucose defined by fasting serum glucose of < 100 mg/dL and homoeostasis model assessment for insulin resistance (HOMA-IR) index < 2.5 were selected. This study subgroup was established as a reference population to decipher the influence of these genetic polymorphisms on dyslipidemia, since it is mestizo group with a more balanced genetic ancestry between NA and Europeans.

        Definition for dyslipidemias

        Dyslipidemias were defined according to the National Cholesterol Education Program expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (ATP III) and Mexican Official Norm 037 for the prevention, treatment, and control of dyslipidemias (NOM-037-SSA-2012): HChol was total cholesterol (TC) ≥ 200 mg/dL; HTG as triglycerides (TG) ≥ 150 mg/dL; HALP as HDL-c ≤ 40 mg/dL for men and ≤ 50 mg/dL for women; and high LDL-c as LDL-c ≥ 130 mg/dL[23,24].

        Body composition

        Body composition and BMI were assessed by bioelectrical impedance (InBody 3.0, Analyzer Body Composition, Biospace, South Korea) or a Tanita TBF_300A instrument (Tanita Corporation, Japan). Normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obesity (≥ 30 kg/m2) were defined according to World Health Organization criteria[25].

        Laboratory tests

        Blood samples (10 mL) were obtained by venipuncture after a 12-h overnight fast. Biochemical tests included glucose, insulin, alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, TC, TG, and HDL-c. All biochemical tests were determined with the AU5800 Clinical Chemistry System (Beckman Coulter's Inc. United States). The concentration of LDL-c was calculated using the Friedewald equation[26]. The very low-density lipoprotein-cholesterol (VLDL-c) was estimated by the formula of TC-(LDL-c + HDL-c). The HOMA-IR index was calculated with fasting plasma glucose (mg/dL) × fasting serum insulin (mU/L)/405. IR was defined as a HOMA-IR index of 2.5 or above to assess IR as a metabolic alteration.

        DNA extraction and genotyping characterization

        As previously described, genomic DNA (gDNA) was extracted from leukocytes using a modified salting-out method[27]. The genotypes of each SNPs were determined by a real-time PCR system using TaqMan?SNP Genotyping Assays (Applied Biosystems, Foster, CA, United States). The characteristics of context sequence of these probes correspond to the following catalog numbers: C_11720861_10 forABCA1(rs9282541), C_7615488_10 forAPOB(rs934197), C_8726910_10 and C_8726960_10 forLDLR(rs5930 & rs14158), C_1202883_20 forMTHFR(rs1801133), C_ 8934089_10 forMTTP(rs1800591), and C_3084793_20 and C_904973_10 forAPOE(rs429358 & rs7412) (ThermoFisher Scientific). gDNA was used at a final concentration of 20 ng. PCR conditions were initial enzyme activation for 10 min at 95 °C, followed by 40 cycles of denaturalization for 15 s at 95 °C and alignment/extension for 1 min at 60 °C in a StepOnePlus thermocycler (Applied Biosystems, Foster, CA, United States). For genotype error checking, three positive controls corresponding to the possible genotypes for each SNP and a blank were included in every 96-well plate. A 20% of randomly selected samples were re-genotyped, of which 100% were concordant. Genotypic and allelic frequencies were obtained by the direct counting method. The Hardy-Weinberg equilibrium expectation was assessed by Arlequin version 3.1.

        Statistical analysis

        Kolmogorov-Smirnov test was used to analyze the normal distribution of all quantitative variables. Continuous variables were expressed as mean ± SD and categorical variables were reported as frequencies and percentages. Data with normal distribution was analyzed with parametric statistical tests (student'st-test and one-way ANOVA with the respective post-hoc analyses) and non-normal data through non-parametric statistical tests (Kruskal-Wallis and Mann-Whitney U). The chi-square was used when variables were categorical. Univariate and multivariate logistic and linear regression tests were performed to analyze the association ofAPOB-516C/T andLDLRA1413G SNPs as a risk factor for HChol. The results were expressed as odds ratio with 95%CI andR2. All the tests with significantPvalue were corrected by the Bonferroni method. Statistical analyses were performed in the statistical program IBM SPSS Statistics version 21.0 for Windows (IBM Corp, Inc., Chicago, IL, United States). Statistical significance was set atP< 0.05 to two-tailed.

        Ethical guidelines

        The study protocol complied with the last updated ethical guidelines of the 2013 Declaration of Helsinki from Fortaleza, Brazil. This study was revised and approved by the Institutional Review Board. All patients signed a written informed consent before enrollment, and anonymized data was employed to continue the statistical analysis.

        RESULTS

        Clinical and lipidic characteristics of the study populations

        The clinical characteristics and the lipid profile of study populations from West Mexico are depicted in Table 1. The average age and gender frequencies were similar among the seven groups, except for the higher frequency of men in the MTZ from TPC compared with the other groups (P= 0.001). All the groups had excess weight, but the MTZ group from GDL had the highest BMI (33.8 ± 10.3 kg/m2,P= 8 × 10-27). The lipid profile showed differences by study group. MTZ from TPC had higher serum levels of TC, TG, and LDL-c compared to the rest of the study groups (P< 0.05). On the other hand, the NAH group showed lower levels of HDL-c than those from CUQ and WXK groups (P= 0.011).

        Table 1 Clinical characteristics and lipid profile of West Mexico populations

        Prevalence of dyslipidemias in West Mexico populations

        Table 2 shows the prevalence of dyslipidemias in the populations from West Mexico. The most prevalent dyslipidemia was HChol, with 42.3%. HTG was detected in 40.4%, HALP in 37.8%, and high LDL-c in 35.8% of all study subjects. Among study populations, heterogeneity in the frequency of dyslipidemias was observed. The MTZ from TPC and VP had the highest frequency of HChol and HTG (75.5%, 65.6%, and 51.1%, 46.9% respectively,P= 0.001). The NAH group showed a lower frequency of HChol (7.1%), as well as MTZ from VP and WXK group a lower prevalence of HALP compared to the other study groups (15.6% and 26.4%, respectively,P= 0.002) (Table 2).

        Table 2 Prevalence of the type of dyslipidemias in West Mexico populations

        Frequency of risk alleles of SNPs associated with dyslipidemias in West Mexican populations

        The genetic risk alleles associated with HALP (ABCA1R230C,RC + CC genotypes) and HChol (APOE4allele andLDLR1413G allele) were more prevalent in the NAH and WXK groups compared to the other study groups (P= 0.047) (Table 3). The MTZ from VP and SMA showed a higher frequency of the risk alleles that have been associated with HTG (APOE2allele andMTTP-943G/T, T allele) compared with the other groups (P= 0.045) (Table 3).

        Table 3 Frequency of risk allele of polymorphisms associated with lipid disorders in West Mexican populations

        Association of APOB -516C/T and LDLR A1413G polymorphisms with hypercholesterolemia in normal-weight MTZ individuals

        The clinical and biochemical characteristics of the 193 MTZ subjects selected to evaluate the possible effect of these Hchol-related polymorphisms are shown in Table 4. In this study subgroup, 38.9% (n= 75) had any type of dyslipidemia and HChol was the most prevalent with 27.9% (n= 54) (Table 4).

        Table 4 Clinical and biochemical characteristics and frequency of dyslipidemias in normal weight Mestizos individuals

        Table 5 depicts the lipid profile and frequency of dyslipidemias according to the SNPsAPOB-516C/T andLDLRA1413G genotypes.APOBhomozygous TT genotype carriers had significantly higher levels of TC (P= 0.033) and LDL-c (P= 0.017), as well as a higher frequency of HChol (P= 0.012) (Table 5). Besides, the carriers of the homozygous GG genotype ofLDLRhad significantly higher levels of LDL-c (P= 0.042) and higher frequency of HChol (P= 0.034) (Table 5).

        Table 5 Association of APOB -516C/T and LDLR A1413G polymorphism with lipid levels in normal weight Mestizos individuals

        As shown in Table 6, the frequency of subjects with HChol was greater among carriers of the homozygous genotypes TT ofAPOBand GG ofLDLRthan the non-HChol (26.1%vs6.9%,P= 0.005; 60.9%vs.38.6%,P= 0.043, respectively). Also, both genotypes, TT ofAPOBand GG ofLDLRwere associated with HChol (OR = 5.33, 95%CI: 1.537-18.502,P= 0.008; OR = 3.90 95%CI: 1.042-14.583,P= 0.043, respectively) (Table 6).

        Table 6 Association of APOB and LDLR genotypes with hypercholesterolemia in normal weight Mestizos individuals

        Finally, through a linear regression test, an increase of 30% higher LDL-c was associated with the homozygous TT genotype ofAPOB(R2= 0.30, β = 40.39, 95%CI: 14.415-66.366,P= 0.004), and an increase of 11% higher LDL-c was associated with the GG genotype ofLDLR(R2= 0.11 β = 20.77, 95%CI: 5.763-35.784,P= 0.007) (Table 7).

        Table 7 lncreased serum level of low-density lipoprotein cholesterol associated with APOB and LDLR genotypes in individuals with normal weight from West Mexico

        DlSCUSSlON

        Dyslipidemias are severe abnormalities commonly associated with excessive body fat, a pathogenic factor contributing to the development of co-morbidities such as T2DM, fatty liver disease, and CVD[28]. However, genetic and environmental factors cause differences across the country in the incidence of these pathologies. Previously, we have documented the admixed genetic architecture of West Mexico[21,22]. In this region, NAH and WXK are representative of the NA genetic component, while the inhabitants of TPC, GDL, CUQ, VP, and SMA are historically known to carry a significant European genetic component. Therefore, we hypothesized that the distribution of dyslipidemias and the lipidrelated alleles could be variable according to the ancestral inheritance. Herein, we present the first study jointly detecting several lipid-related risk alleles that confer dyslipidemia among the West Mexican population. An evident heterogeneity in the type of dyslipidemia and lipid-related risk alleles was observed between the study groups consistent with their genetic and environmental background.

        Overall, the most prevalent dyslipidemia was HChol (42.3%). These data were discrepant with the National Health and Nutrition Survey 2006 and 2018, with HALP in nearly 60% nationwide[29,30]. A plausible explanation is that national surveys tend to focus on central regions of the country in which the NA component is predominant compared to West Mexico, in which the European ancestry is more prevalent. Furthermore, the breakdown analysis of the type of dyslipidemias adjusted by study group revealed that the NA had lower HChol (7.1%) while the MTZ from TPC and VP had higher rates of HChol (75.5% and 65.6%) and HTG (51.1% and 46.9%), respectively.

        Given this panorama of dyslipidemias, we explored the frequency of several SNPs associated with these lipid abnormalities finding that the NA groups showed genetic susceptibility for HChol and HALP (ABCA1230C allele,APOE4allele andLDLR1413G allele); while the frequency of the risk alleles associated with HTG (APOE2allele andMTTP-943T allele) were higher in MTZ groups with a significant European ancestry. Notably, theMTHFR677T risk allele prevalence revealed a high to low gradient (from NA to MTZ) which may have implications for fatty liver disease[31]. Thus, in conjunction, these findings highlight the importance of considering the ancestral components regarding the genetic susceptibility for lipid-related chronic diseases.

        Furthermore, in this study, the TT genotype ofAPOBand GG genotype ofLDLRwere associated as risk factors for HChol. APOB is the main structural protein of LDL lipoprotein, essential for the assembly and secretion of chylomicrons and VLDL lipoprotein, and it is the primary ligand for LDLr mediated internalization of LDL-c in target tissues[33]. An imbalance between the production and degradation of APOB-containing lipoproteins leads to the development of HChol and, potentially, atherosclerosis[32]. In this context,in vitrostudies have documented that the “T” allele of theAPOB-516C/T polymorphism increases the transcription of theAPOBgene by more than 40%. Consequently, this causes a substantial increase in plasma LDL-c concentration[34].

        Moreover, it was reported that in a healthy Swedish population, the -516T allele of this SNP increased the plasma LDL-c concentration by 12%, and in a French population was associated with a high plasma LDL-c concentration and the presence of carotid atherosclerotic disease[34,35]. In this study, the TT genotype ofAPOB-516C/T polymorphism increased the plasma LDL-c concentration by 30% in lean subjects. This is the highest percentage of LDL-c increase associated with the TT genotype ofAPOBreported so far. This information highlights that despite a lower frequency of -516T allele ofAPOBcompared to other populations, the genetic effect on the plasma LDL-c concentration is more remarkable.

        The most common genetic causes of HChol are mutations in the gene that codes the LDLr. These mutations drastically alter the functional activity of this surface receptor, thereby delaying the clearance of LDL particles[36]. Several studies have documented the relation ofLDLRA1413G polymorphism with pathologies involving lipid disorders. For example, this genetic variant was found in 17% of patients with familial hypercholesterolemia from Iran[37], and in the United States, this same polymorphism was associated with Alzheimer’s disease[38]. In this study, the GG genotype ofLDLRA1413G polymorphism was associated with HChol and increased plasma LDL-c concentration by 11%. This study is the first to establish a direct association between the GG genotype ofLDLRwith the levels of LDL-c and the presence of hypercholesterolemia in a healthy population from Mexico and Latin America.

        The implications of these findings require addressing the role of the interrelationship between dietrelated adaptive alleles and the current diet of the population. In this sense, NA groups have followed a frugal lifestyle for millennia in which lipid-related alleles may have been positively selected to cope with the Paleolithic and Neolithic Mesoamerican environments[39]. Their traditional diets mainly contained low amounts of saturated fats and were high in mono- and polyunsaturated vegetal fats and high complex carbohydrates which are protective against lipid-related chronic diseases despite the host’s “risk alleles”[40,41]. However, lifestyle changes caused by the current nutrition transition place at risk both the NA population and MTZ, regardless of the degree of European ancestry. Likewise, the MTZ may be at higher risk for HTG particularity if they are carriers of the European risk alleles if changes in the dietary pattern occur. In this sense, the current dietary patterns in Mexico are notably unhealthy, characterized as obesogenic and hepatopathogenic leading to considerable increase in the prevalence of non-communicable chronic diseases such as T2DM, CVD, and nonalcoholic fatty liver disease[12,20,41,42].

        Furthermore, dietary patterns are different by region nationwide. In West Mexico, the intake of pork meat is higher throughout the entire year. A traditional practice is eating pork rind “carnitas,” cracklings, and doing barbecues almost every weekend. On the other hand, the fast-paced lifestyle in the central region of the country led to the consumption of processed food, which is rich in saturated fatty acids, trans fat, and simple carbohydrates[42]. These elements have been associated with the presence of dyslipidemias, particularly HTG and HALP[43]. These results reflect that the epidemiological pattern of dyslipidemias is not homogeneous throughout the country and the necessity to perform comparatively specific studies per region in Mexico and other countries.

        This study has some limitations. First, despite that several representative populations of West Mexico with different ancestral compositions were included, it was not possible to complete the genetic profile of all populations. Nonetheless, the frequencies of risk alleles reported in this study are sufficient to demonstrate a differential distribution of gene polymorphisms associated with dyslipidemias among Native Americans and Mestizo Mexicans (Table 3). Next, the cross-sectional design may limit a complete extrapolation of the results obtained. Finally, the data was recorded through standardized questionnaires that provide sufficient and detailed information; information bias may be present. Thus, further prospective and longitudinal studies involving lipid-related genetic variants and lifestyle factors (physical activity, behavior, and mental health) are required.

        In summary, the frequency of dyslipidemias in West Mexico differed from the national reports. The NA groups (WXK and NAH) showed a greater genetic susceptibility for developing HChol and HALP. The TT genotype ofAPOB-516C/T and GG genotype ofLDLRA1413G were associated as risk factors for HChol and increased LDL-c levels in Mestizo healthy population.

        CONCLUSlON

        Given the differential distribution of gene polymorphisms and rate of dyslipidemias found in this study, primary health care strategies are required to establish preventive actions to mitigate their prevalence considering the regional genetic and cultural differences, which could have important implications for personalized medicine within the new era of precision medicine.

        ARTlCLE HlGHLlGHTS

        Research background

        Further investigations are needed to provide medical and nutritional therapies based on the genetic background of the population and the role of lifestyle changes including diet, exercise and mental health.

        Research motivation

        Given the differential distribution of gene polymorphisms and rate of dyslipidemias found in this study,primary health care strategies are required to establish preventive actions to mitigate their prevalence considering the regional genetic and cultural differences, which could have important implications for personalized medicine within the new era of precision medicine.

        Research objectives

        We aimed to describe if there are important differences between Native American and Mestizo Mexicans in regard to the type of dyslipidemias and lipid-related genetic polymorphisms.

        Research methods

        In this retrospective study, 1324 adults were selected to compare dyslipidemias and lipid-related gene polymorphisms. Demographic, clinical, and laboratory data were collected. A subgroup of 196 normal weight Mestizo subjects without impaired glucose was selected for the association analyses. Genotyping was determined by allelic discrimination assay.

        Research results

        The Native Americans showed a greater genetic susceptibility for developing hypercholesterolemia(HChol) (APOE4, LDLR) and hypoalphalipoproteinemia (ABCA1). The TT genotype of APOB -516C/T and GG genotype of LDLR A1413G were associated risk factors for HChol and increased low-density lipoprotein cholesterol levels in Mestizo healthy population.

        Research conclusions

        Deciphering the role of ethnicity in the type of dyslipidemia and defining the prevalence of lipid-related gene polymorphisms.

        Research perspectives

        Genetic and environmental factors are involved in the onset and progression of dyslipidemias among the Mexican population.

        ACKNOWLEDGEMENTS

        This work contains material from R. Valadez-Torres′s PhD thesis to obtain his doctoral research degree: “Doctorado en Ciencias de Biología Molecular en Medicina”, PNPC-CONACYT-MEXICO, Universidad de Guadalajara. The authors thank Eloy A. Zepeda-Carrillo, PhD for the Wixárika database.

        FOOTNOTES

        Author contributions:Panduro A conceived and designed the study; Torres-Valadez R, Ojeda-Granados C and Gonzalez-Aldaco K carried out experimentation, and data collection; Panduro A, Torres-Valadez R, Roman S, Ojeda-Granados C, Gonzalez-Aldaco K did analyses and interpretation of data; Torres-Valadez R drafted the manuscript. All authors critically revised the manuscript for intellectual content. All authors revised and approved the final version of the manuscript.

        lnstitutional review board statement:The study was reviewed and approved by the Institutional Review Board of the Civil Hospital of Guadalajara, Guadalajara, Jalisco, Mexico.

        lnformed consent statement:All patients signed a written informed consent before enrollment, and anonymized data was employed to continue the statistical analysis.

        Conflict-of-interest statement:All authors have no conflict of interest to disclose.

        Data sharing statement:The dataset is available from the corresponding author at apanduro@prodigy.net.mx.

        Open-Access:This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BYNC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is noncommercial. See: https://creativecommons.org/Licenses/by-nc/4.0/

        Country/Territory of origin:Mexico

        ORClD number:Rafael Torres-Valadez 0000-0001-7089-4343; Sonia Roman 0000-0001-7061-6634; Claudia Ojeda-Granados 0000-0001-9734-558X; Karina Gonzalez-Aldaco 0000-0001-5129-3307; Arturo Panduro 0000-0003-4784-748X.

        S-Editor:Zhang H

        L-Editor:A

        P-Editor:Zhang H

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