Genetic Influences Research Articles

Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank

The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found that within-person (non-directional) variability had a SNP-based heritability of 2–5% for height, sitting height, body mass index (BMI) and weight (P ≤\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\le$$\\end{document} 2.4 × 10−3). We also analysed longitudinal trait change and show a loss of both average height and weight beyond about 70 years of age. A variant tracking the Alzheimer’s risk APOE-E4\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${{{{{\\mathcal{E}}}}}}4$$\\end{document} allele (rs429358) was significantly associated with weight loss (β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta$$\\end{document} = −0.047 kg per yr, s.e. 0.007, P = 2.2 × 10−11), and using 2-sample Mendelian Randomisation we detected a relationship consistent with causality between decreased lumbar spine bone mineral density and height loss (bxy = 0.011, s.e. 0.003, P = 3.5 × 10−4). Finally, population-level variance quantitative trait loci (vQTL) were consistent with within-person variability for several traits, indicating an overlap between trait variability assessed at the population or individual level. Our findings help elucidate the genetic influence on trait-change within an individual and highlight disease risks associated with these changes.

Genetic and Environmental Influences on Perceived Stress in South Korean Twins.

Researchers have proposed that culture significantly influences perceived stress (PS). To date, however, twin studies on PS have been conducted mostly in western, individualistic cultures, which demonstrate that PS due to controllable (personal) life events is more heritable than PS due to uncontrollable (network) life events. This study aimed to investigate genetic and environmental influences on PS in South Korean twins. South Korea practices a dominant collectivist culture. In total, 1372 twin individuals (mean age = 22.4 ± 2.5 years) completed an online survey on PS, which consisted of the scales, Friendship, Academic Stress, Future Career, Family Conflicts, and Family Financial Difficulties (FFD). Friendship, Academic Stress, and Future Career can be considered PS due to personal life events, and Family Conflict and FFD, PS due to network life events. The general sex-limitation model-fitting analysis revealed the absence of qualitative or quantitative sex differences in genetic and environmental influences. Specifically, additive genetic influences were predominant for Friendship (63%), Academic Stress (67%), and Future Career (57%) for both sexes, with the remaining variance attributable to nonshared environmental influences. In contrast, shared environmental influences were largest for Family Conflict (47% for both genders) and FFD (64% for males, 63% for females) with no significant genetic effects. Despite known cultural differences in the means and variances of PS, South Korean twins exhibited significant genetic effects in PS due to personal life events and large shared environmental effects in PS due to network life events, which is similar to western samples.

TwinsMX: Exploring the Genetic and Environmental Influences on Health Traits in the Mexican Population.

TwinsMX registry is a national research initiative in Mexico that aims to understand the complex interplay between genetics and environment in shaping physical and mental health traits among the country's population. With a multidisciplinary approach, TwinsMX aims to advance our knowledge of the genetic and environmental mechanisms underlying ethnic variations in complex traits and diseases, including behavioral, psychometric, anthropometric, metabolic, cardiovascular and mental disorders. With information gathered from over 2800 twins, this article updates the prevalence of several complex traits; and describes the advances and novel ideas we have implemented such as magnetic resonance imaging. The future expansion of the TwinsMX registry will enhance our comprehension of the intricate interplay between genetics and environment in shaping health and disease in the Mexican population. Overall, this report describes the progress in the building of a solid database that will allow the study of complex traits in the Mexican population, valuable not only for our consortium, but also for the worldwide scientific community, by providing new insights of understudied genetically admixed populations.

A comprehensive genome-wide cross-trait analysis of sexual factors and uterine leiomyoma.

Age at first sexual intercourse (AFS) and lifetime number of sexual partners (NSP) may influence the pathogenesis of uterine leiomyoma (UL) through their associations with hormonal concentrations and uterine infections. Leveraging summary statistics from large-scale genome-wide association studies conducted in European ancestry for each trait (NAFS = 214,547; NNSP = 370,711; NUL = 302,979), we observed a significant negative genomic correlation for UL with AFS (rg = -0.11, P = 7.83×10-4), but not with NSP (rg = 0.01, P = 0.62). Four specific genomic regions were identified as contributing significant local genetic correlations to AFS and UL, including one genomic region further identified for NSP and UL. Partitioning SNP-heritability with cell-type-specific annotations, a close clustering of UL with both AFS and NSP was identified in immune and blood-related components. Cross-trait meta-analysis revealed 15 loci shared between AFS/NSP and UL, including 7 novel SNPs. Univariable two-sample Mendelian randomization (MR) analysis suggested no evidence for a causal association between genetically predicted AFS/NSP and risk of UL, nor vice versa. Multivariable MR adjusting for age at menarche or/and age at natural menopause revealed a significant causal effect of genetically predicted higher AFS on a lower risk of UL. Such effect attenuated to null when age at first birth was further included. Utilizing participant-level data from the UK Biobank, one-sample MR based on genetic risk scores yielded consistent null findings among both pre-menopausal and post-menopausal females. From a genetic perspective, our study demonstrates an intrinsic link underlying sexual factors (AFS and NSP) and UL, highlighting shared biological mechanisms rather than direct causal effects. Future studies are needed to elucidate the specific mechanisms involved in the shared genetic influences and their potential impact on UL development.

Geometric morphometric evaluation of mandibles of four sheep breeds: Bardoka, İvesi, Polish Mountain sheep and Turcana.

The enduring relationship between humans and domestic sheep has evolved over millennia, showcasing diverse uses such as meat, milk, wool, leather and fur, shaped by geographical, historical, cultural and social factors. The sheep breeds discussed include the Ivesi from Southeastern Anatolia, known for its varied animal products; the resilient Turcana breed of Romania; Kosovo's Bardoka, valued for its triple-purpose characteristics; and Poland's Polish Mountain Sheep, uniquely utilized for milk production in cheese making. Sheep, with their enduring relationship with humans and significant economic importance, have attracted scientific interest in morphometric studies of their mandibles, yielding valuable data applicable across various fields including basic anatomy, veterinary clinical anatomy, zooarchaeology and veterinary forensic medicine. Traditional morphometric studies rely on statistical methods to compare length, depth and angular ratios between anatomical formations, often highlighting differences between specific points but not fully revealing shape variations between distinct groups. Geometric morphometric analysis has emerged as a preferred method in recent years, enabling shape analyses using coordinate data from various imaging techniques, facilitating a comprehensive examination of mandibular morphometrics among sheep breeds across different countries. This study involved four sheep breeds from different countries, namely İvesi from Turkey, Bardoka from Kosovo, Polish Mountain Sheep from Poland and Turcana from Romania, with a total of 70 mandibles sourced from various veterinary faculties. Mandibular photographs were meticulously captured, focusing on the right side of mandible pairs and placing landmarks and semi-landmarks along the entire edge, enabling geometric morphometric analysis using tpsUtil, tpsDig2 and MorphoJ software. The analysis included principal component analysis, canonical variate analysis and discriminant function analysis for pairwise comparisons, facilitating a comprehensive examination of mandibular shape variations among the different sheep breeds. Using geometric morphometric methods, this study analysed mandibles from four distinct sheep breeds sourced from different countries, revealing notable variations in regions such as the ramus mandibula, angulus mandibula and incisive areas, attributed to genetic, geographical and dietary influences, highlighting the importance of continued research to better comprehend these shape differences.

Environmental and genetic influence on the rate and spectrum of spontaneous mutations in Escherichia coli.

Spontaneous mutations are the ultimate source of novel genetic variation on which evolution operates. Although mutation rate is often discussed as a single parameter in evolution, it comprises multiple distinct types of changes at the level of DNA. Moreover, the rates of these distinct changes can be independently influenced by genomic background and environmental conditions. Using fluctuation tests, we characterized the spectrum of spontaneous mutations in Escherichia coli grown in low and high glucose environments. These conditions are known to affect the rate of spontaneous mutation in wild-type MG1655, but not in a ΔluxS deletant strain - a gene with roles in both quorum sensing and the recycling of methylation products used in E. coli's DNA repair process. We find an increase in AT>GC transitions in the low glucose environment, suggesting that processes relating to the production or repair of this mutation could drive the response of overall mutation rate to glucose concentration. Interestingly, this increase in AT>GC transitions is maintained by the glucose non-responsive ΔluxS deletant. Instead, an elevated rate of GC>TA transversions, more common in a high glucose environment, leads to a net non-responsiveness of overall mutation rate for this strain. Our results show how relatively subtle changes, such as the concentration of a carbon substrate or loss of a regulatory gene, can substantially influence the amount and nature of genetic variation available to selection.

Early risk for child externalising symptoms: Examining genetic, prenatal, temperamental and parental influences

AbstractThis study utilised the Early Growth and Development Study (N = 561 adoptive children; 57.2% male, 55.3% White), a study of children adopted at birth, to examine heritable (birth parent psychopathology) and prenatal risk (prenatal maternal distress and smoking during pregnancy), infant negative affectivity, adoptive parent over‐reactivity and warmth as independent predictors of childhood externalising symptoms. The current study evaluated if: (1) infant negative affectivity and over‐reactive parenting are candidate mediators for the effects of heritable and prenatal risk on externalising symptoms and (2) parental warmth weakens the influence of heritable risk, prenatal risk, negative affectivity and over‐reactive parenting on externalising symptoms. There were main effects of heritable risk, infant negative affectivity and over‐reactive parenting on child externalising symptoms. The study found no support for the hypothesised mediation and moderation effects, suggesting that targeting parental over‐reactivity rather than warmth would be more effective in reducing the risk for childhood externalising symptoms.

Genomic Structural Equation Modeling Offers Insight Into Expressive Differences Between Childhood and Late-Diagnosed ADHD

Recent literature on attention-deficit hyperactivity disorder (ADHD) has identified differences in the genetic influence of age at first diagnosis. In particular, genome-wide association studies (GWAS) have found that childhood, persistent, and late-diagnosed categories of ADHD exhibit divergent comorbidity patterns. Based on these findings, we hypothesized that there would be significant differences in genetic risk sharing across childhood and late-diagnosed ADHD with other external traits. The traits selected for analysis included 3 dimensions of risk-taking behavior, Automobile Speeding Propensity, Drinks Per Week, and Number of Sexual Partners, and 4 dimensions of diet-related behavior, Protein Intake, Fat Intake, Carb Intake, and Sugar Intake. Results from Genomic SEM applied to investigate differences in genetic risk sharing with these external traits and the two ADHD subgroups revealed significant differences for number of sexual partners (p = 0.003) and automobile speeding propensity (p = 0.001). Practical implications of these findings are discussed and offer reason to reevaluate the current treatment of ADHD. For the full text, please visit https://scholar.colorado.edu/concern/undergraduate_honors_theses/ng451j94g.

Impact of Haemoglobin and Haematocrit on the Incidence of Thrombosis in the Individuals Exposed to High-Altitude

Impact of Haemoglobin and Haematocrit on the Incidence of Thrombosis in the Individuals Exposed to High-Altitude

Implementation of Educational Values in PPKn Subjects in Primary Schools

This research was conducted with the aim of finding out and analyzing more deeply the implementation of Character Education in Civics Learning in Elementary Schools. As well as reviewing what efforts and to what extent have been made by teachers and elementary schools in Indonesia to implement character education, especially in Civics learning in elementary schools. This research uses the Literature Review method by searching for research results from several journals that are relevant to the problem being studied, such as from the indexers Google Scholar, Sinta, Basicedu, Hafeccs and so on. The results of this research show that a person's character, which forms their personality, is formed through genetic and environmental influences. This character is reflected in daily attitudes and behavior, moral feelings and application in everyday life.

Pancreatic Diseases: Genetics and Modeling Using Human Pluripotent Stem Cells.

Pancreas serves endocrine and exocrine functions in the body; thus, their pathology can cause a broad range of irreparable consequences. Endocrine functions include the production of hormones such as insulin and glucagon, while exocrine functions involve the secretion of digestive enzymes. Disruption of these functions can lead to conditions like diabetes mellitus and exocrine pancreatic insufficiency. Also, the symptoms and causality of pancreatic cancer very greatly depends on their origin: pancreatic ductal adenocarcinoma is one of the most fatal cancer; however, most of tumor derived from endocrine part of pancreas are benign. Pancreatitis, an inflammation of the pancreatic tissues, is caused by excessive alcohol consumption, the bile duct obstruction by gallstones, and the premature activation of digestive enzymes in the pancreas. Hereditary pancreatic diseases, such as maturity-onset diabetes of the young and hereditary pancreatitis, can be a candidate for disease modeling using human pluripotent stem cells (hPSCs), due to their strong genetic influence. hPSC-derived pancreatic differentiation has been established for cell replacement therapy for diabetic patients and is robustly used for disease modeling. The disease modeling platform that allows interactions between immune cells and pancreatic cells is necessary to perform in-depth investigation of disease pathogenesis.

CCT6A regulates cervical cancer cell glycolysis and proliferation under hypoxic conditions via the TCAB1/TERT.

Cervical cancer is one of the most common female malignancies worldwide, a hypoxic microenvironment usually causes enhanced viability and glycolytic capacity of cervical cancer cells. The aim of this study was to investigate the association between chaperonin containing t-complex polypeptide 1 subunit 6A (CCT6A) and cell proliferation as well as hypoxic glycolysis. Bioinformatics analysis was conducted to explore the association between cervical cancer and its partner protein under hypoxic conditions, namely CCT6A. Subsequently, the expression of CCT6A was silenced, and the effects of CCT6A silencing on cervical cancer cell proliferation, cell cycle, glycolysis-related proteins, and telomerase activity were examined. Bioinformatics analysis was performed to investigate the expression of CCT6A in cervical cancer under hypoxic conditions. The expression of CCT6A was silenced in cervical cancer cells, Hela and Siha, to study its effects on cell proliferation and hypoxic glycolysis. The localization of telomerase activity-related proteins, TCAB1 and TERT, was detected using immunofluorescence, and their interaction was assessed using immunoprecipitation. A cellular hypoxia model was established, and the products of the glycolysis reaction were detected. A nude mouse tumor model was constructed, and the changes in glycolysis-related proteins in tumor tissues were examined using western blot, while Ki67 expression in tumor tissues was evaluated by immunohistochemistry. Telomerase activity was found to be enhanced in CCT6A-silenced cervical cancer cells, along with an increase in telomerase cajal body protein 1 (TCAB1) and telomerase reverse tranase (TERT) protein binding associated with telomerase activity. Additionally, the proportion of cells in the Gap 2/mitosis (G2/M) stage and the 5-ethynyl-2'-deoxyuridine (EdU) positivity rate were decreased in CCT6A-silenced cells, indicating a reduction in cell proliferation. The expression of cell cycle-related proteins, including Cyclin E, CCNA2 and cyclin-dependent kinase 2 (CDK2), was suppressed. Furthermore, under a hypoxic environment, silencing CCT6A led to a significant reduction in cell viability and downregulation of glycolysis-related proteins, such as lactate dehydrogenase A (LDHA) and hexokinase 2 (HK2). Mechanistically, silencing CCT6A may reduce telomerase activity by inhibiting the TCAB1/TERT interaction. Additionally, TERT was found to activate the promoter region of the HK2 gene, and inhibition of TERT activity reduced the transcriptional level of HK2. The study primarily explored the involvement of CCT6A in cervical cancer, yet it did not account for the myriad of other elements potentially influencing cell proliferation and glycolysis. It's essential to recognize that cervical cancer's etiology is multifaceted, shaped by an array of genetic variations, environmental influences, and protein interactions. Silencing CCT6A could effectively attenuate the upregulation of cell proliferation and glycolytic function mediated by TCAB1/TERT in cervical cancer cells.

Principal component analysis of phenotypic and breeding value data for semen traits in Egyptian buffalo bulls

Buffalo bull semen traits are economically important traits that influence farm fertility and profitability. Genetic improvement of semen characteristics is an important detail of the genetic improvement. This study was conducted to assess the relationship between the breeding values as well as the phenotypic values for semen traits (VOL, MM, LS, AS and CONC) of the Egyptian buffalo bulls. A total of 7761 normal semen ejaculates were collected and characterized at ILMTC laboratory from 26 bulls from 2009 to 2019. For VOL, MM, LS, AS, and CONC, the actual means were 3.89 mL, 62.37%, 60.64%, 3.94%, and 0.67 × 109 sperm/mL, respectively. The prediction of breeding values for semen traits was estimated using a Bayesian procedure. The estimated standardized EBVs and phenotypic values were used in the principal component analysis (PCA). Of five PCs, one PC (PC1) had > 1 eigenvalues that was responsible for 87.19% of the total variation of SEBV, and two PCs had > 1 eigenvalues that were responsible for 59.61% and 21.35% of the total variation of the phenotypic values. Together, PC1 and PC2 accounted for 97.97% of the total variance of SEBV and 80.96% of the total variance of phenotypic values. A graphs of the first two components showed the traits separated into two different directions by group. This indicates each group was under similar genetic influence. Therefore, selection can be done separately for each group without influencing the other. Principal component analysis reduced variables to describe the key information in buffalo semen data.

The association of the killer cell immunoglobulin-like receptor (KIR) genotype distribution and HLA-C ligands in colorectal cancer in the eastern region of Saudi Arabia

Colorectal cancer (CRC) is the most common cause of cancer-related mortality globally. It ranks as the most common cancer among men and the third most prevalent among women in Saudi Arabia, especially in the eastern region. The immune system's response to cancer is significantly influenced by natural killer cells through their killer-cell immunoglobulin-like receptors (KIRs) interaction with human leukocyte antigen (HLA) molecules. Our research aimed to target a homogeneous ethnic group in the eastern region of Saudi Arabia, analyzing the distribution of 16 KIR genes and HLA-C1/C2 allotypes in 50 CRC patients and 63 healthy controls using the sequence-specific PCR amplification method. Findings revealed significantly lower frequencies of the 2DL2 and 3DL1 genes in CRC patients compared to controls (OR = 2.21; P = 0.04) and (OR = 7.46; P = 0.00009), respectively. Additionally, a higher prevalence of HLA-C2 was noted in CRC patients (84 %) versus controls (66.7 %) (OR = 2.26; P = 0.04). Conversely, the HLA-C1C2 combination showed a protective effect against CRC (OR = 0.38; P = 0.04). Our combinatorial analysis further identified specific gene combinations correlating with CRC risk or protection. Notably, the absence of KIR2DL2 combined with the presence of KIR2DS2 emerged as a significant risk factor, while various combinations involving KIR2DL2 and/or KIR2DS1 with HLA-C ligands were associated with either increased susceptibility or protection. The study underscores the protective role of KIR2DL2 against CRC in Saudi Arabia's eastern region and suggests that the absence of KIR2DL2, especially when KIR2DS2 is present, might increase CRC risk. This research contributes to understanding genetic influences on CRC susceptibility, emphasizing the potential of KIR and HLA interactions as biomarkers for CRC risk assessment.

Gonadal sex and chromosome complement influence the gut microbiome in a mouse model of allergic airway inflammation.

Evidence abounds that gut microbiome components are associated with sex disparities in the immune system. However, it remains unclear whether the observed sex disparity in asthma incidence is associated with sex-dependent differences in immune-modulating gut microbiota, and/or its influence on allergic airway inflammatory processes. Using a mouse model of house dust mite (HDM)-induced allergic inflammation and the four core genotypes (FCG) model, we have previously reported sex differences in lung inflammatory phenotypes. Here, we investigated associations of gut microbiomes to these phenotypes by challenging FCG mice (XXM, XXF, XYM, XYF, n=7/group) withHDM (25 μg) or PBS intranasally for 5 weeks and collecting fecal samples. We extracted fecal DNA and analyzed the 16S microbiome via Targeted Metagenomic Sequencing. We compared alpha and beta diversity across genotypes and assessed the Firmicutes/Bacteroidetes ratio (F/B). When comparing baseline and after exposure for the FCG, we found that the gut F/B was only increased in the XXM genotype. We also found that alpha diversity was significantly increased in all FCG mice upon HDM challenge, with the highest increase in the XXF, and the lowest in the XXM genotypes. Similarly, beta diversity of the microbial community was also affected by challenge in a gonad- and chromosome-dependent manner. In summary, our results indicated that HDM treatment, gonads, and sex chromosomes significantly influence the gut microbial community composition. We concluded that allergic lung inflammation may be affected by the gut microbiome in a sex-dependent manner involving both hormonal and genetic influences.

Asthma Pathogenesis: Phenotypes, Therapies and Gaps. Summary of the Aspen Lung Conference 2023.

Although substantial progress has been made in our understanding of asthma pathogenesis and phenotypes over the 60-year history of Aspen Lung Conferences on asthma, many ongoing challenges exist in our understanding of the clinical and molecular heterogeneity of the disease and an individual patient's response to therapy. This report summarizes the proceedings of the 2023 Aspen Lung Conference, which was organized to review the clinical and molecular heterogeneity of asthma and to better understand the impact of genetic, environmental, cellular, and molecular influences on disease susceptibility, heterogeneity, and severity. The goals of the conference were to review new information about asthma phenotypes, cellular processes, and cellular signatures underlying disease heterogeneity and treatment response. The report concludes with ongoing gaps in our understanding of asthma pathobiology and provides some recommendations for future research to better understand the clinical and basic mechanisms underlying disease heterogeneity in asthma and to advance the development of new treatments for this growing public health problem.

Age and sex differences in the genetic architecture of measures of subjective health: Relationships with physical health, depressive symptoms, and episodic memory.

Subjective health (SH) is not just an indicator of physical health, but also reflects active cognitive processing of information about one's own health and has been associated with emotional health measures, such as neuroticism and depression. Behavior genetic approaches investigate the genetic architecture of SH, i.e., genetic and environmental influences on individual differences in SH and associations with potential components such as physical, cognitive, and emotional health. Previous twin analyses have been limited by sex, sample size, age range, and focus on single covariates. The current analysis used data from 24,173 adults ranging in age from 40-90 years from the international Interplay of Genes and Environment Across Multiple Studies (IGEMS) consortium to investigate the genetic architecture of three measures of SH: self-rated health, health compared to others, and impact of health on activities. Independent pathways model of SH included physical health, depressive symptoms, and episodic memory, with age, sex, and country included as covariates. Most or all of the genetic variance for SH measures was shared with physical health, depressive symptoms, and episodic memory. Genetic architecture of SH differed across measures, age groups (40-65, 66-90), and sexes. Age comparisons indicated stronger correlations with all 3 covariates in older adults, often resulting from greater shared genetic variance. The predictive value of SH has been amply demonstrated. The higher genetic contributions to associations between SH and its components in older adults support the increasing conceptualization with age of SH as an intuitive summation of one's vital reserve.

Familial genetic and environmental transmission of depression: A multi-informant twin family study.

The phenomenon of familial clustering in depression is well established, yet the mechanisms by which depression is transmitted within families remain poorly understood. In the current study, we investigate the familial genetic and environmental transmission of depression by incorporating data from both adolescent twins and their parents. A total of 987 twin families were recruited from the Beijing Twin Study. Depression assessments were conducted for both adolescents and their parents. Twins' depression was assessed through reports from both the twins themselves and their parents, while parental depression was assessed by parental self-report. We employed a nuclear twin family model to examine genetic and environmental influences on adolescent depression. Our results, based on both self- and parent-report, demonstrate significant additive and dominant genetic influences on depression. We also found mild yet significant sibling environmental influences, while familial environmental influences were absent. Notably, parent-reported depression showed higher heritability but lower unique environmental influences compared with self-reported depression. These results highlight the important role of genetic transmission and sibling environmental transmission in explaining depression. Our study delineates the underlying mechanism of familial transmission in depression and can inform early treatments to halt transmission during adolescence.

Genetics in the diagnosis and treatment of cardiovascular diseases

Cardiovascular diseases (CVDs) remain one of the leading causes of morbidity and mortality worldwide, with genetics being a major risk factor. Genetic cardiovascular disease can occur either because of single variant (Mendelian) or polygenic influences and has been linked to inherited cardiovascular conditions (ICC) such as arrhythmias, cardiomyopathies, dyslipidemias, and aortopathies which are significant factors leading to sudden cardiac death in young adults. Timely screening, diagnosis, and management of ICC can not only provide life-saving treatment to a patient, but also identify at-risk family members. The field of pharmacogenomics (PGx) helped to understand the variable action of medications such as clopidogrel, aspirin, warfarin, and statin according to genotype. Newer technologies such as multi-omics can combine data from multiple sources such as genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiome. These advancements can contribute to the development of polygenic prediction scores and precision medicine tailored to individual genotypes. Substantial strides have been made in genetic-based therapeutics, gene editing technologies, and drug delivery systems, which have significantly expanded treatment options for patients with acquired or inherited CVDs. Although variable, the country- and society-specific guidelines on genetic testing for ICC and PGx and treatment are being continuously updated to keep up with ongoing research in the field. Along with appropriate knowledge, other factors including cost and availability of genetic testing play a vital role in the usage by both physicians and patients. With the advent of newer genetic testing for CVDs, a key factor is the availability of genetic counselors (GCs) who are specifically trained in cardiovascular genomics. The current review provides a concise summary of the major influences of genetics in the diagnosis and treatment of CVDs.

Impact of LDLR polymorphisms on lipid levels and atorvastatin’s efficacy in a northern Chinese adult Han cohort with dyslipidemia

BackgroundDyslipidemia, a significant risk factor for atherosclerotic cardiovascular disease (ASCVD), is influenced by genetic variations, particularly those in the low-density lipoprotein receptor (LDLR) gene. This study aimed to elucidate the effects of LDLR polymorphisms on baseline serum lipid levels and the therapeutic efficacy of atorvastatin in an adult Han population in northern China with dyslipidemia.MethodsIn this study, 255 Han Chinese adults receiving atorvastatin therapy were examined and followed up. The 3’ untranslated region (UTR) of the LDLR gene was sequenced to identify polymorphisms. The associations between gene polymorphisms and serum lipid levels, as well as changes in lipid levels after intervention, were evaluated using the Wilcoxon rank sum test, with a P < 0.05 indicating statistical significance. Assessment of linkage disequilibrium patterns and haplotype structures was conducted utilizing Haploview.ResultsEleven distinct polymorphisms at LDLR 3’ UTR were identified. Seven polymorphisms (rs1433099, rs14158, rs2738466, rs5742911, rs17249057, rs55971831, and rs568219285) were correlated with the baseline serum lipid levels (P < 0.05). In particular, four polymorphisms (rs14158, rs2738466, rs5742911, and rs17249057) were in strong linkage disequilibrium (r2 = 1), and patients with the AGGC haplotype had higher TC and LDL-C levels at baseline. Three polymorphisms (rs1433099, rs2738467, and rs7254521) were correlated with the therapeutic efficacy of atorvastatin (P < 0.05). Furthermore, carriers of the rs2738467 T allele demonstrated a significantly greater reduction in low-density lipoprotein cholesterol (LDL-C) levels post-atorvastatin treatment (P = 0.03), indicating a potentially crucial genetic influence on therapeutic outcomes. Two polymorphisms (rs751672818 and rs566918949) were neither correlated with the baseline serum lipid levels nor atorvastatin’s efficacy.ConclusionsThis research outlined the complex genetic architecture surrounding LDLR 3’ UTR polymorphisms and their role in lipid metabolism and the response to atorvastatin treatment in adult Han Chinese patients with dyslipidemia, highlighting the importance of genetic profiling in enhancing tailored therapeutic strategies. Furthermore, this investigation advocates for the integration of genetic testing into the management of dyslipidemia, paving the way for customized therapeutic approaches that could significantly improve patient care.Trial registrationThis multicenter study was approved by the Ethics Committee of Xiangya Hospital Central South University (ethics number K22144). It was a general ethic. In addition, this study was approved by The First Hospital of Hebei Medical University (ethics number 20220418).