Reduced Glutathione
Reduced glutathione (GSH) is a crucial tripeptide molecule found in nearly all cells, serving as the body’s primary endogenous antioxidant. It plays a fundamental role in protecting cells from damage caused by reactive oxygen species and oxidative stress, a process linked to various chronic diseases and the aging process.
Biologically, reduced glutathione is synthesized from three amino acids—glutamate, cysteine, and glycine—and is vital for maintaining the cellular redox balance. It directly neutralizes free radicals, participates in detoxification pathways by conjugating with toxins and xenobiotics, and helps regenerate other antioxidants, such as vitamins C and E. The ratio of reduced glutathione (GSH) to its oxidized form (GSSG) is a key indicator of cellular health and function, influencing immune responses, gene expression, and cell signaling pathways.
Clinically, altered levels of reduced glutathione are associated with a wide range of health conditions. A decrease in GSH levels often indicates increased oxidative stress, which can contribute to the development and progression of neurodegenerative diseases, cardiovascular disorders, metabolic diseases, liver dysfunction, and certain types of cancer. Measuring reduced glutathione can serve as an important intermediate phenotype, offering detailed insights into potentially affected biochemical pathways[1]. This makes it a valuable biomarker for assessing disease risk, monitoring disease progression, and evaluating the effectiveness of therapeutic interventions.
From a broader societal perspective, understanding individual variations in reduced glutathione levels, especially those influenced by genetic factors, is becoming increasingly important for public health. The field of metabolomics, which involves the comprehensive analysis of metabolites like glutathione, provides a functional snapshot of an individual’s physiological state. Insights gained from studying genetic variants associated with metabolite profiles can pave the way for personalized health care and nutrition strategies, combining an individual’s genetic makeup with their unique metabolic characteristics[1]. This approach holds promise for identifying individuals at higher risk for certain conditions and developing targeted preventive or treatment plans.
Limitations
Section titled “Limitations”Understanding the genetic underpinnings of reduced glutathione is an evolving field, and current research, while valuable, operates within several limitations that warrant careful consideration. These limitations pertain to the methodological design of genetic studies, the generalizability of findings across diverse populations, and the inherent complexity of biological systems.
Methodological and Statistical Considerations
Section titled “Methodological and Statistical Considerations”Initial genome-wide association studies (GWAS) often face challenges in precisely quantifying the effect sizes of genetic variants, with early findings sometimes overestimating the impact of specific loci. While meta-analyses are frequently employed to pool data from multiple studies, thereby enhancing statistical power and refining effect estimates, the potential for heterogeneity among studies remains [2]. Such heterogeneity can arise from variations in genotyping quality control procedures or differing analytical approaches across cohorts, which may introduce variability in combined estimates and hinder the accurate identification of genetic signals.
Furthermore, the consistency and reproducibility of genetic associations are paramount for establishing robust findings, yet replication across independent cohorts is not always straightforward. Studies may report associations with different single nucleotide polymorphisms (SNPs) within the same gene, or fail to replicate previously identified associations entirely [3]. This lack of consistent replication can be attributed to differences in statistical power, unique study designs, or population-specific linkage disequilibrium patterns, leading to a fragmented understanding of the genetic architecture influencing reduced glutathione levels.
Population Specificity and Phenotypic Characterization
Section titled “Population Specificity and Phenotypic Characterization”A significant limitation in many large-scale genetic investigations, including those focused on metabolite profiles, is the predominant reliance on cohorts of European ancestry [4]. This demographic skew restricts the direct applicability and generalizability of genetic findings to populations with different ancestral backgrounds. As genetic architectures, allele frequencies, and environmental exposures vary considerably across global populations, variants associated with reduced glutathione in one group may not exhibit the same effect or even be present in others, potentially exacerbating health disparities if not addressed.
The accurate and consistent characterization of reduced glutathione as a phenotype also presents challenges. As an intermediate biological marker, its levels can fluctuate due to numerous internal and external factors. Discrepancies in biological sample collection protocols, processing techniques, storage conditions, and analytical methodologies across different research laboratories can introduce significant measurement error or bias[1]. Such variability can obscure genuine genetic associations and make it difficult to compare or integrate findings from various studies, thus impeding a comprehensive understanding of reduced glutathione biology.
Incomplete Understanding of Biological Complexity
Section titled “Incomplete Understanding of Biological Complexity”Reduced glutathione levels are not solely dictated by an individual’s genetic makeup; they are profoundly influenced by a complex interplay of environmental and lifestyle factors, including dietary intake, smoking habits, body-mass index, and various medications[5]. Although researchers typically adjust for known confounders, fully accounting for the intricate gene-environment interactions remains a substantial challenge. The inability to comprehensively model these multifactorial influences can mask the true genetic contributions to reduced glutathione variation and prevent a holistic understanding of its regulatory pathways.
Moreover, even with the discovery of numerous genetic loci, the identified variants often explain only a fraction of the total heritable variation in complex traits, a phenomenon commonly termed “missing heritability” [6]. This suggests that a substantial portion of the genetic influence on reduced glutathione levels may stem from undiscovered factors, such as rare genetic variants, structural genomic variations, complex epistatic interactions, or epigenetic modifications. A complete elucidation of the intricate biological network governing reduced glutathione synthesis, degradation, and function, including upstream and downstream metabolic pathways, necessitates continued and more sophisticated research beyond the current scope of many genetic studies.
Variants
Section titled “Variants”Genetic variations play a crucial role in influencing an individual’s physiological processes and susceptibility to various health traits, including those related to cellular defense and metabolism. Among these, single nucleotide polymorphisms (SNPs) in genes like the pseudogenes ANKRD49P3, RNA5SP193, PPIAP76, and TUBAP10, as well as functional genes such as CADM1 and ADARB2, can have diverse effects on cellular function, impacting key pathways like the maintenance of reduced glutathione. Reduced glutathione is a vital antioxidant that protects cells from oxidative damage and is essential for detoxification processes, with its levels often reflecting overall cellular health and stress response.
Pseudogenes, such as ANKRD49P3, RNA5SP193, PPIAP76, and TUBAP10, along with their associated variants like rs4490575 and rs113014964 , are typically non-coding DNA sequences that resemble functional genes but have lost their protein-coding ability. Despite their non-coding nature, these pseudogenes can exert regulatory influence over gene expression by mechanisms such as acting as microRNA sponges, affecting chromatin structure, or producing small non-coding RNAs. For instance, ANKRD49P3 is related to ankyrin repeat domain proteins involved in protein-protein interactions, RNA5SP193 to ribosomal RNA, PPIAP76 to protein folding enzymes, and TUBAP10 to tubulin, a structural component of the cytoskeleton. Variations in these pseudogenes can indirectly impact the expression or stability of their functional counterparts or other genes, thereby influencing cellular stress responses, protein homeostasis, and the overall capacity for detoxification, all of which rely on adequate glutathione levels [7]. The activity of enzymes like gamma-glutamyl transferase (GGT), which is involved in glutathione metabolism, can be influenced by various genetic loci, suggesting a broad genetic basis for such metabolic pathways.
Another important gene, CADM1 (Cell Adhesion Molecule 1), is involved in critical cellular processes including cell-cell recognition, signal transduction, and immune responses. The variant rs57734211 in CADM1 could potentially alter its function, affecting how cells interact and communicate, or influencing the regulation of immune responses. Dysregulated cell adhesion and signaling can contribute to tissue damage and chronic inflammation, which in turn generate oxidative stress. This increased oxidative burden can deplete reduced glutathione, as it is heavily utilized in neutralizing reactive oxygen species and detoxifying harmful compounds. Therefore, maintaining proper cell adhesion and immune regulation, potentially influenced by CADM1 variants, is crucial for preserving the cellular antioxidant capacity[8]. Studies have identified genetic associations with inflammatory markers such as C-reactive protein and interleukin-6, highlighting the genetic underpinnings of inflammatory processes that impact cellular redox balance.
The ADARB2 gene (Adenosine Deaminase RNA Specific B2), with a variant such as rs904963 , plays a fundamental role in gene regulation by encoding an enzyme that performs A-to-I RNA editing. This process modifies adenosine to inosine in double-stranded RNA, altering mRNA sequences and influencing protein function, mRNA stability, and splicing. A variant in ADARB2 could potentially affect the efficiency or specificity of this RNA editing, leading to widespread changes in the cellular transcriptome and proteome. Such broad regulatory impacts can influence numerous cellular pathways, including those involved in antioxidant defense and metabolism. Changes in the production or activity of enzymes involved in glutathione synthesis, recycling, or utilization could directly impact the cellular pool of reduced glutathione, which is vital for protecting against oxidative stress and maintaining overall cellular health[1]. Genome-wide association studies have shown that genetic variations can influence a wide array of metabolic and physiological biomarkers, underscoring the potential for ADARB2 variants to broadly affect cellular homeostasis and, consequently, glutathione status.
Key Variants
Section titled “Key Variants”Definition and Measurement Approaches for Related Metabolites
Section titled “Definition and Measurement Approaches for Related Metabolites”While the direct measurement of reduced glutathione is a key analytical target in metabolomics, research often employs related metabolic markers and broad profiling techniques. Gamma-glutamyl aminotransferase (GGT), an enzyme involved in glutathione metabolism, is a well-defined biomarker whose operational definition involves spectrophotometric quantification in serum samples[9]. Beyond specific enzyme activities, comprehensive metabolite profiling, which encompasses a wide array of intermediate phenotypes, is performed using advanced techniques such as electrospray ionization tandem mass spectrometry (ESI-MS/MS) on quantitative metabolomics platforms [1]. These methods aim to characterize metabolic states by identifying and quantifying numerous compounds within biological samples like human serum, offering a broad view of metabolic pathways.
Clinical and Research Significance of Metabolic Biomarkers
Section titled “Clinical and Research Significance of Metabolic Biomarkers”The measurement of metabolic biomarkers, including enzymes like GGT, holds significant clinical and scientific importance. GGT levels have been identified as a biomarker associated with various health outcomes, including metabolic syndrome, cardiovascular disease, and overall mortality risk[9]. In research settings, particularly within genome-wide association studies, the analysis of such intermediate phenotypes on a continuous scale provides crucial details on potentially affected biological pathways [1]. This approach to metabolic characterization, when integrated with genotyping data, is conceptualized as a vital step towards developing personalized health care and nutrition strategies [1]. The insights gained from these measurements contribute to understanding disease mechanisms and identifying individuals at risk.
Classification Systems and Terminology
Section titled “Classification Systems and Terminology”Metabolites and related enzyme activities are often classified as intermediate phenotypes, which are quantitative traits measured on a continuous scale [1]. This dimensional approach, contrasting with purely categorical disease classifications, allows for a more nuanced understanding of biological processes and disease susceptibility[1]. Key terminology in this field includes ‘metabolite profiles,’ referring to the comprehensive collection of small molecules within a biological sample, and ‘biomarkers,’ which are measurable indicators of a biological state or condition [9]. The use of standardized vocabularies and consistent nomenclature for these traits is essential for comparability across diverse research studies, enabling the integration of findings from large-scale initiatives like the Framingham Heart Study [10].
Causes
Section titled “Causes”Genetic Predisposition to Altered Glutathione Levels
Section titled “Genetic Predisposition to Altered Glutathione Levels”Inherited genetic variants play a significant role in determining an individual’s baseline glutathione levels. Genome-wide association studies (GWAS) have identified numerous loci influencing various metabolite profiles in human serum, demonstrating the polygenic nature of these complex traits [1]. For instance, while specific Mendelian forms of glutathione deficiency are rare, common single nucleotide polymorphisms (SNPs) can collectively contribute to an individual’s risk for reduced levels, acting through genes involved in glutathione synthesis, recycling, or transport. These genetic influences can also manifest through gene-gene interactions, where the combined effect of multiple variants from different pathways dictates the overall metabolic capacity related to glutathione homeostasis.
The intricate interplay of genetic factors extends to how variants can affect the expression or function of enzymes critical for glutathione metabolism, such as glutathione synthetase or glutathione reductase. Studies on other metabolic traits, like lipid levels and uric acid, have revealed that common variants at multiple loci contribute to their variation, suggesting a similar polygenic architecture for glutathione [11]. Such genetic predispositions can lead to reduced capacity to produce or regenerate glutathione, making individuals more susceptible to its depletion under stress.
Environmental and Lifestyle Influences
Section titled “Environmental and Lifestyle Influences”Beyond genetics, a diverse array of environmental and lifestyle factors significantly impacts glutathione levels. Dietary intake, for instance, is crucial as it provides precursors for glutathione synthesis, such as cysteine, glutamate, and glycine, and cofactors like selenium and riboflavin [1]. Insufficient intake of these essential nutrients can impair the body’s ability to maintain adequate glutathione stores. Exposure to environmental toxins, pollutants, and certain chemicals can also deplete glutathione by increasing oxidative stress and requiring more glutathione for detoxification processes.
Lifestyle choices, including alcohol consumption, smoking, and physical activity levels, further modulate glutathione status. Chronic exposure to stressors, poor sleep quality, and a sedentary lifestyle can elevate oxidative burden, thus increasing the demand for glutathione and potentially leading to its reduction if synthesis cannot keep pace. Socioeconomic factors and geographic influences, which often dictate dietary access, exposure to pollutants, and healthcare resources, can indirectly contribute to variations in glutathione levels across populations.
Gene-Environment Interactions and Epigenetic Regulation
Section titled “Gene-Environment Interactions and Epigenetic Regulation”The relationship between genetic predisposition and environmental factors is not merely additive; they interact in complex ways to influence glutathione levels. Individuals with genetic variants that impair glutathione synthesis or antioxidant defense mechanisms may be particularly vulnerable to environmental stressors like poor diet or toxin exposure, leading to a more pronounced reduction in glutathione than either factor alone [1]. This gene-environment interaction highlights why some individuals are more susceptible to glutathione depletion in similar environmental conditions.
Furthermore, developmental and epigenetic factors, such as DNA methylation and histone modifications, play a critical role in regulating gene expression related to glutathione metabolism. Early life influences, including maternal nutrition and exposure to environmental factors during gestation and infancy, can induce epigenetic changes that program an individual’s capacity for glutathione synthesis and antioxidant defense throughout life. These epigenetic modifications can alter the activity of genes involved in glutathione pathways, offering a dynamic layer of regulation that can contribute to reduced levels independently or in concert with inherited genetic variants.
Comorbidities, Medications, and Age-Related Changes
Section titled “Comorbidities, Medications, and Age-Related Changes”Reduced glutathione levels can also be a consequence or contributing factor in various physiological states, including comorbidities and the effects of certain medications. Numerous chronic diseases, such as diabetes, cardiovascular disease, and neurodegenerative disorders, are associated with increased oxidative stress, which can exhaust glutathione reserves[12]. In these conditions, the ongoing demand for glutathione to neutralize reactive oxygen species may outstrip the body’s capacity for synthesis, leading to persistent reductions.
Additionally, a range of pharmacological agents can interfere with glutathione metabolism. Some medications directly inhibit enzymes involved in glutathione synthesis, while others increase oxidative stress as a side effect, thereby consuming glutathione at an accelerated rate. For example, certain drugs are known to deplete glutathione as part of their metabolic breakdown or detoxification. Finally, age-related changes intrinsically contribute to reduced glutathione levels, as the efficiency of antioxidant defense systems naturally declines with aging, making older individuals more prone to its depletion.
Biological Background
Section titled “Biological Background”Metabolomics: A Functional Readout of Physiological State
Section titled “Metabolomics: A Functional Readout of Physiological State”The rapidly evolving field of metabolomics aims to comprehensively measure all endogenous metabolites present within a cell or body fluid, such as human serum [1]. This approach provides a functional readout that reflects the current physiological state of the human body, offering insights into the intricate metabolic processes and cellular functions occurring at a given time [1]. Measuring specific intermediate phenotypes, like individual metabolite concentrations, can provide detailed information about potentially affected biological pathways [1].
The dynamic nature of these key biomolecules, including various lipids, carbohydrates, and amino acids, is central to maintaining cellular homeostasis [1]. Fluctuations in these metabolite profiles can indicate shifts in regulatory networks or disruptions in normal cellular functions, providing critical information about the body’s internal environment. The analysis of these profiles, often conducted using sophisticated techniques like electrospray ionization tandem mass spectrometry (ESI-MS/MS), allows for a quantitative assessment of these vital components [1].
Genetic Architecture of Metabolite Homeostasis
Section titled “Genetic Architecture of Metabolite Homeostasis”An individual’s genetic makeup significantly influences the homeostasis and steady-state levels of various metabolites [1]. Genome-wide association studies (GWAS) are instrumental in identifying specific genetic variants, such as single nucleotide polymorphisms (SNPs), that are associated with variations in metabolite profiles [1]. These genetic insights help to unravel the complex regulatory networks and gene functions that underpin metabolic processes, providing a deeper understanding of how genetic information translates into observable metabolic traits.
Identifying these genetic associations is crucial for detailing potentially affected metabolic pathways and understanding the genetic basis of individual metabolic differences [1]. Such discoveries can contribute to a more personalized approach to health care and nutrition, where an individual’s genetic profile is considered alongside their metabolic characteristics to guide interventions [1]. The interplay between genes and metabolite levels offers a powerful tool for exploring the molecular and cellular pathways that define human physiology.
Metabolite Biomarkers in Pathophysiological Processes
Section titled “Metabolite Biomarkers in Pathophysiological Processes”Changes in metabolite levels can serve as critical biomarkers for various pathophysiological processes, signaling disruptions in normal homeostatic balance and contributing to the understanding of disease mechanisms[1]. For example, gamma-glutamyl aminotransferase (GGT), an enzyme measured in serum via spectrophotometry, is an established biomarker [10]. Elevated serum GGT levels have been observed to predict non-fatal myocardial infarction and fatal coronary heart disease in studies involving large populations[2].
The study of metabolite profiles allows for the identification of intermediate phenotypes that are closely linked to complex diseases. Research has identified genetic loci associated with lipid concentrations and the risk of coronary artery disease[13], [11], as well as with diabetes-related traits [12]. These findings underscore the relevance of metabolite measurements in understanding the developmental processes of diseases and the body’s compensatory responses to metabolic stressors.
Systemic and Organ-Level Implications of Metabolic Dysregulation
Section titled “Systemic and Organ-Level Implications of Metabolic Dysregulation”Metabolic dysregulation, as reflected by altered metabolite profiles, can have widespread systemic consequences affecting multiple tissues and organs [1]. The analysis of metabolites in body fluids like serum provides a window into these systemic effects, revealing how metabolic imbalances in one area can influence overall physiological health [1]. For instance, associations have been found between genetic variants and subclinical atherosclerosis in major arterial territories[14], and with echocardiographic dimensions and endothelial function [15], highlighting the impact of metabolism on cardiovascular health.
The liver, a central metabolic organ, plays a critical role in maintaining systemic metabolite homeostasis, and enzymes like GGT are indicators of its function [10], [2]. Disruptions in lipid metabolism, for example, which are influenced by multiple genetic loci, contribute to conditions like dyslipidemia and increase the risk of coronary artery disease[11], [13]. Understanding these tissue interactions and organ-specific effects through metabolite measurements is essential for elucidating the complex interplay that governs systemic health and disease.
Frequently Asked Questions About Reduced Glutathione Measurement
Section titled “Frequently Asked Questions About Reduced Glutathione Measurement”These questions address the most important and specific aspects of reduced glutathione measurement based on current genetic research.
1. Why do some people seem healthier than me, even with similar habits?
Section titled “1. Why do some people seem healthier than me, even with similar habits?”Your reduced glutathione levels, a key antioxidant, are influenced by both your lifestyle and your unique genetic makeup. Even with similar habits, genetic variations can mean some people naturally have more efficient glutathione synthesis or better protection against oxidative stress, contributing to differences in overall health and resilience.
2. I try to eat well, but does my diet really affect my glutathione levels?
Section titled “2. I try to eat well, but does my diet really affect my glutathione levels?”Yes, your diet significantly impacts your reduced glutathione levels. Glutathione is synthesized from specific amino acids like glutamate, cysteine, and glycine, which come from your food. A healthy diet provides the necessary building blocks and supports the complex metabolic pathways involved in maintaining your cellular antioxidant defense.
3. Does my glutathione naturally decrease as I get older?
Section titled “3. Does my glutathione naturally decrease as I get older?”Yes, it’s common for reduced glutathione levels to decrease with age. This natural decline can contribute to increased oxidative stress and is linked to the aging process itself, as well as a higher risk for age-related health conditions. Maintaining healthy levels through lifestyle can become even more crucial as you get older.
4. Can a lot of daily stress actually lower my body’s glutathione?
Section titled “4. Can a lot of daily stress actually lower my body’s glutathione?”Absolutely, chronic stress can indeed deplete your body’s reduced glutathione. Stress often leads to increased production of reactive oxygen species, which glutathione works to neutralize. This constant demand can overwhelm your body’s capacity to synthesize enough glutathione, leading to lower levels and increased oxidative stress.
5. My family has health issues; am I predisposed to low glutathione?
Section titled “5. My family has health issues; am I predisposed to low glutathione?”You might be. Genetic factors play a role in determining your baseline reduced glutathione levels. If your family has a history of conditions linked to oxidative stress, there could be shared genetic predispositions that influence your glutathione metabolism, making you more susceptible to similar issues.
6. What would a glutathione test tell me about my future health?
Section titled “6. What would a glutathione test tell me about my future health?”Measuring your reduced glutathione levels can offer valuable insights into your cellular health and oxidative stress. It can serve as an important indicator for assessing your risk for various conditions like neurodegenerative diseases, cardiovascular disorders, and metabolic diseases, and help monitor your overall physiological state.
7. Does my regular exercise routine really help my glutathione?
Section titled “7. Does my regular exercise routine really help my glutathione?”Yes, regular exercise is generally beneficial. While intense, acute exercise can temporarily increase oxidative stress, consistent moderate exercise helps your body adapt, enhancing its antioxidant defenses and improving the efficiency of your glutathione system. This contributes to better cellular health and redox balance.
8. I’m not European; does my ancestry change my glutathione risks?
Section titled “8. I’m not European; does my ancestry change my glutathione risks?”Yes, your ancestry can influence your genetic risk factors for glutathione levels. Much of the current genetic research has focused on people of European descent. Genetic architectures, allele frequencies, and environmental exposures vary significantly across global populations, meaning variants affecting glutathione in one group might differ in others, impacting your unique risk profile.
9. Can common medicines or supplements affect my glutathione levels?
Section titled “9. Can common medicines or supplements affect my glutathione levels?”Yes, various medications and even some supplements can influence your reduced glutathione levels. Glutathione is crucial for detoxification, so substances that your body processes can impact its demand or production. It’s an important consideration as part of the complex interplay of factors affecting your metabolic health.
10. We know about genes, but do we truly understand what controls my glutathione?
Section titled “10. We know about genes, but do we truly understand what controls my glutathione?”While we’ve identified many genetic factors, our understanding of glutathione control is still evolving. Genetics only explain a fraction of the variation; environmental factors like diet, lifestyle, and even undiscovered rare genetic variants or epigenetic modifications also play significant roles. It’s a highly complex biological system.
This FAQ was automatically generated based on current genetic research and may be updated as new information becomes available.
Disclaimer: This information is for educational purposes only and should not be used as a substitute for professional medical advice. Always consult with a healthcare provider for personalized medical guidance.
References
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[4] Aulchenko, Yurii S., et al. “Loci Influencing Lipid Levels and Coronary Heart Disease Risk in 16 European Population Cohorts.”Nature Genetics, vol. 40, no. 12, 2008, pp. 1412–1416.
[5] Ridker, Paul M., et al. “Loci related to metabolic-syndrome pathways including LEPR, HNF1A, IL6R, and GCKR associate with plasma C-reactive protein: the Women’s Genome Health Study.” The American Journal of Human Genetics, vol. 82, no. 5, May 2008, pp. 1185–1192. PubMed, PMID: 18439548.
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[11] Kathiresan, Sekar, et al. “Common Variants at 30 Loci Contribute to Polygenic Dyslipidemia.” Nature Genetics, vol. 40, no. 12, 2008, pp. 1417–1424.
[12] Meigs, James B., et al. “Genome-wide association with diabetes-related traits in the Framingham Heart Study.” BMC Medical Genetics, vol. 8, no. S1, 2007, p. S16.
[13] Willer, Cristen J., et al. “Newly identified loci that influence lipid concentrations and risk of coronary artery disease.”Nature Genetics, vol. 40, no. 2, 2008, pp. 161-169.
[14] O’Donnell, Christopher J. et al. “Genome-wide association study for subclinical atherosclerosis in major arterial territories in the NHLBI’s Framingham Heart Study.”BMC Medical Genetics, vol. 8, no. S1, 2007, p. S4.
[15] Vasan, Ramachandran S. et al. “Genome-wide association of echocardiographic dimensions, brachial artery endothelial function and treadmill exercise responses in the Framingham Heart Study.” BMC Medical Genetics, vol. 8, no. S1, 2007, p. S1.