Beta Hydroxybutyric Acid
Background
Section titled “Background”Beta-hydroxybutyric acid (BHB) is one of the three primary ketone bodies, water-soluble molecules produced by the liver from fatty acids. It serves as an alternative fuel source for the brain, heart, and muscles when glucose availability is low, such as during fasting, prolonged exercise, or carbohydrate-restricted diets. The presence of BHB in the blood is a key indicator of the body’s metabolic state, reflecting its reliance on fat metabolism for energy.
Biological Basis
Section titled “Biological Basis”Under conditions of low glucose, such as fasting or a ketogenic diet, the body shifts its primary energy source from carbohydrates to fats. This metabolic shift leads to increased breakdown of stored fats into fatty acids. These fatty acids are then transported to the liver, where they undergo beta-oxidation to produce acetyl-CoA. When the liver’s capacity to process acetyl-CoA through the citric acid cycle is exceeded, acetyl-CoA is diverted to produce ketone bodies, including beta-hydroxybutyrate. BHB is the most abundant ketone body in the blood and can be efficiently utilized by various tissues, including the brain, as an energy source.
Clinical Relevance
Section titled “Clinical Relevance”Measuring beta-hydroxybutyrate levels is crucial in clinical settings for diagnosing and managing several conditions. In individuals with diabetes, significantly elevated BHB levels are a hallmark of diabetic ketoacidosis (DKA), a severe and potentially life-threatening complication requiring urgent medical intervention. Monitoring BHB is also important in therapeutic contexts involving ketogenic diets, which are used to manage conditions such as refractory epilepsy and are explored for various metabolic and neurological disorders. In these cases, BHB levels are used to confirm and maintain a state of nutritional ketosis. Additionally, BHB levels can be indicative of other metabolic disturbances or prolonged starvation.
Social Importance
Section titled “Social Importance”The increasing popularity of ketogenic and low-carbohydrate diets has brought beta-hydroxybutyrate into broader public awareness. Individuals adopting these dietary approaches often measure their BHB levels to confirm they are in a state of ketosis, which is believed to confer various health benefits, including weight management and improved metabolic health. Beyond dietary trends, the therapeutic potential of ketosis is an active area of research for a wide array of conditions, from neurodegenerative diseases to certain cancers. This expanding interest underscores the social importance of understanding BHB and its role in human metabolism, impacting personal health decisions and informing medical research.
Methodological and Statistical Considerations
Section titled “Methodological and Statistical Considerations”The interpretation of findings related to beta hydroxybutyric acid is subject to several methodological and statistical limitations inherent in large-scale genetic studies. Many genome-wide association studies (GWAS) may suffer from moderate sample sizes, which can lead to insufficient power to detect modest genetic associations, thereby increasing the risk of false negative findings.[1] Conversely, the extensive multiple testing inherent in GWAS can elevate the likelihood of false positive associations, necessitating rigorous replication in independent cohorts to validate initial discoveries.[1] Furthermore, variations in assay methodologies and demographic characteristics across different study populations can introduce heterogeneity, complicating meta-analyses and potentially obscuring true genetic effects.[2] Challenges also arise from the analytical approaches themselves; for instance, the lack of overlap between findings from different statistical methods, such as GEE-based versus FBAT-based analyses, can complicate the interpretation of results.[3] The quality of imputation, which relies on reference panels like HapMap, can vary, and only SNPs meeting specific thresholds for imputation quality and minor allele frequency are typically considered, potentially leading to the exclusion of relevant genetic variants.[2] Additionally, the need for robust statistical transformations for non-normally distributed traits like some biomarker levels adds complexity, and the choice of transformation method can influence the detected associations.[4]
Generalizability and Cohort Specificity
Section titled “Generalizability and Cohort Specificity”A significant limitation concerning the generalizability of beta hydroxybutyric acid findings stems from the demographic homogeneity of many study cohorts. Several large-scale genetic studies have predominantly included individuals of white European ancestry, which restricts the direct applicability of identified genetic variants and their effect sizes to diverse global populations.[4] While efforts are often made to correct for population stratification through methods like genomic control or principal component analysis, residual confounding or unique genetic architectures in underrepresented groups may lead to an incomplete understanding of genetic influences across varied ancestries.[5]Additionally, studies focusing on specific populations, such as women-only cohorts (e.g., Women’s Genome Health Study) or those from founder populations (e.g., Northern Finland 1966 Birth Cohort), may introduce cohort-specific biases that limit the broader extrapolation of results.[5]
Unaccounted Factors and Remaining Knowledge Gaps
Section titled “Unaccounted Factors and Remaining Knowledge Gaps”Despite advancements in identifying genetic loci associated with beta hydroxybutyric acid, substantial knowledge gaps persist regarding the full spectrum of contributing factors. The ‘missing heritability’ phenomenon, where identified genetic variants explain only a fraction of the observed phenotypic variance, suggests a role for numerous undetected genetic factors, rare variants, or complex gene-gene and gene-environment interactions.[3] Current genome-wide association studies, by utilizing a subset of all available SNPs (e.g., from HapMap), may inherently miss certain genes or regulatory regions due to incomplete genomic coverage, underscoring the need for more comprehensive genotyping and sequencing efforts.[6]Moreover, the influence of unmeasured environmental confounders, lifestyle factors, and intricate biological pathways not fully captured by current proxies means that a complete etiological understanding of beta hydroxybutyric acid levels remains an ongoing challenge.[7]
Variants
Section titled “Variants”Genetic variations play a crucial role in influencing individual metabolic profiles and overall physiological health, including factors that can impact the production and utilization of beta hydroxybutyric acid. Single nucleotide polymorphisms (SNPs) within or near genes such asMERTK, NOSTRIN, SPC25, THSD7B, MSGN1, and KCNS3represent common variations that may subtly modulate various biological pathways. These genetic differences contribute to the complex interplay of factors determining metabolic phenotypes, which are extensively studied through genome-wide association studies (GWAS) to identify links between genetic markers and diverse biomarkers of health and disease.[8], [9] The rs12989808 variant is associated with the MERTK gene, which encodes a receptor tyrosine kinase integral to the clearance of apoptotic cells and the regulation of immune responses. MERTK plays a significant role in maintaining tissue homeostasis and dampening inflammation, particularly in the retina and immune system. Variations like rs12989808 could potentially alter the efficiency of cellular debris removal or modulate anti-inflammatory signaling pathways, thereby influencing the body’s overall inflammatory state. Since beta hydroxybutyric acid is recognized for its anti-inflammatory properties and as an important energy substrate, any genetic influence on inflammatory processes, such as throughMERTK, could indirectly affect the body’s metabolic flexibility and the systemic levels or effects of ketone bodies.[1], [10] Further contributing to the genetic landscape of metabolic regulation are variants like rs11676084 , located in proximity to NOSTRIN and SPC25, and rs10496767 associated with THSD7B. NOSTRIN is involved in regulating nitric oxide synthase activity, which is vital for vascular function and blood flow, while THSD7B encodes a protein implicated in angiogenesis and vascular development. Proper vascular health is fundamental for efficient nutrient and oxygen delivery to tissues, essential for metabolic processes like fatty acid oxidation and ketone body production. Alterations in these genes due to variants like rs11676084 and rs10496767 could affect vascular integrity or endothelial function, thereby influencing the metabolic environment and the body’s capacity to produce or utilize beta hydroxybutyric acid as an energy source.[4], [11] The rs11898180 variant, found in the region of MSGN1 and KCNS3, may also hold metabolic relevance. KCNS3encodes a voltage-gated potassium channel subunit, which is critical for regulating neuronal excitability and influencing cellular energy states, including those in pancreatic beta cells that secrete insulin.MSGN1, while primarily known for its role in embryonic development, could also have subtle long-term effects on tissue function. Genetic variations affecting ion channel function, such as those in KCNS3, can impact glucose homeostasis and overall cellular energy metabolism. Given that beta hydroxybutyric acid serves as an alternative fuel for the brain and plays a role in neuronal protection, a variant likers11898180 could modulate pathways that interact with ketone body metabolism, either by influencing energy sensing mechanisms or neurological functions.[12]
Key Variants
Section titled “Key Variants”| RS ID | Gene | Related Traits |
|---|---|---|
| rs12989808 | MERTK | beta-hydroxybutyric acid |
| rs11676084 | NOSTRIN, SPC25 | alpha-hydroxybutyric acid beta-hydroxybutyric acid sexual dimorphism |
| rs10496767 | THSD7B | beta-hydroxybutyric acid |
| rs11898180 | MSGN1 - KCNS3 | beta-hydroxybutyric acid |
Genetic Determinants of Ketone Body Metabolism
Section titled “Genetic Determinants of Ketone Body Metabolism”Genetic variations play a significant role in determining an individual’s metabolic profile, including the production of beta hydroxybutyric acid. Inherited variants in genes encoding enzymes crucial for fatty acid beta-oxidation, the primary pathway for ketone body synthesis, can directly influence metabolite levels. For instance, genome-wide association studies have identified specific polymorphisms within genes likeSCAD (short-chain acyl-Coenzyme A dehydrogenase) and MCAD (medium-chain acyl-Coenzyme A dehydrogenase) that strongly associate with related metabolic traits.[8] These enzymes are critical for initiating the breakdown of fatty acids into acetyl-CoA, which then enters the ketogenic pathway.
Variants such as the intronic SNP rs2014355 in SCAD on chromosome 12 and rs11161510 in MCAD on chromosome 1 have been shown to explain substantial variance in acylcarnitine ratios (C3/C4 and C8/C10, respectively).[8] These acylcarnitines are intermediates in fatty acid oxidation, and their altered ratios indicate impaired or modified enzyme function, directly impacting the availability of substrates for ketogenesis. Furthermore, Mendelian forms of deficiency, such as medium-chain acyl-CoA dehydrogenase deficiency (ACADM), correlate with specific biochemical phenotypes, underscoring the profound impact of single-gene variations on fatty acid metabolism and, by extension, ketone body production.[13]
Environmental and Lifestyle Influences
Section titled “Environmental and Lifestyle Influences”Environmental factors, encompassing lifestyle choices, diet, and broader demographic characteristics, also contribute to the variability of beta hydroxybutyric acid levels. While the specific impact of various diets or exposures on beta hydroxybutyric acid is not explicitly detailed, research indicates that demographic differences across populations can lead to varied metabolic profiles.[2]These variations suggest that diverse lifestyle factors, dietary habits, or other environmental exposures prevalent within different groups contribute to the observed differences in metabolic markers.
Early life environmental factors, such as infant feeding practices, have been shown to interact with genetic predispositions in fatty acid metabolism. For example, the effects of breastfeeding on cognitive outcomes are moderated by genetic variations in fatty acid metabolism, highlighting the influence of early nutritional environment on metabolic pathways.[14] This interaction implies that environmental exposures from a young age can modulate an individual’s metabolic state, potentially impacting the regulation of ketone body synthesis.
Gene-Environment Dynamics and Developmental Origins
Section titled “Gene-Environment Dynamics and Developmental Origins”The interplay between an individual’s genetic makeup and environmental exposures, particularly during critical developmental stages, significantly shapes metabolic outcomes, including those related to beta hydroxybutyric acid. Research demonstrates that genetic variations in fatty acid metabolism can moderate the effects of early life environmental factors, such as breastfeeding.[14] This dynamic interaction means that an inherited predisposition can alter how an individual responds to specific environmental triggers, influencing the efficiency and regulation of metabolic pathways that lead to ketone body production.
These early life influences can have lasting effects on an individual’s metabolic phenotype, establishing a foundational metabolic state. While specific epigenetic mechanisms like DNA methylation or histone modifications are not detailed, the concept of early life moderation by genetic background highlights how initial environmental conditions, in concert with genetic predispositions, can set the trajectory for metabolic regulation throughout life, thereby affecting levels of circulating metabolites like beta hydroxybutyric acid.
Analytical Considerations and Population Variability
Section titled “Analytical Considerations and Population Variability”Beyond inherent biological factors, the precise quantification of metabolic markers, including beta hydroxybutyric acid, can be affected by various methodological and population-specific considerations. Differences in assay techniques and analytical protocols across different studies or laboratories can introduce variability in reported biomarker levels.[2] Such methodological discrepancies necessitate rigorous standardization and careful adjustment for potential confounding covariates, such as age and sex, to ensure the accuracy and comparability of metabolic measurements.[1]Furthermore, the inherent demographic diversity within study populations, encompassing variations in age, sex, ethnic background, and potentially undiagnosed health conditions, can naturally contribute to the observed variability in overall metabolite profiles.[2]These population-specific characteristics reflect a complex interplay of genetic background, environmental exposures, and physiological states that collectively influence an individual’s metabolic signature and, consequently, their beta hydroxybutyric acid levels.
The Role of Beta-Hydroxybutyric Acid in Energy Metabolism
Section titled “The Role of Beta-Hydroxybutyric Acid in Energy Metabolism”Beta-hydroxybutyric acid (BHBA) is a key metabolite, belonging to a class of compounds known as ketone bodies, which serve as an alternative energy source for the body, particularly during periods of low glucose availability, such as fasting or prolonged exercise. The body’s ability to maintain the “homeostasis of key lipids, carbohydrates, or amino acids” is crucial for overall physiological function, and BHBA is a direct product of “fatty acid metabolism”.[8], [14] Its presence and concentration reflect the body’s metabolic state, providing a “functional readout of the physiological state of the human body”.[8]This metabolic flexibility ensures that vital organs, including the brain, have a continuous supply of fuel when glucose is scarce.
Genetic Influences on Metabolite Homeostasis
Section titled “Genetic Influences on Metabolite Homeostasis”The levels of circulating metabolites, including beta-hydroxybutyric acid, are significantly influenced by an individual’s genetic makeup. “Genome-wide association studies” are used to identify “genetic variants that associate with changes in the homeostasis of key lipids, carbohydrates, or amino acids”.[8] Such genetic variations can lead to “much larger effect sizes due to their direct involvement in metabolite conversion modification,” thus providing insights into the molecular mechanisms underlying metabolic traits.[8] For example, variations in genes involved in fatty acid metabolism, like ACADM (encoding medium-chain acyl-CoA dehydrogenase), have been correlated with “biochemical phenotypes in newborn screening for medium-chain acyl-CoA dehydrogenase deficiency”.[13] These genetic associations highlight how inherited factors can directly modulate the production and utilization of metabolites like BHBA.
Key Enzymes and Molecular Pathways in Ketone Body Regulation
Section titled “Key Enzymes and Molecular Pathways in Ketone Body Regulation”The production and utilization of beta-hydroxybutyric acid are tightly controlled by specific enzymes within complex molecular pathways, primarily occurring in the liver. The process of fatty acid oxidation, which is a precursor to ketone body synthesis, involves enzymes such as medium-chain acyl-CoA dehydrogenase, encoded by theACADM gene.[13] Proper function of these enzymes is essential for efficient “metabolite conversion modification”.[8] While HMGCR (3-hydroxy-3-methylglutaryl coenzyme A reductase) is primarily known for its role in cholesterol synthesis via the mevalonate pathway, its regulation and activity illustrate the intricate network of lipid metabolic pathways that are interconnected within the cell.[15], [16] These regulatory networks, involving various enzymes and signaling pathways, ensure that ketone body production is balanced with the body’s energy demands.
Pathophysiological Implications of Beta-Hydroxybutyric Acid Levels
Section titled “Pathophysiological Implications of Beta-Hydroxybutyric Acid Levels”Deviations from normal beta-hydroxybutyric acid levels can serve as indicators of various “pathophysiological processes” and “homeostatic disruptions” within the body. Metabolite profiles, including BHBA, offer a “functional readout of the physiological state” and can “provide access to the underlying molecular disease-causing mechanisms”.[8]For instance, excessively high levels of BHBA can be indicative of severe metabolic imbalances, such as diabetic ketoacidosis, reflecting a profound disruption in glucose and lipid metabolism. Conversely, genetic deficiencies in enzymes likeACADM, which impact fatty acid oxidation, can lead to altered “biochemical phenotypes”.[13] and an impaired ability to produce ketone bodies, with significant health consequences. Monitoring BHBA levels can thus provide critical insights into the body’s compensatory responses and the progression of metabolic diseases.
Metabolic Pathways and Energy Homeostasis
Section titled “Metabolic Pathways and Energy Homeostasis”The concentration of beta hydroxybutyric acid (BHB) provides a functional readout of the body’s physiological state, particularly concerning energy metabolism and the catabolism of fatty acids. Metabolomics, as a field, aims to comprehensively measure endogenous metabolites, allowing for the identification of metabolic phenotypes and insights into their underlying biological processes.[8]Changes in BHB levels reflect the flux through pathways involved in the breakdown of lipids and the subsequent production of ketone bodies, which serve as alternative energy sources during periods of low glucose availability or increased fatty acid oxidation.[8]
Genetic and Transcriptional Regulation of Metabolic Flux
Section titled “Genetic and Transcriptional Regulation of Metabolic Flux”The levels of metabolites like beta hydroxybutyric acid are profoundly influenced by genetic factors that regulate enzyme activity and metabolic flux. Genome-wide association studies (GWAS) have successfully identified numerous common genetic polymorphisms associated with variations in metabolite concentrations, including those within lipid and carbohydrate metabolism pathways.[8], [16]For example, genetic loci influencing lipid concentrations, such as those associated with high-density lipoprotein cholesterol or triglycerides, highlight the intricate network interactions that govern metabolic health.[8], [17]
Clinical Significance and Disease Mechanisms
Section titled “Clinical Significance and Disease Mechanisms”Dysregulation within these metabolic pathways, often influenced by genetic predispositions, can contribute to various disease states. For instance, altered lipid concentrations, influenced by multiple genetic loci, are associated with an increased risk of coronary artery disease, underscoring the clinical relevance of understanding metabolic pathway integrity.[8], [17] Furthermore, metabolomics platforms are valuable tools for identifying therapeutic targets and assessing drug toxicity, as they provide a direct readout of how genetic function and pharmacological interventions impact the metabolic state of an individual.[18]
Frequently Asked Questions About Beta Hydroxybutyric Acid
Section titled “Frequently Asked Questions About Beta Hydroxybutyric Acid”These questions address the most important and specific aspects of beta hydroxybutyric acid based on current genetic research.
1. Why do my BHB levels stay low even on a strict keto diet?
Section titled “1. Why do my BHB levels stay low even on a strict keto diet?”It’s frustrating when you’re following a diet strictly and not seeing the expected results. Your individual genetic makeup can influence how efficiently your body produces ketones, even on a ketogenic diet. There are many genetic variants and complex biological pathways that can affect your fat metabolism and your liver’s ability to convert fatty acids into BHB, explaining why some people struggle more than others to reach higher levels of ketosis.
2. Will my kids find it easier or harder to get into ketosis than me?
Section titled “2. Will my kids find it easier or harder to get into ketosis than me?”It’s possible for your children to have similar metabolic tendencies as you, as genetic factors influencing ketone production are heritable. However, genetics only explain part of the picture; lifestyle, environment, and other undetected genetic factors also play a significant role. Their unique combination of inherited genetic variants and lifestyle choices will ultimately determine how their bodies respond to ketogenic diets.
3. Does my ethnic background affect how well I process fats into ketones?
Section titled “3. Does my ethnic background affect how well I process fats into ketones?”Yes, your ethnic background could potentially play a role. Many large-scale genetic studies have focused mainly on individuals of white European ancestry, meaning our understanding of genetic influences on metabolism might be incomplete for diverse global populations. Different ethnic groups can have unique genetic architectures that affect how their bodies metabolize fats and produce ketones, so what applies to one group might not directly apply to another.
4. Can stress or lack of sleep really mess up my ketone production?
Section titled “4. Can stress or lack of sleep really mess up my ketone production?”Yes, stress and lack of sleep can absolutely impact your body’s metabolic state, including ketone production. These are considered unmeasured environmental confounders and lifestyle factors that influence intricate biological pathways. While not directly genetic, these factors can alter hormone levels and metabolic processes, making it harder for your body to shift into or maintain a state of ketosis, even if your diet is on point.
5. Why do some people seem to get into ketosis so easily compared to me?
Section titled “5. Why do some people seem to get into ketosis so easily compared to me?”It often comes down to individual genetic differences. Some people may have genetic variants that make their metabolism more efficient at producing ketones, or they might have fewer genetic factors that hinder the process. This “missing heritability” suggests there are many undetected genetic factors and complex gene-gene or gene-environment interactions that influence how easily someone enters and maintains ketosis.
6. Is my home BHB meter always accurate, or can it be misleading?
Section titled “6. Is my home BHB meter always accurate, or can it be misleading?”While home BHB meters are generally helpful, their readings can sometimes be misleading due to various factors. Methodological variations in different assay technologies, or even slight differences in how the test is performed, can introduce discrepancies. Your personal hydration levels, recent food intake, and other physiological states can also temporarily affect the readings, so it’s best to look at trends rather than single isolated measurements.
7. Can I overcome my family’s metabolic tendencies to get into ketosis?
Section titled “7. Can I overcome my family’s metabolic tendencies to get into ketosis?”Yes, you absolutely can influence your metabolic state, even if your family has certain metabolic tendencies. While genetic factors contribute to how easily you might enter ketosis, lifestyle choices like diet and exercise play a huge role. Understanding your individual response and consistently applying strategies that work for your body can help you achieve and maintain ketosis, despite any inherited predispositions.
8. If my BHB levels are high, does that always mean my diet is working perfectly?
Section titled “8. If my BHB levels are high, does that always mean my diet is working perfectly?”Not necessarily. While elevated BHB levels typically indicate nutritional ketosis on a ketogenic diet, very high levels can also signal other metabolic issues. For individuals with diabetes, significantly elevated BHB can be a sign of diabetic ketoacidosis (DKA), a severe and potentially life-threatening complication. Therefore, while often a good sign for diet adherence, extremely high or unexpectedly high levels should be interpreted in the context of your overall health.
9. Why don’t all the studies agree on the best way to measure BHB or what levels mean?
Section titled “9. Why don’t all the studies agree on the best way to measure BHB or what levels mean?”It’s true that studies can sometimes seem to have conflicting results or interpretations, and this applies to BHB research too. This often stems from variations in how studies are designed, including different assay methodologies used to measure BHB, and the diverse demographic characteristics of the study populations. Different statistical analysis methods can also lead to varying findings, making it challenging to draw universally consistent conclusions.
10. Beyond weight loss, can knowing my BHB levels tell me other things about my health?
Section titled “10. Beyond weight loss, can knowing my BHB levels tell me other things about my health?”Yes, absolutely! BHB levels are far more than just a diet tracker. Clinically, they’re crucial for diagnosing diabetic ketoacidosis and managing therapeutic ketogenic diets for conditions like refractory epilepsy. Researchers are also actively exploring the role of ketosis in neurodegenerative diseases and certain cancers. So, your BHB levels can offer insights into various metabolic disturbances and your body’s overall energy utilization beyond just weight management.
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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[3] 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. Suppl 1, 2 Oct. 2007, p. S2.
[4] Melzer, David et al. “A genome-wide association study identifies protein quantitative trait loci (pQTLs).” PLoS genetics vol. 4,5 (2008): e1000072.
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[7] Dehghan, Abbas, et al. “Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study.”The Lancet, vol. 372, no. 9648, 18 Oct. 2008, pp. 1408–1416.
[8] Gieger, C. et al. “Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.”PLoS Genet, 2008.
[9] Wallace, Chris et al. “Genome-wide association study identifies genes for biomarkers of cardiovascular disease: serum urate and dyslipidemia.”American journal of human genetics vol. 82,1 (2008): 139-49.
[10] Reiner, Alexander P et al. “Polymorphisms of the HNF1A gene encoding hepatocyte nuclear factor-1 alpha are associated with C-reactive protein.”American journal of human genetics vol. 82,5 (2008): 1193-201.
[11] Kathiresan, S., et al. “Common variants at 30 loci contribute to polygenic dyslipidemia.” Nat Genet, vol. 40, 2008, pp. 1293–1301.
[12] Sabatti, C., et al. “Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.”Nat Genet, vol. 40, 2008, pp. 1302–1310.
[13] Maier, E.M. et al. “Population spectrum of ACADM genotypes correlated to biochemical phenotypes in newborn screening for medium-chain acyl-CoA dehydrogenase deficiency.” Hum Mutat, 2005.
[14] Caspi, A. et al. “Moderation of breastfeeding effects on the IQ by genetic variation in fatty acid metabolism.” Proc Natl Acad Sci U S A, 2007.
[15] Goldstein, J. L., and M. S. Brown. “Regulation of the mevalonate pathway.” Nature, vol. 343, 1990, pp. 425–430.
[16] Burkhardt, R. et al. “Common SNPs in HMGCR in micronesians and whites associated with LDL-cholesterol levels affect alternative splicing of exon13.” Arterioscler Thromb Vasc Biol, 2008.
[17] Willer, C. J., et al. “Newly identified loci that influence lipid concentrations and risk of coronary artery disease.”Nat Genet, vol. 40, 2008, pp. 161–169.
[18] Nicholson, J. K., et al. “Metabonomics: a platform for studying drug toxicity and gene function.” Nat Rev Drug Discov, vol. 1, 2002.