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Nausea And Vomiting

Nausea and vomiting are common, often distressing, symptoms that serve as a protective reflex to expel potentially harmful substances from the body. Nausea is the unpleasant sensation that precedes vomiting, which is the forceful expulsion of stomach contents through the mouth. While often benign and self-limiting, these symptoms can also indicate serious underlying health conditions or be a significant side effect of medical treatments.

The biological basis of nausea and vomiting involves a complex interplay of neural pathways centered in the brainstem, particularly the vomiting center. This center receives signals from various sources, including the chemoreceptor trigger zone (CTZ), which monitors blood and cerebrospinal fluid for toxins; the vestibular system, responsible for balance; the gastrointestinal tract, responding to irritation or distension; and higher cortical centers, influenced by psychological factors like stress, pain, or unpleasant sights and smells. Key neurotransmitters such as dopamine, serotonin, acetylcholine, histamine, and substance P play crucial roles in mediating these signals, making them targets for antiemetic medications.

Clinically, nausea and vomiting are highly relevant across numerous medical specialties. They are common symptoms in infectious diseases (e.g., gastroenteritis), neurological conditions (e.g., migraines, motion sickness, elevated intracranial pressure), gastrointestinal disorders (e.g., gastroparesis, GERD, bowel obstruction), pregnancy (morning sickness), and as a major side effect of medications, particularly chemotherapy, opioids, and anesthetics. Persistent or severe nausea and vomiting can lead to serious complications such as dehydration, electrolyte imbalances, malnutrition, and aspiration pneumonia, necessitating careful diagnosis and management.

The social importance of nausea and vomiting is considerable, impacting individuals’ quality of life, productivity, and healthcare systems. Chronic or severe episodes can disrupt daily activities, impair work or school performance, and lead to significant emotional distress. Certain populations, such as pregnant women, cancer patients undergoing treatment, and individuals with chronic digestive disorders, experience a disproportionate burden. Understanding the mechanisms and improving treatments for nausea and vomiting are vital for patient well-being and public health.

Understanding the genetic underpinnings of complex traits like nausea and vomiting presents several inherent challenges, often encountered in genome-wide association studies (GWAS). These limitations can impact the power to detect genetic associations, the interpretability of findings, and the generalizability of results across diverse populations.

Methodological and Statistical Constraints

Section titled “Methodological and Statistical Constraints”

Genetic studies of complex traits often face constraints related to sample size, statistical power, and the nature of genetic effects. Many common genetic variants associated with complex phenotypes typically exert very small individual effects, necessitating extremely large cohorts for robust detection[1]. This can lead to effect-size inflation in initial discovery studies, where only the strongest signals from underpowered analyses are reported, and subsequent replication efforts are crucial to validate these findings[2]. Furthermore, the extensive multiple testing inherent in GWAS requires stringent statistical thresholds, which can inadvertently mask true associations with modest effect sizes, especially when studies do not perform sex-specific analyses for traits that might exhibit sex-dependent genetic influences [3]. The reliance on a subset of all possible genetic variations, such as those covered by genotyping arrays or imputation based on reference panels like HapMap, means that some causal variants or genes may be missed due to incomplete genomic coverage, limiting a comprehensive understanding of the trait’s genetic architecture [3].

Phenotypic Heterogeneity and Measurement Challenges

Section titled “Phenotypic Heterogeneity and Measurement Challenges”

The precise definition and consistent measurement of nausea and vomiting pose significant challenges for genetic research. As a subjective experience, the phenotype can vary widely in severity, frequency, and underlying etiology among individuals, making it difficult to establish a uniform and objective measure across study participants. Such phenotypic heterogeneity can dilute genetic signals, as distinct subtypes of nausea and vomiting may have different genetic bases that are obscured when the trait is analyzed as a single entity. Moreover, the dynamic nature of these symptoms means that a single measurement might not accurately capture the chronic or episodic experience, potentially leading to misclassification and reduced power to detect relevant genetic associations.

Population Diversity, Environmental Factors, and Knowledge Gaps

Section titled “Population Diversity, Environmental Factors, and Knowledge Gaps”

The generalizability of genetic findings for nausea and vomiting can be limited by the ancestral composition of study cohorts. Most large-scale GWAS have historically focused on populations of European descent, which can lead to cohort biases and challenges in replicating findings or applying risk predictions to more diverse populations[4]. Genetic variants may have different frequencies or effects in populations with distinct ancestral backgrounds, and unaddressed population stratification can lead to spurious associations. Beyond genetics, environmental factors and gene-environment interactions likely play a substantial role in the manifestation and severity of nausea and vomiting. These complex interactions, along with epigenetic modifications and rare genetic variants, contribute to the “missing heritability” of complex traits, indicating that a significant portion of the genetic variance remains unexplained by common variants detected in typical GWAS[1]. Addressing these remaining knowledge gaps requires more diverse cohorts and innovative study designs that can comprehensively capture environmental exposures and their interplay with genetic predispositions.

The ADAMTS17 gene, or “A Disintegrin And Metalloproteinase With Thrombospondin Motifs 17,” encodes an enzyme belonging to a family of proteases that play a crucial role in remodeling the extracellular matrix (ECM). This intricate network of proteins and carbohydrates provides structural support to tissues and influences cell communication throughout the body. Variants within ADAMTS17, such as rs77616203 , can subtly alter the gene’s activity, potentially affecting the precise breakdown and formation of ECM components. Such alterations might impact the structural integrity and signaling pathways in various tissues, similar to how genetic factors are explored for their influence on diverse health outcomes, including those related to neurological and psychiatric conditions [5] [6].

The variant rs77616203 , depending on its specific location and effect, could influence the quantity or function of the ADAMTS17 enzyme. For instance, if rs77616203 affects a regulatory region or alters the protein’s structure, it might lead to less efficient ECM turnover or altered substrate specificity. In the context of nausea and vomiting, disruptions in ECM integrity or signaling in specific tissues could be significant. For example, the enteric nervous system, which controls gut motility and sensation, relies on a healthy ECM environment. Similarly, the vestibular system or the brainstem’s vomiting center could be indirectly affected by subtle changes in tissue structure or cell-to-cell communication influenced by ADAMTS17 activity. Such genetic influences are part of a complex interplay, where variants likers12272004 in other genes, such as BCMO1, have been linked to different physiological processes like circulating carotenoid levels, highlighting the broad impact of genetic variation on bodily functions[7].

While direct links between rs77616203 and nausea and vomiting are still being explored, the broader role of ADAMTS17 in connective tissue health suggests potential pathways. For example, severe mutations inADAMTS17 are known to cause conditions like Weill-Marchesani syndrome, characterized by connective tissue abnormalities. More common variants like rs77616203 might contribute to milder, subclinical changes that affect an individual’s susceptibility to symptoms like nausea and vomiting, particularly when combined with other genetic or environmental factors. This aligns with the understanding that many complex traits and symptoms, including those related to neurological function, are influenced by multiple genetic variations[8] [9].

RS IDGeneRelated Traits
rs77616203 ADAMTS17nausea and vomiting

Classification, Definition, and Terminology

Section titled “Classification, Definition, and Terminology”

Defining Nausea and Vomiting: Core Concepts and Measurement

Section titled “Defining Nausea and Vomiting: Core Concepts and Measurement”

Classification Systems for Nausea and Vomiting

Section titled “Classification Systems for Nausea and Vomiting”

Key Terminology and Nomenclature in Nausea and Vomiting

Section titled “Key Terminology and Nomenclature in Nausea and Vomiting”

Frequently Asked Questions About Nausea And Vomiting

Section titled “Frequently Asked Questions About Nausea And Vomiting”

These questions address the most important and specific aspects of nausea and vomiting based on current genetic research.


1. Why do I get motion sickness so easily, but my friend never does?

Section titled “1. Why do I get motion sickness so easily, but my friend never does?”

Your genetic makeup can influence your sensitivity to motion. Nausea and vomiting are complex traits, meaning many small genetic variations contribute to how your vestibular system (balance) and brainstem process signals, making some people naturally more prone to motion sickness than others.

2. Does my family history of bad morning sickness mean I’ll get it too?

Section titled “2. Does my family history of bad morning sickness mean I’ll get it too?”

There can be inherited tendencies for conditions like morning sickness. While we don’t have specific genes identified, your family’s shared genetic background can predispose you to similar experiences. However, environmental factors and individual differences also play a significant role.

3. I feel sick from certain smells others don’t notice. Is that genetic?

Section titled “3. I feel sick from certain smells others don’t notice. Is that genetic?”

Yes, your genetic variations can influence how your brain’s higher cortical centers respond to sensory input like smells. This individual sensitivity is part of the “phenotypic heterogeneity,” meaning nausea manifests differently in different people, partly due to their unique genetic wiring.

4. Why do some people handle chemotherapy without much nausea, unlike me?

Section titled “4. Why do some people handle chemotherapy without much nausea, unlike me?”

Individual genetic differences can affect how your body metabolizes medications and how your brain’s chemoreceptor trigger zone and vomiting center react to toxins. These genetic variations can influence your susceptibility to nausea as a side effect and how effectively antiemetic drugs work for you.

5. Does my ethnic background affect my risk for severe nausea?

Section titled “5. Does my ethnic background affect my risk for severe nausea?”

Your ancestral background can play a role. Genetic variants can have different frequencies and effects across diverse populations. Much of the large-scale genetic research has historically focused on specific populations, so understanding how genetic risks for nausea vary across all ethnic groups is still an active area of study.

6. Can what I eat or how stressed I am make my inherited nausea worse?

Section titled “6. Can what I eat or how stressed I am make my inherited nausea worse?”

Absolutely. Environmental factors like diet, stress, and lifestyle interact with your genetic predispositions. While you might have a genetic tendency for nausea, these external factors can significantly influence whether symptoms appear, how often, and how severely.

7. Is there a DNA test to predict if I’ll get bad nausea from surgery or meds?

Section titled “7. Is there a DNA test to predict if I’ll get bad nausea from surgery or meds?”

Currently, there isn’t a single, widely available DNA test that can definitively predict your nausea risk for all medical procedures or medications. Nausea and vomiting are complex traits with many small genetic influences, making it challenging to pinpoint specific predictive markers.

8. My sibling gets migraines with vomiting, but I only get headaches. Why the difference?

Section titled “8. My sibling gets migraines with vomiting, but I only get headaches. Why the difference?”

Even within the same family, individual genetic variations can lead to different symptom profiles. Nausea and vomiting can be highly variable, and distinct subtypes, such as those associated with migraines, may have different underlying genetic factors that manifest uniquely in siblings.

9. I get nauseous when I’m super anxious. Is that “all in my head” or genetic too?

Section titled “9. I get nauseous when I’m super anxious. Is that “all in my head” or genetic too?”

It’s a combination of both. Your brain’s higher cortical centers, influenced by psychological factors like anxiety, can directly trigger nausea. Additionally, your genetic makeup can influence your predisposition to anxiety and how your brain processes stress, making you more physically reactive.

10. Why do some anti-nausea medicines work great for my friend, but not for me?

Section titled “10. Why do some anti-nausea medicines work great for my friend, but not for me?”

Your genetic variations can influence how your body responds to different medications. Antiemetics target specific neurotransmitter pathways in the brain. Individual genetic differences in these pathways can explain why a particular drug works effectively for one person but has limited impact or different side effects for another.


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.

[1] Benjamin, Daniel J., et al. “The genetic architecture of economic and political preferences.” Proc Natl Acad Sci U S A, vol. 109, no. 19, 2012, pp. 7472-7477.

[2] Zuo, Lingli, et al. “Genome-wide search for replicable risk gene regions in alcohol and nicotine co-dependence.” Am J Med Genet B Neuropsychiatr Genet, vol. 159B, no. 3, 2012, pp. 297-308.

[3] Yang, Qiong, et al. “Genome-wide association and linkage analyses of hemostatic factors and hematological phenotypes in the Framingham Heart Study.”BMC Med Genet, vol. 8, no. 1, 2007, p. 55.

[4] Price, Alkes L., et al. “Principal components analysis corrects for stratification in genome-wide association studies.” Nat Genet, vol. 38, no. 8, 2006, pp. 904-909.

[5] Zuo, L., et al. “Genome-wide search for replicable risk gene regions in alcohol and nicotine co-dependence.” American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, vol. 162, no. 5, 2013, pp. 407-418.

[6] Edwards, A. C., et al. “Genome-wide association study of comorbid depressive syndrome and alcohol dependence.”Psychiatric Genetics, vol. 22, no. 1, 2012, pp. 1-10.

[7] Ferrucci, L., et al. “Common variation in the beta-carotene 15,15’-monooxygenase 1 gene affects circulating levels of carotenoids: a genome-wide association study.” American Journal of Human Genetics, vol. 84, no. 2, 2009, pp. 123-133.

[8] Hollingworth, P., et al. “Genome-wide association study of Alzheimer’s disease with psychotic symptoms.”Molecular Psychiatry, vol. 18, no. 2, 2013, pp. 162-168.

[9] Huang, J., et al. “Cross-disorder genomewide analysis of schizophrenia, bipolar disorder, and depression.”American Journal of Psychiatry, vol. 171, no. 1, 2014, pp. 122-123.