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Chronic Kidney Disease

Chronic Kidney Disease (CKD) is a significant global public health concern characterized by a progressive decline in kidney function. It is a highly prevalent condition associated with substantial morbidity and an increasing incidence worldwide. The kidneys play a vital role in filtering waste products from the blood, maintaining fluid and electrolyte balance, and producing hormones. When kidney function deteriorates, waste products can build up, leading to various health complications. Research indicates that CKD has a heritable component, suggesting that genetic factors contribute to an individual’s susceptibility to the disease[1].

The biological basis of CKD involves the gradual loss of nephron function, the kidney’s filtering units. Kidney function is commonly assessed by estimating the glomerular filtration rate (eGFR), using blood markers such as serum creatinine (eGFRcrea) and cystatin C (eGFRcys) [1]. Genetic studies have identified several key loci associated with kidney function and CKD. For instance, single nucleotide polymorphisms (SNPs) at theUMOD locus are linked to CKD, while variants at UMOD, SHROOM3, and GATM/SPATA5L1 loci influence eGFRcrea. Additionally, SNPs at the CST and STC1 loci are associated with eGFRcys [1]. The UMODgene is particularly notable as it encodes Tamm-Horsfall protein, the most common protein found in human urine, and rare mutations in this gene are known to cause Mendelian forms of kidney disease[1]. These common genetic variants provide insights into the complex pathogenesis of CKD and collectively explain a portion of the variability in renal function [1].

Clinically, CKD poses a serious threat to health. It affects a substantial percentage of adults, with estimates around 10-13% in the US and similar figures in Europe [1]. Its most severe manifestation is end-stage renal disease (ESRD), a life-threatening condition that necessitates dialysis or kidney transplantation. Over 500,000 adults in the US alone require dialysis for ESRD[1]. Beyond progression to ESRD, CKD significantly increases the risk of cardiovascular disease and all-cause mortality[1]. Understanding the genetic underpinnings of CKD is crucial for early detection, risk stratification, and the development of targeted therapies.

The social importance of CKD is immense due to its high prevalence, chronic nature, and severe health consequences. The increasing incidence and prevalence worldwide place a substantial burden on healthcare systems and diminish the quality of life for millions [1]. By identifying genetic susceptibility loci, researchers aim to better predict disease risk, understand disease mechanisms, and potentially develop more effective preventive and therapeutic strategies, thereby mitigating the global public health impact of CKD.

Understanding the limitations of research into chronic kidney disease (CKD) is crucial for accurate interpretation of findings and for guiding future investigations. While this study provides valuable insights, several factors warrant consideration regarding its scope and generalizability.

The reliance on estimated glomerular filtration rate (eGFRcrea and eGFRcys) rather than direct measurements of kidney function presents a key methodological constraint. While eGFR equations are widely used for practical reasons in large population-based studies, they are estimates and may introduce a degree of imprecision or potential misclassification of kidney function compared to gold-standard direct glomerular filtration rate assessments. This estimation could potentially attenuate the strength of observed genetic associations or affect the precise characterization of CKD status. Furthermore, the definition of CKD in the study, based on eGFRcrea < 60 ml/min/1.73m2, represents a specific diagnostic criterion. While standard, this definition may not fully capture the diverse manifestations or progression stages of kidney damage, potentially limiting the comprehensive understanding of genetic influences across the full spectrum of CKD phenotypes. Different statistical adjustment methods employed across the discovery cohorts, such as sex-specific age- and study-site adjusted residuals versus multivariable regression for age, sex, and study site, also introduce subtle variations in how phenotypes were prepared for analysis.

A significant limitation concerning generalizability stems from the study’s focus on participants of European ancestry. All discovery and replication cohorts were drawn from predominantly Caucasian populations, with careful analysis to exclude cryptic population admixture. This ancestral homogeneity, while reducing the risk of spurious associations, restricts the direct applicability of the findings to other populations, where genetic architecture, environmental exposures, and CKD prevalence may differ substantially. Consequently, the identified susceptibility loci might not exhibit the same relevance or effect sizes in non-European populations, underscoring the need for further research in more diverse ancestral groups. Additionally, the genetic analysis was limited to common variants with a minor allele frequency (MAF) of 2% or higher. This exclusion of rare genetic variants means that the study does not capture their potential contribution to CKD susceptibility, which can be considerable, especially given their cumulative impact and often larger individual effect sizes in complex diseases.

Unexplained Heritability and Complex Etiology

Section titled “Unexplained Heritability and Complex Etiology”

Despite identifying specific genetic loci associated with CKD and eGFR, a substantial portion of the heritability for these traits remains unexplained by the common variants characterized to date. Heritability estimates for eGFRcrea range from 0.33 in population-based samples to between 0.41 and 0.75 in individuals with major CKD risk factors like hypertension or diabetes. This significant gap between observed heritability and the variance explained by identified common variants points to a “missing heritability” challenge, suggesting that other genetic factors, such as rarer variants, structural variations, or complex gene-gene interactions, are yet to be discovered. Moreover, chronic kidney disease is a multifactorial condition influenced by a complex interplay of genetic predispositions, environmental factors, and lifestyle choices. While this research focused on genetic associations, the study design did not comprehensively evaluate the impact of gene-environment interactions or the full spectrum of environmental confounders, which play crucial roles in disease development and progression and represent an ongoing area for future investigation.

Genetic variations play a significant role in an individual’s susceptibility to chronic kidney disease (CKD) by influencing gene function, protein activity, and various biological pathways. Key variants within genes such asAPOL1, MYH9, UMOD, and CST3have been extensively studied for their associations with kidney health and disease progression. These genetic differences can impact kidney filtration rates, structural integrity, and cellular responses, contributing to the complex etiology of CKD.

Variations in the APOL1 gene, including rs9622363 , rs9622362 , and rs58384577 , are strongly linked to an increased risk of several forms of CKD, particularly in individuals of African ancestry. APOL1encodes apolipoprotein L1, a protein involved in innate immunity and lipid metabolism, which circulates in the blood and can be taken up by kidney cells. Certain risk variants lead to a more stable or toxic form of the protein, causing damage to podocytes, specialized kidney cells essential for filtration. This can manifest as focal segmental glomerulosclerosis (FSGS), HIV-associated nephropathy (HIVAN), and hypertension-attributed CKD. The intergenic variantrs60295735 , located near APOL1 and MYH9, was historically associated with CKD, but further research has largely attributed this risk to the specific APOL1 variants, highlighting the critical role of APOL1in kidney disease pathogenesis.

The UMOD gene, encoding uromodulin (also known as Tamm-Horsfall protein), is crucial for kidney function, particularly in the thick ascending limb of the loop of Henle. Uromodulin plays a role in protecting against urinary tract infections and kidney stone formation, and it also influences salt reabsorption. Variants such as rs36060036 , rs13329952 , and rs34857077 can alter uromodulin production or function, leading to conditions like UMOD-associated kidney disease (UAKD) or influencing estimated glomerular filtration rate (eGFR) and CKD risk. SomeUMOD variants are associated with better kidney function and a lower likelihood of developing CKD. Similarly, the CST3 gene, which codes for cystatin C, a widely used biomarker for kidney function, also harbors relevant variants like rs911119 . These CST3 variants can influence serum cystatin C levels, thereby impacting eGFRcys estimations, though they may not directly reflect true glomerular filtration rate or primary CKD susceptibility. Variants in WDR72, including rs17730281 , rs10518733 , and rs491567 , point to a gene involved in cellular processes, potentially affecting renal tubular function or development, contributing to kidney health outcomes.

Beyond direct kidney-specific genes, variants in genes involved in broader metabolic and cellular processes can also influence CKD risk. For instance, TCF7L2 variants like rs7903146 and rs34872471 are strongly associated with an increased risk of type 2 diabetes, a leading cause of CKD, by affecting insulin secretion and glucose metabolism. Therefore, these variants can indirectly heighten CKD susceptibility through their impact on glycemic control. Variants inPRKAG2, such as rs6464165 , rs10224210 , and rs73728279 , are part of the AMP-activated protein kinase (AMPK) complex, a master regulator of cellular energy homeostasis; disruptions here can impact metabolic pathways relevant to kidney health. The HBB gene variant rs334 is associated with hemoglobinopathies like sickle cell disease, which directly cause severe kidney complications, including sickle cell nephropathy. Furthermore, variants in regions likeMPPED2-AS1 - DCDC1 (e.g., rs963837 , rs10767873 , rs3925584 ) and PDILT (e.g., rs77924615 , rs4408552 ) highlight less understood genetic contributions that may affect renal development, cell signaling, or structural integrity, collectively shaping an individual’s risk for chronic kidney disease.

RS IDGeneRelated Traits
rs911119 CST3chronic kidney disease
glomerular filtration rate
rs77924615
rs4408552
PDILTglomerular filtration rate
chronic kidney disease
blood urea nitrogen amount
serum creatinine amount
protein measurement
rs9622363
rs9622362
rs58384577
APOL1apolipoprotein L1 measurement
chronic kidney disease
anemia (phenotype)
phosphorus metabolism disease
Abnormality of metabolism/homeostasis
rs6464165
rs10224210
rs73728279
PRKAG2diastolic blood pressure
level of protein FAM3C in blood
uromodulin measurement
erythrocyte count
junctional adhesion molecule B measurement
rs334 HBBglomerular filtration rate
urinary albumin to creatinine ratio
HbA1c measurement
hemolysis
urate measurement
rs36060036
rs13329952
rs34857077
UMODCD27 antigen measurement
corneodesmosin measurement
trefoil factor 3 measurement
tgf-beta receptor type-2 measurement
thrombomodulin measurement
rs60295735 APOL1 - MYH9cytoskeleton-associated protein 2 measurement
chronic kidney disease
rs7903146
rs34872471
TCF7L2insulin measurement
clinical laboratory measurement, glucose measurement
body mass index
type 2 diabetes mellitus
type 2 diabetes mellitus, metabolic syndrome
rs963837
rs10767873
rs3925584
MPPED2-AS1 - DCDC1urinary system trait
glomerular filtration rate
chronic kidney disease
blood urea nitrogen amount
serum creatinine amount
rs17730281
rs10518733
rs491567
WDR72urinary system trait, blood urea nitrogen amount
chronic kidney disease
blood urea nitrogen amount
serum creatinine amount
glomerular filtration rate

Frequently Asked Questions About Chronic Kidney Disease

Section titled “Frequently Asked Questions About Chronic Kidney Disease”

These questions address the most important and specific aspects of chronic kidney disease based on current genetic research.


1. My family has kidney problems; will I get them too?

Section titled “1. My family has kidney problems; will I get them too?”

Yes, chronic kidney disease (CKD) has a heritable component, meaning genetic factors can increase your susceptibility. Genes likeUMOD, SHROOM3, and APOL1are known to influence kidney function and disease risk. While genetics play a role, lifestyle and environmental factors also contribute significantly.

Yes, unfortunately, certain genetic variations are strongly linked to increased risk in individuals of African ancestry. For instance, specific variants in the APOL1gene are known to significantly raise the risk of several forms of chronic kidney disease. This makes early screening and monitoring particularly important.

While you can’t change your genes, lifestyle factors are crucial in managing risk. Genetic predispositions interact with your environment, so healthy habits like maintaining a balanced diet, regular exercise, and managing blood pressure can help mitigate your risk, even with a family history.

Genetic testing can provide insights into your personal susceptibility. Variants in genes like UMOD, SHROOM3, CST3, and APOL1 are known to influence kidney function and CKD risk. This information can help you and your doctor monitor your health more closely and make informed decisions about preventive care.

Chronic kidney disease is complex, and genetics play a significant role even in individuals with seemingly healthy lifestyles. Common genetic variants in genes such asUMOD, SHROOM3, and CST3 can influence how well your kidneys filter waste, contributing to susceptibility regardless of outward health.

6. Does what I eat or how I live really matter if I have ‘bad’ kidney genes?

Section titled “6. Does what I eat or how I live really matter if I have ‘bad’ kidney genes?”

Absolutely. While genes contribute to susceptibility, CKD is a multifactorial condition. Environmental factors and lifestyle choices, such as diet, exercise, and managing other health conditions, significantly interact with your genetic predispositions, influencing disease development and progression.

7. Could I have kidney problems without knowing it?

Section titled “7. Could I have kidney problems without knowing it?”

Yes, often chronic kidney disease progresses silently in its early stages, with few noticeable symptoms. Genetic factors can influence your risk even before symptoms appear, making regular check-ups and monitoring kidney function important, especially if you have a family history.

8. Does my risk for kidney problems just go up as I get older?

Section titled “8. Does my risk for kidney problems just go up as I get older?”

While kidney function naturally declines with age, genetic factors also play a significant role in how rapidly this occurs and your overall susceptibility. Variants in genes like UMOD and CST3 can influence your kidney health trajectory over time, adding to age-related risk.

9. If I have kidney issues, will my children definitely get them?

Section titled “9. If I have kidney issues, will my children definitely get them?”

Not necessarily “definitely.” While there’s a heritable component to kidney disease, meaning your children may inherit some genetic predispositions, it doesn’t guarantee they will develop the condition. Many factors beyond genetics, including lifestyle and environment, influence who ultimately gets CKD.

10. Why do some people’s kidney problems get worse faster than others?

Section titled “10. Why do some people’s kidney problems get worse faster than others?”

The rate of kidney disease progression can be significantly influenced by specific genetic variants. For example, individuals with certainAPOL1variants, particularly those of African ancestry, may experience more rapid progression of their kidney disease. Other genetic factors and environmental influences also play a role.


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] Köttgen, Anna, et al. “Genome-wide association studies identify susceptibility loci for glomerular filtration rate and chronic kidney disease.”Nature Genetics, vol. 41, no. 6, 2009, pp. 669-676.