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Kidneys

Kidney function is reported as a single number, and that number is calculated rather than measured — which is where genetics, and an argument about race in medicine, both come in.

Why this topic The equation used to estimate it was changed in 2021 to remove a race coefficient, which is one of the few times a clinical formula has been rewritten on an argument about who it was fitted to.

In the news

2026-03-25 · Queen Mary University of London & University of the Witwatersrand (KidneyGenAfrica consortium, ~26,000 continental Africans + 81,000 African-ancestry diaspora)

Largest genomic study of kidney function in Africa reveals new genetic risk factors

The KidneyGenAfrica consortium's GWAS of kidney function (eGFR) in ~26,000 continental Africans plus 81,000 African-ancestry people elsewhere found 4 genome-wide significant loci in continental Africa (2 new) and 19 in a broader pan-African analysis (3 new), and confirmed APOL1's kidney-disease-risk variants occur at lower frequency in continental Africa than in African Americans. The main finding: genetic risk scores built from genetically similar populations predicted kidney function meaningfully better than scores built on larger but more distant datasets -- a direct argument for the population-specific reference data this topic's own eGFR-equation history turns on, not a change to the equation itself.

2026-08-19 · Garrett ME et al., Blood Advances 2026 (PMID 42616615)

Why kidneys fail in sickle cell disease: genetic clues from both sides of patients’ ancestry

Kidney damage is a common complication of sickle cell disease, linked to early death. Splitting each patient’s genome into its African and European stretches, researchers searched both for genes tied to kidney function (eGFR) and found 12 regions in the African stretches and 38 in the European ones, supporting the idea that sickle cell kidney disease differs from other kidney disease. The same population question this topic turns on, asked inside one person’s genome.

What this topic connects to

Kidneys Variant: rs776746 rs776746 Variant Variant: rs17319721 rs17319721 Variant Variant: rs11864909 rs11864909 Variant Variant: rs141640975 rs141640975 Variant Variant: rs1800469 rs1800469 Variant Variant: +68 more +68 more Variant Kidneys Kidneys

Solid lines are connections this site curates. Dashed lines mean the two ends share a research paper — worth knowing, and not a claim that one explains the other.

Variants that share a paper with this

Counted in Europe PMC, where the title or abstract names both this topic and that rsID. The number is papers, not evidence of a cause.

rs776746

CYP3A5

CYP3A5 expression (*3 allele)

13 papers →

rs17319721

SHROOM3

Renal function and chronic kidney disease

11 papers →

rs11864909

UMOD

Renal function-related traits (sCR)

4 papers →

rs141640975

CUBN

Urinary albumin excretion

4 papers →

rs1800469

TGFB1

Colorectal cancer

4 papers →

rs429358

APOE

Lewy body disease

4 papers →

rs4343

ACE

Angiotensin-converting enzyme activity

4 papers →

rs671

ALDH2

Alcohol flush reaction

4 papers →

rs780094

GCKR

Uric acid levels

4 papers →

rs11722228

SLC2A9

Urate levels

3 papers →

rs1801133

MTHFR

Folate metabolism (MTHFR C677T)

3 papers →

rs2070600

AGER

Pulmonary function

3 papers →

rs4149056

SLCO1B1

Statin muscle-side-effect risk

3 papers →

rs10455872

LPA

Parental lifespan (LPA, lipoprotein(a))

2 papers →

rs1047891

CPS1

Plasma homocysteine levels (post-methionine load test)

2 papers →

rs16890979

SLC2A9

Urate levels

2 papers →

rs4244285

CYP2C19

CYP2C19 *2 — clopidogrel activation

2 papers →

rs5498

ICAM1

Soluble ICAM-1

2 papers →

rs6025

F5

Blood clotting risk (Factor V Leiden)

2 papers →

rs662799

APOA5

Triglyceride levels

2 papers →

rs762551

CYP1A2

Caffeine metabolism

2 papers →

rs1051730

CHRNA3

Smoking behavior

1 paper →

rs1054564

PGPEP1

Growth differentiation factor-15 levels

1 paper →

rs10767873

DCDC5

Renal function-related traits (BUN)

1 paper →

rs10954214

IRF5

Systemic seropositive rheumatic diseases (Systemic sclerosis or systemic lupus erythematosus or rheumatoid arthritis or idiopathic inflammatory myopathies)

1 paper →

rs11144134

TRPM6

Magnesium levels

1 paper →

rs12149832

FTO

Body mass index (SNP x SNP interaction)

1 paper →

rs12248560

CYP2C19

CYP2C19 *17 — increased enzyme activity

1 paper →

rs12446492

PDILT

Urinary uromodulin levels

1 paper →

rs12696304

TERC

Telomere length

1 paper →

rs12708716

KIAA0350

Type 1 diabetes

1 paper →

rs12970134

MC4R

Waist circumference and related phenotypes

1 paper →

rs13129697

SLC2A9

Urate levels

1 paper →

rs144360241

CUBN

Urinary albumin excretion

1 paper →

rs1532624

NLRC5

HDL cholesterol

1 paper →

rs1800437

GIPR

Obesity

1 paper →

rs1801131

MTHFR

Folate metabolism (MTHFR A1298C)

1 paper →

rs1803274

BCHE

Cardiovascular disease risk factors

1 paper →

rs182052

ADIPOQ

Adiponectin levels

1 paper →

rs2074356

C12orf51

Renal function-related traits (BUN)

1 paper →

rs2237892

KCNQ1

Type 2 diabetes

1 paper →

rs2237897

KCNQ1

Type 2 diabetes

1 paper →

rs2282679

GC

Vitamin D levels

1 paper →

rs2294008

PSCA

Bladder cancer

1 paper →

rs2300478

MEIS1

Restless legs syndrome

1 paper →

rs231362

KCNQ1

Type 2 diabetes

1 paper →

rs2540917

BCL11A

Mean corpuscular volume

1 paper →

rs267734

SETDB1

Chronic kidney disease

1 paper →

rs2736100

TERT

Lung adenocarcinoma

1 paper →

rs2814778

DARC / ACKR1

Duffy blood group (malaria resistance)

1 paper →

rs3127573

SLC22A2

Creatinine levels

1 paper →

rs3798220

LPA

Coronary heart disease

1 paper →

rs3923809

BTBD9

Restless legs syndrome

1 paper →

rs4410790

AGR3

Urinary albumin excretion

1 paper →

rs4420638

APOE

LDL cholesterol

1 paper →

rs4481233

SLC2A9

Metabolic traits

1 paper →

rs4731532

IRF5

Systemic sclerosis

1 paper →

rs4859682

SHROOM3

Glomerular filtration rate

1 paper →

rs4986893

CYP2C19

CYP2C19 *3 — clopidogrel activation

1 paper →

rs506338

SLC22A12

Urate levels

1 paper →

rs5370

EDN1

Circulating vasoactive peptide levels

1 paper →

rs7679

PLTP

Triglycerides

1 paper →

rs780093

GCKR

Crohn's disease

1 paper →

rs7805747

PRKAG2

Chronic kidney disease

1 paper →

rs7901695

TCF7L2

Type 2 diabetes

1 paper →

rs800292

CFH

Circulating myeloperoxidase levels (serum)

1 paper →

rs8050136

FTO

Type 2 diabetes

1 paper →

rs8101881

SLC7A9

Urinary metabolites

1 paper →

rs864745

JAZF1

Type 2 diabetes

1 paper →

rs888663

PGPEP1

Growth differentiation factor-15 levels

1 paper →

rs9923231

VKORC1

Warfarin sensitivity

1 paper →

rs9930506

FTO

Obesity-related traits

1 paper →

rs9939609

FTO

Menarche (age at onset)

1 paper →

How this was counted

Europe PMC, title and abstract only, searched for “kidney function”, “chronic kidney disease”, “glomerular filtration rate” alongside each published rsID. Full text was not counted: it returns every paper with an rsID buried in a supplementary table. Recounted monthly.

Quoting this page

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Kidneys. MyGeneLog™. https://www.mygenelog.com/topics/kidney

Questions about Kidneys

What are Kidneys?

Kidneys is this site's topic page for kidney-function genetics — a field where the number a clinic reports is calculated rather than directly measured, which is exactly where genetics enters.

Is kidney function genetic?

It has a real genetic component, but the number reported by a clinic — estimated glomerular filtration rate — is a calculation, not a direct measurement, so several non-genetic factors shape it too.

Why are kidneys a topic on this site now?

The equation used to estimate kidney function was changed in 2021 to remove a race coefficient — one of the few times a clinical formula has been rewritten over an argument about who it was fitted to.

How does this site decide which variants are linked to kidneys?

Europe PMC is searched for kidney function, chronic kidney disease or glomerular filtration rate appearing in a paper's title or abstract alongside a published rsID, recounted every month.