This is a non-core endpoint: only basic statistics are computed.
Glycosuria
R18_GLYCOSURIA
renal glycosuria: An autosomal inherited disorder due to defective reabsorption of GLUCOSE by the PROXIMAL RENAL TUBULES. The urinary loss of glucose can reach beyond 50 g/day. It is attributed to the mutations in the SODIUM-GLUCOSE TRANSPORTER 2 encoded by the SLC5A2 gene.
Endpoint definition
↥Report an error or suggest an improvement for this endpoint codes
Endpoint definition steps |
FinnGen |
|---|---|
Phenotype data |
519972 |
1. Apply sex-specific ruleNone |
519972 |
2. Check conditionsNone |
519972 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters: 2 out of 7 registries used, show all original rules. |
67 |
4. Check minimum number of eventsNone |
67 |
5. Include endpointsNone |
67 |
6. Filter based on genotype QC (FinnGen only) |
62 |
Control definitions (FinnGen only)
- Control exclude
- R18_ABNORMAL_FINDI_EXAMI_URINE_WO_DIAGNOSIS
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF4
- Parent code in ICD-10
- R8[0-2]
- Name in latin
- Glucosuria
Similar endpoints
↥List of similar endpoints to
Glycosuria
based on the number of shared cases.
Similar with more cases:
- Abnormal findings on examination of urine, without diagnosis
- Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
- Any event in hilmo or specialist outpatient
- Any prescribed medicine buy
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
This endpoint is excluded from FinRegistry analyses (omitted endpoint).
-FinnGen-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | 62 | 46 | 16 |
| Unadjusted period prevalence (%) | 0.01 | 0.02 | 0.01 |
| Median age at first event (years) | 39.44 | 30.66 | 64.69 |
-FinnGen-
Age distribution of first events
-FinnGen-
Year distribution of first events
-FinnGen-
Cumulative Incidence Function
Not a core endpoint, no data to show.
CodeWAS
↥CodeWAS is a tool for exploring the associations between an endpoint and all of the medical codes and drug codes.
This is a new tool, please reach out using the contact form for feedback and improvement ideas.
First, a cohort is built by matching controls to the endpoint cases using year of birth and sex. Then, a Fisher test is done for all the medical codes and drug codes between the cases and controls of this cohort. Codes are reported in the table below if they have −log10(p-value) ≥ 6.
Matched cohort
- Matched cases
- 67
- Matched controls
- 670
LabWAS
↥Mortality – FinRegistry
↥This endpoint is excluded from FinRegistry analyses (omitted endpoint).
Relationships between endpoints
↥Index endpoint: R18_GLYCOSURIA – Glycosuria
GWS hits: -
This endpoint is excluded from FinRegistry analyses (omitted endpoint).