gout: A condition characterized by painful swelling of the joints, which is caused by deposition of urate crystals.
Endpoint definition
↥Report an error or suggest an improvement for this endpoint codes
Endpoint definition steps |
FinnGen |
|---|---|
Phenotype data |
519870 |
1. Apply sex-specific ruleNone |
519870 |
2. Check conditionsNone |
519870 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters: 2 out of 7 registries used, show all original rules. |
119 |
4. Check minimum number of eventsNone |
119 |
5. Include endpointsNone |
119 |
6. Filter based on genotype QC (FinnGen only) |
117 |
Control definitions (FinnGen only)
- Control exclude
- GOUT
Extra metadata
- First used in FinnGen datafreeze
- DF2
- Parent code in ICD-10
- M10
- Name in latin
- Alia arthritis urica secundaria
Summary Statistics
↥-FinRegistry-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | |||
| Whole population | 964 | 358 | 599 |
| Only index persons | 824 | 302 | 522 |
| Unadjusted period prevalence (%) | |||
| Whole population | 0.01 | 0.01 | 0.02 |
| Only index persons | 0.02 | 0.01 | 0.02 |
| Median age at first event (years) | |||
| Whole population | 71.27 | 76.27 | 68.30 |
| Only index persons | 70.71 | 75.58 | 67.90 |
-FinnGen-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | 117 | 37 | 80 |
| Unadjusted period prevalence (%) | 0.03 | 0.01 | 0.04 |
| Median age at first event (years) | 67.88 | 68.14 | 67.76 |
-FinRegistry-
Age distribution of first events
-FinnGen-
Age distribution of first events
-FinRegistry-
Year distribution of first events
-FinnGen-
Year distribution of first events
-FinRegistry-
Cumulative Incidence Function
-FinnGen-
Cumulative Incidence Function
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
- 119
- Matched controls
- 1190
TimeCodeWAS
↥TODO / Current known limitations:
- Only showing the top 500 codes, because showing all (sometimes 20k) makes the page too slow.
- Legend / how to read the glyphs.
- Proper column names.
- Show details (e.g. Fisher or Chi-square test, N cases and N controls) when clicking on a row.
- Explanation on the underlying data / how the TimeCodeWAS is done (e.g. matched cases / controls, eligibility).
- Download CSV not working.
- No filters and sorters.
- Limited amount of endpoints with TimeCodeWAS data.
- Cross-links to Risteys lab test pages for lab test codes.
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint GOUT_SCND and mortality.
Females
| Parameter | HR [95% CI] | p-value |
|---|---|---|
| GOUT_SCND | 2.432 [1.7, 3.49] | < 0.001 |
| Birth year | 0.994 [0.99, 1.0] | 0.198 |
During the follow-up period (1.1.1998 — 31.12.2019), 157 out of 306 females with GOUT_SCND died.
Males
| Parameter | HR [95% CI] | p-value |
|---|---|---|
| GOUT_SCND | 3.031 [2.18, 4.21] | < 0.001 |
| Birth year | 0.986 [0.98, 1.0] | 0.003 |
During the follow-up period (1.1.1998 — 31.12.2019), 239 out of 515 males with GOUT_SCND died.
Mortality risk
Mortality risk for people of age
years, who have GOUT_SCND.| N-year risk | Females | Males |
|---|---|---|
| 1 | 0.272% | 0.647% |
| 5 | 1.404% | 3.526% |
| 10 | 3.392% | 7.938% |
| 15 | 6.578% | 14.883% |
| 20 | 11.242% | 24.572% |
Relationships between endpoints
↥Index endpoint: GOUT_SCND – Other secondary gout
GWS hits: -