No definition available.
Endpoint definition
↥Report an error or suggest an improvement for this endpoint codes
Endpoint definition steps |
FinnGen |
---|---|
Phenotype data |
520210 |
1. Apply sex-specific ruleNone |
520210 |
2. Check conditionsNone |
520210 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters:
1 out of 7 registries used, show all original rules. |
156 |
4. Check minimum number of eventsNone |
156 |
5. Include endpointsNone |
156 |
6. Filter based on genotype QC (FinnGen only) |
156 |
Control definitions (FinnGen only)
Controls for this endpoint are individuals that are not cases.
Extra metadata
- Level in the ICD hierarchy
- C
- First used in FinnGen datafreeze
- DF5
Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 2039 | 925 | 1082 |
Only index persons | 1283 | 594 | 689 |
Unadjusted period prevalence (%) | |||
Whole population | 0.03 | 0.03 | 0.03 |
Only index persons | 0.02 | 0.02 | 0.03 |
Median age at first event (years) | |||
Whole population | 75.80 | 79.20 | 72.91 |
Only index persons | 74.55 | 78.74 | 70.93 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 156 | 50 | 106 |
Unadjusted period prevalence (%) | 0.04 | 0.02 | 0.05 |
Median age at first event (years) | 69.89 | 73.16 | 68.36 |
-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 (R11)
↥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
- 144
- Matched controls
- 1439
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint DRUGADVERS_GOUT and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
DRUGADVERS_GOUT | 2.636 [2.17, 3.21] | < 0.001 |
Birth year | 0.993 [0.98, 1.0] | 0.103 |
During the follow-up period (1.1.1998 — 31.12.2019), 583 out of 777 females with DRUGADVERS_GOUT died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
DRUGADVERS_GOUT | 2.856 [2.31, 3.53] | < 0.001 |
Birth year | 0.986 [0.98, 1.0] | 0.003 |
During the follow-up period (1.1.1998 — 31.12.2019), 683 out of 935 males with DRUGADVERS_GOUT died.
Mortality risk
Mortality risk for people of age
years, who have DRUGADVERS_GOUT.N-year risk | Females | Males |
---|---|---|
1 | 0.264% | 0.645% |
5 | 1.546% | 3.143% |
10 | 3.113% | 7.409% |
15 | 6.06% | 14.055% |
20 | 11.075% | 22.563% |
Relationships between endpoints
↥Index endpoint: DRUGADVERS_GOUT – Drug-induced gout
GWS hits: -