ovarian disease: A disease involving the ovary.
Endpoint definition
↥
Endpoint definition steps |
FinnGen |
---|---|
Phenotype data |
520210 |
1. Apply sex-specific ruleonly females |
293373 |
2. Check conditionsNone |
293373 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters:
2 out of 7 registries used, show all original rules. |
210 |
4. Check minimum number of eventsNone |
210 |
5. Include endpointsNone |
210 |
6. Filter based on genotype QC (FinnGen only) |
210 |
Control definitions (FinnGen only)
- Control exclude
- E4_ENDOGLAND
Extra metadata
- Level in the ICD hierarchy
- 4
- First used in FinnGen datafreeze
- DF2
Similar endpoints
↥List of similar endpoints to Ovarian dysfunction, other/unspecified based on the number of shared cases.
Similar with more cases:
- Ovarian dysfunction
- Disorders of other endocrine glands
- Endocrine, nutritional and metabolic diseases
- Any event in hilmo or specialist outpatient
- Any prescribed medicine buy
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 1225 | 1225 | - |
Only index persons | 1157 | 1157 | - |
Unadjusted period prevalence (%) | |||
Whole population | 0.04 | 0.04 | - |
Only index persons | 0.04 | 0.04 | - |
Median age at first event (years) | |||
Whole population | - | 32.36 | - |
Only index persons | - | 31.95 | - |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 210 | 210 | - |
Unadjusted period prevalence (%) | 0.07 | 0.07 | - |
Median age at first event (years) | 32.98 | 32.98 | - |
-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
- 180
- Matched controls
- 1800
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint E4_OVARDYSNAS and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have E4_OVARDYSNAS.N-year risk | Females | Males |
---|---|---|
1 | No data | No data |
5 | No data | No data |
10 | No data | No data |
15 | No data | No data |
20 | No data | No data |
Relationships between endpoints
↥Index endpoint: E4_OVARDYSNAS – Ovarian dysfunction, other/unspecified
GWS hits: 1