No definition available.
Endpoint definition
↥
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:
2 out of 7 registries used, show all original rules. |
74 |
4. Check minimum number of eventsNone |
74 |
5. Include endpointsNone |
74 |
6. Filter based on genotype QC (FinnGen only) |
74 |
Control definitions (FinnGen only)
- Control exclude
- AB1_PEDICULOSIS_ACARIASIS_OTHERINFEST
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF5
Similar endpoints
↥List of similar endpoints to Other infestations based on the number of shared cases.
Similar with more cases:
- Pediculosis, acariasis and other infestations
- Certain infectious and parasitic 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 | 719 | 350 | 362 |
Only index persons | 625 | 315 | 310 |
Unadjusted period prevalence (%) | |||
Whole population | 0.01 | 0.01 | 0.01 |
Only index persons | 0.01 | 0.01 | 0.01 |
Median age at first event (years) | |||
Whole population | 44.33 | 46.56 | 42.11 |
Only index persons | 47.68 | 50.31 | 45.01 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 74 | 40 | 34 |
Unadjusted period prevalence (%) | 0.01 | 0.01 | 0.01 |
Median age at first event (years) | 55.87 | 57.00 | 54.53 |
-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
- 72
- Matched controls
- 721
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint AB1_OTHER_INFESTATIONS and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have AB1_OTHER_INFESTATIONS.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: AB1_OTHER_INFESTATIONS – Other infestations
GWS hits: -