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. |
68 |
4. Check minimum number of eventsNone |
68 |
5. Include endpointsNone |
68 |
6. Filter based on genotype QC (FinnGen only) |
68 |
Control definitions (FinnGen only)
- Control exclude
- D3_HAEMOLYTICANAEMIA
Extra metadata
- Level in the ICD hierarchy
- 4
- First used in FinnGen datafreeze
- DF2
- Parent code in ICD-10
- D58
- Name in latin
- Aliae haemoglobinopathiae
Similar endpoints
↥List of similar endpoints to Other haemoglobinopathies based on the number of shared cases.
Similar with more cases:
- Other hereditary haemolytic anaemias
- Haemolytic anaemias
- Anaemias
- Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
- Any operation in hilmo
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 673 | 321 | 297 |
Only index persons | 544 | 283 | 261 |
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 | 42.81 | 40.44 | 46.93 |
Only index persons | 45.77 | 43.01 | 48.75 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 68 | 35 | 33 |
Unadjusted period prevalence (%) | 0.01 | 0.01 | 0.01 |
Median age at first event (years) | 55.60 | 51.66 | 59.79 |
-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
- 58
- Matched controls
- 581
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint D3_OTHHAEMOGLOPAT and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have D3_OTHHAEMOGLOPAT.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: D3_OTHHAEMOGLOPAT – Other haemoglobinopathies
GWS hits: 1