This is a non-core endpoint: only basic statistics are computed.
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. |
42 |
4. Check minimum number of eventsNone |
42 |
5. Include endpointsNone |
42 |
6. Filter based on genotype QC (FinnGen only) |
42 |
Control definitions (FinnGen only)
- Control exclude
- I9_CEREBVASC
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF2
- Parent code in ICD-10
- I67
- Name in latin
- Morbus moyamoya
Similar endpoints
↥List of similar endpoints to Moyamoya based on the number of shared cases.
Similar with more cases:
- Cerebrovascular diseases
- Neurological diseases, wide definition
- Cardiovascular diseases
- Any operation in hilmo
- Any event in hilmo or specialist outpatient
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 260 | 184 | 73 |
Only index persons | 240 | 170 | 70 |
Unadjusted period prevalence (%) | |||
Whole population | 0.00 | 0.01 | 0.00 |
Only index persons | 0.01 | 0.01 | 0.00 |
Median age at first event (years) | |||
Whole population | 43.29 | 42.88 | 44.67 |
Only index persons | 42.72 | 41.59 | 45.44 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 42 | 30 | 12 |
Unadjusted period prevalence (%) | 0.01 | 0.01 | 0.01 |
Median age at first event (years) | 40.18 | 38.03 | 45.56 |
-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
Not a core endpoint, no data to show.
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.
No data available
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint I9_MOYAMO and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have I9_MOYAMO.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: I9_MOYAMO – Moyamoya
GWS hits: -