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. |
6 |
4. Check minimum number of eventsNone |
6 |
5. Include endpointsNone |
6 |
6. Filter based on genotype QC (FinnGen only) |
6 |
Control definitions (FinnGen only)
- Control exclude
- AB1_ARTHROPOD
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF5
Similar endpoints
↥List of similar endpoints to
Yellow fever
based on the number of shared cases.
Similar with more cases:
- Arthropod-borne viral fevers and viral haemorrhagic fevers
- Psychiatric diseases
- Certain infectious and parasitic diseases
- Cardiovascular diseases (excluding rheumatic etc)
- Antihypertensive medication - note that there are other indications
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | |||
| Whole population | 57 | 26 | 31 |
| Only index persons | 45 | 17 | 28 |
| Unadjusted period prevalence (%) | |||
| Whole population | 0.00 | 0.00 | 0.00 |
| Only index persons | 0.00 | 0.00 | 0.00 |
| Median age at first event (years) | |||
| Whole population | - | 68.29 | 50.78 |
| Only index persons | 51.62 | 57.46 | 48.08 |
-FinnGen-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | 6 | - | - |
| Unadjusted period prevalence (%) | 0.00 | - | - |
| Median age at first event (years) | 53.39 | - | - |
-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
No data
-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
Mortality – FinRegistry
↥Association
Association between endpoint AB1_YELLOW_FEVER and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have AB1_YELLOW_FEVER.| 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_YELLOW_FEVER – Yellow fever
GWS hits: -
Endpoint
Case Overlap
Survival Analysis
Genetic Correlations
Genetic Signals
N (Jaccard index)
HR [CI]
Extremity
rg [CI]
Extremity
Hits
Coloc Hits
FinRegistry
FinnGen
FinRegistry
FinnGen
FinnGen
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