This is a non-core endpoint: only basic statistics are computed.
Zika virus disease
U22_ZIKA_VIRUS_DISEA
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. |
0 |
4. Check minimum number of eventsNone |
0 |
5. Include endpointsNone |
0 |
6. Filter based on genotype QC (FinnGen only)None |
0 |
Control definitions (FinnGen only)
- Control exclude
- U22_PROVI_ASSIG_NEW_DISEA_UNCER_ETIOL
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF4
- Parent code in ICD-10
- U[0-4]
Zika virus disease
based on the number of shared cases.
Similar with more cases:
Similar with less cases:
Summary Statistics
↥-FinRegistry-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | |||
| Whole population | - | - | - |
| Only index persons | - | - | - |
| Unadjusted period prevalence (%) | |||
| Whole population | - | - | - |
| Only index persons | - | - | - |
| Median age at first event (years) | |||
| Whole population | - | - | - |
| Only index persons | - | - | - |
-FinnGen-
Key figures
| All | Female | Male | |
|---|---|---|---|
| Number of individuals | - | - | - |
| Unadjusted period prevalence (%) | - | - | - |
| Median age at first event (years) | - | - | - |
-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
LabWAS
↥OMOP Concept
People with measurements
Mean N measurements
Mean measured value
(ID) Name
N Cases
N Controls
OR
-log10(p)
cases
controls
cases
controls
unit
-log10(p)
N cases
N controls
Mortality – FinRegistry
↥Association
Association between endpoint U22_ZIKA_VIRUS_DISEA and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have U22_ZIKA_VIRUS_DISEA.| 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: U22_ZIKA_VIRUS_DISEA – Zika virus disease
GWS hits: -
Endpoint
Case Overlap
Survival Analysis
Genetic Correlations
Genetic Signals
N (Jaccard index)
HR [CI]
rg [CI]
Hits
Coloc Hits
FinRegistry
FinnGen
FinRegistry
FinnGen
FinnGen
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