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 filtersNone 0 out of 7 registries used, show all original rules. |
0 |
4. Check minimum number of eventsNone |
0 |
5. Include endpoints |
185 |
6. Filter based on genotype QC (FinnGen only) |
185 |
Control definitions (FinnGen only)
- Control exclude
- AB1_PROTOZOAL
Extra metadata
- First used in FinnGen datafreeze
- DF5
Similar endpoints
↥List of similar endpoints to Malaria based on the number of shared cases.
Similar with more cases:
- Protozoal diseases
- Certain infectious and parasitic diseases
- Any event in hilmo or specialist outpatient
- Any prescribed medicine buy
Similar with less cases:
Case counts by codes
↥FinnGen case counts by registry codes:
No data for upset plot.
No data for upset table.
Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 2110 | 834 | 1215 |
Only index persons | 1820 | 733 | 1087 |
Unadjusted period prevalence (%) | |||
Whole population | 0.03 | 0.02 | 0.03 |
Only index persons | 0.04 | 0.03 | 0.04 |
Median age at first event (years) | |||
Whole population | 35.94 | 35.12 | 36.67 |
Only index persons | 35.61 | 34.39 | 36.42 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 185 | 89 | 96 |
Unadjusted period prevalence (%) | 0.04 | 0.03 | 0.04 |
Median age at first event (years) | 37.88 | 34.30 | 41.21 |
-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
- 164
- Matched controls
- 1640
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint AB1_MALARIA and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
AB1_MALARIA | 2.107 [1.54, 2.88] | < 0.001 |
Birth year | 1.002 [0.99, 1.01] | 0.702 |
During the follow-up period (1.1.1998 — 31.12.2019), 94 out of 611 females with AB1_MALARIA died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
AB1_MALARIA | 1.356 [1.05, 1.74] | 0.018 |
Birth year | 0.987 [0.98, 1.0] | 0.007 |
During the follow-up period (1.1.1998 — 31.12.2019), 85 out of 823 males with AB1_MALARIA died.
Mortality risk
Mortality risk for people of age
years, who have AB1_MALARIA.N-year risk | Females | Males |
---|---|---|
1 | 0.239% | 0.241% |
5 | 1.427% | 1.494% |
10 | 3.723% | 3.803% |
15 | 7.009% | 7.091% |
20 | 12.556% | 12.263% |
Relationships between endpoints
↥Index endpoint: AB1_MALARIA – Malaria
GWS hits: 2