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. |
94 |
4. Check minimum number of eventsNone |
94 |
5. Include endpoints |
113 |
6. Filter based on genotype QC (FinnGen only) |
113 |
Control definitions (FinnGen only)
- Control exclude
- E4_OBESITY_HYPER
Extra metadata
- Level in the ICD hierarchy
- 3
- First used in FinnGen datafreeze
- DF2
Similar endpoints
↥List of similar endpoints to Other hyperalimentation based on the number of shared cases.
Similar with more cases:
- Obesity and other hyperalimentation
- Endocrine, nutritional and metabolic diseases
- Any event in hilmo or specialist outpatient
Similar with less cases:
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 767 | 460 | 298 |
Only index persons | 615 | 384 | 231 |
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 | 49.68 | 48.81 | 50.63 |
Only index persons | 48.07 | 47.96 | 48.24 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 113 | 74 | 39 |
Unadjusted period prevalence (%) | 0.02 | 0.03 | 0.02 |
Median age at first event (years) | 50.61 | 47.99 | 55.57 |
-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
- 107
- Matched controls
- 1071
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint E4_HYPERALI and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
E4_HYPERALI | 2.001 [1.3, 3.08] | 0.002 |
Birth year | 0.997 [0.99, 1.01] | 0.458 |
During the follow-up period (1.1.1998 — 31.12.2019), 64 out of 272 females with E4_HYPERALI died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
E4_HYPERALI | 3.536 [2.12, 5.89] | < 0.001 |
Birth year | 0.988 [0.98, 1.0] | 0.011 |
During the follow-up period (1.1.1998 — 31.12.2019), 65 out of 172 males with E4_HYPERALI died.
Mortality risk
Mortality risk for people of age
years, who have E4_HYPERALI.N-year risk | Females | Males |
---|---|---|
1 | 0.189% | 0.859% |
5 | 1.144% | 4.315% |
10 | 3.079% | 10.302% |
15 | 5.724% | 18.891% |
20 | 9.954% | 29.966% |
Relationships between endpoints
↥Index endpoint: E4_HYPERALI – Other hyperalimentation
GWS hits: -