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. |
59 |
4. Check minimum number of eventsNone |
59 |
5. Include endpointsNone |
59 |
6. Filter based on genotype QC (FinnGen only) |
59 |
Control definitions (FinnGen only)
- Control exclude
- E4_OBESITY_HYPER
Extra metadata
- Level in the ICD hierarchy
- 4
- First used in FinnGen datafreeze
- DF2
- Parent code in ICD-10
- E65-E68
- Name in latin
- Sequelae hyperalimentationis
Similar endpoints
↥List of similar endpoints to Sequelae of hyperalimentation based on the number of shared cases.
Similar with more cases:
- Other hyperalimentation
- Obesity and other hyperalimentation
- Other nutritional deficiencies
- Endocrine, nutritional and metabolic diseases
- Any operation in hilmo
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 324 | 197 | 127 |
Only index persons | 306 | 189 | 117 |
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 | - | 49.24 | 58.24 |
Only index persons | 52.05 | 48.89 | 57.17 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 59 | 39 | 20 |
Unadjusted period prevalence (%) | 0.01 | 0.01 | 0.01 |
Median age at first event (years) | 51.35 | 48.06 | 57.77 |
-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
- 58
- Matched controls
- 578
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint E4_HYPERALISEQ and mortality.
Females
No dataMales
No dataMortality risk
Mortality risk for people of age
years, who have E4_HYPERALISEQ.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: E4_HYPERALISEQ – Sequelae of hyperalimentation
GWS hits: -