Endpoint definition ↥ FinnGen phenotype data 321302 individuals Apply sex-specific rule None 321302 Check conditions None 321302 Filter registries Hospital Discharge: ICD-10 I42.1, I42.2 Hospital discharge: ICD-9 $!$ Hospital discharge: ICD-8 $!$ Cause of death: ICD-10 I42.1, I42.2 Cause of death: ICD-9 $!$ Cause of death: ICD-8 $!$ 839 Check pre-conditions, main-only, mode, ICD version Look only at ICD versions H.D: 10, 8, 9 ; C.O.D: 10, 8, 9 839 Check minimum number of events None 839 Include endpoints None 839 I9_HYPERTROCARDMYOP Extra metadata First used in FinnGen datafreeze DF3
FinnGen phenotype data 321302 individuals Apply sex-specific rule None 321302 Check conditions None 321302 Filter registries Hospital Discharge: ICD-10 I42.1, I42.2 Hospital discharge: ICD-9 $!$ Hospital discharge: ICD-8 $!$ Cause of death: ICD-10 I42.1, I42.2 Cause of death: ICD-9 $!$ Cause of death: ICD-8 $!$ 839 Check pre-conditions, main-only, mode, ICD version Look only at ICD versions H.D: 10, 8, 9 ; C.O.D: 10, 8, 9 839 Check minimum number of events None 839 Include endpoints None 839 I9_HYPERTROCARDMYOP Extra metadata First used in FinnGen datafreeze DF3
Similar endpoints ↥ List of similar endpoints to Hypertrophic cardiomyopathy based on the number of shared cases. Broader endpoints: Cardiomyopathy Other heart diseases Diseases of the circulatory system Cardiovascular diseases Co-morbidities of interest (NEURO) Narrower endpoints: Heart failure and hypertrophic cardiomyopathy Show all endpoint correlations
List of similar endpoints to Hypertrophic cardiomyopathy based on the number of shared cases. Broader endpoints: Cardiomyopathy Other heart diseases Diseases of the circulatory system Cardiovascular diseases Co-morbidities of interest (NEURO) Narrower endpoints: Heart failure and hypertrophic cardiomyopathy Show all endpoint correlations
Summary Statistics ↥ Key figures All Female Male ? X Number of individuals Using example data: ID phenocode age FG1 EXAMPLE_ENDPOINT 45 FG1 ENDPOINT_XYZ 46 FG1 DEATH 47 FG2 EXAMPLE_ENDPOINT 30 FG2 EXAMPLE_ENDPOINT 30.1 FG3 ENDPOINT_XYZ 50 In this example the number of individuals is 2, since only 2 unique individuals (FG1 and FG2) have EXAMPLE_ENDPOINT events. Number of individuals 808 324 484 ? X Unadjusted prevalence Using example data: ID phenocode age FG1 EXAMPLE_ENDPOINT 45 FG1 ENDPOINT_XYZ 46 FG1 DEATH 47 FG2 EXAMPLE_ENDPOINT 30 FG2 EXAMPLE_ENDPOINT 30.1 FG3 ENDPOINT_XYZ 50 In this example the unadjusted prevalence is 66 %. The unadjusted prevalence is the number of individuals having an endpoint divided by the total number of individuals. Here: 2 unique individuals (FG1 and FG2) have EXAMPLE_ENDPOINT events 1 individual (FG3) has no EXAMPLE_ENDPOINT event So the unadjusted prevalence is 2 / 3 = 66 %. Unadjusted prevalence (%) 0.26 0.19 0.36 ? X Mean age at first event Using example data: ID phenocode age FG1 EXAMPLE_ENDPOINT 45 FG1 ENDPOINT_XYZ 46 FG1 DEATH 47 FG2 EXAMPLE_ENDPOINT 30 FG2 EXAMPLE_ENDPOINT 30.1 FG3 ENDPOINT_XYZ 50 In this example the mean age at first event is 37.5. The mean age at first event for EXAMPLE_ENDPOINT is computed by: selecting individuals having EXAMPLE_ENDPOINT: FG1 and FG2 for these individuals, taking the age of their first event of EXAMPLE_ENDPOINT: 45 for FG1 and 30 for FG2 computing the mean of these values So the mean age at first event is Mean(45, 30) = 37.5. Mean age at first event (years) 57.59 55.59 58.93 ? X Follow-up Amount of time to look for the endpoint since entering the study. This is either either 1, 5, 15 years or the full study time from 1998 to 2019. Absolute risk Estimates the probability of dying from the current endpoint. Check the Documentation page for Mortality: absolute risk to get more details. Hazard Ratio (HR) and 95% Confidence Interval (CI) Measures how much the risk of dying increases (HR > 1) or decreases (HR < 1). Number of individuals (N) Number of individuals having the current endpoint and died during the follow-up time. Mortality Follow-up Absolute risk HR [95% CI] p N 1998–2019 0.04 2.72 [1.41, 5.27] 3.0e-3 149 15 years 0.01 1.37 [0.76, 2.46] 2.9e-1 53 5 years 0.01 4.48 [2.82, 7.11] 1.9e-10 46 1 year - - - - Age distribution of first events Year distribution of first events Cumulative Incidence
Key figures All Female Male ? X Number of individuals Using example data: ID phenocode age FG1 EXAMPLE_ENDPOINT 45 FG1 ENDPOINT_XYZ 46 FG1 DEATH 47 FG2 EXAMPLE_ENDPOINT 30 FG2 EXAMPLE_ENDPOINT 30.1 FG3 ENDPOINT_XYZ 50 In this example the number of individuals is 2, since only 2 unique individuals (FG1 and FG2) have EXAMPLE_ENDPOINT events. Number of individuals 808 324 484 ? X Unadjusted prevalence Using example data: ID phenocode age FG1 EXAMPLE_ENDPOINT 45 FG1 ENDPOINT_XYZ 46 FG1 DEATH 47 FG2 EXAMPLE_ENDPOINT 30 FG2 EXAMPLE_ENDPOINT 30.1 FG3 ENDPOINT_XYZ 50 In this example the unadjusted prevalence is 66 %. The unadjusted prevalence is the number of individuals having an endpoint divided by the total number of individuals. Here: 2 unique individuals (FG1 and FG2) have EXAMPLE_ENDPOINT events 1 individual (FG3) has no EXAMPLE_ENDPOINT event So the unadjusted prevalence is 2 / 3 = 66 %. Unadjusted prevalence (%) 0.26 0.19 0.36 ? X Mean age at first event Using example data: ID phenocode age FG1 EXAMPLE_ENDPOINT 45 FG1 ENDPOINT_XYZ 46 FG1 DEATH 47 FG2 EXAMPLE_ENDPOINT 30 FG2 EXAMPLE_ENDPOINT 30.1 FG3 ENDPOINT_XYZ 50 In this example the mean age at first event is 37.5. The mean age at first event for EXAMPLE_ENDPOINT is computed by: selecting individuals having EXAMPLE_ENDPOINT: FG1 and FG2 for these individuals, taking the age of their first event of EXAMPLE_ENDPOINT: 45 for FG1 and 30 for FG2 computing the mean of these values So the mean age at first event is Mean(45, 30) = 37.5. Mean age at first event (years) 57.59 55.59 58.93
? X Follow-up Amount of time to look for the endpoint since entering the study. This is either either 1, 5, 15 years or the full study time from 1998 to 2019. Absolute risk Estimates the probability of dying from the current endpoint. Check the Documentation page for Mortality: absolute risk to get more details. Hazard Ratio (HR) and 95% Confidence Interval (CI) Measures how much the risk of dying increases (HR > 1) or decreases (HR < 1). Number of individuals (N) Number of individuals having the current endpoint and died during the follow-up time. Mortality Follow-up Absolute risk HR [95% CI] p N 1998–2019 0.04 2.72 [1.41, 5.27] 3.0e-3 149 15 years 0.01 1.37 [0.76, 2.46] 2.9e-1 53 5 years 0.01 4.48 [2.82, 7.11] 1.9e-10 46 1 year - - - -
Follow-up Amount of time to look for the endpoint since entering the study. This is either either 1, 5, 15 years or the full study time from 1998 to 2019.
Absolute risk Estimates the probability of dying from the current endpoint. Check the Documentation page for Mortality: absolute risk to get more details.
Hazard Ratio (HR) and 95% Confidence Interval (CI) Measures how much the risk of dying increases (HR > 1) or decreases (HR < 1).
Number of individuals (N) Number of individuals having the current endpoint and died during the follow-up time.
Survival analyses between endpoints ↥ Plot before Hypertrophic cardiomyopathy after Hypertrophic cardiomyopathy Loading survival analyses plot Table Loading survival analyses table Download CSV
Plot before Hypertrophic cardiomyopathy after Hypertrophic cardiomyopathy Loading survival analyses plot