Trait: diastolic blood pressure

Experimental Factor Ontology (EFO) Information
Identifier EFO_0006336
Description The blood pressure after the contraction of the heart while the chambers of the heart refill with blood.
Trait category
Other measurement
Synonyms 2 synonyms
  • DIABP
  • diastolic pressure
Mapped terms 3 mapped terms
  • MedDRA:10012751
  • NCIt:C25299
  • SNOMEDCT:271650006

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000302
(GRS962_DBP)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Diastolic blood pressure diastolic blood pressure 962
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000302/ScoringFiles/PGS000302.txt.gz
PGS000912
(ukb_dbp_prs)
PGP000240 |
Vaura F et al. Hypertension (2021)
Diastolic blood pressure diastolic blood pressure 1,098,015
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000912/ScoringFiles/PGS000912.txt.gz
PGS001133
(GBE_INI4079)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Diastolic BP (AR) diastolic blood pressure 14,103
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001133/ScoringFiles/PGS001133.txt.gz
PGS001900
(portability-PLR_diastolic_BP)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diastolic blood pressure, automated reading diastolic blood pressure 66,335
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001900/ScoringFiles/PGS001900.txt.gz
PGS002114
(portability-ldpred2_diastolic_BP)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diastolic blood pressure, automated reading diastolic blood pressure 933,950
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002114/ScoringFiles/PGS002114.txt.gz
PGS002258
(GRS901_DBP)
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Diastolic blood pressure diastolic blood pressure 885
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002258/ScoringFiles/PGS002258.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000772 PGS000302
(GRS962_DBP)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Diastolic blood pressure (mmHg) : 0.0448 Sex, age, age^2, BMI
PPM000802 PGS000302
(GRS962_DBP)
PSS000371|
European Ancestry|
288 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Diastolic blood pressure (mmHg) : 0.0088 Sex, age, age^2, BMI
PPM002972 PGS000912
(ukb_dbp_prs)
PSS001446|
European Ancestry|
218,754 individuals
PGP000240 |
Vaura F et al. Hypertension (2021)
Reported Trait: Incident hypertension HR: 1.41 [1.4, 1.42] Hazard Ratio (HR, top 2.5% vs middle 60%): 2.26 [2.17, 2.36] Sex, collection year, genotyping batch, PCs(1-10)
PPM002974 PGS000912
(ukb_dbp_prs)
PSS001446|
European Ancestry|
218,754 individuals
PGP000240 |
Vaura F et al. Hypertension (2021)
Reported Trait: Late onset incident hypertension (≥55 years) HR: 1.26 [1.25, 1.28] Hazard Ratio (HR, top 2.5% vs middle 60%): 1.6 [1.48, 1.73] Sex, collection year, genotyping batch, PCs(1-10)
PPM002976 PGS000912
(ukb_dbp_prs)
PSS001450|
European Ancestry|
9,906 individuals
PGP000240 |
Vaura F et al. Hypertension (2021)
Reported Trait: Incident hypertension C-index: 0.803 Age, sex, systolic blood pressure, diastolic blood pressure, body mass index, diabetes, current smoking
PPM002973 PGS000912
(ukb_dbp_prs)
PSS001446|
European Ancestry|
218,754 individuals
PGP000240 |
Vaura F et al. Hypertension (2021)
Reported Trait: Early onset incident hypertension (< 55 years) HR: 1.58 [1.56, 1.6] Hazard Ratio (HR, top 2.5% vs middle 60%): 2.78 [2.64, 2.93] Sex, collection year, genotyping batch, PCs(1-10)
PPM008393 PGS001133
(GBE_INI4079)
PSS007261|
African Ancestry|
6,409 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.00961 [0.00489, 0.01433]
Incremental R2 (full-covars): 0.004
PGS R2 (no covariates): 0.00541 [0.00186, 0.00897]
age, sex, UKB array type, Genotype PCs
PPM008394 PGS001133
(GBE_INI4079)
PSS007262|
East Asian Ancestry|
1,634 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.10887 [0.081, 0.13673]
Incremental R2 (full-covars): 0.03804
PGS R2 (no covariates): 0.04085 [0.02248, 0.05923]
age, sex, UKB array type, Genotype PCs
PPM008395 PGS001133
(GBE_INI4079)
PSS007263|
European Ancestry|
23,727 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.08484 [0.07822, 0.09146]
Incremental R2 (full-covars): 0.04531
PGS R2 (no covariates): 0.04978 [0.04451, 0.05504]
age, sex, UKB array type, Genotype PCs
PPM008396 PGS001133
(GBE_INI4079)
PSS007264|
South Asian Ancestry|
7,640 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.03516 [0.02715, 0.04317]
Incremental R2 (full-covars): 0.02383
PGS R2 (no covariates): 0.02615 [0.01918, 0.03312]
age, sex, UKB array type, Genotype PCs
PPM008397 PGS001133
(GBE_INI4079)
PSS007265|
European Ancestry|
63,825 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.07507 [0.07124, 0.07889]
Incremental R2 (full-covars): 0.04511
PGS R2 (no covariates): 0.04581 [0.04273, 0.04889]
age, sex, UKB array type, Genotype PCs
PPM010083 PGS001900
(portability-PLR_diastolic_BP)
PSS009397|
European Ancestry|
18,718 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2491 [0.2356, 0.2625] sex, age, birth date, deprivation index, 16 PCs
PPM010084 PGS001900
(portability-PLR_diastolic_BP)
PSS009171|
European Ancestry|
3,930 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2605 [0.231, 0.2895] sex, age, birth date, deprivation index, 16 PCs
PPM010085 PGS001900
(portability-PLR_diastolic_BP)
PSS008725|
European Ancestry|
6,338 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2168 [0.1932, 0.2402] sex, age, birth date, deprivation index, 16 PCs
PPM010086 PGS001900
(portability-PLR_diastolic_BP)
PSS008499|
Greater Middle Eastern Ancestry|
1,151 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1801 [0.1231, 0.2359] sex, age, birth date, deprivation index, 16 PCs
PPM010087 PGS001900
(portability-PLR_diastolic_BP)
PSS008277|
South Asian Ancestry|
6,098 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1863 [0.162, 0.2105] sex, age, birth date, deprivation index, 16 PCs
PPM010088 PGS001900
(portability-PLR_diastolic_BP)
PSS008054|
East Asian Ancestry|
1,719 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2437 [0.1985, 0.288] sex, age, birth date, deprivation index, 16 PCs
PPM010090 PGS001900
(portability-PLR_diastolic_BP)
PSS008945|
African Ancestry|
3,850 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.0834 [0.0519, 0.1148] sex, age, birth date, deprivation index, 16 PCs
PPM010089 PGS001900
(portability-PLR_diastolic_BP)
PSS007841|
African Ancestry|
2,438 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1048 [0.0652, 0.144] sex, age, birth date, deprivation index, 16 PCs
PPM011767 PGS002114
(portability-ldpred2_diastolic_BP)
PSS009397|
European Ancestry|
18,718 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2531 [0.2397, 0.2665] sex, age, birth date, deprivation index, 16 PCs
PPM011768 PGS002114
(portability-ldpred2_diastolic_BP)
PSS009171|
European Ancestry|
3,930 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2679 [0.2385, 0.2967] sex, age, birth date, deprivation index, 16 PCs
PPM011769 PGS002114
(portability-ldpred2_diastolic_BP)
PSS008725|
European Ancestry|
6,338 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2221 [0.1986, 0.2455] sex, age, birth date, deprivation index, 16 PCs
PPM011770 PGS002114
(portability-ldpred2_diastolic_BP)
PSS008499|
Greater Middle Eastern Ancestry|
1,151 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1869 [0.1301, 0.2426] sex, age, birth date, deprivation index, 16 PCs
PPM011771 PGS002114
(portability-ldpred2_diastolic_BP)
PSS008277|
South Asian Ancestry|
6,098 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1939 [0.1695, 0.2179] sex, age, birth date, deprivation index, 16 PCs
PPM011772 PGS002114
(portability-ldpred2_diastolic_BP)
PSS008054|
East Asian Ancestry|
1,719 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.2244 [0.1788, 0.2691] sex, age, birth date, deprivation index, 16 PCs
PPM011773 PGS002114
(portability-ldpred2_diastolic_BP)
PSS007841|
African Ancestry|
2,438 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.1014 [0.0618, 0.1407] sex, age, birth date, deprivation index, 16 PCs
PPM011774 PGS002114
(portability-ldpred2_diastolic_BP)
PSS008945|
African Ancestry|
3,850 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diastolic blood pressure, automated reading Partial Correlation (partial-r): 0.0818 [0.0502, 0.1131] sex, age, birth date, deprivation index, 16 PCs
PPM012847 PGS002258
(GRS901_DBP)
PSS009574|
European Ancestry|
14,004 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Systolic blood pressure β: 2.06 [1.79, 2.32] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012848 PGS002258
(GRS901_DBP)
PSS009574|
European Ancestry|
14,004 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Diastolic blood pressure β: 1.64 [1.46, 1.81] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012849 PGS002258
(GRS901_DBP)
PSS009574|
European Ancestry|
14,004 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Pulse pressure β: 0.42 [0.25, 0.58] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012850 PGS002258
(GRS901_DBP)
PSS009574|
European Ancestry|
14,004 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Hypertension OR: 1.27 [1.23, 1.32] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012851 PGS002258
(GRS901_DBP)
PSS009575|
African Ancestry|
6,970 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Systolic blood pressure β: 2.38 [1.85, 2.9] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012852 PGS002258
(GRS901_DBP)
PSS009575|
African Ancestry|
6,970 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Diastolic blood pressure β: 1.39 [1.09, 1.7] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012853 PGS002258
(GRS901_DBP)
PSS009575|
African Ancestry|
6,970 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Pulse pressure β: 0.99 [0.65, 1.32] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012854 PGS002258
(GRS901_DBP)
PSS009575|
African Ancestry|
6,970 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Hypertension OR: 1.26 [1.2, 1.33] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012855 PGS002258
(GRS901_DBP)
PSS009576|
South Asian Ancestry|
8,827 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Systolic blood pressure β: 2.58 [2.13, 3.03] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012856 PGS002258
(GRS901_DBP)
PSS009576|
South Asian Ancestry|
8,827 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Diastolic blood pressure β: 1.49 [1.25, 1.74] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012857 PGS002258
(GRS901_DBP)
PSS009576|
South Asian Ancestry|
8,827 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Pulse pressure β: 1.09 [0.8, 1.39] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP
PPM012858 PGS002258
(GRS901_DBP)
PSS009576|
South Asian Ancestry|
8,827 individuals
PGP000283 |
Evangelou E et al. Nat Genet (2018)
Reported Trait: Hypertension OR: 1.3 [1.24, 1.36] *Note performance is based on the average between GRS901_SBP and GRS_901_DBP

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS009171 3,930 individuals European Poland (NE Europe) UKB
PSS008277 6,098 individuals South Asian India (South Asia) UKB
PSS007261 6,409 individuals African unspecified UKB
PSS007262 1,634 individuals East Asian UKB
PSS007263 23,727 individuals European non-white British ancestry UKB
PSS007264 7,640 individuals South Asian UKB
PSS007265 63,825 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008945 3,850 individuals African unspecified Nigeria (West Africa) UKB
PSS000371 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 288 individuals,
69.2 % Male samples
Mean = 15.83 years
Sd = 0.6 years
European TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS008054 1,719 individuals East Asian China (East Asia) UKB
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,354 individuals,
47.56 % Male samples
Mean = 16.22 years
Sd = 0.66 years
European TRAILS
PSS008725 6,338 individuals European Italy (South Europe) UKB
PSS007841 2,438 individuals African American or Afro-Caribbean Carribean UKB
PSS009574 14,004 individuals European Airwave
PSS009575 6,970 individuals African unspecified UKB
PSS008499 1,151 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009576 8,827 individuals South Asian UKB
PSS009397 18,718 individuals European UK (+ Ireland) UKB
PSS001446 Cases were individuals with incident hypertension. Hypertension was defined as persistently high systemic arterial blood pressure based on multiple blood pressure readings (consistent systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg) or medical expenses reimbursement history. Diagnoses were based on the International Classification of Diseases (ICD) 8 codes (I1[0-3]/I15/I674) , ICD-9 codes (I1[0-3]/I15/I674), and ICD-10 codes (I1[0-3]/I15/I674). Of the 55,917 cases, 27,361 had early-onset incident hypertension, whilst 28,556 had late-onset incident hypertension. Early-onset and late-onset hypertension were defined as age of onset <55 and ≥55 years, respectively.
[
  • 55,917 cases
  • , 162,837 controls
]
European
(Finnish)
FinnGen
PSS001450 Cases were individuals with incident hypertension. Hypertension was defined as persistently high systemic arterial blood pressure based on multiple blood pressure readings (consistent systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg) or medical expenses reimbursement history. Diagnoses were based on the International Classification of Diseases (ICD) 8 codes (I1[0-3]/I15/I674) , ICD-9 codes (I1[0-3]/I15/I674), and ICD-10 codes (I1[0-3]/I15/I674).
[
  • 725 cases
  • , 9,181 controls
]
European
(Finnish)
FINRISK