Predicted Trait | |
Reported Trait | Multiple sclerosis |
Mapped Trait(s) | multiple sclerosis (MONDO_0005301) |
Additional Trait Information | neurological |
Score Construction | |
PGS Name | portability-ldpred2_335 |
Development Method | |
Name | LDpred2 (bigsnpr) |
Parameters | LDpred2-auto using HapMap3 variants |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 129,077 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000263 |
Citation (link to publication) | Privé F et al. Am J Hum Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 391,124 individuals (100%) |
PGS Evaluation | European: 42.9% African: 28.6% Greater Middle Eastern: 14.3% South Asian: 14.3% 7 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | 391,124 individuals | European | UKB | — | — | — | UK (+ Ireland) | — |
PGS Performance Metric ID (PPM) |
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 |
---|---|---|---|---|---|---|---|---|
PPM011172 | PSS009075| European Ancestry| 4,011 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0083 [-0.0228, 0.0393] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011173 | PSS008629| European Ancestry| 6,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0447 [0.0203, 0.069] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011174 | PSS008403| Greater Middle Eastern Ancestry| 1,164 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0296 [-0.0284, 0.0874] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011175 | PSS008183| South Asian Ancestry| 6,094 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0149 [-0.0103, 0.04] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011176 | PSS007749| African Ancestry| 2,390 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.006 [-0.0343, 0.0463] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011177 | PSS008853| African Ancestry| 3,790 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): -0.0243 [-0.0561, 0.0077] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011171 | PSS009301| European Ancestry| 19,299 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Multiple sclerosis | — | — | Partial Correlation (partial-r): 0.0396 [0.0255, 0.0536] | sex, age, birth date, deprivation index, 16 PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS007749 | — | — | 2,390 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS008403 | — | — | 1,164 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009075 | — | — | 4,011 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS008629 | — | — | 6,463 individuals | — | European | Italy (South Europe) | UKB | — |
PSS008853 | — | — | 3,790 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS008183 | — | — | 6,094 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS009301 | — | — | 19,299 individuals | — | European | UK (+ Ireland) | UKB | — |