| Publication Information (EuropePMC) | |
| Title | Exclusive breastfeeding can attenuate body-mass-index increase among genetically susceptible children: A longitudinal study from the ALSPAC cohort. |
| PubMed ID | 32525877(Europe PMC) |
| doi | 10.1371/journal.pgen.1008790 |
| Publication Date | June 11, 2020 |
| Journal | PLoS Genet |
| Author(s) | Wu Y, Lye S, Dennis CL, Briollais L. |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS004900 (GRS_BMI_males) |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Body mass index (BMI) | body mass index | 94 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004900/ScoringFiles/PGS004900.txt.gz |
| PGS004901 (GRS_BMI_females) |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Body mass index (BMI) | body mass index | 94 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004901/ScoringFiles/PGS004901.txt.gz |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM021324 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 7 in males | — | — | Beta (per quartile increase): 0.61 [0.47, 0.75] | — | — |
| PPM021325 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 18 in males | — | — | Beta (per quartile increase): 1.98 [1.65, 2.32] | — | — |
| PPM021326 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 7 in females | — | — | Beta (per quartile increase): 0.39 [0.24, 0.55] | — | — |
| PPM021327 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 18 in females | — | — | Beta (per quartile increase): 0.75 [0.4, 1.09] | — | — |
| PPM021328 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in males | — | — | Beta (median vs. 1st quartile): -0.36 [-0.46, -0.27] | — | — |
| PPM021329 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in males | — | — | Beta (3rd quartile vs. 1st quartile): -0.65 [-0.8, -0.49] | — | — |
| PPM021330 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in females | — | — | Beta (median vs. 1st quartile): -0.31 [-0.41, -0.21] | — | — |
| PPM021331 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in females | — | — | Beta (3rd quartile vs. 1st quartile): -0.57 [-0.74, -0.39] | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011686 | Birth length (crown-heel) was measured by ALSPAC staff who visited newborns soon after birth (median 1 day, range 1-14 days), using a Harpenden Neonatometer (Holtain Ltd). Birth weight was extracted from medical records. From birth to five years, length and weight mea- surements were extracted from health visitor records, which form part of standard childcare in the UK. In this cohort we had up to four measurements taken on average at six weeks and at 10, 21, and 48 months of age. For a random 10% of the cohort, we also have length/height mea- surements from eight research clinic visits, held between the ages of four months and five years of age. From age seven years upwards, all children were invited to annual clinics. In addi- tion, parent-reported child height and weight were also available from the questionnaires. BMI was derived from height and weight measurements (mean 9 measurements per individual) and calculated as the weight (in kg) divided by the square of height (in cm). | Mean = 20.0 years | 2,576 individuals, 0.0 % Male samples |
— | European | — | ALSPAC | — |
| PSS011687 | Birth length (crown-heel) was measured by ALSPAC staff who visited newborns soon after birth (median 1 day, range 1-14 days), using a Harpenden Neonatometer (Holtain Ltd). Birth weight was extracted from medical records. From birth to five years, length and weight mea- surements were extracted from health visitor records, which form part of standard childcare in the UK. In this cohort we had up to four measurements taken on average at six weeks and at 10, 21, and 48 months of age. For a random 10% of the cohort, we also have length/height mea- surements from eight research clinic visits, held between the ages of four months and five years of age. From age seven years upwards, all children were invited to annual clinics. In addi- tion, parent-reported child height and weight were also available from the questionnaires. BMI was derived from height and weight measurements (mean 9 measurements per individual) and calculated as the weight (in kg) divided by the square of height (in cm). | Mean = 20.0 years | 2,690 individuals, 100.0 % Male samples |
— | European | — | ALSPAC | — |