Testing mode was used, restricting analyses to chromosome 22.

Sample: example_plink1

Family ID: 1_EUR

Individual ID: 1_EUR

Target Descriptives

  • The target sample contains 12 individuals.
  • The target genotype data was provided in plink1 format. Of the 17679 variants in the reference, 17679 were available in the target (100%).

Ancestry

  • The target individual matches the EUR reference population with a probability >50%.
Ancestry inference: Population probabilities.
Ancestry inference: Population probabilities.

Note. The dashed line indicates the probability threshold used for ancestry classification.

Polygenic Scores

  • 2 GWAS summary statistics were provided for polygenic scoring.
  • 2 PGS methods were applied, including pT+clump, DBSLMM.
  • 3 external score files were provided for polygenic scoring.

GWAS summary statistics

Score files

Note. The Pass column indicates whether a sufficient number of variants within the score file were present in the reference data.

Target Polygenic Profile

Method: DBSLMM

PGS Descriptives
Distribution in General
Population
Distribution in People
Like You
Outcome PGS R-squared PGS AUC Prevelance Mean SD PGS Z-score Prevalence Mean SD
Body Mass Index 0.002 NA NA 0 1 0.673 NA 0.034 0.999
Coronary Artery Disease 0.001 0.5 0.03 NA NA -1.602 0.03 NA NA

Note. PGS R-squared/AUC is estimated via pseudovalidation, and may be inaccurate. To specify alternative parameters, check out our interactive tool for converting polygenic scores to the absolute scale.

GWAS: Body Mass Index

  • Your PGS Z-score for Body Mass IndexBody Mass Index is 0.673 which is higher than 75% of other EUR individuals.

  • Assuming the PGS explains 0.2% of the variance in Body Mass Index, and the mean and SD of Body Mass Index in the general population is 0 and 1 respectively, on average people with your PGS have a Body Mass Index of 0.03 (95% CI = -1.87 - 2.05).

  • Note. These predictions are estimated using a range of assumptions and should be interpreted with caution. This report is merely a demonstration of how polygenic scores can be interpreted.

GWAS: Coronary Artery Disease

  • Your PGS Z-score for Coronary Artery DiseaseCoronary Artery Disease is -1.602 which is higher than 5.5% of other EUR individuals.

  • Assuming the PGS has an AUC of 0.5, and the prevelance of Coronary Artery Disease in the general population is 0.03, on average 3% of people with your PGS have Coronary Artery Disease.

  • Note. These predictions are estimated using a range of assumptions and should be interpreted with caution. This report is merely a demonstration of how polygenic scores can be interpreted.

Method: pT+clump

PGS Descriptives
Distribution in General
Population
Distribution in People
Like You
Outcome PGS R-squared PGS AUC Prevelance Mean SD PGS Z-score Prevalence Mean SD
Body Mass Index 0.002 NA NA 0 1 1.847 NA 0.092 0.999
Coronary Artery Disease 0.001 0.5 0.03 NA NA -1.251 0.03 NA NA

Note. PGS R-squared/AUC is estimated via pseudovalidation, and may be inaccurate. To specify alternative parameters, check out our interactive tool for converting polygenic scores to the absolute scale.

GWAS: Body Mass Index

  • Your PGS Z-score for Body Mass IndexBody Mass Index is 1.847 which is higher than 96.8% of other EUR individuals.

  • Assuming the PGS explains 0.2% of the variance in Body Mass Index, and the mean and SD of Body Mass Index in the general population is 0 and 1 respectively, on average people with your PGS have a Body Mass Index of 0.09 (95% CI = -1.87 - 2.05).

  • Note. These predictions are estimated using a range of assumptions and should be interpreted with caution. This report is merely a demonstration of how polygenic scores can be interpreted.

GWAS: Coronary Artery Disease

  • Your PGS Z-score for Coronary Artery DiseaseCoronary Artery Disease is -1.251 which is higher than 10.5% of other EUR individuals.

  • Assuming the PGS has an AUC of 0.5, and the prevelance of Coronary Artery Disease in the general population is 0.03, on average 3% of people with your PGS have Coronary Artery Disease.

  • Note. These predictions are estimated using a range of assumptions and should be interpreted with caution. This report is merely a demonstration of how polygenic scores can be interpreted.

Method: External

PGS Descriptives
Distribution in General
Population
Distribution in People
Like You
Outcome PGS R-squared PGS AUC Prevelance Mean SD PGS Z-score Prevalence Mean SD
Height Yengo EUR NA NA NA NA NA 0.228 NA NA NA
BMI NA NA NA NA NA 0.958 NA NA NA

Note. PGS R-squared/AUC cannot be estimated when using externally derived score files. To specify parameters, check out our interactive tool for converting polygenic scores to the absolute scale.

GWAS: Height Yengo EUR

  • Your PGS Z-score for Height Yengo EUR is 0.228 which is higher than 59% of other EUR individuals.

GWAS: BMI

  • Your PGS Z-score for BMI is 0.958 which is higher than 83.1% of other EUR individuals.

This report was created using GenoPred (v2.2.2-67-g53c5c77).