Skip to main content

Table 1 Mean standardized PRS313 by country in controls of the pooled BCAC dataset

From: Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction

Country

Number of controls

Mean PRS313a

Mean PRS adjusted for array and 6 PCsb

PRS adjusted for 6 PCs, fitted valuesc

Empirical Bayes Posterior Meand

Australia

4049

 − 0.005

0.01

 − 0.005

 − 0.003

Belarus

342

0.07

0.071

0.016

0.064

Belgium

1823

 − 0.006

 − 0.007

0.010

 − 0.002

Canada

2277

0.018

0.019

0.013

0.02

Denmark

5241

 − 0.013

0.012

 − 0.031

 − 0.012

Finland

2083

0.031

0.008

0.010

0.032

France

1372

0.0003

 − 0.008

0.008

0.004

Germany

8563

0.011

0.004

0.013

0.011

Greece

607

0.232

0.043

0.208

0.199

Ireland

719

 − 0.118

 − 0.015

 − 0.112

 − 0.092

Israel

724

0.047

0.001

0.062

0.047

Italy

1554

0.115

 − 0.007

0.131

0.11

Netherlands

4407

0.021

0.043

 − 0.019

0.022

Norway

217

0.077

0.094

 − 0.027

0.066

Poland

2554

0.013

0.025

0.010

0.015

Republic of North Macedonia

92

0.25

0.134

0.140

0.129

Russia

120

0.18

0.166

0.044

0.11

Spain

2098

0.057

 − 0.006

0.057

0.056

Sweden

16,680

 − 0.015

0.005

 − 0.017

 − 0.014

UK

16,854

 − 0.01

0.019

 − 0.023

 − 0.01

USA

21,696

0.029

0.033

0.013

0.029

  1. This table presents the mean PRS by country when adjusted for array type, 6 PCs and array type, using fitted values adjusted for 6 PCs and array type, and when using an empirical Bayes approach adjusted for array type
  2. aMean PRS313 after adjustment for array type
  3. bMean PRS after adjustment for 6 PCs. Since PC adjustment explains much of the variation, these values are typically close to 0
  4. cMean PRS313 by country based on averaging the predicted PRS of each individual; estimated using linear predictor of PRS versus 6 PCs and the command predict () in R
  5. dCountry-specific estimates, means β, using the empirical Bayes approach, adjusted for array type