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Harnessing Whole Genome Polygenic Risk Scores to Stratify Individuals Based on Cardiometabolic Risk Factors and Biomarkers at Age 10 in the Lifecourse-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology | 2022

In this study, we investigated the capability of polygenic risk scores to stratify a cohort of young individuals into risk deciles based on 10 different cardiovascular traits and circulating biomarkers.

Pubmed ID: 35045726 RIS Download

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_17228
  • Agency: Wellcome Trust, United Kingdom
    Id: 217065/Z/19/Z
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_19009
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00011/1
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_15018
  • Agency: Medical Research Council, United Kingdom
    Id: G9815508
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00011/5
  • Agency: Medical Research Council, United Kingdom
    Id: MC_QA137853

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This is a list of tools and resources that we have found mentioned in this publication.


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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ALSPAC (tool)

RRID:SCR_007260

A long-term health research project which follows pregnant women and their offspring in a continuous health and developmental study. More than 14,000 mothers enrolled during pregnancy in 1991 and 1992, and the health and development of their children has been followed in great detail. The ALSPAC families have provided a vast amount of genetic and environmental information over the years which can be made available to researchers globally.

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