Evidence map›Paper›PMID 32764582›Full record

ArticleScientific reports2020

Sibling validation of polygenic risk scores and complex trait prediction.

Louis Lello, Timothy G Raben, Stephen D H Hsu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Polygenic embryo screening: quo vadis?Journal of assisted reproduction and genetics · 2024
    Review
  7. Predicting the direction of phenotypic difference.bioRxiv : the preprint server for biology · 2024
    Article
  8. Review
  9. Cumulative Genetic Score andNeurology. Genetics · 2023
    Article
  10. Article
  11. Article
  12. Scientific refutation of ESHG statement on embryo selection.European journal of human genetics : EJHG · 2023
    Article
  13. Human height: a model common complex trait.Annals of human biology · 2023
    Review
  14. Article
  15. Polygenic risk, population structure and ongoing difficulties with race in human genetics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  16. CyberGenomics: Application of Behavioral Genetics in Cybersecurity.Behavioral sciences (Basel, Switzerland) · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Louis LelloDepartment of Physics and Astronomy, Michigan State University, East Lansing, USA. lellolou@msu.edu.
Timothy G RabenDepartment of Physics and Astronomy, Michigan State University, East Lansing, USA.
Stephen D H HsuDepartment of Physics and Astronomy, Michigan State University, East Lansing, USA.
Michigan State University · US

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

We test 26 polygenic predictors using tens of thousands of genetic siblings from the UK Biobank (UKB), for whom we have SNP genotypes, health status, and phenotype information in late adulthood. Siblings have typically experienced similar environments during childhood, and exhibit negligible population stratification relative to each other. Therefore, the ability to predict differences in disease risk or complex trait values between siblings is a strong test of genomic prediction in humans. We compare validation results obtained using non-sibling subjects to those obtained among siblings and find that typically most of the predictive power persists in between-sibling designs. In the case of disease risk we test the extent to which higher polygenic risk score (PRS) identifies the affected sibling, and also compute Relative Risk Reduction as a function of risk score threshold. For quantitative traits we examine between-sibling differences in trait values as a function of predicted differences, and compare to performance in non-sibling pairs. Example results: Given 1 sibling with normal-range PRS score (< 84 percentile, < + 1 SD) and 1 sibling with high PRS score (top few percentiles, i.e. > + 2 SD), the predictors identify the affected sibling about 70-90% of the time across a variety of disease conditions, including Breast Cancer, Heart Attack, Diabetes, etc. 55-65% of the time the higher PRS sibling is the case. For quantitative traits such as height, the predictor correctly identifies the taller sibling roughly 80 percent of the time when the (male) height difference is 2 inches or more.

Indexed as

Computational BiologyPhenotypeSiblingsBiological Specimen BanksDiseaseFemaleGenetic Predisposition to DiseaseHumansMalePolymorphism, Single Nucleotide

Identifiers

PMID32764582
PMCPMC7411027
OpenAlexW3047535322

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.