Evidence map›Paper›PMID 33110269›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

Individuals with common diseases but with a low polygenic risk score could be prioritized for rare variant screening.

Tianyuan Lu, Sirui Zhou, Haoyu Wu, Vincenzo Forgetta, Celia M T Greenwood, J Brent Richards

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 90 citations in OpenAlex.

  1. Review
  2. Stratification by a polygenic risk score of common variation aids in Alzheimer's disease rare variant discovery.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Observational
  3. Article
  4. Article
  5. Review
  6. Genetic Burden andJournal of personalized medicine · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Observational
  12. Review
  13. Review
  14. Article
  15. Polygenic embryo screening: quo vadis?Journal of assisted reproduction and genetics · 2024
    Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Genetics in medicine open · 2024
    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

6 authors at 2 institutions in 2 countries.

Tianyuan LuCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Sirui ZhouCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Haoyu WuCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Vincenzo ForgettaCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Celia M T GreenwoodCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
J Brent RichardsCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada. brent.richards@mcgill.ca.ORCID http://orcid.org/0000-0002-3746-9086
Jewish General Hospital · CAKing's College London · GB

Funding

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

Abstract

purposeIdentifying rare genetic causes of common diseases can improve diagnostic and treatment strategies, but incurs high costs. We tested whether individuals with common disease and low polygenic risk score (PRS) for that disease generated from less expensive genome-wide genotyping data are more likely to carry rare pathogenic variants.

methodsWe identified patients with one of five common complex diseases among 44,550 individuals who underwent exome sequencing in the UK Biobank. We derived PRS for these five diseases, and identified pathogenic rare variant heterozygotes. We tested whether individuals with disease and low PRS were more likely to carry rare pathogenic variants.

resultsWhile rare pathogenic variants conferred, at most, 5.18-fold (95% confidence interval [CI]: 2.32-10.13) increased odds of disease, a standard deviation increase in PRS, at most, increased the odds of disease by 5.25-fold (95% CI: 5.06-5.45). Among diseased patients, a standard deviation decrease in the PRS was associated with, at most, 2.82-fold (95% CI: 1.14-7.46) increased odds of identifying rare variant heterozygotes.

conclusionRare pathogenic variants were more prevalent among affected patients with a low PRS. Therefore, prioritizing individuals for sequencing who have disease but low PRS may increase the yield of sequencing studies to identify rare variant heterozygotes.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideRisk Factorsexome sequencingpatient prioritizationpolygenic risk scoresrare variantsrisk stratification

Identifiers

PMID33110269
OpenAlexW3094745562

What OpenQuestion holds

Textmetadata
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.