Evidence map›Paper›PMID 35410379›Full record

SynthesisNature genetics2022

Expanded COVID-19 phenotype definitions reveal distinct patterns of genetic association and protective effects.

Genevieve H L Roberts, Raghavendran Partha, Brooke Rhead, Spencer C Knight, Danny S Park, Marie V Coignet, Miao Zhang, Nathan Berkowitz, David A Turrisini, Michael Gaddis and 11 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Association Between Genetic Variants inDiagnostics (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. rs71327024 Associated with COVID-19 Hospitalization ReducesInternational journal of molecular sciences · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Genevieve H L Roberts *AncestryDNA, Lehi, UT, USA.ORCID http://orcid.org/0000-0003-4007-0700
Raghavendran Partha *AncestryDNA, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7900-4375
Brooke Rhead *AncestryDNA, San Francisco, CA, USA.
Spencer C KnightAncestryDNA, San Francisco, CA, USA.
Danny S ParkAncestryDNA, San Francisco, CA, USA.
Marie V CoignetAncestryDNA, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6674-4796
Miao ZhangAncestryDNA, San Francisco, CA, USA.
Nathan BerkowitzAncestryDNA, San Francisco, CA, USA.
David A TurrisiniAncestryDNA, San Francisco, CA, USA.
Michael GaddisAncestryDNA, San Francisco, CA, USA.
Shannon R McCurdyAncestryDNA, San Francisco, CA, USA.
Milos PavlovicAncestryDNA, Lehi, UT, USA.
Luong RuizAncestryDNA, San Francisco, CA, USA.
Chodon SassAncestryDNA, Lehi, UT, USA.
AncestryDNA Science Team
Asher K Haug BaltzellAncestryDNA, Lehi, UT, USA.
Harendra GuturuAncestryDNA, San Francisco, CA, USA.
Ahna R GirshickAncestryDNA, San Francisco, CA, USA.
Catherine A BallAncestryDNA, San Francisco, CA, USA.
Eurie L HongAncestryDNA, San Francisco, CA, USA.
Kristin A RandAncestryDNA, San Francisco, CA, USA. kristinmuench@gmail.com.ORCID http://orcid.org/0000-0003-0153-4146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple COVID-19 genome-wide association studies (GWASs) have identified reproducible genetic associations indicating that there is a genetic component to susceptibility and severity risk. To complement these studies, we collected deep coronavirus disease 2019 (COVID-19) phenotype data from a survey of 736,723 AncestryDNA research participants. With these data, we defined eight phenotypes related to COVID-19 outcomes: four phenotypes that align with previously studied COVID-19 definitions and four 'expanded' phenotypes that focus on susceptibility given exposure, mild clinical manifestations and an aggregate score of symptom severity. We performed a replication analysis of 12 previously reported COVID-19 genetic associations with all eight phenotypes in a trans-ancestry meta-analysis of AncestryDNA research participants. In this analysis, we show distinct patterns of association at the 12 loci with the eight outcomes that we assessed. We also performed a genome-wide discovery analysis of all eight phenotypes, which did not yield new genome-wide significant loci but did suggest that three of the four 'expanded' COVID-19 phenotypes have enhanced power to capture protective genetic associations relative to the previously studied phenotypes. Thus, we conclude that continued large-scale ascertainment of deep COVID-19 phenotype data would likely represent a boon for COVID-19 therapeutic target identification.

Indexed as

COVID-19Genome-Wide Association StudyGenetic Predisposition to DiseaseHumansPhenotypePolymorphism, Single Nucleotide

Identifiers

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.