Evidence map›Paper›PMID 32427991›Full record

ArticlePLoS genetics2020

Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model.

Dominic Holland, Oleksandr Frei, Rahul Desikan, Chun-Chieh Fan, Alexey A Shadrin, Olav B Smeland, V S Sundar, Paul Thompson, Ole A Andreassen, Anders M Dale

Abstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 17 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

161 citing papers in PubMed, 17 syntheses or guidelines pooled it.

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  3. Genome-wide meta-analysis with 1,590,596 individuals identifies 12 novel risk loci for systemic lupus erythematosus.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  18. Article
  19. Eating Disorders and Parkinson's Disease-2: Genetic Epidemiology and Shared Genomics.European eating disorders review : the journal of the Eating Disorders Association · 2026
    Article
  20. Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article

101 more citing papers are in PubMed but not listed here.

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

10 authors.

Dominic HollandCenter for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, California, United States of America.ORCID 0000-0002-0565-5298
Oleksandr FreiNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-6427-2625
Rahul DesikanDepartment of Radiology, University of California, San Francisco, San Francisco, California, United States of America.
Chun-Chieh FanCenter for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, California, United States of America.ORCID 0000-0001-9437-2128
Alexey A ShadrinNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-7467-250X
Olav B SmelandNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-3761-5215
V S SundarCenter for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, California, United States of America.ORCID 0000-0001-7933-828X
Paul ThompsonKeck School of Medicine, University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0002-4720-8867
Ole A AndreassenNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568
Anders M DaleCenter for Multimodal Imaging and Genetics, University of California at San Diego, La Jolla, California, United States of America.ORCID 0000-0002-6126-2966

Funding

ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
NIDA NIH HHS U24 DA041123
6 · The paper itself

Abstract

Estimating the polygenicity (proportion of causally associated single nucleotide polymorphisms (SNPs)) and discoverability (effect size variance) of causal SNPs for human traits is currently of considerable interest. SNP-heritability is proportional to the product of these quantities. We present a basic model, using detailed linkage disequilibrium structure from a reference panel of 11 million SNPs, to estimate these quantities from genome-wide association studies (GWAS) summary statistics. We apply the model to diverse phenotypes and validate the implementation with simulations. We find model polygenicities (as a fraction of the reference panel) ranging from ≃ 2 × 10-5 to ≃ 4 × 10-3, with discoverabilities similarly ranging over two orders of magnitude. A power analysis allows us to estimate the proportions of phenotypic variance explained additively by causal SNPs reaching genome-wide significance at current sample sizes, and map out sample sizes required to explain larger portions of additive SNP heritability. The model also allows for estimating residual inflation (or deflation from over-correcting of z-scores), and assessing compatibility of replication and discovery GWAS summary statistics.

Indexed as

Genetic Association StudiesGenetic HeterogeneityModels, GeneticPolymorphism, Single NucleotideComputer SimulationGenetics, PopulationGenome-Wide Association StudyHeterozygoteHumansInheritance PatternsLinkage DisequilibriumMultifactorial InheritanceNormal DistributionPhenotypeQuantitative Trait, Heritable

Identifiers

PMID32427991
PMCPMC7272101

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.