Extensive impact of low-frequency variants on the phenotypic landscape at population-scale

Abstract

Genome-wide association studies (GWAS) allow to dissect complex traits and map genetic variants, which often explain relatively little of the heritability. One potential reason is the preponderance of undetected low-frequency variants. To increase their allele frequency and assess their phenotypic impact in a population, we generated a diallel panel of 3,025 yeast hybrids, derived from pairwise crosses between natural isolates and examined a large number of traits. Parental versus hybrid regression analysis showed that while most phenotypic variance is explained by additivity, a third is governed by non-additive effects, with complete dominance having a key role. By performing GWAS on the diallel panel, we found that associated variants with low frequency in the initial population are overrepresented and explain a fraction of the phenotypic variance as well as an effect size similar to common variants. Overall, we highlighted the relevance of low frequency variants on the phenotypic variation.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figures 1 and 4.

The following previously published data sets were used

Article and author information

Author details

  1. Téo Fournier

    Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, Strasbourg, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4860-6728
  2. Omar Abou Saada

    Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, Strasbourg, France
    Competing interests
    The authors declare that no competing interests exist.
  3. Jing Hou

    Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, Strasbourg, France
    Competing interests
    The authors declare that no competing interests exist.
  4. Jackson Peter

    Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, Strasbourg, France
    Competing interests
    The authors declare that no competing interests exist.
  5. Elodie Caudal

    Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, Strasbourg, France
    Competing interests
    The authors declare that no competing interests exist.
  6. Joseph Schacherer

    Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, Strasbourg, France
    For correspondence
    schacherer@unistra.fr
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6606-6884

Funding

National Institutes of Health (R01 GM101091-01)

  • Joseph Schacherer

European Research Council (Consolidator grants (772505))

  • Joseph Schacherer

Fondation pour la Recherche Médicale (Graduate student grant)

  • Téo Fournier

Institut Universitaire de France

  • Joseph Schacherer

University of Strasbourg Institute for Advanced Study

  • Joseph Schacherer

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2019, Fournier et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,924
    views
  • 381
    downloads
  • 43
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Téo Fournier
  2. Omar Abou Saada
  3. Jing Hou
  4. Jackson Peter
  5. Elodie Caudal
  6. Joseph Schacherer
(2019)
Extensive impact of low-frequency variants on the phenotypic landscape at population-scale
eLife 8:e49258.
https://doi.org/10.7554/eLife.49258

Share this article

https://doi.org/10.7554/eLife.49258

Further reading

    1. Genetics and Genomics
    Luisa F Pallares
    Insight

    Rare genetic variants in yeast explain a large amount of phenotypic variation in a complex trait like growth.

    1. Genetics and Genomics
    2. Immunology and Inflammation
    Stephanie Guillet, Tomi Lazarov ... Frédéric Geissmann
    Research Article

    Systemic lupus erythematosus (SLE) is an autoimmune disease, the pathophysiology and genetic basis of which are incompletely understood. Using a forward genetic screen in multiplex families with SLE, we identified an association between SLE and compound heterozygous deleterious variants in the non-receptor tyrosine kinases (NRTKs) ACK1 and BRK. Experimental blockade of ACK1 or BRK increased circulating autoantibodies in vivo in mice and exacerbated glomerular IgG deposits in an SLE mouse model. Mechanistically, NRTKs regulate activation, migration, and proliferation of immune cells. We found that the patients’ ACK1 and BRK variants impair efferocytosis, the MERTK-mediated anti-inflammatory response to apoptotic cells, in human induced pluripotent stem cell (hiPSC)-derived macrophages, which may contribute to SLE pathogenesis. Overall, our data suggest that ACK1 and BRK deficiencies are associated with human SLE and impair efferocytosis in macrophages.