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Detecting Polygenic Adaptation Targeting Gene Expression Regulation In Humans Using eQTL Networks.

Project description

New insights into human genetic variation

Many human traits are highly polygenic and are governed by multiple genetic loci. The adaptation of such complex phenotypes takes place through small changes in allele frequencies at these loci. The EU-funded PATTERNS project proposes to study how polygenic adaptation may act on complex phenotypes through gene expression regulation, an aspect that has largely been overlooked. Scientists will combine network biology and population genetics methods to study the impact of polygenic adaptation on gene expression regulation. Results will provide a better understanding of how polygenic adaptation drives genetic diversity in humans and the extent to which it contributes to diseases.

Objective

Polygenic adaptation, in which small changes in allele frequencies co-occur at multiple variants, has been proposed to be a major adaptive mechanism for complex phenotypes. Most approaches to detect polygenic adaptation consist in combining signatures of positive selection across functionally homogenous sets of genes or variants. However, few studies have looked at regulatory variants and none have accounted for the tissue-specificity of gene expression.
Here, we propose to combine network biology and population genetics methods in order to detect polygenic adaptation acting on complex phenotypes through gene expression regulation. First, we will identify communities of regulatory variants that coregulate groups of genes, by representing both cis- and trans-expression quantitative trait loci as bipartite graphs. We will then search for communities enriched for signatures of weak positive selection to identify regulatory variants under polygenic adaptation. After evaluating the power of our approach using simulations, we will apply it to data from several tissues from the GTEx project. This will allow us to identify and characterise biological functions evolving under polygenic adaptation, taking into account the tissue-specificity of their expression. We thus hope to better understand the extent to which polygenic adaptation shaped the human genetic diversity and susceptibility to complex diseases.
The PATTERNS project will be led by the experienced researcher (ER), who has worked on network biology during her postdoc in the USA. She will collaborate with the supervisor who is an expert in theoretical population genetics, and receive training in teaching, grant writing and management and communication. This will help the ER in her path to independence by strengthening her unique profile at the intersection of system biology and population genetics. The host institution will in turn benefit from her experience and network in the USA.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 184 707,84
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 184 707,84
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