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  • PhD Student
  • Physician
  • Post-doc
  • Prize
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  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
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Scientific Fields
Diseases
Organisms
Applications
Technique

About

The enormous amount of genetic and genomic data generated in the last decade shows great promise in our ability to understand better human diseases and improving public health. Yet, the genetic architecture of complex human phenotypes remains elusive, and important questions are still unanswered. Our research addresses methodological issues related to the analysis of large multidimensional data in genetics and genomics. It focuses on particular on the development and application of innovative methods that aim at i) improving association mapping in large genomics datasets where multiple correlated variables are measured across multiple biological levels; ii) allowing for the robust evaluation of causal models that include both genetic, genomic, clinical and environmental data; and iii) identifying and targeting discoveries that have the highest potential clinical utility. We have developed several packages for the analysis of genetic data in human. Most of them are available here: https://gitlab.pasteur.fr/statistical-genetics

Former Members

2000
2000
Name
Position
2019
2020
Fabien Laporte
Postdoc
2017
2020
Vincent Laville
Postdoc
2017
2019
Amaury Vaysse
Postdoc
2016
2018
Florian Privé
PhD Student
2021
2022
Lucie Troubat
Research Engineer
2017
2018
Apolline Gallois
Research Engineer
2016
2017
Vincent Guillemot
Research Engineer
2020
2020
Sayeh Kazem
Undergraduate Student
2020
2020
Daniel Rodriguez-Pinzon
Undergraduate Student
2020
2020
Gabriel Pires
Undergraduate Student
2019
2019
Chunzi Yao
Undergraduate Student
2019
2019
Raouf Boukenna
Undergraduate Student
2017
2017
Carla Lasry
Undergraduate Student
2022
2022
Violeta Basten Romero
Undergraduate Student
2023
2023
Meryem Memmadi
Undergraduate Student
2023
2023
Xiang Li
PhD Student
2023
2023
Deniz Fettahoglu
Undergraduate Student
2023
2023
Anja Estermann
Undergraduate Student
Show all

Projects

Project
Ongoing
4 Members

Upturning Eroom’s law: Gathering genetic evidence to elucidate drug target potential – MooreForAll

Hanna Julienne (PI)

Exponentially increasing costs of pharmaceutical development – a phenomenon known as Eroom’s law – is a call for innovation. Here, we propose to integrate scattered genetic information on drug targets to guide their selection. […]
Project
Ongoing
6 Members

Étude des facteurs génétiques et cliniques prédictifs de la variabilité du microbiome et leur rôle dans les maladies inflammatoires de l’intestin (projet MicMat)

Hugues Aschard (PI)

Cette page est destinée aux participants de la cohorte SUIVITHEQUE inclus dans l’étude MicMat afin d’y retrouver : la notice d’information sur la protection des données à caractère personnel est accessible ici les résultats […]
Project
Ongoing
5 Members

Consortium EpiGenCOV (Epidemiologie Génétique de la COVID19)

Hugues Aschard (PI)

Sorry, this entry is only available in FR.

Transversal Project

Array

The microbial communities that live with us, the microbiota, are now understood to be a key component of our being, playing roles in metabolism, immunity and behavior. More than a decade has elapsed since […]

Cancer Initiative

With more than 19.3 million new cases in 2020 worldwide, including nearly 400,000 in France, cancer is a common disease that affects or will affect us all one day, directly or indirectly. It is […]

INCEPTION – Institut Convergence for the study of Emergence of Pathology Through Individuals and Populations

IINCEPTION Goal The Inception aims to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in various health issues (Official website here: https://www.inception-program.fr/en). The inception program uses Integrative Biology, […]

Software

Software
Ongoing
2 Members

MGMM : Missingness Aware Gaussian Mixture Models

Hugues Aschard (PI)

Although missing data are prevalent in applications, existing implementations of Gaussian mixture models (GMMs) require complete data. Standard practice is to perform complete case analysis or imputation prior to model fitting. Both approaches have […]
Software
Ongoing
2 Members

RAISS

Hugues Aschard (PI)

Multi-trait analyses using public summary statistics from genome-wide association studies (GWASs) are becoming increasingly popular. A constraint of multi-trait methods is that they require complete summary data for all traits. Although methods for the […]
Software
Ongoing
6 Members

JASS – Joint Analysis of (GWAS) Summary Statistics

Hugues Aschard (PI)

JASS is a python package that handles the computation of the joint statistics over sets of selected GWAS results, and the interactive exploration of the results through a web interface. The generation of joint […]

Publications

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