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Laurent C. Francioli

Researcher at Broad Institute

Publications -  46
Citations -  10026

Laurent C. Francioli is an academic researcher from Broad Institute. The author has contributed to research in topics: Population & Genome. The author has an hindex of 22, co-authored 41 publications receiving 6046 citations. Previous affiliations of Laurent C. Francioli include Massachusetts Institute of Technology & University of Geneva.

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The mutational constraint spectrum quantified from variation in 141,456 humans

TL;DR: A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.
Posted ContentDOI

Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes

Konrad J. Karczewski, +95 more
- 30 Jan 2019 - 
TL;DR: Using an improved human mutation rate model, human protein-coding genes are classified along a spectrum representing tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve gene discovery power for both common and rare diseases.
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Whole-genome sequence variation, population structure and demographic history of the Dutch population

Laurent C. Francioli, +91 more
- 01 Jun 2014 - 
TL;DR: The Genome of the Netherlands (GoNL) Project is described, in which the whole genomes of 250 Dutch parent-offspring families were sequenced and a haplotype map of 20.4 million single-nucleotide variants and 1.2 million insertions and deletions were constructed.
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A structural variation reference for medical and population genetics

TL;DR: A large empirical assessment of sequence-resolved structural variants from 14,891 genomes across diverse global populations in the Genome Aggregation Database (gnomAD) provides a reference map for disease-association studies, population genetics, and diagnostic screening.
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An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.

Catherine A. Brownstein, +210 more
- 25 Mar 2014 - 
TL;DR: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases and reveals a general convergence of practices on most elements of the analysis and interpretation process.