scispace - formally typeset
E

Emma Pierce-Hoffman

Researcher at Broad Institute

Publications -  16
Citations -  16838

Emma Pierce-Hoffman is an academic researcher from Broad Institute. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 8, co-authored 13 publications receiving 12653 citations. Previous affiliations of Emma Pierce-Hoffman include Harvard University & Massachusetts Institute of Technology.

Papers
More filters
Journal ArticleDOI

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek, +106 more
- 18 Aug 2016 - 
TL;DR: The aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC) provides direct evidence for the presence of widespread mutational recurrence.
Journal ArticleDOI

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

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek, +72 more
- 30 Oct 2015 - 
TL;DR: The aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC) provides direct evidence for the presence of widespread mutational recurrence.
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.
Posted ContentDOI

Regional missense constraint improves variant deleteriousness prediction

TL;DR: This work leveraged the exome sequencing data of 60,706 individuals from the Exome Aggregation Consortium (ExAC) dataset to identify sub-genic regions that are depleted of missense variation and used this depletion as part of a novel missense deleteriousness metric named MPC.