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Christian Fuchsberger

Researcher at University of Lübeck

Publications -  163
Citations -  41762

Christian Fuchsberger is an academic researcher from University of Lübeck. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 57, co-authored 142 publications receiving 30320 citations. Previous affiliations of Christian Fuchsberger include European Academy of Bozen & Innsbruck Medical University.

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A global reference for human genetic variation.

Adam Auton, +517 more
- 01 Oct 2015 - 
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.

A global reference for human genetic variation

Adam Auton, +479 more
TL;DR: The 1000 Genomes Project as mentioned in this paper provided a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and reported the completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole genome sequencing, deep exome sequencing and dense microarray genotyping.
Journal ArticleDOI

A reference panel of 64,976 haplotypes for genotype imputation

Shane A. McCarthy, +117 more
- 22 Aug 2016 - 
TL;DR: A reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies.
Journal ArticleDOI

Fast and accurate genotype imputation in genome-wide association studies through pre-phasing

TL;DR: This work introduces a strategy called 'pre-phasing' that maintains the accuracy of leading methods while reducing computational costs in genome-wide association studies (GWAS), and will be particularly valuable for repeated imputation as reference panels evolve.