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Yun Li

Researcher at University of North Carolina at Chapel Hill

Publications -  944
Citations -  86089

Yun Li is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 96, co-authored 488 publications receiving 69381 citations. Previous affiliations of Yun Li include Stanford University & Children's Hospital of Philadelphia.

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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.
Journal ArticleDOI

A second generation human haplotype map of over 3.1 million SNPs

Kelly A. Frazer, +237 more
- 18 Oct 2007 - 
TL;DR: The Phase II HapMap is described, which characterizes over 3.1 million human single nucleotide polymorphisms genotyped in 270 individuals from four geographically diverse populations and includes 25–35% of common SNP variation in the populations surveyed, and increased differentiation at non-synonymous, compared to synonymous, SNPs is demonstrated.
Journal ArticleDOI

METAL: fast and efficient meta-analysis of genomewide association scans.

TL;DR: METAL provides a computationally efficient tool for meta-analysis of genome-wide association scans, which is a commonly used approach for improving power complex traits gene mapping studies.

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.