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Quan Long

Researcher at University of Calgary

Publications -  65
Citations -  12087

Quan Long is an academic researcher from University of Calgary. The author has contributed to research in topics: Population & Genome. The author has an hindex of 23, co-authored 63 publications receiving 10385 citations. Previous affiliations of Quan Long include Wellcome Trust Sanger Institute & Beijing Institute of Genomics.

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The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie, +132 more
- 08 May 2015 - 
TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.
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Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads

TL;DR: Pindel, a pattern growth approach, is presented, to detect breakpoints of large deletions and medium-sized insertions from paired-end short reads and to demonstrate the efficiency of the computer program and accuracy of the results.
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Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills, +374 more
- 03 Feb 2011 - 
TL;DR: A map of unbalanced SVs is constructed based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations, and serves as a resource for sequencing-based association studies.
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Correction: Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

TL;DR: This work catalogueed age-related gene expression changes in nine tissues from nearly two hundred individuals collected by the Genotype-Tissue Expression (GTEx) project, finding the aging gene expression signatures are very tissue specific and enrichment for some well-known aging components such as mitochondrial biology is observed in many tissues.
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An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.

TL;DR: Simulations suggest that the proposed multi-locus mixed model as a general method for mapping complex traits in structured populations outperforms existing methods in terms of power as well as false discovery rate.