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Mary Kate Wing

Researcher at University of Michigan

Publications -  7
Citations -  16439

Mary Kate Wing is an academic researcher from University of Michigan. The author has contributed to research in topics: Exome sequencing & Mitochondrial DNA. The author has an hindex of 6, co-authored 7 publications receiving 11173 citations.

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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

An efficient and scalable analysis framework for variant extraction and refinement from population-scale DNA sequence data

TL;DR: GotCloud is presented, a pipeline for efficiently detecting and genotyping high-quality variants from large-scale sequencing data that automates sequence alignment, sample-level quality control, variant calling, filtering of likely artifacts using machine-learning techniques, and genotype refinement using haplotype information.
Journal ArticleDOI

Correction: Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools

TL;DR: To the authors' knowledge, this is the largest population analysis to date of mtDNA dynamics, revealing the age-imposed increase in heteroplasmy, the relatively high heritability of copy number, and the association ofcopy number with metabolic traits.
Journal ArticleDOI

RAREMETAL: fast and powerful meta-analysis for rare variants.

TL;DR: RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant and burden tests and performs conditional association analyses.