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Open AccessJournal ArticleDOI

A haplotype map of the human genome

John W. Belmont, +232 more
- Vol. 437, Iss: 7063, pp 1299-1320
TLDR
A public database of common variation in the human genome: more than one million single nucleotide polymorphisms for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted.
Abstract
Inherited genetic variation has a critical but as yet largely uncharacterized role in human disease. Here we report a public database of common variation in the human genome: more than one million single nucleotide polymorphisms (SNPs) for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted. These data document the generality of recombination hotspots, a block-like structure of linkage disequilibrium and low haplotype diversity, leading to substantial correlations of SNPs with many of their neighbours. We show how the HapMap resource can guide the design and analysis of genetic association studies, shed light on structural variation and recombination, and identify loci that may have been subject to natural selection during human evolution.

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Citations
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Journal ArticleDOI

Accurate whole human genome sequencing using reversible terminator chemistry

David R. Bentley, +201 more
- 06 Nov 2008 - 
TL;DR: An approach that generates several billion bases of accurate nucleotide sequence per experiment at low cost is reported, effective for accurate, rapid and economical whole-genome re-sequencing and many other biomedical applications.
Journal ArticleDOI

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

TL;DR: This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.
Journal ArticleDOI

Integrating common and rare genetic variation in diverse human populations

David Altshuler, +68 more
- 02 Sep 2010 - 
TL;DR: An expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.
Journal ArticleDOI

Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering.

TL;DR: This work presents a new method and software for inference of haplotypes phase and missing data that can accurately phase data from whole-genome association studies, and presents the first comparison of haplotype-inference methods for real and simulated data sets with thousands of genotyped individuals.
References
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Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Journal ArticleDOI

The sequence of the human genome.

J. Craig Venter, +272 more
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TL;DR: Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems are indicated.
Journal ArticleDOI

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston, +222 more
- 05 Dec 2002 - 
TL;DR: The results of an international collaboration to produce a high-quality draft sequence of the mouse genome are reported and an initial comparative analysis of the Mouse and human genomes is presented, describing some of the insights that can be gleaned from the two sequences.
Journal ArticleDOI

The International HapMap Project

John W. Belmont, +145 more
- 18 Dec 2003 - 
TL;DR: The HapMap will allow the discovery of sequence variants that affect common disease, will facilitate development of diagnostic tools, and will enhance the ability to choose targets for therapeutic intervention.
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