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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

Genetic evidence implicating multiple genes in the MET receptor tyrosine kinase pathway in autism spectrum disorder

TL;DR: Gene–gene interaction analyses suggested a significant interaction between MET and PLAUR, and further support the hypothesis that genetic susceptibility impacting multiple components of the MET signaling pathway contributes to ASD risk.
Posted Content

A Multivariate Regression Approach to Association Analysis of Quantitative Trait Network

TL;DR: In this article, a graph-guided fused lasso (GFlasso) was proposed to identify genetic variations associated simultaneously with correlated traits, where the dependency structure among the quantitative traits was represented as a network and leveraged this trait network to encode structured regularizations in a multivariate regression model over the genotypes and traits.
Journal ArticleDOI

Maximum-likelihood estimation of recent shared ancestry (ERSA)

TL;DR: A maximum-likelihood method for the estimation of recent shared ancestry (ERSA) from the number and lengths of IBD segments derived from high-density SNP or whole-genome sequence data that greatly expands the range of relationships that can be estimated from genetic data and is implemented in a freely available software package.
Journal ArticleDOI

High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays.

TL;DR: The results demonstrate that the Dynamic Array is an excellent genotyping system for medium-throughput multiplexing (30-300 SNPs), which is simple to use and combines rapid throughput with excellent call rates, high concordance and low cost.
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
- 16 Feb 2001 - 
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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