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In 2010, the project finished its pilot phase, which was described in detail in a publication in the journal Nature. [1] In 2012, the sequencing of 1092 genomes was announced in a Nature publication. [2] In 2015, two papers in Nature reported results and the completion of the project and opportunities for future research. [3] [4]
The WHG has been involved in many international statistical genetics advances including the Wellcome Trust Case Control Consortia (WTCCC, WTCCC2), the 1000 Genomes Project and the International HapMap Project. [10]
For a long time PHASE [3] was the most accurate method. PHASE was the first method to utilize ideas from coalescent theory concerning the joint distribution of haplotypes. This method used a Gibbs sampling approach in which each individuals haplotypes were updated conditional upon the current estimates of haplotypes from all other samples.
The main reason for improving the reference assemblies are that they are the cornerstones upon which all whole genome studies are based (e.g. the 1000 Genomes Project). The GRC is a collaborative effort which interacts with various groups in the scientific community. [1] The primary member institutes are: The Wellcome Sanger Institute
The $1,000 genome refers to an era of predictive and personalized medicine during which the cost of fully sequencing an individual's genome is roughly one thousand USD. [ 1 ] [ 2 ] It is also the title of a book by British science writer and founding editor of Nature Genetics , Kevin Davies. [ 3 ]
In January 2008, the launch of the 1000 Genomes Project, a collaboration with scientists around the globe, signalled an effort to sequence the genomes of 1000 individuals in order to create the "most detailed map of human genetic variation to support disease studies". [25]
In genetics, imputation is the statistical inference of unobserved genotypes. [1] It is achieved by using known haplotypes in a population, for instance from the HapMap or the 1000 Genomes Project in humans, thereby allowing to test for association between a trait of interest (e.g. a disease) and experimentally untyped genetic variants, but whose genotypes have been statistically inferred ...
The Human Genome Diversity Project (HGDP) was started by Stanford University's Morrison Institute in 1990s along with collaboration of scientists around the world. [1] It is the result of many years of work by Luigi Cavalli-Sforza, one of the most cited scientists in the world, who has published extensively in the use of genetics to understand human migration and evolution.