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Thursday 1 October 2015

1000G and UK10K publish results of large scale human genome sequencing

Risultati immagini per human genetic variability

Both 1000G and UK10K consortia have recently published the results of their analysis on the variability of human genomes, based on their large scale genomics projects.


In the 1000G papers appeared on Nature the consortium described SNV and structural variants findings based on the phase 3 dataset. 
Citing the abstract, they have analyzed "2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries."

You can find the papers here:
A global reference for human genetic variation (Nature, 2015)

An integrated map of structural variation in 2,504 human genomes (Nature, 2015)



UK10K LogoThe UK10K consortium also published a detailed description of the human genetic variability based on around 10,000 samples, partially low coverage WGS of control samples and partially deep covered WES focused on various complex and rare diseases.
Citing the abstract, "Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections."
By the way, they published also an improved haplotype reference panel that can be used to improve imputation of low-frequency and rare variants also developed an online tools to explore their association results.
The third paper is a first example of the disease-oriented results obtained by the consortium: they identified EN1 as a gene involved in reduced bone density and recurrent fracture.

You can find the papers here:
The UK10K project identifies rare variants in health and disease (Nature, 2015)

Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel (Nature Communications, 2015)

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