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1.
Nature ; 586(7831): 749-756, 2020 10.
Article En | MEDLINE | ID: mdl-33087929

The UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world1. Here we describe the release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants (of which around 98.6% have a frequency of less than 1%). The data include 198,269 autosomal predicted loss-of-function (LOF) variants, a more than 14-fold increase compared to the imputed sequence. Nearly all genes (more than 97%) had at least one carrier with a LOF variant, and most genes (more than 69%) had at least ten carriers with a LOF variant. We illustrate the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes. In addition to replicating established associations, we found novel LOF variants with large effects on disease traits, including PIEZO1 on varicose veins, COL6A1 on corneal resistance, MEPE on bone density, and IQGAP2 and GMPR on blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical importance, and show that 2% of this population has a medically actionable variant. Furthermore, we characterize the penetrance of cancer in carriers of pathogenic BRCA1 and BRCA2 variants. Exome sequences from the first 49,960 participants highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community.


Databases, Genetic , Exome Sequencing , Exome/genetics , Loss of Function Mutation/genetics , Phenotype , Aged , Bone Density/genetics , Collagen Type VI/genetics , Demography , Female , Genes, BRCA1 , Genes, BRCA2 , Genotype , Humans , Ion Channels/genetics , Male , Middle Aged , Neoplasms/genetics , Penetrance , Peptide Fragments/genetics , United Kingdom , Varicose Veins/genetics , ras GTPase-Activating Proteins/genetics
2.
RNA ; 22(2): 184-92, 2016 Feb.
Article En | MEDLINE | ID: mdl-26647462

Small RNAs regulate gene expression and most genes in the worm Caenorhabditis elegans are subject to their regulation. Here, we analyze small RNA data sets and use reproducible features of RNAs present in multiple data sets to discover a new class of small RNAs and to reveal insights into two known classes of small RNAs--22G RNAs and 26G RNAs. We found that reproducibly detected 22-nt RNAs, although are predominantly RNAs with a G at the 5' end, also include RNAs with A, C, or U at the 5' end. These RNAs are synthesized downstream from characteristic sequence motifs on mRNA and have U-tailed derivatives. Analysis of 26G RNAs revealed that they are processed from a blunt end of double-stranded RNAs and that production of one 26G RNA generates a hotspot immediately downstream for production of another. To our surprise, analysis of RNAs shorter than 18 nt revealed a new class of RNAs, which we call NU RNAs (pronounced "new RNAs") because they have a NU bias at the 5' end, where N is any nucleotide. NU RNAs are antisense to genes and originate downstream from U bases on mRNA. Although many genes have complementary NU RNAs, their genome-wide distribution is distinct from that of previously known classes of small RNAs. Our results suggest that current approaches underestimate reproducibly detected RNAs that are shorter than 18 nt, and theoretical considerations suggest that such shorter RNAs could be used for sequence-specific gene regulation in organisms like C. elegans that have small genomes.


Caenorhabditis elegans/genetics , Gene Silencing , RNA, Double-Stranded/genetics , RNA, Small Interfering/genetics , Animals , Caenorhabditis elegans/metabolism , Caenorhabditis elegans Proteins/genetics , Caenorhabditis elegans Proteins/metabolism , Molecular Sequence Data , Nucleotide Motifs , RNA, Double-Stranded/metabolism , RNA, Small Interfering/chemistry , RNA, Small Interfering/metabolism , RNA-Dependent RNA Polymerase/genetics , RNA-Dependent RNA Polymerase/metabolism , Ribonuclease III/genetics , Ribonuclease III/metabolism
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