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Showing 1–14 of 14 results
Advanced filters: Author: TOM MATHIESON Clear advanced filters

  • In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

    • Dinesh Aggarwal
    • Ben Warne
    • Ian G. Goodfellow
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-16

  • Levels of circulating thyrotropin and free thyroxine reflect thyroid function, however, their genetic underpinnings remain poorly understood. Taylor et al. take advantage of whole-genome sequence data from cohorts within the UK10K project to identify novel variants associated with these traits.

    • Peter N. Taylor
    • Eleonora Porcu
    • Pingbo Zhang
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-11

  • Low read depth sequencing of whole genomes and high read depth exomes of nearly 10,000 extensively phenotyped individuals are combined to help characterize novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with lipid-related traits; in addition to describing population structure and providing functional annotation of rare and low-frequency variants the authors use the data to estimate the benefits of sequencing for association studies.

    • Klaudia Walter
    • Josine L. Min
    • Weihua Zhang
    ResearchOpen Access
    Nature
    Volume: 526, P: 82-90

  • 1000 Genomes imputation can increase the power of genome-wide association studies to detect genetic variants associated with human traits and diseases. Here, the authors develop a method to integrate and analyse low-coverage sequence data and SNP array data, and show that it improves imputation performance.

    • Olivier Delaneau
    • Jonathan Marchini
    • Leena Peltonenz
    Research
    Nature Communications
    Volume: 5, P: 1-9

  • Imputation uses genotype information from SNP arrays to infer the genotypes of missing markers. Here, the authors show that an imputation reference panel derived from whole-genome sequencing of 3,781 samples from the UK10K project improves the imputation accuracy and coverage of low frequency variants compared to existing methods.

    • Jie Huang
    • Bryan Howie
    • Nicole Soranzo
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-9

  • Population-based genome sequencing provides an increasingly rich resource for the identification of low-frequency, large effect variants associated with clinically important phenotypes. Timpson et al. use UK10K data to identify a variant of the APOC3gene strongly associated with plasma triglyceride levels.

    • Nicholas J. Timpson
    • Klaudia Walter
    • Hou-Feng Zheng
    ResearchOpen Access
    Nature Communications
    Volume: 5, P: 1-11

  • This report from the 1000 Genomes Project describes the genomes of 1,092 individuals from 14 human populations, providing a resource for common and low-frequency variant analysis in individuals from diverse populations; hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites, can be found in each individual.

    • Gil A. McVean
    • David M. Altshuler (Co-Chair)
    • Gil A. McVean
    ResearchOpen Access
    Nature
    Volume: 491, P: 56-65

  • Size and shape of the brain are, among others, influenced by the dimensions of the skull. Here, the authors report genome-wide association studies for head circumference and intracranial volume in children and adults and the identification of nine common or low-frequency variants associated with these traits.

    • Simon Haworth
    • Chin Yang Shapland
    • Beate St Pourcain
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-16

  • Results for the final phase of the 1000 Genomes Project are presented including whole-genome sequencing, targeted exome sequencing, and genotyping on high-density SNP arrays for 2,504 individuals across 26 populations, providing a global reference data set to support biomedical genetics.

    • Adam Auton
    • Gonçalo R. Abecasis
    • Gonçalo R. Abecasis
    ResearchOpen Access
    Nature
    Volume: 526, P: 68-74

  • Using whole-genome data for single-nucleotide polymorphism and results from genome-wide association studies, the authors show that people’s preference for pairing with those with similar phenotypic traits has genetic causes and consequences.

    • Matthew R. Robinson
    • Aaron Kleinman
    • Peter M. Visscher
    Research
    Nature Human Behaviour
    Volume: 1, P: 1-13