Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–12 of 12 results
Advanced filters: Author: Ryan Poplin Clear advanced filters

  • 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

  • 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

  • Sequencing data from two large-scale studies show that most of the genetic variation influencing the risk of type 2 diabetes involves common alleles and is found in regions previously identified by genome-wide association studies, clarifying the genetic architecture of this disease.

    • Christian Fuchsberger
    • Jason Flannick
    • Mark I. McCarthy
    Research
    Nature
    Volume: 536, P: 41-47

  • The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.

    • Richard M. Durbin
    • David Altshuler (Co-Chair)
    • Gil A. McVean
    ResearchOpen Access
    Nature
    Volume: 467, P: 1061-1073

  • Exome sequencing data from 60,706 people of diverse geographic ancestry is presented, providing insight into genetic variation across populations, and illuminating the relationship between DNA variants and human disease.

    • Monkol Lek
    • Konrad J. Karczewski
    • Daniel G. MacArthur
    ResearchOpen Access
    Nature
    Volume: 536, P: 285-291

  • 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

  • Exome sequencing of 175 autism spectrum disorder parent–child trios reveals that few de novo point mutations have a role in autism spectrum disorder and those that do are distributed across many genes and are incompletely penetrant, further supporting extreme genetic heterogeneity of this spectrum disorder.

    • Benjamin M. Neale
    • Yan Kou
    • Mark J. Daly
    Research
    Nature
    Volume: 485, P: 242-245

  • Mark DePristo and colleagues report an analytical framework to discover and genotype variation using whole exome and genome resequencing data from next-generation sequencing technologies. They apply these methods to low-pass population sequencing data from the 1000 Genomes Project.

    • Mark A DePristo
    • Eric Banks
    • Mark J Daly
    Research
    Nature Genetics
    Volume: 43, P: 491-498