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Selection of extreme cases and controls as a strategy for efficient whole genome sequencing leads to enriched detection of most known type 2 diabetes susceptibility loci

Selection of extreme cases and controls as a strategy for efficient whole genome sequencing leads to enriched detection of most known type 2 diabetes susceptibility loci

Bibliografiska uppgifter
Huvudupphovsmän: Mahajan, A, Perry, J, Gaulton, K, Pearson, R, Robertson, N, Rayner, N, Chen, Y, Spector, T, Morris, A, Prokopenko, I, McCarthy, M, Investigators, G
Materialtyp: Conference item
Publicerad: 2011
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Liknande verk

  • Fine-scale mapping of type 2 diabetes susceptibility loci by imputation and conditional analysis
    av: Wiltshire, S, et al.
    Publicerad: (2010)
  • Identification of additional type 2 diabetes susceptibility loci through large-scale replication using "Metabochip": early result
    av: Prokopenko, I, et al.
    Publicerad: (2010)
  • Large-scale genome-wide association meta-analysis of the 1000 genomes project imputed data identifies 19 novel lipid loci and new variants in previously known loci
    av: Prokopenko, I, et al.
    Publicerad: (2013)
  • Genome-wide enrichment analysis between endometriosis and obesity-related traits reveals novel susceptibility loci.
    av: Rahmioglu, N, et al.
    Publicerad: (2014)
  • Genetic fine-mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci
    av: Gaulton, KJ, et al.
    Publicerad: (2015)

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