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Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants

Author

Listed:
  • Kalliope Panoutsopoulou

    (Wellcome Trust Sanger Institute)

  • Konstantinos Hatzikotoulas

    (Wellcome Trust Sanger Institute)

  • Dionysia Kiara Xifara

    (Wellcome Trust Centre for Human Genetics, University of Oxford
    University of Oxford)

  • Vincenza Colonna

    (Institute of Genetics and Biophysics ‘A. Buzzati-Traverso’, National Research Council (CNR))

  • Aliki-Eleni Farmaki

    (Harokopio University of Athens)

  • Graham R. S. Ritchie

    (Wellcome Trust Sanger Institute
    European Molecular Biology Laboratory, European Bioinformatics Institute)

  • Lorraine Southam

    (Wellcome Trust Sanger Institute
    Wellcome Trust Centre for Human Genetics, University of Oxford)

  • Arthur Gilly

    (Wellcome Trust Sanger Institute)

  • Ioanna Tachmazidou

    (Wellcome Trust Sanger Institute)

  • Segun Fatumo

    (Wellcome Trust Sanger Institute
    H3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST)
    International Health Research Group, University of Cambridge)

  • Angela Matchan

    (Wellcome Trust Sanger Institute)

  • Nigel W. Rayner

    (Wellcome Trust Sanger Institute
    Wellcome Trust Centre for Human Genetics, University of Oxford
    Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital)

  • Ioanna Ntalla

    (Harokopio University of Athens
    University of Leicester)

  • Massimo Mezzavilla

    (Wellcome Trust Sanger Institute
    IRCCS-Burlo Garofolo, University of Trieste)

  • Yuan Chen

    (Wellcome Trust Sanger Institute)

  • Chrysoula Kiagiadaki

    (Anogia Medical Centre)

  • Eleni Zengini

    (Dromokaiteio Psychiatric Hospital of Athens, Chaidari, Athens 12461, Greece
    University of Sheffield)

  • Vasiliki Mamakou

    (Dromokaiteio Psychiatric Hospital of Athens, Chaidari, Athens 12461, Greece
    School of Medicine, National and Kapodistrian University of Athens, Goudi, Athens 11527, Greece)

  • Antonis Athanasiadis

    (Echinos Medical Centre)

  • Margarita Giannakopoulou

    (School of Health Sciences, Faculty of Nursing, National and Kapodistrian University of Athens, Goudi, Athens 11527, Greece)

  • Vassiliki-Eirini Kariakli

    (Harokopio University of Athens)

  • Rebecca N. Nsubuga

    (Medical Research Council/Uganda Virus Research Institute, Uganda Research Unit on AIDS)

  • Alex Karabarinde

    (Medical Research Council/Uganda Virus Research Institute, Uganda Research Unit on AIDS)

  • Manjinder Sandhu

    (Wellcome Trust Sanger Institute
    International Health Research Group, University of Cambridge)

  • Gil McVean

    (Wellcome Trust Centre for Human Genetics, University of Oxford)

  • Chris Tyler-Smith

    (Wellcome Trust Sanger Institute)

  • Emmanouil Tsafantakis

    (Anogia Medical Centre)

  • Maria Karaleftheri

    (Echinos Medical Centre)

  • Yali Xue

    (Wellcome Trust Sanger Institute)

  • George Dedoussis

    (Harokopio University of Athens)

  • Eleftheria Zeggini

    (Wellcome Trust Sanger Institute)

Abstract

Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P=2.3 × 10−26). We replicate this association in a second set of Pomak samples (combined P=2.0 × 10−36). We demonstrate significant power gains in detecting medical trait associations.

Suggested Citation

  • Kalliope Panoutsopoulou & Konstantinos Hatzikotoulas & Dionysia Kiara Xifara & Vincenza Colonna & Aliki-Eleni Farmaki & Graham R. S. Ritchie & Lorraine Southam & Arthur Gilly & Ioanna Tachmazidou & Se, 2014. "Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants," Nature Communications, Nature, vol. 5(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6345
    DOI: 10.1038/ncomms6345
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    Cited by:

    1. Grace Png & Andrei Barysenka & Linda Repetto & Pau Navarro & Xia Shen & Maik Pietzner & Eleanor Wheeler & Nicholas J. Wareham & Claudia Langenberg & Emmanouil Tsafantakis & Maria Karaleftheri & George, 2021. "Mapping the serum proteome to neurological diseases using whole genome sequencing," Nature Communications, Nature, vol. 12(1), pages 1-12, December.

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