Adam Douglas

The Koala Genome

Latest Research

  • Article |

    Relatedness disequilibrium regression is a new method for estimating heritability that removes environmental bias by taking advantage of variation in relatedness due to random Mendelian segregation.

    • Alexander I. Young
    • , Michael L. Frigge
    • , Daniel F. Gudbjartsson
    • , Gudmar Thorleifsson
    • , Gyda Bjornsdottir
    • , Patrick Sulem
    • , Gisli Masson
    • , Unnur Thorsteinsdottir
    • , Kari Stefansson
    •  & Augustine Kong
  • Analysis |

    SAIGE (Scalable and Accurate Implementation of GEneralized mixed model) is a generalized mixed model association test that can efficiently analyze large data sets while controlling for unbalanced case-control ratios and sample relatedness, as shown by applying SAIGE to the UK Biobank data for > 1,400 binary phenotypes.

    • Wei Zhou
    • , Jonas B. Nielsen
    • , Lars G. Fritsche
    • , Rounak Dey
    • , Maiken E. Gabrielsen
    • , Brooke N. Wolford
    • , Jonathon LeFaive
    • , Peter VandeHaar
    • , Sarah A. Gagliano
    • , Aliya Gifford
    • , Lisa A. Bastarache
    • , Wei-Qi Wei
    • , Joshua C. Denny
    • , Maoxuan Lin
    • , Kristian Hveem
    • , Hyun Min Kang
    • , Goncalo R. Abecasis
    • , Cristen J. Willer
    •  & Seunggeun Lee
  • Article |

    The authors identify copy number signatures from shallow whole-genome sequencing of high-grade serous ovarian cancer (HGSOC) cases. HGSOC comprises a continuum of genomes shaped by multiple mutational processes that result in genomic aberration.

    • Geoff Macintyre
    • , Teodora E. Goranova
    • , Dilrini De Silva
    • , Darren Ennis
    • , Anna M. Piskorz
    • , Matthew Eldridge
    • , Daoud Sie
    • , Liz-Anne Lewsley
    • , Aishah Hanif
    • , Cheryl Wilson
    • , Suzanne Dowson
    • , Rosalind M. Glasspool
    • , Michelle Lockley
    • , Elly Brockbank
    • , Ana Montes
    • , Axel Walther
    • , Sudha Sundar
    • , Richard Edmondson
    • , Geoff D. Hall
    • , Andrew Clamp
    • , Charlie Gourley
    • , Marcia Hall
    • , Christina Fotopoulou
    • , Hani Gabra
    • , James Paul
    • , Anna Supernat
    • , David Millan
    • , Aoisha Hoyle
    • , Gareth Bryson
    • , Craig Nourse
    • , Laura Mincarelli
    • , Luis Navarro Sanchez
    • , Bauke Ylstra
    • , Mercedes Jimenez-Linan
    • , Luiza Moore
    • , Oliver Hofmann
    • , Florian Markowetz
    • , Iain A. McNeish
    •  & James D. Brenton
  • Letter |

    Genome-wide polygenic risk scores derived from GWAS data for five common diseases can identify subgroups of the population with risk approaching or exceeding that of a monogenic mutation.

    • Amit V. Khera
    • , Mark Chaffin
    • , Krishna G. Aragam
    • , Mary E. Haas
    • , Carolina Roselli
    • , Seung Hoan Choi
    • , Pradeep Natarajan
    • , Eric S. Lander
    • , Steven A. Lubitz
    • , Patrick T. Ellinor
    •  & Sekar Kathiresan

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