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The assumptions are described by something called the "heritability model". Most existing tools assume the GCTA Model. This figure shows that for four different tools (from left to right, lasso, ridge regression, Bolt-LMM and BayesR), prediction accuracy always increases when one switches from the GCTA Model to more realistic heritability models (e.g., the LDAK-Thin and BLD-LDAK Models). The top plot shows results for 14 individual phenotypes (including traits such as height, body mass index, neuroticism and hypertension), while the bottom plot shows averages across all phenotypes.

2021.07.07 |

Development of improved methods for predicting complex traits

Former fellow Doug Speed, together with colleagues from BiRC and NCRR, have developed improved methods for predicting complex traits. The work has been published in the journal Nature Communications this week.

Palmyrene portrait, credit: Wiki Creative Commons.

2021.07.07 |

The history of Palmyra through the lens of Palmyrene Portraits

For almost 300 years wealthy Palmyrenes commemorated their deceased with portraits set up in elaborate family tombs. In a new paper, in the Journal of Archaeological Science, the Palmyra Portrait Project reports on how this wealth of information was used to reconstruct the historical trajectories of the city's elite.

Photo: 5-minute lunch talk in the AIAS Hall by Former Fellow Michael V. Clausen. Credit: Ida Marie Jensen.

2021.07.05 |

Five new AIAS Associates from Aarhus University appointed

Five new AIAS Associates from Aarhus University have been appointed for a 3-year period, from August 2021. They will join the 23 Associates that started on 1 April, and together with the AIAS Fellows they form the large multidisciplinary, talented research group of AIAS.