Welcome

R. de Vlaming May 4, 2021

Welcome to the homepage of Ronald de Vlaming, Assistant Professor at the Depart of Economics, School of Business and Economics, Vrij Universiteit Amsterdam, member of the Social Science Genetic Association Consortium (SSGAC).

Machine Learning Summer School

R. de Vlaming April 4, 2022

From July 25 until July 29, Lukas Hoesch and Ronald de Vlaming will teach a summer school on Foundations of Data Analysis and Machine Learning in Python.

In this course, you will learn about a wide range of machine learning techniques, ranging from linear and non-linear regression models to dimensionality-reduction techniques, clustering methods and deep learning using artificial neural networks. Special attention will be paid to both a theoretical understanding of the various methods as well as to real-life applications of the techniques using Python.

The summer school is hosted by the Tinbergen Institute as part of the research master program in Business Data Science.

To find out more about this course and to apply, please visit the Summer School Website.

Genome-Wide Data Analysis

R. de Vlaming April 4, 2022

From July 18 until July 22, Aysu Okbay, Ronald de Vlaming, and Hermon Kweon will teach a summer school on Genome-Wide Data Analysis.

The goal of this summer school is to introduce researchers from various fields to key concepts, state-of-the-art methods, and computer tools in statistical genetics that can be applied in the social and medical sciences. The course will be highly quantitative and interactive, covering topics such as the estimation and interpretation of heritability using molecular genetic data, genetic association studies, polygenic prediction, and identification strategies to isolate causal effects using genetic insights. It will emphasize methodological issues such as appropriate study design, data integrity, multiple testing, detecting and controlling for potential confounds, as well as factors influencing the accuracy of polygenic scores.

The summer school is hosted by the Tinbergen Institute as part of the research master program in Business Data Science.

To find out more about this course and to apply, please visit the Summer School Website.

Efficient Multivariate GREML

R. de Vlaming October 12, 2021

Researchers from the Vrije Universiteit Amsterdam, Erasmus University Rotterdam, University of Cambridge, McGill University, and University of Wisconsin-Madison have developed a new tool for joint, efficient estimation of large genetic correlation matrices. This command-line tool, called MGREML, is available on GitHub. The manuscript in which MGREML is described and applied to 74 brain measures and several behavioural traits has been published in Communications Biology.

Joint Approximate Diagonalization

R. de Vlaming October 8, 2021

Researchers from the Vrije Universiteit Amsterdam and the University of Cambridge have developed JADOC: a new method for joint approximate diagonalization of multiple positive (semi)-definite matrices. This method is implemented as a tool for Python 3.x and is available on GitHub. The article in which JADOC is described is now available as preprint on arXiv

Signatures of negative selection

R. de Vlaming April 30, 2018

The Vrije Universiteit Amsterdam has posted a short news item (in Dutch) on its website about the recent publication in Nature Genetics on signatures of negative selection in the genetic architecture of human complex traits. An open-access version of the manuscript can be found here.

MetaGAP calculator

R. de Vlaming September 27, 2016

The MetaGAP calculator described in De Vlaming et al. (2016) can be accessed here or using the menu. Edit [4/30/18]: the manuscript on the MetaGAP calculator has now also been published in PLOS Genetics.