Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Researchers from the University of Oxford’s Big Data Institute have taken a major step towards mapping the entirety of genetic relationships among humans: a single genealogy that traces the ancestry of all of us.

Map of the world superimposed on a pair of human hands © David Bruyland

The past two decades have seen extraordinary advancements in human genetic research, generating genomic data for hundreds of thousands of individuals, including from thousands of prehistoric people. This raises the exciting possibility of tracing the origins of human genetic diversity to produce a complete map of how individuals across the world are related to each other.

Until now, the main challenges to this vision were working out a way to combine genome sequences from many different databases and developing algorithms to handle data of this size. However, a new method published by researchers from the University of Oxford's Big Data Institute can easily combine data from multiple sources and scale to accommodate millions of genome sequences.

Read the full story on the University of Oxford website

Similar stories

New research reveals relationship between particular brain circuits and different aspects of mental wellbeing

Researchers at the University of Oxford have uncovered previously unknown details about how changes in the brain contribute to changes in wellbeing.

Night-time blood pressure assessment is found to be important in diagnosing hypertension

Around 15% of people aged 40-75 may have a form of undiagnosed high blood pressure (hypertension) that occurs only at night-time. Because they do not know about this, and therefore are not being treated for it, they are at a higher risk of cardiovascular disease such as stroke, heart failure, and even death, suggests new research from the University of Oxford published in the British Journal of General Practice.

Major new NIHR Global Health Research Unit to focus on data science and genomic surveillance of antimicrobial resistance

The Centre for Genomic Pathogen Surveillance, part of the Big Data Institute at the University of Oxford, has been awarded funding worth £7m for their work as an NIHR Global Health Research Unit (GHRU) for the next five years. The Centre’s research and capacity building work focuses on delivering genomics and enabling data for the surveillance of antimicrobial resistance (AMR).

How artificial intelligence is shaping medical imaging

Dr Qiang Zhang of the Radcliffe Department of Medicine explains how artificial intelligence is being used to help researchers and physicians interpret medical imaging.

Researchers describe how cancer cells can defend themselves from the consequences of certain genetic defects

Researchers in Department of Physiology, Anatomy and Genetics have identified a rescue mechanism that allows cancers to overcome the consequences of inactivating mutations in critically important genes.