About the London Medical Databases
London Medical Database (LMD) was cofounded by Dr. Michael Baraitser, formerly Consultant in Clinical Genetics at Great Ormond Street Children’s Hospital, London, and Professor Robin Winter, formerly Professor of Clinical Dysmorphology and Clinical Genetics at the Institute of Child Health, London, and Honorary Consultant in Clinical Genetics at Great Ormond Street Children’s Hospital, London.
“Robin Winter and I started working on the database more than 25 years ago and it was very important to him. There were times when the volume of work became a little too much and he would shrug his shoulders and say that it was an essential tool for our everyday clinical practice and that we should go on. He would say, ‘if other people liked using it, so much the better.’ In honour of Robin’s work, the London Dysmorphology and Neurogenetics databases have been renamed the Winter-Baraitser Dysmorphology Database (WBDD) and the Baraitser-Winter Neurogenetics Database (BWND). I hope this will be a fitting memorial to the best dysmorphologist that I ever encountered.”
- Dr. Michael Baraitser, LMD Author
In 2016, London Medical Database (LMD) was integrated exclusively into the Face2Gene LIBRARY, joining the Face2Gene Suite of apps. With a new, lower price to make the resource more accessible, the new LMD is accessible from any device in Face2Gene LIBRARY – with updated content, new search features and a community platform that allows the genetics community to curate content.
Dr. LMD Team is working with genetics experts worldwide to keep LMD the most up-to-date and advanced resource of its kind. You may contact Dr. Basel with any questions or ideas.
All three expert databases are included in one.
- Winter-Baraitser Dysmorphology Database (WBDD)
- Baraitser-Winter Neurogenetics Database (BWDB)
- London Ophthalmic Genetics Database (GENEEYE)
A tremendous thank you to Dr. Winter and Dr. Baraitser for their decades-long efforts in developing this resource, and for now ensuring its legacy continues through uniting with Face2Gene.