ADAMS project: a genetic Association study in individuals from Diverse Ancestral backgrounds with Multiple Sclerosis based in the UK

Benjamin M. Jacobs(Queen Mary University of London), Luisa Schalk(Queen Mary University of London), Angie Dunne(Leeds Teaching Hospitals NHS Trust), Antonio Scalfari(Imperial College London), Ashwini Nandoskar(Hillingdon Hospital), Bruno Gran(Nottingham University Hospitals NHS Trust), Charles A. Mein(Queen Mary University of London), Charlotte Sellers(Queen Mary University of London), Cord Spilker(Bradford Teaching Hospitals NHS Foundation Trust), David Rog(Northern Health and Social Care Trust), Elisa Visentin(Queen's Hospital), Elizabeth Lindsey Bezzina(King's College Hospital), Emeka Uzochukwu(Cardiff University), Emma Tallantyre(University Hospital of Wales), Eva Wozniak(Queen Mary University of London), Eve Sacre(Leeds Teaching Hospitals NHS Trust), Ghaniah Hassan‐Smith(University Hospitals Birmingham NHS Foundation Trust), Helen Ford(Leeds Teaching Hospitals NHS Trust), Jade Harris(Northern Health and Social Care Trust), Joan Bradley(Hillingdon Hospital), Joshua Breedon(Queen Mary University of London), Judith Brooke(Northern Health and Social Care Trust), Karim L. Kreft(University Hospital of Wales), Katherine Tuite Dalton(Swansea University), Katila George(Queen Mary University of London), Maria Papachatzaki(Torbay and South Devon NHS Foundation Trust), Martin O’Malley(Leeds Teaching Hospitals NHS Trust), Michelle Peter(Queen Mary University of London), Miriam Mattoscio(Queen's Hospital), Neisha Rhule(Queen Elizabeth Hospital), Nikos Evangelou(Nottingham University Hospitals NHS Trust), Nimisha Vinod(Northern Health and Social Care Trust), Outi Quinn(Bradford Teaching Hospitals NHS Foundation Trust), Ramya Shamji(Queen's Hospital), Rashmi Kaimal(Queen Mary University of London), Rebecca L. Boulton(Nottingham University Hospitals NHS Trust), Riffat Tanveer(Lancashire Teaching Hospitals NHS Foundation Trust), Rod Middleton(Swansea University), Roxanne Murray(Queen Mary University of London), Ruth Bellfield(Bradford Teaching Hospitals NHS Foundation Trust), Sadid Hoque(Queen Mary University of London), Shakeelah Patel(Lancashire Teaching Hospitals NHS Foundation Trust), Sonia Raj(Lancashire Teaching Hospitals NHS Foundation Trust), Stephanie Gumus(Torbay and South Devon NHS Foundation Trust), Stephanie Mitchell(Northern Health and Social Care Trust), Stephen Sawcer(University of Cambridge), Tarunya Arun(University Hospitals Coventry and Warwickshire NHS Trust), Tatiana Pogreban(Queen's Hospital), Terri-Louise Brown(Queen Mary University of London), Thamanna Begum(Queen Mary University of London), Veronica Antoine(Northern Health and Social Care Trust), Waqar Rashid(St George’s University Hospitals NHS Foundation Trust), Alastair J. Noyce(Queen Mary University of London), Eli Silber(King's College Hospital), Huw R. Morris(National Hospital for Neurology and Neurosurgery), Gavin Giovannoni(Queen Mary University of London), Ruth Dobson(Queen Mary University of London)
BMJ Open
May 1, 2023
Cited by 7Open Access
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Abstract

PURPOSE: Genetic studies of multiple sclerosis (MS) susceptibility and severity have focused on populations of European ancestry. Studying MS genetics in other ancestral groups is necessary to determine the generalisability of these findings. The genetic Association study in individuals from Diverse Ancestral backgrounds with Multiple Sclerosis (ADAMS) project aims to gather genetic and phenotypic data on a large cohort of ancestrally-diverse individuals with MS living in the UK. PARTICIPANTS: Adults with self-reported MS from diverse ancestral backgrounds. Recruitment is via clinical sites, online (https://app.mantal.co.uk/adams) or the UK MS Register. We are collecting demographic and phenotypic data using a baseline questionnaire and subsequent healthcare record linkage. We are collecting DNA from participants using saliva kits (Oragene-600) and genotyping using the Illumina Global Screening Array V.3. FINDINGS TO DATE: As of 3 January 2023, we have recruited 682 participants (n=446 online, n=55 via sites, n=181 via the UK MS Register). Of this initial cohort, 71.2% of participants are female, with a median age of 44.9 years at recruitment. Over 60% of the cohort are non-white British, with 23.5% identifying as Asian or Asian British, 16.2% as Black, African, Caribbean or Black British and 20.9% identifying as having mixed or other backgrounds. The median age at first symptom is 28 years, and median age at diagnosis is 32 years. 76.8% have relapsing-remitting MS, and 13.5% have secondary progressive MS. FUTURE PLANS: Recruitment will continue over the next 10 years. Genotyping and genetic data quality control are ongoing. Within the next 3 years, we aim to perform initial genetic analyses of susceptibility and severity with a view to replicating the findings from European-ancestry studies. In the long term, genetic data will be combined with other datasets to further cross-ancestry genetic discoveries.


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