Unknown

Dataset Information

0

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


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.

SUBMITTER: Jacobs BM 

PROVIDER: S-EPMC10193065 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Jacobs Benjamin M BM   Schalk Luisa L   Dunne Angie A   Scalfari Antonio A   Nandoskar Ashwini A   Gran Bruno B   Mein Charles A CA   Sellers Charlotte C   Spilker Cord C   Rog David D   Visentin Elisa E   Bezzina Elizabeth Lindsey EL   Uzochukwu Emeka E   Tallantyre Emma E   Wozniak Eva E   Sacre Eve E   Hassan-Smith Ghaniah G   Ford Helen L HL   Harris Jade J   Bradley Joan J   Breedon Joshua J   Brooke Judith J   Kreft Karim L KL   Tuite Dalton Katherine K   George Katila K   Papachatzaki Maria M   O'Malley Martin M   Peter Michelle M   Mattoscio Miriam M   Rhule Neisha N   Evangelou Nikos N   Vinod Nimisha N   Quinn Outi O   Shamji Ramya R   Kaimal Rashmi R   Boulton Rebecca R   Tanveer Riffat R   Middleton Rod R   Murray Roxanne R   Bellfield Ruth R   Hoque Sadid S   Patel Shakeelah S   Raj Sonia S   Gumus Stephanie S   Mitchell Stephanie S   Sawcer Stephen S   Arun Tarunya T   Pogreban Tatiana T   Brown Terri-Louise TL   Begum Thamanna T   Antoine Veronica V   Rashid Waqar W   Noyce Alastair J AJ   Silber Eli E   Morris Huw H   Giovannoni Gavin G   Dobson Ruth R  

BMJ open 20230517 5


<h4>Purpose</h4>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.<h4>Parti  ...[more]

Similar Datasets

| S-EPMC11920395 | biostudies-literature
| S-EPMC11080611 | biostudies-literature
| S-EPMC6511517 | biostudies-literature
| S-EPMC12790163 | biostudies-literature
2016-09-01 | GSE85999 | GEO
| S-EPMC12449821 | biostudies-literature
| S-EPMC4778957 | biostudies-literature
| S-EPMC8459476 | biostudies-literature