rs114590655 - TCP11

Magnitude 2.0 · 1 study on file

Reported associations

• Exploring the genetic architecture of multiple long-term conditions using a genome-wide association study in the UK Biobank population - Scientific reports (2025) · Nair ATN, Witham M, Sayer AA, Cordell HJ, Pearson ER · PubMed 41353206

  ABSTRACT: The prevalence of multiple long-term conditions (MLTC) is increasing. It is essential to develop strategies to prevent and manage MLTC; however, the biological mechanisms underlying MLTC are not yet clearly understood. We used UK Biobank data as part of the ADMISSION research collaborative to identify genetic drivers for MLTC. We used the UK Biobank (UKBB) self-reported illness data to characterise MLTC (defined as two or more long-term conditions) using 51 common disease labels. A genome-wide association study (GWAS) was conducted for MLTC and complex MLTC (complex MLTC was defined as having three or more diseases from the 51 self-reported diseases, with these three diseases additionally belonging to different body systems), and post-GWAS analyses were conducted to explore the g

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