Genetic risk is the earliest measurable contributor to diseases such as type 1 diabetes (T1D). Multiple groups have demonstrated that genetic (or polygenic) risk scores can quantify individual disease risks in a clinically significant way for complex diseases such as T1D. To date, genetic studies of T1D have been conducted primarily in European-ancestry populations and have identified over 40 susceptibility regions. Genetic risk estimates for T1D have been predominantly calculated from these findings. At the same time, there is also strong evidence that there are limitations in transferability of risk estimates from European-ancestry populations to African ancestry populations. Thus, establishing a better understanding of the genetic architecture of T1D in different populations is critical for appropriate applications of risk scores and eliminating health disparities. Aiming to close this gap in knowledge, we conducted the largest T1D association study in African-ancestry participants to date. Single nucleotide polymorphisms (SNPs) in the 12q13.2 region were associated with T1D in European- and African-ancestry populations. We used comparative mapping in the 12q13.2 region to fine-map this physically large and gene-rich T1D risk locus coupled with functional studies. Twelve SNPs (of 22 previously identified European credible SNPs) were nominally (P < 10-4) associated with T1D in African-ancestry populations. Using bioinformatics and ENCODE data, we identified four putative candidate causal SNPs. Using functional assay...
Genetic Risk Type 1 Diabetes Single Nucleotide Polymorphisms African-ancestry Populations European-ancestry Populations Eliminating Health Disparities Limitations In Transferability African Ancestry Biological Influence Putative Single Nucleotide Polymorphisms
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Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.
Climate change Research Articles published between Nov 21, 2022 to Nov 27, 2022
Nov 28, 2022
Articles Included: 2
No potential conflict of interest was reported by the authors. The conception and design of the study, acquisition of data, analysis and interpretatio...Read More
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