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How understudied populations have contributed to our understanding of Alzheimer's disease genetics. | LitMetric

AI Article Synopsis

  • Most genome-wide association studies (GWAS) have mainly focused on individuals of European descent, highlighting a need for better representation of diverse populations in genetic research.
  • One of the biggest challenges in these studies is obtaining large sample sizes necessary to detect variants linked to diseases, particularly those with low frequencies.
  • This review emphasizes the importance of studying Alzheimer's disease in various global populations, showing that research on understudied groups can reveal novel genetic factors and lead to more inclusive and applicable health findings.

Article Abstract

The majority of genome-wide association studies have been conducted using samples with a broadly European genetic background. As a field, we acknowledge this limitation and the need to increase the diversity of populations studied. A major challenge when designing and conducting such studies is to assimilate large samples sizes so that we attain enough statistical power to detect variants associated with disease, particularly when trying to identify variants with low and rare minor allele frequencies. In this review, we aimed to illustrate the benefits to genetic characterization of Alzheimer's disease, in researching currently understudied populations. This is important for both fair representation of world populations and the translatability of findings. To that end, we conducted a literature search to understand the contributions of studies, on different populations, to Alzheimer's disease genetics. Using both PubMed and Alzforum Mutation Database, we systematically quantified the number of studies reporting variants in known disease-causing genes, in a worldwide manner, and discuss the contributions of research in understudied populations to the identification of novel genetic factors in this disease. Additionally, we compared the effects of genome-wide significant single nucleotide polymorphisms across populations by focusing on loci that show different association profiles between populations (a key example being APOE). Reports of variants in APP, PSEN1 and PSEN2 can initially determine whether patients from a country have been studied for Alzheimer's disease genetics. Most genome-wide significant associations in non-Hispanic white genome-wide association studies do not reach genome-wide significance in such studies of other populations, with some suggesting an opposite effect direction; this is likely due to much smaller sample sizes attained. There are, however, genome-wide significant associations first identified in understudied populations which have yet to be replicated. Familial studies in understudied populations have identified rare, high effect variants, which have been replicated in other populations. This work functions to both highlight how understudied populations have furthered our understanding of Alzheimer's disease genetics, and to help us gauge our progress in understanding the genetic architecture of this disease in all populations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105043PMC
http://dx.doi.org/10.1093/brain/awab028DOI Listing

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