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Population-specific putative causal variants shape quantitative traits. | LitMetric

AI Article Synopsis

  • Human genetic variants influence various traits, but the underlying mechanisms are still largely unclear.
  • By studying around 260,000 Japanese participants and using a specific genotype reference panel, researchers identified over 4,400 significant genetic loci linked to 63 traits, with many being novel findings.
  • The study highlighted the role of noncoding variants, particularly in untranslated regions, and emphasized the importance of genetic research in diverse populations to uncover functional variants and their impacts.

Article Abstract

Human genetic variants are associated with many traits through largely unknown mechanisms. Here, combining approximately 260,000 Japanese study participants, a Japanese-specific genotype reference panel and statistical fine-mapping, we identified 4,423 significant loci across 63 quantitative traits, among which 601 were new, and 9,406 putatively causal variants. New associations included Japanese-specific coding, splicing and noncoding variants, exemplified by a damaging missense variant rs730881101 in TNNT2 associated with lower heart function and increased risk for heart failure (P = 1.4 × 10 and odds ratio = 4.5, 95% confidence interval = 3.1-6.5). Putative causal noncoding variants were supported by state-of-art in silico functional assays and had comparable effect sizes to coding variants. A plausible example of new mechanisms of causal variants is an enrichment of causal variants in 3' untranslated regions (UTRs), including the Japanese-specific rs13306436 in IL6 associated with pro-inflammatory traits and protection against tuberculosis. We experimentally showed that transcripts with rs13306436 are resistant to mRNA degradation by regnase-1, an RNA-binding protein. Our study provides a list of fine-mapped causal variants to be tested for functionality and underscores the importance of sequencing, genotyping and association efforts in diverse populations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525193PMC
http://dx.doi.org/10.1038/s41588-024-01913-5DOI Listing

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