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DOI 10.1038/s41588-024-01913-5

Медицинская библиотека · Nature genetics · 2024

Population-specific putative causal variants shape quantitative traits.

Koyama Satoshi, Liu Xiaoxi, Koike Yoshinao, Hikino Keiko, Koido Masaru, Li Wei, Akaki Kotaro, Tomizuka Kohei, Ito Shuji, Otomo Nao, Suetsugu Hiroyuki, Yoshino Soichiro, Akiyama Masato, Saito Kohei, Ishikawa Yuki, Benner Christian, Natarajan Pradeep, Ellinor Patrick T, Mushiroda Taisei, Horikoshi Momoko, Ikeda Masashi, Iwata Nakao, Matsuda Koichi, Biobank Japan Project, Niida Shumpei, Ozaki Kouichi, Momozawa Yukihide, Ikegawa Shiro, Takeuchi Osamu, Ito Kaoru, Terao Chikashi

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Аннотация

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 × 10-15 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.

Для цитирования: Koyama Satoshi, Liu Xiaoxi, Koike Yoshinao, Hikino Keiko, Koido Masaru, Li Wei, Akaki Kotaro, Tomizuka Kohei, Ito Shuji, Otomo Nao, Suetsugu Hiroyuki, Yoshino Soichiro, Akiyama Masato, Saito Kohei, Ishikawa Yuki, Benner Christian, Natarajan Pradeep, Ellinor Patrick T, Mushiroda Taisei, Horikoshi Momoko, Ikeda Masashi, Iwata Nakao, Matsuda Koichi, Biobank Japan Project, Niida Shumpei, Ozaki Kouichi, Momozawa Yukihide, Ikegawa Shiro, Takeuchi Osamu, Ito Kaoru, Terao Chikashi. Population-specific putative causal variants shape quantitative traits.. Nature genetics. 2024. DOI: 10.1038/s41588-024-01913-5.

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