Population-specific putative causal variants shape quantitative traits.

doi:10.1038/s41588-024-01913-5

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Population-specific putative causal variants shape quantitative traits.

Nature genetics - 1 Oct 2024

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, Niida Shumpei, Ozaki Kouichi, Momozawa Yukihide, Ikegawa Shiro, Takeuchi Osamu, Ito Kaoru, Terao Chikashi

Abstract excerpt

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,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to 3' Untranslated Regions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to East Asian People

Share to Genetic Variation

Share to Genetics, Population

Share to Genome-Wide Association Study

Share to Japan

Share to Quantitative Trait Loci

Share to Ribonucleases

Source

Open in PubMed Open full text

Identifiers

PMID: 39363016
DOI: 10.1038/s41588-024-01913-5
PMCID: PMC11525193

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Population-specific putative causal variants shape quantitative traits.PMID 39363016Read ↗

Large scale genome-wide association study in a Japanese population identified 45 novel susceptibility loci for 22 diseasesSemantic proximity Read ↗

Genome-wide fine-mapping improves identification of causal variantsSemantic proximity Read ↗

Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals.Semantic proximity Read ↗

Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases.Semantic proximity Read ↗

Beyond GWAS: from simple associations to functional insights.Semantic proximity Read ↗

Genetic study of complex diseases in the post-GWAS era.Semantic proximity Read ↗

A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenomeSemantic proximity Read ↗

Fine-mapping causal tissues and genes at disease-associated lociSemantic proximity Read ↗

Identifying independent causal cell types for human diseases and risk variantsSemantic proximity Read ↗

Genome-wide fine-mapping improves identification of causal variantsSemantic proximity Read ↗

Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.Semantic proximity Read ↗

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.