Population-specific putative causal variants shape quantitative traits

Area of Science:

• Human genetics
• Genomic association studies
• Quantitative trait loci

Background:

• Human genetic variants influence traits through complex, often unknown, mechanisms.
• Large-scale genetic studies are crucial for understanding trait associations.
• Population-specific genetic architecture requires dedicated investigation.

Purpose of the Study:

• To identify significant genetic loci and putatively causal variants associated with quantitative traits in a Japanese population.
• To discover novel genetic associations and explore mechanisms of noncoding variants.
• To provide a resource of fine-mapped causal variants for functional validation.

Main Methods:

• Combined data from approximately 260,000 Japanese participants.
• Utilized a Japanese-specific genotype reference panel.
• Employed statistical fine-mapping techniques to identify causal variants.

Main Results:

• Identified 4,423 significant loci across 63 quantitative traits, including 601 novel associations.
• Discovered 9,406 putatively causal variants, encompassing coding, splicing, and noncoding types.
• Found Japanese-specific variants, such as rs730881101 in TNNT2 (heart function) and rs13306436 in IL6 (inflammation, tuberculosis resistance).
• Demonstrated that noncoding variants, including those in 3' UTRs, can have significant effects and novel mechanisms, like rs13306436 conferring resistance to mRNA degradation.

Conclusions:

• This study provides a comprehensive map of genetic associations in a large Japanese cohort.
• It highlights the importance of population-specific genetic studies and fine-mapping for variant discovery.
• The findings offer a valuable list of candidate causal variants for functional studies and reveal new mechanisms for genetic trait determination.