生物
上位性
进化生物学
遗传学
特质
模式生物
遗传关联
数量性状位点
遗传变异
补语(音乐)
计算生物学
有机体
遗传模型
表型
候选基因
数量遗传学
错误发现率
全基因组关联研究
样本量测定
统计能力
脊椎动物
群体遗传学
近交系
人类遗传变异
统计模型
人类遗传学
关联映射
人类进化遗传学
加性遗传效应
作者
Bettina Welz,Saul Pierotti,Tomas Fitzgerald,Thomas Thumberger,Risa Suzuki,Philip Watson,Jana Fuss,Tiago Cordeiro da Trindade,Fanny Defranoux,Marcio Ferreira,Kiyoshi Naruse,Felix Loosli,Jakob Gierten,Joachim Wittbrodt,Ewan Birney
出处
期刊:Cell genomics
[Elsevier BV]
日期:2026-02-10
卷期号:6 (5): 101164-101164
被引量:2
标识
DOI:10.1016/j.xgen.2026.101164
摘要
Phenotypic variation arises from interactions between genetic and environmental factors, but disentangling these effects for complex traits remains challenging in observational cohorts like human biobanks. Model organisms with controlled genetic and environmental variation complement human studies in analyzing higher-order effects such as gene-by-environment (G×E) interactions, dominance, and epistasis. We utilized 76 medaka strains from the Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel to compare heart rate plasticity across temperatures. An F2 segregation analysis identified 16 quantitative trait loci (QTLs), many exhibiting dominance, G×E, G×G, and G×G×E interactions. We experimentally validated four candidate genes, revealing temperature-sensitive heart rate effects. Finally, we simulated how genome-wide association study (GWAS) discovery power depends on statistical model choice. Our results suggest that the limited detection of non-additive effects in human GWASs stems from current study designs and sample sizes. This work demonstrates the value of controlled model organism studies for dissecting complex trait genetics and informing association study design.
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