Article
Graph statistics theory of individualized quantitative genetics under haplotype-resolved genome assembly.
Proceedings of the National Academy of Sciences of the United States of America - 7 Apr 2026
Sun Lidan, Bian Yangyang, Yang Dengcheng, Miao Runtian, Meng Yihan, Che Jincan, Li Ziwei, Li Zimo, Wang Haoning, Wu Shuang, Meng Juan, Wang Yu, Griffin Christopher, Yau Shing-Tung, Wu Rongling
Abstract excerpt
Quantitative genetics is essential for genetic dissection of complex traits, yet the existing theory fails to illustrate a comprehensive landscape of genetic control mechanisms driving phenotypic variation and evolution. Here, we develop a statistical approach to assemble all genome loci into omnigenic interactome networks from diplotyped sequencing data. Such networks can not only capture dominance, epistasis,...
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