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Prioritizing natural-selection signals from the deep-sequencing genomic data suggests multi-variant adaptation in Tibetan highlanders
Authors:Lian Deng  Chao Zhang  Kai Yuan  Yang Gao  Yuwen Pan  Xueling Ge  Yaoxi He  Yuan Yuan  Yan Lu  Xiaoxi Zhang  Hao Chen  Haiyi Lou  Xiaoji Wang  Dongsheng Lu  Jiaojiao Liu  Lei Tian  Qidi Feng  Asifullah Khan  Yajun Yang  Zi-Bing Jin  Jian Yang  Fan Lu  Jia Qu  Longli Kang  Bing Su  Shuhua Xu
Abstract:Human genetic adaptation to high altitudes (>2500 m) has been extensively studied over the last few years, but few functional adaptive genetic variants have been identified, largely owing to the lack of deep-genome sequencing data available to previous studies. Here, we build a list of putative adaptive variants, including 63 missense, 7 loss-of-function, 1,298 evolutionarily conserved variants and 509 expression quantitative traits loci. Notably, the top signal of selection is located in TMEM247, a transmembrane protein-coding gene. The Tibetan version of TMEM247 harbors one high-frequency (76.3%) missense variant, rs116983452 (c.248C > T; p.Ala83Val), with the T allele derived from archaic ancestry and carried by >94% of Tibetans but absent or in low frequencies (<3%) in non-Tibetan populations. The rs116983452-T is strongly and positively correlated with altitude and significantly associated with reduced hemoglobin concentration (p = 5.78 × 10−5), red blood cell count (p = 5.72 × 10−7) and hematocrit (p = 2.57 × 10−6). In particular, TMEM247-rs116983452 shows greater effect size and better predicts the phenotypic outcome than any EPAS1 variants in association with adaptive traits in Tibetans. Modeling the interaction between TMEM247-rs116983452 and EPAS1 variants indicates weak but statistically significant epistatic effects. Our results support that multiple variants may jointly deliver the fitness of the Tibetans on the plateau, where a complex model is needed to elucidate the adaptive evolution mechanism.
Keywords:Tibetan  adaptive genetic variant  high-altitude adaptation  next-generation sequencing (NGS)  archaic ancestry  expression quantitative traits loci (eQTL)  tissue-specific expression  hemoglobin concentration  hypoxia
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