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论文题目: EDARV370A associated facial characteristics in Uyghur population revealing further pleiotropic effects
英文论文题目: EDARV370A associated facial characteristics in Uyghur population revealing further pleiotropic effects
第一作者: Peng, QQ; Li, JX; Tan, JZ; Yang, YJ; Zhang, MF; Wu, SJ; Liu, Y; Zhang, J; Qin, PF; Guan, YQ; Jiao, Y; Zhang, ZX; Sabeti, PC; Tang, K; Xu, SH; Jin, L; Wang, SJ
英文第一作者: Peng, QQ; Li, JX; Tan, JZ; Yang, YJ; Zhang, MF; Wu, SJ; Liu, Y; Zhang, J; Qin, PF; Guan, YQ; Jiao, Y; Zhang, ZX; Sabeti, PC; Tang, K; Xu, SH; Jin, L; Wang, SJ
联系作者: Jin, L (reprint author), Chinese Acad Sci, Shanghai Inst Biol Sci, Max Planck Partner Inst Computat Biol, Key Lab Computat Biol, 320 Yue Yang Rd, Shanghai 200031, Peoples R China.
英文联系作者: Jin, L (reprint author), Chinese Acad Sci, Shanghai Inst Biol Sci, Max Planck Partner Inst Computat Biol, Key Lab Computat Biol, 320 Yue Yang Rd, Shanghai 200031, Peoples R China.
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发表年度: 2016
卷: 135
期: 1
页码: 99-108
摘要: An adaptive variant of human Ectodysplasin receptor, EDARV370A, had undergone strong positive selection in East Asia. In mice and humans, EDARV370A was found to affect ectodermal-derived characteristics, including hair thickness, hair shape, active sweat gland density and teeth formation. Facial characteristics are also largely ectodermal derived. In this study, taking advantage of an admixed population of East Asian and European ancestry-the Uyghur, we aim to test whether EDARV370A is affecting facial characteristics and to investigate its pleiotropic nature and genetic model. In a sample of 1027 Uyghurs, we discover that EDARV370A is significantly associated with several facial characteristics, in particular shape of earlobe (P = 3.64 x 10 (-6) ) and type of chin (P = 9.23 x 10 (-5) ), with successful replication in other East Asian populations. Additionally, in this Uyghur population, we replicate previous association findings of incisors shoveling (P = 1.02 x 10 (-7) ), double incisors shoveling (P = 1.86 x 10 (-12) ) and hair straightness (P = 3.99 x 10 (-16) ), providing strong evidence supporting an additive model for the EDARV370A associations. Partial least square path model confirms EDARV370A systematically affect these weakly related ectodermal-derived characteristics, suggesting the pleiotropic effect of EDARV370A mainly plays roles in early embryo development. This study extends our knowledge about the pleiotropic nature of EDARV370A and provides potential clues to its adaptation fitness in human evolution.
英文摘要: An adaptive variant of human Ectodysplasin receptor, EDARV370A, had undergone strong positive selection in East Asia. In mice and humans, EDARV370A was found to affect ectodermal-derived characteristics, including hair thickness, hair shape, active sweat gland density and teeth formation. Facial characteristics are also largely ectodermal derived. In this study, taking advantage of an admixed population of East Asian and European ancestry-the Uyghur, we aim to test whether EDARV370A is affecting facial characteristics and to investigate its pleiotropic nature and genetic model. In a sample of 1027 Uyghurs, we discover that EDARV370A is significantly associated with several facial characteristics, in particular shape of earlobe (P = 3.64 x 10 (-6) ) and type of chin (P = 9.23 x 10 (-5) ), with successful replication in other East Asian populations. Additionally, in this Uyghur population, we replicate previous association findings of incisors shoveling (P = 1.02 x 10 (-7) ), double incisors shoveling (P = 1.86 x 10 (-12) ) and hair straightness (P = 3.99 x 10 (-16) ), providing strong evidence supporting an additive model for the EDARV370A associations. Partial least square path model confirms EDARV370A systematically affect these weakly related ectodermal-derived characteristics, suggesting the pleiotropic effect of EDARV370A mainly plays roles in early embryo development. This study extends our knowledge about the pleiotropic nature of EDARV370A and provides potential clues to its adaptation fitness in human evolution.
刊物名称: HUMAN GENETICS
英文刊物名称: HUMAN GENETICS
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学科: Genetics & Heredity
英文学科: Genetics & Heredity
影响因子: 4.637
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论文类别: Article
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