Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites

被引:0
作者
Tao Long
Michael Hicks
Hung-Chun Yu
William H Biggs
Ewen F Kirkness
Cristina Menni
Jonas Zierer
Kerrin S Small
Massimo Mangino
Helen Messier
Suzanne Brewerton
Yaron Turpaz
Brad A Perkins
Anne M Evans
Luke A D Miller
Lining Guo
C Thomas Caskey
Nicholas J Schork
Chad Garner
Tim D Spector
J Craig Venter
Amalio Telenti
机构
[1] Human Longevity,Department of Twin Research and Genetic Epidemiology
[2] Inc.,undefined
[3] San Diego,undefined
[4] California,undefined
[5] USA,undefined
[6] King's College,undefined
[7] Health Nucleus,undefined
[8] Human Longevity Singapore,undefined
[9] Pte. Ltd.,undefined
[10] Metabolon,undefined
[11] Inc.,undefined
[12] Molecular and Human Genetics,undefined
[13] Baylor College of Medicine,undefined
[14] J. Craig Venter Institute,undefined
[15] Present address: Sanford Burnham Prebys Medical Discovery Institute,undefined
[16] La Jolla,undefined
[17] California,undefined
[18] USA.,undefined
来源
Nature Genetics | 2017年 / 49卷
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中图分类号
学科分类号
摘要
Amalio Telenti, Craig Venter and colleagues report common, low-frequency and rare variants associated with blood metabolite levels using whole-genome sequencing and comprehensive metabolite profiling in 1,960 individuals. They identify 246 metabolites whose levels are associated with genetic variation at 101 loci.
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页码:568 / 578
页数:10
相关论文
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