Dissecting the Genetic Architecture of Cystatin C in Diversity Outbred Mice

Author:

Huda M Nazmul12ORCID,VerHague Melissa3,Albright Jody4,Smallwood Tangi4,Bell Timothy A4,Que Excel1,Miller Darla R4,Roshanravan Baback5,Allayee Hooman6,Manuel de Villena Fernando Pardo4ORCID,Bennett Brian J12

Affiliation:

1. Obesity and Metabolism Research Unit, Western Human Nutrition Research Center, USDA, ARS, Davis, California 95616

2. Department of Nutrition, University of California Davis, California 95616

3. Nutrition Research Institute, University of North Carolina Kannapolis, North Carolina 28081

4. Department of Genetics, University of North Carolina at Chapel Hill, North Carolina 27599

5. Department of Medicine, Division of Nephrology, University of California, Davis, Davis, California 95616, and

6. Departments of Preventive Medicine and Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles California 90033

Abstract

Abstract Plasma concentration of Cystatin C (CysC) level is a biomarker of glomerular filtration rate in the kidney. We use a Systems Genetics approach to investigate the genetic determinants of plasma CysC concentration. To do so we perform Quantitative Trait Loci (QTL) and expression QTL (eQTL) analysis of 120 Diversity Outbred (DO) female mice, 56 weeks of age. We performed network analysis of kidney gene expression to determine if the gene modules with common functions are associated with kidney biomarkers of chronic kidney diseases. Our data demonstrates that plasma concentrations and kidney mRNA levels of CysC are associated with genetic variation and are transcriptionally coregulated by immune genes. Specifically, Type-I interferon signaling genes are coexpressed with Cst3 mRNA levels and associated with CysC concentrations in plasma. Our findings demonstrate the complex control of CysC by genetic polymorphisms and inflammatory pathways.

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

Reference59 articles.

1. Genetic analysis of complex traits in the emerging Collaborative Cross.;Aylor;Genome Res.,2011

2. Controlling the false discovery rate: a practical and powerful approach to multiple testing.;Benjamini;J. R. Stat. Soc. B,1995

3. Trimethylamine-N-oxide, a metabolite associated with atherosclerosis, exhibits complex genetic and dietary regulation.;Bennett;Cell Metab.,2013

4. A high-resolution association mapping panel for the dissection of complex traits in mice.;Bennett;Genome Res.,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3