Novel loci and pathways significantly associated with longevity.
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Only two genome-wide significant loci associated with longevity have been identified so far, probably because of insufficient sample sizes of centenarians, whose genomes may harbor genetic variants associated with health and longevity. Here we report a genome-wide association study (GWAS) of Han Chinese with a sample size 2.7 times the largest previously published GWAS on centenarians. We identified 11 independent loci associated with longevity replicated in Southern-Northern regions of China, including two novel loci (rs2069837-IL6; rs2440012-ANKRD20A9P) with genome-wide significance and the rest with suggestive significance (P < 3.65 × 10(-5)). Eight independent SNPs overlapped across Han Chinese, European and U.S. populations, and APOE and 5q33.3 were replicated as longevity loci. Integrated analysis indicates four pathways (starch, sucrose and xenobiotic metabolism; immune response and inflammation; MAPK; calcium signaling) highly associated with longevity (P ≤ 0.006) in Han Chinese. The association with longevity of three of these four pathways (MAPK; immunity; calcium signaling) is supported by findings in other human cohorts. Our novel finding on the association of starch, sucrose and xenobiotic metabolism pathway with longevity is consistent with the previous results from Drosophilia. This study suggests protective mechanisms including immunity and nutrient metabolism and their interactions with environmental stress play key roles in human longevity.
Asian Continental Ancestry Group
Gene Regulatory Networks
Genome-Wide Association Study
Membrane Transport Proteins
Polymorphism, Single Nucleotide
Principal Component Analysis
Published Version (Please cite this version)10.1038/srep21243
Publication InfoZeng, Yi; Nie, Chao; Min, Junxia; Liu, Xiaomin; Li, Mengmeng; Chen, Huashuai; ... Vaupel, James W (2016). Novel loci and pathways significantly associated with longevity. Sci Rep, 6. pp. 21243. 10.1038/srep21243. Retrieved from https://hdl.handle.net/10161/14652.
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Assistant Professor of Neurology
Professor in Neurology
My principal area of research involves elucidating the molecular mechanisms underlying multi-factorial diseases. My lab is primarily interested identifying the complex genetic factors that give rise to multiple sclerosis (MS) and autism. We are using targeted approaches to identify differential methylation of the oxytocin receptor gene (OXTR) in individuals with autism, and applying these data to an NICHD funded ACE award, SOARS-B, to assess long term use of oxytocin nasal spray to improve so
Professor of Biostatistics and Bioinformatics
My research interests are focused on developing and applying statistical methods to search for genes causing common human diseases. Recent work has been in the development of statistical methods for genetic studies and in identifying optimal study designs for genetic studies of complex traits. As application of these methods to specific diseases has progressed it has become apparent that etiologic and genetic heterogeneity is a major stumbling block in the research for genes for common diseases.
John Franklin Crowell Distinguished Professor Emeritus of Sociology
I received my Ph.D. in sociology and mathematics from the University of Texas at Austin in 1969. After a year of postdoctoral study in mathematical statistics at Columbia University in New York City, I taught there and was a member of the staff of the Russell Sage Foundation for three years. I then was successively a member of the faculties of the University of Illinois at Urbana Champaign and the University of Texas at Austin before joining the Duke Sociology Department as Chairman in
Associate Professor in Neurology
Developing and using computational biology methods to understand the genetic basis of disease with a focus on Alzheimer’s Disease. Recent work has focused on identification and validation of clinically-relevant biomarkers for Alzheimer’s disease and Alzheimer’s disease with Lewy bodies.
Research Professor in the Sanford School of Public Policy
Research Professor in the Social Science Research Institute
Professor in Medicine
(1) Socioeconomic, behavior, environmental and genetic determinants of healthy aging and healthy longevity; (2) Factors related to elderly disability and mental health; (3) Methods of family households and elderly living arrangements forecasting/analysis and their applications in health services and socioeconomic planning, and market studies; (4) Policy analysis in population aging, social welfare, retirement, and fertility transitions.
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