Yun Li

ORCID: 0000-0002-9275-4189
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Epigenetics and DNA Methylation
  • Genomics and Chromatin Dynamics
  • Genetic Mapping and Diversity in Plants and Animals
  • Genomics and Rare Diseases
  • Single-cell and spatial transcriptomics
  • Genetic and phenotypic traits in livestock
  • RNA modifications and cancer
  • Genomic variations and chromosomal abnormalities
  • Gene expression and cancer classification
  • Cancer-related molecular mechanisms research
  • Bioinformatics and Genomic Networks
  • Birth, Development, and Health
  • RNA Research and Splicing
  • Cancer Genomics and Diagnostics
  • Hemoglobinopathies and Related Disorders
  • RNA and protein synthesis mechanisms
  • Chromosomal and Genetic Variations
  • Nutrition, Genetics, and Disease
  • Blood groups and transfusion
  • Cancer-related gene regulation
  • Genomics and Phylogenetic Studies
  • Adipokines, Inflammation, and Metabolic Diseases
  • Liver Disease Diagnosis and Treatment
  • Monoclonal and Polyclonal Antibodies Research

University of North Carolina at Chapel Hill
2016-2025

Ocean University of China
2018-2025

Capital Medical University
2020-2025

Henan Normal University
2025

Beijing Tongren Hospital
2025

First Affiliated Hospital of Zhengzhou University
2024

People's Liberation Army No. 150 Hospital
2024

Northwest A&F University
2024

Chinese People's Liberation Army
2024

Soochow University
2013-2024

Identifying the genetic variants that increase risk of type 2 diabetes (T2D) in humans has been a formidable challenge. Adopting genome-wide association strategy, we genotyped 1161 Finnish T2D cases and 1174 normal glucose-tolerant (NGT) controls with >315,000 single-nucleotide polymorphisms (SNPs) imputed genotypes for an additional >2 million autosomal SNPs. We carried out analysis these SNPs to identify predispose T2D, compared our results two similar studies, 80 1215 1258 NGT controls....

10.1126/science.1142382 article EN Science 2007-04-27

Identifying reliable biomarkers of aging is a major goal in geroscience.While the first generation epigenetic were developed using chronological age as surrogate for biological age, we hypothesized that incorporation composite clinical measures phenotypic capture differences lifespan and healthspan may identify novel CpGs facilitate development more powerful biomarker

10.18632/aging.101414 article EN cc-by Aging 2018-04-18

Abstract Genome‐wide association studies (GWAS) can identify common alleles that contribute to complex disease susceptibility. Despite the large number of SNPs assessed in each study, effects most must be evaluated indirectly using either genotyped markers or haplotypes thereof as proxies. We have previously implemented a computationally efficient Markov Chain framework for genotype imputation and haplotyping freely available MaCH software package. The approach describes sampled chromosomes...

10.1002/gepi.20533 article EN Genetic Epidemiology 2010-11-05

It was unknown whether plasma protein levels can be estimated based on DNA methylation (DNAm) levels, and if so, how the resulting surrogates consolidated into a powerful predictor of lifespan. We present here, seven DNAm-based estimators proteins including those plasminogen activator inhibitor 1 (PAI-1) growth differentiation factor 15. The lifespan, DNAm GrimAge (in units years), is composite biomarker estimator smoking pack-years. Adjusting for chronological age generated novel measure...

10.18632/aging.101684 article EN cc-by Aging 2019-01-21

Rare genetic variants contribute to complex disease risk; however, the abundance of rare in human populations remains unknown. We explored this spectrum variation by sequencing 202 genes encoding drug targets 14,002 individuals. find are abundant (1 every 17 bases) and geographically localized, so that even with large sample sizes, variant catalogs will be largely incomplete. used observed patterns estimate population growth parameters, proportion a given frequency class putatively...

10.1126/science.1217876 article EN Science 2012-05-18

Aging | doi:10.18632/aging.101168. Austin Quach, Morgan E. Levine, Toshiko Tanaka, Ake T. Lu, Brian H. Chen, Luigi Ferrucci, Beate Ritz, Stefania Bandinelli, Marian L. Neuhouser, Jeannette M. Beasley, Linda Snetselaar, Robert B. Wallace, Philip S. Tsao, Devin Absher, Themistocles Assimes, James D. Stewart, Yun Li, Lifang Hou, Andrea A. Baccarelli, Eric Whitsel, Steve Horvath

10.18632/aging.101168 article EN cc-by Aging 2017-02-14

DNA methylation (DNAm)-based biomarkers of aging have been developed for many tissues and organs. However, these sub-optimal accuracy in fibroblasts other cell types used ex vivo studies. To address this challenge, we a novel highly robust DNAm age estimator (based on 391 CpGs) human fibroblasts, keratinocytes, buccal cells, endothelial lymphoblastoid skin, blood, saliva samples. High correlations can also be observed sorted neurons, glia, brain, liver, even bone Gestational correlates with...

10.18632/aging.101508 article EN cc-by Aging 2018-07-26
John C. Chambers Wei Zhang Joban Sehmi Man Li Mark N. Wass and 95 more Pim van der Harst Hilma Hólm Serena Sanna Maryam Kavousi Sebastian E. Baumeister Lachlan Coin Guohong Deng Christian Gieger Nancy L. Heard‐Costa Jouke‐Jan Hottenga Brigitte Kühnel Vinod Kumar Vasiliki Lagou Liming Liang Jian'an Luan Pedro Marques‐Vidal Irene Mateo Leach Paul F. O’Reilly John F. Peden Nilüfer Rahmioğlu Pasi Soininen Elizabeth K. Speliotes Xin Yuan Guðmar Þorleifsson Behrooz Z. Alizadeh Larry D. Atwood Ingrid B. Borecki Matthew A. Brown Pimphen Charoen Francesco Cucca Debashish Das Eco J. C. de Geus Anna Dixon Angela Döring Georg Ehret Guðmundur I. Eyjólfsson Martin Farrall Nita G. Forouhi Nele Friedrich Wolfram Goessling Daníel F. Guðbjartsson Tamara B. Harris Anna‐Liisa Hartikainen Simon Heath Gideon M. Hirschfield Albert Hofman Georg Homuth Elina Hyppönen Harry L.A. Janssen Toby Johnson Antti J. Kangas Ido P. Kema Jens‐Peter Kühn Sandra Lai Mark Lathrop Markus M. Lerch Yun Li T. Jake Liang Jing‐Ping Lin Ruth J. F. Loos Nicholas G. Martin Miriam F. Moffatt Grant W. Montgomery Patricia B. Munroe Yan V. Sun Yusuke Nakamura Christopher J. O’Donnell Isleifur Olafsson Brenda W.J.H. Penninx Anneli Pouta Bram P. Prins Inga Prokopenko Ralf Puls Aimo Ruokonen Markku J. Savolainen David Schlessinger Jeoffrey Schouten Udo Seedorf Srijita Sen‐Chowdhry Katherine A. Siminovitch Johannes H. Smit Timothy D Spector Wenting Tan Tanya M. Teslovich Taru Tukiainen André G. Uitterlinden Melanie M. van der Klauw Ramachandran S. Vasan Chris Wallace Henri Wallaschofski H‐Erich Wichmann Gonneke Willemsen Peter Würtz Chun Xu Laura M. Yerges‐Armstrong

10.1038/ng.970 article EN Nature Genetics 2011-10-16

Obesity is an important component of the pathophysiology chronic diseases. Identifying epigenetic modifications associated with elevated adiposity, including DNA methylation variation, may point to genomic pathways that are dysregulated in numerous conditions. The Illumina 450K Bead Chip array was used assay leukocyte obtained from 2097 African American adults Atherosclerosis Risk Communities (ARIC) study. Mixed-effects regression models were test association beta value concurrent body mass...

10.1093/hmg/ddv161 article EN cc-by Human Molecular Genetics 2015-05-01

New sequencing technologies allow genomic variation to be surveyed in much greater detail than previously possible. While detailed analysis of a single individual typically requires deep sequencing, when many individuals are sequenced it is possible combine shallow sequence data across generate accurate calls shared stretches chromosome. Here, we show that, as progressively larger numbers sequenced, increasingly genotype can generated for given depth. We evaluate the implications...

10.1101/gr.117259.110 article EN cc-by-nc Genome Research 2011-04-01

Telomere length (TL) is associated with several aging-related diseases.Here, we present a DNA methylation estimator of TL (DNAmTL) based on 140 CpGs.Leukocyte DNAmTL applicable across the entire age spectrum and more strongly than measured leukocyte (LTL) (r ~-0.75 for versus r ~ -0.35 LTL).Leukocyte outperforms LTL in predicting: i) time-to-death (p=2.5E-20),ii) time-tocoronary heart disease (p=6.6E-5),iii) time-to-congestive failure (p=3.5E-6), iv) association smoking history...

10.18632/aging.102173 article EN cc-by Aging 2019-08-18

Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, genetic populations Hispanic/Latino African ancestry are limited. In addition, these more complex linkage disequilibrium structure. order better define the architecture understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program impute...

10.1371/journal.pgen.1008500 article EN public-domain PLoS Genetics 2019-12-23
Coming Soon ...