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Biology and Biochemistry

D-Index
72
Citations
27379
World Ranking
6151
National Ranking
2891

Research.com Recognitions

  • 2020 - Fellow of the American Statistical Association (ASA)

Overview

Ching-Ti Liu is affiliated with Boston University in the United States and has contributed extensively to research in the fields of biochemistry, genetics, molecular biology, and medicine. Their research spans various subfields including genetics, molecular biology, epidemiology, endocrinology, diabetes and metabolism, and public health. The scientist's work has focused on topics such as genetic associations and epidemiology, epigenetics and DNA methylation, bioinformatics and genomic networks, nutrition, genetics and disease, liver disease diagnosis and treatment, birth development and health, and genetic mapping and diversity in plants and animals.

Among the recent papers authored by Ching-Ti Liu are:

  • Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention, 2022, Nature Genetics
  • A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation, 2022, Nature Genetics
  • Small Dense Low-Density Lipoprotein Cholesterol Is the Most Atherogenic Lipoprotein Parameter in the Prospective Framingham Offspring Study, 2021, Journal of the American Heart Association
  • Comparison of Proteomic Assessment Methods in Multiple Cohort Studies, 2020, PROTEOMICS
  • Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability, 2021, Nature Communications

Frequent publication venues for Ching-Ti Liu include:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Circulation
  • Nature Communications
  • Atherosclerosis

Ching-Ti Liu has collaborated regularly with several co-authors, among whom are Xiuqing Guo, Jerome I. Rotter, Stephen S. Rich, Kent D. Taylor, and Jennifer A. Smith. These collaborations indicate an active involvement in multi-author research projects commonly found in genetics and medical research fields.

In 2020, Ching-Ti Liu received recognition as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

    Alisa K. Manning;Alisa K. Manning;Alisa K. Manning;Robert A. Scott;Jonna L. Grimsby

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

    Robert A. Scott;Laura J. Scott;Reedik Mägi;Letizia Marullo

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.

    Hou Feng Zheng;Vincenzo Forgetta;Yi Hsiang Hsu;Yi Hsiang Hsu;Karol Estrada

  • Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.

    A Giri;J N Hellwege;J M Keaton;J M Keaton;J Park

  • Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

    Valérie Turcot;Yingchang Lu;Yingchang Lu;Heather M Highland;Heather M Highland;Claudia Schurmann

  • Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

    Kyle J Gaulton;Kyle J Gaulton;Teresa Ferreira;Yeji Lee;Anne Raimondo

  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

    Eleanor Wheeler;Aaron Leong;Ching-Ti Liu;Marie-France Hivert

  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

    Anubha Mahajan;Jennifer Wessel;Sara M. Willems;Wei Zhao

  • Genome-wide Association Study in 79,366 European-ancestry Individuals Informs the Genetic Architecture of 25-Hydroxyvitamin D Levels

    Xia Jiang;Xia Jiang;Paul F. O'Reilly;Hugues Aschard;Hugues Aschard;Yi Hsiang Hsu;Yi Hsiang Hsu

  • Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study

    Elizabeth J Samelson;Kerry E Broe;Hanfei Xu;Laiji Yang

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk (vol 49, pg 403, 2017)

    HR Warren;E Evangelou;CP Cabrera;H Gao

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Bruce M. Psaty
Bruce M. Psaty University of Washington
James B. Meigs
James B. Meigs Harvard University
Josée Dupuis
Josée Dupuis McGill University
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Jose C. Florez
Jose C. Florez Harvard University
Xiuqing Guo
Xiuqing Guo Lundquist Institute
Daniel I. Chasman
Daniel I. Chasman Brigham and Women's Hospital
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam

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