Chunyu Liu, PhD
Research Associate Professor
Boston University School of Public Health
Dept of Biostatistics

PhD, Boston University
PhD, University of Maine
MA, Boston University



Chunyu Liu was trained as a statistical geneticist and has just moved from the Framingham Heart Study (FHS), NHLBI, to Boston University, assuming a position of a research associate professor. She has participated in numerous projects evaluating risk factors for cardiovascular disease (CVD). These collaborations have yielded >60 peer-reviewed manuscripts on diverse topics related to CVD, including deciphering genes related to blood pressure/hypertension, heart disease and identification of epigenetic factors for blood pressure, lipids, and body mass index. In addition, for eight years, Chunyu has taught statistical methods in epidemiology at Boston University School of Public Health.
Her research spans several areas. After she joined the Population Sciences Branch and FHS, she focused on mitochondrial DNA (mtDNA) genetics and CVD. During her tenure at the FHS, she was mentored by Dr. Daniel Levy, who encouraged Chunyu to develop the expertise in mtDNA genetics. Due to her expertise in analyzing mtDNA variants, she was the lead statistician of the mtDNA working group of the Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE), through which a manuscript has recently submitted to Nature Genetics. Mitochondrial genetics is complex because a single human cell contains many mtDNA copies bearing age-related somatic mutations mixed with inherited mtDNA alleles, a phenomenon called heteroplasmy. Heteroplasmic mutations can only be optimally detected by deep sequencing. Studying mtDNA copy number alone with a spectrum of mtDNA mutations in relation to age-related CMD traits in large samples has now become possible thanks to whole genome sequencing (WGS) through NHLBI’s TOPMed project. At present, Chunyu has been leading the effort to develop methods to analyze mtDNA sequence variations through the Trans-Omics for Precision Medicine (TOPMed) Mitochondrial DNA working group, the world’s largest study of mitochondrial genetics. Another of Chunyu's research areas has been focused on epigenetics and CVD. She was the lead statistician of the CHARGE DNA methylation alcohol working group during 2014-2017. In addition, she has been the lead statistician to conduct epigenomewide DNA association studies with many CVD risk factors in FHS, which has yielded multiple publications in higher tier journals.
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

  1. Aslibekyan S, Agha G, Colicino E, Do AN, Lahti J, Ligthart S, Marioni RE, Marzi C, Mendelson MM, Tanaka T, Wielscher M, Absher DM, Ferrucci L, Franco OH, Gieger C, Grallert H, Hernandez D, Huan T, Iurato S, Joehanes R, Just AC, Kunze S, Lin H, Liu C, Meigs JB, van Meurs JBJ, Moore AZ, Peters A, Prokisch H, Räikkönen K, Rathmann W, Roden M, Schramm K, Schwartz JD, Starr JM, Uitterlinden AG, Vokonas P, Waldenberger M, Yao C, Zhi D, Baccarelli AA, Bandinelli S, Deary IJ, Dehghan A, Eriksson J, Herder C, Jarvelin MR, Levy D, Arnett DK. Association of Methylation Signals With Incident Coronary Heart Disease in an Epigenome-Wide Assessment of Circulating Tumor Necrosis Factor a. JAMA Cardiol. 2018 Jun 01; 3(6):463-472.View Related Profiles. PMID: 29617535.
     
  2. Mendelson MM, Johannes R, Liu C, Huan T, Yao C, Miao X, Murabito JM, Dupuis J, Levy D, Benjamin EJ, Lin H. Epigenome-Wide Association Study of Soluble Tumor Necrosis Factor Receptor 2 Levels in the Framingham Heart Study. Front Pharmacol. 2018; 9:207.View Related Profiles. PMID: 29740313; DOI: 10.3389/fphar.2018.00207;.
     
  3. Ma J, Hennein R, Liu C, Long MT, Hoffmann U, Jacques PF, Lichtenstein AH, Hu FB, Levy D. Improved Diet Quality Associates With Reduction in Liver Fat, Particularly in Individuals With High Genetic Risk Scores for Nonalcoholic Fatty Liver Disease. Gastroenterology. 2018 07; 155(1):107-117.View Related Profiles. PMID: 29604292.
     
  4. Liu C, Fetterman JL, Liu P, Luo Y, Larson MG, Vasan RS, Zhu J, Levy D. Deep sequencing of the mitochondrial genome reveals common heteroplasmic sites in NADH dehydrogenase genes. Hum Genet. 2018 Mar; 137(3):203-213.View Related Profiles. PMID: 29423652; DOI: 10.1007/s00439-018-1873-4;.
     
  5. Marioni RE, McRae AF, Bressler J, Colicino E, Hannon E, Li S, Prada D, Smith JA, Trevisi L, Tsai PC, Vojinovic D, Simino J, Levy D, Liu C, Mendelson M, Satizabal CL, Yang Q, Jhun MA, Kardia SLR, Zhao W, Bandinelli S, Ferrucci L, Hernandez DG, Singleton AB, Harris SE, Starr JM, Kiel DP, McLean RR, Just AC, Schwartz J, Spiro A, Vokonas P, Amin N, Ikram MA, Uitterlinden AG, van Meurs JBJ, Spector TD, Steves C, Baccarelli AA, Bell JT, van Duijn CM, Fornage M, Hsu YH, Mill J, Mosley TH, Seshadri S, Deary IJ. Meta-analysis of epigenome-wide association studies of cognitive abilities. Mol Psychiatry. 2018 Jan 08.View Related Profiles. PMID: 29311653; DOI: 10.1038/s41380-017-0008-y;.
     
  6. Richard MA, Huan T, Ligthart S, Gondalia R, Jhun MA, Brody JA, Irvin MR, Marioni R, Shen J, Tsai PC, Montasser ME, Jia Y, Syme C, Salfati EL, Boerwinkle E, Guan W, Mosley TH, Bressler J, Morrison AC, Liu C, Mendelson MM, Uitterlinden AG, van Meurs JB, Franco OH, Zhang G, Li Y, Stewart JD, Bis JC, Psaty BM, Chen YI, Kardia SLR, Zhao W, Turner ST, Absher D, Aslibekyan S, Starr JM, McRae AF, Hou L, Just AC, Schwartz JD, Vokonas PS, Menni C, Spector TD, Shuldiner A, Damcott CM, Rotter JI, Palmas W, Liu Y, Paus T, Horvath S, O'Connell JR, Guo X, Pausova Z, Assimes TL, Sotoodehnia N, Smith JA, Arnett DK, Deary IJ, Baccarelli AA, Bell JT, Whitsel E, Dehghan A, Levy D, Fornage M. DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation. Am J Hum Genet. 2017 Dec 07; 101(6):888-902.View Related Profiles. PMID: 29198723.
     
  7. Chu AY, Tin A, Schlosser P, Ko YA, Qiu C, Yao C, Joehanes R, Grams ME, Liang L, Gluck CA, Liu C, Coresh J, Hwang SJ, Levy D, Boerwinkle E, Pankow JS, Yang Q, Fornage M, Fox CS, Susztak K, Köttgen A. Epigenome-wide association studies identify DNA methylation associated with kidney function. Nat Commun. 2017 Nov 03; 8(1):1286.View Related Profiles. PMID: 29097680.
     
  8. Mandaviya PR, Joehanes R, Aïssi D, Kühnel B, Marioni RE, Truong V, Stolk L, Beekman M, Bonder MJ, Franke L, Gieger C, Huan T, Ikram MA, Kunze S, Liang L, Lindemans J, Liu C, McRae AF, Mendelson MM, Müller-Nurasyid M, Peters A, Slagboom PE, Starr JM, Trégouët DA, Uitterlinden AG, van Greevenbroek MMJ, van Heemst D, van Iterson M, Wells PS, Yao C, Deary IJ, Gagnon F, Heijmans BT, Levy D, Morange PE, Waldenberger M, Heil SG, van Meurs JBJ. Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes. PLoS One. 2017; 12(10):e0182472. PMID: 29084233; DOI: 10.1371/journal.pone.0182472;.
     
  9. van der Spek A, Luik AI, Kocevska D, Liu C, Brouwer RWW, van Rooij JGJ, van den Hout MCGN, Kraaij R, Hofman A, Uitterlinden AG, van IJcken WFJ, Gottlieb DJ, Tiemeier H, van Duijn CM, Amin N. Exome-Wide Meta-Analysis Identifies Rare 3'-UTR Variant in ERCC1/CD3EAP Associated with Symptoms of Sleep Apnea. Front Genet. 2017; 8:151. PMID: 29093733; DOI: 10.3389/fgene.2017.00151;.
     
  10. Huan T, Chen G, Liu C, Bhattacharya A, Rong J, Chen BH, Seshadri S, Tanriverdi K, Freedman JE, Larson MG, Murabito JM, Levy D. Age-associated microRNA expression in human peripheral blood is associated with all-cause mortality and age-related traits. Aging Cell. 2018 Feb; 17(1).View Related Profiles. PMID: 29044988.
     
Showing 10 of 62 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 62 publications over 15 distinct years, with a maximum of 13 publications in 2017

YearPublications
20033
20041
20052
20063
20076
20082
20091
20112
20122
20132
20143
20157
201610
201713
20185
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Genomewide associaiton study, mitochondrial DNA, DNA methylation and cardiovascular disease
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