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.

Investigator
Framingham Heart Study


Member
Boston University
Evans Center for Interdisciplinary Biomedical Research




Mitochondrial DNA Copy number and Sequence Variation in Relation to Age, Metabolic traits, and Alzheimer's Disease Related Phenotypes
09/15/2018 - 05/31/2022 (Multi-PI)
PI: Chunyu Liu, PhD
NIH/National Institute on Aging
5R01AG059727-02

Mitochondrial heteroplasmy as an endophenotype of HIV-associated neurocognitive disorders
07/23/2019 - 04/30/2021 (Subcontract PI)
Cleveland Clinic Lerner College of Medicine/CWRU NIH NIMH
1R21MH121165-01

Association Analysis of Heteroplasmic mtDNA Mutations in Whole Genome Sequencing: Methods and Application to Cardiometabolic Disease Traits
02/04/2019 - 01/31/2021 (PI)
NIH/National Heart, Lung, and Blood Institute
1R21HL144877-01



Title


Yr Title Project-Sub Proj Pubs

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.

iCite Analysis       Copy PMIDs To Clipboard

  1. Lin H, Sardana M, Zhang Y, Liu C, Trinquart L, Benjamin EJ, Manders ES, Fusco K, Kornej J, Hammond MM, Spartano NL, Pathiravasan CH, Kheterpal V, Nowak C, Borrelli B, Murabito JM, McManus DD. Association of Habitual Physical Activity with Cardiovascular Disease Risk. Circ Res. 2020 Aug 26.View Related Profiles. PMID: 32842915; DOI: 10.1161/CIRCRESAHA.120.317578;
     
  2. De Oliveira CM, Tureck LV, Alvares D, Liu C, Horimoto ARVR, de Oliveira Alvim R, Krieger JE, Pereira AC. Cardiometabolic risk factors correlated with the incidence of dysglycaemia in a Brazilian normoglycaemic sample: the Baependi Heart Study cohort. Diabetol Metab Syndr. 2020; 12:6. PMID: 31956344; DOI: 10.1186/s13098-019-0512-0;
     
  3. Yousefi PD, Richmond R, Langdon R, Ness A, Liu C, Levy D, Relton C, Suderman M, Zuccolo L. Validation and characterisation of a DNA methylation alcohol biomarker across the life course. Clin Epigenetics. 2019 11 27; 11(1):163. PMID: 31775873; DOI: 10.1186/s13148-019-0753-7;
     
  4. Andersson C, Lin H, Liu C, Levy D, Mitchell GF, Larson MG, Vasan RS. Integrated Multiomics Approach to Identify Genetic Underpinnings of Heart Failure and Its Echocardiographic Precursors: Framingham Heart Study. Circ Genom Precis Med. 2019 12; 12(12):e002489.View Related Profiles. PMID: 31703168; DOI: 10.1161/CIRCGEN.118.002489;
     
  5. Huan T, Joehanes R, Song C, Peng F, Guo Y, Mendelson M, Yao C, Liu C, Ma J, Richard M, Agha G, Guan W, Almli LM, Conneely KN, Keefe J, Hwang SJ, Johnson AD, Fornage M, Liang L, Levy D. Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease. Nat Commun. 2019 09 19; 10(1):4267.View Related Profiles. PMID: 31537805
     
  6. Cardona A, Day FR, Perry JRB, Loh M, Chu AY, Lehne B, Paul DS, Lotta LA, Stewart ID, Kerrison ND, Scott RA, Khaw KT, Forouhi NG, Langenberg C, Liu C, Mendelson MM, Levy D, Beck S, Leslie RD, Dupuis J, Meigs JB, Kooner JS, Pihlajamäki J, Vaag A, Perfilyev A, Ling C, Hivert MF, Chambers JC, Wareham NJ, Ong KK. Epigenome-Wide Association Study of Incident Type 2 Diabetes in a British Population: EPIC-Norfolk Study. Diabetes. 2019 12; 68(12):2315-2326.View Related Profiles. PMID: 31506343
     
  7. Agha G, Mendelson MM, Ward-Caviness CK, Joehanes R, Huan T, Gondalia R, Salfati E, Brody JA, Fiorito G, Bressler J, Chen BH, Ligthart S, Guarrera S, Colicino E, Just AC, Wahl S, Gieger C, Vandiver AR, Tanaka T, Hernandez DG, Pilling LC, Singleton AB, Sacerdote C, Krogh V, Panico S, Tumino R, Li Y, Zhang G, Stewart JD, Floyd JS, Wiggins KL, Rotter JI, Multhaup M, Bakulski K, Horvath S, Tsao PS, Absher DM, Vokonas P, Hirschhorn J, Fallin MD, Liu C, Bandinelli S, Boerwinkle E, Dehghan A, Schwartz JD, Psaty BM, Feinberg AP, Hou L, Ferrucci L, Sotoodehnia N, Matullo G, Peters A, Fornage M, Assimes TL, Whitsel EA, Levy D, Baccarelli AA. Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease. Circulation. 2019 08 20; 140(8):645-657.View Related Profiles. PMID: 31424985
     
  8. Salinas J, Lin H, Aparico HJ, Huan T, Liu C, Rong J, Beiser A, Himali JJ, Freedman JE, Larson MG, Rosand J, Soreq H, Levy D, Seshadri S. Whole blood microRNA expression associated with stroke: Results from the Framingham Heart Study. PLoS One. 2019; 14(8):e0219261.View Related Profiles. PMID: 31393881; DOI: 10.1371/journal.pone.0219261;
     
  9. Evangelou E, Gao H, Chu C, Ntritsos G, Blakeley P, Butts AR, Pazoki R, Suzuki H, Koskeridis F, Yiorkas AM, Karaman I, Elliott J, Luo Q, Aeschbacher S, Bartz TM, Baumeister SE, Braund PS, Brown MR, Brody JA, Clarke TK, Dimou N, Faul JD, Homuth G, Jackson AU, Kentistou KA, Joshi PK, Lemaitre RN, Lind PA, Lyytikäinen LP, Mangino M, Milaneschi Y, Nelson CP, Nolte IM, Perälä MM, Polasek O, Porteous D, Ratliff SM, Smith JA, Stancáková A, Teumer A, Tuominen S, Thériault S, Vangipurapu J, Whitfield JB, Wood A, Yao J, Yu B, Zhao W, Arking DE, Auvinen J, Liu C, Männikkö M, Risch L, Rotter JI, Snieder H, Veijola J, Blakemore AI, Boehnke M, Campbell H, Conen D, Eriksson JG, Grabe HJ, Guo X, van der Harst P, Hartman CA, Hayward C, Heath AC, Jarvelin MR, Kähönen M, Kardia SLR, Kühne M, Kuusisto J, Laakso M, Lahti J, Lehtimäki T, McIntosh AM, Mohlke KL, Morrison AC, Martin NG, Oldehinkel AJ, Penninx BWJH, Psaty BM, Raitakari OT, Rudan I, Samani NJ, Scott LJ, Spector TD, Verweij N, Weir DR, Wilson JF, Levy D, Tzoulaki I, Bell JD, Matthews PM, Rothenfluh A, Desrivières S, Schumann G, Elliott P. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav. 2019 09; 3(9):950-961. PMID: 31358974; DOI: 10.1038/s41562-019-0653-z;
     
  10. Huan T, Mendelson M, Joehanes R, Yao C, Liu C, Song C, Bhattacharya A, Rong J, Tanriverdi K, Keefe J, Murabito JM, Courchesne P, Larson MG, Freedman JE, Levy D. Epigenome-wide association study of DNA methylation and microRNA expression highlights novel pathways for human complex traits. Epigenetics. 2020 Jan - Feb; 15(1-2):183-198.View Related Profiles. PMID: 31282290
     
Showing 10 of 85 results. Show More

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

Bar chart showing 85 publications over 17 distinct years, with a maximum of 14 publications in 2017

YearPublications
20033
20041
20052
20063
20076
20082
20091
20112
20122
20132
20143
20157
201610
201714
201813
201912
20202

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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715 Albany Street
Boston MA 02118
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