Ching-Ti Liu, PhD
Professor
Boston University School of Public Health
Biostatistics

PhD, University of California, Los Angeles
MS, University of California, Los Angeles
MS, National Central University
BS, National Central University



Dr. Liu's research interest mainly focuses on the development of statistical and computational approaches for genetics/genomics and bioinformatics studies. He also collaborates as a statistician or statistical geneticist on projects studying complex diseases such as diabetes, obesity, musculoskeletal disorder, and cancer. Dr. Liu has more than 10-year experience working on Framingham Heart Study (FHS) as a biostatistician collaborating on various projects. Dr. Liu has also functioned as a collaborator on traditional epidemiological, biomedical or basic science research beyond FHS. In addition, Dr. Liu has been actively engaged in several international collaborative consortia for the analysis of genetics and genomics data.

Investigator
Framingham Heart Study




A Multi-Ancestry Study of Gene-Lifestyle Interactions and Multi-Omics in Cardiometabolic Traits
04/27/2021 - 03/31/2027 (Subcontract PI)
The Washington University NIH NHLBI
5R01HL156991-04

Clinical Utility of Small Dense Low-Density Lipoprotein (sdLDL-C) and Lipoprotein(a) [Lp(a)] Measurements in the Prediction of Atherosclerotic Cardiovascular Disease, Coronary Heart Disease
09/02/2025 - 08/31/2026 (PI)
Dyslipidemia Foundation LLC


Novel Molecular Biomarkers of Bone Microarchitecture
04/01/2021 - 03/31/2026 (Subcontract PI)
Hebrew Rehabilitation Center NIH NIAMS
5R01AR041398-30

TOPMed Omics of Type 2 Diabetes and Quantitative Traits
01/01/2021 - 12/31/2025 (Subcontract PI)
Massachusetts General Hospital NIH NIDDK
5UM1DK078616-17

Vascular mechanisms underlying skeletal fragility in older Adults
12/15/2020 - 11/30/2025 (Subcontract PI)
Hebrew Rehabilitation Center NIH NIA
5R01AG065299-05

Integrative Approaches to Identifying Function and Clinical Significance of Adiposity Susceptibility Genes
09/22/2020 - 07/31/2025 (Subcontract PI)
University of North Carolina at Chapel Hill NIH NIDDK
5R01DK122503-05

TOPMed Omics of Cardiovascular Disease in Diabetes
07/01/2020 - 06/30/2025 (Subcontract PI)
Massachusetts General Hospital NIH NHLBI
5R01HL151855-04

Assessing the role and importance of race and ethnicity in the clinical algorithm for predicting ASCVD
04/01/2024 - 03/31/2025 (Key Person / Mentor)
American Heart Association


Identifying osteoporosis genes by whole genome sequencing and functional validation in Zebra Fish
09/01/2017 - 07/31/2023 (Subcontract PI)
Hebrew SeniorLife NIH NIAMS
5R01AR072199-05

TOPMed Contribution to the AMP-T2D Knowledge Portal
04/01/2019 - 05/31/2021 (PI)
Foundation for the National Institutes of Health


Showing 10 of 17 results. Show All Results


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. Yang T, Wang Y, Zhou Z, Liu CT. engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection. ArXiv. 2026 Jan 20. PMID: 41647208; PMCID: PMC12869420
     
  2. Cuellar-Lobo M, Gao M, Ruda MM, Prescott B, Xanthakis V, Benjamin EJ, Cheng S, Vasan RS, Liu CT, Tsao CW. Association of Cardiovascular Health and Genetic Risk for Left Ventricular Mass with Left Ventricular Structure, Function, and Incident Cardiovascular Outcomes. medRxiv. 2026 Jan 09.View Related Profiles. PMID: 41542664; PMCID: PMC12803396; DOI: 10.64898/2026.01.07.26343640;
     
  3. Wang N, Zhang Y, Schroeder P, Huerta-Chagoya A, Mandla R, Meigs JB, Manning AK, Liu CT, Dupuis J, Mercader JM. Evaluation of Sex-Stratified Polygenic Risk Scores for Type 2 Diabetes Mellitus and Glycemic Traits in the Framingham Heart Study. Diabetes Metab J. 2025 Dec 09.View Related Profiles. PMID: 41360390; DOI: 10.4093/dmj.2025.0557;
     
  4. Haff MG, Murabito JM, Vasan RS, Spartano NL, Liu CT, Zhang X, Benjamin EJ, Lewis GD, Long MT. Physical Activity by Accelerometer Inversely Associated With Liver Fibrosis; Cross-Sectional Analysis of a Longitudinal Cohort. Liver Int. 2025 Nov; 45(11):e70380.View Related Profiles. PMID: 41055309; DOI: 10.1111/liv.70380;
     
  5. Xu C, Bhurosy T, Liu CT, Lee YH. Ten-year dietary trends and urban-rural disparities in fruit, vegetable, meat, egg, and milk products consumption among older Chinese adults. Nutr Diet. 2026 Apr; 83(2):267-280. PMID: 41164909
     
  6. Zhang M, Tang J, Brown MR, Morrison AC, Boerwinkle E, Manning AK, Liu CT, Chen H. Robust Mixed Model Association Test for Gene-Environment Interactions. medRxiv. 2025 Oct 03. PMID: 41256107; PMCID: PMC12622116; DOI: 10.1101/2025.10.01.25336808;
     
  7. Krishnan M, Anwar MY, Justice AE, Chittoor G, Chen HH, Roshani R, Scartozzi A, Dickerson RR, Smit RAJ, Preuss MH, Chami N, Hadad BS, Parra EJ, Cruz M, Hui Q, Wilson PWF, Sun YV, Zhang X, Linchangco GV, Kardia SLR, Faul JD, Weir DR, Bielak LF, Highland HM, Young KL, Qi B, Wang Y, Fornage M, Haiman C, Cheng I, Peters U, Kooperberg C, Buyske S, McCormick JB, Fisher-Hoch SP, Lona-Durazo F, Peralta J, Gomez-Zamudio J, Rich SS, Ferrier KR, Lange EM, Gignoux CR, Kenny EE, Wojcik GL, Cho K, Gaziano MJ, Djousse L, Liu S, Vaidya D, de Mutsert R, Josyula NS, Bauer CR, Zhao W, Walker RW, Smith JA, Lange LA, Meyer MC, Liu CT, Yanek LR, Lee M, Raffield LM, Loos RJF, Gordon-Larsen P, Below JE, North KE, Graff M. Genome-wide association study provides novel insight into the genetic architecture of severe obesity. PLoS Genet. 2025 Sep; 21(9):e1011842. PMID: 40939575; PMCID: PMC12443252; DOI: 10.1371/journal.pgen.1011842;
     
  8. Smit RAJ, Wade KH, Hui Q, Arias JD, Yin X, Christiansen MR, Yengo L, Preuss MH, Nakabuye M, Rocheleau G, Graham SE, Buchanan VL, Chittoor G, Graff M, Guindo-Martínez M, Lu Y, Marouli E, Sakaue S, Spracklen CN, Vedantam S, Wilson EP, Chen SH, Ferreira T, Ji Y, Karaderi T, Lüll K, Machado M, Malden DE, Medina-Gomez C, Moore A, Rüeger S, Akiyama M, Allison MA, Alvarez M, Andersen MK, Appadurai V, Arbeeva L, Bartell E, Bhaskar S, Bielak LF, Bis JC, Bollepalli S, Bork-Jensen J, Bradfield JP, Bradford Y, Brandl C, Braund PS, Brody JA, Broeckel U, Burgdorf KS, Cade BE, Cai Q, Camarda S, Campbell A, Cañadas-Garre M, Chai JF, Chesi A, Choi SH, Christofidou P, Couture C, Cuellar-Partida G, Danning R, Degenhardt F, Delgado GE, Delitala A, Demirkan A, Deng X, Dietl A, Dimitriou M, Dimitrov L, Dorajoo R, Eichelmann F, Eliasen AU, Engmann JE, Erdos MR, Fairhurst-Hunter Z, Farmaki AE, Faul JD, Fernandez-Lopez JC, Forer L, Frank M, Freitag-Wolf S, Fritsche LG, Fuchsberger C, Galesloot TE, Gao Y, Geller F, Giannakopoulou O, Giulianini F, Gjesing AP, Goel A, Gordon SD, Gorski M, Grove J, Guo X, Gustafsson S, Haessler J, Hansen TF, Havulinna AS, Haworth SJ, Heard-Costa N, Hemerich D, Highland HM, Hindy G, Ho YL, Hofer E, Holliday E, Horn K, Hornsby WE, Hottenga JJ, Huang H, Huang J, Huerta-Chagoya A, Huo S, Hwang MY, Hwu CM, Iha H, Ikeda DD, Isono M, Jackson AU, Jansen IE, Jiang Y, Johansson I, Jonsson A, Jørgensen T, Kalafati IP, Kanai M, Kanoni S, Kårhus LL, Kasturiratne A, Katsuya T, Kawaguchi T, Kember RL, Kentistou KA, Kim D, Kim HN, Kim YJ, Kleber ME, Knol MJ, Kurbasic A, Lauzon M, Le P, Lea R, Lee JY, Lee WJ, Leonard HL, Li H, Li SA, Li X, Li X, Liang J, Lin H, Lin K, Liu J, Liu X, Lo KS, Long J, Lores-Motta L, Luan J, Lyssenko V, Lyytikäinen LP, Mahajan A, Malik MZ, Mamakou V, Mangino M, Manichaikul A, Marten J, Mattheisen M, McDaid AF, Mei Q, Meiselbach H, Melendez TL, Milaneschi Y, Miller JE, Millwood IY, Mishra PP, Mitchell RE, Møllehave LT, Mononen N, Mucha S, Munz M, Mykkänen J, Nakatochi M, Nardone GG, Nelson CP, Nethander M, Nho CW, Nielsen AA, Nolte IM, Nongmaithem SS, Noordam R, Ntalla I, Nutile T, Pandit A, Pauper M, Petersen ERB, Petersen LV, Piluso F, Polašek O, Poveda A, Pyarajan S, Raffield LM, Rakugi H, Ramirez J, Rasheed A, Raven D, Rayner NW, Riveros C, Rohde R, Ruggiero D, Ruotsalainen SE, Ryan KA, Sabater-Lleal M, Santin A, Saxena R, Scholz M, Shen B, Shi J, Shin JH, Sidore C, Sidorenko J, Sim X, Slieker RC, Smith AV, Smith JA, Smyth LJ, Southam L, Steinthorsdottir V, Sun L, Takeuchi F, Taylor KD, Tayo BO, Tcheandjieu C, Terzikhan N, Tesolin P, Teumer A, Theusch E, Thompson DJ, Thorleifsson G, Timmers PRHJ, Trompet S, Turman C, Vaccargiu S, van der Laan SW, van der Most PJ, van Klinken JB, van Setten J, Verma SS, Verweij N, Veturi Y, Wang CA, Wang C, Wang JS, Wang L, Wang YX, Wang Z, Warren HR, Bin Wei W, Wen W, Wheeler WA, Wickremasinghe AR, Wielscher M, Winsvold BS, Wong A, Wuttke M, Xia R, Yamamoto K, Yang J, Yao J, Young H, Yousri NA, Yu L, Zeng L, Zhang W, Zhang X, Zhao JH, Zhao W, Zhou W, Zimmermann ME, Zoledziewska M, 't Hart LM, Adair LS, Adams HHH, Aguilar-Salinas CA, Al-Mulla F, Arnett DK, Asselbergs FW, Åsvold BO, Attia J, Banas B, Bandinelli S, Beilin LJ, Bennett DA, Bergler T, Bharadwaj D, Biino G, Boerwinkle E, Böger CA, Borja JB, Bouchard C, Bowden DW, Brandslund I, Brumpton B, Buring JE, Caulfield MJ, Chambers JC, Chandak GR, Chanock SJ, Chaturvedi N, Ida Chen YD, Chen Z, Cheng CY, Cho YS, Christensen K, Christophersen IE, Ciullo M, Cole JW, Collins FS, Concas MP, Cooper RS, Cruz M, Cucca F, Cutler MJ, Damrauer SM, Dantoft TM, de Borst GJ, de Geus EJC, de Groot LCPGM, De Jager PL, de Kleijn DPV, de Silva HJ, Dedoussis GV, den Hollander AI, Du S, Easton DF, Eckardt KU, Elders PJM, Eliassen AH, Ellinor PT, Elmståhl S, Erdmann J, Evans MK, Fatkin D, Feenstra B, Feitosa MF, Ferrucci L, Florez JC, Ford I, Fornage M, Franke A, Franks PW, Freedman BI, Gieger C, Girotto G, Golightly YM, et al. Polygenic predictView Related Profiles. PMID: 40691366; PMCID: PMC12443623; DOI: 10.1038/s41591-025-03827-z;
     
  9. Song Z, Gunn S, Monti S, Peloso GM, Liu CT, Lunetta K, Sebastiani P. Learning Gaussian Graphical Models from Correlated Data. Front Syst Biol. 2025; 5.View Related Profiles. PMID: 40766210; PMCID: PMC12323441; DOI: 10.3389/fsysb.2025.1589079;
     
  10. Bentley AR, Brown MR, Musani SK, Schwander KL, Winkler TW, Sims M, Kilpeläinen TO, Aschard H, Bartz TM, Bielak LF, Chai JF, Chitrala KN, Franceschini N, Graff M, Guo X, Hartwig FP, Horimoto ARVR, Lim E, Liu Y, Manning AK, Nolte IM, Noordam R, Richard MA, Smith AV, Sung YJ, Vojinovic D, Wang R, Wang Y, Feitosa MF, Harris SE, Lyytikäinen LP, Pistis G, Rauramaa R, van der Most PJ, Ware E, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Ballantyne C, Boerwinkle E, Chen YI, Daviglus ML, de Las Fuentes L, de Vries PS, Delaney JAC, Fretts AM, Ekunwe L, Faul JD, Gallo LC, Heikkinen S, Homuth G, Ikram MA, Isasi CR, Jonas JB, Keltikangas-Järvinen L, Komulainen P, Kraja AT, Krieger JE, Launer L, Liu J, Lohman K, Luik AI, Manichaikul AW, Marques-Vidal P, Milaneschi Y, Mwasongwe SE, O'Connell JR, Rice K, Rich SS, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Smith JA, Snieder H, Sotoodehnia N, Tai ES, Taylor KD, Tinker L, Tsai MY, Uitterlinden AG, van Duijn CM, van Heemst D, Waldenberger M, Wallace RB, Wee HL, Weir DR, Wei WB, Willems van Dijk K, Wilson G, Yao J, Young KL, Zhang X, Zhao W, Zhu X, Zonderman AB, Deary IJ, Gieger C, Grabe HJ, Lakka TA, Lehtimäki T, Oldehinkel AJ, Preisig M, Wang YX, Zheng W, Evans MK, Province M, Gauderman J, Gudnason V, Hartman CA, Horta BL, Kardia SLR, Kooperberg C, Liu CT, Mook-Kanamori DO, Penninx BW, Pereira AC, Peyser PA, Psaty BM, Rotter JI, Sim X, North KE, Rao DC, Bierut L, Miller CL, Morrison AC, Rotimi CN, Fornage M, Fox ER. Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids. Transl Psychiatry. 2025 Jun 20; 15(1):207. PMID: 40537477; PMCID: PMC12179276; DOI: 10.1038/s41398-025-03418-z;
     
Showing 10 of 237 results. Show More

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

Bar chart showing 237 publications over 21 distinct years, with a maximum of 29 publications in 2018

YearPublications
20042
20072
20081
20093
20101
20115
201216
20137
201412
20154
201611
201713
201829
201923
202013
202118
202217
202325
202414
202519
20262


2021 Boston University School of Public Health: Excellence in Teaching Award for Dedication to Student Learning
2020 American Statistical Association: Fellow of the American Statistical Association
2016 Boston University School of Public Health: Excellence in Teaching Award
2011 Boston University School of Public Health: Excellence in Teaching Award
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

statistical genetics, genomics, biostatistics, bioinformatics, obesity, diabetes, musculoskeletal disorders

Available to Mentor as: (Review Mentor Role Definitions):
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Contact for Mentoring:
  • Email (see 'Contact Info')

801 Massachusetts Ave Crosstown Center
Boston MA 02118
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