Honghuang Lin, PhD
Adjunct Associate Professor, Medicine
Biography
I am a bioinformatician/biostatistician with training in mathematics, machine learning, genetics, and digital medicine. Our lab is mainly focused on the development and application of computational tools to study complex diseases.
1. Identification of genetic causes of complex diseases. We have been involved in multiple large-scale genetic consortiums, such as the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Trans-Omics for Precision Medicine (TOPMed) program, and Alzheimer’s Disease Sequencing Project (ADSP). These studies have identified hundreds of genetic loci associated with atrial fibrillation, heart failure, hypertension, and Alzheimer’s disease.
2. Integration of multi-omics data to understand disease molecular mechanisms. Complex diseases are usually caused by the interplay of genetic and environmental factors. We have identified numerous molecular signatures from gene expression, protein expression, and DNA methylation that are related to aging and cardiovascular disease. We are also developing computational methods to integrate different molecular signatures and build gene interaction networks to study potential disease regulation networks.
3. Development of machine learning models for early disease diagnosis. We have built multiple machine learning models to predict dementia risk from midlife risk factors and neuropsychological tests. In combination with neuroimaging and blood-based measures, we are also developing multimodal machine learning methods to identify new biomarkers that are predictive of future cognitive impairment.
4. Exploration of digital and wearable devices for health monitoring. We have deployed thousands of wearable devices and mobile apps to monitor cardiovascular health and cognitive health. We are integrating active engagement with passive engagement technologies from the habitual environment to make sustained monitoring feasible. Novel analytic strategies are also being developed to analyze big unstructured data to identify potential digital biomarkers that are predictive of future health outcomes.
Other Positions
- Member, BU-BMC Cancer Center, Boston University
- Investigator, Framingham Heart Study
- Member, Evans Center for Interdisciplinary Biomedical Research, Boston University
Education
- National University of Singapore (NUS), PhD
- Peking University, BA
- Peking University, BS
Publications
- Published on 10/25/2024
Ding H, Ho K, Searls E, Low S, Li Z, Rahman S, Madan S, Igwe A, Popp Z, Burk A, Wu H, Ding Y, Hwang PH, Anda-Duran I, Kolachalama VB, Gifford KA, Shih LC, Au R, Lin H. Assessment of Wearable Device Adherence for Monitoring Physical Activity in Older Adults: Pilot Cohort Study. JMIR Aging. 2024 Oct 25; 7:e60209. PMID: 39454101.
Read at: PubMed - Published on 10/21/2024
García-Marín LM, Campos AI, Diaz-Torres S, Rabinowitz JA, Ceja Z, Mitchell BL, Grasby KL, Thorp JG, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen OA, Arfanakis K, Arias-Vasquez A, Armstrong NJ, Athanasiu L, Bastin ME, Beiser AS, Bennett DA, Bis JC, Boks MPM, Boomsma DI, Brodaty H, Brouwer RM, Buitelaar JK, Burkhardt R, Cahn W, Calhoun VD, Carmichael OT, Chakravarty M, Chen Q, Ching CRK, Cichon S, Crespo-Facorro B, Crivello F, Dale AM, Smith GD, de Geus EJC, De Jager PL, de Zubicaray GI, Debette S, DeCarli C, Depondt C, Desrivières S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher SE, Fleischman DA, Fletcher E, Fornage M, Forstner AJ, Francks C, Franke B, Ge T, Goldman AL, Grabe HJ, Green RC, Grimm O, Groenewold NA, Gruber O, Gudnason V, Håberg AK, Haukvik UK, Heinz A, Hibar DP, Hilal S, Himali JJ, Ho BC, Hoehn DF, Hoekstra PJ, Hofer E, Hoffmann W, Holmes AJ, Homuth G, Hosten N, Ikram MK, Ipser JC, Jack CR, Jahanshad N, Jönsson EG, Kahn RS, Kanai R, Klein M, Knol MJ, Launer LJ, Lawrie SM, Hellard SL, Lee PH, Lemaître H, Li S, Liewald DCM, Lin H, Longstreth WT, Lopez OL, Luciano M, Maillard P, Marquand AF, Martin NG, Martinot JL, Mather KA, Mattay VS, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley TH, Mühleisen TW, Müller-Myhsok B, Maniega SM, Nauck M, Nho K, Niessen WJ, Nöthen MM, Nyquist PA, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Psaty BM, Pütz B, Reppermund S, Rietschel MD, Risacher SL, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin GV, Rotter JI, Sachdev PS, Sämann PG, Saremi A, Sargurupremraj M, Saykin AJ, Schmaal L, Schmidt H, Schmidt R, Schofield PR, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya SM, Smith AV, Smoller JW, Soininen HS, Steen VM, Stein DJ, Stein JL, Thomopoulos SI, Toga AW, Tordesillas-Gutiérrez D, Trollor JN, Valdes-Hernandez MC, van T Ent D, van Bokhoven H, van der Meer D, van der Wee NJA, Vázquez-Bourgon J, Veltman DJ, Vernooij MW, Villringer A, Vinke LN, Völzke H, Walter H, Wardlaw JM, Weinberger DR, Weiner MW, Wen W, Westlye LT, Westman E, White T, Witte AV, Wolf C, Yang J, Zwiers MP, Ikram MA, Seshadri S, Thompson PM, Satizabal CL, Medland SE, Rentería ME. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries. Nat Genet. 2024 Nov; 56(11):2333-2344. PMID: 39433889.
Read at: PubMed - Published on 10/21/2024
Pirruccello JP, Khurshid S, Lin H, Weng LC, Zamirpour S, Kany S, Raghavan A, Koyama S, Vasan RS, Benjamin EJ, Lindsay ME, Ellinor PT. The AORTA Gene score for detection and risk stratification of ascending aortic dilation. Eur Heart J. 2024 Oct 21; 45(40):4318-4332. PMID: 39132911.
Read at: PubMed - Published on 10/20/2024
Lee WP, Choi SH, Shea MG, Cheng PL, Dombroski BA, Pitsillides AN, Heard-Costa NL, Wang H, Bulekova K, Kuzma AB, Leung YY, Farrell JJ, Lin H, Kunkle BW, Naj A, Blue EE, Nusetor F, Wang D, Boerwinkle E, Bush WS, Zhang X, De Jager PL, Dupuis J, Farrer LA, Fornage M, Martin E, Pericak-Vance M, Seshadri S, Wijsman EM, Wang LS, Schellenberg GD, Destefano AL, Haines JL, Peloso GM. Association of common and rare variants with Alzheimer's disease in more than 13,000 diverse individuals with whole-genome sequencing from the Alzheimer's Disease Sequencing Project. Alzheimers Dement. 2024 Dec; 20(12):8470-8483. PMID: 39428839.
Read at: PubMed - Published on 9/18/2024
Liu S, Park T, Krüger DM, Pena-Centeno T, Burkhardt S, Schutz AL, Huang YN, Rosewood T, Chaudhuri S, Cho M, Risacher SL, Wan Y, Shaw LM, Sananbenesi F, Brodsky AS, Lin H, Krunic A, Blusztajn JK, Saykin AJ, Delalle I, Fischer A, Nho K. Plasma miRNAs across the Alzheimer's disease continuum: Relationship to central biomarkers. Alzheimers Dement. 2024 Nov; 20(11):7698-7714. PMID: 39291737.
Read at: PubMed - Published on 9/18/2024
Krüger DM, Pena-Centeno T, Liu S, Park T, Kaurani L, Pradhan R, Huang YN, Risacher SL, Burkhardt S, Schütz AL, Wan Y, Shaw LM, Brodsky AS, DeStefano AL, Lin H, Schroeder R, Krunic A, Hempel N, Sananbenesi F, Blusztajn JK, Saykin AJ, Delalle I, Nho K, Fischer A. The plasma miRNAome in ADNI: Signatures to aid the detection of at-risk individuals. Alzheimers Dement. 2024 Nov; 20(11):7479-7494. PMID: 39291752.
Read at: PubMed - Published on 9/11/2024
Spartano NL, Sultana N, Lin H, Cheng H, Lu S, Fei D, Murabito JM, Walker ME, Wolpert HA, Steenkamp DW. Defining continuous glucose monitor time in range in a large community-based cohort without diabetes. J Clin Endocrinol Metab. 2024 Sep 11. PMID: 39257191.
Read at: PubMed - Published on 8/29/2024
Li W, Mei W, Jiang H, Wang J, Li X, Quan L, Diao Y, Ma Y, Fan S, Xie Z, Gong M, Zhu H, Bi D, Zhang F, Ma L, Zhang J, Gao Y, Paschalidis A, Lin H, Liu F, Liu K, Ye M, Zhao Z, Duan Y, Chen Z, Xu Y, Xiao W, Tao S, Zhu L, Li H. Blocking the PD-1 signal transduction by occupying the phosphorylated ITSM recognition site of SHP-2. Sci China Life Sci. 2025 Jan; 68(1):189-203. PMID: 39235560.
Read at: PubMed - Published on 8/22/2024
Ding H, Lister A, Karjadi C, Au R, Lin H, Bischoff B, Hwang PH. Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study. JMIR Aging. 2024 Aug 22; 7:e55126. PMID: 39173144.
Read at: PubMed - Published on 8/15/2024
García-Marín LM, Campos AI, Diaz-Torres S, Rabinowitz JA, Ceja Z, Mitchell BL, Grasby KL, Thorp JG, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen OA, Arfanakis K, Vasquez AA, Armstrong NJ, Athanasiu L, Bastin ME, Beiser AS, Bennett DA, Bis JC, Boks MP, Boomsma DI, Brodaty H, Brouwer RM, Buitelaar JK, Burkhardt R, Cahn W, Calhoun VD, Carmichael OT, Chakravarty M, Chen Q, Ching CRK, Cichon S, Crespo-Facorro B, Crivello F, Dale AM, Smith GD, de Geus EJ, De Jager PL, de Zubicaray GI, Debette S, DeCarli C, Depondt C, Desrivières S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher SE, Fleischman DA, Fletcher E, Fornage M, Forstner AJ, Francks C, Franke B, Ge T, Goldman AL, Grabe HJ, Green RC, Grimm O, Groenewold NA, Gruber O, Gudnason V, Håberg AK, Haukvik UK, Heinz A, Hibar DP, Hilal S, Himali JJ, Ho BC, Hoehn DF, Hoekstra PJ, Hofer E, Hoffmann W, Holmes AJ, Homuth G, Hosten N, Ikram MK, Ipser JC, Jack CR, Jahanshad N, Jönsson EG, Kahn RS, Kanai R, Klein M, Knol MJ, Launer LJ, Lawrie SM, Hellard SL, Lee PH, Lemaître H, Li S, Liewald DC, Lin H, Longstreth WT, Lopez OL, Luciano M, Maillard P, Marquand AF, Martin NG, Martinot JL, Mather KA, Mattay VS, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley TH, Mühleisen TW, Müller-Myhsok B, Muñoz Maniega S, Nauck M, Nho K, Niessen WJ, Nöthen MM, Nyquist PA, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx BW, Pike GB, Psaty BM, Pütz B, Reppermund S, Rietschel MD, Risacher SL, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin GV, Rotter JI, Sachdev PS, Sämann PG, Saremi A, Sargurupremraj M, Saykin AJ, Schmaal L, Schmidt H, Schmidt R, Schofield PR, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya SM, Smith AV, Smoller JW, Soininen HS, Steen VM, Stein DJ, Stein JL, Thomopoulos SI, Toga AW, Tordesillas-Gutiérrez D, Trollor JN, Valdes-Hernandez MC, van 't Ent D, van Bokhoven H, van der Meer D, van der Wee NJ, Vázquez-Bourgon J, Veltman DJ, Vernooij MW, Villringer A, Vinke LN, Völzke H, Walter H, Wardlaw JM, Weinberger DR, Weiner MW, Wen W, Westlye LT, Westman E, White T, Witte AV, Wolf C, Yang J, Zwiers MP, Ikram MA, Seshadri S, Thompson PM, Satizabal CL, Medland SE, Rentería ME. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries. medRxiv. 2024 Aug 15. PMID: 39371125.
Read at: PubMed
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