Honghuang Lin, PhD
Adjunct Associate Professor
Boston University School of Medicine
Dept of Medicine
Computational Biomedicine

PhD, National University of Singapore (NUS)




I am a bioinformatician with training in mathematics, machine learning, genetics and digital medicine. I am also an investigator of the Framingham Heart Study. Our lab is mainly focused on the development and application of computational tools to study complex diseases. The ultimate goal is to develop new computational strategies for the disease prevention and intervention, and our focus includes:

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 the 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.

Member
Boston University
BU-BMC Cancer Center


Investigator
Framingham Heart Study


Member
Boston University
Evans Center for Interdisciplinary Biomedical Research




Integrated Digital Technology Platform for Optimization of Precision Brain Health
07/01/2020 - 06/30/2024 (Multi-PI)
PI: Honghuang Lin, PhD
American Heart Association


Identification of digital biomarkers for Alzheimer's disease
03/01/2020 - 02/28/2023 (PI)
Alzheimer's Association


Digital, risk-based screening for Atrial Fibrillation in the European Community: AFFECT-EU
01/01/2020 - 12/31/2022 (PI)
European Commission


Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approaches
09/15/2021 - 12/31/2021 (Multi-PI)
PI: Honghuang Lin, PhD
NIH/National Institute on Aging
1U01AG068221-01A1



Title

Biostatistical analysis of TOPMed genetics data
06/01/2019 - 05/31/2020 (PI)
University of Connecticut Health Center


Yr Title Project-Sub Proj Pubs
2021 Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approaches 1U01AG068221-01A1

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. Herbert C, Kheterpal V, Suvarna T, Broach J, Marquez JL, Gerber B, Schrader S, Nowak C, Harman E, Heetderks W, Fahey N, Orvek E, Lazar P, Ferranto J, Noorishirazi K, Valpady S, Shi Q, Lin H, Marvel K, Gibson L, Barton B, Lemon S, Hafer N, McManus D, Soni A. Design and Preliminary Findings of Adherence to the Self-Testing for Our Protection From COVID-19 (STOP COVID-19) Risk-Based Testing Protocol: Prospective Digital Study. JMIR Form Res. 2022 Jun 16; 6(6):e38113. PMID: 35649180; DOI: 10.2196/38113;
     
  2. Siland JE, Geelhoed B, Roselli C, Wang B, Lin HJ, Weiss S, Trompet S, van den Berg ME, Soliman EZ, Chen LY, Ford I, Jukema JW, Macfarlane PW, Kornej J, Lin H, Lunetta KL, Kavousi M, Kors JA, Ikram MA, Guo X, Yao J, Dörr M, Felix SB, Völker U, Sotoodehnia N, Arking DE, Stricker BH, Heckbert SR, Lubitz SA, Benjamin EJ, Alonso A, Ellinor PT, van der Harst P, Rienstra M. Resting heart rate and incident atrial fibrillation: A stratified Mendelian randomization in the AFGen consortium. PLoS One. 2022; 17(5):e0268768.View Related Profiles. PMID: 35594314; PMCID: PMC9122202; DOI: 10.1371/journal.pone.0268768;
     
  3. Manichaikul A, Lin H, Kang C, Yang C, Rich SS, Taylor KD, Guo X, Rotter JI, Craig Johnson W, Cornell E, Tracy RP, Peter Durda J, Liu Y, Vasan RS, Adrienne Cupples L, Gerszten RE, Clish CB, Jain D, Conomos MP, Blackwell T, Papanicolaou GJ, Rodriguez A. Lymphocyte activation gene-3-associated protein networks are associated with HDL-cholesterol and mortality in the Trans-omics for Precision Medicine program. Commun Biol. 2022 05 02; 5(1):362. PMID: 35501457; PMCID: PMC9061762; DOI: 10.1038/s42003-022-03304-0;
     
  4. Lin H, Himali JJ, Satizabal CL, Beiser AS, Levy D, Benjamin EJ, Gonzales MM, Ghosh S, Vasan RS, Seshadri S, McGrath ER. Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study. Cells. 2022 Apr 30; 11(9).View Related Profiles. PMID: 35563811; PMCID: PMC9100323; DOI: 10.3390/cells11091506;
     
  5. Hammond MM, Zhang Y, Pathiravasan CH, Lin H, Sardana M, Trinquart L, Benjamin EJ, Borrelli B, Manders ES, Fusco K, Kornej J, Spartano NL, Kheterpal V, Nowak C, McManus DD, Liu C, Murabito JM. Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study. JMIR Cardio. 2022 Apr 27; 6(1):e32348.View Related Profiles. PMID: 35476038; PMCID: PMC9096636; DOI: 10.2196/32348;
     
  6. Yuan J, Au R, Karjadi C, Ang TF, Devine S, Auerbach S, DeCarli C, Libon DJ, Mez J, Lin H. Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study). J Med Internet Res. 2022 Apr 15; 24(4):e34513.View Related Profiles. PMID: 35436225; PMCID: PMC9055470; DOI: 10.2196/34513;
     
  7. Soni A, Herbert C, Baek J, Shi Q, Marquez J, Harman E, Kheterpal V, Nowak C, Suvarna T, Lin H, Heetderks W, Zai A, Cohen-Wolkowiez M, Corbie-Smith G, Kibbe W, Gerber BS, Hafer N, Barton B, Broach J, McManus D. Association of Mass Distribution of Rapid Antigen Tests and SARS-CoV-2 Prevalence: Results from NIH-CDC funded Say Yes! Covid Test program in Michigan. medRxiv. 2022 Apr 02. PMID: 35411342; PMCID: PMC8996630; DOI: 10.1101/2022.03.26.22272727;
     
  8. Herbert C, Shi Q, Kheterpal V, Nowak C, Suvarna T, Durnam B, Schrader S, Behar S, Naeem S, Tarrant S, Kalibala B, Singh A, Gerber B, Barton B, Lin H, Cohen-Wolkowiez M, Corbie-Smith G, Kibbe W, Marquez J, Baek J, Hafer N, Gibson L, O'Connor L, Broach J, Heetderks W, McManus D, Soni A. If you build it, will they use it? Use of a Digital Assistant for Self-Reporting of COVID-19 Rapid Antigen Test Results during Large Nationwide Community Testing Initiative. medRxiv. 2022 Apr 01. PMID: 35411338; PMCID: PMC8996627; DOI: 10.1101/2022.03.31.22273242;
     
  9. Kornej J, Ko D, Lin H, Murabito JM, Benjamin EJ, Trinquart L, Preis SR. The association between social network index, atrial fibrillation, and mortality in the Framingham Heart Study. Sci Rep. 2022 03 10; 12(1):3958.View Related Profiles. PMID: 35273243; PMCID: PMC8913787; DOI: 10.1038/s41598-022-07850-9;
     
  10. Soni A, Herbert C, Filippaios A, Broach J, Colubri A, Fahey N, Woods K, Nanavati J, Wright C, Orwig T, Gilliam K, Kheterpal V, Suvarna T, Nowak C, Schrader S, Lin H, O'Connor L, Pretz C, Ayturk D, Orvek E, Flahive J, Lazar P, Shi Q, Achenbach C, Murphy R, Robinson M, Gibson L, Stamegna P, Hafer N, Luzuriaga K, Barton B, Heetderks W, Manabe YC, McManus D. Comparison of Rapid Antigen Tests' Performance between Delta (B.1.61.7; AY.X) and Omicron (B.1.1.529; BA1) Variants of SARS-CoV-2: Secondary Analysis from a Serial Home Self-Testing Study. medRxiv. 2022 Mar 02. PMID: 35262091; PMCID: PMC8902878; DOI: 10.1101/2022.02.27.22271090;
     
Showing 10 of 171 results. Show More

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

Bar chart showing 171 publications over 18 distinct years, with a maximum of 21 publications in 2018

YearPublications
20041
20052
20069
20078
20084
20092
20114
20125
20134
201417
20155
201615
201717
201821
201913
202019
202113
202212


Promotion to Associate Professor for 18 Medical Campus Faculty

BU Today 6/14/2019
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Bioinformatics
Machine learning
Microarray data analysis
Next generation sequencing
Multi-omics data integration

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