Lin, Honghuang

Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,946

Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 2,213

Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

ARUK Consortium, Sims, R., GERAD/PERADES, C., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., et al. (2017) · Nature Genetics

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 1,012

A saturated map of common genetic variants associated with human height

Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., et al. (2022) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 825

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

Bick, A. G., Weinstock, J. S., Nandakumar, S. K., Fulco, C. P., Bao, E. L., Zekavat, S. M., Szeto, M. D., Liao, X., Leventhal, M. J., Nasser, J., et al. (2020) · Nature

Acute Myeloid Leukemia ResearchGenetic Associations and Epidemiology

Cited by 733

Rare and low-frequency coding variants alter human adult height

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 610

Meta-analysis identifies six new susceptibility loci for atrial fibrillation

Ellinor, P. T., Lunetta, K. L., Albert, C. M., Glazer, N. L., Ritchie, M. D., Smith, A. V., Arking, D. E., Müller-Nurasyid, M., Krijthe, B. P., Lubitz, S. A., et al. (2012) · Nature Genetics

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 601

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation

Bis, J. C., Jian, X., Kunkle, B. W., Chen, Y., Hamilton-Nelson, K. L., Bush, W. S., Salerno, W. J., Lancour, D., Ma, Y., Renton, A. E., et al. (2020) · Molecular Psychiatry

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 248

Deep learning enables genetic analysis of the human thoracic aorta

Pirruccello, J. P., Chaffin, M. D., Chou, E. L., Fleming, S. J., Lin, H., Nekoui, M., Khurshid, S., Friedman, S. F., Bick, A. G., Arduini, A., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyAortic Disease and Treatment Approaches

Cited by 210

Integrating genetic, transcriptional, and functional analyses to identify 5 novel genes for atrial fibrillation

Sinner, M. F., Tucker, N. R., Lunetta, K. L., Ozaki, K., Smith, J. G., Trompet, S., Bis, J. C., Lin, H., Chung, M. K., Nielsen, J. B., et al. (2014) · Circulation

Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes

Cited by 205

Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese

Lubitz, S. A., Lunetta, K. L., Lin, H., Arking, D. E., Trompet, S., Li, G., Krijthe, B. P., Chasman, D. I., Barnard, J., Kleber, M. E., et al. (2014) · Journal of the American College of Cardiology

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 148

Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

Wild, P. S., Felix, J. F., Schillert, A., Teumer, A., Chen, M.-H., Leening, M. J. G., Völker, U., Großmann, V., Brody, J. A., Irvin, M. R., et al. (2017) · Journal of Clinical Investigation

Genetic Associations and EpidemiologyCardiac electrophysiology and arrhythmias

Cited by 129

Plasma microRNAs are associated with atrial fibrillation and change after catheter ablation (the miRhythm study)

McManus, D. D., Tanriverdi, K., Lin, H., Esa, N., Kinno, M., Mandapati, D., Tam, S., Okike, O. N., Ellinor, P. T., Keaney, J. F., et al. (2015) · Heart Rhythm

Atrial Fibrillation Management and OutcomesMicroRNA in disease regulation

Cited by 116

Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease

Katz, D. H., Tahir, U. A., Bick, A. G., Pampana, A., Ngo, D., Benson, M. D., Yu, Z., Robbins, J. M., Chen, Z.-Z., Cruz, D. E., et al. (2022) · Circulation

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 92

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

Assessment of the mid-life demographic and lifestyle risk factors of dementia using data from the framingham heart study offspring cohort

Li, J., Ogrodnik, M., Kolachalama, V. B., Lin, H., & Au, R. (2018) · Journal of Alzheimer's Disease

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 36

Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Kunkle, B., Grenier-Boley, B., Sims, R., Bis, J., Naj, A., Boland, A., Vronskaya, M., van der Lee, S., Amlie-Wolf, A., Bellenguez, C., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory)

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 35

Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Cade, B. E., Lee, J., Sofer, T., Wang, H., Zhang, M., Chen, H., Gharib, S. A., Gottlieb, D. J., Guo, X., Lane, J. M., et al. (2021) · Genome Medicine

Obstructive Sleep Apnea ResearchGenetic Associations and Epidemiology

Cited by 33

Prediction of progression from mild cognitive impairment to Alzheimer's disease with longitudinal and multimodal data

Ding, H., Wang, B., Hamel, A. P., Melkonyan, M., Ang, T. F. A., Au, R., & Lin, H. (2023) · Frontiers in Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 32

Gene expression markers of age-related inflammation in two human cohorts

Pilling, L. C., Joehanes, R., Melzer, D., Harries, L. W., Henley, W., Dupuis, J., Lin, H., Mitchell, M., Hernandez, D., Ying, S.-X., et al. (2015) · Experimental Gerontology

Genetics, Aging, and Longevity in Model OrganismsCytokine Signaling Pathways and Interactions

Cited by 24

Associations between the digital clock drawing test and brain volume: large community-based prospective cohort (Framingham heart study)

Yuan, J., Au, R., Karjadi, C., Ang, T. F., Devine, S., Auerbach, S., DeCarli, C., Libon, D. J., Mez, J., & Lin, H. (2022) · Journal of Medical Internet Research

Dementia and Cognitive Impairment ResearchHistorical and Modern Theater Studies

Cited by 22

Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study

Lin, H., Himali, J. J., Satizabal, C. L., Beiser, A. S., Levy, D., Benjamin, E. J., Gonzales, M. M., Ghosh, S., Vasan, R. S., Seshadri, S., et al. (2022) · Cells

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 20

Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial

Trinquart, L., Liu, C., McManus, D. D., Nowak, C., Lin, H., Spartano, N. L., Borrelli, B., Benjamin, E. J., & Murabito, J. M. (2023) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 11