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Adam Christian Naj

Adam Christian Naj

· Associate Professor of Epidemiology in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania

University of Pennsylvania · Rehabilitation Medicine

Active 2007–2026

h-index45
Citations21.3k
Papers310112 last 5y
Funding$25.8M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Adam Christian Naj, PhD, is an Associate Professor of Epidemiology in the Department of Biostatistics, Epidemiology, and Informatics, and the Department of Pathology and Laboratory Medicine at the University of Pennsylvania Perelman School of Medicine. His research primarily focuses on the genetics of Alzheimer’s Disease (AD) and neurodegeneration. He has contributed to genome-wide association analyses in the Alzheimer’s Disease Genetics Consortium (ADGC), resulting in a highly cited first-author paper in 2011. Since joining Penn in 2012, Dr. Naj has extended his roles in analysis and data management within the ADGC and has been actively involved in co-leading quality control and case-control analysis working groups in the Alzheimer’s Disease Sequencing Project (ADSP), which has collected data on nearly 600 whole genomes and over 10,500 whole exomes of AD cases and controls to identify rare genomic variants associated with AD risk. His recent work includes guiding the development of quality control pipelines for next-generation sequencing data as part of the Genomic Center on Alzheimer’s Disease (GCAD). Dr. Naj is also a co-founder and organizer of the annual Symposium on Advances in Genetic Epidemiology and Statistics (SAGES), promoting methodological development for genomic data analysis. His research portfolio has expanded to include studies on genetic loci contributing to multiple neurodegenerative diseases and phenotypes, including Parkinson’s disease and progressive…

Research topics

  • Biology
  • Genetics
  • Medicine
  • Internal medicine
  • Bioinformatics
  • Gerontology
  • Computer Science
  • Machine Learning
  • Neuroscience
  • Pathology

Selected publications

  • New insights into the genetic etiology of Alzheimer’s disease and related dementias

    Nature Genetics · 2022 · 2403 citations

    Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted mi…

  • Exceptionally low likelihood of Alzheimer’s dementia in APOE2 homozygotes from a 5,000-person neuropathological study

    Nature Communications · 2020 · 484 citations

    Each additional copy of the apolipoprotein E4 (APOE4) allele is associated with a higher risk of Alzheimer's dementia, while the APOE2 allele is associated with a lower risk of Alzheimer's dementia, it is not yet known whether APOE2 homozygotes have a particularly low risk. We generated Alzheimer's dementia odds ratios and other findings in more than 5,000 clinically characterized and neuropathologically characterized Alzheimer's dementia cases and controls. APOE2/2 was associated with a low Alz…

  • Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

    Nature Communications · 2021 · 332 citations

    Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD…

  • Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel

    JAMA Neurology · 2020 · 271 citations

    Importance: Compared with non-Hispanic White individuals, African American individuals from the same community are approximately twice as likely to develop Alzheimer disease. Despite this disparity, the largest Alzheimer disease genome-wide association studies to date have been conducted in non-Hispanic White individuals. In the largest association analyses of Alzheimer disease in African American individuals, ABCA7, TREM2, and an intergenic locus at 5q35 were previously implicated. Objective: T…

  • Manifestations of Alzheimer’s disease genetic risk in the blood are evident in a multiomic analysis in healthy adults aged 18 to 90

    Scientific Reports · 2022 · 27 citations

    Genetics play an important role in late-onset Alzheimer's Disease (AD) etiology and dozens of genetic variants have been implicated in AD risk through large-scale GWAS meta-analyses. However, the precise mechanistic effects of most of these variants have yet to be determined. Deeply phenotyped cohort data can reveal physiological changes associated with genetic risk for AD across an age spectrum that may provide clues to the biology of the disease. We utilized over 2000 high-quality quantitative…

Recent grants

Frequent coauthors

  • Margaret A. Pericak‐Vance

    Dr. John T. Macdonald Foundation

    716 shared
  • Eden R. Martin

    University of Miami

    708 shared
  • Jonathan L. Haines

    Case Western Reserve University

    668 shared
  • Brian W. Kunkle

    University of Miami

    666 shared
  • Lindsay A. Farrer

    Framingham Heart Study

    666 shared
  • Gary W. Beecham

    University of Miami

    646 shared
  • Richard Mayeux

    Columbia University

    638 shared
  • Badri N. Vardarajan

    Columbia University Irving Medical Center

    582 shared

Education

  • B.A., Biology (Genetics)/Psychology

    University of Chicago

    2000
  • Ph.D., Epidemiology (Human Genetics)

    The Johns Hopkins University Bloomberg School of Public Health

    2008

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