Evidence map›Paper›PMID 42688218›Full record

ArticleFrontiers in aging neuroscience2026

Association between Alzheimer's disease-related genes and neurodegenerative blood-based biomarkers in Indian adults.

Hasan Abu-Amara, Wei Zhao, Zheng Li, Yuk Yee Leung, Gerard D Schellenberg, Li-San Wang, Eileen M Crimmins, Bharat Thyagarajan, Masroor Anwar, Perry Hu and 7 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Hasan Abu-AmaraDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Zheng LiDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Yuk Yee LeungDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Penn Neurodegeneration Genomics Center, Philadelphia, PA, United States.
Gerard D SchellenbergDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Penn Neurodegeneration Genomics Center, Philadelphia, PA, United States.
Li-San WangDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Penn Neurodegeneration Genomics Center, Philadelphia, PA, United States.
Eileen M CrimminsDavis School of Gerontology, University of Southern California, Los Angeles, CA, United States.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.
Masroor AnwarDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
Perry HuDepartment of Medicine/Geriatrics, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Sharmistha DeyDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
Aparajit B DeyDepartment of Geriatric Medicine, Artemis Hospital, Gurugram, India.
Xiang ZhouDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Kumarasamy ThangarajEvolutionary and Medical Genetics Laboratory, Centre for Cellular and Molecular Biology, Hyderabad, India.
Jinkook LeeDepartment of Economics, University of Southern California, Los Angeles, CA, United States.
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States.

Funding

THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
Genome Center for Alzheimer's Disease (GCAD)U54AG052427 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID, WANG, LI-SAN · 2016 to 2025
$32.8M
Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
Harmonized Diagnostic Assessment of Dementia (DAD) for Longitudinal Aging Study of India (LASI)-Genomic study.U01AG064948 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KARDIA, SHARON L, LEE, JINKOOK · 2019 to 2023
$12.5M
Ethnic-specific Effects of Mitochondrial DNA Variants and Environmental Factors on Cognitive Functioning and DementiaR01AG068405 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COHEN, PINCHAS, CRIMMINS, EILEEN M · 2020 to 2024
$3.6M
Biomarkers of neurodegeneration in the US and India: A cross-national evaluation of the biological underpinnings of ADRDRF1AG088003 · NIA · JOHNS HOPKINS UNIVERSITY · PI CRIMMINS, EILEEN M, GROSS, ALDEN L. · 2024 to 2024
$2.4M
NIA NIH HHS R01 AG051125NIA NIH HHS R01 AG068405NIA NIH HHS RF1 AG088003NIA NIH HHS U01 AG064948NIA NIH HHS U24 AG041689NIA NIH HHS U54 AG052427
6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) and related dementias are a growing health and economic burden in India. Blood levels of amyloid beta (Ab), tau, and other proteins marking neuronal injury are biomarkers of AD risk and are potentially important for AD prevention. Methods: In 2,224 participants from the Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD), we performed gene-based analyses on (1) missense/loss-of-function (LoF) single-nucleotide variants (SNVs) and (2) brain-specific promoter/enhancer SNVs across 84 genes selected from AD GWAS and 25 gene-biomarker pairs selected from biomarker GWAS. We used variant-Set Test for Association using Annotation infoRmation (STAAR) across 7 neurodegenerative biomarkers measured in blood: Ab40, Ab42, Ab42/Ab40, total tau (tTau), tau phosphorylated at threonine 181 (pTau), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). We adjusted for age, sex, and genetic ancestry, with random intercepts for genetic relatedness and biomarker plate. Analyses incorporated weighted annotation scores (e.g., deleteriousness). Significant results (FDR- Results: Missense/LoF variants in 6 AD-associated genes ( Conclusion: Rare and common variants in AD- and neurodegenerative biomarker-associated genes with increased frequency in India compared to other populations may impact blood levels of neurodegenerative biomarkers in South Asians.

Indexed as

Alzheimer’s diseasecognitive functiongene-based analysisgene-by-age interactiongene-by-sex interactiongeneticsneurodegenerative biomarkersrare variants

Identifiers

PMID42688218
PMCPMC13534049

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.