Evidence map›Paper›PMID 42465907›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Genetic Associations with Temporal Modeling of Alzheimer's Disease Progression Supports a Novel Paradigm for Disease Risk.

Daniel M Jordan, Eli Kritzer, Ryan C Thompson, Anina N Lund, Tulsi Patel, Ariela Buxbaum Grice, Divya A John, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Metabolomics Consortium, Alzheimer’s Disease Sequencing Project and 6 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

16 authors.

Daniel M JordanIcahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-5318-8225
Eli KritzerIcahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0003-4673-0781
Ryan C ThompsonIcahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-0450-8181
Anina N LundIcahn School of Medicine at Mount Sinai, New York, NY.
Tulsi PatelIcahn School of Medicine at Mount Sinai, New York, NY.
Ariela Buxbaum GriceIcahn School of Medicine at Mount Sinai, New York, NY.
Divya A JohnIcahn School of Medicine at Mount Sinai, New York, NY.
Alzheimer’s Disease Neuroimaging Initiative
Alzheimer’s Disease Metabolomics Consortium
Alzheimer’s Disease Sequencing Project
Alison M GoateIcahn School of Medicine at Mount Sinai, New York, NY.ORCID 0000-0002-0576-2472
Benjamin S GlicksbergIcahn School of Medicine at Mount Sinai, New York, NY.
Negar GolestaniIcahn School of Medicine at Mount Sinai, New York, NY.
Maria KorominaIcahn School of Medicine at Mount Sinai, New York, NY.
Alan E RentonIcahn School of Medicine at Mount Sinai, New York, NY.
Noam D BeckmannIcahn School of Medicine at Mount Sinai, New York, NY.

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI CLIFFORD R. JACK · 2016 to 2026
$226.7M
The Alzheimer's Clinical Trial Consortium - Down Syndrome Network (ACTC- DSN)U24AG057437 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul S. Aisen, RONALD C PETERSEN · 2018 to 2026
$198.4M
The Health & Aging Brain Study - Health Disparities (HABS-HD)U19AG078109 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Sid E O'Bryant · 2022 to 2026
$181.1M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
RECRUITMENT COREU19AG010483 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FELDMAN, HOWARD · 2013 to 2020
$80.6M
Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI Paul K Crane, Andrea Z. LaCroix · 2021 to 2026
$80.4M
Vascular Structure and Function in Cognitive AgingP01AG003949 · NIA · YESHIVA UNIVERSITY · PI Richard B. LIPTON · 1985 to 2026
$73.9M
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HHS U01 AG052410NIA NIH HHS U01 AG052411NIA NIH HHS U01 AG057659NIA NIH HHS U01 AG058589NIA NIH HHS U01 AG058635NIA NIH HHS U01 AG058654NIA NIH HHS U01 AG058922NIA NIH HHS U01 AG062602NIA NIH HHS U01 AG062943NIA NIH HHS U01 AG064948NIA NIH HHS U01 AG068057NIA NIH HHS U19 AG010483NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG062682NIA NIH HHS U19 AG066567NIA NIH HHS U19 AG078109NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG026395NIA NIH HHS U24 AG041689NIA NIH HHS U24 AG056270NIA NIH HHS U24 AG057437NIA NIH HHS U24 AG067418NIA NIH HHS U24 AG072122NIA NIH HHS U24 AG074855NIA NIH HHS U54 AG052427NIA NIH HHS UF1 AG047133NIA NIH HHS UF1 AG051197NIBIB NIH HHS P41 EB015922NIDA NIH HHS HHSN271201300031CNIEHS NIH HHS U01 ES017155NIMHD NIH HHS P20 MD000546NIMH NIH HHS U01 MH046281NIMH NIH HHS U01 MH046290NIMH NIH HHS U01 MH046373NINDS NIH HHS P01 NS026630NINDS NIH HHS P30 NS055077NINDS NIH HHS P50 NS038377NINDS NIH HHS P50 NS039764NINDS NIH HHS P50 NS071674NINDS NIH HHS P50 NS072187NINDS NIH HHS P50 NS091856NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS069719NINDS NIH HHS R01 NS078086NINDS NIH HHS R01 NS080820NINDS NIH HHS U01 NS041588NINDS NIH HHS U24 NS072026NINDS NIH HHS U54 NS100693NINDS NIH HHS UG3 NS104095Wellcome Trust
6 · The paper itself

Abstract

A major challenge in Alzheimer's disease (AD) research is predicting who will develop AD, how it progresses, and how to slow, prevent, or reverse progression. Here, we apply a data-driven timeline inference framework to sparse longitudinal blood metabolomics data to reconstruct AD timelines and derive individual-specific timeline progression rates. Inferred temporal locations for each metabolomics sample along the AD timeline closely track clinical severity, while timeline progression rates capture inter-individual differences in the speed of pathophysiological progression. Genome-wide association studies of timeline progression rate identify novel loci distinct from those in AD case-control studies, notably showing no effect of the major risk locus

Identifiers

PMID42465907
PMCPMC13370539

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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.