SynthesisPLoS genetics2025
Alzheimer disease is (sometimes) highly heritable: Drivers of variation in heritability estimates for binary traits, a systematic review.
Synthesis in PLoS genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Interactions between rare variants in DNA repair genes and cardiometabolic risk explain more variability in cognitive function.GeroScience · 2026Article
- Integrating contextual determinants and polygenic risk to examine dementia and late-life cognition in the Multi-Ethnic Study of Atherosclerosis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Dissecting Alzheimer's disease heritability across populations.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The role of genomic-informed risk assessments in predicting dementia outcomes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- The Role of Genomic-Informed Risk Assessments in Predicting Dementia Outcomes.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
- Update of
Authors and funding
14 authors.
Funding
Abstract
Estimating heritability has been fundamental in understanding the genetic contributions to complex disorders like late-onset Alzheimer's disease (LOAD) and provides a rationale for identifying genetic factors associated with disease susceptibility. While numerous studies have established substantial genetic contribution for LOAD, the interpretation of heritability estimates remains challenging. These challenges are further complicated by the binary nature of LOAD status, where estimation and interpretation require additional considerations. Through a systematic review, we identified LOAD heritability estimates from 6 twin studies and 17 genome-wide association studies, all conducted in populations of European ancestry. We demonstrate that these heritability estimates for LOAD vary considerably. The variation reflects not only differences in study design and methodological approaches but also the underlying study population characteristics. Our findings indicate that commonly cited heritability estimates, often treated as universal values, should be interpreted within specific population contexts and methodological frameworks.
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Registered trials
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.