Evidence map›Paper›PMID 38414085›Full record

ArticleAlzheimer's research & therapy2024

Polygenic effects on the risk of Alzheimer's disease in the Japanese population.

Masataka Kikuchi, Akinori Miyashita, Norikazu Hara, Kensaku Kasuga, Yuko Saito, Shigeo Murayama, Akiyoshi Kakita, Hiroyasu Akatsu, Kouichi Ozaki, Shumpei Niida and 6 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  8. Association of rareJournal of Alzheimer's disease : JAD · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 2 countries.

Masataka KikuchiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 6-2-3 Kashiwanoha, Kashiwa, Chiba, 277-0882, Japan. kikuchi@edu.k.u-tokyo.ac.jp.
Akinori MiyashitaDepartment of Molecular Genetics, Brain Research Institute, Niigata University, 1-757 Asahimachi, Niigata, 951-8585, Japan.
Norikazu HaraDepartment of Molecular Genetics, Brain Research Institute, Niigata University, 1-757 Asahimachi, Niigata, 951-8585, Japan.
Kensaku KasugaDepartment of Molecular Genetics, Brain Research Institute, Niigata University, 1-757 Asahimachi, Niigata, 951-8585, Japan.
Yuko SaitoBrain Bank for Aging Research (Department of Neuropathology), Tokyo Metropolitan Institute of Geriatrics and Gerontology, Tokyo, Japan.
Shigeo MurayamaBrain Bank for Aging Research (Department of Neuropathology), Tokyo Metropolitan Institute of Geriatrics and Gerontology, Tokyo, Japan.
Akiyoshi KakitaDepartment of Pathology, Brain Research Institute, Niigata University, Niigata, Japan.
Hiroyasu AkatsuDepartment of General Medicine & General Internal Medicine, Nagoya City University Graduate School of Medicine, Nagoya, Japan.
Kouichi OzakiMedical Genome Center, National Center for Geriatrics and Gerontology, Research Institute, Aichi, Japan.
Shumpei NiidaCore Facility Administration, National Center for Geriatrics and Gerontology, Research Institute, Aichi, Japan.
Ryozo KuwanoSocial Welfare Corporation Asahigawaso, Asahigawaso Research Institute, Okayama, Japan.
Takeshi IwatsuboDepartment of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akihiro NakayaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 6-2-3 Kashiwanoha, Kashiwa, Chiba, 277-0882, Japan.
Takeshi IkeuchiDepartment of Molecular Genetics, Brain Research Institute, Niigata University, 1-757 Asahimachi, Niigata, 951-8585, Japan. ikeuchi@bri.niigata-u.ac.jp.
Alzheimer’s Disease Neuroimaging Initiative
Japanese Alzheimer’s Disease Neuroimaging Initiative
Resonance Research (United States) · USTokyo Metropolitan Institute of Gerontology · JPNiigata University · JPThe University of Tokyo · JPThe University of Osaka · JPNational Center for Geriatrics and Gerontology · JPRIKEN Center for Integrative Medical Sciences · JPNagoya City University · JPOsaka City University · JP

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEE-WAY JIN · 2021 to 2026
$25.2M
NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG072972
6 · The paper itself

Abstract

backgroundPolygenic effects have been proposed to account for some disease phenotypes; these effects are calculated as a polygenic risk score (PRS). This score is correlated with Alzheimer's disease (AD)-related phenotypes, such as biomarker abnormalities and brain atrophy, and is associated with conversion from mild cognitive impairment (MCI) to AD. However, the AD PRS has been examined mainly in Europeans, and owing to differences in genetic structure and lifestyle, it is unclear whether the same relationships between the PRS and AD-related phenotypes exist in non-European populations. In this study, we calculated and evaluated the AD PRS in Japanese individuals using genome-wide association study (GWAS) statistics from Europeans.

methodsIn this study, we calculated the AD PRS in 504 Japanese participants (145 cognitively unimpaired (CU) participants, 220 participants with late mild cognitive impairment (MCI), and 139 patients with mild AD dementia) enrolled in the Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) project. In order to evaluate the clinical value of this score, we (1) determined the polygenic effects on AD in the J-ADNI and validated it using two independent cohorts (a Japanese neuropathology (NP) cohort (n = 565) and the North American ADNI (NA-ADNI) cohort (n = 617)), (2) examined the AD-related phenotypes associated with the PRS, and (3) tested whether the PRS helps predict the conversion of MCI to AD.

resultsThe PRS using 131 SNPs had an effect independent of APOE. The PRS differentiated between CU participants and AD patients with an area under the curve (AUC) of 0.755 when combined with the APOE variants. Similar AUC was obtained when PRS calculated by the NP and NA-ADNI cohorts was applied. In MCI patients, the PRS was associated with cerebrospinal fluid phosphorylated-tau levels (β estimate = 0.235, p value = 0.026). MCI with a high PRS showed a significantly increased conversion to AD in APOE ε4 noncarriers with a hazard rate of 2.22. In addition, we also developed a PRS model adjusted for LD and observed similar results.

conclusionsWe showed that the AD PRS is useful in the Japanese population, whose genetic structure is different from that of the European population. These findings suggest that the polygenicity of AD is partially common across ethnic differences.

Indexed as

Alzheimer DiseaseCognitive DysfunctionApolipoproteins EBiomarkersGenetic Risk ScoreGenome-Wide Association StudyHumansJapanApolipoproteins EBiomarkersAlzheimer’s diseaseMild cognitive impairmentPolygenic risk score

Identifiers

PMID38414085
PMCPMC10898021
OpenAlexW4392200229

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Registered trials

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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.