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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 33 out of 100. Down syndrome and Alzheimer's

Topic: Brain proteins, microglia and lab models

Plain-language summary

Human trisomy 21 is the most frequent live-born human aneuploidy and causes a constellation of disease phenotypes classified as Down syndrome, which include heart defects, myeloproliferative disorder, cognitive disabilities and Alzheimer-type neurodegeneration. Because these phenotypes are associated with an extra copy of a human chromosome, the genetic analysis of Down syndrome has been a major challenge. To complement human genetic approaches, mouse models have been generated and analyzed based on evolutionary conservation between the human and mouse genomes. These efforts have been greatly facilitated by Cre/loxP-mediated mouse chromosome engineering, which may result in the establishment of minimal critical genomic regions and eventually new dosage-sensitive genes associated with Down syndrome phenotypes. The success in genetic analysis of Down syndrome will further enhance our understanding of this disorder and lead to better strategies in developing effective therapeutic interventions.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Zhang, L., Fu, D., Belichenko, P. V., Liu, C., Kleschevnikov, A. M., Pao, A., et al. (2012). Genetic analysis of Down syndrome facilitated by mouse chromosome engineering. Bioengineered bugs. https://doi.org/10.4161/bbug.3.1.17696

Vancouver

Zhang L, Fu D, Belichenko PV, Liu C, Kleschevnikov AM, Pao A, et al. Genetic analysis of Down syndrome facilitated by mouse chromosome engineering. Bioengineered bugs. 2012. doi:10.4161/bbug.3.1.17696. PMID: 22126738.

BibTeX

@article{zhang2012-22126738,
  author  = {Zhang, L. and Fu, D. and Belichenko, P. V. and Liu, C. and Kleschevnikov, A. M. and Pao, A. and Liang, P. and Clapcote, S. J. and others},
  title   = {{Genetic analysis of Down syndrome facilitated by mouse chromosome engineering}},
  journal = {Bioengineered bugs},
  year    = {2012},
  doi     = {10.4161/bbug.3.1.17696},
  pmid    = {22126738},
  url     = {https://doi.org/10.4161/bbug.3.1.17696}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

Key findings

Why it matters

This paper describes how mouse chromosome engineering can help identify genes involved in Down syndrome features, including Alzheimer-type neurodegeneration. It is a research approach and reports no treatment, cure or prevention for Alzheimer's disease.

Study details

How this study scored 33/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 1 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomized / blinded 0 of 2; Times cited 2 of 7; Citations per year 0 of 5; Impact for its field and year 2 of 6; Cited by studies here 1 of 6; Still being cited 0 of 4; Senior author's track record 2 of 4; Institution's track record 2 of 3; Multicenter collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 33 of 100.33 of 100 points earned67 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported and randomized / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Bioengineered bugs)
Journal's citation record 1 / 4 Bioengineered: journal h-index 87 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2012 — within 20 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Laboratory or animal study (title names “mouse”) — scores zero
Randomized / blinded 0 / 2 No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 11 times (OpenAlex, 2026-10-10)
Citations per year 0 / 5 0.7 citations a year over 16 year(s) since 2012
Impact for its field and year 2 / 6 Cited 2.0× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 2 other studies in this library
Still being cited 0 / 4 Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Yichao Yu: h-index 26 (OpenAlex, whole career)
Institution's track record 2 / 3 University of California San Diego: institution h-index 1,852 (OpenAlex)
Multicenter collaboration 2 / 3 OpenAlex lists 6 institution(s) in 4 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 22126738)
Free to read 0 / 2 Behind a paywall — scores zero
Total 33 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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