Topic: Brain proteins, microglia and lab models
Imprinted genes are epigenetically modified genes whose expression is determined according to their parent of origin. They are involved in embryonic development, and imprinting dysregulation is linked to cancer, obesity, diabetes, and behavioral disorders such as autism and bipolar disease. Herein, we train a statistical model based on DNA sequence characteristics that not only identifies potentially imprinted genes, but also predicts the parental allele from which they are expressed. Of 23,788 annotated autosomal mouse genes, our model identifies 600 (2.5%) to be potentially imprinted, 64% of which are predicted to exhibit maternal expression. These predictions allowed for the identification of putative candidate genes for complex conditions where parent-of-origin effects are involved, including Alzheimer disease, autism, bipolar disorder, diabetes, male sexual orientation, obesity, and schizophrenia. We observe that the number, type, and relative orientation of repeated elements flanking a gene are particularly important in predicting whether a gene is imprinted.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Luedi, P. P., Hartemink, A. J., & Jirtle, R. L. (2005). Genome-wide prediction of imprinted murine genes. Genome research. https://doi.org/10.1101/gr.3303505
Vancouver
Luedi PP, Hartemink AJ, Jirtle RL. Genome-wide prediction of imprinted murine genes. Genome research. 2005. doi:10.1101/gr.3303505. PMID: 15930497.
BibTeX
@article{luedi2005-15930497,
author = {Luedi, P. P. and Hartemink, A. J. and Jirtle, R. L.},
title = {{Genome-wide prediction of imprinted murine genes}},
journal = {Genome research},
year = {2005},
doi = {10.1101/gr.3303505},
pmid = {15930497},
url = {https://doi.org/10.1101/gr.3303505}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- They are involved in embryonic development, and imprinting dysregulation is linked to cancer, obesity, diabetes, and behavioral disorders such as autism and bipolar disease.
- Herein, we train a statistical model based on DNA sequence characteristics that not only identifies potentially imprinted genes, but also predicts the parental allele from which they are expressed.
- Of 23,788 annotated autosomal mouse genes, our model identifies 600 (2.5%) to be potentially imprinted, 64% of which are predicted to exhibit maternal expression.
- These predictions allowed for the identification of putative candidate genes for complex conditions where parent-of-origin effects are involved, including Alzheimer disease, autism, bipolar disorder, diabetes, male sexual orientation, obesity, and schizophrenia.
- We observe that the number, type, and relative orientation of repeated elements flanking a gene are particularly important in predicting whether a gene is imprinted.
Why it matters
This work used a statistical model in mice to predict potentially imprinted genes, including some put forward as candidate genes for conditions where parent-of-origin effects are involved, such as Alzheimer disease. It is a prediction study in mice and does not show that these genes cause or can be used to treat Alzheimer disease.
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Study details
- Effect size2.5%
- Evidence strengthLow
How this study scored 44/100
Published in a peer-reviewed journal. Scored zero for study design, sample size and randomized / blinded because the record does not state it. We have no data on impact for its field and year, so that was left out: it earned 41 of the 94 points we could judge it on, which is 44 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Genome research) |
| Journal's citation record | 3 / 4 | Genome Research: journal h-index 399 (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 | 2005 — older than 20 years, still counted |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 0 / 3 | Laboratory or animal study (title names “murine”) — scores zero |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 259 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 11.3 citations a year over 23 year(s) since 2005 |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 6 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Randy L. Jirtle: h-index 76 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | Duke University: institution h-index 1,541 (OpenAlex) |
| Multicenter collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 15930497) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 41 / 94 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 41 of the 94 points we could judge it on is 44 out of 100. |
| Total | 44 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — PubMed Central lists this copy as free to read: the link above (checked 10 Oct 2026).
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