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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 40 out of 100. Genetics

Topic: Risk, prevention and care in population studies

Identity-by-descent (IBD) mapping provides complementary signals to genome-wide association studies (GWASs) when multiple causal haplotypes or variants are present but not directly tested. We propose the difference between affected-affected and control-control IBD rates as an IBD mapping statistic. For our hypothesis test, we use a computationally efficient approach from the stochastic processes literature to derive genome-wide significance levels that control the family-wise error rate (FWER). Whole-genome simulations indicate that our method conservatively controls the FWER. We pair our IBD mapping approach with a selection scan and a validation procedure via phenotype randomization so that one can contrast results for evidence of confounding due to positive selection, sequencing artifacts, or population structure. We developed automated and reproducible workflows to phase haplotypes, call local ancestry probabilities, and perform the IBD mapping scan, the former two tasks being important preprocessing steps for haplotype analyses. We applied our methods to search for Alzheimer disease (AD) risk loci in the Alzheimer's Disease Sequencing Project (ADSP) genome data. We identified six genome-wide significant signals of AD risk among samples genetically similar to African and European reference populations and self-identified Amish samples. Some variants in the six risk loci we detected have previously been associated with AD, dementia, and memory decline, and four genes at two of these loci have already been nominated as therapeutic targets for AD. Overall, our scalable approach makes further use of large consortia resources, which are expensive to collect but provide insights into disease mechanisms.

Key findings

Why it matters

This methods paper describes a new identity-by-descent mapping approach for finding Alzheimer's disease risk loci and identified six genome-wide significant signals in African, European, and Amish samples. It is a statistical genetics method and does not test or propose a treatment, cure, or prevention.

Study details

How this study scored 40/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 5 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 1 of 7; Citations per year 0 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 0 of 4; Senior author's track record 2 of 4; Institution's track record 3 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 40 of 100.40 of 100 points earned60 not earned

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

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (The American Journal of Human Genetics)
Journal's citation record 3 / 4 The American Journal of Human Genetics: journal h-index 385 (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 5 / 5 2026 — within 1 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 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 1 / 7 Cited 1 times (OpenAlex, 2026-10-10)
Citations per year 0 / 5 0.5 citations a year over 2 year(s) since 2026
Impact for its field and year 3 / 6 Cited 4.0× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 0 / 4 Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Elizabeth Blue: h-index 31 (OpenAlex, whole career)
Institution's track record 3 / 3 University of Washington: institution h-index 3,540 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 41709460)
Free to read 2 / 2 Free to read
Total 40 / 100 —

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

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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

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 names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

APA 7th

Temple, S. D., Chapman, N. H., Choi, S. M., DeStefano, A. L., Thornton, T. A., Wijsman, E. M., et al. (2026). Multiple-testing corrections in case-control studies using identity-by-descent segments. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2026.01.013

Vancouver

Temple SD, Chapman NH, Choi SM, DeStefano AL, Thornton TA, Wijsman EM, et al. Multiple-testing corrections in case-control studies using identity-by-descent segments. The American Journal of Human Genetics. 2026. doi:10.1016/j.ajhg.2026.01.013. PMID: 41709460.

BibTeX

@article{temple2026-41709460,
  author  = {Temple, Seth D and Chapman, Nicola H. and Choi, Seung Min and DeStefano, Anita L. and Thornton, Timothy A. and Wijsman, Ellen Marie and Blue, Elizabeth},
  title   = {{Multiple-testing corrections in case-control studies using identity-by-descent segments}},
  journal = {The American Journal of Human Genetics},
  year    = {2026},
  doi     = {10.1016/j.ajhg.2026.01.013},
  pmid    = {41709460},
  url     = {https://doi.org/10.1016/j.ajhg.2026.01.013}
}

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