| Autor: |
Teerlink, Craig C., Miller, Justin B., Vance, Elizabeth L., Staley, Lyndsay A., Stevens, Jeffrey, Tavana, Justina P., Cloward, Matthew E., Page, Madeline L., Dayton, Louisa, Cannon‐Albright, Lisa A., Kauwe, John S.K. |
| Zdroj: |
Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Feb2022, Vol. 18 Issue 2, p307-317, 11p |
| Abstrakt: |
Introduction: Analysis of sequence data in high‐risk pedigrees is a powerful approach to detect rare predisposition variants. Methods: Rare, shared candidate predisposition variants were identified from exome sequencing 19 Alzheimer's disease (AD)‐affected cousin pairs selected from high‐risk pedigrees. Variants were further prioritized by risk association in various external datasets. Candidate variants emerging from these analyses were tested for co‐segregation to additional affected relatives of the original sequenced pedigree members. Results: AD‐affected high‐risk cousin pairs contained 564 shared rare variants. Eleven variants spanning 10 genes were prioritized in external datasets: rs201665195 (ABCA7), and rs28933981 (TTR) were previously implicated in AD pathology; rs141402160 (NOTCH3) and rs140914494 (NOTCH3) were previously reported; rs200290640 (PIDD1) and rs199752248 (PIDD1) were present in more than one cousin pair; rs61729902 (SNAP91), rs140129800 (COX6A2, AC026471), and rs191804178 (MUC16) were not present in a longevity cohort; and rs148294193 (PELI3) and rs147599881 (FCHO1) approached significance from analysis of AD‐related phenotypes. Three variants were validated via evidence of co‐segregation to additional relatives (PELI3, ABCA7, and SNAP91). Discussion: These analyses support ABCA7 and TTR as AD risk genes, expand on previously reported NOTCH3 variant identification, and prioritize seven additional candidate variants. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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