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Analysis of high-risk pedigrees identifies 11 candidate variants for Alzheimer's disease.
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.
Afiliação
  • Teerlink CC; Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
  • Miller JB; Department of Biomedical Informatics, University of Kentucky Sanders-Brown Center on Aging, Lexington, Kentucky, USA.
  • Vance EL; Department of Biology, Brigham Young University, Provo, Utah, USA.
  • Staley LA; Department of Biology, Brigham Young University, Provo, Utah, USA.
  • Stevens J; Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
  • Tavana JP; Department of Biology, Brigham Young University, Provo, Utah, USA.
  • Cloward ME; Department of Biology, Brigham Young University, Provo, Utah, USA.
  • Page ML; Department of Biology, Brigham Young University, Provo, Utah, USA.
  • Dayton L; Department of Biology, Brigham Young University, Provo, Utah, USA.
  • Cannon-Albright LA; Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
  • Kauwe JSK; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA.
Alzheimers Dement ; 18(2): 307-317, 2022 02.
Article em En | MEDLINE | ID: mdl-34151536
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Alzheimers Dement Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Alzheimers Dement Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos