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Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study.
Druley, Todd E; Wang, Lihua; Lin, Shiow J; Lee, Joseph H; Zhang, Qunyuan; Daw, E Warwick; Abel, Haley J; Chasnoff, Sara E; Ramos, Enrique I; Levinson, Benjamin T; Thyagarajan, Bharat; Newman, Anne B; Christensen, Kaare; Mayeux, Richard; Province, Michael A.
Afiliação
  • Druley TE; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Wang L; Department of Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Lin SJ; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Lee JH; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Zhang Q; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Daw EW; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Abel HJ; Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, New York, NY, USA.
  • Chasnoff SE; Taub Institute, College of Physicians and Surgeons, Columbia University New York, New York, NY, USA.
  • Ramos EI; Department of Epidemiology, School of Public Health, Columbia University New York, New York, NY, USA.
  • Levinson BT; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Thyagarajan B; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Newman AB; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Christensen K; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Mayeux R; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.
  • Province MA; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
BMC Geriatr ; 16: 80, 2016 Apr 09.
Article em En | MEDLINE | ID: mdl-27060904
ABSTRACT

BACKGROUND:

The Long Life Family Study (LLFS) is an international study to identify the genetic components of various healthy aging phenotypes. We hypothesized that pedigree-specific rare variants at longevity-associated genes could have a similar functional impact on healthy phenotypes.

METHODS:

We performed custom hybridization capture sequencing to identify the functional variants in 464 candidate genes for longevity or the major diseases of aging in 615 pedigrees (4,953 individuals) from the LLFS, using a multiplexed, custom hybridization capture. Variants were analyzed individually or as a group across an entire gene for association to aging phenotypes using family based tests.

RESULTS:

We found significant associations to three genes and nine single variants. Most notably, we found a novel variant significantly associated with exceptional survival in the 3' UTR OBFC1 in 13 individuals from six pedigrees. OBFC1 (chromosome 10) is involved in telomere maintenance, and falls within a linkage peak recently reported from an analysis of telomere length in LLFS families. Two different algorithms for single gene associations identified three genes with an enrichment of variation that was significantly associated with three phenotypes (GSK3B with the Healthy Aging Index, NOTCH1 with diastolic blood pressure and TP53 with serum HDL).

CONCLUSIONS:

Sequencing analysis of family-based associations for age-related phenotypes can identify rare or novel variants.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linhagem / Fenótipo / Estudos de Associação Genética / Sequenciamento de Nucleotídeos em Larga Escala / Longevidade Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Linhagem / Fenótipo / Estudos de Associação Genética / Sequenciamento de Nucleotídeos em Larga Escala / Longevidade Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2016 Tipo de documento: Article