Cargando…
Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study
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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4826550/ https://www.ncbi.nlm.nih.gov/pubmed/27060904 http://dx.doi.org/10.1186/s12877-016-0253-y |
_version_ | 1782426353245618176 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Druley, Todd E. |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0253-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4826550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48265502016-04-10 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. BMC Geriatr Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0253-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-09 /pmc/articles/PMC4826550/ /pubmed/27060904 http://dx.doi.org/10.1186/s12877-016-0253-y Text en © Druley et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article 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. Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
title | Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
title_full | Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
title_fullStr | Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
title_full_unstemmed | Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
title_short | Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
title_sort | candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4826550/ https://www.ncbi.nlm.nih.gov/pubmed/27060904 http://dx.doi.org/10.1186/s12877-016-0253-y |
work_keys_str_mv | AT druleytodde candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT wanglihua candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT linshiowj candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT leejosephh candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT zhangqunyuan candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT dawewarwick candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT abelhaleyj candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT chasnoffsarae candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT ramosenriquei candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT levinsonbenjamint candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT thyagarajanbharat candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT newmananneb candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT christensenkaare candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT mayeuxrichard candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy AT provincemichaela candidategeneresequencingtoidentifyrarepedigreespecificvariantsinfluencinghealthyagingphenotypesinthelonglifefamilystudy |