TY - JOUR
T1 - Genetics of human longevity from incomplete data
T2 - New findings from the long life family study
AU - Yashin, Anatoliy I.
AU - Arbeev, Konstantin G.
AU - Wu, Deqing
AU - Arbeeva, Liubov S.
AU - Bagley, Olivia
AU - Stallard, Eric
AU - Kulminski, Alexander M.
AU - Akushevich, Igor
AU - Fang, Fang
AU - Wojczynski, Mary K.
AU - Christensen, Kaare
AU - Newman, Anne B.
AU - Boudreau, Robert M.
AU - Province, Michael A.
AU - Thielke, Stephen
AU - Perls, Thomas T.
AU - An, Ping
AU - Elo, Irma
AU - Ukraintseva, Svetlana V.
N1 - Funding Information:
This work was supported by the National Institute on Aging, National Institutes of Health (NIA/NIH) grantU01 AG023712. The work of A.I.Y., K.A., D.W., O.B., A.K., I.C., M.K., I.Z., E.S., and S.U. was also partly supported by the NIA/NIH grants R01AG046860 and P01AG043352. The Long Life Family Study is funded by U01 AG023749, U01 AG023744, and U01 AG023712 from the National Institute on Aging, National Institutes of Health. The Health and Retirement Study genetic data is sponsored by the National Institute on Aging (grant numbers U01 AG009740, RC2 AG036495, and RC4 AG039029) and was conducted by the University of Michigan. This study used data provided by the database of Genotypes and Phenotypes (dbGaP), dbGaP Study Accession: phs000428.v1.p1.
Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved.
PY - 2018/10/8
Y1 - 2018/10/8
N2 - The special design of the Long Life Family Study provides a unique opportunity to investigate the genetics of human longevity by analyzing data on exceptional lifespans in families. In this article, we performed two series of genome wide association studies of human longevity which differed with respect to whether missing lifespan data were predicted or not predicted. We showed that the use of predicted lifespan is most beneficial when the follow-up period is relatively short. In addition to detection of strong associations of SNPs in APOE, TOMM40, NECTIN2, and APOC1 genes with longevity, we also detected a strong new association with longevity of rs1927465, located between the CYP26A1 and MYOF genes on chromosome 10. The association was confirmed using data from the Health and Retirement Study. We discuss the biological relevance of the detected SNPs to human longevity.
AB - The special design of the Long Life Family Study provides a unique opportunity to investigate the genetics of human longevity by analyzing data on exceptional lifespans in families. In this article, we performed two series of genome wide association studies of human longevity which differed with respect to whether missing lifespan data were predicted or not predicted. We showed that the use of predicted lifespan is most beneficial when the follow-up period is relatively short. In addition to detection of strong associations of SNPs in APOE, TOMM40, NECTIN2, and APOC1 genes with longevity, we also detected a strong new association with longevity of rs1927465, located between the CYP26A1 and MYOF genes on chromosome 10. The association was confirmed using data from the Health and Retirement Study. We discuss the biological relevance of the detected SNPs to human longevity.
KW - CYP26A1
KW - GWAS of human longevity
KW - Lifespan prediction
KW - MYOF
KW - rs1927465
UR - http://www.scopus.com/inward/record.url?scp=85054771360&partnerID=8YFLogxK
U2 - 10.1093/gerona/gly057
DO - 10.1093/gerona/gly057
M3 - Article
C2 - 30299504
AN - SCOPUS:85054771360
SN - 1079-5006
VL - 73
SP - 1472
EP - 1481
JO - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
JF - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
IS - 11
ER -