TY - JOUR
T1 - Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity
AU - Joshi, Peter K
AU - Pirastu, Nicola
AU - Kentistou, Katherine A
AU - Fischer, Krista
AU - Hofer, Edith
AU - Schraut, Katharina E
AU - Clark, David W
AU - Nutile, Teresa
AU - Barnes, Catriona L K
AU - Timmers, Paul R H J
AU - Shen, Xia
AU - Gandin, Ilaria
AU - McDaid, Aaron F
AU - Hansen, Thomas Folkmann
AU - Gordon, Scott D
AU - Giulianini, Franco
AU - Boutin, Thibaud S
AU - Abdellaoui, Abdel
AU - Zhao, Wei
AU - Medina-Gomez, Carolina
AU - Bartz, Traci M
AU - Trompet, Stella
AU - Lange, Leslie A
AU - Raffield, Laura
AU - van der Spek, Ashley
AU - Galesloot, Tessel E
AU - Proitsi, Petroula
AU - Yanek, Lisa R
AU - Bielak, Lawrence F
AU - Payton, Antony
AU - Murgia, Federico
AU - Concas, Maria Pina
AU - Biino, Ginevra
AU - Tajuddin, Salman M
AU - Seppälä, Ilkka
AU - Amin, Najaf
AU - Boerwinkle, Eric
AU - Børglum, Anders D
AU - Campbell, Archie
AU - Demerath, Ellen W
AU - Demuth, Ilja
AU - Faul, Jessica D
AU - Ford, Ian
AU - Gialluisi, Alessandro
AU - Gögele, Martin
AU - Graff, MariaElisa
AU - Hingorani, Aroon
AU - Hottenga, Jouke-Jan
AU - Hougaard, David M
AU - Werge, Thomas
AU - Esko, Tõnu
AU - Kutalik, Zoltan
AU - Wilson, James F
AU - et al.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.
AB - Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.
KW - Alleles
KW - Body Mass Index
KW - Coronary Disease/blood
KW - Education
KW - Genetic Predisposition to Disease/genetics
KW - Genome-Wide Association Study
KW - HLA-DQ alpha-Chains/genetics
KW - HLA-DRB1 Chains/genetics
KW - Humans
KW - Insulin Resistance/genetics
KW - Life Style
KW - Lipoprotein(a)/genetics
KW - Lipoproteins, HDL/blood
KW - Longevity/genetics
KW - Lung Neoplasms/blood
KW - Obesity/complications
KW - Polymorphism, Single Nucleotide
KW - Smoking/adverse effects
KW - Socioeconomic Factors
U2 - 10.1038/s41467-017-00934-5
DO - 10.1038/s41467-017-00934-5
M3 - Journal article
C2 - 29030599
SN - 2041-1723
VL - 8
JO - Nature Communications
JF - Nature Communications
M1 - 910
ER -