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Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.


ABSTRACT: 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.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

SUBMITTER: Joshi PK 

PROVIDER: S-EPMC5715013 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.

Joshi Peter K PK   Pirastu Nicola N   Kentistou Katherine A KA   Fischer Krista K   Hofer Edith E   Schraut Katharina E KE   Clark David W DW   Nutile Teresa T   Barnes Catriona L K CLK   Timmers Paul R H J PRHJ   Shen Xia X   Gandin Ilaria I   McDaid Aaron F AF   Hansen Thomas Folkmann TF   Gordon Scott D SD   Giulianini Franco F   Boutin Thibaud S TS   Abdellaoui Abdel A   Zhao Wei W   Medina-Gomez Carolina C   Bartz Traci M TM   Trompet Stella S   Lange Leslie A LA   Raffield Laura L   van der Spek Ashley A   Galesloot Tessel E TE   Proitsi Petroula P   Yanek Lisa R LR   Bielak Lawrence F LF   Payton Antony A   Murgia Federico F   Concas Maria Pina MP   Biino Ginevra G   Tajuddin Salman M SM   Seppälä Ilkka I   Amin Najaf N   Boerwinkle Eric E   Børglum Anders D AD   Campbell Archie A   Demerath Ellen W EW   Demuth Ilja I   Faul Jessica D JD   Ford Ian I   Gialluisi Alessandro A   Gögele Martin M   Graff MariaElisa M   Hingorani Aroon A   Hottenga Jouke-Jan JJ   Hougaard David M DM   Hurme Mikko A MA   Ikram M Arfan MA   Jylhä Marja M   Kuh Diana D   Ligthart Lannie L   Lill Christina M CM   Lindenberger Ulman U   Lumley Thomas T   Mägi Reedik R   Marques-Vidal Pedro P   Medland Sarah E SE   Milani Lili L   Nagy Reka R   Ollier William E R WER   Peyser Patricia A PA   Pramstaller Peter P PP   Ridker Paul M PM   Rivadeneira Fernando F   Ruggiero Daniela D   Saba Yasaman Y   Schmidt Reinhold R   Schmidt Helena H   Slagboom P Eline PE   Smith Blair H BH   Smith Jennifer A JA   Sotoodehnia Nona N   Steinhagen-Thiessen Elisabeth E   van Rooij Frank J A FJA   Verbeek André L AL   Vermeulen Sita H SH   Vollenweider Peter P   Wang Yunpeng Y   Werge Thomas T   Whitfield John B JB   Zonderman Alan B AB   Lehtimäki Terho T   Evans Michele K MK   Pirastu Mario M   Fuchsberger Christian C   Bertram Lars L   Pendleton Neil N   Kardia Sharon L R SLR   Ciullo Marina M   Becker Diane M DM   Wong Andrew A   Psaty Bruce M BM   van Duijn Cornelia M CM   Wilson James G JG   Jukema J Wouter JW   Kiemeney Lambertus L   Uitterlinden André G AG   Franceschini Nora N   North Kari E KE   Weir David R DR   Metspalu Andres A   Boomsma Dorret I DI   Hayward Caroline C   Chasman Daniel D   Martin Nicholas G NG   Sattar Naveed N   Campbell Harry H   Esko Tōnu T   Kutalik Zoltán Z   Wilson James F JF  

Nature communications 20171013 1


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  ...[more]

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