TY - JOUR T1 - Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease. JF - Nat Genet Y1 - 2014 A1 - Nalls, Mike A A1 - Pankratz, Nathan A1 - Lill, Christina M A1 - Do, Chuong B A1 - Hernandez, Dena G A1 - Saad, Mohamad A1 - DeStefano, Anita L A1 - Kara, Eleanna A1 - Bras, Jose A1 - Sharma, Manu A1 - Schulte, Claudia A1 - Keller, Margaux F A1 - Arepalli, Sampath A1 - Letson, Christopher A1 - Edsall, Connor A1 - Stefansson, Hreinn A1 - Liu, Xinmin A1 - Pliner, Hannah A1 - Lee, Joseph H A1 - Cheng, Rong A1 - Ikram, M Arfan A1 - Ioannidis, John P A A1 - Hadjigeorgiou, Georgios M A1 - Bis, Joshua C A1 - Martinez, Maria A1 - Perlmutter, Joel S A1 - Goate, Alison A1 - Marder, Karen A1 - Fiske, Brian A1 - Sutherland, Margaret A1 - Xiromerisiou, Georgia A1 - Myers, Richard H A1 - Clark, Lorraine N A1 - Stefansson, Kari A1 - Hardy, John A A1 - Heutink, Peter A1 - Chen, Honglei A1 - Wood, Nicholas W A1 - Houlden, Henry A1 - Payami, Haydeh A1 - Brice, Alexis A1 - Scott, William K A1 - Gasser, Thomas A1 - Bertram, Lars A1 - Eriksson, Nicholas A1 - Foroud, Tatiana A1 - Singleton, Andrew B KW - Case-Control Studies KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Parkinson Disease KW - Polymorphism, Single Nucleotide KW - Risk Factors AB -

We conducted a meta-analysis of Parkinson's disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were then tested in an independent set of 5,353 cases and 5,551 controls. Of the 32 tested SNPs, 24 replicated, including 6 newly identified loci. Conditional analyses within loci showed that four loci, including GBA, GAK-DGKQ, SNCA and the HLA region, contain a secondary independent risk variant. In total, we identified and replicated 28 independent risk variants for Parkinson's disease across 24 loci. Although the effect of each individual locus was small, risk profile analysis showed substantial cumulative risk in a comparison of the highest and lowest quintiles of genetic risk (odds ratio (OR) = 3.31, 95% confidence interval (CI) = 2.55-4.30; P = 2 × 10(-16)). We also show six risk loci associated with proximal gene expression or DNA methylation.

VL - 46 IS - 9 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25064009?dopt=Abstract ER - TY - JOUR T1 - Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. JF - Nat Commun Y1 - 2017 A1 - Joshi, Peter K A1 - Pirastu, Nicola A1 - Kentistou, Katherine A A1 - Fischer, Krista A1 - Hofer, Edith A1 - Schraut, Katharina E A1 - Clark, David W A1 - Nutile, Teresa A1 - Barnes, Catriona L K A1 - Timmers, Paul R H J A1 - Shen, Xia A1 - Gandin, Ilaria A1 - McDaid, Aaron F A1 - Hansen, Thomas Folkmann A1 - Gordon, Scott D A1 - Giulianini, Franco A1 - Boutin, Thibaud S A1 - Abdellaoui, Abdel A1 - Zhao, Wei A1 - Medina-Gómez, Carolina A1 - Bartz, Traci M A1 - Trompet, Stella A1 - Lange, Leslie A A1 - Raffield, Laura A1 - van der Spek, Ashley A1 - Galesloot, Tessel E A1 - Proitsi, Petroula A1 - Yanek, Lisa R A1 - Bielak, Lawrence F A1 - Payton, Antony A1 - Murgia, Federico A1 - Concas, Maria Pina A1 - Biino, Ginevra A1 - Tajuddin, Salman M A1 - Seppälä, Ilkka A1 - Amin, Najaf A1 - Boerwinkle, Eric A1 - Børglum, Anders D A1 - Campbell, Archie A1 - Demerath, Ellen W A1 - Demuth, Ilja A1 - Faul, Jessica D A1 - Ford, Ian A1 - Gialluisi, Alessandro A1 - Gögele, Martin A1 - Graff, Mariaelisa A1 - Hingorani, Aroon A1 - Hottenga, Jouke-Jan A1 - Hougaard, David M A1 - Hurme, Mikko A A1 - Ikram, M Arfan A1 - Jylhä, Marja A1 - Kuh, Diana A1 - Ligthart, Lannie A1 - Lill, Christina M A1 - Lindenberger, Ulman A1 - Lumley, Thomas A1 - Mägi, Reedik A1 - Marques-Vidal, Pedro A1 - Medland, Sarah E A1 - Milani, Lili A1 - Nagy, Reka A1 - Ollier, William E R A1 - Peyser, Patricia A A1 - Pramstaller, Peter P A1 - Ridker, Paul M A1 - Rivadeneira, Fernando A1 - Ruggiero, Daniela A1 - Saba, Yasaman A1 - Schmidt, Reinhold A1 - Schmidt, Helena A1 - Slagboom, P Eline A1 - Smith, Blair H A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Steinhagen-Thiessen, Elisabeth A1 - van Rooij, Frank J A A1 - Verbeek, André L A1 - Vermeulen, Sita H A1 - Vollenweider, Peter A1 - Wang, Yunpeng A1 - Werge, Thomas A1 - Whitfield, John B A1 - Zonderman, Alan B A1 - Lehtimäki, Terho A1 - Evans, Michele K A1 - Pirastu, Mario A1 - Fuchsberger, Christian A1 - Bertram, Lars A1 - Pendleton, Neil A1 - Kardia, Sharon L R A1 - Ciullo, Marina A1 - Becker, Diane M A1 - Wong, Andrew A1 - Psaty, Bruce M A1 - van Duijn, Cornelia M A1 - Wilson, James G A1 - Jukema, J Wouter A1 - Kiemeney, Lambertus A1 - Uitterlinden, André G A1 - Franceschini, Nora A1 - North, Kari E A1 - Weir, David R A1 - Metspalu, Andres A1 - Boomsma, Dorret I A1 - Hayward, Caroline A1 - Chasman, Daniel A1 - Martin, Nicholas G A1 - Sattar, Naveed A1 - Campbell, Harry A1 - Esko, Tõnu A1 - Kutalik, Zoltán A1 - Wilson, James F 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.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.

VL - 8 IS - 1 ER -