@article {8510,
	title = {{A meta-analysis of genome-wide association studies identifies multiple longevity genes},
	journal = {Nat Commun},
	volume = {10},
	year = {2019},
	month = {08},
	pages = {3669},
	abstract = {Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) {\^I}{\textmu}4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE {\^I}{\textmu}2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.},
	author = {Deelen, J. and Evans, D. S. and Arking, D. E. and Tesi, N. and Nygaard, M. and Liu, X. and Wojczynski, M. K. and Biggs, M. L. and van der Spek, A. and Atzmon, G. and Ware, E. B. and Sarnowski, C. and Smith, A. V. and Sepp?l?, I. and Cordell, H. J. and Dose, J. and Amin, N. and Arnold, A. M. and Ayers, K. L. and Barzilai, N. and Becker, E. J. and Beekman, M. and Blanch?, H. and Christensen, K. and Christiansen, L. and Collerton, J. C. and Cubaynes, S. and Cummings, S. R. and Davies, K. and Debrabant, B. and Deleuze, J. F. and Duncan, R. and Faul, J. D. and Franceschi, C. and Galan, P. and Gudnason, V. and Harris, T. B. and Huisman, M. and Hurme, M. A. and Jagger, C. and Jansen, I. and Jylh?, M. and K?h?nen, M. and Karasik, D. and Kardia, S. L. R. and Kingston, A. and Kirkwood, T. B. L. and Launer, L. J. and Lehtim?ki, T. and Lieb, W. and Lyytik?inen, L. P. and Martin-Ruiz, C. and Min, J. and Nebel, A. and Newman, A. B. and Nie, C. and Nohr, E. A. and Orwoll, E. S. and Perls, T. T. and Province, M. A. and Psaty, B. M. and Raitakari, O. T. and Reinders, M. J. T. and Robine, J. M. and Rotter, J. I. and Sebastiani, P. and Smith, J. and S?rensen, T. I. A. and Taylor, K. D. and Uitterlinden, A. G. and van der Flier, W. and van der Lee, S. J. and van Duijn, C. M. and van Heemst, D. and Vaupel, J. W. and Weir, D. and Ye, K. and Zeng, Y. and Zheng, W. and Holstege, H. and Kiel, D. P. and Lunetta, K. L. and Slagboom, P. E. and Murabito, J. M.}
}
@article {9310,
	title = {{A meta-analysis of genome-wide association studies identifies multiple longevity genes},
	journal = {Nat Commun},
	volume = {10},
	year = {2019},
	month = {Aug},
	pages = {3669},
	abstract = {2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.},
	author = {Deelen, J. and Evans, D. S. and Arking, D. E. and Tesi, N. and Nygaard, M. and Liu, X. and Wojczynski, M. K. and Biggs, M. L. and van der Spek, A. and Atzmon, G. and Ware, E. B. and Sarnowski, C. and Smith, A. V. and {\"a}, I. and Cordell, H. J. and Dose, J. and Amin, N. and Arnold, A. M. and Ayers, K. L. and Barzilai, N. and Becker, E. J. and Beekman, M. and {\'e}, H. and Christensen, K. and Christiansen, L. and Collerton, J. C. and Cubaynes, S. and Cummings, S. R. and Davies, K. and Debrabant, B. and Deleuze, J. F. and Duncan, R. and Faul, J. D. and Franceschi, C. and Galan, P. and Gudnason, V. and Harris, T. B. and Huisman, M. and Hurme, M. A. and Jagger, C. and Jansen, I. and {\"a}, M. and nen, M. and Karasik, D. and Kardia, S. L. R. and Kingston, A. and Kirkwood, T. B. L. and Launer, L. J. and ki, T. and Lieb, W. and inen, L. P. and Martin-Ruiz, C. and Min, J. and Nebel, A. and Newman, A. B. and Nie, C. and Nohr, E. A. and Orwoll, E. S. and Perls, T. T. and Province, M. A. and Psaty, B. M. and Raitakari, O. T. and Reinders, M. J. T. and Robine, J. M. and Rotter, J. I. and Sebastiani, P. and Smith, J. and rensen, T. I. A. and Taylor, K. D. and Uitterlinden, A. G. and van der Flier, W. and van der Lee, S. J. and van Duijn, C. M. and van Heemst, D. and Vaupel, J. W. and Weir, D. and Ye, K. and Zeng, Y. and Zheng, W. and Holstege, H. and Kiel, D. P. and Lunetta, K. L. and Slagboom, P. E. and Murabito, J. M.}
}
@article {8523,
	title = {{Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis},
	journal = {BMJ},
	volume = {366},
	year = {2019},
	month = {07},
	pages = {l4292},
	abstract = {{To investigate whether the genetic burden of type 2 diabetes modifies the association between the quality of dietary fat and the incidence of type 2 diabetes.\ Individual participant data meta-analysis.\ Eligible prospective cohort studies were systematically sourced from studies published between January 1970 and February 2017 through electronic searches in major medical databases (Medline, Embase, and Scopus) and discussion with investigators.\ Data from cohort studies or multicohort consortia with available genome-wide genetic data and information about the quality of dietary fat and the incidence of type 2 diabetes in participants of European descent was sought. Prospective cohorts that had accrued five or more years of follow-up were included. The type 2 diabetes genetic risk profile was characterized by a 68-variant polygenic risk score weighted by published effect sizes. Diet was recorded by using validated cohort-specific dietary assessment tools. Outcome measures were summary adjusted hazard ratios of incident type 2 diabetes for polygenic risk score, isocaloric replacement of carbohydrate (refined starch and sugars) with types of fat, and the interaction of types of fat with polygenic risk score.\ Of 102 305 participants from 15 prospective cohort studies, 20 015 type 2 diabetes cases were documented after a median follow-up of 12 years (interquartile range 9.4-14.2). The hazard ratio of type 2 diabetes per increment of 10 risk alleles in the polygenic risk score was 1.64 (95\% confidence interval 1.54 to 1.75},
	author = {Merino, J. and Guasch-Ferr?, M. and Ellervik, C. and Dashti, H. S. and Sharp, S. J. and Wu, P. and Overvad, K. and Sarnowski, C. and Kuokkanen, M. and Lemaitre, R. N. and Justice, A. E. and Ericson, U. and Braun, K. V. E. and Mahendran, Y. and Frazier-Wood, A. C. and Sun, D. and Chu, A. Y. and Tanaka, T. and Luan, J. and Hong, J. and Tj?nneland, A. and Ding, M. and Lundqvist, A. and Mukamal, K. and Rohde, R. and Schulz, C. A. and Franco, O. H. and Grarup, N. and Chen, Y. I. and Bazzano, L. and Franks, P. W. and Buring, J. E. and Langenberg, C. and Liu, C. T. and Hansen, T. and Jensen, M. K. and S??ksj?rvi, K. and Psaty, B. M. and Young, K. L. and Hindy, G. and Sandholt, C. H. and Ridker, P. M. and Ordovas, J. M. and Meigs, J. B. and Pedersen, O. and Kraft, P. and Perola, M. and North, K. E. and Orho-Melander, M. and Voortman, T. and Toft, U. and Rotter, J. I. and Qi, L. and Forouhi, N. G. and Mozaffarian, D. and S?rensen, T. I. A. and Stampfer, M. J. and M?nnist?, S. and Selvin, E. and Imamura, F. and Salomaa, V. and Hu, F. B. and Wareham, N. J. and Dupuis, J. and Smith, C. E. and Kilpel?inen, T. O. and Chasman, D. I. and Florez, J. C.}
}
@article {8634,
	title = {{Cerebral small vessel disease genomics and its implications across the lifespan},
	journal = {Nat Commun},
	volume = {11},
	year = {2020},
	month = {12},
	pages = {6285},
	abstract = {White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5{\~A}{\textemdash}10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.},
	author = {Sargurupremraj, M. and Suzuki, H. and Jian, X. and Sarnowski, C. and Evans, T. E. and Bis, J. C. and Eiriksdottir, G. and Sakaue, S. and Terzikhan, N. and Habes, M. and Zhao, W. and Armstrong, N. J. and Hofer, E. and Yanek, L. R. and Hagenaars, S. P. and Kumar, R. B. and van den Akker, E. B. and McWhirter, R. E. and Trompet, S. and Mishra, A. and Saba, Y. and Satizabal, C. L. and Beaudet, G. and Petit, L. and Tsuchida, A. and Zago, L. and Schilling, S. and Sigurdsson, S. and Gottesman, R. F. and Lewis, C. E. and Aggarwal, N. T. and Lopez, O. L. and Smith, J. A. and Vald?s Hern?ndez, M. C. and van der Grond, J. and Wright, M. J. and Knol, M. J. and D?rr, M. and Thomson, R. J. and Bordes, C. and Le Grand, Q. and Duperron, M. G. and Smith, A. V. and Knopman, D. S. and Schreiner, P. J. and Evans, D. A. and Rotter, J. I. and Beiser, A. S. and Maniega, S. M. and Beekman, M. and Trollor, J. and Stott, D. J. and Vernooij, M. W. and Wittfeld, K. and Niessen, W. J. and Soumar?, A. and Boerwinkle, E. and Sidney, S. and Turner, S. T. and Davies, G. and Thalamuthu, A. and V?lker, U. and van Buchem, M. A. and Bryan, R. N. and Dupuis, J. and Bastin, M. E. and Ames, D. and Teumer, A. and Amouyel, P. and Kwok, J. B. and B?low, R. and Deary, I. J. and Schofield, P. R. and Brodaty, H. and Jiang, J. and Tabara, Y. and Setoh, K. and Miyamoto, S. and Yoshida, K. and Nagata, M. and Kamatani, Y. and Matsuda, F. and Psaty, B. M. and Bennett, D. A. and De Jager, P. L. and Mosley, T. H. and Sachdev, P. S. and Schmidt, R. and Warren, H. R. and Evangelou, E. and Tr?gou?t, D. A. and Ikram, M. A. and Wen, W. and DeCarli, C. and Srikanth, V. K. and Jukema, J. W. and Slagboom, E. P. and Kardia, S. L. R. and Okada, Y. and Mazoyer, B. and Wardlaw, J. M. and Nyquist, P. A. and Mather, K. A. and Grabe, H. J. and Schmidt, H. and van Duijn, C. M. and Gudnason, V. and Longstreth, W. T. and Launer, L. J. and Lathrop, M. and Seshadri, S. and Tzourio, C. and Adams, H. H. and Matthews, P. M. and Fornage, M. and Debette, S. and Amouyel, P. and de Andrade, M. and Basu, S. and Berr, C. and Brody, J. A. and Chasman, D. I. and Dartigues, J. F. and Folsom, A. R. and Germain, M. and de Haan, H. and Heit, J. and Houwing-Duitermaat, J. and Kabrhel, C. and Kraft, P. and Legal, G. and Lindstr?m, S. and Monajemi, R. and Morange, P. E. and Psaty, B. M. and Reitsma, P. H. and Ridker, P. M. and Rose, L. M. and Rosendaal, F. R. and Saut, N. and Slagboom, E. and Smadja, D. and Smith, N. L. and Suchon, P. and Tang, W. and Taylor, K. D. and Tr?gou?t, D. A. and Tzourio, C. and de Visser, M. C. H. and van Hylckama Vlieg, A. and Weng, L. C. and Wiggins, K. L. and Gormley, P. and Anttila, V. and Winsvold, B. S. and Palta, P. and Esko, T. and Pers, T. H. and Farh, K. H. and Cuenca-Leon, E. and Muona, M. and Furlotte, N. A. and Kurth, T. and Ingason, A. and McMahon, G. and Ligthart, L. and Terwindt, G. M. and Kallela, M. and Freilinger, T. M. and Ran, C. and Gordon, S. G. and Stam, A. H. and Steinberg, S. and Borck, G. and Koiranen, M. and Quaye, L. and Adams, H. H. H. and Lehtim?ki, T. and Sarin, A. P. and Wedenoja, J. and Hinds, D. A. and Buring, J. E. and Sch?rks, M. and Ridker, P. M. and Gudlaug Hrafnsdottir, M. and Stefansson, H. and Ring, S. M. and Hottenga, J. J. and Penninx, B. W. J. H. and F?rkkil?, M. and Artto, V. and Kaunisto, M. and Veps?l?inen, S. and Malik, R. and Heath, A. C. and Madden, P. A. F. and Martin, N. G. and Montgomery, G. W. and Kurki, M. and Kals, M. and M?gi, R. and P?rn, K. and H?m?l?inen, E. and Huang, H. and Byrnes, A. E. and Franke, L. and Huang, J. and Stergiakouli, E. and Lee, P. H. and Sandor, C. and Webber, C. and Cader, Z. and Muller-Myhsok, B. and Schreiber, S. and Meitinger, T. and Eriksson, J. G. and Salomaa, V. and Heikkil?, K. and Loehrer, E. and Uitterlinden, A. G. and Hofman, A. and van Duijn, C. M. and Cherkas, L. and Pedersen, L. M. and Stubhaug, A. and Nielsen, C. S. and M?nnikk?, M. and Mihailov, E. and Milani, L. and G?bel, H. and Esserlind, A. L. and Francke Christensen, A. and Folkmann Hansen, T. and Werge, T. and Kaprio, J. and Aromaa, A. J. and Raitakari, O. and Ikram, M. A. and Spector, T. and J?rvelin, M. R. and Metspalu, A. and Kubisch, C. and Strachan, D. P. and Ferrari, M. D. and Belin, A. C. and Dichgans, M. and Wessman, M. and van den Maagdenberg, A. M. J. M. and Zwart, J. A. and Boomsma, D. I. and Davey Smith, G. and Stefansson, K. and Eriksson, N. and Daly, M. J. and Neale, B. M. and Olesen, J. and Chasman, D. I. and Nyholt, D. R. and Palotie, A.}
}
@article {8660,
	title = {{Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women},
	journal = {Nat Commun},
	volume = {12},
	year = {2021},
	month = {01},
	pages = {654},
	abstract = {Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9\% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 {\texttimes} 10-17), arthritis (GDF5 p = 4 {\texttimes} 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.},
	author = {Jones, G. and Trajanoska, K. and Santanasto, A. J. and Stringa, N. and Kuo, C. L. and Atkins, J. L. and Lewis, J. R. and Duong, T. and Hong, S. and Biggs, M. L. and Luan, J. and Sarnowski, C. and Lunetta, K. L. and Tanaka, T. and Wojczynski, M. K. and Cvejkus, R. and Nethander, M. and Ghasemi, S. and Yang, J. and Zillikens, M. C. and Walter, S. and Sicinski, K. and Kague, E. and Ackert-Bicknell, C. L. and Arking, D. E. and Windham, B. G. and Boerwinkle, E. and Grove, M. L. and Graff, M. and Spira, D. and Demuth, I. and Van der Velde, N. and de Groot, L. C. P. G. M. and Psaty, B. M. and Odden, M. C. and Fohner, A. E. and Langenberg, C. and Wareham, N. J. and Bandinelli, S. and van Schoor, N. M. and Huisman, M. and Tan, Q. and Zmuda, J. and Mellstr{\"o}m, D. and Karlsson, M. and Bennett, D. A. and Buchman, A. S. and De Jager, P. L. and Uitterlinden, A. G. and V{\"o}lker, U. and Kocher, T. and Teumer, A. and Rodrigu{\'e}z-Ma{\~n}as, L. and Garc{\'\i}a, F. J. and Carnicero, J. A. and Herd, P. and Bertram, L. and Ohlsson, C. and Murabito, J. M. and Melzer, D. and Kuchel, G. A. and Ferrucci, L. and Karasik, D. and Rivadeneira, F. and Kiel, D. P. and Pilling, L. C.}
}
@article {8999,
	title = {{Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation},
	journal = {Hum Genet},
	volume = {141},
	year = {2022},
	month = {Jan},
	pages = {127{\textendash}146},
	abstract = {).},
	author = {Longchamps, R. J. and Yang, S. Y. and Castellani, C. A. and Shi, W. and Lane, J. and Grove, M. L. and Bartz, T. M. and Sarnowski, C. and Liu, C. and Burrows, K. and Guyatt, A. L. and Gaunt, T. R. and Kacprowski, T. and Yang, J. and De Jager, P. L. and Yu, L. and Bergman, A. and Xia, R. and Fornage, M. and Feitosa, M. F. and Wojczynski, M. K. and Kraja, A. T. and Province, M. A. and Amin, N. and Rivadeneira, F. and Tiemeier, H. and Uitterlinden, A. G. and Broer, L. and van Meurs, J. B. J. and van Duijn, C. M. and Raffield, L. M. and Lange, L. and Rich, S. S. and Lemaitre, R. N. and Goodarzi, M. O. and Sitlani, C. M. and Mak, A. C. Y. and Bennett, D. A. and Rodriguez, S. and Murabito, J. M. and Lunetta, K. L. and Sotoodehnia, N. and Atzmon, G. and Ye, K. and Barzilai, N. and Brody, J. A. and Psaty, B. M. and Taylor, K. D. and Rotter, J. I. and Boerwinkle, E. and Pankratz, N. and Arking, D. E.}
}
@article {8996,
	title = {{Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project},
	journal = {Stroke},
	volume = {53},
	year = {2022},
	month = {Mar},
	pages = {875{\textendash}885},
	abstract = {Stroke is the leading cause of death and long-term disability worldwide. Previous genome-wide association studies identified 51 loci associated with stroke (mostly ischemic) and its subtypes among predominantly European populations. Using whole-genome sequencing in ancestrally diverse populations from the Trans-Omics for Precision Medicine (TOPMed) Program, we aimed to identify novel variants, especially low-frequency or ancestry-specific variants, associated with all stroke, ischemic stroke and its subtypes (large artery, cardioembolic, and small vessel), and hemorrhagic stroke and its subtypes (intracerebral and subarachnoid).\ Whole-genome sequencing data were available for 6833 stroke cases and 27 116 controls, including 22 315 European, 7877 Black, 2616 Hispanic/Latino, 850 Asian, 54 Native American, and 237 other ancestry participants. In TOPMed, we performed single variant association analysis examining 40 million common variants and aggregated association analysis focusing on rare variants. We also combined TOPMed European populations with over 28 000 additional European participants from the UK BioBank genome-wide array data through meta-analysis.\ .\ We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.},
	author = {Hu, Y. and Haessler, J. W. and Manansala, R. and Wiggins, K. L. and Moscati, A. and Beiser, A. and Heard-Costa, N. L. and Sarnowski, C. and Raffield, L. M. and Chung, J. and Marini, S. and Anderson, C. D. and Rosand, J. and Xu, H. and Sun, X. and Kelly, T. N. and Wong, Q. and Lange, L. A. and Rotter, J. I. and Correa, A. and Vasan, R. S. and Seshadri, S. and Rich, S. S. and Do, R. and Loos, R. J. F. and Longstreth, W. T. and Bis, J. C. and Psaty, B. M. and Tirschwell, D. L. and Assimes, T. L. and Silver, B. and Liu, S. and Jackson, R. and Wassertheil-Smoller, S. and Mitchell, B. D. and Fornage, M. and Auer, P. L. and Reiner, A. P. and Kooperberg, C.}
}
