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2. Prospective Effects of Self-Rated Health on Dementia Risk in Two Twin Studies of Aging

Author

Pilgrim, M. J. D., Beam, C. R., Nygaard, M., Finkel, Deborah, Pilgrim, M. J. D., Beam, C. R., Nygaard, M., and Finkel, Deborah

Abstract

Subjective health ratings are associated with dementia risk such that those who rate their health more poorly have increased risk for dementia. The genetic and environmental mechanisms underlying this association are unclear, as prior research cannot rule out whether the association is due to genetic confounds. The current study addresses this gap in two samples of twins, one from Sweden (N = 548) and one from Denmark (N = 4,373). Using genetically-informed, bivariate regression models, we assessed whether additive genetic effects explained the association between subjective health and dementia risk as indexed by a latent variable proxy measure. Age at intake, sex, education, depressive symptomatology, and follow-up time between subjective health and dementia risk assessments were included as covariates. Results indicate that genetic variance and other sources of confounding accounted for the majority of the effect of subjective health ratings on dementia risk. After adjusting for genetic confounding and other covariates, a small correlation was observed between subjective health and latent dementia risk in the Danish sample (rE = −.09, p <.05). The results provide further support for the genetic association between subjective health and dementia risk, and also suggest that subjective ratings of health measures may be useful for predicting dementia risk.

Published
2024
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3. Decoding the historical tale: COVID-19 impact on haematological malignancy patients—EPICOVIDEHA insights from 2020 to 2022

Author

Salmanton-Garcia, J., Marchesi, F., Farina, F., Weinbergerova, B., Itri, F., Davila-Valls, J., Martin-Perez, S., Glenthoj, A., Hersby, D. S., Gomes da Silva, M., Nunes Rodrigues, R., Lopez-Garcia, A., Cordoba, R., Bilgin, Y. M., Falces-Romero, I., El-Ashwah, S., Emarah, Z., Besson, C., Kohn, M., Van Doesum, J., Ammatuna, E., Marchetti, M., Labrador, J., Zambrotta, G. P. M., Verga, L., Jaksic, O., Nucci, M., Piukovics, K., Cabirta-Touzon, A., Jimenez, M., Arellano, E., Espigado, I., Blennow, O., Nordlander, A., Meers, S., van Praet, J., Aiello, T. F., Garcia-Vidal, C., Fracchiolla, N., Sciume, M., Seval, G. C., Zak, P., Buquicchio, C., Tascini, C., Grafe, S. K., Schonlein, M., Adzic-Vukicevic, T., Bonuomo, V., Cattaneo, C., Nizamuddin, S., Cernan, M., Plantefeve, G., Prin, R., Szotkovski, T., Collins, G. P., Dargenio, M., Petzer, V., Wolf, D., Colovic, N., Prezioso, L., Valkovic, T., Passamonti, F., Mendez, G. -A., Sili, U., Vena, A., Bavastro, M., Limongelli, A., Duarte, R. F., Ledoux, M. -P., Cvetanoski, M., Stojanoski, Z., Machado, M., Batinic, J., Magliano, G., Biernat, M. M., Pantic, N., Poulsen, C. B., Cuccaro, A., Del Principe, M. I., Kulasekararaj, A., Ormazabal-Velez, I., Busca, A., Demirkan, F., Ijaz, M., Klimko, N., Stoma, I., Khostelidi, S., Fernandez, N., Omrani, A. S., Bergantim, R., De Jonge, N., Fouquet, G., Navratil, M., Abu-Zeinah, G., Samarkos, M., Maertens, J., De Ramon, C., Guidetti, A., Magyari, F., Gonzalez-Lopez, T. J., Lahmer, T., Finizio, O., Ali, N., Pinczes, L. I., Lavilla-Rubira, E., Romano, A., Merelli, M., Delia, M., Calbacho, M., Meletiadis, J., Antic, D., Hernandez-Rivas, J. -A., Marques de Almeida, J., Al-Khabori, M., Hoenigl, M., Tisi, M. C., Khanna, N., Barac, A., Eisa, N., Di Blasi, R., Lievin, R., Miranda-Castillo, C., Bahr, N. C., Lamure, S., Papa, M. V., Yahya, A., Aujayeb, A., Novak, J., Erben, N., Fernandez-Galan, M., Ribera-Santa Susana, J. -M., Rinaldi, I., Fazzi, R., Piedimonte, M., Dulery, R., Gonzaga, Y., Soto-Silva, A., Sapienza, G., Serris, A., Drgona, Groh, A., Serrano, L., Gavriilaki, E., Tragiannidis, A., Prattes, J., Coppola, N., Otasevic, V., Mladenovic, M., Mitrovic, M., Miskovic, B., Jindra, P., Zompi, S., Sacchi, M. V., Krekeler, C., Infante, M. S., Garcia-Bordallo, D., Colak, G. M., Mayer, J., Nygaard, M., Hanakova, M., Racil, Z., Bonanni, Matteo, Koehler, P., Rahimli, L., Cornely, O. A., Pagano, Livio, Martin-Vallejo, F. J., Zdziarski, P., Zarrinfer, H., Wittig, J., Win, S., Wai-Man, V., Visek, B., Vinh, D. C., Vehreschild, M., Varricchio, G., Tsirigotis, P., Torres-Tienza, A., Tanase, A. D., Tafuri, A., Stamouli, M., Sramek, J., Soussain, C., Shirinova, A., Schubert, J., Schalk, E., Salehi, M. R., Saleh, M., Rosati, G., Roldan, E., Reizine, F., Rego, M., Regalado-Artamendi, I., Popova, M., Pinto, F., Philippe, L., Orth, H. M., Ommen, H. -B., Obr, A., Nunez-Martin-Buitrago, L., Noel, N., Neuhann, J., Nadali, G., Nacov, J. A., Munhoz Alburquerque, A. M., Mitra, M. E., Mikulska, M., Mellinghoff, S., Mechtel, B., Martin-Gonzalez, J. -A., Malak, S., Loureiro-Amigo, J., Lorenzo De La Pena, L., Liberti, G., Landau, M., Lacej, I., Kolditz, M., Kho, C. S., Khedr, R. A., Karthaus, M., Karlsson, L. K., Jimenez-Lorenzo, M. -J., Izuzquiza, M., Hoell-Neugebauer, B., Herbrecht, R., Heath, C. H., Guolo, F., Grothe, J., Giordano, A., Gerasymchuk, S., Garcia-Sanz, R., Garcia-Pouton, N., Funke, V. A. M., Fung, M., Flasshove, C., Fianchi, Luana, Essame, J., Egger, M., Drenou, B., Dragonetti, G., Desole, M., Della Pepa, R., Deau Fischer, B., De Kort, E., De Cabo, E., Danion, F., Daguindau, E., Cushion, T., Cremer, L., Criscuolo, Marianna, Cordini, G., Cingolani, Antonella, Ciceri, F., Chowdhury, F. R., Chelysheva, E., Chauchet, A., Chai, L. Y. A., Ceesay, M. M., Busch, E., Brehon, M., Borducchi, D. M. M., Booth, S., Bologna, S., Berg Venemyr, C., Bailen-Almorox, R., Antoniadou, A., Anastasopoulou, A. N., Altuntas, F., Bonanni M., Pagano L. (ORCID:0000-0001-8287-928X), Fianchi L., Criscuolo M., Cingolani A. (ORCID:0000-0002-3793-2755), Salmanton-Garcia, J., Marchesi, F., Farina, F., Weinbergerova, B., Itri, F., Davila-Valls, J., Martin-Perez, S., Glenthoj, A., Hersby, D. S., Gomes da Silva, M., Nunes Rodrigues, R., Lopez-Garcia, A., Cordoba, R., Bilgin, Y. M., Falces-Romero, I., El-Ashwah, S., Emarah, Z., Besson, C., Kohn, M., Van Doesum, J., Ammatuna, E., Marchetti, M., Labrador, J., Zambrotta, G. P. M., Verga, L., Jaksic, O., Nucci, M., Piukovics, K., Cabirta-Touzon, A., Jimenez, M., Arellano, E., Espigado, I., Blennow, O., Nordlander, A., Meers, S., van Praet, J., Aiello, T. F., Garcia-Vidal, C., Fracchiolla, N., Sciume, M., Seval, G. C., Zak, P., Buquicchio, C., Tascini, C., Grafe, S. K., Schonlein, M., Adzic-Vukicevic, T., Bonuomo, V., Cattaneo, C., Nizamuddin, S., Cernan, M., Plantefeve, G., Prin, R., Szotkovski, T., Collins, G. P., Dargenio, M., Petzer, V., Wolf, D., Colovic, N., Prezioso, L., Valkovic, T., Passamonti, F., Mendez, G. -A., Sili, U., Vena, A., Bavastro, M., Limongelli, A., Duarte, R. F., Ledoux, M. -P., Cvetanoski, M., Stojanoski, Z., Machado, M., Batinic, J., Magliano, G., Biernat, M. M., Pantic, N., Poulsen, C. B., Cuccaro, A., Del Principe, M. I., Kulasekararaj, A., Ormazabal-Velez, I., Busca, A., Demirkan, F., Ijaz, M., Klimko, N., Stoma, I., Khostelidi, S., Fernandez, N., Omrani, A. S., Bergantim, R., De Jonge, N., Fouquet, G., Navratil, M., Abu-Zeinah, G., Samarkos, M., Maertens, J., De Ramon, C., Guidetti, A., Magyari, F., Gonzalez-Lopez, T. J., Lahmer, T., Finizio, O., Ali, N., Pinczes, L. I., Lavilla-Rubira, E., Romano, A., Merelli, M., Delia, M., Calbacho, M., Meletiadis, J., Antic, D., Hernandez-Rivas, J. -A., Marques de Almeida, J., Al-Khabori, M., Hoenigl, M., Tisi, M. C., Khanna, N., Barac, A., Eisa, N., Di Blasi, R., Lievin, R., Miranda-Castillo, C., Bahr, N. C., Lamure, S., Papa, M. V., Yahya, A., Aujayeb, A., Novak, J., Erben, N., Fernandez-Galan, M., Ribera-Santa Susana, J. -M., Rinaldi, I., Fazzi, R., Piedimonte, M., Dulery, R., Gonzaga, Y., Soto-Silva, A., Sapienza, G., Serris, A., Drgona, Groh, A., Serrano, L., Gavriilaki, E., Tragiannidis, A., Prattes, J., Coppola, N., Otasevic, V., Mladenovic, M., Mitrovic, M., Miskovic, B., Jindra, P., Zompi, S., Sacchi, M. V., Krekeler, C., Infante, M. S., Garcia-Bordallo, D., Colak, G. M., Mayer, J., Nygaard, M., Hanakova, M., Racil, Z., Bonanni, Matteo, Koehler, P., Rahimli, L., Cornely, O. A., Pagano, Livio, Martin-Vallejo, F. J., Zdziarski, P., Zarrinfer, H., Wittig, J., Win, S., Wai-Man, V., Visek, B., Vinh, D. C., Vehreschild, M., Varricchio, G., Tsirigotis, P., Torres-Tienza, A., Tanase, A. D., Tafuri, A., Stamouli, M., Sramek, J., Soussain, C., Shirinova, A., Schubert, J., Schalk, E., Salehi, M. R., Saleh, M., Rosati, G., Roldan, E., Reizine, F., Rego, M., Regalado-Artamendi, I., Popova, M., Pinto, F., Philippe, L., Orth, H. M., Ommen, H. -B., Obr, A., Nunez-Martin-Buitrago, L., Noel, N., Neuhann, J., Nadali, G., Nacov, J. A., Munhoz Alburquerque, A. M., Mitra, M. E., Mikulska, M., Mellinghoff, S., Mechtel, B., Martin-Gonzalez, J. -A., Malak, S., Loureiro-Amigo, J., Lorenzo De La Pena, L., Liberti, G., Landau, M., Lacej, I., Kolditz, M., Kho, C. S., Khedr, R. A., Karthaus, M., Karlsson, L. K., Jimenez-Lorenzo, M. -J., Izuzquiza, M., Hoell-Neugebauer, B., Herbrecht, R., Heath, C. H., Guolo, F., Grothe, J., Giordano, A., Gerasymchuk, S., Garcia-Sanz, R., Garcia-Pouton, N., Funke, V. A. M., Fung, M., Flasshove, C., Fianchi, Luana, Essame, J., Egger, M., Drenou, B., Dragonetti, G., Desole, M., Della Pepa, R., Deau Fischer, B., De Kort, E., De Cabo, E., Danion, F., Daguindau, E., Cushion, T., Cremer, L., Criscuolo, Marianna, Cordini, G., Cingolani, Antonella, Ciceri, F., Chowdhury, F. R., Chelysheva, E., Chauchet, A., Chai, L. Y. A., Ceesay, M. M., Busch, E., Brehon, M., Borducchi, D. M. M., Booth, S., Bologna, S., Berg Venemyr, C., Bailen-Almorox, R., Antoniadou, A., Anastasopoulou, A. N., Altuntas, F., Bonanni M., Pagano L. (ORCID:0000-0001-8287-928X), Fianchi L., Criscuolo M., and Cingolani A. (ORCID:0000-0002-3793-2755)

Abstract

Background: The COVID-19 pandemic heightened risks for individuals with hematological malignancies due to compromised immune systems, leading to more severe outcomes and increased mortality. While interventions like vaccines, targeted antivirals, and monoclonal antibodies have been effective for the general population, their benefits for these patients may not be as pronounced. Methods: The EPICOVIDEHA registry (National Clinical Trials Identifier, NCT04733729) gathers COVID-19 data from hematological malignancy patients since the pandemic's start worldwide. It spans various global locations, allowing comprehensive analysis over the first three years (2020–2022). Findings: The EPICOVIDEHA registry collected data from January 2020 to December 2022, involving 8767 COVID-19 cases in hematological malignancy patients from 152 centers across 41 countries, with 42% being female. Over this period, there was a significant reduction in critical infections and an overall decrease in mortality from 29% to 4%. However, hospitalization, particularly in the ICU, remained associated with higher mortality rates. Factors contributing to increased mortality included age, multiple comorbidities, active malignancy at COVID-19 onset, pulmonary symptoms, and hospitalization. On the positive side, vaccination with one to two doses or three or more doses, as well as encountering COVID-19 in 2022, were associated with improved survival. Interpretation: Patients with hematological malignancies still face elevated risks, despite reductions in critical infections and overall mortality rates over time. Hospitalization, especially in ICUs, remains a significant concern. The study underscores the importance of vaccination and the timing of COVID-19 exposure in 2022 for enhanced survival in this patient group. Ongoing monitoring and targeted interventions are essential to support this vulnerable population, emphasizing the critical role of timely diagnosis and prompt treatment in preventing severe

Published
2024

4. Remember this : Age moderation of genetic and environmental contributions to verbal episodic memory from midlife through late adulthood

Author

Luczak, S. E., Beam, C. R., Pahlen, S., Lynch, M., Pilgrim, M., Reynolds, C. A., Panizzon, M. S., Catts, V. S., Christensen, K., Finkel, Deborah, Franz, C. E., Kremen, W. S., Lee, T., McGue, M., Nygaard, M., Plassman, B. L., Whitfield, K. E., Pedersen, N. L., Gatz, M., Luczak, S. E., Beam, C. R., Pahlen, S., Lynch, M., Pilgrim, M., Reynolds, C. A., Panizzon, M. S., Catts, V. S., Christensen, K., Finkel, Deborah, Franz, C. E., Kremen, W. S., Lee, T., McGue, M., Nygaard, M., Plassman, B. L., Whitfield, K. E., Pedersen, N. L., and Gatz, M.

Abstract

It is well documented that memory is heritable and that older adults tend to have poorer memory performance than younger adults. However, whether the magnitudes of genetic and environmental contributions to late-life verbal episodic memory ability differ from those at earlier ages remains unresolved. Twins from 12 studies participating in the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortium constituted the analytic sample. Verbal episodic memory was assessed with immediate word list recall (N = 35,204 individuals; 21,792 twin pairs) and prose recall (N = 3805 individuals; 2028 twin pairs), with scores harmonized across studies. Average test performance was lower in successively older age groups for both measures. Twin models found significant age moderation for both measures, with total inter-individual variance increasing significantly with age, although it was not possible definitively to attribute the increase specifically to either genetic or environmental sources. Pooled results across all 12 studies were compared to results where we successively dropped each study (leave-one-out) to assure results were not due to an outlier. We conclude the models indicated an overall increase in variance for verbal episodic memory that was driven by a combination of increases in the genetic and nonshared environmental parameters that were not independently statistically significant. In contrast to reported results for other cognitive domains, differences in environmental exposures are comparatively important for verbal episodic memory, especially word list learning.

Published
2023
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5. Validation of the type 1 diabetes distress scale (T1-DDS) in a large Danish cohort:Content validation and psychometric properties

Author

Joensen, L. E., Lindgreen, P., Olesen, K., Nygaard, M., Hessler, D., Andersen, H. U., Christensen, J. O., Kielgast, U. L., Nørgaard, K., Pedersen-Bjergaard, U., Willaing, I., Joensen, L. E., Lindgreen, P., Olesen, K., Nygaard, M., Hessler, D., Andersen, H. U., Christensen, J. O., Kielgast, U. L., Nørgaard, K., Pedersen-Bjergaard, U., and Willaing, I.

Abstract

Aim To validate the Type 1 Diabetes Distress Scale (T1-DDS) in a large sample of adults with Type 1 diabetes (T1D) from diabetes clinics in Denmark. Methods Altogether 40 adults with T1D were interviewed to explore the content of T1-DDS in a Danish setting and to validate the translation of the T1-DDS into Danish. Subsequently, a survey including T1-DDS, the Problem Areas In Diabetes scale (PAID-20), fear of hypoglycemia, social support, and diabetes duration was answered by 2201 people with T1D. Other person characteristics were collected from the National Patient Register. HbA1c was obtained from the Clinical Laboratory Information System. Data distribution, internal consistency, convergent and construct validity, factor structure, three weeks retest, and cut-points were explored. Results Interview data supported the relevance of all T1-DDS items for the assessment of diabetes distress among adults with T1D. The T1-DDS showed good content and acceptable construct validity, and the ability to detect high diabetes distress levels. A high correlation between T1-DDS and PAID-20 (rho = 0.91) was found. The retest scores showed a good reliability (all rho ≥0.68) with the highest variability in the Friends/Family Distress and Physician Distress subscales and the lowest variability in the Powerlessness and Eating Distress subscales of the T1-DDS. Qualitative findings pointed out relevant concerns of people with T1D, which were not included in the T1-DDS. Conclusion The study supports the use of the Danish T1-DDS, but also highlights that existing diabetes distress questionnaires including T1-DDS do not cover all potential diabetes stressors and worries., AIM: To validate the Type 1 Diabetes Distress Scale (T1-DDS) in a large sample of adults with Type 1 diabetes (T1D) from diabetes clinics in Denmark.METHODS: Altogether 40 adults with T1D were interviewed to explore the content of T1-DDS in a Danish setting and to validate the translation of the T1-DDS into Danish. Subsequently, a survey including T1-DDS, the Problem Areas In Diabetes scale (PAID-20), fear of hypoglycemia, social support, and diabetes duration was answered by 2201 people with T1D. Other person characteristics were collected from the National Patient Register. HbA1c was obtained from the Clinical Laboratory Information System. Data distribution, internal consistency, convergent and construct validity, factor structure, three weeks retest, and cut-points were explored.RESULTS: Interview data supported the relevance of all T1-DDS items for the assessment of diabetes distress among adults with T1D. The T1-DDS showed good content and acceptable construct validity, and the ability to detect high diabetes distress levels. A high correlation between T1-DDS and PAID-20 (rho = 0.91) was found. The retest scores showed a good reliability (all rho ≥0.68) with the highest variability in the Friends/Family Distress and Physician Distress subscales and the lowest variability in the Powerlessness and Eating Distress subscales of the T1-DDS. Qualitative findings pointed out relevant concerns of people with T1D, which were not included in the T1-DDS.CONCLUSION: The study supports the use of the Danish T1-DDS, but also highlights that existing diabetes distress questionnaires including T1-DDS do not cover all potential diabetes stressors and worries.

Published
2023

11. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects

Author

Howe, LJ, Nivard, MG, Morris, TT, Hansen, AF, Rasheed, H, Cho, Y, Chittoor, G, Ahlskog, R, Lind, PA, Palviainen, T, van der Zee, MD, Cheesman, R, Mangino, M, Wang, Y, Li, S, Klaric, L, Ratliff, SM, Bielak, LF, Nygaard, M, Giannelis, A, Willoughby, EA, Reynolds, CA, Balbona, JV, Andreassen, OA, Ask, H, Baras, A, Bauer, CR, Boomsma, DI, Campbell, A, Campbell, H, Chen, Z, Christofidou, P, Corfield, E, Dahm, CC, Dokuru, DR, Evans, LM, de Geus, EJC, Giddaluru, S, Gordon, SD, Harden, KP, Hill, WD, Hughes, A, Kerr, SM, Kim, Y, Kweon, H, Latvala, A, Lawlor, DA, Li, L, Lin, K, Magnus, P, Magnusson, PKE, Mallard, TT, Martikainen, P, Mills, MC, Njolstad, PR, Overton, JD, Pedersen, NL, Porteous, DJ, Reid, J, Silventoinen, K, Southey, MC, Stoltenberg, C, Tucker-Drob, EM, Wright, MJ, Hewitt, JK, Keller, MC, Stallings, MC, Lee, JJ, Christensen, K, Kardia, SLR, Peyser, PA, Smith, JA, Wilson, JF, Hopper, JL, Hagg, S, Spector, TD, Pingault, J-B, Plomin, R, Havdahl, A, Bartels, M, Martin, NG, Oskarsson, S, Justice, AE, Millwood, IY, Hveem, K, Naess, O, Willer, CJ, Asvold, BO, Koellinger, PD, Kaprio, J, Medland, SE, Walters, RG, Benjamin, DJ, Turley, P, Evans, DM, Smith, GD, Hayward, C, Brumpton, B, Hemani, G, Davies, NM, Howe, LJ, Nivard, MG, Morris, TT, Hansen, AF, Rasheed, H, Cho, Y, Chittoor, G, Ahlskog, R, Lind, PA, Palviainen, T, van der Zee, MD, Cheesman, R, Mangino, M, Wang, Y, Li, S, Klaric, L, Ratliff, SM, Bielak, LF, Nygaard, M, Giannelis, A, Willoughby, EA, Reynolds, CA, Balbona, JV, Andreassen, OA, Ask, H, Baras, A, Bauer, CR, Boomsma, DI, Campbell, A, Campbell, H, Chen, Z, Christofidou, P, Corfield, E, Dahm, CC, Dokuru, DR, Evans, LM, de Geus, EJC, Giddaluru, S, Gordon, SD, Harden, KP, Hill, WD, Hughes, A, Kerr, SM, Kim, Y, Kweon, H, Latvala, A, Lawlor, DA, Li, L, Lin, K, Magnus, P, Magnusson, PKE, Mallard, TT, Martikainen, P, Mills, MC, Njolstad, PR, Overton, JD, Pedersen, NL, Porteous, DJ, Reid, J, Silventoinen, K, Southey, MC, Stoltenberg, C, Tucker-Drob, EM, Wright, MJ, Hewitt, JK, Keller, MC, Stallings, MC, Lee, JJ, Christensen, K, Kardia, SLR, Peyser, PA, Smith, JA, Wilson, JF, Hopper, JL, Hagg, S, Spector, TD, Pingault, J-B, Plomin, R, Havdahl, A, Bartels, M, Martin, NG, Oskarsson, S, Justice, AE, Millwood, IY, Hveem, K, Naess, O, Willer, CJ, Asvold, BO, Koellinger, PD, Kaprio, J, Medland, SE, Walters, RG, Benjamin, DJ, Turley, P, Evans, DM, Smith, GD, Hayward, C, Brumpton, B, Hemani, G, and Davies, NM

Abstract

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects.

Published
2022

12. Stroke genetics informs drug discovery and risk prediction across ancestries

Author

Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., Debette, S., Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., and Debette, S.

Abstract

Item does not contain fulltext, Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

Published
2022

13. Stroke genetics informs drug discovery and risk prediction across ancestries (vol 611, pg 115, 2022)

Author

Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Borte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, IH, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, K-J, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O'Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Rosand, J, Sabatine, MS, Sacco, RL, Saleheen, D, Sandset, EC, Salomaa, V, Sargurupremraj, M, Sasaki, M, Satizabal, CL, Schmidt, CO, Shimizu, A, Smith, NL, Sloane, KL, Sutoh, Y, Sun, YV, Tanno, K, Tiedt, S, Tatlisumak, T, Torres-Aguila, NP, Tiwari, HK, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-Hansen, A, van Vugt, M, Vibo, R, Verma, SS, Wiggins, KL, Wennberg, P, Woo, D, Wilson, PWF, Xu, H, Yang, Q, Yoon, K, Millwood, IY, Gieger, C, Ninomiya, T, Grabe, HJ, Jukema, JW, Rissanen, IL, Strbian, D, Kim, YJ, Chen, P-H, Mayerhofer, E, Howson, JMM, Irvin, MR, Adams, H, Wassertheil-Smoller, S, Christensen, K, Ikram, MA, Rundek, T, Worrall, BB, Lathrop, GM, Riaz, M, Simonsick, EM, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, Debette, S, Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Borte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, IH, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, K-J, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O'Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Rosand, J, Sabatine, MS, Sacco, RL, Saleheen, D, Sandset, EC, Salomaa, V, Sargurupremraj, M, Sasaki, M, Satizabal, CL, Schmidt, CO, Shimizu, A, Smith, NL, Sloane, KL, Sutoh, Y, Sun, YV, Tanno, K, Tiedt, S, Tatlisumak, T, Torres-Aguila, NP, Tiwari, HK, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-Hansen, A, van Vugt, M, Vibo, R, Verma, SS, Wiggins, KL, Wennberg, P, Woo, D, Wilson, PWF, Xu, H, Yang, Q, Yoon, K, Millwood, IY, Gieger, C, Ninomiya, T, Grabe, HJ, Jukema, JW, Rissanen, IL, Strbian, D, Kim, YJ, Chen, P-H, Mayerhofer, E, Howson, JMM, Irvin, MR, Adams, H, Wassertheil-Smoller, S, Christensen, K, Ikram, MA, Rundek, T, Worrall, BB, Lathrop, GM, Riaz, M, Simonsick, EM, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, and Debette, S

Published
2022

14. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries (Nature, (2022), 611, 7934, (115-123), 10.1038/s41586-022-05165-3)

Author

Mishra, A, Malik, R, Hachiya, T, Jürgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, YC, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, HJ, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Cárcel-Márquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Børte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, YL, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, KJ, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O’Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Mishra, A, Malik, R, Hachiya, T, Jürgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, YC, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, HJ, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Cárcel-Márquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Børte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, YL, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, KJ, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O’Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, and Rich, SS

Abstract

In the version of this article initially published, the name of the PRECISE4Q Consortium was misspelled as “PRECISEQ” and has now been amended in the HTML and PDF versions of the article. Further, data in the first column of Supplementary Table 55 were mistakenly shifted and have been corrected in the file accompanying the HTML version of the article.

Published
2022

18. Early periprosthetic femoral bone remodelling using different bearing material combinations in total hip arthroplasties: a prospective randomised study

Author

Nygaard M., Zerahn B., Bruce C., Søballe K., and Borgwardt A.

Subjects
Diseases of the musculoskeletal system, RC925-935, Orthopedic surgery, RD701-811
Abstract

The present study was performed to test the hypothesis that different bearing materials have an impact on femoral bone remodelling within the first year after a total hip arthroplasty. A total of 225 patients with osteoarthrosis of the hip or avascular necrosis of the femoral head were included in this randomised prospective study. All patients had an identical hybrid total hip arthroplasty (cemented BiMetric stem and cementless RingLoc acetabular cup) except for the bearing materials: polyethylene-on-zirconia (n = 78), CoCr-on-CoCr (n = 71), or alumina-on-alumina (n = 76). Bone mineral density (BMD) was measured with Dual-energy X-ray absorptiometry (DEXA) in seven Gruen zones adjacent to the femoral implant. The DEXA scan was performed within one week after surgery and was repeated one year postoperatively. There was no significant difference in periprosthetic BMD change between the three groups. After twelve months the relative BMD decrease was highest in the proximal part of the femur, - 6.2% in the greater trochanter region and - 12.7% in the lesser trochanter region. In the distal zones the relative BMD decrease was -5.3, -4.2, -2.1, -2.3, and -5.6%, respectively. The use of different bearing materials had no significant impact on femoral bone remodelling adjacent to the cemented hip stem within one year after surgery.

Published
2004

19. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.

Author

McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., Marioni R.E., McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., and Marioni R.E.

Abstract

Background: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Result(s): Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. Conclusion(s): This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.Copyright © 2021, The Author(s).

Published
2021

20. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, DL, Min, JL, Richmond, RC, Lu, AT, Sobczyk, MK, Davies, G, Broer, L, Guo, X, Jeong, A, Jung, J, Kasela, S, Katrinli, S, Kuo, P-L, Matias-Garcia, PR, Mishra, PP, Nygaard, M, Palviainen, T, Patki, A, Raffield, LM, Ratliff, SM, Richardson, TG, Robinson, O, Soerensen, M, Sun, D, Tsai, P-C, van der Zee, MD, Walker, RM, Wang, X, Wang, Y, Xia, R, Xu, Z, Yao, J, Zhao, W, Correa, A, Boerwinkle, E, Dugue, P-A, Durda, P, Elliott, HR, Gieger, C, de Geus, EJC, Harris, SE, Hemani, G, Imboden, M, Kahonen, M, Kardia, SLR, Kresovich, JK, Li, S, Lunetta, KL, Mangino, M, Mason, D, McIntosh, AM, Mengel-From, J, Moore, AZ, Murabito, JM, Ollikainen, M, Pankow, JS, Pedersen, NL, Peters, A, Polidoro, S, Porteous, DJ, Raitakari, O, Rich, SS, Sandler, DP, Sillanpaa, E, Smith, AK, Southey, MC, Strauch, K, Tiwari, H, Tanaka, T, Tillin, T, Uitterlinden, AG, van den Berg, DJ, van Dongen, J, Wilson, JG, Wright, J, Yet, I, Arnett, D, Bandinelli, S, Bell, JT, Binder, AM, Boomsma, DI, Chen, W, Christensen, K, Conneely, KN, Elliott, P, Ferrucci, L, Fornage, M, Hagg, S, Hayward, C, Irvin, M, Kaprio, J, Lawlor, DA, Lehtimaki, T, Lohoff, FW, Milani, L, Milne, RL, Probst-Hensch, N, Reiner, AP, Ritz, B, Rotter, JI, Smith, JA, Taylor, JA, van Meurs, JBJ, Vineis, P, Waldenberger, M, Deary, IJ, Relton, CL, Horvath, S, Marioni, RE, McCartney, DL, Min, JL, Richmond, RC, Lu, AT, Sobczyk, MK, Davies, G, Broer, L, Guo, X, Jeong, A, Jung, J, Kasela, S, Katrinli, S, Kuo, P-L, Matias-Garcia, PR, Mishra, PP, Nygaard, M, Palviainen, T, Patki, A, Raffield, LM, Ratliff, SM, Richardson, TG, Robinson, O, Soerensen, M, Sun, D, Tsai, P-C, van der Zee, MD, Walker, RM, Wang, X, Wang, Y, Xia, R, Xu, Z, Yao, J, Zhao, W, Correa, A, Boerwinkle, E, Dugue, P-A, Durda, P, Elliott, HR, Gieger, C, de Geus, EJC, Harris, SE, Hemani, G, Imboden, M, Kahonen, M, Kardia, SLR, Kresovich, JK, Li, S, Lunetta, KL, Mangino, M, Mason, D, McIntosh, AM, Mengel-From, J, Moore, AZ, Murabito, JM, Ollikainen, M, Pankow, JS, Pedersen, NL, Peters, A, Polidoro, S, Porteous, DJ, Raitakari, O, Rich, SS, Sandler, DP, Sillanpaa, E, Smith, AK, Southey, MC, Strauch, K, Tiwari, H, Tanaka, T, Tillin, T, Uitterlinden, AG, van den Berg, DJ, van Dongen, J, Wilson, JG, Wright, J, Yet, I, Arnett, D, Bandinelli, S, Bell, JT, Binder, AM, Boomsma, DI, Chen, W, Christensen, K, Conneely, KN, Elliott, P, Ferrucci, L, Fornage, M, Hagg, S, Hayward, C, Irvin, M, Kaprio, J, Lawlor, DA, Lehtimaki, T, Lohoff, FW, Milani, L, Milne, RL, Probst-Hensch, N, Reiner, AP, Ritz, B, Rotter, JI, Smith, JA, Taylor, JA, van Meurs, JBJ, Vineis, P, Waldenberger, M, Deary, IJ, Relton, CL, Horvath, S, and Marioni, RE

Abstract

BACKGROUND: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. RESULTS: Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. CONCLUSION: This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.

Published
2021

21. COVID-19 infection in adult patients with hematological malignancies: a European Hematology Association Survey (EPICOVIDEHA)

Author

Pagano, L., Salmanton-Garcia, J., Marchesi, F., Busca, A., Corradini, P., Hoenigl, M., Klimko, N., Koehler, P., Pagliuca, A., Passamonti, F., Verga, L., Visek, B., Ilhan, O., Nadali, G., Weinbergerova, B., Cordoba-Mascunano, R., Marchetti, M., Collins, G. P., Farina, F., Cattaneo, C., Cabirta, A., Gomes-Silva, M., Itri, F., van Doesum, J., Ledoux, M. -P., Cernan, M., Jaksic, O., Duarte, R. F., Magliano, G., Omrani, A. S., Fracchiolla, N. S., Kulasekararaj, A., Valkovic, T., Poulsen, C. B., Machado, M., Glenthoj, A., Stoma, I., Racil, Z., Piukovics, K., Navratil, M., Emarah, Z., Sili, U., Maertens, J., Blennow, O., Bergantim, R., Garcia-Vidal, C., Prezioso, L., Guidetti, A., del Principe, M. I., Popova, M., de Jonge, N., Ormazabal-Velez, I., Fernandez, N., Falces-Romero, I., Cuccaro, A., Meers, S., Buquicchio, C., Antic, D., Al-Khabori, M., Garcia-Sanz, R., Biernat, M. M., Tisi, M. C., Sal, E., Rahimli, L., Colovic, N., Schonlein, M., Calbacho, M., Tascini, C., Miranda-Castillo, C., Khanna, N., Mendez, G. -A., Petzer, V., Novak, J., Besson, C., Dulery, R., Lamure, S., Nucci, M., Zambrotta, G., Zak, P., Seval, G. C., Bonuomo, V., Mayer, J., Lopez-Garcia, A., Sacchi, M. V., Booth, S., Ciceri, F., Oberti, M., Salvini, M., Izuzquiza, M., Nunes-Rodrigues, R., Ammatuna, E., Obr, A., Herbrecht, R., Nunez-Martin-Buitrago, L., Mancini, V., Shwaylia, H., Sciume, M., Essame, J., Nygaard, M., Batinic, J., Gonzaga, Y., Regalado-Artamendi, I., Karlsson, L. K., Shapetska, M., Hanakova, M., El-Ashwah, S., Borbenyi, Z., Colak, G. M., Nordlander, A., Dragonetti, G., Maraglino, A. M. E., Rinaldi, A., De Ramon-Sanchez, C., Cornely, O. A., Finizio, O., Fazzi, R., Sapienza, G., Chauchet, A., Van Praet, J., Prattes, J., Dargenio, M., Rossi, C., Shirinova, A., Malak, S., Tafuri, A., Ommen, H. -B., Bologna, S., Khedr, R. A., Choquet, S., Joly, B., Ceesay, M. M., Philippe, L., Kho, C. S., Desole, M., Tsirigotis, P., Otasevic, V., Borducchi, D. M. M., Antoniadou, A., Gaziev, J., Almaslamani, M. A., Garcia-Pouton, N., Paterno, G., Torres-Lopez, A., Tarantini, G., Mellinghoff, S., Grafe, S., Borschel, N., Passweg, J., Merelli, M., Barac, A., Wolf, D., Shaikh, M. U., Thieblemont, C., Bernard, S., Funke, V. A. M., Daguindau, E., Khostelidi, S., Nucci, F. M., Martin-Gonzalez, J. -A., Landau, M., Soussain, C., Laureana, C., Lacombe, K., Kohn, M., Aliyeva, G., Piedimonte, M., Fouquet, G., Rego, M., Hoell-Neugebauer, B., Cartron, G., Pinto, F., Alburquerque, A. M., Passos, J., Yilmaz, A. F., Redondo-Izal, A. -M., Altuntas, F., Heath, C., Kolditz, M., Schalk, E., Guolo, F., Karthaus, M., Della Pepa, R., Vinh, D., Noel, N., Deau Fischer, B., Drenou, B., Mitra, M. E., Meletiadis, J., Bilgin, Y. M., Jindra, P., Espigado, I., Drgona, L., Serris, A., Di Blasi, R., Ali, N., Pagano L. (ORCID:0000-0001-8287-928X), Dragonetti G., Pagano, L., Salmanton-Garcia, J., Marchesi, F., Busca, A., Corradini, P., Hoenigl, M., Klimko, N., Koehler, P., Pagliuca, A., Passamonti, F., Verga, L., Visek, B., Ilhan, O., Nadali, G., Weinbergerova, B., Cordoba-Mascunano, R., Marchetti, M., Collins, G. P., Farina, F., Cattaneo, C., Cabirta, A., Gomes-Silva, M., Itri, F., van Doesum, J., Ledoux, M. -P., Cernan, M., Jaksic, O., Duarte, R. F., Magliano, G., Omrani, A. S., Fracchiolla, N. S., Kulasekararaj, A., Valkovic, T., Poulsen, C. B., Machado, M., Glenthoj, A., Stoma, I., Racil, Z., Piukovics, K., Navratil, M., Emarah, Z., Sili, U., Maertens, J., Blennow, O., Bergantim, R., Garcia-Vidal, C., Prezioso, L., Guidetti, A., del Principe, M. I., Popova, M., de Jonge, N., Ormazabal-Velez, I., Fernandez, N., Falces-Romero, I., Cuccaro, A., Meers, S., Buquicchio, C., Antic, D., Al-Khabori, M., Garcia-Sanz, R., Biernat, M. M., Tisi, M. C., Sal, E., Rahimli, L., Colovic, N., Schonlein, M., Calbacho, M., Tascini, C., Miranda-Castillo, C., Khanna, N., Mendez, G. -A., Petzer, V., Novak, J., Besson, C., Dulery, R., Lamure, S., Nucci, M., Zambrotta, G., Zak, P., Seval, G. C., Bonuomo, V., Mayer, J., Lopez-Garcia, A., Sacchi, M. V., Booth, S., Ciceri, F., Oberti, M., Salvini, M., Izuzquiza, M., Nunes-Rodrigues, R., Ammatuna, E., Obr, A., Herbrecht, R., Nunez-Martin-Buitrago, L., Mancini, V., Shwaylia, H., Sciume, M., Essame, J., Nygaard, M., Batinic, J., Gonzaga, Y., Regalado-Artamendi, I., Karlsson, L. K., Shapetska, M., Hanakova, M., El-Ashwah, S., Borbenyi, Z., Colak, G. M., Nordlander, A., Dragonetti, G., Maraglino, A. M. E., Rinaldi, A., De Ramon-Sanchez, C., Cornely, O. A., Finizio, O., Fazzi, R., Sapienza, G., Chauchet, A., Van Praet, J., Prattes, J., Dargenio, M., Rossi, C., Shirinova, A., Malak, S., Tafuri, A., Ommen, H. -B., Bologna, S., Khedr, R. A., Choquet, S., Joly, B., Ceesay, M. M., Philippe, L., Kho, C. S., Desole, M., Tsirigotis, P., Otasevic, V., Borducchi, D. M. M., Antoniadou, A., Gaziev, J., Almaslamani, M. A., Garcia-Pouton, N., Paterno, G., Torres-Lopez, A., Tarantini, G., Mellinghoff, S., Grafe, S., Borschel, N., Passweg, J., Merelli, M., Barac, A., Wolf, D., Shaikh, M. U., Thieblemont, C., Bernard, S., Funke, V. A. M., Daguindau, E., Khostelidi, S., Nucci, F. M., Martin-Gonzalez, J. -A., Landau, M., Soussain, C., Laureana, C., Lacombe, K., Kohn, M., Aliyeva, G., Piedimonte, M., Fouquet, G., Rego, M., Hoell-Neugebauer, B., Cartron, G., Pinto, F., Alburquerque, A. M., Passos, J., Yilmaz, A. F., Redondo-Izal, A. -M., Altuntas, F., Heath, C., Kolditz, M., Schalk, E., Guolo, F., Karthaus, M., Della Pepa, R., Vinh, D., Noel, N., Deau Fischer, B., Drenou, B., Mitra, M. E., Meletiadis, J., Bilgin, Y. M., Jindra, P., Espigado, I., Drgona, L., Serris, A., Di Blasi, R., Ali, N., Pagano L. (ORCID:0000-0001-8287-928X), and Dragonetti G.

Abstract

Background: Patients with hematological malignancies (HM) are at high risk of mortality from SARS-CoV-2 disease 2019 (COVID-19). A better understanding of risk factors for adverse outcomes may improve clinical management in these patients. We therefore studied baseline characteristics of HM patients developing COVID-19 and analyzed predictors of mortality. Methods: The survey was supported by the Scientific Working Group Infection in Hematology of the European Hematology Association (EHA). Eligible for the analysis were adult patients with HM and laboratory-confirmed COVID-19 observed between March and December 2020. Results: The study sample includes 3801 cases, represented by lymphoproliferative (mainly non-Hodgkin lymphoma n = 1084, myeloma n = 684 and chronic lymphoid leukemia n = 474) and myeloproliferative malignancies (mainly acute myeloid leukemia n = 497 and myelodysplastic syndromes n = 279). Severe/critical COVID-19 was observed in 63.8% of patients (n = 2425). Overall, 2778 (73.1%) of the patients were hospitalized, 689 (18.1%) of whom were admitted to intensive care units (ICUs). Overall, 1185 patients (31.2%) died. The primary cause of death was COVID-19 in 688 patients (58.1%), HM in 173 patients (14.6%), and a combination of both COVID-19 and progressing HM in 155 patients (13.1%). Highest mortality was observed in acute myeloid leukemia (199/497, 40%) and myelodysplastic syndromes (118/279, 42.3%). The mortality rate significantly decreased between the first COVID-19 wave (March–May 2020) and the second wave (October–December 2020) (581/1427, 40.7% vs. 439/1773, 24.8%, p value < 0.0001). In the multivariable analysis, age, active malignancy, chronic cardiac disease, liver disease, renal impairment, smoking history, and ICU stay correlated with mortality. Acute myeloid leukemia was a higher mortality risk than lymphoproliferative diseases. Conclusions: This survey confirms that COVID-19 patients with HM are at high risk of lethal complications. Ho

Published
2021

22. Correction to: A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer’s disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity (Acta Neuropathologica, (2019), 138, 2, (237-250), 10.1007/s00401-019-02026-8)

Author

van der Lee, S. J., Conway, O. J., Jansen, I., Carrasquillo, M. M., Kleineidam, L., van den Akker, E., Hernandez, I., van Eijk, K. R., Stringa, N., Chen, J. A., Zettergren, A., Andlauer, T. F. M., Diez-Fairen, M., Simon-Sanchez, J., Lleo, A., Zetterberg, H., Nygaard, M., Blauwendraat, C., Savage, J. E., Mengel-From, J., Moreno-Grau, S., Wagner, M., Fortea, J., Keogh, M. J., Blennow, K., Skoog, I., Friese, M. A., Pletnikova, O., Zulaica, M., Lage, C., de Rojas, I., Riedel-Heller, S., Illan-Gala, I., Wei, W., Jeune, B., Orellana, A., Then Bergh, F., Wang, X., Hulsman, M., Beker, N., Tesi, N., Morris, C. M., Indakoetxea, B., Collij, L. E., Scherer, M., Morenas-Rodriguez, E., Ironside, J. W., van Berckel, B. N. M., Alcolea, D., Wiendl, H., Strickland, S. L., Pastor, P., Rodriguez Rodriguez, E., Mead, S., Synofzik, M., van Swieten, J. C., Leber, I., Ferrari, R., Hernandez, D. G., Nalls, M. A., Rohrer, J. D., Ramasamy, A., Kwok, J. B. J., Dobson-Stone, C., Schofield, P. R., Halliday, G. M., Hodges, J. R., Piguet, O., Bartley, L., Thompson, E., Borroni, B., Padovani, A., Cruchaga, C., Cairns, N. J., Benussi, L., Binetti, G., Ghidoni, R., Forloni, G., Albani, D., Galimberti, D., Fenoglio, C., Serpente, M., Scarpini, E., Blesa, R., Landqvist Waldo, M., Nilsson, K., Nilsson, C., Mackenzie, I. R. A., Hsiung, G. -Y. R., Mann, D. M. A., Grafman, J., Attems, J., Griffiths, T. D., Mckeith, I. G., Thomas, A. J., Pietrini, P., Huey, E. D., Wassermann, E. M., Baborie, A., Jaros, E., Tierney, M. C., Razquin, C., Ortega-Cubero, S., Alonso, E., Perneczky, R., Diehl-Schmid, J., Alexopoulos, P., Kurz, A., Rainero, I., Rubino, E., Pinessi, L., Rogaeva, E., St George-Hyslop, P., Rossi, G., Tagliavini, F., Giaccone, G., Rowe, J. B., Schlachetzki, J. C. M., Uphill, J., Collinge, J., Danek, A., Van Deerlin, V. M., Grossman, M., Trojanowski, J. Q., van der Zee, J., Van Broeckhoven, C., Cappa, S. F., Hannequin, D., Golfier, V., Vercelletto, M., Brice, A., Nacmias, B., Sorbi, S., Bagnoli, S., Piaceri, I., Nielsen, J. E., Hjermind, L. E., Riemenschneider, M., Mayhaus, M., Ibach, B., Gasparoni, G., Pichler, S., Gu, W., Rossor, M. N., Fox, N. C., Warren, J. D., Spillantini, M. G., Morris, H. R., Rizzu, P., Snowden, J. S., Rollinson, S., Richardson, A., Gerhard, A., Bruni, A. C., Maletta, R., Frangipane, F., Cupidi, C., Bernardi, L., Anfossi, M., Gallo, M., Conidi, M. E., Smirne, N., Baker, M., Josephs, K. A., Parisi, J. E., Seeley, W. W., Miller, B. L., Karydas, A. M., Rosen, H., Dopper, E. G. P., Seelaar, H., Logroscino, G., Capozzo, R., Novelli, V., Puca, A. A., Franceschi, M., Postiglione, A., Milan, G., Sorrentino, P., Kristiansen, M., Chiang, H. -H., Graff, C., Pasquier, F., Rollin, A., Deramecourt, V., Lebouvier, T., Kapogiannis, D., Ferrucci, L., Pickering-Brown, S., Singleton, A. B., Hardy, J., Momeni, P., Boeve, B. F., Petersen, R. C., Ferman, T. J., van Gerpen, J. A., Reinders, M. J. T., Uitti, R. J., Tarraga, L., Maier, W., Dols-Icardo, O., Kawalia, A., Dalmasso, M. C., Boada, M., Zettl, U. K., van Schoor, N. M., Beekman, M., Allen, M., Masliah, E., de Munain, A. L., Pantelyat, A., Wszolek, Z. K., Ross, O. A., Dickson, D. W., Graff-Radford, N. R., Knopman, D., Rademakers, R., Lemstra, A. W., Pijnenburg, Y. A. L., Scheltens, P., Gasser, T., Chinnery, P. F., Hemmer, B., Huisman, M. A., Troncoso, J., Moreno, F., Nohr, E. A., Sorensen, T. I. A., Heutink, P., Sanchez-Juan, P., Posthuma, D., Coppola, G., Varpetian, A., Foroud, T. M., Levey, A. I., Kukull, W. A., Mendez, M. F., Ringman, J., Chui, H., Cotman, C., Decarli, C., Geschwind, D. H., Clarimon, J., Christensen, K., Ertekin-Taner, N., Scholz, S. W., Ramirez, A., Ruiz, A., Slagboom, E., van der Flier, W. M., Holstege, H., Neurology, Epidemiology and Data Science, Human genetics, APH - Societal Participation & Health, APH - Aging & Later Life, Amsterdam Neuroscience - Complex Trait Genetics, APH - Personalized Medicine, and APH - Methodology

Subjects
education
Abstract

The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.

Published
2020

23. A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity (vol 138, pg 237, 2019)

Author

van der Lee, SJ, Conway, OJ, Jansen, I, Carrasquillo, MM, Kleineidam, L, van den Akker, E, Hernandez, I, van Eijk, KR, Stringa, N, Chen, JSA, Zettergren, A, Andlauer, TFM, Diez-Fairen, M, Simon-Sanchez, J, Lleo, A, Zetterberg, H, Nygaard, M, Blauwendraat, C, Savage, JE, Mengel-From, J, Moreno-Grau, S, Wagner, M, Fortea, J, Keogh, MJ, Blennow, K, Skoog, I, Friese, MA, Pletnikova, O, Zulaica, M, Lage, C, de Rojas, I, Riedel-Heller, S, Illan-Gala, I, Wei, W, Jeune, B, Orellana, A, Bergh, FT, Wang, X, Hulsman, M, Beker, N, Tesi, N, Morris, CM, Indakoetxea, B, Collij, LE, Scherer, M, Morenas-Rodriguez, E, Ironside, JW, van Berckel, BNM, Alcolea, D, Wiendl, H, Strickland, SL, Pastor, P, Rodriguez, ER, Boeve, BF, Petersen, RC, Ferman, TJ, van Gerpen, JA, Reinders, MJT, Uitti, RJ, Tarraga, L, Maier, W, Dols-Icardo, O, Kawalia, A, Dalmasso, MC, Boada, M, Zettl, UK, van Schoor, NM, Beekman, M, Allen, M, Masliah, E, de Munain, AL, Pantelyat, A, Wszolek, ZK, Ross, OA, Dickson, DW, Graff-Radford, NR, Knopman, D, Rademakers, R, Lemstra, AW, Pijnenburg, YAL, Scheltens, P, Gasser, T, Chinnery, PF, Hemmer, B, Huisman, MA, Troncoso, J, Moreno, F, Nohr, EA, Sorensen, TIA, Heutink, P, Sanchez-Juan, P, Posthuma, D, Clarim?on, J, Christensen, K, Ertekin-Taner, N, Scholz, SW, Ramirez, A, Ruiz, A, Slagboom, E, van der Flier, WM, and Holstege, H

Subjects
education
Abstract

The IPDGC (The International Parkinson Disease Genomics Consortium) and EADB (Alzheimer Disease European DNA biobank) are listed correctly as an author to the article, however, they were incorrectly listed more than once.

Published
2020

27. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Savage, J.E. Jansen, P.R. Stringer, S. Watanabe, K. Bryois, J. De Leeuw, C.A. Nagel, M. Awasthi, S. Barr, P.B. Coleman, J.R.I. Grasby, K.L. Hammerschlag, A.R. Kaminski, J.A. Karlsson, R. Krapohl, E. Lam, M. Nygaard, M. Reynolds, C.A. Trampush, J.W. Young, H. Zabaneh, D. Hägg, S. Hansell, N.K. Karlsson, I.K. Linnarsson, S. Montgomery, G.W. Muñoz-Manchado, A.B. Quinlan, E.B. Schumann, G. Skene, N.G. Webb, B.T. White, T. Arking, D.E. Avramopoulos, D. Bilder, R.M. Bitsios, P. Burdick, K.E. Cannon, T.D. Chiba-Falek, O. Christoforou, A. Cirulli, E.T. Congdon, E. Corvin, A. Davies, G. Deary, I.J. Derosse, P. Dickinson, D. Djurovic, S. Donohoe, G. Conley, E.D. Eriksson, J.G. Espeseth, T. Freimer, N.A. Giakoumaki, S. Giegling, I. Gill, M. Glahn, D.C. Hariri, A.R. Hatzimanolis, A. Keller, M.C. Knowles, E. Koltai, D. Konte, B. Lahti, J. Le Hellard, S. Lencz, T. Liewald, D.C. London, E. Lundervold, A.J. Malhotra, A.K. Melle, I. Morris, D. Need, A.C. Ollier, W. Palotie, A. Payton, A. Pendleton, N. Poldrack, R.A. Räikkönen, K. Reinvang, I. Roussos, P. Rujescu, D. Sabb, F.W. Scult, M.A. Smeland, O.B. Smyrnis, N. Starr, J.M. Steen, V.M. Stefanis, N.C. Straub, R.E. Sundet, K. Tiemeier, H. Voineskos, A.N. Weinberger, D.R. Widen, E. Yu, J. Abecasis, G. Andreassen, O.A. Breen, G. Christiansen, L. Debrabant, B. Dick, D.M. Heinz, A. Hjerling-Leffler, J. Ikram, M.A. Kendler, K.S. Martin, N.G. Medland, S.E. Pedersen, N.L. Plomin, R. Polderman, T.J.C. Ripke, S. Van Der Sluis, S. Sullivan, P.F. Vrieze, S.I. Wright, M.J. Posthuma, D.

Abstract

Intelligence is highly heritable 1 and a major determinant of human health and well-being 2 . Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence 3-7 , but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders. © 2018 The Author(s).

Published
2018

28. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., De Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., Grasby, K. L., Hammerschlag, A. R., Kaminski, J. A., Karlsson, R., Krapohl, E., Lam, M., Nygaard, M., Reynolds, C. A., Trampush, J. W., Young, H., Zabaneh, D., Hägg, S., Hansell, N. K., Karlsson, Ida K., Linnarsson, S., Montgomery, G. W., Muñoz-Manchado, A. B., Quinlan, E. B., Schumann, G., Skene, N. G., Webb, B. T., White, T., Arking, D. E., Avramopoulos, D., Bilder, R. M., Bitsios, P., Burdick, K. E., Cannon, T. D., Chiba-Falek, O., Christoforou, A., Cirulli, E. T., Congdon, E., Corvin, A., Davies, G., Deary, I. J., Derosse, P., Dickinson, D., Djurovic, S., Donohoe, G., Conley, E. D., Eriksson, J. G., Espeseth, T., Freimer, N. A., Giakoumaki, S., Giegling, I., Gill, M., Glahn, D. C., Hariri, A. R., Hatzimanolis, A., Keller, M. C., Knowles, E., Koltai, D., Konte, B., Lahti, J., Le Hellard, S., Lencz, T., Liewald, D. C., London, E., Lundervold, A. J., Malhotra, A. K., Melle, I., Morris, D., Need, A. C., Ollier, W., Palotie, A., Payton, A., Pendleton, N., Poldrack, R. A., Räikkönen, K., Reinvang, I., Roussos, P., Rujescu, D., Sabb, F. W., Scult, M. A., Smeland, O. B., Smyrnis, N., Starr, J. M., Steen, V. M., Stefanis, N. C., Straub, R. E., Sundet, K., Tiemeier, H., Voineskos, A. N., Weinberger, D. R., Widen, E., Yu, J., Abecasis, G., Andreassen, O. A., Breen, G., Christiansen, L., Debrabant, B., Dick, D. M., Heinz, A., Hjerling-Leffler, J., Ikram, M. A., Kendler, K. S., Martin, N. G., Medland, S. E., Pedersen, N. L., Plomin, R., Polderman, T. J. C., Ripke, S., Van Der Sluis, S., Sullivan, P. F., Vrieze, S. I., Wright, M. J., Posthuma, D., Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., De Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., Grasby, K. L., Hammerschlag, A. R., Kaminski, J. A., Karlsson, R., Krapohl, E., Lam, M., Nygaard, M., Reynolds, C. A., Trampush, J. W., Young, H., Zabaneh, D., Hägg, S., Hansell, N. K., Karlsson, Ida K., Linnarsson, S., Montgomery, G. W., Muñoz-Manchado, A. B., Quinlan, E. B., Schumann, G., Skene, N. G., Webb, B. T., White, T., Arking, D. E., Avramopoulos, D., Bilder, R. M., Bitsios, P., Burdick, K. E., Cannon, T. D., Chiba-Falek, O., Christoforou, A., Cirulli, E. T., Congdon, E., Corvin, A., Davies, G., Deary, I. J., Derosse, P., Dickinson, D., Djurovic, S., Donohoe, G., Conley, E. D., Eriksson, J. G., Espeseth, T., Freimer, N. A., Giakoumaki, S., Giegling, I., Gill, M., Glahn, D. C., Hariri, A. R., Hatzimanolis, A., Keller, M. C., Knowles, E., Koltai, D., Konte, B., Lahti, J., Le Hellard, S., Lencz, T., Liewald, D. C., London, E., Lundervold, A. J., Malhotra, A. K., Melle, I., Morris, D., Need, A. C., Ollier, W., Palotie, A., Payton, A., Pendleton, N., Poldrack, R. A., Räikkönen, K., Reinvang, I., Roussos, P., Rujescu, D., Sabb, F. W., Scult, M. A., Smeland, O. B., Smyrnis, N., Starr, J. M., Steen, V. M., Stefanis, N. C., Straub, R. E., Sundet, K., Tiemeier, H., Voineskos, A. N., Weinberger, D. R., Widen, E., Yu, J., Abecasis, G., Andreassen, O. A., Breen, G., Christiansen, L., Debrabant, B., Dick, D. M., Heinz, A., Hjerling-Leffler, J., Ikram, M. A., Kendler, K. S., Martin, N. G., Medland, S. E., Pedersen, N. L., Plomin, R., Polderman, T. J. C., Ripke, S., Van Der Sluis, S., Sullivan, P. F., Vrieze, S. I., Wright, M. J., and Posthuma, D.

Abstract

Intelligence is highly heritable 1 and a major determinant of human health and well-being 2 . Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence 3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

Published
2018
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29. Novel loci and pathways significantly associated with longevity.

Author

Zeng, Y, Nie, C, Min, J, Liu, X, Li, M, Chen, H, Xu, H, Wang, M, Ni, T, Li, Y, Yan, H, Zhang, J-P, Song, C, Chi, L-Q, Wang, H-M, Dong, J, Zheng, G-Y, Lin, L, Qian, F, Qi, Y, Cao, H, Wang, Y, Zhang, L, Li, Z, Zhou, Y, Lu, J, Li, J, Qi, M, Bolund, L, Yashin, A, Land, KC, Gregory, S, Yang, Z, Gottschalk, W, Tao, W, Wang, J, Xu, X, Bae, H, Nygaard, M, Christiansen, L, Christensen, K, Franceschi, C, Lutz, MW, Gu, J, Tan, Q, Perls, T, Sebastiani, P, Deelen, J, Slagboom, E, Hauser, E, Tian, X-L, Yang, H, Vaupel, JW, Zeng, Y, Nie, C, Min, J, Liu, X, Li, M, Chen, H, Xu, H, Wang, M, Ni, T, Li, Y, Yan, H, Zhang, J-P, Song, C, Chi, L-Q, Wang, H-M, Dong, J, Zheng, G-Y, Lin, L, Qian, F, Qi, Y, Cao, H, Wang, Y, Zhang, L, Li, Z, Zhou, Y, Lu, J, Li, J, Qi, M, Bolund, L, Yashin, A, Land, KC, Gregory, S, Yang, Z, Gottschalk, W, Tao, W, Wang, J, Xu, X, Bae, H, Nygaard, M, Christiansen, L, Christensen, K, Franceschi, C, Lutz, MW, Gu, J, Tan, Q, Perls, T, Sebastiani, P, Deelen, J, Slagboom, E, Hauser, E, Tian, X-L, Yang, H, and Vaupel, JW

Abstract

Only two genome-wide significant loci associated with longevity have been identified so far, probably because of insufficient sample sizes of centenarians, whose genomes may harbor genetic variants associated with health and longevity. Here we report a genome-wide association study (GWAS) of Han Chinese with a sample size 2.7 times the largest previously published GWAS on centenarians. We identified 11 independent loci associated with longevity replicated in Southern-Northern regions of China, including two novel loci (rs2069837-IL6; rs2440012-ANKRD20A9P) with genome-wide significance and the rest with suggestive significance (P < 3.65 × 10(-5)). Eight independent SNPs overlapped across Han Chinese, European and U.S. populations, and APOE and 5q33.3 were replicated as longevity loci. Integrated analysis indicates four pathways (starch, sucrose and xenobiotic metabolism; immune response and inflammation; MAPK; calcium signaling) highly associated with longevity (P ≤ 0.006) in Han Chinese. The association with longevity of three of these four pathways (MAPK; immunity; calcium signaling) is supported by findings in other human cohorts. Our novel finding on the association of starch, sucrose and xenobiotic metabolism pathway with longevity is consistent with the previous results from Drosophilia. This study suggests protective mechanisms including immunity and nutrient metabolism and their interactions with environmental stress play key roles in human longevity.

Published
2016

35. Finite Element Simulation of Mechanical and Moisture-Related Stresses in Laterally Loaded Multi-Dowel Timber Connections

Author

Ormarsson, Sigurdur, Dahlblom, O., Nygaard, M. J., Ormarsson, Sigurdur, Dahlblom, O., and Nygaard, M. J.

Abstract

Numerical simulations of stress distribution within a moment stiff timber frame corner have been performed. The frame corner is a multi-dowel connection with two slotted-in steel plates. The interaction between the fasteners and the wood material is modelled as a full contact interaction based on penalty formulation. The wood material is assumed to be an orthotropic material in reference to elastic and shrinkage behaviours. Both mechanical loading (from snow and wind) and moisture loading have been studied. Model adaptivity was used to reduce the computer time and to find suitable coupling conditions between beam and solid elements. The simulation results have been compared with typical hand calculations. The conclusion is that the hand calculations diverge quite a lot from the simulation results and relatively small moisture changes can cause significant stresses in areas adjoining the fasteners.

Published
2010

40. Small payloads for the Shuttle

Author

Nygaard, M. A

Subjects
Space Transportation
Abstract

The Goddard Space Flight Center, Special Payloads Division (sounding rockets) experience in applying rocket mechanical experience and technology to the Shuttle is presented. While the mechanical design loads are similar, new considerations for thermal extremes, material control and attachment structures must be included. These additional requirements have been successfully introduced in the free flyer class of payloads, Shuttle Pointed Automonous Research Tool for Astronomy (SPARTAN), and a motorized door for the Get Away Special (GAS) payloads.

Published
1982

41. Development of inflatable structures for Electron Echo V

Author

Oliver, J. A and Nygaard, M. A

Subjects
Spacecraft Design, Testing And Performance
Abstract

The sounding rocket experiment, Electron Echo V, was designed to carry three devices to study the neutralization effects of the rocket upon electron beams emitted into the earth's magnetosphere. One was a 500 square foot current collector screen built on a framework of inflated 'mylar' tubes. The other two were 30 foot long Langmuir probes consisting of inflated tubes with sensor pads at various intervals. These devices were designed to be deployed at an altitude of 92-118 mi (148-190 km) by compressed gas carried in the payload. The development of these large (by sounding rocket standards) inflatables and the methods of packaging and deployment are described.

Published
1979

43. On-line analysis of middle latency auditory evoked potentials (MLAEP) for monitoring depth of anaesthesia in laboratory rats

Author

Jensen, E W, Nygaard, M, Henneberg, S W, Jensen, E W, Nygaard, M, and Henneberg, S W

Abstract

In laboratory animals as well as in human beings a depth of anaesthesia, where the subject has no pain or recall of events from the surgery, should be provided. Haemodynamic parameters such as heart rate and blood pressure are not a guarantee for an optimal depth of anaesthesia, especially when using neuromuscular blocking agents (NMBA). A number of studies suggest that the Middle Latency Auditory Evoked Potentials (MLAEP) contain information about the state of consciousness in humans. The purpose of this study was to examine whether the AEP could serve as an indicator of depth of anaesthesia in rats. The AEP was elicited with a click stimulus and monitored in an 80 ms window synchronised to the stimulus. The AEP was extracted applying an Auto Regressive Model with Exogenous Input (ARX-model) from which a Depth of Anaesthesia Index (DAI) was calculated. DAI was normalised to 100 while awake and decreasing gradually to a level between 50 and 20 as the rat was anaesthetised. Nine rats were anaesthetised and included in the study. Four doses of Hypnorm vet. and Dormicum were given as a total, each with 5 minutes interval. Clinical signs of the level of anaesthesia were observed simultaneously with the AEP. The results showed that in four rats DAI decreased to a level below 30 while anaesthetised. In the remaining five rats the AEP was only decreased to a level below 45. The results indicated that a simple dosing regimen based on weight was unable to give the same depth of anaesthesia in individual rats. The decrease in the DAI correlated well with the loss of stimulus response. In conclusion, MLAEP could be used as an indicator of depth of anaesthesia in rats during Hypnorm vet. and Dormicum administration. However studies applying other anaesthetic drugs should be carried out, before a conclusion of the general utility of the method can be made.

Published
1998

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