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1. Self-rated health in individuals with and without disease is associated with multiple biomarkers representing multiple biological domains

Author

Kananen, L., Enroth, L., Raitanen, J., Jylhava, J., Buerkle, A., Moreno-Villanueva, M., Bernhardt, J., Toussaint, O., Grubeck-Loebenstein, B., Malavolta, M., Basso, A., Piacenza, F., Collino, S., Gonos, E. S., Sikora, E., Gradinaru, D., Jansen, E. H. J. M., Dolle, M. E. T., Salmon, M., Stuetz, W., Weber, D., Grune, T., Breusing, N., Simm, A., Capri, M., Franceschi, C., Slagboom, P. E., Talbot, D. C. S., Libert, C., Koskinen, S., Bruunsgaard, H., Hansen, ÅM, Lund, R., Hurme, M., Jylha, M., Kananen, L., Enroth, L., Raitanen, J., Jylhava, J., Buerkle, A., Moreno-Villanueva, M., Bernhardt, J., Toussaint, O., Grubeck-Loebenstein, B., Malavolta, M., Basso, A., Piacenza, F., Collino, S., Gonos, E. S., Sikora, E., Gradinaru, D., Jansen, E. H. J. M., Dolle, M. E. T., Salmon, M., Stuetz, W., Weber, D., Grune, T., Breusing, N., Simm, A., Capri, M., Franceschi, C., Slagboom, P. E., Talbot, D. C. S., Libert, C., Koskinen, S., Bruunsgaard, H., Hansen, ÅM, Lund, R., Hurme, M., and Jylha, M.

Abstract

Self-rated health (SRH) is one of the most frequently used indicators in health and social research. Its robust association with mortality in very different populations implies that it is a comprehensive measure of health status and may even reflect the condition of the human organism beyond clinical diagnoses. Yet the biological basis of SRH is poorly understood. We used data from three independent European population samples (N approx. 15,000) to investigate the associations of SRH with 150 biomolecules in blood or urine (biomarkers). Altogether 57 biomarkers representing different organ systems were associated with SRH. In almost half of the cases the association was independent of disease and physical functioning. Biomarkers weakened but did not remove the association between SRH and mortality. We propose three potential pathways through which biomarkers may be incorporated into an individual's subjective health assessment, including (1) their role in clinical diseases; (2) their association with health-related lifestyles; and (3) their potential to stimulate physical sensations through interoceptive mechanisms. Our findings indicate that SRH has a solid biological basis and it is a valid but non-specific indicator of the biological condition of the human organism.

Published
2021

2. Self-rated health in individuals with and without disease is associated with multiple biomarkers representing multiple biological domains

Author

Kananen, L., Enroth, L., Raitanen, J., Jylhava, J., Buerkle, A., Moreno-Villanueva, M., Bernhardt, J., Toussaint, O., Grubeck-Loebenstein, B., Malavolta, M., Basso, A., Piacenza, F., Collino, S., Gonos, E. S., Sikora, E., Gradinaru, D., Jansen, E. H. J. M., Dolle, M. E. T., Salmon, M., Stuetz, W., Weber, D., Grune, T., Breusing, N., Simm, A., Capri, M., Franceschi, C., Slagboom, P. E., Talbot, D. C. S., Libert, C., Koskinen, S., Bruunsgaard, H., Hansen, ÅM, Lund, R., Hurme, M., Jylha, M., Kananen, L., Enroth, L., Raitanen, J., Jylhava, J., Buerkle, A., Moreno-Villanueva, M., Bernhardt, J., Toussaint, O., Grubeck-Loebenstein, B., Malavolta, M., Basso, A., Piacenza, F., Collino, S., Gonos, E. S., Sikora, E., Gradinaru, D., Jansen, E. H. J. M., Dolle, M. E. T., Salmon, M., Stuetz, W., Weber, D., Grune, T., Breusing, N., Simm, A., Capri, M., Franceschi, C., Slagboom, P. E., Talbot, D. C. S., Libert, C., Koskinen, S., Bruunsgaard, H., Hansen, ÅM, Lund, R., Hurme, M., and Jylha, M.

Abstract

Self-rated health (SRH) is one of the most frequently used indicators in health and social research. Its robust association with mortality in very different populations implies that it is a comprehensive measure of health status and may even reflect the condition of the human organism beyond clinical diagnoses. Yet the biological basis of SRH is poorly understood. We used data from three independent European population samples (N approx. 15,000) to investigate the associations of SRH with 150 biomolecules in blood or urine (biomarkers). Altogether 57 biomarkers representing different organ systems were associated with SRH. In almost half of the cases the association was independent of disease and physical functioning. Biomarkers weakened but did not remove the association between SRH and mortality. We propose three potential pathways through which biomarkers may be incorporated into an individual's subjective health assessment, including (1) their role in clinical diseases; (2) their association with health-related lifestyles; and (3) their potential to stimulate physical sensations through interoceptive mechanisms. Our findings indicate that SRH has a solid biological basis and it is a valid but non-specific indicator of the biological condition of the human organism.

Published
2021

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

Author

Joshi, P.K., Pirastu, N., Kentistou, K.A., Fischer, K., Hofer, E., Schraut, K.E., Clark, D.W., Nutile, T., Barnes, C.L.K., Timmers, P., Shen, X., Gandin, I., McDaid, A.F., Hansen, T.F., Gordon, S.D.S., Giulianini, F., Boutin, T.S., Abdellaoui, A., Zhao, W., Medina-Gomez, C., Bartz, T.M., Trompet, S., Lange, L.A., Raffield, L., Spek, A van der, Galesloot, T.E., Proitsi, P., Yanek, L.R., Bielak, L.F., Payton, A., Murgia, F., Concas, M.P., Biino, G., Tajuddin, S.M., Seppala, I., Amin, N., Boerwinkle, E., Borglum, A.D., Campbell, A., Demerath, E.W., Demuth, I., Faul, J.D., Ford, I., Gialluisi, A., Gogele, M., Graff, M, Hingorani, A., Hottenga, J.J., Hougaard, D.M., Hurme, M.A., Ikram, M.A., Jylha, M., Kuh, D., Ligthart, L., Lill, C.M., Lindenberger, U., Lumley, T., Magi, R., Marques-Vidal, P., Medland, S.E., Milani, L., Nagy, R., Ollier, W.E., Peyser, P.A., Pramstaller, P.P., Ridker, P.M., Rivadeneira, F., Ruggiero, D., Saba, Y., Schmidt, R., Schmidt, H., Slagboom, P.E., Smith, B.H., Smith, J.A., Sotoodehnia, N., Steinhagen-Thiessen, E., Rooij, F.J. van, Verbeek, A.L., Vermeulen, S.H., Vollenweider, P., Wang, Y, Werge, T., Whitfield, J.B., Zonderman, A.B., Lehtimaki, T., Evans, M.K., Pirastu, M., Fuchsberger, C., Bertram, L., Pendleton, N., Kardia, S.L., Ciullo, M., Becker, D.M., Wong, A., Psaty, B.M., Duijn, C.M. van, Wilson, J.G., Jukema, J.W., Kiemeney, L.A., Uitterlinden, A.G., Joshi, P.K., Pirastu, N., Kentistou, K.A., Fischer, K., Hofer, E., Schraut, K.E., Clark, D.W., Nutile, T., Barnes, C.L.K., Timmers, P., Shen, X., Gandin, I., McDaid, A.F., Hansen, T.F., Gordon, S.D.S., Giulianini, F., Boutin, T.S., Abdellaoui, A., Zhao, W., Medina-Gomez, C., Bartz, T.M., Trompet, S., Lange, L.A., Raffield, L., Spek, A van der, Galesloot, T.E., Proitsi, P., Yanek, L.R., Bielak, L.F., Payton, A., Murgia, F., Concas, M.P., Biino, G., Tajuddin, S.M., Seppala, I., Amin, N., Boerwinkle, E., Borglum, A.D., Campbell, A., Demerath, E.W., Demuth, I., Faul, J.D., Ford, I., Gialluisi, A., Gogele, M., Graff, M, Hingorani, A., Hottenga, J.J., Hougaard, D.M., Hurme, M.A., Ikram, M.A., Jylha, M., Kuh, D., Ligthart, L., Lill, C.M., Lindenberger, U., Lumley, T., Magi, R., Marques-Vidal, P., Medland, S.E., Milani, L., Nagy, R., Ollier, W.E., Peyser, P.A., Pramstaller, P.P., Ridker, P.M., Rivadeneira, F., Ruggiero, D., Saba, Y., Schmidt, R., Schmidt, H., Slagboom, P.E., Smith, B.H., Smith, J.A., Sotoodehnia, N., Steinhagen-Thiessen, E., Rooij, F.J. van, Verbeek, A.L., Vermeulen, S.H., Vollenweider, P., Wang, Y, Werge, T., Whitfield, J.B., Zonderman, A.B., Lehtimaki, T., Evans, M.K., Pirastu, M., Fuchsberger, C., Bertram, L., Pendleton, N., Kardia, S.L., Ciullo, M., Becker, D.M., Wong, A., Psaty, B.M., Duijn, C.M. van, Wilson, J.G., Jukema, J.W., Kiemeney, L.A., and Uitterlinden, A.G.

Abstract

Contains fulltext : 177742.pdf (publisher's version ) (Open Access), Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

Published
2017

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

Author

Joshi, P.K., Pirastu, N., Kentistou, K.A., Fischer, K., Hofer, E., Schraut, K.E., Clark, D.W., Nutile, T., Barnes, C.L.K., Timmers, P., Shen, X., Gandin, I., McDaid, A.F., Hansen, T.F., Gordon, S.D.S., Giulianini, F., Boutin, T.S., Abdellaoui, A., Zhao, W., Medina-Gomez, C., Bartz, T.M., Trompet, S., Lange, L.A., Raffield, L., Spek, A van der, Galesloot, T.E., Proitsi, P., Yanek, L.R., Bielak, L.F., Payton, A., Murgia, F., Concas, M.P., Biino, G., Tajuddin, S.M., Seppala, I., Amin, N., Boerwinkle, E., Borglum, A.D., Campbell, A., Demerath, E.W., Demuth, I., Faul, J.D., Ford, I., Gialluisi, A., Gogele, M., Graff, M, Hingorani, A., Hottenga, J.J., Hougaard, D.M., Hurme, M.A., Ikram, M.A., Jylha, M., Kuh, D., Ligthart, L., Lill, C.M., Lindenberger, U., Lumley, T., Magi, R., Marques-Vidal, P., Medland, S.E., Milani, L., Nagy, R., Ollier, W.E., Peyser, P.A., Pramstaller, P.P., Ridker, P.M., Rivadeneira, F., Ruggiero, D., Saba, Y., Schmidt, R., Schmidt, H., Slagboom, P.E., Smith, B.H., Smith, J.A., Sotoodehnia, N., Steinhagen-Thiessen, E., Rooij, F.J. van, Verbeek, A.L., Vermeulen, S.H., Vollenweider, P., Wang, Y, Werge, T., Whitfield, J.B., Zonderman, A.B., Lehtimaki, T., Evans, M.K., Pirastu, M., Fuchsberger, C., Bertram, L., Pendleton, N., Kardia, S.L., Ciullo, M., Becker, D.M., Wong, A., Psaty, B.M., Duijn, C.M. van, Wilson, J.G., Jukema, J.W., Kiemeney, L.A., Uitterlinden, A.G., Joshi, P.K., Pirastu, N., Kentistou, K.A., Fischer, K., Hofer, E., Schraut, K.E., Clark, D.W., Nutile, T., Barnes, C.L.K., Timmers, P., Shen, X., Gandin, I., McDaid, A.F., Hansen, T.F., Gordon, S.D.S., Giulianini, F., Boutin, T.S., Abdellaoui, A., Zhao, W., Medina-Gomez, C., Bartz, T.M., Trompet, S., Lange, L.A., Raffield, L., Spek, A van der, Galesloot, T.E., Proitsi, P., Yanek, L.R., Bielak, L.F., Payton, A., Murgia, F., Concas, M.P., Biino, G., Tajuddin, S.M., Seppala, I., Amin, N., Boerwinkle, E., Borglum, A.D., Campbell, A., Demerath, E.W., Demuth, I., Faul, J.D., Ford, I., Gialluisi, A., Gogele, M., Graff, M, Hingorani, A., Hottenga, J.J., Hougaard, D.M., Hurme, M.A., Ikram, M.A., Jylha, M., Kuh, D., Ligthart, L., Lill, C.M., Lindenberger, U., Lumley, T., Magi, R., Marques-Vidal, P., Medland, S.E., Milani, L., Nagy, R., Ollier, W.E., Peyser, P.A., Pramstaller, P.P., Ridker, P.M., Rivadeneira, F., Ruggiero, D., Saba, Y., Schmidt, R., Schmidt, H., Slagboom, P.E., Smith, B.H., Smith, J.A., Sotoodehnia, N., Steinhagen-Thiessen, E., Rooij, F.J. van, Verbeek, A.L., Vermeulen, S.H., Vollenweider, P., Wang, Y, Werge, T., Whitfield, J.B., Zonderman, A.B., Lehtimaki, T., Evans, M.K., Pirastu, M., Fuchsberger, C., Bertram, L., Pendleton, N., Kardia, S.L., Ciullo, M., Becker, D.M., Wong, A., Psaty, B.M., Duijn, C.M. van, Wilson, J.G., Jukema, J.W., Kiemeney, L.A., and Uitterlinden, A.G.

Abstract

Contains fulltext : 177742.pdf (publisher's version ) (Open Access), Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

Published
2017

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

Author

Joshi, P.K., Pirastu, N., Kentistou, K.A., Fischer, K., Hofer, E., Schraut, K.E., Clark, D.W., Nutile, T., Barnes, C.L.K., Timmers, P., Shen, X., Gandin, I., McDaid, A.F., Hansen, T.F., Gordon, S.D.S., Giulianini, F., Boutin, T.S., Abdellaoui, A., Zhao, W., Medina-Gomez, C., Bartz, T.M., Trompet, S., Lange, L.A., Raffield, L., Spek, A van der, Galesloot, T.E., Proitsi, P., Yanek, L.R., Bielak, L.F., Payton, A., Murgia, F., Concas, M.P., Biino, G., Tajuddin, S.M., Seppala, I., Amin, N., Boerwinkle, E., Borglum, A.D., Campbell, A., Demerath, E.W., Demuth, I., Faul, J.D., Ford, I., Gialluisi, A., Gogele, M., Graff, M, Hingorani, A., Hottenga, J.J., Hougaard, D.M., Hurme, M.A., Ikram, M.A., Jylha, M., Kuh, D., Ligthart, L., Lill, C.M., Lindenberger, U., Lumley, T., Magi, R., Marques-Vidal, P., Medland, S.E., Milani, L., Nagy, R., Ollier, W.E., Peyser, P.A., Pramstaller, P.P., Ridker, P.M., Rivadeneira, F., Ruggiero, D., Saba, Y., Schmidt, R., Schmidt, H., Slagboom, P.E., Smith, B.H., Smith, J.A., Sotoodehnia, N., Steinhagen-Thiessen, E., Rooij, F.J. van, Verbeek, A.L., Vermeulen, S.H., Vollenweider, P., Wang, Y, Werge, T., Whitfield, J.B., Zonderman, A.B., Lehtimaki, T., Evans, M.K., Pirastu, M., Fuchsberger, C., Bertram, L., Pendleton, N., Kardia, S.L., Ciullo, M., Becker, D.M., Wong, A., Psaty, B.M., Duijn, C.M. van, Wilson, J.G., Jukema, J.W., Kiemeney, L.A., Uitterlinden, A.G., Joshi, P.K., Pirastu, N., Kentistou, K.A., Fischer, K., Hofer, E., Schraut, K.E., Clark, D.W., Nutile, T., Barnes, C.L.K., Timmers, P., Shen, X., Gandin, I., McDaid, A.F., Hansen, T.F., Gordon, S.D.S., Giulianini, F., Boutin, T.S., Abdellaoui, A., Zhao, W., Medina-Gomez, C., Bartz, T.M., Trompet, S., Lange, L.A., Raffield, L., Spek, A van der, Galesloot, T.E., Proitsi, P., Yanek, L.R., Bielak, L.F., Payton, A., Murgia, F., Concas, M.P., Biino, G., Tajuddin, S.M., Seppala, I., Amin, N., Boerwinkle, E., Borglum, A.D., Campbell, A., Demerath, E.W., Demuth, I., Faul, J.D., Ford, I., Gialluisi, A., Gogele, M., Graff, M, Hingorani, A., Hottenga, J.J., Hougaard, D.M., Hurme, M.A., Ikram, M.A., Jylha, M., Kuh, D., Ligthart, L., Lill, C.M., Lindenberger, U., Lumley, T., Magi, R., Marques-Vidal, P., Medland, S.E., Milani, L., Nagy, R., Ollier, W.E., Peyser, P.A., Pramstaller, P.P., Ridker, P.M., Rivadeneira, F., Ruggiero, D., Saba, Y., Schmidt, R., Schmidt, H., Slagboom, P.E., Smith, B.H., Smith, J.A., Sotoodehnia, N., Steinhagen-Thiessen, E., Rooij, F.J. van, Verbeek, A.L., Vermeulen, S.H., Vollenweider, P., Wang, Y, Werge, T., Whitfield, J.B., Zonderman, A.B., Lehtimaki, T., Evans, M.K., Pirastu, M., Fuchsberger, C., Bertram, L., Pendleton, N., Kardia, S.L., Ciullo, M., Becker, D.M., Wong, A., Psaty, B.M., Duijn, C.M. van, Wilson, J.G., Jukema, J.W., Kiemeney, L.A., and Uitterlinden, A.G.

Abstract

Contains fulltext : 177742.pdf (publisher's version ) (Open Access), Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

Published
2017

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

Author

Joshi, PK, Pirastu, N, Kentistou, KA, Fischer, K, Hofer, E, Schraut, KE, Clark, DW, Nutile, T, Barnes, CLK, Timmers, P, Shen, X, Gandin, I, McDaid, AF, Hansen, TF, Gordon, SD, Giulianini, F, Boutin, TS, Abdellaoui, A, Zhao, W, Medina-Gomez, C, Bartz, TM, Trompet, S, Lange, LA, Raffield, L, van der Spek, Ashley, Galesloot, TE, Proitsi, P, Yanek, LR, Bielak, LF, Payton, A, Murgia, F, Concas, MP, Biino, G, Tajuddin, S M, Seppala, I, Amin, Najaf, Boerwinkle, E, Borglum, AD, Campbell, A (Archie), Demerath, EW, Demuth, I, Faul, JD, Ford, I, Gialluisi, A, Gogele, M, Graff, M, Hingorani, A, Hottenga, JJ, Hougaard, DM, Hurme, MA, Ikram, Arfan, Jylha, M, Kuh, D, Ligthart, L, Lill, CM, Lindenberger, U, Lumley, T, Magi, R, Marques-Vidal, P, Medland, SE, Milani, L, Nagy, R, Ollier, WER, Peyser, PA, Pramstaller, PP, Ridker, PM, Rivadeneira, F, Ruggiero, D, Saba, Y, Schmidt, R, Schmidt, H, Slagboom, PE (Eline), Smith, BH, Smith, JA, Sotoodehnia, N, Steinhagen-Thiessen, E, van Rooij, FJA, Verbeek, AL, Vermeulen, SH, Vollenweider, P, Wang, YP, Werge, T, Whitfield, JB, Zonderman, AB, Lehtimaki, T, Evans, MK, Pirastu, M, Fuchsberger, C, Bertram, L, Pendleton, N, Kardia, SLR, Ciullo, M, Becker, DM, Wong, A, Psaty, BM, Duijn, Cornelia, Wilson, JG, Jukema, JW, Kiemeney, L, Uitterlinden, André, Franceschini, N, North, KE, Weir, DR, Metspalu, A, Boomsma, DI, Hayward, C, Chasman, D, Martin, NG, Sattar, N, Campbell, H, Esko, T, Kutalik, Z, Wilson, JF, Joshi, PK, Pirastu, N, Kentistou, KA, Fischer, K, Hofer, E, Schraut, KE, Clark, DW, Nutile, T, Barnes, CLK, Timmers, P, Shen, X, Gandin, I, McDaid, AF, Hansen, TF, Gordon, SD, Giulianini, F, Boutin, TS, Abdellaoui, A, Zhao, W, Medina-Gomez, C, Bartz, TM, Trompet, S, Lange, LA, Raffield, L, van der Spek, Ashley, Galesloot, TE, Proitsi, P, Yanek, LR, Bielak, LF, Payton, A, Murgia, F, Concas, MP, Biino, G, Tajuddin, S M, Seppala, I, Amin, Najaf, Boerwinkle, E, Borglum, AD, Campbell, A (Archie), Demerath, EW, Demuth, I, Faul, JD, Ford, I, Gialluisi, A, Gogele, M, Graff, M, Hingorani, A, Hottenga, JJ, Hougaard, DM, Hurme, MA, Ikram, Arfan, Jylha, M, Kuh, D, Ligthart, L, Lill, CM, Lindenberger, U, Lumley, T, Magi, R, Marques-Vidal, P, Medland, SE, Milani, L, Nagy, R, Ollier, WER, Peyser, PA, Pramstaller, PP, Ridker, PM, Rivadeneira, F, Ruggiero, D, Saba, Y, Schmidt, R, Schmidt, H, Slagboom, PE (Eline), Smith, BH, Smith, JA, Sotoodehnia, N, Steinhagen-Thiessen, E, van Rooij, FJA, Verbeek, AL, Vermeulen, SH, Vollenweider, P, Wang, YP, Werge, T, Whitfield, JB, Zonderman, AB, Lehtimaki, T, Evans, MK, Pirastu, M, Fuchsberger, C, Bertram, L, Pendleton, N, Kardia, SLR, Ciullo, M, Becker, DM, Wong, A, Psaty, BM, Duijn, Cornelia, Wilson, JG, Jukema, JW, Kiemeney, L, Uitterlinden, André, Franceschini, N, North, KE, Weir, DR, Metspalu, A, Boomsma, DI, Hayward, C, Chasman, D, Martin, NG, Sattar, N, Campbell, H, Esko, T, Kutalik, Z, and Wilson, JF

Published
2017

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