Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 5 of 5 entries
Sorted by: Best Match Show Resources per page
Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation.

PloS one

Winkler TW, Justice AE, Cupples LA, Kronenberg F, Kutalik Z, Heid IM.
PMID: 28749953
PLoS One. 2017 Jul 27;12(7):e0181038. doi: 10.1371/journal.pone.0181038. eCollection 2017.

Genome-wide association meta-analyses (GWAMAs) conducted separately by two strata have identified differences in genetic effects between strata, such as sex-differences for body fat distribution. However, there are several approaches to identify such differences and an uncertainty which approach to...

Cite
Winkler TW, Justice AE, Cupples LA, et al. Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation. PLoS One. 2017;12(7):e0181038doi: 10.1371/journal.pone.0181038.
Winkler, T. W., Justice, A. E., Cupples, L. A., Kronenberg, F., Kutalik, Z., Heid, I. M. (2017). Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation. PloS one, 12(7), e0181038. https://doi.org/10.1371/journal.pone.0181038
Winkler, Thomas W, et al. "Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation." PloS one vol. 12,7 (2017): e0181038. doi: https://doi.org/10.1371/journal.pone.0181038
Winkler TW, Justice AE, Cupples LA, Kronenberg F, Kutalik Z, Heid IM. Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation. PLoS One. 2017 Jul 27;12(7):e0181038. doi: 10.1371/journal.pone.0181038. eCollection 2017. PMID: 28749953; PMCID: PMC5531538.
Copy Download .nbib Format: NLM
Ultra-rare disruptive and damaging mutations influence educational attainment in the general population.

Nature neuroscience

Ganna A, Genovese G, Howrigan DP, Byrnes A, Kurki M, Zekavat SM, Whelan CW, Kals M, Nivard MG, Bloemendal A, Bloom JM, Goldstein JI, Poterba T, Seed C, Handsaker RE, Natarajan P, Mägi R, Gage D, Robinson EB, Metspalu A, Salomaa V, Suvisaari J, Purcell SM, Sklar P, Kathiresan S, Daly MJ, McCarroll SA, Sullivan PF, Palotie A, Esko T, Hultman C, Neale BM.
PMID: 27694993
Nat Neurosci. 2016 Dec;19(12):1563-1565. doi: 10.1038/nn.4404. Epub 2016 Oct 03.

Disruptive, damaging ultra-rare variants in highly constrained genes are enriched in individuals with neurodevelopmental disorders. In the general population, this class of variants was associated with a decrease in years of education (YOE). This effect was stronger among highly...

Cite
Ganna A, Genovese G, Howrigan DP, et al. Ultra-rare disruptive and damaging mutations influence educational attainment in the general population. Nat Neurosci. 2016;19(12):1563-1565doi: 10.1038/nn.4404.
Ganna, A., Genovese, G., Howrigan, D. P., Byrnes, A., Kurki, M., Zekavat, S. M., Whelan, C. W., Kals, M., Nivard, M. G., Bloemendal, A., Bloom, J. M., Goldstein, J. I., Poterba, T., Seed, C., Handsaker, R. E., Natarajan, P., Mägi, R., Gage, D., Robinson, E. B., Metspalu, A., Salomaa, V., Suvisaari, J., Purcell, S. M., Sklar, P., Kathiresan, S., Daly, M. J., McCarroll, S. A., Sullivan, P. F., Palotie, A., Esko, T., Hultman, C., & Neale, B. M. (2016). Ultra-rare disruptive and damaging mutations influence educational attainment in the general population. Nature neuroscience, 19(12), 1563-1565. https://doi.org/10.1038/nn.4404
Ganna, Andrea, et al. "Ultra-rare disruptive and damaging mutations influence educational attainment in the general population." Nature neuroscience vol. 19,12 (2016): 1563-1565. doi: https://doi.org/10.1038/nn.4404
Ganna A, Genovese G, Howrigan DP, Byrnes A, Kurki M, Zekavat SM, Whelan CW, Kals M, Nivard MG, Bloemendal A, Bloom JM, Goldstein JI, Poterba T, Seed C, Handsaker RE, Natarajan P, Mägi R, Gage D, Robinson EB, Metspalu A, Salomaa V, Suvisaari J, Purcell SM, Sklar P, Kathiresan S, Daly MJ, McCarroll SA, Sullivan PF, Palotie A, Esko T, Hultman C, Neale BM. Ultra-rare disruptive and damaging mutations influence educational attainment in the general population. Nat Neurosci. 2016 Dec;19(12):1563-1565. doi: 10.1038/nn.4404. Epub 2016 Oct 03. PMID: 27694993; PMCID: PMC5127781.
Copy Download .nbib Format: NLM
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

Nature communications

Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, Taliun D, Olden M, Foster M, Yang Q, Chen MH, Pers TH, Johnson AD, Ko YA, Fuchsberger C, Tayo B, Nalls M, Feitosa MF, Isaacs A, Dehghan A, d'Adamo P, Adeyemo A, Dieffenbach AK, Zonderman AB, Nolte IM, van der Most PJ, Wright AF, Shuldiner AR, Morrison AC, Hofman A, Smith AV, Dreisbach AW, Franke A, Uitterlinden AG, Metspalu A, Tonjes A, Lupo A, Robino A, Johansson Å, Demirkan A, Kollerits B, Freedman BI, Ponte B, Oostra BA, Paulweber B, Krämer BK, Mitchell BD, Buckley BM, Peralta CA, Hayward C, Helmer C, Rotimi CN, Shaffer CM, Müller C, Sala C, van Duijn CM, Saint-Pierre A, Ackermann D, Shriner D, Ruggiero D, Toniolo D, Lu Y, Cusi D, Czamara D, Ellinghaus D, Siscovick DS, Ruderfer D, Gieger C, Grallert H, Rochtchina E, Atkinson EJ, Holliday EG, Boerwinkle E, Salvi E, Bottinger EP, Murgia F, Rivadeneira F, Ernst F, Kronenberg F, Hu FB, Navis GJ, Curhan GC, Ehret GB, Homuth G, Coassin S, Thun GA, Pistis G, Gambaro G, Malerba G, Montgomery GW, Eiriksdottir G, Jacobs G, Li G, Wichmann HE, Campbell H, Schmidt H, Wallaschofski H, Völzke H, Brenner H, Kroemer HK, Kramer H, Lin H, Leach IM, Ford I, Guessous I, Rudan I, Prokopenko I, Borecki I, Heid IM, Kolcic I, Persico I, Jukema JW, Wilson JF, Felix JF, Divers J, Lambert JC, Stafford JM, Gaspoz JM, Smith JA, Faul JD, Wang JJ, Ding J, Hirschhorn JN, Attia J, Whitfield JB, Chalmers J, Viikari J, Coresh J, Denny JC, Karjalainen J, Fernandes JK, Endlich K, Butterbach K, Keene KL, Lohman K, Portas L, Launer LJ, Lyytikäinen LP, Yengo L, Franke L, Ferrucci L, Rose LM, Kedenko L, Rao M, Struchalin M, Kleber ME, Cavalieri M, Haun M, Cornelis MC, Ciullo M, Pirastu M, de Andrade M, McEvoy MA, Woodward M, Adam M, Cocca M, Nauck M, Imboden M, Waldenberger M, Pruijm M, Metzger M, Stumvoll M, Evans MK, Sale MM, Kähönen M, Boban M, Bochud M, Rheinberger M, Verweij N, Bouatia-Naji N, Martin NG, Hastie N, Probst-Hensch N, Soranzo N, Devuyst O, Raitakari O, Gottesman O, Franco OH, Polasek O, Gasparini P, Munroe PB, Ridker PM, Mitchell P, Muntner P, Meisinger C, Smit JH, Kovacs P, Wild PS, Froguel P, Rettig R, Mägi R, Biffar R, Schmidt R, Middelberg RP, Carroll RJ, Penninx BW, Scott RJ, Katz R, Sedaghat S, Wild SH, Kardia SL, Ulivi S, Hwang SJ, Enroth S, Kloiber S, Trompet S, Stengel B, Hancock SJ, Turner ST, Rosas SE, Stracke S, Harris TB, Zeller T, Zemunik T, Lehtimäki T, Illig T, Aspelund T, Nikopensius T, Esko T, Tanaka T, Gyllensten U, Völker U, Emilsson V, Vitart V, Aalto V, Gudnason V, Chouraki V, Chen WM, Igl W, März W, Koenig W, Lieb W, Loos RJ, Liu Y, Snieder H, Pramstaller PP, Parsa A, O'Connell JR, Susztak K, Hamet P, Tremblay J, de Boer IH, Böger CA, Goessling W, Chasman DI, Köttgen A, Kao WH, Fox CS.
PMID: 26831199
Nat Commun. 2016 Jan 21;7:10023. doi: 10.1038/ncomms10023.

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up...

Cite
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023doi: 10.1038/ncomms10023.
Pattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., Garnaas, M., Tin, A., Sorice, R., Li, Y., Taliun, D., Olden, M., Foster, M., Yang, Q., Chen, M. H., Pers, T. H., Johnson, A. D., Ko, Y. A., Fuchsberger, C., Tayo, B., Nalls, M., Feitosa, M. F., Isaacs, A., Dehghan, A., d'Adamo, P., Adeyemo, A., Dieffenbach, A. K., Zonderman, A. B., Nolte, I. M., van der Most, P. J., Wright, A. F., Shuldiner, A. R., Morrison, A. C., Hofman, A., Smith, A. V., Dreisbach, A. W., Franke, A., Uitterlinden, A. G., Metspalu, A., Tonjes, A., Lupo, A., Robino, A., Johansson, �. �., Demirkan, A., Kollerits, B., Freedman, B. I., Ponte, B., Oostra, B. A., Paulweber, B., Krämer, B. K., Mitchell, B. D., Buckley, B. M., Peralta, C. A., Hayward, C., Helmer, C., Rotimi, C. N., Shaffer, C. M., Müller, C., Sala, C., van Duijn, C. M., Saint-Pierre, A., Ackermann, D., Shriner, D., Ruggiero, D., Toniolo, D., Lu, Y., Cusi, D., Czamara, D., Ellinghaus, D., Siscovick, D. S., Ruderfer, D., Gieger, C., Grallert, H., Rochtchina, E., Atkinson, E. J., Holliday, E. G., Boerwinkle, E., Salvi, E., Bottinger, E. P., Murgia, F., Rivadeneira, F., Ernst, F., Kronenberg, F., Hu, F. B., Navis, G. J., Curhan, G. C., Ehret, G. B., Homuth, G., Coassin, S., Thun, G. A., Pistis, G., Gambaro, G., Malerba, G., Montgomery, G. W., Eiriksdottir, G., Jacobs, G., Li, G., Wichmann, H. E., Campbell, H., Schmidt, H., Wallaschofski, H., Völzke, H., Brenner, H., Kroemer, H. K., Kramer, H., Lin, H., Leach, I. M., Ford, I., Guessous, I., Rudan, I., Prokopenko, I., Borecki, I., Heid, I. M., Kolcic, I., Persico, I., Jukema, J. W., Wilson, J. F., Felix, J. F., Divers, J., Lambert, J. C., Stafford, J. M., Gaspoz, J. M., Smith, J. A., Faul, J. D., Wang, J. J., Ding, J., Hirschhorn, J. N., Attia, J., Whitfield, J. B., Chalmers, J., Viikari, J., Coresh, J., Denny, J. C., Karjalainen, J., Fernandes, J. K., Endlich, K., Butterbach, K., Keene, K. L., Lohman, K., Portas, L., Launer, L. J., Lyytikäinen, L. P., Yengo, L., Franke, L., Ferrucci, L., Rose, L. M., Kedenko, L., Rao, M., Struchalin, M., Kleber, M. E., Cavalieri, M., Haun, M., Cornelis, M. C., Ciullo, M., Pirastu, M., de Andrade, M., McEvoy, M. A., Woodward, M., Adam, M., Cocca, M., Nauck, M., Imboden, M., Waldenberger, M., Pruijm, M., Metzger, M., Stumvoll, M., Evans, M. K., Sale, M. M., Kähönen, M., Boban, M., Bochud, M., Rheinberger, M., Verweij, N., Bouatia-Naji, N., Martin, N. G., Hastie, N., Probst-Hensch, N., Soranzo, N., Devuyst, O., Raitakari, O., Gottesman, O., Franco, O. H., Polasek, O., Gasparini, P., Munroe, P. B., Ridker, P. M., Mitchell, P., Muntner, P., Meisinger, C., Smit, J. H., Kovacs, P., Wild, P. S., Froguel, P., Rettig, R., Mägi, R., Biffar, R., Schmidt, R., Middelberg, R. P., Carroll, R. J., Penninx, B. W., Scott, R. J., Katz, R., Sedaghat, S., Wild, S. H., Kardia, S. L., Ulivi, S., Hwang, S. J., Enroth, S., Kloiber, S., Trompet, S., Stengel, B., Hancock, S. J., Turner, S. T., Rosas, S. E., Stracke, S., Harris, T. B., Zeller, T., Zemunik, T., Lehtimäki, T., Illig, T., Aspelund, T., Nikopensius, T., Esko, T., Tanaka, T., Gyllensten, U., Völker, U., Emilsson, V., Vitart, V., Aalto, V., Gudnason, V., Chouraki, V., Chen, W. M., Igl, W., März, W., Koenig, W., Lieb, W., Loos, R. J., Liu, Y., Snieder, H., Pramstaller, P. P., Parsa, A., O'Connell, J. R., Susztak, K., Hamet, P., Tremblay, J., de Boer, I. H., Böger, C. A., Goessling, W., Chasman, D. I., Köttgen, A., Kao, W. H., & Fox, C. S. (2016). Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nature communications, 710023. https://doi.org/10.1038/ncomms10023
Pattaro, Cristian, et al. "Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function." Nature communications vol. 7 (2016): 10023. doi: https://doi.org/10.1038/ncomms10023
Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, Taliun D, Olden M, Foster M, Yang Q, Chen MH, Pers TH, Johnson AD, Ko YA, Fuchsberger C, Tayo B, Nalls M, Feitosa MF, Isaacs A, Dehghan A, d'Adamo P, Adeyemo A, Dieffenbach AK, Zonderman AB, Nolte IM, van der Most PJ, Wright AF, Shuldiner AR, Morrison AC, Hofman A, Smith AV, Dreisbach AW, Franke A, Uitterlinden AG, Metspalu A, Tonjes A, Lupo A, Robino A, Johansson Å, Demirkan A, Kollerits B, Freedman BI, Ponte B, Oostra BA, Paulweber B, Krämer BK, Mitchell BD, Buckley BM, Peralta CA, Hayward C, Helmer C, Rotimi CN, Shaffer CM, Müller C, Sala C, van Duijn CM, Saint-Pierre A, Ackermann D, Shriner D, Ruggiero D, Toniolo D, Lu Y, Cusi D, Czamara D, Ellinghaus D, Siscovick DS, Ruderfer D, Gieger C, Grallert H, Rochtchina E, Atkinson EJ, Holliday EG, Boerwinkle E, Salvi E, Bottinger EP, Murgia F, Rivadeneira F, Ernst F, Kronenberg F, Hu FB, Navis GJ, Curhan GC, Ehret GB, Homuth G, Coassin S, Thun GA, Pistis G, Gambaro G, Malerba G, Montgomery GW, Eiriksdottir G, Jacobs G, Li G, Wichmann HE, Campbell H, Schmidt H, Wallaschofski H, Völzke H, Brenner H, Kroemer HK, Kramer H, Lin H, Leach IM, Ford I, Guessous I, Rudan I, Prokopenko I, Borecki I, Heid IM, Kolcic I, Persico I, Jukema JW, Wilson JF, Felix JF, Divers J, Lambert JC, Stafford JM, Gaspoz JM, Smith JA, Faul JD, Wang JJ, Ding J, Hirschhorn JN, Attia J, Whitfield JB, Chalmers J, Viikari J, Coresh J, Denny JC, Karjalainen J, Fernandes JK, Endlich K, Butterbach K, Keene KL, Lohman K, Portas L, Launer LJ, Lyytikäinen LP, Yengo L, Franke L, Ferrucci L, Rose LM, Kedenko L, Rao M, Struchalin M, Kleber ME, Cavalieri M, Haun M, Cornelis MC, Ciullo M, Pirastu M, de Andrade M, McEvoy MA, Woodward M, Adam M, Cocca M, Nauck M, Imboden M, Waldenberger M, Pruijm M, Metzger M, Stumvoll M, Evans MK, Sale MM, Kähönen M, Boban M, Bochud M, Rheinberger M, Verweij N, Bouatia-Naji N, Martin NG, Hastie N, Probst-Hensch N, Soranzo N, Devuyst O, Raitakari O, Gottesman O, Franco OH, Polasek O, Gasparini P, Munroe PB, Ridker PM, Mitchell P, Muntner P, Meisinger C, Smit JH, Kovacs P, Wild PS, Froguel P, Rettig R, Mägi R, Biffar R, Schmidt R, Middelberg RP, Carroll RJ, Penninx BW, Scott RJ, Katz R, Sedaghat S, Wild SH, Kardia SL, Ulivi S, Hwang SJ, Enroth S, Kloiber S, Trompet S, Stengel B, Hancock SJ, Turner ST, Rosas SE, Stracke S, Harris TB, Zeller T, Zemunik T, Lehtimäki T, Illig T, Aspelund T, Nikopensius T, Esko T, Tanaka T, Gyllensten U, Völker U, Emilsson V, Vitart V, Aalto V, Gudnason V, Chouraki V, Chen WM, Igl W, März W, Koenig W, Lieb W, Loos RJ, Liu Y, Snieder H, Pramstaller PP, Parsa A, O'Connell JR, Susztak K, Hamet P, Tremblay J, de Boer IH, Böger CA, Goessling W, Chasman DI, Köttgen A, Kao WH, Fox CS. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016 Jan 21;7:10023. doi: 10.1038/ncomms10023. PMID: 26831199; PMCID: PMC4735748.
Copy Download .nbib Format: NLM
Biological interpretation of genome-wide association studies using predicted gene functions.

Nature communications

Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L.
PMID: 25597830
Nat Commun. 2015 Jan 19;6:5890. doi: 10.1038/ncomms6890.

The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes...

Cite
Pers TH, Karjalainen JM, Chan Y, et al. Biological interpretation of genome-wide association studies using predicted gene functions. Nat Commun. 2015;6:5890doi: 10.1038/ncomms6890.
Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H. J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., Frayling, T., Speliotes, E. K., Boehnke, M., Raychaudhuri, S., Fehrmann, R. S., Hirschhorn, J. N., & Franke, L. (2015). Biological interpretation of genome-wide association studies using predicted gene functions. Nature communications, 65890. https://doi.org/10.1038/ncomms6890
Pers, Tune H, et al. "Biological interpretation of genome-wide association studies using predicted gene functions." Nature communications vol. 6 (2015): 5890. doi: https://doi.org/10.1038/ncomms6890
Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L. Biological interpretation of genome-wide association studies using predicted gene functions. Nat Commun. 2015 Jan 19;6:5890. doi: 10.1038/ncomms6890. PMID: 25597830; PMCID: PMC4420238.
Copy Download .nbib Format: NLM
Hidden heritability due to heterogeneity across seven populations.

Nature human behaviour

Tropf FC, Lee SH, Verweij RM, Stulp G, van der Most PJ, de Vlaming R, Bakshi A, Briley DA, Rahal C, Hellpap R, Iliadou AN, Esko T, Metspalu A, Medland SE, Martin NG, Barban N, Snieder H, Robinson MR, Mills MC.
PMID: 29051922
Nat Hum Behav. 2017 Oct;1(10):757-765. doi: 10.1038/s41562-017-0195-1. Epub 2017 Sep 11.

Meta-analyses of genome-wide association studies (GWAS), which dominate genetic discovery are based on data from diverse historical time periods and populations. Genetic scores derived from GWAS explain only a fraction of the heritability estimates obtained from whole-genome studies on...

Cite
Tropf FC, Lee SH, Verweij RM, et al. Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav. 2017;1(10):757-765doi: 10.1038/s41562-017-0195-1.
Tropf, F. C., Lee, S. H., Verweij, R. M., Stulp, G., van der Most, P. J., de Vlaming, R., Bakshi, A., Briley, D. A., Rahal, C., Hellpap, R., Iliadou, A. N., Esko, T., Metspalu, A., Medland, S. E., Martin, N. G., Barban, N., Snieder, H., Robinson, M. R., & Mills, M. C. (2017). Hidden heritability due to heterogeneity across seven populations. Nature human behaviour, 1(10), 757-765. https://doi.org/10.1038/s41562-017-0195-1
Tropf, Felix C, et al. "Hidden heritability due to heterogeneity across seven populations." Nature human behaviour vol. 1,10 (2017): 757-765. doi: https://doi.org/10.1038/s41562-017-0195-1
Tropf FC, Lee SH, Verweij RM, Stulp G, van der Most PJ, de Vlaming R, Bakshi A, Briley DA, Rahal C, Hellpap R, Iliadou AN, Esko T, Metspalu A, Medland SE, Martin NG, Barban N, Snieder H, Robinson MR, Mills MC. Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav. 2017 Oct;1(10):757-765. doi: 10.1038/s41562-017-0195-1. Epub 2017 Sep 11. PMID: 29051922; PMCID: PMC5642946.
Copy Download .nbib Format: NLM
Showing 1 to 5 of 5 entries