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2023

Journal Article

Genetic and modifiable risk factors combine multiplicatively in common disease

Pang, Shichao, Yengo, Loic, Nelson, Christopher P., Bourier, Felix, Zeng, Lingyao, Li, Ling, Kessler, Thorsten, Erdmann, Jeanette, Mägi, Reedik, Läll, Kristi, Metspalu, Andres, Mueller-Myhsok, Bertram, Samani, Nilesh J., Visscher, Peter M. and Schunkert, Heribert (2023). Genetic and modifiable risk factors combine multiplicatively in common disease. Clinical Research in Cardiology, 112 (2), 247-257. doi: 10.1007/s00392-022-02081-4

Genetic and modifiable risk factors combine multiplicatively in common disease

2022

Journal Article

Author Correction: Assortative mating biases marker-based heritability estimators (Nature Communications, (2022), 13, 1, (660), 10.1038/s41467-022-28294-9)

Border, Richard, O’Rourke, Sean, de Candia, Teresa, Goddard, Michael E., Visscher, Peter M., Yengo, Loic, Jones, Matt and Keller, Matthew C. (2022). Author Correction: Assortative mating biases marker-based heritability estimators (Nature Communications, (2022), 13, 1, (660), 10.1038/s41467-022-28294-9). Nature Communications, 13 (1) 1903, 1903. doi: 10.1038/s41467-022-29652-3

Author Correction: Assortative mating biases marker-based heritability estimators (Nature Communications, (2022), 13, 1, (660), 10.1038/s41467-022-28294-9)

2022

Journal Article

Local CpG density affects the trajectory and variance of age-associated DNA methylation changes

Higham, Jonathan, Kerr, Lyndsay, Zhang, Qian, Walker, Rosie M., Harris, Sarah E., Howard, David M., Hawkins, Emma L., Sandu, Anca-Larisa, Steele, J. Douglas, Waiter, Gordon D., Murray, Alison D., Evans, Kathryn L., McIntosh, Andrew M., Visscher, Peter M., Deary, Ian J., Cox, Simon R. and Sproul, Duncan (2022). Local CpG density affects the trajectory and variance of age-associated DNA methylation changes. Genome Biology, 23 (1) 216, 1-28. doi: 10.1186/s13059-022-02787-8

Local CpG density affects the trajectory and variance of age-associated DNA methylation changes

2022

Journal Article

Development and external validation of multivariable risk models to predict incident and resolved neuropathic pain: a DOLORisk Dundee study

Hebert, Harry L., Veluchamy, Abirami, Baskozos, Georgios, Fardo, Francesca, Van Ryckeghem, Dimitri, Pearson, Ewan R., Colvin, Lesley A., Crombez, Geert, Bennett, David L. H., Meng, Weihua, Palmer, Colin N. A. and Smith, Blair H. (2022). Development and external validation of multivariable risk models to predict incident and resolved neuropathic pain: a DOLORisk Dundee study. Journal of Neurology, 270 (2), 1076-1094. doi: 10.1007/s00415-022-11478-0

Development and external validation of multivariable risk models to predict incident and resolved neuropathic pain: a DOLORisk Dundee study

2022

Journal Article

The effect of the scale of grant scoring on ranking accuracy

Visscher, Peter M. and Yengo, Loic (2022). The effect of the scale of grant scoring on ranking accuracy. F1000Research, 11 1197, 1-18. doi: 10.12688/f1000research.125400.1

The effect of the scale of grant scoring on ranking accuracy

2022

Journal Article

Parsimonious model for mass-univariate vertexwise analysis

Couvy-Duchesne, Baptiste, Zhang, Futao, Kemper, Kathryn E., Sidorenko, Julia, Wray, Naomi R., Visscher, Peter M., Colliot, Olivier and Yang, Jian (2022). Parsimonious model for mass-univariate vertexwise analysis. Journal of Medical Imaging, 9 (5) 052404, 1-19. doi: 10.1117/1.JMI.9.5.052404

Parsimonious model for mass-univariate vertexwise analysis

2022

Journal Article

Improving GWAS discovery and genomic prediction accuracy in biobank data

Orliac, Etienne J., Banos, Daniel Trejo, Ojavee, Sven E., Läll, Kristi, Mägi, Reedik, Visscher, Peter M. and Robinson, Matthew R. (2022). Improving GWAS discovery and genomic prediction accuracy in biobank data. Proceedings of the National Academy of Sciences of the United States of America, 119 (31) e2121279119, 1-8. doi: 10.1073/pnas.2121279119

Improving GWAS discovery and genomic prediction accuracy in biobank data

2022

Journal Article

Author Correction: From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill

Charlesworth, Brian, Goddard, Michael E., Meyer, Karin, Visscher, Peter M., Weir, Bruce S. and Wray, Naomi R. (2022). Author Correction: From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill. Nature Genetics, 54 (9), 1448-1448. doi: 10.1038/s41588-022-01160-6

Author Correction: From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill

2022

Journal Article

From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill

Charlesworth, Brian, Goddard, Michael E., Meyer, Karin, Visscher, Peter M., Weir, Bruce S. and Wray, Naomi R. (2022). From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill. Nature Genetics, 54 (7), 934-939. doi: 10.1038/s41588-022-01103-1

From Mendel to quantitative genetics in the genome era: the scientific legacy of W. G. Hill

2022

Journal Article

Genetics of cognitive performance, education and learning: from research to policy?

Visscher, Peter M. (2022). Genetics of cognitive performance, education and learning: from research to policy?. npj Science of Learning, 7 (1) 8, 8. doi: 10.1038/s41539-022-00124-z

Genetics of cognitive performance, education and learning: from research to policy?

2022

Conference Publication

Clustering of Genetic Effects on Cortical Morphology and Links to Psychiatric Disorders

Makowski, Carolina, van der Meer, Dennis, Dong, Weixiu, Wang, Hao, Wu, Yan, Zou, Jingjing, Liu, Cin, Rosenthal, Sara B., Hagler, Donald J., Fan, Chun Chieh, Kremen, William S., Andreassen, Ole A., Jernigan, Terry L., Dale, Anders M., Zhang, Kun, Visscher, Peter M., Yang, Jian and Chen, Chi-Hua (2022). Clustering of Genetic Effects on Cortical Morphology and Links to Psychiatric Disorders. 77th Annual Scientific Convention and Meeting of the Society-of-Biological-Psychiatry (SOBP), New Orleans La, Apr 28-30, 2022. NEW YORK: ELSEVIER SCIENCE INC.

Clustering of Genetic Effects on Cortical Morphology and Links to Psychiatric Disorders

2022

Journal Article

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Trubetskoy, Vassily, Pardiñas, Antonio F, Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B, Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A, Hall, Lynsey S, Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C, Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L, Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G ... Schizophrenia Working Group of the Psychiatric Genomics Consortium (2022). Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 604 (7906), 502-508. doi: 10.1038/s41586-022-04434-5

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

2022

Journal Article

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Nehzati, Seyed Moeen, Sidorenko, Julia, Kweon, Hyeokmoon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Hicks, Barry, Tian, Chao, Hinds, David A., Ahlskog, Rafael, Magnusson, Patrik K E, Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David J., Freese, Jeremy, Herd, Pamela, Watson, Chelsea, Jala, Jonathan, Conley, Dalton, Koellinger, Philipp D., Johannesson, Magnus, Laibson, David, Meyer, Michelle N. ... Social Science Genetic Association Consortium (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54 (4), 437-449. doi: 10.1038/s41588-022-01016-z

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

2022

Journal Article

Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

Wainschtein, Pierrick, Jain, Deepti, Zheng, Zhili, Aslibekyan, Stella, Becker, Diane, Bi, Wenjian, Brody, Jennifer, Carlson, Jenna C., Correa, Adolfo, Du, Margaret Mengmeng, Fernandez-Rhodes, Lindsay, Ferrier, Kendra R., Graff, Misa, Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy L., Highland, Heather M., Hirschhorn, Joel N., Howard-Claudio, Candace M., Isasi, Carmen R., Jackson, Rebecca, Jiang, Jicai, Joehanes, Roby, Justice, Anne E., Kalyani, Rita R., Kardia, Sharon, Lange, Ethan, LeBoff, Meryl, Lee, Seunggeun ... NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium (2022). Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. Nature Genetics, 54 (3), 263-273. doi: 10.1038/s41588-021-00997-7

Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

2022

Journal Article

Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases

Makowski, Carolina, van der Meer, Dennis, Dong, Weixiu, Wang, Hao, Wu, Yan, Zou, Jingjing, Liu, Cin, Rosenthal, Sara B., Hagler, Donald J., Fan, Chun Chieh, Kremen, William S., Andreassen, Ole A., Jernigan, Terry L., Dale, Anders M., Zhang, Kun, Visscher, Peter M., Yang, Jian and Chen, Chi-Hua (2022). Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases. Science, 375 (6580) A27, 522-528. doi: 10.1126/science.abe8457

Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases

2022

Journal Article

Assortative mating biases marker-based heritability estimators

Border, Richard, O’Rourke, Sean, de Candia, Teresa, Goddard, Michael E., Visscher, Peter M., Yengo, Loic, Jones, Matt and Keller, Matthew C. (2022). Assortative mating biases marker-based heritability estimators. Nature Communications, 13 (1) 660. doi: 10.1038/s41467-022-28294-9

Assortative mating biases marker-based heritability estimators

2022

Journal Article

Australian Parkinson’s Genetics Study (APGS): pilot (n=1532)

Bivol, Svetlana, Mellick, George D., Gratten, Jacob, Parker, Richard, Mulcahy, Aoibhe, Mosley, Philip E., Poortvliet, Peter C., Campos, Adrian I., Mitchell, Brittany L., Garcia-Marin, Luis M., Cross, Simone, Ferguson, Mary, Lind, Penelope A., Loesch, Danuta Z., Visscher, Peter M., Medland, Sarah E., Scherzer, Clemens R., Martin, Nicholas G. and Rentería, Miguel E. (2022). Australian Parkinson’s Genetics Study (APGS): pilot (n=1532). BMJ Open, 12 (2) e052032, e052032. doi: 10.1136/bmjopen-2021-052032

Australian Parkinson’s Genetics Study (APGS): pilot (n=1532)

2022

Journal Article

Epigenetic scores for the circulating proteome as tools for disease prediction

Gadd, Danni A., Hillary, Robert F., McCartney, Daniel L., Zaghlool, Shaza B., Stevenson, Anna J., Cheng, Yipeng, Fawns-Ritchie, Chloe, Nangle, Cliff, Campbell, Archie, Flaig, Robin, Harris, Sarah E., Walker, Rosie M., Shi, Liu, Tucker-Drob, Elliot M., Gieger, Christian, Peters, Annette, Waldenberger, Melanie, Graumann, Johannes, McRae, Allan F., Deary, Ian J., Porteous, David J., Hayward, Caroline, Visscher, Peter M., Cox, Simon R., Evans, Kathryn L., McIntosh, Andrew M., Suhre, Karsten and Marioni, Riccardo E. (2022). Epigenetic scores for the circulating proteome as tools for disease prediction. eLife, 11 e71802, 1-24. doi: 10.7554/eLife.71802

Epigenetic scores for the circulating proteome as tools for disease prediction

2021

Book Chapter

Marker assisted selection

Visscher, P. M., van der Beek, S. and Haley, C. S. (2021). Marker assisted selection. Animal Breeding. (pp. 119-136) edited by A.E. Clark. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315137483-9

Marker assisted selection

2021

Journal Article

Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors

Chen, Wenhan, Wu, Yang, Zheng, Zhili, Qi, Ting, Visscher, Peter M., Zhu, Zhihong and Yang, Jian (2021). Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors. Nature Communications, 12 (1) 7117, 7117. doi: 10.1038/s41467-021-27438-7

Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors