Genetic correlations of polygenic disease traits: from theory to practice von van Rheenen, Wouter, Peyrot, Wouter J., Schork, Andrew J., Lee, S. Hong, Wray, Naomi R.

Volltext

An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction von Zhou, Xuan, Lee, S. Hong

Volltext

GCTA: A Tool for Genome-wide Complex Trait Analysis von Yang, Jian, Lee, S. Hong, Goddard, Michael E., Visscher, Peter M.

Volltext

CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses von Zhou, Xuan, Im, Hae Kyung, Lee, S. Hong

Volltext

RICOPILI: Rapid Imputation for COnsortias PIpeLIne von Lam, Max, Awasthi, Swapnil, Watson, Hunna J, Goldstein, Jackie, Panagiotaropoulou, Georgia, Trubetskoy, Vassily, Karlsson, Robert, Frei, Oleksander, Fan, Chun-Chieh, De Witte, Ward, Mota, Nina R, Mullins, Niamh, Brügger, Kim, Lee, S Hong, Wray, Naomi R, Skarabis, Nora, Huang, Hailiang, Neale, Benjamin, Daly, Mark J, Mattheisen, Manuel, Walters, Raymond, Ripke, Stephan

Volltext

Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs von Lee, S Hong, DeCandia, Teresa R, Ripke, Stephan, Yang, Jian, Sullivan, Patrick F, Goddard, Michael E, Keller, Matthew C, Visscher, Peter M, Wray, Naomi R

Volltext

Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model von Ni, Guiyan, van der Werf, Julius, Zhou, Xuan, Hyppönen, Elina, Wray, Naomi R., Lee, S. Hong

Volltext

Host genetic determinants of COVID-19 susceptibility and severity: A systematic review and meta-analysis von Eshetie, Setegn, Jullian, Pastor, Benyamin, Beben, Lee, S Hong

Volltext

Phenotypic variance partitioning by transcriptomic gene expression levels and environmental variables for anthropometric traits using GTEx data von Jullian Fabres, Pastor, Lee, S Hong

Volltext

A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data von Momin, Md. Moksedul, Shin, Jisu, Lee, Soohyun, Truong, Buu, Benyamin, Beben, Lee, S. Hong

Volltext

Adiposity and cancer: a Mendelian randomization analysis in the UK biobank von Ahmed, Muktar, Mulugeta, Anwar, Lee, S. Hong, Mäkinen, Ville-Petteri, Boyle, Terry, Hyppönen, Elina

Volltext

Integrative analysis of genomic and exposomic influences on youth mental health von Choi, Karmel W., Wilson, Marina, Ge, Tian, Kandola, Aaron, Patel, Chirag J., Lee, S. Hong, Smoller, Jordan W.

Volltext

Contextualizing genetic risk score for disease screening and rare variant discovery von Zhou, Dan, Yu, Dongmei, Scharf, Jeremiah M., Mathews, Carol A., McGrath, Lauren, Cook, Edwin, Lee, S. Hong, Davis, Lea K., Gamazon, Eric R.

Volltext

Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models von Jayasinghe, Dovini, Momin, Md. Moksedul, Beckmann, Kerri, Hyppönen, Elina, Benyamin, Beben, Lee, S. Hong

Volltext

Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives von Truong, Buu, Zhou, Xuan, Shin, Jisu, Li, Jiuyong, van der Werf, Julius H. J., Le, Thuc D., Lee, S. Hong

Volltext

The genetic relationship between female reproductive traits and six psychiatric disorders von Ni, Guiyan, Amare, Azmeraw T., Zhou, Xuan, Mills, Natalie, Gratten, Jacob, Lee, S. Hong

Volltext

Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship von Lee, S Hong, Clark, Sam, van der Werf, Julius H J

Volltext

Circulating Phylloquinone and the Risk of Four Female-Specific Cancers: A Mendelian Randomization Study von Yalew, Melaku, Mulugeta, Anwar, Lumsden, Amanda L., Madakkatel, Iqbal, Lee, S. Hong, Oehler, Martin K., Mäenpää, Johanna, Hyppönen, Elina

Volltext

Additive Genetic Variation in Schizophrenia Risk Is Shared by Populations of African and European Descent von de Candia, Teresa R., Lee, S. Hong, Yang, Jian, Browning, Brian L., Gejman, Pablo V., Levinson, Douglas F., Mowry, Bryan J., Hewitt, John K., Goddard, Michael E., O’Donovan, Michael C., Purcell, Shaun M., Posthuma, Danielle, Visscher, Peter M., Wray, Naomi R., Keller, Matthew C.

Volltext

GCTA-GREML accounts for linkage disequilibrium when estimating genetic variance from genome-wide SNPs von Yang, Jian, Lee, S. Hong, Wray, Naomi R., Goddard, Michael E., Visscher, Peter M.

Volltext