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2024

Other Outputs

Hwang_2024_NatCommun

Hwang, Daniel and Evans, David (2024). Hwang_2024_NatCommun. The University of Queensland. (Dataset) doi: 10.48610/9f69854

Hwang_2024_NatCommun

2023

Other Outputs

GWAS summary statistics of phenotypes generated for the journal article "Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk" published in 2022.

Moen, Gunn-Helen, Evans, David and D’Urso, Shannon (2023). GWAS summary statistics of phenotypes generated for the journal article "Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk" published in 2022.. The University of Queensland. (Dataset) doi: 10.48610/3381ffb

GWAS summary statistics of phenotypes generated for the journal article "Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk" published in 2022.

2021

Other Outputs

Using adopted individuals to partition maternal genetic effects into prenatal and postnatal effects on offspring phenotypes

Hwang, Liang-Dar, Moen, Gunn-Helen and Evans, David M. (2021). Using adopted individuals to partition maternal genetic effects into prenatal and postnatal effects on offspring phenotypes. doi: 10.1101/2021.08.04.455178

Using adopted individuals to partition maternal genetic effects into prenatal and postnatal effects on offspring phenotypes

2021

Other Outputs

Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomization using polygenic risk scores

Bond, Tom A, Richmond, Rebecca C, Karhunen, Ville, Cuellar-Partida, Gabriel, Borges, Maria Carolina, Zuber, Verena, Alves, Alexessander Couto, Mason, Dan, Yang, Tiffany C, Gunter, Marc J, Dehghan, Abbas, Tzoulaki, Ioanna, Sebert, Sylvain, Evans, David M, Lewin, Alex M, O’Reilly, Paul F, Lawlor, Deborah A and Järvelin, Marjo-Riitta (2021). Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomization using polygenic risk scores. doi: 10.1101/2021.04.01.21251414

Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomization using polygenic risk scores

2020

Other Outputs

Haplotype-based analysis distinguishes maternal-fetal genetic contribution to pregnancy-related outcomes

Srivastava, Amit K., Juodakis, Julius, Sole-Navais, Pol, Chen, Jing, Bacelis, Jonas, Teramo, Kari, Hallman, Mikko, Njølstad, Pal R., Evans, David M., Jacobsson, Bo, Muglia, Louis J. and Zhang, Ge (2020). Haplotype-based analysis distinguishes maternal-fetal genetic contribution to pregnancy-related outcomes. doi: 10.1101/2020.05.12.079863

Haplotype-based analysis distinguishes maternal-fetal genetic contribution to pregnancy-related outcomes

2020

Other Outputs

Do maternal intrauterine environmental influences that lower offspring birthweight causally increase offspring cardiometabolic risk factors in later life? A Mendelian randomization study of 45,849 genotyped parent offspring pairs in the HUNT study

Moen, Gunn-Helen, Brumpton, Ben, Willer, Cristen, Åsvold, Bjørn Olav, Birkeland, Kåre, Neale, Michael C, Freathy, Rachel M, Smith, George Davey, Lawlor, Deborah A, Kirkpatrick, Robert M, Warrington, Nicole M and Evans, David M (2020). Do maternal intrauterine environmental influences that lower offspring birthweight causally increase offspring cardiometabolic risk factors in later life? A Mendelian randomization study of 45,849 genotyped parent offspring pairs in the HUNT study. doi: 10.1101/2020.05.04.20091173

Do maternal intrauterine environmental influences that lower offspring birthweight causally increase offspring cardiometabolic risk factors in later life? A Mendelian randomization study of 45,849 genotyped parent offspring pairs in the HUNT study

2018

Other Outputs

Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes

Forgetta, Vincenzo, Keller-Baruch, Julyan, Forest, Marie, Durand, Audrey, Bhatnagar, Sahir, Kemp, John, Morris, John A, Kanis, John A, Kiel, Douglas P., McCloskey, Eugene V, Rivadeneira, Fernando, Johannson, Helena, Harvey, Nicholas, Cooper, Cyrus, Evans, David M, Pineau, Joelle, Leslie, William D, Greenwood, Celia MT and Richards, J Brent (2018). Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes. doi: 10.1101/413716

Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes

2017

Other Outputs

Maternal and fetal genetic contribution to gestational weight gain

Warrington, Nicole M, Richmond, Rebecca, Fenstra, Bjarke, Myhre, Ronny, Gaillard, Romy, Paternoster, Lavinia, Wang, Carol A, Beaumont, Robin N, Das, Shikta, Murcia, Mario, Barton, Sheila J, Espinosa, Ana, Theiring, Elisabeth, Atalay, Mustafa, Pitkänen, Niina, Ntalla, Ioanna, Jonsson, Anna E, Freathy, Rachel, Karhunen, Ville, Tiesler, Carla MT, Allard, Catherine, Crawford, Andrew, Ring, Susan M, Melbye, Mads, Magnus, Per, Rivadeneira, Fernando, Skotte, Line, Hansen, Torben, Marsh, Julie ... consortium, Early Growth Genetics (2017). Maternal and fetal genetic contribution to gestational weight gain. doi: 10.1101/116434

Maternal and fetal genetic contribution to gestational weight gain

2016

Other Outputs

MR-Base: a platform for systematic causal inference across the phenome using billions of genetic associations

Hemani, Gibran, Zheng, Jie, Wade, Kaitlin H, Laurin, Charles, Elsworth, Benjamin, Burgess, Stephen, Bowden, Jack, Langdon, Ryan, Tan, Vanessa, Yarmolinsky, James, Shihab, Hashem A., Timpson, Nicholas, Evans, David M, Relton, Caroline, Martin, Richard M, Smith, George Davey, Gaunt, Tom R, Haycock, Philip C, Soranzo, Nicole, van Heel, David A, Okada, Yukinori, Tang, Clara S., Garcia-Barcelo, Merce, Tam, Paul KH, Jacobsen, Kaya Kvarme, Jones, Gregory T, Bown, Matthew J, Albagha, Omar, Ralston, Stuart H. ... Lee, Jeffrey E (2016). MR-Base: a platform for systematic causal inference across the phenome using billions of genetic associations. doi: 10.1101/078972

MR-Base: a platform for systematic causal inference across the phenome using billions of genetic associations

2015

Other Outputs

Genome-wide association study of offspring birth weight in 86,577 women highlights maternal genetic effects that are independent of fetal genetics

Beaumont, Robin N, Warrington, Nicole M, Cavadino, Alana, Tyrrell, Jessica, Nodzenski, Michael, Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Richmond, Rebecca C., Paternoster, Lavinia, Bradfield, Jonathan P., Kreiner-Møller, Eskil, Huikari, Ville, Metrustry, Sarah, Lunetta, Kathryn L., Painter, Jodie N., Hottenga, Jouke-Jan, Allard, Catherine, Barton, Sheila J., Espinosa, Ana, Marsh, Julie A., Potter, Catherine, Zhang, Ge, Ang, Wei, Berry, Diane J., Bouchard, Luigi, Das, Shikta, Consortium, Early Growth Genetics, Hakonarson, Hakon ... Freathy, Rachel M. (2015). Genome-wide association study of offspring birth weight in 86,577 women highlights maternal genetic effects that are independent of fetal genetics. doi: 10.1101/034207

Genome-wide association study of offspring birth weight in 86,577 women highlights maternal genetic effects that are independent of fetal genetics