Results 31 to 40 of about 22,489,720 (176)

Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank Data

Frontiers in Genetics, 2021
With the advances in genotyping technologies and electronic health records (EHRs), large biobanks have been great resources to identify novel genetic associations and gene-environment interactions on a genome-wide and even a phenome-wide scale.
Wenjian Bi, Wenjian Bi, Wenjian Bi, Seunggeun Lee   +3 more
doaj   +1 more source

Phenome-wide associations with genetically predicted height in non-Hispanic White individuals.

, 2022
Plot of phecodes versus -log10(p-value) for association with genetically-predicted height in non-Hispanic White participants in MVP. Phecodes were limited to single decimal place for clarity (e.g., 427.2 for atrial fibrillation or flutter is shown but ...
Kyong-Mi Chang (267170), Hongyu Zhao (4728), Eirini Marouli (4585735), Kari E. North (6733304), Themistocles L. Assimes (7658045), Kelly Cho (289664), J. Michael Gaziano (12032696), Saiju Pyarajan (66900), Chang Liu (35901), Leslie A. Lange (8661951), Christopher J. O’Donnell (110479), Jie Huang (104235), Elizabeth Litkowski (10821435), Philip S. Tsao (8636055), Catherine Tcheandjieu (8379342), Jennifer E. Huffman (7665404), Benjamin F. Voight (8543690), Elizabeth R. Hauser (10713513), Sridharan Raghavan (83847), Yuk-Lam A. Ho (12732738), Haley Hunter-Zinck (711979), Ethan Lange (3457229), Yan V. Sun (7437632), Peter W. F. Wilson (8636052)   +23 more
core   +1 more source

The causes and consequences of Alzheimer’s disease: phenome-wide evidence from Mendelian randomization

Nature Communications, 2022
Observational studies have found overlap between Alzheimer’s disease and other diseases and phenotypes, although the causal relationships are unclear. Here, the authors perform an age-stratified phenome-wide association study of Alzheimer’s disease (AD ...
Roxanna Korologou-Linden, Laxmi Bhatta, Ben M. Brumpton, Laura D. Howe, Louise A. C. Millard, Katarina Kolaric, Yoav Ben-Shlomo, Dylan M. Williams, George Davey Smith, Emma L. Anderson, Evie Stergiakouli, Neil M. Davies   +11 more
doaj   +1 more source

Phenome-wide associations with genetically predicted height in non-Hispanic Black individuals.

, 2022
Plot of phecodes versus -log10(p-value) for association with genetically-predicted height in non-Hispanic Black participants in MVP. Phecodes were limited to single decimal place for clarity (e.g., 427.2 for atrial fibrillation or flutter is shown but ...
Kyong-Mi Chang (267170), Hongyu Zhao (4728), Eirini Marouli (4585735), Kari E. North (6733304), Themistocles L. Assimes (7658045), Kelly Cho (289664), J. Michael Gaziano (12032696), Saiju Pyarajan (66900), Chang Liu (35901), Leslie A. Lange (8661951), Christopher J. O’Donnell (110479), Jie Huang (104235), Elizabeth Litkowski (10821435), Philip S. Tsao (8636055), Catherine Tcheandjieu (8379342), Jennifer E. Huffman (7665404), Benjamin F. Voight (8543690), Elizabeth R. Hauser (10713513), Sridharan Raghavan (83847), Yuk-Lam A. Ho (12732738), Haley Hunter-Zinck (711979), Ethan Lange (3457229), Yan V. Sun (7437632), Peter W. F. Wilson (8636052)   +23 more
core   +1 more source

Joint mouse-human phenome-wide association to test gene function and disease risk [PDF]

, 2016
© 2016, Nature Publishing Group. All rights reserved.Phenome-wide association is a novel reverse genetic strategy to analyze genome-to-phenome relations in human clinical cohorts. Here we test this approach using a large murine population segregating for
Wang, X, Pandey, AK, Mulligan, MK, Quarles, LD, Li, Z, Jovaisaite, V, Huang, J, Mozhui, K, Pollard, Katherine, Xiao, Z, Williams, EG   +10 more
core   +4 more sources

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

Nature Communications, 2020
Depression is correlated with many brain-related traits. Here, Shen et al. perform phenome-wide association studies of a depression polygenic risk score (PRS) and find associations with 51 behavioural and 26 neuroimaging traits which are further followed
Xueyi Shen, David M. Howard, Mark J. Adams, W. David Hill, Toni-Kim Clarke, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ian J. Deary, Heather C. Whalley, Andrew M. McIntosh   +8 more
doaj   +1 more source

Genome-Wide Identification of Rare and Common Variants Driving Triglyceride Levels in a Nevada Population

Frontiers in Genetics, 2021
Clinical conditions correlated with elevated triglyceride levels are well-known: coronary heart disease, hypertension, and diabetes. Underlying genetic and phenotypic mechanisms are not fully understood, partially due to lack of coordinated genotypic ...
Robert W. Read, Karen A. Schlauch, Vincent C. Lombardi, Elizabeth T. Cirulli, Nicole L. Washington, James T. Lu, Joseph J. Grzymski, Joseph J. Grzymski   +7 more
doaj   +1 more source

Phenome-wide association studies as a research tool for identifying new pathogenetic links

Кардиоваскулярная терапия и профилактика
The accumulation of biospecimens associated with large-scale clinical data (data from electronic medical records, epidemiological and other large-scale studies) has made it possible to conduct studies aimed at studying associations between genetic ...
N. A. Mashkina, A. I. Ershova, O. V. Kopylova, O. M. Drapkina   +3 more
doaj   +1 more source

Revealing polygenic pleiotropy using genetic risk scores for asthma

HGG Advances, 2023
Summary: In this study we examined how genetic risk for asthma associates with different features of the disease and with other medical conditions and traits.
Matthew Dapas, Yu Lin Lee, William Wentworth-Sheilds, Hae Kyung Im, Carole Ober, Nathan Schoettler   +5 more
doaj   +1 more source

Phenome-wide analysis of genome-wide polygenic scores [PDF]

, 2015
Genome-wide polygenic scores (GPS), which aggregate the effects of thousands of DNA variants from genome-wide association studies (GWAS), have the potential to make genetic predictions for individuals.
Dale, P. S., Krapohl, E., Zabaneh, D, O'Reilly, P F, G Breen, Dale, P S, S von Stumm, Dale, Philip, K Rimfeld, Rimfeld, K., O'Reilly, P. F., Breen, G, Euesden, J, J Euesden, P F O'Reilly, Euesden, J., Pingault, J. B., Plomin, R., Breen, G., Rimfeld, K, Zabaneh, Magda Delilah; id_orcid, Krapohl, E, Von Stumm, Sophie, J-B Pingault, O'Reilly, Paul Francis, Pingault, Jean-Baptiste, Plomin, R, D Zabaneh, Euesden, Jack, Breen, Gerome Daniel; id_orcid, Pingault, J.-B., P S Dale, Krapohl, Eva Maria Laura, Plomin, Robert Joseph, Pingault, J-B, Von Stumm, S., Rimfeld, Kaili, E Krapohl, R Plomin, Zabaneh, D.   +39 more
core   +1 more source