Results 31 to 40 of about 98,679 (202)

Phenome-Wide Association Study of Actigraphy in the UK Biobank [PDF]

, 2021
Abstract Wrist-worn accelerometer actigraphy devices present the opportunity for large-scale data collection from people during their daily lives. Using data from approximately 100,000 participants in the UK Biobank, actigraphy-derived measures of physical activity, sleep, and diurnal rhythms were associated in exploration and ...
Thomas G. Brooks, Nicholas F. Lahens, Gregory R. Grant, Yvette I. Sheline, Garret A. FitzGerald, Carsten Skarke   +5 more
openaire   +1 more source

A multi-population phenome-wide association study of genetically-predicted height in the Million Veteran Program [PDF]

, 2022
Background Height has been associated with many clinical traits but whether such associations are causal versus secondary to confounding remains unclear in many cases.
Raghavan, S., Lange, E., Tsao, P.S., Hunter-Zinck, H., Marouli, E., Sun, Y.V., Huffman, J.E., Pyarajan, S., Voight, B.F., Tcheandjieu, C., Cho, K., North, K.E., Lange, L.A., Assimes, T.L., Gaziano, J.M., Wilson, P.W.F., Ho, Y.-L.A., O'Donnell, C.J., Liu, C., Chang, K.-M., Zhao, H., Huang, J., Litkowski, E., Hauser, E.R.   +23 more
core   +2 more sources

Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View

BioData Mining, 2012
Background Phenome-Wide Association Studies (PheWAS) can be used to investigate the association between single nucleotide polymorphisms (SNPs) and a wide spectrum of phenotypes.
Pendergrass Sarah A, Dudek Scott M, Crawford Dana C, Ritchie Marylyn D   +3 more
doaj   +1 more source

Profiling phenome-wide associations: a population-based observational study [PDF]

Journal of the American Medical Informatics Association, 2015
Abstract Objectives To objectively characterize phenome-wide associations observed in the entire Taiwanese population and represent them in a meaningful, interpretable way. Study Design In this population-based observational study, we analyzed 782 million outpatient visits and 15 394 unique phenotypes that were observed in
Syed Abdul Shabbir, Max Moldovan, Phung Anh Nguyen, Ruslan Enikeev, Wen-Shan Jian, Usman Iqbal, Min-Huei Hsu, Yu-Chuan Li   +7 more
openaire   +2 more sources

Biobanking across the phenome - at the center of chronic disease research [PDF]

, 2013
Recognized public health relevant risk factors such as obesity, physical inactivity, smoking or air pollution are common to many non-communicable diseases (NCDs). NCDs cluster and co-morbidities increase in parallel to age.
Nicole M Probst-Hensch, Imboden, Medea, Medea Imboden, Probst-Hensch, Nicole M.   +3 more
core   +1 more source

HCLC-FC: a novel statistical method for phenome-wide association studies

PLOS ONE, 2022
Abstract The emergence of genetic data coupled to longitudinal electronic medical records (EMRs) offers the possibility of phenome-wide association studies (PheWAS). In PheWAS, the whole phenome can be divided into numerous phenotypic categories according to the genetic architecture across phenotypes.
Xiaoyu Liang, Xuewei Cao, Qiuying Sha, Shuanglin Zhang   +3 more
openaire   +3 more sources

Allergy-specific Phenome-Wide Association Study for Immunogenes in Turkish Children [PDF]

Scientific Reports, 2016
AbstractTo dissect the role of immunogenetics in allergy and asthma, we performed a phenome-wide association study in 974 Turkish children selected from a cross-sectional study conducted using ISAAC (International Study of Asthma and Allergies in Children) Phase II tools.
Karaca, Sefayet, Civelek, Ersoy, Karaca, Mehmet, Sahiner, Umit M., Ozgul, Riza K., Kocabas, Can N., Polimanti, Renato, Sekerel, Bulent E.   +7 more
openaire   +5 more sources

Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned [PDF]

, 2010
Major depressive disorder (MDD) is a common complex disorder with a partly genetic etiology. We conducted a genome-wide association study of the MDD2000+ sample (2431 cases, 3673 screened controls and >1 M imputed single-nucleotide polymorphisms (SNPs)).
D I Boomsma, Maclean, A. W., Sullivan, P.F., Sullivan, P F, G Willemsen, de Geus, E.J.C., D J Statham, Willemsen, G.; id_orcid, Gordon, SD, Penninx, BWJH, Smit, J H, Medland, S E, Maclean, A.W., S E Medland, Penninx, B. W. J. H., van den Oord, E J C G, Montgomery, G W, Pergadia, M L, Byrne, E.M., Heath, A.C., Martin, N.G., MacIntyre, Donald; id_orcid, Hickie, I.B., Statham, D.J., C M Middeldorp, E M Byrne, B W J H Penninx, Nyholt, D.R., J J Hottenga, J H Smit, A K Henders, Blackwood, D.H., Liu, J. Z., N G Martin, A W Maclean, Lewis, C.M., Montgomery, G. W., McGuffin, P, S D Gordon, McEvoy, B.P., MacIntyre, D J, McGhee, K A, P A F Madden, MacIntyre, D J; id_orcid, Pergadia, M. L., van den Oord, E.J., McEvoy, B P, Gordon, S.D., Martin, N. G., D H R Blackwood, P F Sullivan, De Geus, E. J. C., Montgomery, G.W., Hottenga, J.J., Hickie, I. B., McGhee, K.A., Medland, S. E., C M Lewis, J Z Liu, Gordon, S D, Smit, J. H., Boomsma, D. I., Hottenga, J. J., Smit, J.H., Middeldorp, C.M., Ripke, S., M L Pergadia, Hickie, I B, de Geus, E.J., Wray, NR, Van Den Oord, E. J. C. G., Wray, N. R., Blackwood, DHR, de Geus, E J C, Penninx, B.W., B P McEvoy, McGhee, K. A., Middeldorp, C. M., Byrne, E. M., McEvoy, B. P., Macgregor, S, E J C G van den Oord, Statham, D J, Heath, A C, Lewis, C. M., van den Oord, E.J.C.G., I B Hickie, Willemsen, G., Pergadia, M.L., Medland, S.E., Sullivan, P. F., Penninx, B.W.J.H., Heath, A. C., Maclean, AW, Nyholt, D. R., N R Wray, S Macgregor, MacIntyre, DJ, Boomsma, D.I., G W Montgomery, Lewis, C M, Henders, A K, Madden, P. A. F., Madden, P.A.F., Henders, A.K., Hottenga, J J, McGuffin, P., Boomsma, D I, Madden, P.A., de Geus, E.J.C.; id_orcid, Oord, E.J.C.G. van den, Henders, A. K., Wray, N R, Madden, P A F, E J C de Geus, Pergadia, ML, D R Nyholt, Maclean, A W, Ripke, S, A C Heath, Ripke, Stephan, MacIntyre, D. J., Geus, E.J.C. de, Blackwood, D. H. R., Statham, D. J., Penninx, B W J H, Macgregor, S., Gordon, S. D., McGhee, KA, D J MacIntyre, Nyholt, D R, Wray, N.R., Middeldorp, C M, Liu, J Z, S Ripke, K A McGhee, P McGuffin, Nyholt, DR, Willemsen, G, Boomsma, D.I.; id_orcid, Lewis, C. M.; id_orcid, Martin, N G, Blackwood, D H R, Liu, J.Z., Byrne, E M, MacIntyre, D.J.   +145 more
core   +1 more source

Genome-wide association study of receptive language ability of 12 year olds [PDF]

, 2013
Purpose: We have previously shown that individual differences in measures of receptive language ability at age 12 are highly heritable. The current study attempted to identify some of the genes responsible for the heritability of receptive language ...
Hanscombe, K.B., Meaburn, Emma L, Dale, Philip S, Plomin, Robert, Hayiou-Thomas, Marianna E, Jankowski, Janusz, Haworth, Claire M.A., Trzaskowski, M., Haworth, C., Haworth, Claire M. A., Hayiou-Thomas, Marianna E., Wellcome Trust Case Control Consortium (including Jankowski J), Harlaar, N., Haworth, Claire M A, Dale, Philip S., Dale, P., Harlaar, Nicole, Price, T.S, Price, Thomas S, Docherty, Sophia, Hayiou-Thomas, M.E., Davis, Oliver S. P., Plomin, R., Meaburn, Emma L., Price, Tom S., HASH(0x55a67fe4f3e8), Hanscombe, Ken B., ?, ?, Davis, O.S.P., Docherty, S.J., Price, Thomas S., Trzaskowski, Maciej, Davis, Oliver S P   +32 more
core   +1 more source

Abdominal CT metrics in 17,646 patients reveal associations between myopenia, myosteatosis, and medical phenotypes: a phenome-wide association study [PDF]

EBioMedicine
Daniel Rubin, Leon Lenchik, Robert D Boutin   +2 more
exaly   +2 more sources