Results 151 to 160 of about 6,310 (247)

Role of Vegetation for the Protection of Phewa Watershed, Kaski, Nepal [PDF]

Environment and Ecology Research, 2022
Bimal Bahadur Kunwar, Basanta Raj Adhikari, Nantakan Muensit, Kuaanan Techato, Saroj Gyawali   +4 more
openaire   +1 more source

Three steps terminology construction, from PheWAS codes based on ICD-9-CM to PheWAS codes based on ICD-10 using ICD-9-CM-A to ICD-10-AM mapping file and manual mapping.

, 2013
PheWAS: Phenome-wide association study; ICD: International classification of diseases; ICD-9-CM: International classification of diseases clinically modified; ICD-9-CM-A: Australian version of the ICD-9-CM, with custom codes added.
Georgia Malamut (501960), Patrice Degoulet (501963), Marie-Anne Loriot (10849), Denis Roche (501962), Paul Avillach (173608), Laurent Chouchana (501959), Christine Le Beller (501961), Antoine Neuraz (501958), Philippe Beaune (10848), Anita Burgun (65313)   +9 more
core   +1 more source

Multiancestry transferability of a polygenic risk score for diverticulitis

BMJ Open Gastroenterology
Objective Polygenic risk scores (PRS) for diverticular disease must be evaluated in diverse cohorts. We sought to explore shared genetic predisposition across the phenome and to assess risk stratification in individuals genetically similar to European ...
Richard Peek, Eric R Gamazon, Jamie Robinson, Jonathan D Mosley, Thomas E Ueland, Christopher Neylan, John P Shelley, Lillias Maguire, Alexander T Hawkins   +8 more
doaj   +1 more source

Identification of Novel Genes Associated with Atrial Fibrillation and Development of Atrial Fibrillation Predictive Models by Incorporating Polygenic Risk Scores and PheWAS-Derived Risk Factors

medRxiv, 2023
S.-Y. Chen, Y.-C. Chen, T.-Y. Liu, K. Chang, S.-S. Chang, N. Wu, D.-L. Wu, R. K. Dunlap, C. Chan, F.-J. Tsai   +9 more
semanticscholar   +1 more source

Population Architecture using Genomics and Epidemiology (PAGE) I studies available for PheWAS and their characteristics.

, 2019
The Atherosclerosis Risk in Communities (ARIC), Multiethnic Cohort (MEC), and Women’s Health Initiative (WHI) from the PAGE I study contributed data towards this PheWAS. A full list of phenotypes used in this PheWAS is available in S1 Table.
Charles Kooperberg (18693), Petra Buzkova (102174), Kari E. North (6733304), Yuki Bradford (496693), Christopher Haiman (120857), Larry Moreland (70028), Janina M. Jeff (6830045), Loic Le Marchand (7730144), Tara C. Matise (6733283), Lucia A. Hindorff (8207361), Steven Buyske (10694), Robert Wallace (278289), Scott Dudek (278284), Lynne R. Wilkens (141315), Rebecca D. Jackson (7802564), Christy L. Avery (8207355), Megan D. Fesinmeyer (8207358), Chun-Nan Hsu (19420), Marylyn D. Ritchie (8144406), Kristine R. Monroe (8207364), Yi Lin (49406), Sarah A. Pendergrass (6830048), Ewa Deelman (185930), Alex Reiner (278288), Dana C. Crawford (6688184), Jose-Luis Ambite (8207352), Gerardo Heiss (24069), Sungshim L. Park (8207367), Alex Frase (278285)   +28 more
core   +1 more source

Novel insights into the pleiotropic health effects of growth differentiation factor 11 gained from genome-wide association studies in population biobanks

BMC Genomics
Background Growth differentiation factor 11 (GDF11) is a member of the transforming growth factor-β (TGF-β) superfamily that has gained considerable attention over the last decade for its observed ability to reverse age-related deterioration of multiple ...
Jessica Strosahl, Kaixiong Ye, Robert Pazdro   +2 more
doaj   +1 more source

QQ plot of 22,922 MR-pheWAS results.

, 2019
Green dashed line: Bonferroni corrected threshold (p = (0.05/22922 = 2.18x10-6). Red dash-dotted line: FDR threshold (p = 0.05 × 587/22922 = 1.28x10−3). Blue dotted line: actual = expected. Purple points: results of tests performed in MR-pheWAS.
Neil M. Davies (2504695), Louise A. C. Millard (6288416), Tom R. Gaunt (95274), George Davey Smith (82619), Kate Tilling (213507)   +4 more
core   +1 more source

Identifying the high-risk slope locations in Phewa Lake Catchment

OODBODHAN
Landslides in Phewa Lake Catchment, triggered by slope failure, poses risks to life, infrastructure, and degradation of soil quality while contributing to shrinkage of Phewa Lake. This study identifies potentially unstable slope within the catchment using landslide susceptibility mapping and then assesses slope stability of a selected unstable slope. A
Suyogya Pun, Abhay Kumar Mandal, Samrat Poudel   +2 more
openaire   +1 more source

Cross-ancestry genome-wide association studies of liver function biomarkers uncover pleiotropic variants, systemic disease links and therapeutic targets

Genome Medicine
Background Liver function-related quantitative biomarkers (LFQBs) are essential for assessing hepatic health, yet prior genome-wide association studies (GWAS) have largely studied them in isolation. We conducted cross-ancestry GWAS meta-analyses on seven
Wentao Yao, Jingyi Fan, Jing Lu, Haiyan Guo, Chengxiao Yu, Xuehui Wang, Yun Wang, Yu Zhang, Qingning Duan, Lihua Cheng, Chen Zhou, Zhaohui Wang, Juncheng Dai, Hongxia Ma, Qun Zhang, Ci Song, Hongbing Shen   +16 more
doaj   +1 more source

Phenome‐wide association study of ovarian cancer identifies common comorbidities and reveals shared genetics with complex diseases and biomarkers

Cancer Medicine
Background Ovarian cancer (OC) is commonly diagnosed among older women who have comorbidities. This hypothesis‐free phenome‐wide association study (PheWAS) aimed to identify comorbidities associated with OC, as well as traits that share a genetic ...
Anwar Mulugeta, Amanda L. Lumsden, Iqbal Madakkatel, David Stacey, S. Hong Lee, Johanna Mäenpää, Martin K. Oehler, Elina Hyppönen   +7 more
doaj   +1 more source