№ lp_2_3_11238
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This document presents the results of a study on quality control, imputation, and polygenic risk score calculations using data from the ABCD Genotype Release 5.1.
Year: 2023
Region / City: United States
Topic: Genomics, Genetics
Document Type: Research Paper
Organization / Institution: Rutgers University, NIH
Author: Matteo Di Vincenzo, Thanavadee Prachason, Gaia Sampogna, Angelo Arias-Magnasco, Bochao Danae Lin, Lotta-Katrin Pries, Jim van Os, Bart P.F. Rutten, Ran Barzilay, Andrea Fiorillo, Sinan Guloksuz
Target Audience: Researchers, Geneticists, Biologists
Period of Activity: 2023
Date of Approval: N/A
Date of Changes: N/A
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Supporting Information File S4: Imputation Methods
Title: Characterization of missingness in untargeted MS-based metabolomics data sets and evaluation of missing data handling strategies
Authors: Kieu Trinh Do; Simone Wahl; Johannes Raffler; Sophie Molnos; Michael Laimighofer; Jerzy Adamski; Karsten Suhre; Konstantin Strauch; Annette Peters; Christian Gieger; Claudia Langenberg; Isobel D. Stewart; Fabian J. Theis; Harald Grallert; Gabi Kastenmüller; Jan Krumsiek
Type of document: Supplementary information file
Subject: Missing data handling strategies in untargeted MS-based metabolomics
Methods described: Richardson & Ciampi (RC); Imputation by truncated sampling (ITS); Multiple imputation by truncated sampling (MITS); Imputation by chained equations (ICE-norm, ICE-pmm, ICE-adjR); K-nearest neighbor imputation (KNN-var, KNN-obs, KNN-obs-sel)
Software: R
R packages: tmvtnorm (version 1.4-9); mice (version 2.25); miceadds (version 1.5-0)
Data set: KORA
Covariates: Age; Sex; BMI
Statistical framework: Maximum likelihood estimation; Bayesian linear regression; Gibbs sampling; Multiple imputation according to Rubin
Machine Learning with Statistical Imputation for Predicting Drug Approvals: Supplementary Materials
Year: 2023
Region / City: N/A
Topic: Machine Learning, Drug Approvals, Statistical Imputation
Document Type: Research Paper
Organization / Institution: N/A
Author: Andrew W. Lo, Kien Wei Siah, Chi Heem Wong
Target Audience: Researchers, Medical and Pharmaceutical Experts
Period of Validity: N/A
Approval Date: N/A
Modification Date: N/A
Annex A: Demographic Data Imputation Methodology
Year: 2023
Region / city: Global
Subject: Climate Change, Demographic Data, Imputation Methodology
Document type: Research methodology
Author: World Bank
Target audience: Researchers, Economists, Data Analysts
Period of validity: 1980-2023
Approval date: N/A
Date of changes: N/A
Safe Work Method Statement (SWMS) for High-Risk Construction Work – ABCD Industries, February 2023
Year: 2023
Organization: ABCD Industries
Principal Contractor: Ausmar
Location: Far-out QLD, Australia
Document Type: Safe Work Method Statement (SWMS)
Work Activity: High-risk construction tasks including work at heights, near water, trenches, and energized electrical installations
Author / Responsible Officer: Fred Bloggs, Works Manager
Person Responsible for Compliance: Joe Bloggs, Leading Hand
Date Provided to Principal Contractor: 3 February 2023
Workplace Health & Safety Measures: Induction training, toolbox meetings, ongoing supervision, SWMS review and sign-off
High-Risk Tasks: Falls from height, trench collapse, electrocution, drowning, structural collapse, silica dust exposure, mobile plant movement
Control Measures: Scaffolding and temporary support, exclusion zones, personal protective equipment, traffic management, daily inspections, certified procedures
Consultation & Induction: Workers trained, briefed on SWMS, signed acknowledgment
Review Date: Ongoing as per work progress and SWMS revisions
Source Type: Safety and regulatory compliance document
High-Risk Construction Work Location: XXX, What Street, Suburb QLD 4510
Predictive Power of Polygenic Risk Scores for Intraocular Pressure or Vertical Cup to Disc Ratio
Year: 2023
Region / city: Australia
Field: Ophthalmology, Genetics
Document type: Research Article
Institution: QIMR Berghofer Medical Research Institute, University of Queensland, The University of Western Australia, Massachusetts Institute of Technology, Queensland University of Technology, University of Tasmania, University of Melbourne
Author: Weixiong He, Samantha Sze-Yee Lee, Santiago Diaz Torres, Xikun Han, Puya Gharahkhani, Michael Hunter, Chandrakumar Balartnasingam, Jamie Craig, Alex W Hewitt, David A Mackey, Stuart MacGregor
Target Audience: Researchers, Healthcare professionals
Period: 2023
Date approved: N/A
Date of changes: N/A
Effects of Physical Activity on the Incidence of Stroke with Polygenic Risk Score
Year: Not specified
Country / Region: Republic of Korea
Academic field: Epidemiology; Genetics; Sports science; Neurology
Topic: Relationship between physical activity and stroke incidence considering genetic risk
Document type: Scientific research article
Data source: Korean Genome and Epidemiology Study
Methodology: Genome-wide association study (GWAS) and polygenic risk score (PRS) analysis
Key variables: Physical activity, stroke incidence, single nucleotide polymorphisms (SNPs), polygenic risk score
Institutions: Seoul National University; CHA University; Hallym University; Waseda University
Corresponding author: Hyo Youl Moon
First author: Yun Seo Cho
Authors: Yun Seo Cho; Tae Yeon Kim; Kihoon Yuk; Ji Eun Lee; Joo Hee Park; Yeon Soo Kim; Min-Chul Lee; Jin Pyeong Jeon; In cheol Jeong; Kumpei Tanisawa; Hyo Youl Moon
Population studied: Participants of the Korean Genome and Epidemiology Study
Research focus: Differences in stroke incidence according to levels of physical activity and genetic predisposition
Keywords: Stroke; Genome Wide Association Study; Single Nucleotide Polymorphism; Polygenic Risk Score; Physical activity
Unraveling the relationship of loneliness and isolation in schizophrenia: Polygenic dissection and causal inference
Note: Year
Contextual description: A scientific paper presenting supplementary methods related to polygenic analysis and causal inference in the relationship between loneliness, isolation, and schizophrenia.
Topics: Imputation ABCD Polygenic