[HTML][HTML] The human connectome project: a retrospective

JS Elam, MF Glasser, MP Harms, SN Sotiropoulos… - NeuroImage, 2021 - Elsevier
Abstract The Human Connectome Project (HCP) was launched in 2010 as an ambitious
effort to accelerate advances in human neuroimaging, particularly for measures of brain …

Clinical use of current polygenic risk scores may exacerbate health disparities

AR Martin, M Kanai, Y Kamatani, Y Okada, BM Neale… - Nature …, 2019 - nature.com
Polygenic risk scores (PRS) are poised to improve biomedical outcomes via precision
medicine. However, the major ethical and scientific challenge surrounding clinical …

[HTML][HTML] Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies

CC Serdar, M Cihan, D Yücel, MA Serdar - Biochemia medica, 2021 - hrcak.srce.hr
Sažetak Calculating the sample size in scientific studies is one of the critical issues as
regards the scientific contribution of the study. The sample size critically affects the …

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes

KJ Karczewski, M Solomonson, KR Chao, JK Goodrich… - Cell Genomics, 2022 - cell.com
Genome-wide association studies have successfully discovered thousands of common
variants associated with human diseases and traits, but the landscape of rare variations in …

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

BK Bulik-Sullivan, PR Loh, HK Finucane, S Ripke… - Nature …, 2015 - nature.com
Both polygenicity (many small genetic effects) and confounding biases, such as cryptic
relatedness and population stratification, can yield an inflated distribution of test statistics in …

Statistical power and significance testing in large-scale genetic studies

PC Sham, SM Purcell - Nature Reviews Genetics, 2014 - nature.com
Significance testing was developed as an objective method for summarizing statistical
evidence for a hypothesis. It has been widely adopted in genetic studies, including genome …

Deep learning for plant genomics and crop improvement

H Wang, E Cimen, N Singh, E Buckler - Current opinion in plant biology, 2020 - Elsevier
Our era has witnessed tremendous advances in plant genomics, characterized by an
explosion of high-throughput techniques to identify multi-dimensional genome-wide …

[PDF][PDF] Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits

S Purcell, SS Cherny, PC Sham - Bioinformatics, 2003 - Citeseer
BIOINFORMATICS APPLICATIONS NOTE Vol. 19 no. 1 2003 Page 1 BIOINFORMATICS
APPLICATIONS NOTE Vol. 19 no. 1 2003 Pages 149–150 Genetic Power Calculator: design of …

Statistical power to detect genetic (co) variance of complex traits using SNP data in unrelated samples

PM Visscher, G Hemani, AAE Vinkhuyzen… - PLoS …, 2014 - journals.plos.org
We have recently developed analysis methods (GREML) to estimate the genetic variance of
a complex trait/disease and the genetic correlation between two complex traits/diseases …

Genome-wide association studies: theoretical and practical concerns

WYS Wang, BJ Barratt, DG Clayton… - Nature Reviews Genetics, 2005 - nature.com
To fully understand the allelic variation that underlies common diseases, complete genome
sequencing for many individuals with and without disease is required. This is still not …