{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ross JP"],"funding":["National Heart Foundation of Australia","Science and Industry Endowment Fund","Diabetes Australia"],"pagination":["58"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9055778"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["<h4>Background</h4>Genomic technologies can be subject to significant batch-effects which are known to reduce experimental power and to potentially create false positive results. The Illumina Infinium Methylation BeadChip is a popular technology choice for epigenome-wide association studies (EWAS), but presently, little is known about the nature of batch-effects on these designs. Given the subtlety of biological phenotypes in many EWAS, control for batch-effects should be a consideration.<h4>Results</h4>Using the batch-effect removal approaches in the ComBat and Harman software, we examined two in-house datasets and compared results with three large publicly available datasets, (1214 HumanMethylation450 and 1094 MethylationEPIC BeadChips in total), and find that despite various forms of pr"],"journal":["Clinical epigenetics"],"pubmed_title":["Batch-effect detection, correction and characterisation in Illumina HumanMethylation450 and MethylationEPIC BeadChip array data."],"pmcid":["PMC9055778"],"funding_grant_id":["Future Leader Fellowship","RP03-064"],"pubmed_authors":["van Dijk S","Molloy PL","Oytam Y","Skilton MR","Ross JP","Phang M"],"additional_accession":[]},"is_claimable":false,"name":"Batch-effect detection, correction and characterisation in Illumina HumanMethylation450 and MethylationEPIC BeadChip array data.","description":"<h4>Background</h4>Genomic technologies can be subject to significant batch-effects which are known to reduce experimental power and to potentially create false positive results. The Illumina Infinium Methylation BeadChip is a popular technology choice for epigenome-wide association studies (EWAS), but presently, little is known about the nature of batch-effects on these designs. Given the subtlety of biological phenotypes in many EWAS, control for batch-effects should be a consideration.<h4>Results</h4>Using the batch-effect removal approaches in the ComBat and Harman software, we examined two in-house datasets and compared results with three large publicly available datasets, (1214 HumanMethylation450 and 1094 MethylationEPIC BeadChips in total), and find that despite various forms of pr","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2026-05-31T01:08:36.397Z","creation":"2025-04-03T22:51:13.196Z"},"accession":"S-EPMC9055778","cross_references":{"pubmed":["35488315"],"doi":["10.1186/s13148-022-01277-9"]}}