Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]

Background Null mutations within the filaggrin (FLG) gene are established genetic risk factors for atopic dermatitis. Studies of FLG have typically used sequencing or bespoke genotyping. Large-scale population cohorts with genome-wide imputed data offer powerful genetic analysis opportunities, but b...

Full description

Bibliographic Details
Published in:Wellcome Open Research
Main Authors: Lavinia Paternoster, Sara J. Brown, Ashley Budu-Aggrey
Format: Article
Language:English
Published: Wellcome 2024-05-01
Subjects:
Online Access:https://wellcomeopenresearch.org/articles/7-36/v2
_version_ 1849996516607918080
author Lavinia Paternoster
Sara J. Brown
Ashley Budu-Aggrey
author_facet Lavinia Paternoster
Sara J. Brown
Ashley Budu-Aggrey
author_sort Lavinia Paternoster
collection DOAJ
container_title Wellcome Open Research
description Background Null mutations within the filaggrin (FLG) gene are established genetic risk factors for atopic dermatitis. Studies of FLG have typically used sequencing or bespoke genotyping. Large-scale population cohorts with genome-wide imputed data offer powerful genetic analysis opportunities, but bespoke FLG genotyping is often not feasible in such studies. Therefore, we aimed to determine the quality of selected FLG null genotype data extracted from genome-wide imputed sources, focussing on UK population data. Methods We compared the allele frequencies of three FLG null mutations that could be detected by imputation (p.Arg501Ter, p.Arg2447Ter and p.Ser3247Ter; commonly referred to as R501X, R2447X and S3247X respectively) in directly genotyped and genome-wide imputed data in the ALSPAC cohort. Logistic regression analysis was used to test the association of atopic dermatitis with imputed and genotyped FLG null mutations in ALSPAC and UK Biobank to investigate the usefulness of imputed FLG data. Results The three FLG null mutations appear to be well imputed in datasets that use the Haplotype Reference Consortium (HRC) for imputation (0.3% discordance compared with directly genotyped data). However, a greater proportion of null alleles failed imputation compared to wild-type alleles. Despite the calling of FLG mutations in imputed data being imperfect, they are still strongly associated with atopic dermatitis (p-values between 7x10-10 and 5x10-75 in UK Biobank). Conclusions HRC imputed data appears to be adequate for UK population-based genetic analysis of selected FLG null mutations (p.Arg501Ter, p.Arg2447Ter and p.Ser3247Ter).
format Article
id doaj-art-2deeacc7f73a4cffa4ed9bf0cdb51aa2
institution Directory of Open Access Journals
issn 2398-502X
language English
publishDate 2024-05-01
publisher Wellcome
record_format Article
spelling doaj-art-2deeacc7f73a4cffa4ed9bf0cdb51aa22025-08-20T00:50:39ZengWellcomeWellcome Open Research2398-502X2024-05-01710.12688/wellcomeopenres.17657.223964Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]Lavinia Paternoster0https://orcid.org/0000-0003-2514-0889Sara J. Brown1https://orcid.org/0000-0002-3232-5251Ashley Budu-Aggrey2https://orcid.org/0000-0002-8911-24921. MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Sciences, The University of Bristol, Bristol, BS8 2BN, UK2. Centre for Genomics and Experimental Medicine, Institute for Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK1. MRC Integrative Epidemiology Unit, Bristol Medical School, Population Health Sciences, The University of Bristol, Bristol, BS8 2BN, UKBackground Null mutations within the filaggrin (FLG) gene are established genetic risk factors for atopic dermatitis. Studies of FLG have typically used sequencing or bespoke genotyping. Large-scale population cohorts with genome-wide imputed data offer powerful genetic analysis opportunities, but bespoke FLG genotyping is often not feasible in such studies. Therefore, we aimed to determine the quality of selected FLG null genotype data extracted from genome-wide imputed sources, focussing on UK population data. Methods We compared the allele frequencies of three FLG null mutations that could be detected by imputation (p.Arg501Ter, p.Arg2447Ter and p.Ser3247Ter; commonly referred to as R501X, R2447X and S3247X respectively) in directly genotyped and genome-wide imputed data in the ALSPAC cohort. Logistic regression analysis was used to test the association of atopic dermatitis with imputed and genotyped FLG null mutations in ALSPAC and UK Biobank to investigate the usefulness of imputed FLG data. Results The three FLG null mutations appear to be well imputed in datasets that use the Haplotype Reference Consortium (HRC) for imputation (0.3% discordance compared with directly genotyped data). However, a greater proportion of null alleles failed imputation compared to wild-type alleles. Despite the calling of FLG mutations in imputed data being imperfect, they are still strongly associated with atopic dermatitis (p-values between 7x10-10 and 5x10-75 in UK Biobank). Conclusions HRC imputed data appears to be adequate for UK population-based genetic analysis of selected FLG null mutations (p.Arg501Ter, p.Arg2447Ter and p.Ser3247Ter).https://wellcomeopenresearch.org/articles/7-36/v2Filaggrin genotyping ALSPAC UK Biobankeng
spellingShingle Lavinia Paternoster
Sara J. Brown
Ashley Budu-Aggrey
Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]
Filaggrin
genotyping
ALSPAC
UK Biobank
eng
title Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]
title_full Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]
title_fullStr Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]
title_full_unstemmed Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]
title_short Imputation provides an opportunity to study filaggrin (FLG) null mutations in large population cohorts that lack bespoke genotyping [version 2; peer review: 2 approved]
title_sort imputation provides an opportunity to study filaggrin flg null mutations in large population cohorts that lack bespoke genotyping version 2 peer review 2 approved
topic Filaggrin
genotyping
ALSPAC
UK Biobank
eng
url https://wellcomeopenresearch.org/articles/7-36/v2
work_keys_str_mv AT laviniapaternoster imputationprovidesanopportunitytostudyfilaggrinflgnullmutationsinlargepopulationcohortsthatlackbespokegenotypingversion2peerreview2approved
AT sarajbrown imputationprovidesanopportunitytostudyfilaggrinflgnullmutationsinlargepopulationcohortsthatlackbespokegenotypingversion2peerreview2approved
AT ashleybuduaggrey imputationprovidesanopportunitytostudyfilaggrinflgnullmutationsinlargepopulationcohortsthatlackbespokegenotypingversion2peerreview2approved