Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.

Abstract Evans and colleagues for providing a critique on our article “Deriving GWAS summary estimates for paternal smoking in UK biobank: a GWAS by subtraction”. They highlight important limitations in our approach, which we overlooked. They argue that our approach works neither in theory nor in pr...

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Main Authors: Benjamin Woolf, Dipender Gill, Marcus Munafò, Stephen Burgess
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Research Notes
Online Access:https://doi.org/10.1186/s13104-025-07327-8
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author Benjamin Woolf
Dipender Gill
Marcus Munafò
Stephen Burgess
author_facet Benjamin Woolf
Dipender Gill
Marcus Munafò
Stephen Burgess
author_sort Benjamin Woolf
collection DOAJ
description Abstract Evans and colleagues for providing a critique on our article “Deriving GWAS summary estimates for paternal smoking in UK biobank: a GWAS by subtraction”. They highlight important limitations in our approach, which we overlooked. They argue that our approach works neither in theory nor in practice– that there are both flaws in the method and in our execution of the method. Here we explore these issues and address what we consider to be the most important criticisms.
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spelling doaj-art-3d05102eb41d42e1b741d55a6f0213aa2025-08-20T02:35:39ZengBMCBMC Research Notes1756-05002025-06-011811510.1186/s13104-025-07327-8Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.Benjamin Woolf0Dipender Gill1Marcus Munafò2Stephen Burgess3MRC Integrative Epidemiology Unit, University of BristolDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College LondonMRC Integrative Epidemiology Unit, University of BristolMRC Biostatistics Unit, University of CambridgeAbstract Evans and colleagues for providing a critique on our article “Deriving GWAS summary estimates for paternal smoking in UK biobank: a GWAS by subtraction”. They highlight important limitations in our approach, which we overlooked. They argue that our approach works neither in theory nor in practice– that there are both flaws in the method and in our execution of the method. Here we explore these issues and address what we consider to be the most important criticisms.https://doi.org/10.1186/s13104-025-07327-8
spellingShingle Benjamin Woolf
Dipender Gill
Marcus Munafò
Stephen Burgess
Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.
BMC Research Notes
title Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.
title_full Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.
title_fullStr Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.
title_full_unstemmed Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.
title_short Reassessing the validity of using weighted linear models to implement multi-generational GWAS-by-subtraction: a response to Evans et al.
title_sort reassessing the validity of using weighted linear models to implement multi generational gwas by subtraction a response to evans et al
url https://doi.org/10.1186/s13104-025-07327-8
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AT marcusmunafo reassessingthevalidityofusingweightedlinearmodelstoimplementmultigenerationalgwasbysubtractionaresponsetoevansetal
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