This article is a correction to:
Genetic heritability as a tool to evaluate the precision of 24-hour recall dietary questionnaire variables in UK Biobank
Joanne B. Cole1,2,3,4,5*
Kenneth E. Westerman1,3,6
Alisa K. Manning1,3,6
Jose C. Florez1,2,3Joel N. Hirschhorn1,4,7- 1Programs in Metabolism and Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, United States
- 2Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- 3Department of Medicine, Harvard Medical School, Boston, MA, United States
- 4Division of Endocrinology, Boston Children’s Hospital, Boston, MA, United States
- 5Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, United States
- 6Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, United States
- 7Department of Genetics, Harvard Medical School, Boston, MA, United States
A Corrigendum on
Genetic heritability as a tool to evaluate the precision of 24-hour recall dietary questionnaire variables in UK Biobank
by Cole JB, Westerman KE, Manning AK, Florez JC and Hirschhorn JN (2023). Front. Genet. 13:1070511. doi: 10.3389/fgene.2022.1070511
In the published article, there was a coding error that led to an incorrect finding in the Results. The updated Result continues to emphasize both the potential of this novel approach and the need for future investigation.
Specifically, a correction has been made to the Results Section, paragraph 6. The previous version stated:
“Although gold standards are typically not available for most dietary phenotypes, some dietary phenotypes have strong associations at genetic loci with well-established mechanisms, which can serve as “genetic gold standards” for this subset of phenotypes. More broadly, if heritability were an appropriate metric to confidently assign and rank phenotype quality among different processing approaches, we would expect the more heritable version to have a stronger statistical association at genetic loci, particularly those with established biological mechanisms. To evaluate this question, we investigated the top associations from our GWAS data. Overall, we find that all 195 of our independent loci associated with dietary intake (See Methods) are more strongly associated with the more heritable phenotype version (54 crude and 141 EB). Notably, these loci include well-known genetic gold standard associations such as SNP rs1229984 in the ADH1B alcohol dehydrogenase gene associated with alcohol intake (Peng and Yin, 2009), SNP rs2472297 near the CYP1A2 caffeine metabolism gene associated with coffee intake (Faber et al., 2005), and SNP rs2708381 in the TAS2R46 bitter taste receptor gene (Andres-Barquin and Conte, 2004) associated with adding sugar or artificial sweetener to different beverages and foods.”
The corrected section appears below:
“Although gold standards are typically not available for most dietary phenotypes, some dietary phenotypes have strong associations at genetic loci with well-established mechanisms, which can serve as “genetic gold standards” for this subset of phenotypes. More broadly, if heritability were an appropriate metric to confidently assign and rank phenotype quality among different processing approaches, we would expect the more heritable version to have a stronger statistical association at genetic loci, particularly those with established biological mechanisms. To evaluate this question, we investigated the top associations from our GWAS data. Overall, we find that 208/379 (55%) of our independent loci associated with dietary intake (See Methods) are more strongly associated with the more heritable phenotype version (164 crude and 214 EB). Notably, these loci include well-known genetic gold standard associations such as SNP rs2472297 near the CYP1A2 caffeine metabolism gene associated with coffee intake (Faber et al., 2005) and SNP rs2708381 in the TAS2R46 bitter taste receptor gene (Andres-Barquin and Conte, 2004) associated with adding sugar or artificial sweetener to different beverages and foods. When filtering to dietary traits with the largest percent difference in heritability between the two versions (top 25% and top 10%), this concordance increases to 67% and 77%, respectively. This suggests that heritability may need to be substantially different to increase GWAS association strength.”
The authors apologize for this error and state that this does not change the scientific conclusions. The original article has been updated.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: heritability, nutrigenomics, nutritional epidemiology, 24-hour diet recall questionnaires, relative validity, phenotyping, empirical bayes, longitudinal data
Citation: Cole JB, Westerman KE, Manning AK, Florez JC and Hirschhorn JN (2023) Corrigendum: Genetic heritability as a tool to evaluate the precision of 24-hour recall dietary questionnaire variables in UK Biobank. Front. Genet. 14:1202158. doi: 10.3389/fgene.2023.1202158
Received: 07 April 2023; Accepted: 17 April 2023;
Published: 04 May 2023.
Edited and reviewed by:
Chao-Qiang Lai, Tufts University, United StatesCopyright © 2023 Cole, Westerman, Manning, Florez and Hirschhorn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Joanne B. Cole, am9hbm5lLmNvbGVAY3VhbnNjaHV0ei5lZHU=