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1. Genome-wide Association Study of Liking for Several Types of Physical Activity in the UK Biobank and Two Replication Cohorts

Author

Klimentidis, Y.C., Newell, M., Van Der Zee, M.D., Bland, V.L., May-Wilson, S., Arani, G., Menni, C., Mangino, M., Arora, A., Raichlen, D.A., Alexander, G.E., Wilson, J.F., Boomsma, D.I., Hottenga, J.-J., De Geus, Eco .J.C., Pirastu, N., Biological Psychology, APH - Methodology, Amsterdam Reproduction & Development, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, AMS - Sports, and AMS - Ageing & Vitality

Subjects
Genome-wide association study, Physical activity, Physical Therapy, Sports Therapy and Rehabilitation, United Kingdom, Genetic, Preferences, Humans, Orthopedics and Sports Medicine, Genetic Predisposition to Disease, Liking, Exercise, Biological Specimen Banks, Genome-Wide Association Study
Abstract

Introduction A lack of physical activity (PA) is one of the most pressing health issues today. Our individual propensity for PA is influenced by genetic factors. Stated liking of different PA types may help capture additional and informative dimensions of PA behavior genetics.Methods In over 157,000 individuals from the UK Biobank, we performed genome-wide association studies of five items assessing the liking of different PA types, plus an additional derived trait of overall PA-liking. We attempted to replicate significant associations in the Netherlands Twin Register (NTR) and TwinsUK. Additionally, polygenic scores (PGS) were trained in the UK Biobank for each PA-liking item and for self-reported PA behavior, and tested for association with PA in the NTR.Results We identified a total of 19 unique significant loci across all five PA-liking items and the overall PA-liking trait, and these showed strong directional consistency in the replication cohorts. Four of these loci were previously identified for PA behavior, including CADM2, which was associated with three PA-liking items. The PA-liking items were genetically correlated with self-reported (rg = 0.38–0.80) and accelerometer (rg = 0.26–0.49) PA measures, and with a wide range of health-related traits. Each PA-liking PGS significantly predicted the same PA-liking item in NTR. The PGS of liking for going to the gym predicted PA behavior in the NTR (r2 = 0.40%) nearly as well as a PGS based on self-reported PA behavior (r2 = 0.42%). Combining the two PGS into a single model increased the r2 to 0.59%, suggesting that PA-liking captures distinct and relevant dimensions of PA behavior.Conclusions We have identified the first loci associated with PA-liking and extended our understanding of the genetic basis of PA behavior.

Published
2022
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2. Variants associated with HHIP expression have sex-differential effects on lung function [version 1; peer review: 2 approved]

Author

Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T., Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, PD, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, and Wain, LV

Subjects
genome-wide interaction study, HHIP, lcsh:R, lcsh:Medicine, lung function, genotyyppi, sukupuoli, hengityselimet, toimintakyky, expression, sex, lcsh:Q, geeniekspressio, geneettiset tekijät, lcsh:Science, keuhkot
Abstract

Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P

Published
2020

3. Variants associated with HHIP expression have sexdifferential effects on lung function

Author

Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Berge, MVD, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, Wain, LV, Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Berge, MVD, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, and Wain, LV

Published
2021

4. Variants associated withHHIP expression have sex-differential effects on lung function

Author

Fawcett, KA, Wain, LV, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, Fawcett, KA, Wain, LV, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, and Tobin, MD

Abstract

Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P<5x10 -8) interactions with sex on lung function, and 21 showed suggestive interactions (P<1x10 -6). The strongest signal, from rs7697189 (chr4:145436894) on forced expiratory volume in 1 second (FEV 1) (P=3.15x10 -15), was replicated (P=0.016) in SpiroMeta. The C allele increased FEV 1 more in males (untransformed FEV 1 β=0.028 [SE 0.0022] litres) than females (β=0.009 [SE 0.0014] litres), and this effect was not accounted for by differential effects on height, smoking or pubertal age. rs7697189 resides upstream of the hedgehog-interacting protein ( HHIP) gene and was previously associated with lung function and HHIP lung expression. We found HHIP expression was significantly different between the sexes (P=6.90x10 -6), but we could not detect sex differential effects of rs7697189 on expression. Conclusions: We identified a novel genotype-by-sex interaction at a putative enhancer region upstream of the HHIP gene. Establishing the mechanism by which HHIP SNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases in both sexes.

Published
2020

6. An atlas of genetic scores to predict multi-omic traits.

Author

Xu Y, Ritchie SC, Liang Y, Timmers PRHJ, Pietzner M, Lannelongue L, Lambert SA, Tahir UA, May-Wilson S, Foguet C, Johansson Å, Surendran P, Nath AP, Persyn E, Peters JE, Oliver-Williams C, Deng S, Prins B, Luan J, Bomba L, Soranzo N, Di Angelantonio E, Pirastu N, Tai ES, van Dam RM, Parkinson H, Davenport EE, Paul DS, Yau C, Gerszten RE, Mälarstig A, Danesh J, Sim X, Langenberg C, Wilson JF, Butterworth AS, and Inouye M

Subjects
Humans, Metabolomics methods, Phenotype, Proteomics methods, Machine Learning, Black or African American genetics, Asian genetics, European People genetics, United Kingdom, Datasets as Topic, Internet, Reproducibility of Results, Cohort Studies, Proteome analysis, Proteome metabolism, Metabolome, Plasma metabolism, Databases, Factual, Coronary Artery Disease genetics, Coronary Artery Disease metabolism, Multiomics
Abstract

The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies that do not have multi-omics 1 . Here we examine a large cohort (the INTERVAL study 2 ; n = 50,000 participants) with extensive multi-omic data for plasma proteomics (SomaScan, n = 3,175; Olink, n = 4,822), plasma metabolomics (Metabolon HD4, n = 8,153), serum metabolomics (Nightingale, n = 37,359) and whole-blood Illumina RNA sequencing (n = 4,136), and use machine learning to train genetic scores for 17,227 molecular traits, including 10,521 that reach Bonferroni-adjusted significance. We evaluate the performance of genetic scores through external validation across cohorts of individuals of European, Asian and African American ancestries. In addition, we show the utility of these multi-omic genetic scores by quantifying the genetic control of biological pathways and by generating a synthetic multi-omic dataset of the UK Biobank 3 to identify disease associations using a phenome-wide scan. We highlight a series of biological insights with regard to genetic mechanisms in metabolism and canonical pathway associations with disease; for example, JAK-STAT signalling and coronary atherosclerosis. Finally, we develop a portal ( https://www.omicspred.org/ ) to facilitate public access to all genetic scores and validation results, as well as to serve as a platform for future extensions and enhancements of multi-omic genetic scores., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2023
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7. Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits.

Author

May-Wilson S, Matoba N, Wade KH, Hottenga JJ, Concas MP, Mangino M, Grzeszkowiak EJ, Menni C, Gasparini P, Timpson NJ, Veldhuizen MG, de Geus E, Wilson JF, and Pirastu N

Subjects
Emotions, Food, Humans, Reward, Food Preferences physiology, Genome-Wide Association Study
Abstract

We present the results of a GWAS of food liking conducted on 161,625 participants from the UK-Biobank. Liking was assessed over 139 specific foods using a 9-point scale. Genetic correlations coupled with structural equation modelling identified a multi-level hierarchical map of food-liking with three main dimensions: "Highly-palatable", "Acquired" and "Low-caloric". The Highly-palatable dimension is genetically uncorrelated from the other two, suggesting that independent processes underlie liking high reward foods. This is confirmed by genetic correlations with MRI brain traits which show with distinct associations. Comparison with the corresponding food consumption traits shows a high genetic correlation, while liking exhibits twice the heritability. GWAS analysis identified 1,401 significant food-liking associations which showed substantial agreement in the direction of effects with 11 independent cohorts. In conclusion, we created a comprehensive map of the genetic determinants and associated neurophysiological factors of food-liking., (© 2022. The Author(s).)

Published
2022
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8. Variants associated with HHIP expression have sex-differential effects on lung function.

Author

Fawcett KA, Obeidat M, Melbourne C, Shrine N, Guyatt AL, John C, Luan J, Richmond A, Moksnes MR, Granell R, Weiss S, Imboden M, May-Wilson S, Hysi P, Boutin TS, Portas L, Flexeder C, Harris SE, Wang CA, Lyytikäinen LP, Palviainen T, Foong RE, Keidel D, Minelli C, Langenberg C, Bossé Y, Van den Berge M, Sin DD, Hao K, Campbell A, Porteous D, Padmanabhan S, Smith BH, Evans DM, Ring S, Langhammer A, Hveem K, Willer C, Ewert R, Stubbe B, Pirastu N, Klaric L, Joshi PK, Patasova K, Massimo M, Polasek O, Starr JM, Karrasch S, Strauch K, Meitinger T, Rudan I, Rantanen T, Pietiläinen K, Kähönen M, Raitakari OT, Hall GL, Sly PD, Pennell CE, Kaprio J, Lehtimäki T, Vitart V, Deary IJ, Jarvis D, Wilson JF, Spector T, Probst-Hensch N, Wareham NJ, Völzke H, Henderson J, Strachan DP, Brumpton BM, Hayward C, Hall IP, Tobin MD, and Wain LV

Abstract

Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P<5x10 -8 ) interactions with sex on lung function, and 21 showed suggestive interactions (P<1x10 -6 ). The strongest signal, from rs7697189 (chr4:145436894) on forced expiratory volume in 1 second (FEV 1 ) (P=3.15x10 -15 ), was replicated (P=0.016) in SpiroMeta. The C allele increased FEV 1 more in males (untransformed FEV 1 β=0.028 [SE 0.0022] litres) than females (β=0.009 [SE 0.0014] litres), and this effect was not accounted for by differential effects on height, smoking or pubertal age. rs7697189 resides upstream of the hedgehog-interacting protein ( HHIP ) gene and was previously associated with lung function and HHIP lung expression. We found HHIP expression was significantly different between the sexes (P=6.90x10 -6 ), but we could not detect sex differential effects of rs7697189 on expression. Conclusions: We identified a novel genotype-by-sex interaction at a putative enhancer region upstream of the HHIP gene. Establishing the mechanism by which HHIP SNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases in both sexes., Competing Interests: Competing interests: The following authors report potential competing interests: L.V.W.: Louise V. Wain has received grant support from GSK. M.D.T.: Martin D. Tobin has received grant support from GSK. I.P.H.: Ian P. Hall has received support from GSK and BI., (Copyright: © 2021 Fawcett KA et al.)

Published
2021
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