• Aucun résultat trouvé

Polygenic Score for Body Mass Index Is Associated with Disordered Eating in a General Population Cohort

N/A
N/A
Protected

Academic year: 2022

Partager "Polygenic Score for Body Mass Index Is Associated with Disordered Eating in a General Population Cohort"

Copied!
6
0
0

Texte intégral

(1)

Article

Reference

Polygenic Score for Body Mass Index Is Associated with Disordered Eating in a General Population Cohort

ABDULKADIR, Mohamed, et al.

Abstract

Disordered eating (DE) is common and is associated with body mass index (BMI). We investigated whether genetic variants for BMI were associated with DE. Methods: BMI polygenic scores (PGS) were calculated for participants of the Avon Longitudinal Study of Parents and Children (ALSPAC; N = 8654) and their association with DE tested. Data on DE behaviors (e.g., binge eating and compensatory behaviors) were collected at ages 14, 16, 18 years, and DE cognitions (e.g., body dissatisfaction) at 14 years. Mediation analyses determined whether BMI mediated the association between the BMI-PGS and DE. Results:

The BMI-PGS was positively associated with fasting (OR = 1.42, 95% CI = 1.25, 1.61), binge eating (OR = 1.28, 95% CI = 1.12, 1.46), purging (OR = 1.20, 95% CI = 1.02, 1.42), body dissatisfaction (Beta = 0.99, 95% CI = 0.77, 1.22), restrained eating (Beta = 0.14, 95% CI = 0.10, 1.17), emotional eating (Beta = 0.21, 95% CI = 0.052, 0.38), and negatively associated with thin ideal internalization (Beta = -0.15, 95% CI = -0.23, -0.07) and external eating (Beta = -0.19, 95% CI = -0.30, -0.09). These associations were mainly [...]

ABDULKADIR, Mohamed, et al . Polygenic Score for Body Mass Index Is Associated with Disordered Eating in a General Population Cohort. Journal of Clinical Medicine , 2020, vol. 9, no. 4

DOI : 10.3390/jcm9041187 PMID : 32326247

Available at:

http://archive-ouverte.unige.ch/unige:151389

Disclaimer: layout of this document may differ from the published version.

1 / 1

(2)

Quality control checks of genotyping data

Individuals with disproportionate levels of individual missingness (i.e., >3%), insufficient sample replication (identity by descent < 0.1), biological sex mismatch, and non-European ancestry (as defined by multi-dimensional scaling using the HapMap Phase II, release 22, reference populations) were excluded. SNPs with a minor allele frequency (MAF) of < 1%, excessive missingness (i.e., call rate < 95%), or a departure from the Hardy–Weinberg equilibrium (P value < 5 x 10-7) were removed. Imputation was conducted with Impute3 using the HRC 1.0 as the reference panel [1] and phasing was carried out using ShapeIT (v2.r644). Finally, post-imputation quality control checks were performed; any SNPs with MAF less than 1%, Impute3 information quality metric of < 0.8, and not confirming to Hardy-Weinberg equilibrium (P < 5 × 10-7) were removed. After data cleaning, a total of 8,654 individuals (4,225 females and 4,429 males) and 4,054,653 SNPs remained eligible for analyses.

(3)

Figure 1. Directed acyclic graph (DAG) of the causal mediation analyses. The body mass index polygenic scores (BMI-PGS) was derived from summary statistics of the genome-wide association study (GWAS) carried out by the Genetic Investigation of Anthropometric Traits (GIANT) consortium [8] and were calculated for participants in the Avon Longitudinal Study of Parents and Children [4–7]. The sex and age adjusted BMI z-scores were included as a mediator in the causal mediation analyses that was carried out using the R package ´mediation´ (version 4.4.6; 32). The ‘mediation’ package is based on concepts proposed in modern causal inference [9]. Prior to the mediation analyses the BMI-PGS was standardized (to mean zero and standard deviation of one) and the analyses were controlled for biological sex and the first four ancestry-informative principal components. Confounders are not included in this DAG for simplicity.

Table 1. Age, sex, and ethnicity of the participants in the Avon Longitudinal Study of Parents and Children at all three time points.

Wave Age in years (SD) Female N (%) Child ancestry/ white ethnicity N (%)

14 14.0 (0.19) 3,416 (55.5) 5,372 (87.2)

16 16.7 (0.24) 3,095 (58.7) 4,482 (86.0)

18 18.7 (0.49) 2,174 (64.2) 3,010 (88.9)

BMI polygenic scores

BMI z-scores at age 11 years

Disordered behaviors/symptoms

at age 14-18 years

(4)

Table 2. Associations of body mass index polygenic score (BMI-PGS) with BMI in the Avon Longitudinal Study of Parents and Children.

Outcome Age outcome measured (years) N Thresholda N SNPs R2  (95% CI)b Qc

BMI 11 5371 0.0180001 19457 0.110480 1.14 (1.05, 1.22) 9.09 x 10-5

BMI z-scores 11 4037 0.0180001 19457 0.123235 0.40 (1.05, 1.22) 9.09 x 10-5

BMI 18 3931 0.0230001 21040 0.121126 1.44 (1.31, 1.56) 9.09 x 10-5

SNP = single nucleotide polymorphism; R2, squared multiple correlation; OR, odds ratio; CI, confidence interval. a The optimal P-value threshold for the inclusion of SNPs in the calculation of the body mass index (BMI) polygenic score (PGS) as determined by PRSice’s high-resolution scoring [2]. b Standardized betas reflect one standard deviation increase in the standardized (to mean zero and standard deviation of one) BMI-PGS. c Benjamini & Hochberg false discovery rate adjusting for the number of phenotypes tested [3].

Table 3. Effect size of associations of body mass index polygenic score (BMI-PGS) with disordered eating behaviors and cognitions in the total samples and separately for female participants of the Avon Longitudinal Study of Parents and Children.

Total sample Femalesa Binary outcomes Age outcome measured (years) OR (95% CI)b OR (95% CI)b

Fasting 14 1.45 (1.28, 1.64) 1.43 (1.25, 1.64)

Fasting 16 1.30 (1.18, 1.43) 1.27 (1.15, 1.42)

Fasting 18 1.26 (1.06, 1.51) 1.26 (1.05, 1.52)

Binge eating 14 1.29 (1.14, 1.47) 1.27 (1.08, 1.49)

Binge eating 16 1.22 (1.10, 1.35) 1.18 (1.05, 1.33)

Binge eating 18 1.23 (1.10, 1.39) 1.25 (1.09, 1.43)

Purging 16 1.24 (1.08, 1.42) 1.23 (1.07, 1.42)

Purging 18 1.21 (1.03, 1.43) 1.21 (1.02, 1.44)

Continuous outcomes Age outcome measured (years)  (95% CI)c  (95% CI)c Thin ideal internalization 14 -0.15 (-0.23, -0.07) -0.15 (-0.24, 0.05)

Body dissatisfaction 14 0.99 (0.77, 1.22) 1.24 (0.92, 1.55)

Restrained eating 14 0.14 (0.10, 0.17) 0.16 (0.11, 0.21)

Emotional eating 14 0.21 (0.052, 0.38) -0.10 (-0.34, 0.14)

External eating 14 -0.19 (-0.30, -0.09) -0.18 (-0.32, -0.05)

OR, odds ratio; CI, confidence interval. a Polygenic score analyses only carried out in female participants. b ORs reflect one standard deviation change in the standardized (to mean zero and standard deviation of one) BMI-PGS. c Standardized betas reflect one standard deviation increase in the standardized (to mean zero and standard deviation of one) BMI-PGS.

(5)

Table 4. Generalized linear mixed models for the association between the body mass index polygenic score (BMI-PGS) and the disordered eating behaviors with age at self-report of the disordered eating as an interaction term a.

Outcome Threshold b N SNPs 𝝌2 Pinteraction

Fasting 1 81,503 4.89 0.09

Binge eating 1 81,503 5.23 0.07

Purging 1 81,503 0.19 0.66

SNP = single nucleotide polymorphism; 𝝌2, test statistic as measured by chi-square. a Analyses were corrected for biological sex and the first four ancestry-informative principal components for the individuals in the Avon Longitudinal Study of Parents and Children. [4–7]. b P-value threshold for the inclusion of SNPs in the calculation of the BMI-PGS was set to 1 using PRSice [2].

(6)

References

1. McCarthy, S.; Das, S.; Kretzschmar, W.; Delaneau, O.; Wood, A.R.; Teumer, A.; Kang, H.M.;

Fuchsberger, C.; Danecek, P.; Sharp, K.; et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 2016, 48, 1279–1283.

2. Euesden, J.; Lewis, C.M.; O’Reilly, P.F. PRSice: Polygenic Risk Score software. Bioinformatics 2015, 31, 1466–1468.

3. Benjamini, Y.; Hochberg, Y. Controlling the False Discovery Rate : a Practical and Powerful Approach to Multiple Testing. J. R. Stat. Soc. Ser. B 1995, 57, 289–300.

4. Boyd, A.; Golding, J.; Macleod, J.; Lawlor, D.A.; Fraser, A.; Henderson, J.; Molloy, L.; Ness, A.; Ring, S.; Smith, G.D. Cohort profile: The ’Children of the 90s’-The index offspring of the avon longitudinal study of parents and children. Int. J. Epidemiol. 2013, 42, 111–127.

5. Fraser, A.; Macdonald-wallis, C.; Tilling, K.; Boyd, A.; Golding, J.; Davey smith, G.;

Henderson, J.; Macleod, J.; Molloy, L.; Ness, A.; et al. Cohort profile: The avon longitudinal study of parents and children: ALSPAC mothers cohort. Int. J. Epidemiol. 2013, 42, 97–110.

6. Golding; Pembrey; Jones; The Alspac Study Team ALSPAC-The Avon Longitudinal Study of Parents and Children. Paediatr. Perinat. Epidemiol. 2001, 15, 74–87.

7. Golding, J.; Team, S. The Avon Longitudinal Study of Parents and Children ( ALSPAC ) – study design and collaborative opportunities. 2004, 119–123.

8. Yengo, L.; Sidorenko, J.; Kemper, K.E.; Zheng, Z.; Wood, A.R.; Weedon, M.N.; Frayling, T.M.; Hirschhorn, J.; Yang, J.; Visscher, P.M. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Hum.

Mol. Genet. 2018, 27, 3641–3649.

9. VanderWeele, T. Explanation in causal inference: methods for mediation and interaction; Oxford University Press, 2015;

Références

Documents relatifs

ABSTRACT We examined the relationship between body fat and body mass index (BMI) in a multiethnic population of obese children. BMI z-scores were compared to DEXA measures of whole

In multivariate analysis, overweight was significantly associated with longer operative time compared to normal-weight patients (estimated mean difference of 10,4 min, 95%

Hypertension is more strongly associated with waist circumference than body mass index in an adult population of the French West Indies... HYPERTENSION IS MORE STRONGLY ASSOCIATED

Les habitants du sud du village auront la possibilité de quitter Courfaivre par la route de Soulce ainsi que par l’intersection entre la route de Soulce et la rue de la Faverge

The objective of this retrospective study was to evaluate the association between body mass index (BMI) and sperm–zona pellucida binding ability assessed according to the zona

d’élaboration d’un second plan stratégique, Torino Internazionale 2, mais il s’est. montré plus soucieux d’étendre son pouvoir et ses compétences en tant que

Ainsi dans le programme présenté par le parti à l’occasion des élections présidentielles de 2004, l’un des très rares points qui évoque la période de la lutte armée

Indeed, if one is willing to make the (implausible ?) assumption that excessive thinness is worse than grade 3 obesity - one could even conclude that the evolution of BMI