Food allergy (FA) arises from a complex interplay between an individual's genetic predisposition and environmental factors, and its prevalence is increasing. Genome-wide association studies to date ha Show more
Food allergy (FA) arises from a complex interplay between an individual's genetic predisposition and environmental factors, and its prevalence is increasing. Genome-wide association studies to date have been hindered by small sample sizes and varying FA definitions. We sought to identify novel FA risk loci by conducting a genome-wide association study meta-analysis in children and adults by using a multiphenotype approach to ensure a good trade-off between sufficient sample size and valid FA definitions. Analyses were conducted separately in children and adults on the basis of the following FA phenotypes: self-report, doctor diagnosis, food-specific sensitization, and doctor diagnosis plus food-specific sensitization. A meta-analysis was performed of genome-wide association studies from up to 16 cohorts of people of European ancestry including 229,426 adults and 14,234 children. Models were adjusted for sex, age, principal components, and, if applicable, further study-specific confounders. Sensitivity models were additionally adjusted for hay fever. Replication was conducted in additional external cohorts and a validation in oral food challenge-defined FA cases. Thirty-seven single nucleotide polymorphisms met suggestive significance (P < 1 × 10 This study identified 37 single nucleotide polymorphisms suggestively associated with FA and demonstrated genetic differences across phenotypes. It highlights the need for a unified FA definition and sheds light on FA's shared genetic architecture with allergies. Show less
We investigated the associations of genetic risk score for Alzheimer's disease (GRS-AD) with cardiometabolic risk from early childhood over a 20-year follow-up. The STRIP study included 1062 children Show more
We investigated the associations of genetic risk score for Alzheimer's disease (GRS-AD) with cardiometabolic risk from early childhood over a 20-year follow-up. The STRIP study included 1062 children at baseline. GRS-AD was calculated for 631 participants using 22 independent genetic risk variants, including APOE ε2 and ε4 alleles, and excluding them (non-APOE-GRS-AD). We repeatedly measured waist circumference, high-density (HDL-C) and low-density (LDL-C) lipoprotein cholesterol, triglycerides, glucose, insulin, and blood pressure. The data were analysed with generalised additive mixed models. GRS-AD was directly associated with serum LDL-C (unstandardised β = 0.140, 95% CI = 0.084 to 0.195) and inversely with HDL-C (β = -0.026, 95% CI = -0.044 to -0.009). GRS-AD was inversely associated with serum HDL-C in males (β = -0.044, 95% CI = -0.070 to -0.018) but not in females (β = -0.010, 95% CI = -0.032 to 0.012). The associations were diluted when the non-APOE-GRS-AD was applied. A genetic predisposition to AD may alter lipid metabolism from early childhood. While Alzheimer's disease and cardiometabolic diseases may have shared genetic determinants, the associations between genetic susceptibility for Alzheimer's disease and increased cardiometabolic risk from childhood to young adulthood are poorly understood. We investigated the associations of genetic risk score for Alzheimer's disease with cardiometabolic risk from early childhood over a 20-year follow-up. We found that a higher genetic risk score for Alzheimer's disease was associated with higher LDL cholesterol, non-HDL cholesterol, and ApoB, and with lower serum HDL cholesterol and ApoA1. These findings suggest that a genetic predisposition to Alzheimer's disease may alter lipid metabolism from early childhood. Show less
A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide associatio Show more
A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We included 35 668 children from 20 studies in the discovery phase and 11 873 children from 13 studies in the replication phase. In total, 15 loci reached genome-wide significance (P-value < 5 × 10(-8)) in the joint discovery and replication analysis, of which 12 are previously identified loci in or close to ADCY3, GNPDA2, TMEM18, SEC16B, FAIM2, FTO, TFAP2B, TNNI3K, MC4R, GPR61, LMX1B and OLFM4 associated with adult body mass index or childhood obesity. We identified three novel loci: rs13253111 near ELP3, rs8092503 near RAB27B and rs13387838 near ADAM23. Per additional risk allele, body mass index increased 0.04 Standard Deviation Score (SDS) [Standard Error (SE) 0.007], 0.05 SDS (SE 0.008) and 0.14 SDS (SE 0.025), for rs13253111, rs8092503 and rs13387838, respectively. A genetic risk score combining all 15 SNPs showed that each additional average risk allele was associated with a 0.073 SDS (SE 0.011, P-value = 3.12 × 10(-10)) increase in childhood body mass index in a population of 1955 children. This risk score explained 2% of the variance in childhood body mass index. This study highlights the shared genetic background between childhood and adult body mass index and adds three novel loci. These loci likely represent age-related differences in strength of the associations with body mass index. Show less