Genome-wide analysis of thyroid function in Australian adolescents highlights SERPINA7 and NCOA3.

OBJECTIVE: Genetic factors underpin the narrow intraindividual variability of thyroid function, although precise contributions of environmental vs genetic factors remain uncertain. We sought to clarify the heritability of thyroid function traits and thyroid peroxidase antibody (TPOAb) positivity and identify single nucleotide polymorphisms (SNPs) contributing to the trait variance. METHODS: Heritability of thyroid-stimulating hormone (TSH), free T4 (fT4), free T3 (fT3) and TPOAb in a cohort of 2854 euthyroid, dizygous and monozygous twins (age range 11.9-16.9 years) from the Brisbane Longitudinal Twin Study (BLTS) was assessed using structural equation modelling. A genome-wide analysis was conducted on 2832 of these individuals across 7 522 526 SNPs as well as gene-based association analyses. Replication analysis of the association results was performed in the Raine Study (n = 1115) followed by meta-analysis to maximise power for discovery. RESULTS: Heritability of thyroid function parameters in the BLTS was 70.8% (95% CI: 66.7-74.9%) for TSH, 67.5% (59.8-75.3%) for fT4, 59.7% (54.4-65.0%) for fT3 and 48.8% (40.6-56.9%) for TPOAb. The genome-wide association study (GWAS) in the discovery cohort identified a novel association between rs2026401 upstream of NCOA3 and TPOAb. GWAS meta-analysis found associations between TPOAb and rs445219, also near NCOA3, and fT3 and rs12687280 near SERPINA7. Gene-based association analysis highlighted SERPINA7 for fT3 and NPAS3 for fT4. CONCLUSION: Our findings resolve former contention regarding heritability estimates of thyroid function traits and TPOAb positivity. GWAS and gene-based association analysis identified variants accounting for a component of this heritability.

Falling threshold for treatment of borderline elevated thyrotropin levels-balancing benefits and risks: evidence from a large community-based study.

IMPORTANCE: Rates of thyroid hormone prescribing in the United States and the United Kingdom have increased substantially. If some of the increase is due to lowering the thyrotropin threshold for treatment, this may result in less benefit and greater harm. OBJECTIVE: To define trends in thyrotropin levels at the initiation of levothyroxine sodium therapy and the risk of developing a suppressed thyrotropin level following treatment. DESIGN, SETTING, PARTICIPANTS, AND EXPOSURE: Retrospective cohort study using data from the United Kingdom Clinical Practice Research Datalink. Among 52,298 individuals who received a prescription for levothyroxine between January 1, 2001, and October 30, 2009, we extracted data about the thyrotropin level before levothyroxine therapy initiation, clinical symptoms, and thyrotropin levels up to 5 years after levothyroxine was initiated. We excluded persons who had a history of hyperthyroidism, pituitary disease, or thyroid surgery; those who were taking thyroid-altering medication or if the levothyroxine prescription was related to pregnancy; and those who did not have a thyrotropin level measured within 3 months before the initiation of levothyroxine. MAIN OUTCOMES AND MEASURES: The median thyrotropin level at the time of the index levothyroxine prescription, the odds of initiation of levothyroxine therapy at thyrotropin levels of 10.0 mIU/L or less, and the age-stratified odds of developing a low or suppressed thyrotropin level after levothyroxine therapy. RESULTS: Between 2001 and 2009, the median thyrotropin level at the initiation of levothyroxine therapy fell from 8.7 to 7.9 mIU/L. The odds ratio for prescribing levothyroxine at thyrotropin levels of 10.0 mIU/L or less in 2009 compared with 2001 (adjusted for changes in population demographics) was 1.30 (95% CI, 1.19-1.42; P < .001). Older individuals and individuals with cardiac risk factors had higher odds of initiation of levothyroxine therapy with a thyrotropin level 10.0 mIU/L or less. At 5 years after levothyroxine initiation, 5.8% of individuals had a thyrotropin level of <0.1 mIU/L. Individuals with depression or tiredness at baseline had increased odds of developing a suppressed thyrotropin level, whereas individuals with cardiac risk factors (eg, atrial fibrillation, diabetes mellitus, hypertension, and raised lipid levels) did not. CONCLUSIONS AND RELEVANCE: We observed a trend toward levothyroxine treatment of more marginal degrees of hypothyroidism and a substantial risk of developing a suppressed thyrotropin level following therapy. Large-scale prospective studies are required to assess the risk-benefit ratio of current practice.

Genetic loci linked to pituitary-thyroid axis set points: a genome-wide scan of a large twin cohort.

OBJECTIVE: Previous studies have shown that circulating concentrations of TSH, free T4, and free T3 are genetically regulated, but the genes responsible remain largely unknown. The aim of this study was to identify genetic loci associated with these parameters. DESIGN: We performed a multipoint, nonparametric genome-wide linkage scan of 613 female dizygotic twin pairs. All subjects were euthyroid (TSH 0.4-4.0 mU/liter) with negative thyroid peroxidase antibodies and no history of thyroid disease. The genome scan comprised 737 microsatellite markers supplemented with dinucleotide markers. Data were analyzed using residualized thyroid hormone data after adjustment for age, smoking, and body mass index. RESULTS: Multipoint linkage analysis gave linkage peaks for free T4 on chromosome 14q13 and 18q21 [logarithm of odds (LOD) 2.4-3.2]; TSH on chromosomes 2q36, 4q32, and 9q34 (LOD 2.1-3.2); and free T3 on chromosomes 7q36, 8q22, and 18q21 (LOD 2.0-2.3). CONCLUSIONS: This study has identified eight genomic locations with linkage of LOD of 2.0 or greater. These results should enable targeted positional candidate and positional cloning studies to advance our understanding of genetic control of the pituitary-thyroid axis.

A genome-wide association study identifies protein quantitative trait loci (pQTLs).

There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts - cis effects, and elsewhere in the genome - trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8x10(-57)), CCL4L1 (p = 3.9x10(-21)), IL18 (p = 6.8x10(-13)), LPA (p = 4.4x10(-10)), GGT1 (p = 1.5x10(-7)), SHBG (p = 3.1x10(-7)), CRP (p = 6.4x10(-6)) and IL1RN (p = 7.3x10(-6)) genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R), altered secretion rates of different sized proteins (LPA), variation in gene copy number (CCL4L1) and altered transcription (GGT1). We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha) levels (p = 6.8x10(-40)), but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis locations. The identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving our understanding of disease pathways.

Monocyte-derived macrophages from men and women with Type 2 diabetes mellitus differ in fatty acid composition compared with non-diabetic controls.

We examined whether macrophages from men and women with Type 2 diabetes mellitus (T2DM) exhibited differences in expression of key genes involved in fatty acid metabolism and in fatty acid composition compared with macrophages from non-diabetic controls. Peripheral blood monocytes from subjects with T2DM (n=9) and non-diabetic controls (n=10) were differentiated into macrophages in 10% autologous serum and normal (5mM) or high (22mM) glucose. Levels of PPARalpha, PPARgamma, LXRalpha, SCD and ABCA1 mRNAs were similar in macrophages from subjects with T2DM and controls. At 5mM glucose, macrophage stearic acid (C18:0) was 12.6+/-1.0% of total fatty acids for T2DM compared with 18.1+/-2.0% for controls (p=0.03). Macrophage linoleic acid (C18:2) was 15.5+/-0.8% for T2DM and 9.3+/-2.0% for controls (p=0.005). The ratio of macrophage stearic acid (C18:0)/oleic acid (C18:1) was 0.29 [0.25,0.48] for T2DM versus 0.54 [0.36,0.82] for controls (p=0.04). Compared with non-diabetic controls, macrophages from men and women with T2DM had significantly different fatty acid profiles consistent with increased stearoyl-CoA desaturase (SCD) activity and increased C18:2 accumulation. This pattern of altered macrophage fatty acid composition may be relevant to diabetic atherogenesis.