EDITORIAL article Front. Genet., 09 March 2022Sec.Genetics of Common and Rare Diseases https://doi.org/10.3389/fgene.2022.839758
BACKGROUND:Haploinsufficiency of the FOXL2 transcription factor in humans causes Blepharophimosis/Ptosis/Epicanthus Inversus syndrome (BPES), characterized by eyelid anomalies and premature ovarian failure. Mice lacking Foxl2 recapitulate human eyelid/forehead defects and undergo female gonadal dysgenesis. We report here that mice lacking Foxl2 also show defects in postnatal growth and embryonic bone and cartilage formation. METHODS:Foxl2 (-/-) male mice at different stages of development have been characterized and compared to wild type. Body length and weight were measured and growth curves were created. Skeletons were stained with alcian blue and/or alizarin red. Bone and cartilage formation was analyzed by Von Kossa staining and immunofluorescence using anti-FOXL2 and anti-SOX9 antibodies followed by confocal microscopy. Genes differentially expressed in skull vaults were evaluated by microarray analysis. Analysis of the GH/IGF1 pathway was done evaluating the expression of several hypothalamic-pituitary-bone axis markers by RT-qPCR. RESULTS:Compared to wild-type, Foxl2 null mice are smaller and show skeletal abnormalities and defects in cartilage and bone mineralization, with down-regulation of the GH/IGF1 axis. Consistent with these effects, we find FOXL2 expressed in embryos at 9.5 dpc in neural tube epithelium, in head mesenchyme near the neural tube, and within the first branchial arch; then, starting at 12.5 dpc, expressed in cartilaginous tissue; and at PO and P7, in hypothalamus. CONCLUSIONS:Our results support FOXL2 as a master transcription factor in a spectrum of developmental processes, including growth, cartilage and bone formation. Its action overlaps that of SOX9, though they are antagonistic in female vs male gonadal sex determination but conjoint in cartilage and skeletal development.
Despite progress in identifying genes associated with breast cancer, many more risk loci exist. Genome-wide association analyses in genetically-homogeneous populations, such as that of Sardinia (Italy), could represent an additional approach to detect low penetrance alleles.
The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.
Variation in body iron is associated with or causes diseases, including anaemia and iron overload. Here, we analyse genetic association data on biochemical markers of iron status from 11 European-population studies, with replication in eight additional cohorts (total up to 48,972 subjects). We find 11 genome-wide-significant (P<5 × 10(-8)) loci, some including known iron-related genes (HFE, SLC40A1, TF, TFR2, TFRC, TMPRSS6) and others novel (ABO, ARNTL, FADS2, NAT2, TEX14). SNPs at ARNTL, TF, and TFR2 affect iron markers in HFE C282Y homozygotes at risk for hemochromatosis. There is substantial overlap between our iron loci and loci affecting erythrocyte and lipid phenotypes. These results will facilitate investigation of the roles of iron in disease.
Objectives. Lower levels of serum brain derived neurotrophic factor (BDNF) is one of the best known biomarkers of depression. To identify genetic variants associated with serum BDNF, we tested the Val66Met (rs6265) functional variant and conducted a genome-wide association scan (GWAS). Methods. In a community-based sample (N = 2054; aged 19-101, M = 51, SD = 15) from Sardinia, Italy, we measured serum BDNF concentration and conducted a GWAS. Results. We estimated the heritability of serum BDNF to be 0.48 from sib-pairs. There was no association between serum BDNF and Val66Met in the SardiNIA sample and in a meta-analysis of published studies (k = 13 studies, total n = 4727, P = 0.92). Although no genome-wide significant associations were identified, some evidence of association was found in the BDNF gene (rs11030102, P = 0.001) and at two loci (rs7170215, P = 4.8 x 10 (5) and rs11073742 P = 1.2 x 10 (5)) near and within NTRK3 gene, a neurotrophic tyrosine kinase receptor. Conclusions. Our study and meta-analysis of the literature indicate that the BDNF Val66Met variant is not associated with serum BDNF, but other variants in the BDNF and NTRK3 genes might regulate the level of serum BDNF.
Objective Personality traits related to high neuroticism and low conscientiousness are consistently associated with obesity. Hormones implicated in appetite and metabolism, such as leptin, may also be related to personality and may contribute to the association between these traits and obesity. The present research examined the association between leptin and Five Factor Model personality traits. Methods A total of 5214 participants (58% women; mean [standard deviation] age = 44.42 [15.93] years; range, 18–94 years) from the SardiNIA project completed the Revised NEO Personality Inventory, a comprehensive measure of personality traits, and their blood samples were assayed for leptin. Results As expected, lower conscientiousness was associated with higher circulating levels of leptin (r = −0.05, p < .001), even after controlling for body mass index, waist circumference, or inflammatory markers (r = −0.05, p < .001). Neuroticism, in contrast, was unrelated to leptin (r = 0.01, p = .31). Conclusions Individuals who are impulsive and lack discipline (low conscientiousness) may develop leptin resistance, which could be one factor that contributes to obesity, whereas the relation between a proneness to anxiety and depression (high neuroticism) and obesity may be mediated through other physiological and/or behavioral pathways.
BACKGROUND:The ability to control impulses varies greatly, and difficulty with impulse control can have severe consequences; in the extreme, it is the defining feature of many psychiatric disorders. Evidence from disparate lines of research suggests that uric acid is elevated in psychiatric disorders characterized by high impulsivity, such as attention-deficit/hyperactivity disorder and bipolar disorder. The present research tests the hypothesis that impulsivity is associated with higher uric acid in humans and mice.METHODS:Using two longitudinal, nonclinical community samples (total n = 6883), we tested whether there is an association between uric acid and normal variation in trait impulsivity measured with the Revised NEO Personality Inventory. We also examined the effect of uric acid on behavior by comparing wild-type mice, which naturally have low levels of uric acid, with mice genetically modified to accumulate high levels of uric acid.RESULTS:In both human samples, the emotional aspects of trait impulsivity, specifically impulsiveness and excitement seeking, were associated with higher levels of uric acid concurrently and when uric acid was measured 3 to 5 years later. Consistent with the human data, the genetically modified mice displayed significantly more exploratory and novelty-seeking behavior than the wild-type mice.CONCLUSIONS:Higher uric acid was associated with impulsivity in both humans and mice. The identification of biological markers of impulsivity may lead to a better understanding of the physiological mechanisms involved in impulsivity and may suggest potential targets for therapeutic intervention.
CONTEXT:Recent studies have shown an association between cigarettes per day (CPD) and a nonsynonymous single-nucleotide polymorphism in CHRNA5, rs16969968.OBJECTIVE:To determine whether the association between rs16969968 and smoking is modified by age at onset of regular smoking.DATA SOURCES:Primary data.STUDY SELECTION:Available genetic studies containing measures of CPD and the genotype of rs16969968 or its proxy.DATA EXTRACTION:Uniform statistical analysis scripts were run locally. Starting with 94,050 ever-smokers from 43 studies, we extracted the heavy smokers (CPD >20) and light smokers (CPD ≤10) with age-at-onset information, reducing the sample size to 33,348. Each study was stratified into early-onset smokers (age at onset ≤16 years) and late-onset smokers (age at onset >16 years), and a logistic regression of heavy vs light smoking with the rs16969968 genotype was computed for each stratum. Meta-analysis was performed within each age-at-onset stratum.DATA SYNTHESIS:Individuals with 1 risk allele at rs16969968 who were early-onset smokers were significantly more likely to be heavy smokers in adulthood (odds ratio [OR] = 1.45; 95% CI, 1.36-1.55; n = 13,843) than were carriers of the risk allele who were late-onset smokers (OR = 1.27; 95% CI, 1.21-1.33, n = 19,505) (P = .01).CONCLUSION:These results highlight an increased genetic vulnerability to smoking in early-onset smokers.
Anaemia is a chief determinant of global ill health, contributing to cognitive impairment, growth retardation and impaired physical capacity. To understand further the genetic factors influencing red blood cells, we carried out a genome-wide association study of haemoglobin concentration and related parameters in up to 135,367 individuals. Here we identify 75 independent genetic loci associated with one or more red blood cell phenotypes at P < 10−8, which together explain 4–9% of the phenotypic variance per trait. Using expression quantitative trait loci and bioinformatic strategies, we identify 121 candidate genes enriched in functions relevant to red blood cell biology. The candidate genes are expressed preferentially in red blood cell precursors, and 43 have haematopoietic phenotypes in Mus musculus or Drosophila melanogaster. Through open-chromatin and coding-variant analyses we identify potential causal genetic variants at 41 loci. Our findings provide extensive new insights into genetic mechanisms and biological pathways controlling red blood cell formation and function. A series of genetic studies have led to the discovery of novel independent loci and candidate genes associated with red blood cell phenotype; for a proportion of these genes potential single-nucleotide genetic variants are also identified, providing new insights into genetic pathways controlling red blood cell formation, function and pathology. This genome-wide association study of more than 135,000 individuals identifies 75 independent genetic loci influencing red blood cell phenotypes, enriched for genes involved in cell cycle control, transcriptional regulation, growth factor and cytokine signalling, haemoglobin synthesis, iron handling and cytoskeletal function, as well as a number of genes of uncertain or unknown function. Further analyses identified 121 candidate genes related to red blood cell biology, one-third of which have haematopoietic phenotypes in mouse and Drosophila.
A chronically elevated white blood cell (WBC) count is a risk factor for morbidity and mortality. The present research tests whether facets of impulsivity—impulsiveness, excitement-seeking, self-discipline, and deliberation—are associated with chronically elevated WBC counts. Community-dwelling participants (N = 5,652) from Sardinia, Italy, completed a standard personality questionnaire and provided blood samples concurrently and again 3 years later. Higher scores on impulsivity, in particular impulsiveness and excitement-seeking, were related to higher total WBC counts and higher lymphocyte counts at both time points. Impulsiveness was a predictor of chronic inflammation: for every standard deviation difference in this trait, there was an almost 25% higher risk of elevated WBC counts at both time points (OR = 1.23, 95% CI = 1.10–1.38). These associations were mediated, in part, by smoking and body mass index. The findings demonstrate that links between psychological processes and immunity are not limited to acute stressors; stable personality dispositions are associated with a chronic inflammatory state.
Personality traits are complex phenotypes related to psychosomatic health. Individually, various gene finding methods have not achieved much success in finding genetic variants associated with personality traits. We performed a meta-analysis of four genome-wide linkage scans (N=6149 subjects) of five basic personality traits assessed with the NEO Five-Factor Inventory. We compared the significant regions from the meta-analysis of linkage scans with the results of a meta-analysis of genome-wide association studies (GWAS) (N∼17 000). We found significant evidence of linkage of neuroticism to chromosome 3p14 (rs1490265, LOD=4.67) and to chromosome 19q13 (rs628604, LOD=3.55); of extraversion to 14q32 (ATGG002, LOD=3.3); and of agreeableness to 3p25 (rs709160, LOD=3.67) and to two adjacent regions on chromosome 15, including 15q13 (rs970408, LOD=4.07) and 15q14 (rs1055356, LOD=3.52) in the individual scans. In the meta-analysis, we found strong evidence of linkage of extraversion to 4q34, 9q34, 10q24 and 11q22, openness to 2p25, 3q26, 9p21, 11q24, 15q26 and 19q13 and agreeableness to 4q34 and 19p13. Significant evidence of association in the GWAS was detected between openness and rs677035 at 11q24 (P-value=2.6 × 10−06, KCNJ1). The findings of our linkage meta-analysis and those of the GWAS suggest that 11q24 is a susceptible locus for openness, with KCNJ1 as the possible candidate gene.
Gary F. Mitchell, MD*; Germaine C. Verwoert, MSc*; Kirill V. Tarasov, MD, PhD*; Aaron Isaacs, PhD; Albert V. Smith, PhD; Yasmin, BSc, MA, PhD; Ernst R. Rietzschel, MD, PhD; Toshiko Tanaka, PhD; Yongmei Liu, MD, PhD; Afshin Parsa, MD, MPH; Samer S. Najjar, MD; Kevin M. O’Shaughnessy, MA, BM, DPhil, FRCP; Sigurdur Sigurdsson, MSc; Marc L. De Buyzere, MSc; Martin G. Larson, ScD; Mark P.S. Sie, MD, PhD; Jeanette S. Andrews, MS; Wendy S. Post, MD, MS; Francesco U.S. Mattace-Raso, MD, PhD; Carmel M. McEniery, BSc, PhD; Gudny Eiriksdottir, MSc; Patrick Segers, PhD; Ramachandran S. Vasan, MD; Marie Josee E. van Rijn, MD, PhD; Timothy D. Howard, PhD; Patrick F. McArdle, PhD; Abbas Dehghan, MD, PhD; Elizabeth S. Jewell, MS; Stephen J. Newhouse, MSc, PhD; Sofie Bekaert, PhD; Naomi M. Hamburg, MD; Anne B. Newman, MD, MPH; Albert Hofman, MD, PhD; Angelo Scuteri, MD, PhD; Dirk De Bacquer, PhD; Mohammad Arfan Ikram, MD, PhD†; Bruce M. Psaty, MD, PhD†; Christian Fuchsberger, PhD‡; Matthias Olden, PhD‡; Louise V. Wain, PhD§; Paul Elliott, MB, PhD§; Nicholas L. Smith, PhD ; Janine F. Felix, MD, PhD ; Jeanette Erdmann, PhD¶; Joseph A. Vita, MD; Kim Sutton-Tyrrell, PhD; Eric J.G. Sijbrands, MD, PhD; Serena Sanna, PhD; Lenore J. Launer, MS, PhD; Tim De Meyer, PhD; Andrew D. Johnson, MD; Anna F.C. Schut, MD, PhD; David M. Herrington, MD, MHS; Fernando Rivadeneira, MD, PhD; Manuela Uda, PhD; Ian B. Wilkinson, MA, BM, FRCP; Thor Aspelund, PhD; Thierry C. Gillebert, MD, PhD; Luc Van Bortel, MD, PhD; Emelia J. Benjamin, MD, MSc; Ben A. Oostra, PhD; Jingzhong Ding, MD, PhD; Quince Gibson, MBA; André G. Uitterlinden, PhD; Gonçalo R. Abecasis, PhD; John R. Cockcroft, BSc, MB, ChB, FRCP; Vilmundur Gudnason, MD, PhD; Guy G. De Backer, MD, PhD; Luigi Ferrucci, MD; Tamara B. Harris, MD, MS; Alan R. Shuldiner, MD; Cornelia M. van Duijn, PhD; Daniel Levy, MD*; Edward G. Lakatta, MD*; Jacqueline C.M. Witteman, PhD*
Identifying the genes that influence levels of pro-inflammatory molecules can help to elucidate the mechanisms underlying this process. We first conducted a two-stage genome-wide association scan (GWAS) for the key inflammatory biomarkers Interleukin-6 (IL-6), the general measure of inflammation erythrocyte sedimentation rate (ESR), monocyte chemotactic protein-1 (MCP-1), and high-sensitivity C-reactive protein (hsCRP) in a large cohort of individuals from the founder population of Sardinia. By analysing 731,213 autosomal or X chromosome SNPs and an additional ∼1.9 million imputed variants in 4,694 individuals, we identified several SNPs associated with the selected quantitative trait loci (QTLs) and replicated all the top signals in an independent sample of 1,392 individuals from the same population. Next, to increase power to detect and resolve associations, we further genotyped the whole cohort (6,145 individuals) for 293,875 variants included on the ImmunoChip and MetaboChip custom arrays. Overall, our combined approach led to the identification of 9 genome-wide significant novel independent signals—5 of which were identified only with the custom arrays—and provided confirmatory evidence for an additional 7. Novel signals include: for IL-6, in the ABO gene (rs657152, p = 2.13×10−29); for ESR, at the HBB (rs4910472, p = 2.31×10−11) and UCN119B/SPPL3 (rs11829037, p = 8.91×10−10) loci; for MCP-1, near its receptor CCR2 (rs17141006, p = 7.53×10−13) and in CADM3 (rs3026968, p = 7.63×10−13); for hsCRP, within the CRP gene (rs3093077, p = 5.73×10−21), near DARC (rs3845624, p = 1.43×10−10), UNC119B/SPPL3 (rs11829037, p = 1.50×10−14), and ICOSLG/AIRE (rs113459440, p = 1.54×10−08) loci. Confirmatory evidence was found for IL-6 in the IL-6R gene (rs4129267); for ESR at CR1 (rs12567990) and TMEM57 (rs10903129); for MCP-1 at DARC (rs12075); and for hsCRP at CRP (rs1205), HNF1A (rs225918), and APOC-I (rs4420638). Our results improve the current knowledge of genetic variants underlying inflammation and provide novel clues for the understanding of the molecular mechanisms regulating this complex process.
Personality can be thought of as a set of characteristics that influence people's thoughts, feelings and behavior across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in 10 discovery samples (17 375 adults) and five in silico replication samples (3294 adults). All participants were of European ancestry. Personality scores for Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness were based on the NEO Five-Factor Inventory. Genotype data of ∼2.4M single-nucleotide polymorphisms (SNPs; directly typed and imputed using HapMap data) were available. In the discovery samples, classical association analyses were performed under an additive model followed by meta-analysis using the weighted inverse variance method. Results showed genome-wide significance for Openness to Experience near the RASA1 gene on 5q14.3 (rs1477268 and rs2032794, P=2.8 × 10−8 and 3.1 × 10−8) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P=4.9 × 10−8). We further conducted a gene-based test that confirmed the association of KATNAL2 to Conscientiousness. In silico replication did not, however, show significant associations of the top SNPs with Openness and Conscientiousness, although the direction of effect of the KATNAL2 SNP on Conscientiousness was consistent in all replication samples. Larger scale GWA studies and alternative approaches are required for confirmation of KATNAL2 as a novel gene affecting Conscientiousness.
To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 x 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-kappa B signaling and mitochondrial dysfunction as biological processes related to timing of menopause.
In the context of obesity epidemic, no large population study has extensively investigated the relationships between total and abdominal adiposity and large artery structure and function nor have such relationships been examined by gender, by age, by hypertensive status. We investigated these potential relationships in a large cohort of community dwelling volunteers participating the SardiNIA Study.Methods and results: Total and visceral adiposity and arterial properties were assessed in 6148 subjects, aged 14-102 in a cluster of 4 towns in Sardinia, Italy. Arterial stiffness was measured as aortic pulse wave velocity (PWV), arterial thickness and lumen as common carotid artery (CCA) intima-media thickness (IMT) and diameter, respectively. We reported a nonlinear relationship between total and visceral adiposity and arterial stiffness, thickness, and diameter. The association between adiposity and arterial properties was steeper in women than in men, in younger than in older subjects. Waist correlated with arterial properties better than BMI. Within each BMI quartile, increasing waist circumference was associated with further significant changes in arterial structure and function.Conclusion: The relationship between total or abdominal adiposity and arterial aging (PWV and CCA IMT) is not linear as described in the current study. Therefore, BMI- and/or waist-specific reference values for arterial measurements might need to be defined. Published by Elsevier Ireland Ltd.
Objective: Metabolic syndrome (MetS) and its components accelerate age-associated increases in arterial stiffness and thickness. We investigated whether specific proinflammatory cytokines contribute to arterial aging, independent of age, sex, MetS, and other traditional CV risk factors.Research design and methods: MetS components (ATP III criteria) and arterial properties were assessed in 6148 subjects, aged 14-102 in Sardinia, Italy. Common carotid artery (CCA) diameter, intima-media thickness (IMT), and aortic pulse wave velocity (PWV), adiponectin, leptin, high-sensitivity C reactive protein (hsCRP), monocyte chemoattractant protein 1 (MCP1), and interleukin 6 (IL6) were measured.Results: While cytokine levels - except for MCP1 - were significantly higher (lower for adiponectin) in MetS than in control subjects, and the increased PWV and CCA IMT with aging were associated with MetS, this association was independent of cytokine levels (p < 0.001 for both PWV and CCA IMT). Specific cytokines, however, were significantly associated with arterial stiffness (higher leptin, p < 0.001, and higher hsCRP,p < 0.001) or thickness (lower adiponectin, p < 0.05, and higher IL6, p < 0.001) - independent of age, sex, MetS and other traditional CV risk factors. The co-occurrence of both MetS and higher cytokines levels was associated with greater increases in arterial stiffness and thickness.Conclusion: While MetS and specific cytokine patterns associated with arterial aging, the increases in arterial stiffness and thickness are greater when both MetS and higher cytokine levels are present, suggesting a possible synergistic effect of MetS and inflammation on the arterial wall. Published by Elsevier Ireland Ltd.