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To compare the ability of three fetal growth charts (Fetal Medicine Foundation (FMF), Hadlock and National Institutes of Child Health and Human Development (NICHD) race/ethnicity-specific) to predict large-for-gestational age (LGA) at birth in pregnant individuals with pregestational diabetes, and to determine whether inclusion of hemoglobin A1c (HbA1c) level improves the predictive performance of the growth charts.This was a retrospective analysis of individuals with Type-1 or Type-2 diabetes with a singleton pregnancy that resulted in a non-anomalous live birth. Fetal biometry was performed between 28 + 0 and 36 + 6 weeks of gestation. The primary exposure was suspected LGA, defined as estimated fetal weight ≥ 90Of 358 assessed pregnant individuals with pregestational diabetes (34% with Type 1 and 66% with Type 2), 147 (41%) had a LGA infant at birth. Suspected LGA was identified in 123 (34.4%) by the Hadlock, 152 (42.5%) by the FMF and 152 (42.5%) by the NICHD growth chart. The FMF growth chart had the highest sensitivity (77% vs 69% (NICHD) vs 63% (Hadlock)) and the Hadlock growth chart had the highest specificity (86% vs 76% (NICHD) and 82% (FMF)) for predicting LGA at birth. The FMF growth chart had a significantly higher AUC (0.79 (95% CI, 0.74-0.84)) for LGA at birth compared with the NICHD (AUC, 0.72 (95% CI, 0.68-0.77); P 0.001) and Hadlock (AUC, 0.75 (95% CI, 0.70-0.79); P 0.01) growth charts. Prediction of LGA improved for all three growth charts with the inclusion of HbA1c measurement in comparison to each growth chart alone (P 0.001 for all); the FMF growth chart remained more predictive of LGA at birth (AUC, 0.85 (95% CI, 0.81-0.90)) compared with the NICHD (AUC, 0.79 (95% CI, 0.73-0.84)) and Hadlock (AUC, 0.81 (95% CI, 0.76-0.86)) growth charts.The FMF fetal growth chart had the best predictive performance for LGA at birth in comparison with the Hadlock and NICHD race/ethnicity-specific growth charts in pregnant individuals with pregestational diabetes. Inclusion of HbA1c improved further the prediction of LGA for all three charts. © 2022 The Authors. Ultrasound in ObstetricsGynecology published by John WileySons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

To examine the association between initial COVID-19 vaccine hesitancy and subsequent vaccination among pregnant and postpartum individuals.Prospective cohort.A Midwestern tertiary-care academic medical center. Individuals completed a baseline vaccine hesitancy assessment from 22 March 2021 to 2 April 2021, with subsequent ascertainment of vaccination status at 3-6 months follow-up.We used multivariable Poisson regression to estimate the relative risk of vaccination by baseline vaccine hesitancy status, and then characteristics associated with vaccination.Self-report of COVID-19 vaccination, and secondarily, consideration of COVID-19 vaccination among those not vaccinated.Of 456 individuals (93% pregnant, 7% postpartum) initially surveyed, 290 individuals (64%; 23% pregnant, 77% postpartum) provided subsequent vaccination status (median = 17 weeks). Of these 290 individuals, 40% (116/290) reported COVID-19 vaccine hesitancy upon enrolment, of whom 52% reported subsequent vaccination at follow-up. Few individuals transitioned during the study period from vaccine hesitant to vaccinated (10%); in comparison, 80% of those who were not vaccine hesitant were vaccinated at follow-up (aRR 0.19, 95% CI 0.11-0.33). Among those who remained unvaccinated at follow-up, 38% who were vaccine hesitant at baseline were considering vaccination, compared with 71% who were not vaccine hesitant (aRR 0.48, 95% CI 0.33-0.67). Individuals who were older, parous, employed and of higher educational attainment were more likely to be vaccinated, and those who identified as non-Hispanic black, were Medicaid beneficiaries, and were still pregnant at follow-up were less likely to be vaccinated.COVID-19 vaccine hesitancy persisted over time in the peripartum period, and few individuals who reported hesitancy at baseline were later vaccinated. Interventions that address vaccine hesitancy in pregnancy are needed.

To assess the frequency and associated characteristics of COVID-19 vaccine hesitancy among pregnant and postpartum individuals.Cross-sectional study.Prenatal care at a single academic tertiary care centre.Pregnant and postpartum individuals enrolled in prenatal care at a single academic tertiary care centre from 22 March 2021 to 2 April 2021, concurrent with state guidelines recommending COVID-19 vaccination in pregnancy.We used logistic regression to identify characteristics associated with COVID-19 vaccine hesitancy, and adjusted for: age, parity, race, trimester of pregnancy, and chronic comorbidities.COVID-19 vaccine hesitancy, defined as uncertainty or refusal of the vaccine, despite the availability of vaccine services, in accordance with the World Health Organization (WHO) Strategic Advisory Group of Experts (SAGE) on vaccine hesitancy.Of the 485 individuals screened and approached, 456 (94%) enrolled and completed the survey (435/456, 95% pregnant). The frequency of COVID-19 vaccine hesitancy was 46% (95% CI 41%-51%). Sociodemographic characteristics, including non-Hispanic Black race, younger age, lower education, public health insurance receipt, parity1, and reported substance use, were associated with a higher odds of COVID-19 vaccine hesitancy, but not clinical risk conditions. Individuals who had a family or friend vaccinated for COVID-19, prior or planned vaccination for tetanus, diphtheria and acellular pertussis (Tdap) and/or influenza, and who perceived that vaccination benefited the baby were less likely to express COVID-19 vaccine hesitancy.COVID-19 vaccine hesitancy was frequent among pregnant and postpartum individuals. Those who may face barriers to accessing healthcare services were more likely to report vaccine hesitancy. These results can inform interventions to increase COVID-19 vaccine uptake in pregnancy.COVID-19 vaccination hesitancy is frequent among pregnant and postpartum individuals, and those who face barriers to accessing healthcare services are more likely to report COVID-19 vaccine hesitancy.

Problem Limited data exists on the temporal trend of the Sars‐CoV‐2 immunologic response and duration of protection following natural infection. We sought to investigate the presence and duration of Sars‐CoV‐2 serum antibodies in obstetrical healthcare workers (HCW) on serial assessments over a 6‐month period, and to assess rates of vaccine acceptance and reported vaccine side effects among this cohort. Method of study A prospective cohort study of a convenience sample of obstetrical HCWs at a tertiary hospital. Serum Sars‐CoV‐2 antibodies for Immunoglobulin G (IgG) and Immunoglobulin M (IgM) were measured longitudinally at four intervals: baseline, 4 weeks, 12 weeks, and 6 months. Participants completed voluntary surveys on COVID19 testing, high‐risk exposures, vaccine acceptance, and vaccine side effects. Results One hundred twenty‐six of 150 (84%) HCWs who volunteered for participation completed all four blood draws. Prevalence of seropositive HCWs based on positive Sars‐CoV‐2 IgG antibodies increased from 2% at baseline to 31% at 12 weeks but declined to 21% by 6 months. Forty‐two percent (19/43) of the participants considered seropositive for Sars‐CoV‐2 IgG antibodies at any of the initial three blood draws converted to seronegative status at the 6‐month follow‐up. Eighty‐seven percent (72/83) of participants who responded to a follow‐up survey were willing to accept the COVID19 vaccine. Rates of acceptance did not differ by participant antibody status. Those that experienced symptoms with the first injection were more likely to have positive Sars‐CoV‐2 IgG antibodies (36.8% vs. 9.6%, p = .01). Conclusion Sars‐CoV‐2 IgG antibodies wane over time and may not provide prolonged and robust immune protection. This underscores the importance of vaccination and continued research in this area while the COVID19 pandemic continues.

In addition to supporting visibility, parking lot lighting should enable people to feel safe and secure while they are walking through a parking lot at night. Previously published research has indicated that perceptions of safety and security under outdoor illumination are correlated with perceptions of scene brightness, which in turn are influenced by the light level in the lot, by the spectral distribution of the illumination, and the uniformity of illumination. However, the interactions and interplay among these factors are not well understood. To address this knowledge gap, two laboratory experiments were conducted using a scale model parking lot scene and a controllable light-emitting diode (LED) lighting system that allowed parametric variations in light level, spectrum and uniformity. From the results, a mathematical model of overall brightness and safety perceptions was developed to predict how different lighting configurations are perceived. The model can be used to help specifiers select lighting systems for parking lot illumination that meet the objectives of reinforcing sensations of personal safety while balancing energy use and cost concerns.

Kinetic profile predictions of ITER PFPO-1 plasmas require high accuracy in the central electron temperatures to be applied to the calculation of third harmonic electron cyclotron absorption. Correctly predicting the transition from L-mode to H-mode further requires precise estimates of the ion heat flux in the periphery of the plasma. Recent versions of the quasi-linear transport models TGLF and QuaLiKiz were tested against an extensive set of experimental results from ASDEX Upgrade (AUG) and JET-ILW, where the focus was put on AUG plasmas heated by ECRH. Spectra obtained from TGLF are compared to a set of linear gyrokinetic simulations performed with GKW. Electron and ion temperature profiles obtained with TGLF-SAT1geo show good agreement with the experimental profiles, but there is a slight tendency to underpredict central T e and T i at high ratios T e/T i. QuaLiKiz yields reasonable results for T e and T i profiles in plasmas where the ion temperature gradient mode is dominant, but predicts a significantly too weak transport in the presence of dominant trapped electron modes in conditions of strong central electron heating.

The calibration of the electrical performance of seven photovoltaic (PV) modules was compared between four reference laboratories on three continents. The devices included two samples in standard and two in high-efficiency crystalline silicon technology, two CI(G)S and one CdTe module. The reference value for each PV module parameter was calculated from the average of the results of all four laboratories, weighted by the respective measurement uncertainties. All single results were then analysed with respect to this reference value using the En number approach. For the four modules in crystalline silicon technology, the results agreed in general within ±0.5%, with all values within ±1% and all En numbers well within [−1, 1], indicating further scope for reducing quoted measurement uncertainty. Regarding the three thin-film modules, deviations were on average roughly twice as large, i.e. in general from ±1% to ±2%. A number of inconsistent results were observable, although within the 5% that can be statistically expected on the basis of the En number approach. Most inconsistencies can be traced to the preconditioning procedure of one participant, although contribution of other factors cannot be ruled out. After removing these obvious inconsistent results, only two real outliers remained, representing less than 2% of the total number of measurands. The results presented show improved agreement for the calibration of PV modules with respect to previous international exercises. For thin-film PV modules, the preconditioning of the devices prior to calibration measurements is the most critical factor for obtaining consistent results, while the measurement processes seem consistent and repeatable.

Background Although an elevated early pregnancy hemoglobin A1c has been associated with both spontaneous abortion and congenital anomalies, it is unclear whether A1c assessment is of value beyond the first trimester in pregnancies complicated by pregestational diabetes. Objective We sought to investigate the prognostic ability of longitudinal A1c assessment to predict obstetric and neonatal adverse outcomes based on degree of glycemic control in early and late pregnancy. Materials and Methods This was a retrospective cohort study of all pregnancies complicated by pregestational diabetes from January 2012 to December 2016 at The Ohio State University Wexner Medical Center with both an early A1c ( 26 weeks’ gestation) available for analysis. Patients were categorized by good (early and late A1c 6.5% and late A1c 6.5%) glycemic control. A multivariate regression model was used to calculate adjusted odds ratios for each identified obstetric and neonatal outcome, controlling for maternal age, body mass index, race/ethnicity, type of diabetes, and gestational age at delivery compared to good control as the referent group. Results A total of 341 patients met inclusion criteria during the study period. The median A1c values improved from early to late gestation in the good (5.7% [interquartile range, 5.4−6.1%] versus 5.4%; [interquartile range, 5.2−5.7%]), improved (7.5% [interquartile range, 6.7−8.5] versus 5.9% [interquartile range, 5.6−6.1%]) and poor (8.3% [interquartile range, 7.1−9.6%] versus 7.3% [interquartile range, 6.8−7.9%]) glycemic control groups. There were no statistically significant differences in the rate of adverse outcomes between the good and improved groups except for an increased rate of neonatal intensive care unit (NICU) admissions in the improved group (adjusted odds ratio, 3.7; confidence interval, 1.9−7.3). In contrast, the poor control group had an increased rate of shoulder dystocia (adjusted odds ratio, 6.8; confidence interval, 1.4−34.0), preterm delivery (adjusted odds ratio, 3.9; confidence interval, 2.1−7.3), neonatal intensive care unit admission (adjusted odds ratio, 2.8; confidence interval, 1.4−5.3), respiratory distress syndrome (adjusted odds ratio, 3.0; confidence interval, 1.1−8.0), hypoglycemia (adjusted odds ratio, 3.2; confidence interval, 1.5−6.9), large for gestational age weight at birth (adjusted odds ratio, 2.5; confidence interval, 1.4−4.4), neonatal length of stay >4 days (adjusted odds ratio, 4.2; confidence interval, 1.9−9.6) and preeclampsia (adjusted odds ratio, 2.4; confidence interval, 1.2−4.6). There were no differences in rates of cesarean delivery, umbilical artery pH Conclusion Antenatal hemoglobin A1c values are useful for objective risk stratification of patients with pregestational diabetes. Strict glycemic control throughout pregnancy with a late pregnancy A1c target of

Background To date, no genome-wide association study (GWAS) has considered the combined phenotype of asthma with hay fever. Previous analyses of family data from the Tasmanian Longitudinal Health Study provide evidence that this phenotype has a stronger genetic cause than asthma without hay fever. Objective We sought to perform a GWAS of asthma with hay fever to identify variants associated with having both diseases. Methods We performed a meta-analysis of GWASs comparing persons with both physician-diagnosed asthma and hay fever (n = 6,685) with persons with neither disease (n = 14,091). Results At genome-wide significance, we identified 11 independent variants associated with the risk of having asthma with hay fever, including 2 associations reaching this level of significance with allergic disease for the first time: ZBTB10 (rs7009110; odds ratio [OR], 1.14; P = 4 × 10 −9 ) and CLEC16A (rs62026376; OR, 1.17; P = 1 × 10 −8 ). The rs62026376:C allele associated with increased asthma with hay fever risk has been found to be associated also with decreased expression of the nearby DEXI gene in monocytes. The 11 variants were associated with the risk of asthma and hay fever separately, but the estimated associations with the individual phenotypes were weaker than with the combined asthma with hay fever phenotype. A variant near LRRC32 was a stronger risk factor for hay fever than for asthma, whereas the reverse was observed for variants in/near GSDMA and TSLP . Single nucleotide polymorphisms with suggestive evidence for association with asthma with hay fever risk included rs41295115 near IL2RA (OR, 1.28; P = 5 × 10 −7 ) and rs76043829 in TNS1 (OR, 1.23; P = 2 × 10 −6 ). Conclusion By focusing on the combined phenotype of asthma with hay fever, variants associated with the risk of allergic disease can be identified with greater efficiency.

TO THE EDITOR Striae distensae, or stretch marks, are a common skin condition that appear initially as red, and later on as white, lines on the skin. These lines represent scars of the dermis, and are characterized by linear bundles of collagen lying parallel to the surface of the skin, as well as eventual loss of collagen and elastin. Reports differ on the level of fragmentation of elastic fibers (Zheng et al., 1985; Sheu et al., 1991). Estimates of the prevalence of stretch marks range from 50 to 80% (Atwal et al., 2006; Cho et al., 2006). Although stretch marks are only harmful in extreme cases (Dosal et al., 2012), even mild stretch marks can cause distress to the bearer. The causes of stretch marks are not well understood. Excessive skin distension (such as that which occurs during pregnancy, growth spurts in puberty, or rapid weight gain), prolonged exposure to cortisol (such as in individuals with Cushing syndrome), and genetics may all have a role (Elsaie et al., 2009). A few monogenic connective tissue diseases, including Marfan syndrome and congenital contractural arachnodactyly, are known to be associated with stretch marks. These syndromes are caused by mutations in genes that encode extracellular matrix proteins (fibrillin-1 and fibrillin-2, respectively) that are part of elastic microfibrils present in skin and other tissues. However, to date, no genetic variants are known to be associated with isolated stretch marks that afflict the general population. To identify variants associated with the development of stretch marks, we conducted a genome-wide association analysis of stretch marks in a discovery cohort of 33,930 unrelated 23andMe customers (Supplementary Table S1 online) of European descent. There were a total of 13,068 cases and 20,862 controls. The 18,650 men in the cohort were much less likely to report stretch marks (25% versus 55% of women), which is consistent with other reports (Elsaie et al., 2009). We further evaluated the associated variants in a cohort consisting of 4,967 female 23andMe customers of European descent (disjoint from the first group) who reported on severity of stretch marks during pregnancy (also known as striae gravidarum, a closely related phenotype). See Supplemental Methods for additional details on phenotyping. The protocol for this study was approved by an independent institutional review board (EI all study participants provided informed consent online, which was recorded in an electronic database. See Supplementary Methods for details on genotyping and imputation. All analyses used logistic (discovery cohort) or linear (pregnancy cohort) regression against imputed allele dosages, controlling for age, population structure (using five principal components), and (except for the pregnancy cohort) sex. Because the prevalence of stretch marks differs between men and women, we checked for but did not observe differing effects for the single-nucleotide polymorphisms (SNPs) in men and women. Four regions were significantly (P

Allergic disease is very common and carries substantial public-health burdens. We conducted a meta-analysis of genome-wide associations with self-reported cat, dust-mite and pollen allergies in 53,862 individuals. We used generalized estimating equations to model shared and allergy-specific genetic effects. We identified 16 shared susceptibility loci with association P

Item does not contain fulltext The pathogenesis of androgenetic alopecia (AGA, male-pattern baldness) is driven by androgens, and genetic predisposition is the major prerequisite. Candidate gene and genome-wide association studies have reported that single-nucleotide polymorphisms (SNPs) at eight different genomic loci are associated with AGA development. However, a significant fraction of the overall heritable risk still awaits identification. Furthermore, the understanding of the pathophysiology of AGA is incomplete, and each newly associated locus may provide novel insights into contributing biological pathways. The aim of this study was to identify unknown AGA risk loci by replicating SNPs at the 12 genomic loci that showed suggestive association (5 x 10(-8)

Background Neointimal hyperplasia limits the longevity of vascular interventions. Nitric oxide (NO) is well known to inhibit neointimal hyperplasia. However, delivery of NO to the vasculature is challenging. Our study aims to evaluate the efficacy of delivering NO to the site of injury using a permeable balloon catheter. Our hypothesis is that ultra-short duration NO delivery using a permeable balloon catheter will inhibit neointimal hyperplasia. Materials and methods Ten-week-old male Sprague-Dawley rats underwent carotid artery balloon injury. Groups included: (1) control, (2) injury, (3) injury + periadventitial NO, and (4) injury + endoluminal NO via permeable balloon catheter. The catheter was inflated to 5 atm pressure for 5 min. Arteries were harvested 2 wk following injury. Morphometric assessment for neointimal hyperplasia and immunohistochemical staining for inflammatory markers were performed. Results Injury increased neointimal hyperplasia compared with control (intima/media area [I/M] ratio 1.07 versus 0.11, respectively, P < 0.001). Periadventitial delivery of NO reduced the I/M area ratio compared with injury alone (55% decrease, P < 0.001). Endoluminal delivery of NO also reduced the I/M area ratio compared with injury alone (65% decrease; P < 0.001). Both endoluminal and periadventitial NO affected the I/M ratio by reducing the intimal area (64% and 46%, respectively, P < 0.001) whereas neither affected the medial area. Periadventitial NO delivery increased lumen area (P < 0.05), whereas endoluminal NO delivery increased circumference (P < 0.05). Periadventitial NO delivery inhibited macrophage intimal infiltration compared with injury alone (P < 0.05). Conclusions These data demonstrate that short-duration endoluminal NO delivery via permeable balloon catheters inhibits neointimal hyperplasia following arterial interventions. Endoluminal delivery of NO could become a focus for future clinical interventions.

An updated assessment has been made of the proposed hypothesis that galactic cosmic rays (GCRs) are positively correlated with lower-troposphere global cloudiness. A brief review of the many conflicting studies that attempt to prove or disprove this hypothesis is also presented. It has been determined in this assessment that the recent extended quiet period between solar cycles 23 and 24 has led to a record-high level of GCRs, which in turn has been accompanied by a record-low level of lower-troposphere global cloudiness. This represents a possible observational disconnect, and the update presented here continues to support the need for further research on the GCR–cloud hypothesis and its possible role in the science of climate change.

Leukocyte telomere shortening can serve as a biomarker of aging, as telomere length (TL) can decline with age and shortening is positively associated with morbidity and mortality. It is therefore important to identify psychological and behavioral factors linked to accelerated telomere shortening. Stress and poorer metabolic health (greater adiposity, insulin resistance, and cortisol) correlate with shorter telomeres. Self-reported dietary restraint (DR), defined as chronic preoccupation with weight and attempts at restricting food intake, is linked to greater perceived stress, cortisol, and weight gain, when assessed in community studies (versus in weight loss programs).To test for an association between DR and TL in healthy women across a range of ages.We examined whether DR is linked to TL in two samples, one of premenopausal women (aged 20-50 years;N = 36) and one of postmenopausal women (aged 53-69 years; N = 20).In both samples, higher levels of DR were associated with shorter leukocyte TL, independent of body mass index, smoking, and age.Chronic DR, as assessed by self-report (i.e. not caloric restriction), may be a risk factor for premature telomere shortening. Potential mechanisms are discussed.

BACKGROUND: Endometriosis is associated with pituitary‐ovarian axis dysfunction. The study of the follicular fluid in patients with endometriosis is important to elucidate the pathophysiological mechanism of this disease. The objective of this present paper was to analyse the dosages of insulin-like growth factor-1 (IGF-1) and IGF binding protein-1 and 3 (IGFBP-1 and IGFBP-3) in the follicular fluid environment of infertile patients with endometriosis. METHODS: A total of 41 infertile patients undergoing IVF between January 1999 and January 2000 participated in the cross-sectional prospective study. Patients were divided into three groups: group I, minimal/mild endometriosis (n = 12); group II, moderate/severe endometriosis ( n= 10); and group III, tubal obstruction ( n= 19). The ultrashort protocol was used in association with recombinant FSH for ovulation induction. Follicular fluid analysis was performed using radioimmunoassay with specific kits. RESULTS: Follicular fluid IGF-1 and IGFBP-3 levels were not significantly different among the groups; however, follicular fluid IGFBP-1 levels were lower in those patients with moderate/severe endometriosis (P < 0.05). Comparison of ovulation induction time, number of recombinant FSH units, number of follicles, oocytes and embryos, and fertilization and gestation/cycle rates showed non-significant differences. CONCLUSION: Infertile patients with moderate/severe endometriosis, which is associated with ovulatory dysfunction, presented lower levels of IGFBP-1 in the follicular fluid when undergoing IVF.

Roughly one in three individuals is highly susceptible to motion sickness and yet the underlying causes of this condition are not well understood. Despite high heritability, no associated genetic factors have been discovered to date. Here, we conducted the first genome-wide association study on motion sickness in 80,494 individuals from the 23andMe database who were surveyed about car sickness. Thirty-five single-nucleotide polymorphisms (SNPs) were associated with motion sickness at a genome-wide-significant level (p< 5e-8). Many of these SNPs are near genes involved in balance, and eye, ear, and cranial development (e.g., PVRL3, TSHZ1, MUTED, HOXB3, HOXD3). Other SNPs may affect motion sickness through nearby genes with roles in the nervous system, glucose homeostasis, or hypoxia. We show that several of these SNPs display sex-specific effects, with as much as three times stronger effects in women. We searched for comorbid phenotypes with motion sickness, confirming associations with known comorbidities including migraines, postoperative nausea and vomiting (PONV), vertigo, and morning sickness, and observing new associations with altitude sickness and many gastrointestinal conditions. We also show that two of these related phenotypes (PONV and migraines) share underlying genetic factors with motion sickness. These results point to the importance of the nervous system in motion sickness and suggest a role for glucose levels in motion-induced nausea and vomiting, a finding that may provide insight into other nausea-related phenotypes such as PONV. They also highlight personal characteristics (e.g., being a poor sleeper) that correlate with motion sickness, findings that could help identify risk factors or treatments.

Myopia, or nearsightedness, is the most common eye disorder, resulting primarily from excess elongation of the eye. The etiology of myopia, although known to be complex, is poorly understood. Here we report the largest ever genome-wide association study (45,771 participants) on myopia in Europeans. We performed a survival analysis on age of myopia onset and identified 22 significant associations (), two of which are replications of earlier associations with refractive error. Ten of the 20 novel associations identified replicate in a separate cohort of 8,323 participants who reported if they had developed myopia before age 10. These 22 associations in total explain 2.9% of the variance in myopia age of onset and point toward a number of different mechanisms behind the development of myopia. One association is in the gene PRSS56, which has previously been linked to abnormally small eyes; one is in a gene that forms part of the extracellular matrix (LAMA2); two are in or near genes involved in the regeneration of 11-cis-retinal (RGR and RDH5); two are near genes known to be involved in the growth and guidance of retinal ganglion cells (ZIC2, SFRP1); and five are in or near genes involved in neuronal signaling or development. These novel findings point toward multiple genetic factors involved in the development of myopia and suggest that complex interactions between extracellular matrix remodeling, neuronal development, and visual signals from the retina may underlie the development of myopia in humans., Author Summary The genetic basis of myopia, or nearsightedness, is believed to be complex and affected by multiple genes. Two genetic association studies have each identified a single genetic region associated with myopia in European populations. Here we report the results of the largest ever genetic association study on myopia in over 45,000 people of European ancestry. We identified 22 genetic regions significantly associated with myopia age of onset. Two are replications of the previously identified associations, and 20 are novel. Ten of the novel associations replicate in a small separate cohort. Sixteen of the novel associations are in or near genes implicated in eye development, neuronal development and signaling, the visual cycle of the retina, and general morphology: BMP3, BMP4, DLG2, DLX1, KCNMA1, KCNQ5, LAMA2, LRRC4C, PRSS56, RBFOX1, RDH5, RGR, SFRP1, TJP2, ZBTB38, and ZIC2. These findings point to numerous biological pathways involved in the development of myopia and, in particular, suggest that early eye and neuronal development may lead to the eventual development of myopia in humans.

The leaves of the Coriandrum sativum plant, known as cilantro or coriander, are widely used in many cuisines around the world. However, far from being a benign culinary herb, cilantro can be polarizing—many people love it while others claim that it tastes or smells foul, often like soap or dirt. This soapy or pungent aroma is largely attributed to several aldehydes present in cilantro. Cilantro preference is suspected to have a genetic component, yet to date nothing is known about specific mechanisms. Here, we present the results of a genome-wide association study among 14,604 participants of European ancestry who reported whether cilantro tasted soapy, with replication in a distinct set of 11,851 participants who declared whether they liked cilantro. We find a single-nucleotide polymorphism (SNP) significantly associated with soapy-taste detection that is confirmed in the cilantro preference group. This SNP, rs72921001 (p = 6.4 × 10−9, odds ratio 0.81 per A allele), lies within a cluster of olfactory receptor genes on chromosome 11. Among these olfactory receptor genes is OR6A2, which has a high binding specificity for several of the aldehydes that give cilantro its characteristic odor. We also estimate the heritability of cilantro soapy-taste detection in our cohort, showing that the heritability tagged by common SNPs is low, about 0.087. These results confirm that there is a genetic component to cilantro taste perception and suggest that cilantro dislike may stem from genetic variants in olfactory receptors. We propose that one of a cluster of olfactory receptor genes, perhaps OR6A2, may be the olfactory receptor that contributes to the detection of a soapy smell from cilantro in European populations.

Hypothyroidism is the most common thyroid disorder, affecting about 5% of the general population. Here we present the current largest genome-wide association study of hypothyroidism, in 3,736 cases and 35,546 controls. Hypothyroidism was assessed via web-based questionnaires. We identify five genome-wide significant associations, three of which are well known to be involved in a large spectrum of autoimmune diseases: rs6679677 near PTPN22, rs3184504 in SH2B3, and rs2517532 in the HLA class I region (p-values 2.8·10(-13), 2.6·10(-12), and 1.3·10(-8), respectively). We also report associations with rs4915077 near VAV3 (p-value 7.5·10(-10)) and rs925489 near FOXE1 (p value 2.4·10(-19)). VAV3 is involved in immune function, and FOXE1 and PTPN22 have previously been associated with hypothyroidism. Although the HLA class I region and SH2B3 have previously been linked with a number of autoimmune diseases, this is the first report of their association with thyroid disease. The VAV3 association is also novel. We also show suggestive evidence of association for hypothyroidism with a SNP in the HLA class II region (independent of the other HLA association) as well as SNPs in CAPZB, PDE8B, and CTLA4. CAPZB and PDE8B have been linked to TSH levels and CTLA4 to a variety of autoimmune diseases. These results suggest heterogeneity in the genetic etiology of hypothyroidism, implicating genes involved in both autoimmune disorders and thyroid function. Using a genetic risk profile score based on the top association from each of the five genome-wide significant regions in our study, the relative risk between the highest and lowest deciles of genetic risk is 2.0.

We present and discuss the strong correspondence between evolution of the emission length scale in the lower transition region and in situ measurements of the fast solar wind composition during this most recent solar minimum. We combine recent analyses demonstrating the variance in the (supergranular) network emission length scale measured by SOHO (and STEREO) with that of the Helium abundance (from WIND) and the degree of Iron fractionation in the solar wind (from the ACE and Ulysses). The net picture developing is one where a decrease in the Helium abundance and the degree of Iron fractionation (approaching values expected of the photosphere) in the fast wind indicate a significant change in the process loading material into the fast solar wind during the recent solar minimum. This result is compounded by a study of the Helium abundance during the space age using the NASA OMNI database which shows a slowly decaying amount of Helium being driven into the heliosphere over the course of the several solar cycles., 5 pages, 4 figures, accepted to appear in the Astrophysical Journal Letters

While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for amassing large amounts of medical information in a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web‐based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we expected to (based on the number of cases in our cohort and reported odds ratios, and excluding a set of associations with contradictory published evidence). Altogether we replicated over 180 previously reported associations, including many for type 2 diabetes, prostate cancer, cholesterol levels, and multiple sclerosis. We found significant variation across categories of conditions in the percentage of expected associations that we were able to replicate, which may reflect systematic inflation of the effects in some initial reports, or differences across diseases in the likelihood of misdiagnosis or misreport. We also demonstrated that we could improve replication success by taking advantage of our recontactable cohort, offering more in‐depth questions to refine self‐reported diagnoses. Our data suggests that online collection of self‐reported data in a recontactable cohort may be a viable method for both broad and deep phenotyping in large populations.

While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for amassing large amounts of medical information in a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web‐based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we expected to (based on the number of cases in our cohort and reported odds ratios, and excluding a set of associations with contradictory published evidence). Altogether we replicated over 180 previously reported associations, including many for type 2 diabetes, prostate cancer, cholesterol levels, and multiple sclerosis. We found significant variation across categories of conditions in the percentage of expected associations that we were able to replicate, which may reflect systematic inflation of the effects in some initial reports, or differences across diseases in the likelihood of misdiagnosis or misreport. We also demonstrated that we could improve replication success by taking advantage of our recontactable cohort, offering more in‐depth questions to refine self‐reported diagnoses. Our data suggests that online collection of self‐reported data in a recontactable cohort may be a viable method for both broad and deep phenotyping in large populations.

Although the causes of Parkinson's disease (PD) are thought to be primarily environmental, recent studies suggest that a number of genes influence susceptibility. Using targeted case recruitment and online survey instruments, we conducted the largest case-control genome-wide association study (GWAS) of PD based on a single collection of individuals to date (3,426 cases and 29,624 controls). We discovered two novel, genome-wide significant associations with PD–rs6812193 near SCARB2 (, ) and rs11868035 near SREBF1/RAI1 (, )—both replicated in an independent cohort. We also replicated 20 previously discovered genetic associations (including LRRK2, GBA, SNCA, MAPT, GAK, and the HLA region), providing support for our novel study design. Relying on a recently proposed method based on genome-wide sharing estimates between distantly related individuals, we estimated the heritability of PD to be at least 0.27. Finally, using sparse regression techniques, we constructed predictive models that account for 6%–7% of the total variance in liability and that suggest the presence of true associations just beyond genome-wide significance, as confirmed through both internal and external cross-validation. These results indicate a substantial, but by no means total, contribution of genetics underlying susceptibility to both early-onset and late-onset PD, suggesting that, despite the novel associations discovered here and elsewhere, the majority of the genetic component for Parkinson's disease remains to be discovered., Author Summary We conducted a large genome-wide association study (GWAS) of Parkinson's disease (PD) with over 3,400 cases and 29,000 controls (the largest single PD GWAS cohort to date). We report two novel genetic associations and replicate a total of twenty previously described associations, showing that there are now many solid genetic factors underlying PD. We also estimate that genetic factors explain at least one-fourth of the variation in PD liability, of which currently discovered factors only explain a small fraction (6%–7%). Together, these results expand the set of genetic factors discovered to date and imply that many more associations remain to be found. Unlike traditional studies, participation in this study took place completely online, using a collection of cases recruited primarily via PD mailing lists and controls derived from the customer base of the personal genetics company 23andMe. Our study thus illustrates the ability of web-based methods for enrollment and data collection to yield new scientific insights into the etiology of disease, and it demonstrates the power and reliability of self-reported data for studying the genetics of Parkinson's disease.

While the cost and speed of generating genomic data have come down dramatically in recent years, the slow pace of collecting medical data for large cohorts continues to hamper genetic research. Here we evaluate a novel online framework for obtaining large amounts of medical information from a recontactable cohort by assessing our ability to replicate genetic associations using these data. Using web-based questionnaires, we gathered self-reported data on 50 medical phenotypes from a generally unselected cohort of over 20,000 genotyped individuals. Of a list of genetic associations curated by NHGRI, we successfully replicated about 75% of the associations that we expected to (based on the number of cases in our cohort and reported odds ratios, and excluding a set of associations with contradictory published evidence). Altogether we replicated over 180 previously reported associations, including many for type 2 diabetes, prostate cancer, cholesterol levels, and multiple sclerosis. We found significant variation across categories of conditions in the percentage of expected associations that we were able to replicate, which may reflect systematic inflation of the effects in some initial reports, or differences across diseases in the likelihood of misdiagnosis or misreport. We also demonstrated that we could improve replication success by taking advantage of our recontactable cohort, offering more in-depth questions to refine self-reported diagnoses. Our data suggest that online collection of self-reported data from a recontactable cohort may be a viable method for both broad and deep phenotyping in large populations.

This study examined the effects of gender identification and implicit and explicit gender stereotyping among undergraduate women enrolled in college-level calculus courses. Women's gender identification and gender stereotyping regarding math aptitude were assessed after the course's first midterm exam. Implicit, but not explicit, stereotyping interacted with gender identification to affect women's performance on their final exams and their desire to pursue math-related careers. Women who showed low gender identification and low implicit gender stereotyping performed best on the final exam, and women with high scores on both factors were the least inclined to pursue math-based careers. Implications for the under-representation of women in math and the hard sciences are discussed.