Defining the role of common variation in the genomic and biological architecture of adult human height

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated approximately 2,000, approximately 3,700 and approximately 9,500 SNPs explained approximately 21%, approximately 24% and approximately 29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

GWAS of 126,559 individuals identifies genetic variants associated with educational attainment

A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) approximately 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for approximately 2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.

Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways

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-kappaB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.

Genome-wide meta-analysis of common variant differences between men and women

The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency >0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P < 5 x 10(-8)) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across ~115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits.

Australia’s first Pharmacist Immunisation Pilot – who did pharmacists jab with a needle again? QPIP2

Introduction. The successful rollout of the Queensland Pharmacist Immunisation Pilot (QPIP1) led to expansion of the pilot into Phase 2 (QPIP2), which saw pharmacists being permitted to vaccinate adults for not only influenza, but also measles and pertussis in community pharmacies. The extremely positive results from QPIP1 paved the way for expanding the scope of pharmacists across Australia. Aims. The aim was to continue to investigate the benefits of trained pharmacists administering vaccinations in a community pharmacy setting. Methods. Participant demographics and previous influenza vaccination experiences were recorded using GuildCare software. Participants also completed a ‘post-vaccination satisfaction survey’ after receiving their vaccination. Results. To date, 22,467 influenza vaccines, 1441 pertussis and 22 measles vaccinations have been administered by pharmacists. Females accounted for 57% of the participants, with the majority of the participants aged between 46-65 years of age (51.2%). It was interesting to note that 18.9% of the participants were eligible to receive a free vaccination from the National Immunisation Program, but still opted to be vaccinated by a pharmacist in a community pharmacy setting. Participants reported a positive experience with the pharmacist vaccination service; reporting they were happy to receive vaccinations from a pharmacy in the future, and being happy to recommend the service to others. Discussion. The overwhelmingly positive uptake of this pharmacist vaccination service is demonstrated by a 100% increase in the number of influenza vaccines administered as part of QPIP1, and the ongoing positive feedback from patients. These findings will continue to pave the way for expanding the scope of practice for pharmacists across the country.

Australia’s first Pharmacists Immunisation Pilot – about the service

Background: The first phase of the Queensland Pharmacist Immunisation Pilot (QPIP) ran between April and August 2014, to pilot pharmacists administering influenza vaccinations for the flu season for the first time in Australia. Aim: An aim was to investigate factors facilitating implementation of a pharmacist vaccination service in the community pharmacy setting. Method: The QPIP pharmacies were divided into two arms; the South East Queensland arm consisting of 51 Terry White Chemists (TWCs), and 29 pharmacies in the North Queensland (NQ) arm. The TWCs featured pharmacies which previously provided a vaccination service and that were experienced with using an online booking system, providing an opportunity to capture booking data. Results: The TWCs delivered 9902 (90%) of the influenza vaccinations in QPIP. Of these, 48.5% of the vaccines were delivered via appointments made using the online booking system, while 13.3% were in-store bookings. Over one-third (38.2%) of the vaccinations delivered in were “walk-ins” where the vaccination was delivered ‘on the spot’ as spontaneous or opportunistic vaccinations. The absence of a booking system meant all vaccinations delivered in the NQ arm were “walk-ins”. The online-booking data showed 10:00 am and Tuesday being the most popular time and day for vaccinations. Patients preferred having their vaccinations in private consultation rooms, over areas which used a screen to partition off a private area. Discussion: The presence of an online booking system appeared to increase the efficiency and penetration of the of vaccine service delivery. Also, as the level of privacy afforded to patients increased, the number of patients vaccinated also increased. Conclusions: As pharmacist-delivered vaccination services start to progressively roll out across Australia; these findings pave the way for more efficient and effective implementation of the service.

FTO genotype is associated with phenotypic variability of body mass index

There is evidence across several species for genetic control of phenotypic variation of complex traits1, 2, 3, 4, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using ~170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype)5, 6, 7, is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7%, corresponding to a difference of ~0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI8, possibly mediated by DNA methylation9, 10. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

Beyond vaccination: The benefits of having a pharmacist behind the syringe

Background: The Queensland Pharmacist Immunisation Pilot which ran in 2014 was Australia’s first to allow pharmacists to administer vaccinations. Aim: An aim of the pilot was to investigate the benefits of trained pharmacists administering vaccinations in a community pharmacy setting. Methods: Participant demographics and previous influenza vaccination experiences were recorded using GuildCare software. Participants also completed a ‘post-vaccination satisfaction survey’ following their influenza vaccination. Results: A total of 10889 participant records and 8737 satisfaction surveys were analysed. Overall, 1.9% of participants lived with a chronic illness, and 22.5% took concomitant medications. As part of the consultation before receiving the influenza vaccination, participants acknowledged the opportunity to discuss other aspects of their health with the pharmacist, including concerns about their general health, allergies, and other medications they were taking. It was worth noting that 17.5% of people would not have received an influenza vaccination if the pharmacist vaccination service was unavailable. Additionally, approximately 10% of all participants were eligible to receive a free vaccination from the National Immunisation Program, but still opted to receive their vaccine from a pharmacist. Conclusion: The findings from this pilot demonstrate the benefit of a pharmacist vaccination program in increasing vaccination rates, and have helped pave the way for expanding the scope of practice for pharmacists.

Who was vaccinated in Australia’s first Pharmacist Immunisation Pilot?

Background: The Queensland Pharmacist Immunisation Pilot which ran in 2014 was Australia’s first to allow pharmacists vaccination. Aim: The aim was to explore demographics of people vaccinated by a pharmacist, and their satisfaction with the service. Method: Demographics and previous influenza vaccination experiences were recorded using GuildCare software, and participants completed a ‘post-vaccination satisfaction survey’ after their influenza vaccination. Results: A total of 10889 participant records were analysed and >8000 participants completed the post-vaccination survey. Males accounted for 37% of participants, with the majority of participants aged between 45-64 years (53%). Overall, 49% of participants had been vaccinated before, the majority at a GP clinic (60%). Most participants reported receiving their previous influenza vaccination from a nurse (61%). Interestingly, 1% thought a pharmacist had administered their previous vaccination, while 7% were unsure who had administered it. It was also of note that approximately 10% of all participants were eligible to receive a free vaccination from the National Immunisation Program, but opted to receive their vaccine in a pharmacy. Overall, 95% were happy to receive their vaccination from a pharmacy in the future and 97% would recommend this service to other people. Conclusion: Participants were overwhelmingly positive in their response to the pharmacist vaccination pilot. These findings have helped pave the way for expanding the scope of practice for pharmacists with the aim to increase vaccination rates across the state.

Who did pharmacists vaccinate in Australia’s first Pharmacist Immunisation Pilot?

Introduction: The Queensland Pharmacist Immunisation Pilot (QPIP) began in April 2014, and was Australia’s first to allow pharmacists vaccination. An aim of QPIP was to investigate participants’ satisfaction with the service, and their overall experience with the service. Method: Patient demographics and previous influenza vaccination experiences were recorded using GuildCare software. After receiving the influenza vaccine from the pharmacist, participants were asked to complete a ‘post-vaccination satisfaction questionnaire’. Results: A total of 10,889 participants received influenza vaccinations from a pharmacist, and >8000 participants completed the post-vaccination survey. Males accounted for 37% of participants, with the majority of participants aged between 45-64 years (53%). Almost half of the participants had been vaccinated before, the majority at a GP clinic (60%), and most participants reported receiving their previous influenza vaccination from a nurse (61%). Interestingly, 7% were unsure which healthcare professional had vaccinated them, and 1% thought a pharmacist had administered their previous vaccination. It was also noteworthy that approximately 10% of all participants were eligible to receive a free vaccination under the National Immunisation Program, but opted to receive their vaccine in a pharmacy. Overall, 95% were happy to receive their vaccination from a pharmacy in the future and 97% would recommend this service to other people. Conclusion: Participants were overwhelmingly positive in their response to the pharmacist vaccination pilot. These findings have paved the way for expanding the scope of practice for pharmacists with the aim to increase vaccination rates across the country. The pilot has now been expanded to include the administration of vaccinations for measles and pertussis.

The health professional behind the syringe: Benefits of a pharmacist vaccination program

Background: The Queensland Pharmacist Immunisation Pilot (QPIP) which ran in 2014 was Australia’s first to allow pharmacists to administer vaccinations. An aim of QPIP was to investigate the benefits of trained pharmacists administering vaccinations in a community pharmacy setting. Methods: Participant demographics and previous influenza vaccination experiences were recorded using GuildCare software. Participants also completed a ‘post-vaccination satisfaction survey’ following their influenza vaccination. Results: A total of 10,889 participant records and 8,737 satisfaction surveys were analysed. Overall, 1.9% of the participants reported living with a chronic illness, and 22.5% were taking concomitant medications. As part of the consultation before receiving the vaccine, participants acknowledged the opportunity to discuss other aspects of their health with the pharmacist, including concerns about their general health, allergies, and other medications they were taking. It was worth noting that 17.5% of people would not have received an influenza vaccination if the QPIP service was unavailable. Additionally, approximately 10% of all participants were eligible to receive a free vaccination from the National Immunisation Program, but still opted to receive their vaccine from a pharmacist. Conclusion: The findings from this pilot demonstrate the benefit of a pharmacist vaccination program in increasing vaccination rates, and have helped pave the way for expanding the scope of practice for pharmacists.

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and approximately 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 x 10(-)(8)), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

A variant in LIN28B is associated with 2D:4D finger-length ratio, a putative retrospective biomarker of prenatal testosterone exposure

The ratio of the lengths of an individual's second to fourth digit (2D:4D) is commonly used as a noninvasive retrospective biomarker for prenatal androgen exposure. In order to identify the genetic determinants of 2D:4D, we applied a genome-wide association approach to 1507 11-year-old children from the Avon Longitudinal Study of Parents and Children (ALSPAC) in whom 2D:4D ratio had been measured, as well as a sample of 1382 12- to 16-year-olds from the Brisbane Adolescent Twin Study. A meta-analysis of the two scans identified a single variant in the LIN28B gene that was strongly associated with 2D:4D (rs314277: p = 4.1 x 10(-8)) and was subsequently independently replicated in an additional 3659 children from the ALSPAC cohort (p = 1.53 x 10(-6)). The minor allele of the rs314277 variant has previously been linked to increased height and delayed age at menarche, but in our study it was associated with increased 2D:4D in the direction opposite to that of previous reports on the correlation between 2D:4D and age at menarche. Our findings call into question the validity of 2D:4D as a simplistic retrospective biomarker for prenatal testosterone exposure.

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

Common variants in the trichohyalin gene are associated with straight hair in Europeans

Hair morphology is highly differentiated between populations and among people of European ancestry. Whereas hair morphology in East Asian populations has been studied extensively, relatively little is known about the genetics of this trait in Europeans. We performed a genome-wide association scan for hair morphology (straight, wavy, curly) in three Australian samples of European descent. All three samples showed evidence of association implicating the Trichohyalin gene (TCHH), which is expressed in the developing inner root sheath of the hair follicle, and explaining approximately 6% of variance (p=1.5x10(-31)). These variants are at their highest frequency in Northern Europeans, paralleling the distribution of the straight-hair EDAR variant in Asian populations.