Cohort Profile: The Socioeconomic Consequences in Adult Life After Childhood Cancer in Scandinavia (SALiCCS) Research Programme

IntroductionThe growing number of survivors of childhood cancer, with many years of life ahead, demonstrates the increasing clinical and public health relevance of investigating the risks of social and socioeconomic impairment after a childhood cancer diagnosis and the life-saving treatment. To enrich understanding of the mental, social and socioeconomic difficulties that childhood cancer survivors may face during their life-course, identify particularly vulnerable survivors and overcome the limitations of previous research, we initiated the Socioeconomic Consequences in Adult Life after Childhood Cancer in Scandinavia (SALiCCS) research programme.MethodsThis Nordic cross-border research programme is a collaboration between the Danish Cancer Society, the Finnish Cancer Registry and Karolinska Institutet to investigate a broad range of mental, social and socioeconomic conditions in long-term childhood cancer survivors in Denmark, Finland and Sweden. SALiCCS is based on a registry-based matched cohort design, comprising five-year survivors of cancer diagnosed at ages 0–19 years (1971–2008 in Denmark, 1971–2009 in Finland, 1971–2011 in Sweden), age-, sex- and country-matched population comparisons and sibling comparisons who were followed over time. Outcomes of interest included mental disorders, educational achievements, employment and profession, family life and the need of social security benefits. Individual-level data linkage among various national registries provided the data for the research programme.ResultsThe SALiCCS core population comprises 21,292 five-year survivors, 103,303 population comparisons and 29,644 siblings as a second comparison group. The most common diagnoses in survivors were central nervous system tumours, leukaemias and lymphomas.DiscussionSALiCCS is the largest, most comprehensive population-based research initiative in this field, based on high-quality registry data with minimal risk of bias. The findings will be informative for evidence-based survivorship care targeting not only somatic late effects but also psychosocial impairments.

Epidemiological Studies of Pan-Azole Resistant Aspergillus fumigatus Populations Sampled during Tulip Cultivation Show Clonal Expansion with Acquisition of Multi-Fungicide Resistance as Potential Driver

Pan-azole resistant isolates are found in clinical and environmental Aspergillus fumigatus (Af) populations. Azole resistance can evolve in both settings, with Af directly targeted by antifungals in patients and, in the environment, Af unintendedly exposed to fungicides used for material preservation and plant disease control. Resistance to non-azole fungicides, including methyl benzimidazole carbamates (MBCs), quinone outside inhibitors (QoIs) and succinate dehydrogenase inhibitors (SDHIs), has recently been reported. These fungicide groups are not used in medicine but can play an important role in the further spread of pan-azole resistant genotypes. We investigated the multi-fungicide resistance status and the genetic diversity of Af populations sampled from tulip field soils, tulip peel waste and flower compost heaps using fungicide sensitivity testing and a range of genotyping tools, including STRAf typing and sequencing of fungicide resistant alleles. Two major clones were present in the tulip bulb population. Comparisons with clinical isolates and literature data revealed that several common clonal lineages of TR34/L98H and TR46/Y121F/T289A strains that have expanded successfully in the environment have also acquired resistance to MBC, QoI and/or SDHI fungicides. Strains carrying multiple fungicide resistant alleles have a competitive advantage in environments where residues of multiple fungicides belonging to different modes of action are present.

Comparing the population structure of the specialist Butler’s gartersnake (Thamnophis butleri) and the generalist eastern gartersnake (Thamnophis sirtalis sirtalis) in Ontario and Michigan

Species differing in life history attributes vary in their responses to features within a shared landscape. We evaluated genetic structure of sympatric gartersnake species in Southwestern Ontario, Canada and south-east Michigan, U.S.A., where habitat fragmentation is high due to agriculture and urbanization. We surveyed genetic structure of the habitat specialist, Butler’s gartersnake (Thamnophis butleri; Cope, 1889) and habitat generalist, eastern gartersnake (Thamnophis sirtalis sirtalis; Linnaeus, 1758) using DNA microsatellites. Bayesian clustering, Discriminant Analysis of Principal Components, and pairwise population comparisons revealed genetic differentiation among three major regional clusters of Butler’s gartersnake with evidence of further division within one. Genetic clustering of Butler’s gartersnake suggest that inhospitable habitat limits dispersal. Eastern gartersnakes showed less structure, with assignment tests implying a single genetic cluster. We found positive significant Mantel’s r for both species in the smallest distance class (<15 kms), but significant isolation by distance for Thamnophis butleri only. These findings together imply that connectivity for eastern gartersnakes is less impacted by habitat loss and fragmentation or that we were less able to detect their effects. Our study shows the value of multispecies comparisons in studies seeking to understand the underlying causes of genetic structure in natural populations.

Whole Mitochondrial Genome Analysis of the Daur Ethnic Minority from Hulunbuir of the Inner Mongolia Autonomous Region, China

Background: Mitochondrial DNA (mtDNA) variations are often associated with bioenergetics, disease, and speciation and can be used to track the history of women. Although advances in massively parallel sequencing (MPS) technology have greatly promoted our understanding of the population’s history (especially genome-wide data and whole Y chromosome sequencing), the whole mtDNA sequence of many important groups has not been fully studied. In this study, we employed whole mtDNA genomes of 209 healthy and unrelated individuals from the Daur group, a Mongolic-speaking representative population of the indigenous groups in the Heilongjiang River basin (also known as the Amur River basin). Results: The dataset presented 127 distinct mtDNA haplotypes, resulting in a haplotype diversity of 0.9933. The majority of haplotypes were assigned to eastern Eurasian-specific lineages, such as D4 (19.62%), B4 (9.09%), D5 (7.66%) and M7 (4.78%). We collected whole mitochondrial genomes from the 1000 Genomes Project, the Human Genome Diversity Project and published papers for population comparisons and phylogenetic analysis, and the results showed that the Daurians do have certain connections with the ancient populations in the Heilongjiang River basin but the matrilineal genetic composition of the Daur group was also greatly influenced by other non-Mongolic groups from neighboring areas. Conclusions: Collectively, the whole mtDNA data generated in the present study will augment the existing mtDNA database and deepen our understanding of the history of the Daurians as well as other populations from northern East Asia.

Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations

Facial morphology is highly variable, both within and among human populations, and a sizable portion of this variation is attributable to genetics. Previous genome scans have revealed more than 100 genetic loci associated with different aspects of normal-range facial variation. Most of these loci have been detected in Europeans, with few studies focusing on other ancestral groups. Consequently, the degree to which facial traits share a common genetic basis across diverse sets of humans remains largely unknown. We therefore investigated the genetic basis of facial morphology in an East African cohort. We applied an open-ended data-driven phenotyping approach to a sample of 2,595 3D facial images collected on Tanzanian children. This approach segments the face into hierarchically arranged, multivariate features that capture the shape variation after adjusting for age, sex, height, weight, facial size and population stratification. Genome scans of these multivariate shape phenotypes revealed significant (p < 2.5 × 10−8) signals at 20 loci, which were enriched for active chromatin elements in human cranial neural crest cells and embryonic craniofacial tissue, consistent with an early developmental origin of the facial variation. Two of these associations were in highly conserved regions showing craniofacial-specific enhancer activity during embryological development (5q31.1 and 12q21.31). Six of the 20 loci surpassed a stricter threshold accounting for multiple phenotypes with study-wide significance (p < 6.25 × 10−10). Cross-population comparisons indicated 10 association signals were shared with Europeans (seven sharing the same associated SNP), and facilitated fine-mapping of causal variants at previously reported loci. Taken together, these results may point to both shared and population-specific components to the genetic architecture of facial variation.

A New Likelihood-based Test for Natural Selection

We present a new statistic for testing for neutral evolution from allele frequency data summarised as a site frequency spectrum, which we call the relative likelihood neutrality test or ρ. Classical methods of testing for natural selection, such as Tajima's D and its relatives, require the null model to have constant population size over time and therefore can confound demographic change with natural selection. ρ can directly incorporate a null hypothesis reflecting general demographic histories. It has a natural Bayesian interpretation as an approximation to the log-probability of the null model, given the data. We use simulations to show that ρ has greater power than Tajima's D to detect departure from neutrality for a range of scenarios of positive and negative selection. We also show how ρ can be adapted to account for sequencing error. Application to the ACKR1 (FYO) gene in humans supported previous studies inferring positive selection in sub-Saharan populations which were based on inter-population comparisons. However, we did not find the signal of selection to be maximal in the region of the FY*O or Duffy-null allele in these populations. We also applied ρ to investigate in greater detail a region on the 2q11.1 band of the human genome that has previously been identified as showing evidence of selection. This was done for a range of populations: for the European populations we incorporated a demographic history with a bottleneck corresponding to the putative out of Africa event. We were able to localise signals of selection to some specific regions and genes. Overall, we suggest that ρ will be a useful tool for identifying genomic regions that may be subject to natural selection.

Pregnancy outcomes in women with neurofibromatosis 1: a Danish population-based cohort study

BackgroundThe probability of a pregnancy, live birth, stillbirth and abortion has never been assessed in women with neurofibromatosis 1 (NF1) in a large population-based study.MethodsWe included 1006 women (15–49 years) registered with NF1 in the Danish National Patient Registry or followed in two national Centers for Rare Diseases and 10 020 women from the Danish population. Information on pregnancy outcomes was ascertained from health registries. Cumulative incidence, mean cumulative count, hazard ratios (HRs) and proportion ratios (PRs) with 95% CIs were calculated.ResultsThe cumulative incidence of a first pregnancy at age 50 years was slightly lower in women with NF1 (74%; 95% CI 70 to 77) than in population comparisons (78%; 95% CI 77 to 79). When all pregnancies were included, two pregnancies were expected per woman at age of 50 years, irrespective of a NF1 diagnosis. The hazard of a pregnancy did not differ between women with NF1 (HR 1.03; 95% CI 0.95 to 1.11) and the comparisons after adjustment for somatic and psychiatric disease. The proportion of pregnancies that resulted in a live birth was 63% (783/1252) among women NF1 and 68% (8432/12 465) among the comparisons, yielding a PR of 0.95 (95% CI 0.90 to 1.00). The proportions of stillbirths (PR 2.83; 95% CI 1.63 to 4.93) and spontaneous abortions (PR 1.40; 95% CI 1.09 to 1.79) were increased in women with NF1.ConclusionsA similar hazard for pregnancy was observed for women with NF1 and population comparisons after adjustment for potential medical consequences of NF1. However, women with NF1 experienced more spontaneous abortions and stillbirths.

Analysis of selection signatures reveals important insights into the adaptability of high-altitude Indian sheep breed Changthangi

Changthangi is a high-altitude sheep breed of India that is adapted to cold and hypoxic climate of Himalayas. In the present study, we analysed population structure of Changthangi and contrasted it with selected Indian and European commercial sheep breeds to detect genomic regions under positive selection. The studied domesticated sheep breeds included Changthangi, Indian Garole, Deccani, Tibetan, Rambouillet and Australian Merino. While the PCA results revealed Changthangi clustered with Tibetan sheep; TREEMIX and ADMIXTURE results also detected the introgression of lowland Indian sheep inheritance in Changthangi. Cross-population comparisons of Changthangi using XP-EHH showed multiple functional regions present on OAR 7, 15 and 16, to be under selection in Changthangi sheep. These regions are related to adaptation to climatic and hypoxic stressors, nervous system and mitochondrial functioning. The genes present in these regions are suitable candidates for future studies on the genetic mechanisms underlying high-altitude adaptation.

The multinomial index: a robust measure of reproductive skew

Inequality or skew in reproductive success (RS) is common across many animal species and is of long-standing interest to the study of social evolution. However, the measurement of inequality in RS in natural populations has been challenging because existing quantitative measures are highly sensitive to variation in group/sample size, mean RS, and age-structure. This makes comparisons across multiple groups and/or species vulnerable to statistical artefacts and hinders empirical and theoretical progress. Here, we present a new measure of reproductive skew, the multinomial index, M , that is unaffected by many of the structural biases affecting existing indices. M is analytically related to Nonacs’ binomial index, B , and comparably accounts for heterogeneity in age across individuals; in addition, M allows for the possibility of diminishing or even highly nonlinear RS returns to age. Unlike B , however, M is not biased by differences in sample/group size. To demonstrate the value of our index for cross-population comparisons, we conduct a reanalysis of male reproductive skew in 31 primate species. We show that a previously reported negative effect of group size on mating skew was an artefact of structural biases in existing skew measures, which inevitably decline with group size; this bias disappears when using M . Applying phylogenetically controlled, mixed-effects models to the same dataset, we identify key similarities and differences in the inferred within- and between-species predictors of reproductive skew across metrics. Finally, we provide an R package, SkewCalc , to estimate M from empirical data.