Candidate SNPs Research Articles

Impact of genetic variants on fentanyl metabolism in major breast surgery patients: a candidate gene association study.

The study aimed to examine the association of two selected candidate SNPs rs2242480 (CYP3A4) and rs1045642 (ABCB1) with metabolic ratio of plasma norfentanyl to fentanyl concentrations in patients undergoing major breast surgeries. The retrospective cross-sectional study was done in 257 female patients. DNA extraction, genotyping of selected SNPs, and drug levels measurement were employed. A total of 257 female patients were recruited with no loss to follow up. There was no significant association between the two mentioned SNPs and the metabolic ratio (p value > 0.05). As an exploratory analysis, there was a moderately significant negative correlation between metabolic ratio and pupillary constriction to fentanyl (r = -0.27; p < 0.001). There was also a weak but significant positive correlation between metabolic ratio and time for first analgesia in the postoperative period (r = 0.17; p = 0.01). There was no significant association with the selected candidate SNPs in CYP3A4 and ABCB1 genes and metabolic ratio of norfentanyl to fentanyl in South Indian patients undergoing major breast surgery.

SNP Polymorphisms Are Associated with Environmental Factors in Sockeye Salmon Populations Across the Northwest Pacific: Insights from Redundancy Analysis.

The SNP variation in sockeye salmon across the Asian part of its range was studied in 23 samples from 16 lake-river systems of the West Pacific Coast to improve understanding of genetic adaptation in response to spawning watersheds conditions. Identification of candidate SNPs and environmental factors that can contribute to local adaptations in sockeye salmon populations was carried out using redundancy analysis (RDA), a powerful tool for landscape genetics proven to be effective in genotype-environment association studies. Climatic and hydrographic indices (7 indices in total), reflecting abiotic conditions in freshwater habitats of sockeye salmon and characterizing the temperature regime in the river basin, its variability during the year, the amount of precipitation, as well as the height of the maximum tide in the estuary, were used as predictor factors. Among the 45 analyzed SNPs, several loci (ALDOB-135, HGFA, and RAG3-93) correlated with predictors gradients along the northwest Pacific coast were identified. The putative candidate loci localized in genes involved in the immune and inflammatory responses, as well as genes encoding temperature-sensitive enzymes and some hormones regulating ion homeostasis in fish during the anadromous migration and smoltification, were potentially associated with environmental conditions in natal rivers. The findings could have implications for aquaculture, conservation, and resource management in the context of global climate change.

Genetic association of missense (rs2919643), intergenic (rs2057178) and a 3’UTR (rs1009170) variant with tuberculosis: A replication study from India

To investigate host genetic susceptibility to tuberculosis (TB), we conducted a replication study focussed on candidate SNPs, previously reported to be associated with TB. We examined nine candidate SNPs and genotyped them in an independent cohort of TB cases and household contacts from West Bengal, India. The association with TB was replicated for rs2919643 (Chr 18), rs2057178 (Chr 11) and rs1009170 (Chr 14). rs2919643-C (p=8.81E-5) was a risk allele and rs2057178-A (p=0.04188) was protective against TB in our population. Association of rs1009170; previously reported by us with TB was also replicated in the new set of samples (p=0.0359). rs2919643 is a missense variant present in linkage disequilibrium with a TB associated synonymous SNP rs61104666. The risk genotype rs2919643-CC was associated with higher levels of plasma RANTES and IL5 in household contacts. rs2919643 is an eQTL for an immunosuppressive gene SIGLEC15 and autophagy related gene EPG5. rs2057178 is an eQTL for a pseudogene and present within weak enhancer marks in the lungs. The genomic locus around this SNP rs1009170 encompasses an active transcription factor peak in CD14+ monocytes and also serves as an eQTL for NDUFB1, ATXN3 and SLC24A4. TB cases with rs1009170-TT genotype showed lower expression of plasma RANTES compared to the heterozygote. All three associated SNPs have putative regulatory role in lungs and immune associated cells and organs which may be relevant to TB pathogenesis.

Genomic signals of adaptation to a natural CO2 gradient over a striking microgeographic scale

Our study explores genomic signs of adaptation in A. lixula to different water pH conditions. To achieve this, we analysed the genomics variation of A. lixula individuals living across a natural pH gradient in Canary Islands, Spain. We use a 2b-RADseq protocol with 74 samples from sites with varying pH levels (from 7.3 to 7.9 during low tide) and included a control site. We identified 14,883 SNPs, with 432 identified as candidate SNPs under selection to pH variations through redundancy analysis. While all SNPs indicated genomic homogeneity, the 432 candidate SNPs under selection displayed genomic differences among sites and along the pH gradient. Out of these 432 loci, 17 were annotated using published A. lixula transcriptomes, involved in biological functions such as growth. Therefore, our findings suggest local adaptation in A. lixula populations to acidification in CO2 vents, even over short distances of 75 m, underscoring their potential resistance to future Ocean Acidification.

Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors, and genetic factors are important determinants of COPD. This study focuses on screening the best predictive models for assessing COPD-associated SNPs and then using the best models to predict potential risk factors for COPD. Healthy subjects (n=290) and COPD patients (n=233) were included in this study, the Agena MassARRAY platform was applied to genotype the subjects for SNPs. The selected sample loci were first screened by logistic regression analysis, based on which the key SNPs were further screened by LASSO regression, RFE algorithm and Random Forest algorithm, and the ROC curves were plotted to assess the discriminative performance of the models to screen the best prediction model. Finally, the best prediction model was used for the prediction of risk factors for COPD. One-way logistic regression analysis screened 44 candidate SNPs from 146 SNPs, on the basis of which 44 SNPs were screened or feature ranked using LASSO model, RFE-Caret, RFE-Lda, RFE-lr, RFE-nb, RFE-rf, RFE-treebag algorithms and random forest model, respectively, and obtained ROC curve values of 0.809, 0.769, 0.798, 0.743, 0.686, 0.766, 0.743, 0.719, respectively, so we selected the lasso model as the best model, and then constructed a column-line graph model for the 25 SNPs screened in it, and found that rs12479210 might be the potential risk factors for COPD. The LASSO model is the best predictive model for COPD and rs12479210 may be a potential risk locus for COPD.

Ferroptosis related CPT1A and GDF15 gene polymorphisms are risk factors for lung adenocarcinoma: A case-control study

BackgroundFerroptosis is not only a consequence of inflammation, but also a dynamic process. Recent bioinformatics analysis suggests that ferroptosis related genes might be associated with lung adenocarcinoma (LUAD). CPT1A and GDF15 are critical for the process of ferroptosis and development of inflammation; however, little study focused on the mutation level of these genes in patients with LUAD. MethodsThe candidate SNPs in CPT1A and GDF15 were genotyped in 320 pairs of LUAD patients and controls using Mass ARRAY platform. Moreover, the different expression of CPT1A and GDF15 in LUAD cases and healthy controls were validated by qRT-PCR and ELISA. ResultsThe rs80356779 G > A, rs3019594 C > T, rs888663 T > G and rs4808793 G > C all exhibited an increased risk of the disease (p < 0.05). Moreover, the rs80356779-GA, rs3019594-TT, rs888663-TG and rs4808793-CC genotypes were all related to different levels of increase in LUAD risk (p < 0.05). Genetic model results showed that rs80356779 G > A, rs888663 T > G and rs4808793 G > C were associated with LUAD susceptibility under dominant and additive models (p < 0.05), while rs3019594 C > T was correlated with an elevated risk of the disease in all three models (p < 0.05). Additionally, patients with rs80356779 G > A and rs3019594 C > T exhibited lower expression and serum concentration of CPT1A compared with wile types, and patients with rs888663 T > G and rs4808793 G > C exhibited higher serum and expression level of GDF15. ConclusionThe results provided new clues for the role of ferroptosis in LUAD and new potential targets for screening of susceptible population.

Investigating the potential impact of ELF3-associated SNPs on chondrocyte inflammation

Objective: Chondrocyte inflammation is a critical factor in degenerative joint diseases, such as osteoarthritis (OA), significantly impairing quality of life through chronic pain and limited mobility. Genetic predisposition is recognized as a critical factor in the progression of chondrocyte inflammation and OA, with particular focus on the role of genetic variants in the expression and regulation of inflammatory mediators. This study aimed to obtain information about the potential roles of a few genes containing ELF3-associated SNPs in the pathogenesis of chondrocyte inflammation. Materials and Methods: GVAT Database was used to select top candidate SNPs associated with ELF3, a cardinal transcription factor in chondrocyte inflammation. Inflammation was induced by IL-1β treatment in differentiated chondrocytes to analyze gene expression patterns. Transcriptome analysis was done by RNA sequencing. Results: The most important SNPs that could potentially affect the binding affinity of ELF3 transcription factor were analyzed. As a result of the analysis, 52% of ELF3-associated SNPs were found in protein-coding regions, 40% in gene-free intergenic regions, and 8% in non-coding RNA sequences. Some of these SNPs are located in regulatory regions (enhancers). A significant increase in expression levels in the ELF3 gene was detected after IL-1β administration, indicating that IL-1β promotes the activity of this transcription factor. mRNA expressions of TLN2, BABAM2, PEPD, and NUDT5 were also increased after IL-1β stimulation. Conclusion: The presence of ELF3-associated SNPs in the enhancer sequences of TLN2 and BABAM2 genes, in addition to the increased expression of these two genes upon IL-1β stimulation, suggested that TLN2 and BABAM2 genes may be associated with the severity of chondrocyte inflammation and OA.

Genome-Wide Association Study (GWAS) for Left Displaced Abomasum in Highly Productive Russian Holstein Cattle.

Left displaced abomasum (LDA) is a multifactorial disease of cattle that occurs mainly during the transition postpartum period and is characterized by a decrease in milk production and an increased risk of culling. Several studies have been conducted confirming the hereditary nature of predisposition to this disease. The aim of our study is to identify genetic associations characterizing the genomic variability of susceptibility to LDA in Holstein cattle of the Leningrad region of the Russian Federation. The objects of this study were 360 highly productive dairy cows divided into two groups: animals with LDA, and healthy ones (control). Runs of homozygosity analysis revealed one ROH on BTA13 that was found to be significantly more prevalent in the group of animals with LDA than in the healthy group. Fourteen candidate SNPs were found to be nominally associated with left displacement of the abomasum (p-value < 1 × 10-4). When performing functional annotation of genes containing associated polymorphisms or located close to them, candidate genes presumably associated with the development of LDA were identified: ABCB11, SRP72, RGS18, SOX4, GSG1L, FBXL19, and PNPLA4.

Development of DNA Markers for Acute Hepatopancreatic Necrosis Disease Tolerance in Litopenaeus vannamei through a Genome-Wide Association Study.

Shrimp aquaculture is facing a serious disease, acute hepatopancreatic necrosis disease (AHPND), caused by Vibrio paraheamolyticus (VpAPHND). For sustainable shrimp aquaculture, massive losses of shrimp infected with VpAPHND must be prevented. Research and selection of shrimp tolerant to VpAPHND infection is a sustainable approach to reducing the risk of AHPND. This study focused on the identification and development of potential DNA markers associated with AHPND using DArT sequencing (DArTSeq) and a genome-wide association study. Three populations of post-larval Litopenaeus vannamei were immersed in VpAPHND to collect susceptible (D) and tolerant (S) samples. The 45 D and 48 S shrimp had their genotypes analyzed using DArTSeq. A total of 108,983 SNPs and 17,212 InDels were obtained from the DArTseq data, while the biallelic 516 SNPs and 2293 InDels were finally filtered with PIC < 0.1, MAF < 0.05, and a call rate ≥ 80%. The filtered variants were analyzed for their association with AHPND tolerance. Although there were no significantly associated SNPs and InDels above the Bonferroni correction threshold, candidate variants, four SNPs and 17 InDels corresponding to p < 0.01, were provided for further validation of the AHPND tolerance trait. The candidate SNPs are located on an exon of the zinc finger protein 239-like gene, an intron of an uncharacterized gene, and in intergenic regions. Most of the candidate InDels are in the intergenic regions, with fewer in the intronic and exonic regions. This study provides information on SNPs and InDels for white shrimp. These markers will support the variant database of shrimp and be useful in shrimp aquaculture for breeding selection.

Candidate SNPs associated with anxiety and depression in children and adolescents in the USH1C gene

Introduction: Anxiety and depression in children and adolescents are growing concerns globally, with significant rates of diagnosis across diverse populations. According to the Centers for Disease Control and Prevention (CDC), approximately 7.1% of children aged 3 to 17 years in the United States have been diagnosed with anxiety, and 3.2% with depression. The aim of this study is to analyze the correlation between SNPs in the USH1C gene and predisposition to anxiety and depression in children and adolescents from specific populations.Methods: Genotypes from the 1000 Genomes Project were used to evaluate SNPs in Southeast Asian and European populations. Linkage disequilibrium (LD) analysis was performed using VcfTools and the biological effects of the SNPs were assessed using the Variant Effect Predictor (VEP).Results: Two SNPs, rs4757538 and rs16934376, were identified, which showed strong LD with SNP rs79878474 in South Asian populations (r² &gt; 0.7), suggesting their possible association with anxiety and depression. Allele frequencies varied significantly between populations. Hardy-Weinberg equilibrium analysis showed significant imbalance at the global level, but not within individual populationsConclusions: The analyzed SNPs might be related to predisposition to anxiety and depression in specific populations. These findings underline the importance of considering genetic diversity in future studies and developing personalized interventions to address these disorders in children and adolescents

Whole-genome resequencing and RNA-seq analysis implicates GPR75 as a potential genetic basis related to retarded growth in South China carp (Cyprinus carpio rubrofuscus)

The south China carp (Cyprinus carpio rubrofuscus) is an indigenous and important fish species, widely cultured in south China. However, part of individuals experienced retarded growth, the genetic basis of which has yet to be elucidated. In this study, whole-genome resequencing of 35 fast-growing and 35 retarded-growing south China carp were conducted to identify promising genes associated with retarded growth. Twelve candidate SNPs were detected and annotated to the Gpr75 gene, which has been reported to be related with body weight through regulating insulin homeostasis. RNA-seq analysis of muscle suggested that differentially expressed genes were significantly enriched in the insulin signaling pathway. Additionally, the fasting serum insulin level was significantly lower while the blood glucose level was significantly higher in the retarded-growing group. Our preliminary study provides insights into the genetic basis underlying the retarded growth and may facilitate further genetic improvement of south China carp.

Genetic Variants can Predict the Outcome of Brace Treatment in Patients With Adolescent Idiopathic Scoliosis.

A genetic case-control study. To investigate the association between AIS progression-associated SNPs reported by GWAS studies and the effectiveness of brace treatment. Bracing is the most effective conservative method to treat adolescent idiopathic scoliosis (AIS). Several factors have been reported to be associated with bracing failure in AIS patients. Genetic markers associated with AIS have potential prognostic value. A retrospective cohort of AIS patients undergoing brace treatment was enrolled in this study and divided into success and failure groups based on treatment outcome. Clinical characteristics of AIS patients were documented. Candidate SNPs were selected from previous GWAS studies of AIS, which were known to be associated with curve progression and validated across diverse populations. Genotype and allele frequencies between the success and failure groups were compared using chi-square analysis. A total of 259 female AIS patients were included in this study, 30.5% of the well-braced patients had curve progression exceeding 5° and 69.5% of the patients undergo an improvement or progression of less than 5°. Allele C of rs10738445 (BNC2) could significantly add to the risk of bracing failure, with odds ratio of 1.59. No significant association with bracing outcomes was found for rs12946942 (SOX9/KCNJ2), rs1978060 (TBX1), rs1017861 (CHD7), and rs35333564 (MIR4300HG). SNP rs10738445 were significantly associated with brace treatment effectiveness. The other four SNPs were not significantly associated with the outcome of bracing. More SNPs and predictors should be included in future study to develop a more accurate predictive model for clinical application.

Genome-wide association study of therapeutic response to statin drugs in cardiovascular disease

Cardiovascular disease (CVD) is one of the main causes of death in the world. The increased level of blood cholesterol is significantly correlated to CVD incidents. Statins are a group of drugs that decrease the synthesis of cholesterol in the liver by inhibiting the final enzyme of the pathway named HMG-CoA reductase. Several investigations showed that different patients give different responses to the administration of statin drugs according to their genetic background. In this research study, using Genome-Wide Association Studies (GWAS) data analysis methods, such as the SimpleM statistical approach and genomic connection matrix, we tried to discover the novel candidate SNPs that were involved in response to statin drugs. The investigation was carried out using 3,221 cardiovascular patients' data about genotypes and phenotypes of two important parameters including total cholesterol, and LDL level, in response to statin administration. Functional annotation of nearest genes to candidate SNPs was also carried out by using comprehensive databases and tools such as BioMart-Ensembl, UCSC, NCBI, and WebGestalt software. Our results represented eight novel SNPs (rs10820084, rs4803750, rs10989887, rs1966503, rs17502794, rs10785232, rs484071, rs4785621) significantly associated with statin response in different individual cardiovascular patients for the first time. In addition, the groups of genes that are close to the SNPs were also represented and evaluated in detail. Our results illustrated that some of the genes such as BAAT, BCL3, and CMTM6 have a direct functional impact on cholesterol level or LDL biosynthesis which confirmed the effects of neighbor SNPs on the response to statin drugs. Today, finding the loci, genes, and molecular mechanisms involved in the response to drugs is of great importance in pharmacogenomics and personalized medicine.

Across two continents: The genomic basis of environmental adaptation in house mice (Mus musculus domesticus) from the Americas.

Replicated clines across environmental gradients can be strong evidence of adaptation. House mice (Mus musculus domesticus) were introduced to the Americas by European colonizers and are now widely distributed from Tierra del Fuego to Alaska. Multiple aspects of climate, such as temperature, vary predictably across latitude in the Americas. Past studies of North American populations across latitudinal gradients provided evidence of environmental adaptation in traits related to body size, metabolism, and behavior and identified candidate genes using selection scans. Here, we investigate genomic signals of environmental adaptation on a second continent, South America, and ask whether there is evidence of parallel adaptation across multiple latitudinal transects in the Americas. We first identified loci across the genome showing signatures of selection related to climatic variation in mice sampled across a latitudinal transect in South America, accounting for neutral population structure. Consistent with previous results, most candidate SNPs were in putatively regulatory regions. Genes that contained the most extreme outliers relate to traits such as body weight or size, metabolism, immunity, fat, eye function, and the cardiovascular system. We then compared these results with the results of analyses of published data from two transects in North America. While most candidate genes were unique to individual transects, we found significant overlap among candidate genes identified independently in the three transects. These genes are diverse, with functions relating to metabolism, immunity, cardiac function, and circadian rhythm, among others. We also found parallel shifts in allele frequency in candidate genes across latitudinal gradients. Finally, combining data from all three transects, we identified several genes associated with variation in body weight. Overall, our results provide strong evidence of shared responses to selection and identify genes that likely underlie recent environmental adaptation in house mice across North and South America.

Testing for variation in photoperiodic plasticity in a butterfly: Inconsistent effects of circadian genes between geographic scales.

The genetic components of the circadian clock have been implicated as involved in photoperiodic regulation of winter diapause across various insect groups, thereby contributing to adaptation to adverse seasonal conditions. So far, the effects of within-population variation in these genes have not been well explored. Here, we present an experimental test of the effects of within-population variation at two circadian genes, timeless and period, on photoperiodic responses in the butterfly Pararge aegeria. While nonsynonymous candidate SNPs in both of these genes have previously shown to be associated with diapause induction on a between-population level, in the present experiment no such effect was found on a within-population level. In trying to reconcile these results, we examine sequence data, revealing considerable, previously unknown protein-level variation at both timeless and period across Scandinavian populations, including variants unique to the population studied here. Hence, we hypothesize that these variants may counteract the previously observed diapause-averting effect of the candidate SNPs, possibly explaining the difference in results between the experiments. Whatever the cause, these results highlight how the effects of candidate SNPs may sometimes vary across genetic backgrounds, which complicates evolutionary interpretations of geographic patterns of genetic variation.

Consequences of domestication in eastern oyster: Insights from whole genomic analyses.

Selective breeding for production traits has yielded relatively rapid successes with high-fecundity aquaculture species. Discovering the genetic changes associated with selection is an important goal for understanding adaptation and can also facilitate better predictions about the likely fitness of selected strains if they escape aquaculture farms. Here, we hypothesize domestication as a genetic change induced by inadvertent selection in culture. Our premise is that standardized culture protocols generate parallel domestication effects across independent strains. Using eastern oyster as a model and a newly developed 600K SNP array, this study tested for parallel domestication effects in multiple independent selection lines compared with their progenitor wild populations. A single contrast was made between pooled selected strains (1-17 generations in culture) and all wild progenitor samples combined. Population structure analysis indicated rank order levels of differentiation as [wild - wild] < [wild - cultured] < [cultured - cultured]. A genome scan for parallel adaptation to the captive environment applied two methodologically distinct outlier tests to the wild versus selected strain contrast and identified a total of 1174 candidate SNPs. Contrasting wild versus selected strains revealed the early evolutionary consequences of domestication in terms of genomic differentiation, standing genetic diversity, effective population size, relatedness, runs of homozygosity profiles, and genome-wide linkage disequilibrium patterns. Random Forest was used to identify 37 outlier SNPs that had the greatest discriminatory power between bulked wild and selected oysters. The outlier SNPs were in genes enriched for cytoskeletal functions, hinting at possible traits under inadvertent selection during larval culture or pediveliger setting at high density. This study documents rapid genomic changes stemming from hatchery-based cultivation of eastern oysters, identifies candidate loci responding to domestication in parallel among independent aquaculture strains, and provides potentially useful genomic resources for monitoring interbreeding between farm and wild oysters.

Identification of a novel QTL for lean meat percentage using imputed genotypes.

Lean meat percentage is a critical production trait in pig breeding systems with direct implications for the sustainability of the industry. In this study, we conducted a genome-wide association study for lean meat percentage using a cohort of 850 Duroc × (Landrace × Yorkshire) crossbred pigs and we identified QTL on SSC3 and SSC18. Based on the predicted effect of imputed variants and using the PigGTEx database of molecular QTL, we prioritized candidate genes and SNPs located within the QTL regions, which may be involved in the regulation of porcine leanness. Our results indicate that a nonsense mutation in ZC3HAV1L on SSC18 has a direct effect on lean meat percentage.

The associations of IGF2, IGF2R and IGF2BP2 gene polymorphisms with gestational diabetes mellitus: A case-control study.

To investigate the associations of Insulin-like growth factor-II (IGF2) gene, Insulin-like growth factor-II receptor (IGF2R) gene and Insulin-like growth factor-II binding protein 2 (IGF2BP2) gene polymorphisms with the susceptibility to gestational diabetes mellitus (GDM) in Chinese population. A total of 1703 pregnant women (835 GDM and 868 Non-GDM) were recruited in this case-control study. All participants underwent prenatal 75 g oral glucose tolerance test (OGTT) examinations during 24-28 gestational weeks at the Maternal and Child Health Hospital of Hubei Province from January 15, 2018 to March 31, 2019. Genotyping of candidate SNPs (IGF2 rs680, IGF2R rs416572, IGF2BP2 rs4402960, rs1470579, rs1374910, rs11705701, rs6777038, rs16860234, rs7651090) was performed on Sequenom MassARRAY platform. Logistic regression analysis was conducted to investigate the associations between candidate SNPs and risk of GDM. In addition, multifactor dimensionality reduction (MDR) method was applied to explore the effects of gene-gene interactions on GDM risk. There were significant distribution differences between GDM group and non-GDM group in age, pre-pregnancy BMI, education level and family history of diabetes (P < 0.05). After adjusted for age, pre-pregnancy BMI, education level and family history of diabetes, there were no significant associations of the candidate SNPs polymorphisms and GDM risk (P > 0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the candidate SNPs (P > 0.05). However, the fasting blood glucose (FBG) levels of rs6777038 CT carriers were significantly lower than TT carriers (4.69±0.69 vs. 5.03±1.57 mmol/L, P < 0.01), and the OGTT-2h levels of rs6777038 CC and CT genotype carriers were significantly lower than TT genotype carriers (8.10±1.91 and 8.08±1.87 vs. 8.99±2.90 mmol/L, P < 0.01). IGF2 rs680, IGF2R rs416572, IGF2BP2 rs4402960, rs1470579, rs11705701, rs6777038, rs16860234, rs7651090 polymorphisms were not significantly associated with GDM risk in Wuhan, China. Further lager multicenter researches are needed to confirm these results.

Positive selection in the genomes of two Papua New Guinean populations at distinct altitude levels.

Highlanders and lowlanders of Papua New Guinea have faced distinct environmental stress, such as hypoxia and environment-specific pathogen exposure, respectively. In this study, we explored the top genomics regions and the candidate driver SNPs for selection in these two populations using newly sequenced whole-genomes of 54 highlanders and 74 lowlanders. We identified two candidate SNPs under selection - one in highlanders, associated with red blood cell traits and another in lowlanders, which is associated with white blood cell count - both potentially influencing the heart rate of Papua New Guineans in opposite directions. We also observed four candidate driver SNPs that exhibit linkage disequilibrium with an introgressed haplotype, highlighting the need to explore the possibility of adaptive introgression within these populations. This study reveals that the signatures of positive selection in highlanders and lowlanders of Papua New Guinea align closely with the challenges they face, which are specific to their environments.

A Cohort Study to Evaluate Genetic Predictors of Aromatase Inhibitor Musculoskeletal Symptoms: Results from ECOG-ACRIN E1Z11.

Aromatase inhibitor (AI)-associated musculoskeletal symptoms (AIMSS) are common and frequently lead to AI discontinuation. SNPs in candidate genes have been associated with AIMSS and AI discontinuation. E1Z11 is a prospective cohort study designed to validate the association between 10 SNPs and AI discontinuation due to AIMSS. Postmenopausal women with stage I to III hormone receptor-positive breast cancer received anastrozole 1 mg daily and completed patient-reported outcome measures to assess AIMSS (Stanford Health Assessment Questionnaire) at baseline, 3, 6, 9, and 12months. We estimated that 40% of participants would develop AIMSS and 25% would discontinue AI treatment within 12 months. Enrollment of 1,000 women with a fixed number per racial stratum provided 80% power to detect an effect size of 1.5 to 4. SNPs were found in ESR1 (rs2234693, rs2347868, and rs9340835), CYP19A1 (rs1062033 and rs4646), TCL1A (rs11849538, rs2369049, rs7158782, and rs7159713), and HTR2A (rs2296972). Of the 970 evaluable women, 43% developed AIMSS and 12% discontinued AI therapy within 12months. Although more Black and Asian women developed AIMSS than White women (49% vs. 39%, P=0.017; 50% vs. 39%, P=0.004, respectively), the AI discontinuation rates were similar across groups. None of the SNPs were significantly associated with AIMSS or AI discontinuation in the overall population or in distinct cohorts. The OR for rs2296972 (HTR2A) approached significance for developing AIMSS. We were unable to prospectively validate candidate SNPs previously associated with AI discontinuation due to AIMSS. Future analyses will explore additional genetic markers, patient-reported outcome predictors of AIMSS, and differences by race.