Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “SNP analysis”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,243 records · Page 69Linked to original sources

Interactions between dietary selenium, copper and sodium nitroprusside, a source of cyanide in growing chicks and laying hens.

1. Diets containing supplements of selenium (10 mg/kg as sodium selenite), copper (500 mg/kg as copper (II) sulphate) and sodium nitroprusside (SNP 300 mg/kg) as a source of cyanide, were fed singly and in all possible combinations to chicks from 14 to 35 d of age. 2. Both copper and SNP individually alleviated the growth depression caused by excess selenium but interacted adversely with one another. The effect of SNP was to decrease liver selenium but copper increased it. Despite this contrast it is suggested that both achieve their beneficial effects through influences on the fraction of liver selenium that can be reduced to volatile forms by hydrochloric acid and zinc. 3. In a second experiment the effects of diets containing additional selenium (2 mg/kg as sodium selenite or selenomethionine) with or without additional copper (100 mg/kg) or SNP (100 mg/kg) on selenium incorporation into eggs were compared. 4. SNP reduced incorporation from selenite whereas copper had no effect. However, copper reduced the incorporation from selenomethionine into protein fractions of egg white as much as SNP.

Analysis of Variance↗

Genetic architecture of the APM1 gene and its influence on adiponectin plasma levels and parameters of the metabolic syndrome in 1,727 healthy Caucasians.

The associations of the adiponectin (APM1) gene with parameters of the metabolic syndrome are inconsistent. We performed a systematic investigation based on fine-mapped single nucleotide polymorphisms (SNPs) highlighting the genetic architecture and their role in modulating adiponectin plasma concentrations in a particularly healthy population of 1,727 Caucasians avoiding secondary effects from disease processes. Genotyping 53 SNPs (average spacing of 0.7 kb) in the APM1 gene region in 81 Caucasians revealed a two-block linkage disequilibrium (LD) structure and enabled comprehensive tag SNP selection. We found particularly strong associations with adiponectin concentrations for 11 of the 15 tag SNPs in the 1,727 subjects (five P values <0.0001). Haplotype analysis provided a thorough differentiation of adiponectin concentrations with 9 of 17 haplotypes showing significant associations (three P values <0.0001). No significant association was found for any SNP with the parameters of the metabolic syndrome. We observed a two-block LD structure of APM1 pointing toward at least two independent association signals, one including the promoter SNPs and a second spanning the relevant exons. Our data on a large number of healthy subjects suggest a clear modulation of adiponectin concentrations by variants of APM1, which are not merely a concomitant effect in the course of type 2 diabetes or coronary artery disease.

Adiponectin↗

Estimation of referent cephalometric parameters in dental prosthetics.

Estimation of the inclination of the occlusal plane and its spatial orientation during the insertion of plaster casts in the articulators space, and control during the clinical phase of the prosthetic work, is one of the key problems in dental prosthetics. The aim of this investigation was to compare the relations of the basic roentgencephalometric parameters applied and to determine their reliability. Five angular variables were analysed: OP-MdP, OP-PP, OP-CP, OP-FP and OP-SNP, on a sample of 86 radiographs of subjects with almost normal occlusion by applying basic statistical parameters and the correlation's analysis. The results gave mean values of the investigated variables with estimation of their variability and level of mutual correlation, which can be used when determining individual inclination of the occlusal plane. Parameters FP and SNP showed significant stability and reliability which can be successfully applied in prosthodontics.

Adolescent↗

Identification and analysis of putative regulatory sequences for the MYF5/MYF6 locus in different vertebrate species.

The myogenic factors (MYF) 5 and 6 are integral to the initiation and development of skeletal muscle and to the maintenance of its phenotype. Thus, they are candidate genes for growth- and meat quality-related traits. We performed a comparative sequence analysis of the MYF5/MYF6 locus in swine, cattle, dog, chicken and zebrafish on the basis of structural and functional information from human and mouse. Beside the characterization of upstream regulatory elements recently identified in mice, we demonstrate the existence of further highly conserved elements (E1 to E4) which may play a role in the regulation of MYF5 and MYF6 expression. Comparative sequence analysis of putative regulatory sequences in swine revealed a total of 21 single nucleotide polymorphisms (SNP) including 1 and 6 SNPs new for the promoters of MYF5 and MYF6, respectively. The conserved organization of the locus in vertebrates indicates a common basic mechanism of muscle development. However, the existence of numerous regulatory elements at large distances to MYF5 and MYF6 points to a very complex pattern of the gene regulation with significant differences between species.

Animals↗

Association between insulin-like growth factor I (IGF-I) polymorphisms, circulating IGF-I, and pre- and postnatal growth in two European small for gestational age populations.

The purpose of this study was to assess the association of IGF-I and birth size by studying small for gestational age (SGA) subphenotypes and undertaking more detailed analysis of IGF-I genetic markers. SGA subjects from Haguenau, France (n = 113), and Gothenburg, Sweden (n = 174), were studied. The Swedish subjects were subphenotyped according to postnatal growth (114 short SGA and 60 SGA catch-up). IGF-I dinucleotide repeat and single nucleotide polymorphism (SNP) markers were studied, and haplotypes were generated in the Swedish short SGA group by identity of state. Association analysis was undertaken using the Monte Carlo method of association analysis of multiallelic markers for dinucleotide repeat markers, by exact chi(2) analysis for SNPs and by ANOVA for serum IGF-I levels. IGF-I genotype was associated with the SGA phenotype, in particular with symmetrical SGA and low birth weight, and with IGF-I levels in SGA subjects. Association with postnatal growth was different in the two populations, which may reflect the power of the smaller subphenotype groups. Haplotype analysis in the Swedish short SGA subjects showed that the region of association lay between the promoter and intron 2 of the IGF-I gene. These studies validate the association of the IGF-I gene with birth size and refine the region of association in Swedish short SGA subjects.

Adolescent↗

Characterisation of SNP haplotype structure in chemokine and chemokine receptor genes using CEPH pedigrees and statistical estimation.

Chemokine signals and their cell-surface receptors are important modulators of HIV-1 disease and cancer. To aid future case/control association studies, aim to further characterise the haplotype structure of variation in chemokine and chemokine receptor genes. To perform haplotype analysis in a population-based association study, haplotypes must be determined by estimation, in the absence of family information or laboratory methods to establish phase. Here, test the accuracy of estimates of haplotype frequency and linkage disequilibrium by comparing estimated haplotypes generated with the expectation maximisation (EM) algorithm to haplotypes determined from Centre d'Etude Polymorphisme Humain (CEPH) pedigree data. To do this, they have characterised haplotypes comprising alleles at 11 biallelic loci in four chemokine receptor genes (CCR3, CCR2, CCR5 and CCRL2), which span 150 kb on chromosome 3p21, and haplotyes of nine biallelic loci in six chemokine genes [MCP-1(CCL2), Eotaxin(CCL11), RANTES(CCL5), MPIF-1(CCL23), PARC(CCL18) and MIP-1alpha(CCL3)] on chromosome 17q11-12. Forty multi-generation CEPH families, totalling 489 individuals, were genotyped by the TaqMan 5'-nuclease assay. Phased haplotypes and haplotypes estimated from unphased genotypes were compared in 103 grandparents who were assumed to have mated at random. For the 3p21 single nucleotide polymorphism (SNP) data, haplotypes determined by pedigree analysis and haplotypes generated by the EM algorithm were nearly identical. Linkage disequilibrium, measured by the D' statistic, was nearly maximal across the 150 kb region, with complete disequilibrium maintained at the extremes between CCR3-Y17Y and CCRL2-I243V. D'-values calculated from estimated haplotypes on 3p21 had high concordance with pairwise comparisons between pedigree-phased chromosomes. Conversely, there was less agreement between analyses of haplotype frequencies and linkage disequilibrium using estimated haplotypes when compared with pedigree-phased haplotypes of SNPs on chromosome 17q11-12. These results suggest that, while estimations of haplotype frequency and linkage disequilibrium may be relatively simple in the 3p21 chemokine receptor cluster in population samples, the more complex environment on chromosome 17q11-12 will require a higher resolution haplotype analysis.

Algorithms↗

Loss-of-heterozygosity analysis of small-cell lung carcinomas using single-nucleotide polymorphism arrays.

Human cancers arise by a combination of discrete mutations and chromosomal alterations. Loss of heterozygosity (LOH) of chromosomal regions bearing mutated tumor suppressor genes is a key event in the evolution of epithelial and mesenchymal tumors. Global patterns of LOH can be understood through allelotyping of tumors with polymorphic genetic markers. Simple sequence length polymorphisms (SSLPs, or microsatellites) are reliable genetic markers for studying LOH, but only a modest number of SSLPs are used in LOH studies because the genotyping procedure is rather tedious. Here, we report the use of a highly parallel approach to genotype large numbers of single-nucleotide polymorphisms (SNPs) for LOH, in which samples are genotyped for nearly 1,500 loci by performing 24 polymerase chain reactions (PCR), pooling the resulting amplification products and hybridizing the mixture to a high-density oligonucleotide array. We characterize the results of LOH analyses on human small-cell lung cancer (SCLC) and control DNA samples by hybridization. We show that the patterns of LOH are consistent with those obtained by analysis with both SSLPs and comparative genomic hybridization (CGH), whereas amplifications rarely are detected by the SNP array. The results validate the use of SNP array hybridization for tumor studies.

Alleles↗

A strategy for detection of known and unknown SNP using a minimum number of oligonucleotides applicable in the clinical settings.

Detection of unknown single nucleotide polymorphism (SNP) relies on large scale sequencing expeditions of genomic fragments or complex high-throughput chip technology. We describe a simplified strategy for fluorimetric detection of known and unknown SNP by proportional hybridization to oligonucleotide arrays based on optimization of the established principle of signal loss or gain that requires a drastically reduced number of matched or mismatched probes. The array consists of two sets of 18-mer oligonucleotide probes. One set includes overlapping oligos with 4-nucleotide tiling representing an arbitrarily selected "consensus" sequence (consensus-oligos), the other includes oligos specific for known SNP within the same genomic region (variant-oligos). Fluorescence-labeled DNA amplified from a homozygous source identical to the consensus represents the reference target and is co-hybridized with a differentially-labeled test sample. Lack of hybridization of the test sample to consensus- with simultaneous hybridization to variant-oligos designates a known allele. Lack of hybridization to consensus- and variant-oligos indicates a new allele. Detection of unknown variants in heterozygous samples depends upon fluorimetric analysis of signal intensity based on the principle that homozygous samples generate twice the amount of signal. This method can identify unknown SNP in heterozygous conditions with a sensitivity of 82% and specificity of 90%. This strategy should dramatically increase the efficiency of SNP detection throughout the human genome and will decrease the cost and complexity of applying genomic wide analysis in the context of clinical trials.

Journal Article↗

Experimental study of recombinant eukaryotic expression vector of human eNOS in ECV304.

BACKGROUND AND PURPOSE: Gene transfer with recombinant non-viral vectors encoding vasodilator proteins, such as endothelial nitric oxide synthase (eNOS), maybe a preferential choice in gene therapy of artery restenosis following angioplasty, stent or anastomosis. However, the transfection rate of a non-viral vector, the harmful effects of eNOS transfection on endothelial cells (EC) and the control release of nitric oxide (NO) have been controversial. We designed the eukaryotic expression vector pcDNA3.1-eNOS to study the regulated expression of eNOS (in the presence of various chemical agents) and to evaluate the exogenous NO effect on EC proliferation in vitro. METHODS: The full-length human eNOS cDNA was inserted into the EcoRI cloning site of the pcDNA3.1 expression plasmid and the eNOS direction was tested by restriction enzyme digestion with XhoI to construct recombinant pcDNA3.1-eNOS. After co-transfection of pcDNA3.1-eNOS with pcDNA3.0-EGFP mediated by cationic liposomes into Human umbilical vein endothelial cells (ECV304), the transfection rate and the effect on ECV304 proliferation were calculated by fluorescence microscopy and flowcytometry. eNOS mRNA and protein were detected by reverse transcription-PCR (RT-PCR) and immunofluorescence, respectively. The eNOS activity, NO release and changes of the relevant cells growth curve were assessed after treating the transfected cells with four independent factors including ie Ca2+, L-arginine (L-Arg), Ethylene Diamine Tetraacetic Acid (EDTA) and N-nitro-L-arginine methylester (L-NAME). In addition, we examined the non-transfected cells status by isolated sodium nitroprusside (SNP) treatment. RESULT: eNOS cDNA was inserted into pcDNA3.1 in the proper direction. RT-PCR analysis showed that pcDNA3.1-eNOS transfected cells could express eNOS mRNA. The rate of eNOS transfection was 39.6 +/- 3.4%. Immunofluorescence staining displayed that subcellular localisation of eNOS was most prominent in plasma membrane and perinuclear regions of the cell. The eNOS activity of eNOS transfected cells had not increased significantly, whereas, in the presence of Ca2+, L-Arg, EDTA, and L-NAME, the eNOS activity was 96.98 +/- 13.47, 32.57 +/- 6.39, 11.63 +/- 3.02, 15.56 L 7.34 U/ml respectively and the NO level was 55.34 +/- 11.19, 9.43 +/- 4.51, 2.63 +/- 1.41, 3.73 +/- 1.65 mmol/L, respectively. Meanwhile, the growth curves of EC shifted. SNP also had obvious growth-inhibiting effects on the cells. Together, the ECV304 growth curve went downward in a NO concentration-dependent manner. CONCLUSION: Eukaryotic expression vector pcDNA3.1-eNOS was constructed successfully with the ability to express human eNOS mRNA and protein in EC effectively. The activity of eNOS in EC could be regulated by certain exogenous factors. Ca2+ was an important factor promoting NO release and excess NO had a cytotoxic effect on EC in vitro. Controlled release of NO in vivo and polygenic measurements might be considered in more clinical gene therapy studies.

Cell Line↗

Identification of new single-nucleotide polymorphisms in the thrombin receptor gene and their effects on coronary artery diseases in Koreans.

1. The thrombin receptor (the protease-activated receptor-1; PAR-1) is located on vascular cells as well as platelets and may play important roles in atherosclerotic disorders, such as coronary artery diseases (CAD). In the present study, we searched for genetic polymorphisms of the PAR-1 gene and evaluated their effects on CAD by association analysis. 2. We identified six polymorphisms in the 5'-untranslated region of the PAR-1 gene by polymerase chain reaction-single-strand conformation polymorphism (PCR-SSCP); five single-nucleotide polymorphisms (SNP) at -2355 (A to G), -2333 (T to G), -1428 (G to A), -1071 (C to T) and -561 (A to G) and a simple sequence repeat (SSR) polymorphism between -1935 and -1841. Five SNP were in strong linkage disequilibrium with each other to make three major haplotypes, the frequency of which was over 90% of all possible haplotypes. 3. For association analysis, 150 patients who had CAD (CAD+), 58 subjects who had no stenosis on the coronary angiogram and 186 reference subjects who had no clinical evidence of CAD were used from the Korean population. The genotype frequencies of the SNP were in Hardy-Weinberg equilibrium, except A-561G in CAD+. The association of these SNP as well as of the SSR with CAD was not evident. This result suggests no major roles of the PAR-1 gene in CAD in Koreans.

5' Untranslated Regions↗

A putative polymorphic Val44Ala variation in the synphilin-1 gene is undetectable in Japanese sporadic Parkinson's disease patients.

Recently, a novel protein-interaction partner of alpha-synuclein, designated synphilin-1, is identified as a constituent of Lewy bodies (LB) in Parkinson's disease (PD) brains. To investigate an involvement of genetic variations of synphilin-1 in development of sporadic PD, a possible single nucleotide polymorphism (SNP) of T131C corresponding to a valine (Val) to alanine (Ala) substitution at codon 44 in exon 3 of the synphilin-1 gene was studied in a Japanese population of 55 patients with sporadic PD and 61 patients with non-PD by direct sequencing analysis. All 116 subjects showed a homozygosity of Val at codon 44 in the synphilin-1 gene, suggesting that this SNP is unlikely to affect genetic susceptibility to sporadic PD in the Japanese population.

Aged↗

Haplotype-based quantitative trait mapping using a clustering algorithm.

BACKGROUND: With the availability of large-scale, high-density single-nucleotide polymorphism (SNP) markers, substantial effort has been made in identifying disease-causing genes using linkage disequilibrium (LD) mapping by haplotype analysis of unrelated individuals. In addition to complex diseases, many continuously distributed quantitative traits are of primary clinical and health significance. However the development of association mapping methods using unrelated individuals for quantitative traits has received relatively less attention. RESULTS: We recently developed an association mapping method for complex diseases by mining the sharing of haplotype segments (i.e., phased genotype pairs) in affected individuals that are rarely present in normal individuals. In this paper, we extend our previous work to address the problem of quantitative trait mapping from unrelated individuals. The method is non-parametric in nature, and statistical significance can be obtained by a permutation test. It can also be incorporated into the one-way ANCOVA (analysis of covariance) framework so that other factors and covariates can be easily incorporated. The effectiveness of the approach is demonstrated by extensive experimental studies using both simulated and real data sets. The results show that our haplotype-based approach is more robust than two statistical methods based on single markers: a single SNP association test (SSA) and the Mann-Whitney U-test (MWU). The algorithm has been incorporated into our existing software package called HapMiner, which is available from our website at http://www.eecs.case.edu/~jxl175/HapMiner.html. CONCLUSION: For QTL (quantitative trait loci) fine mapping, to identify QTNs (quantitative trait nucleotides) with realistic effects (the contribution of each QTN less than 10% of total variance of the trait), large samples sizes (>or= 500) are needed for all the methods. The overall performance of HapMiner is better than that of the other two methods. Its effectiveness further depends on other factors such as recombination rates and the density of typed SNPs. Haplotype-based methods might provide higher power than methods based on a single SNP when using tag SNPs selected from a small number of samples or some other sources (such as HapMap data). Rank-based statistics usually have much lower power, as shown in our study.

Algorithms↗

Analysis of SNPs in pooled DNA: a decision theoretic model.

Systematic analysis of the genetic background of complex diseases using single nucleotide polymorphisms (SNPs) affords a tremendous amount of genotypings. To reduce the amount of genotypings necessary and hence the overall cost of a case-control study with SNPs, the genotyping is often performed in two stages. In the first, the DNA of all cases and all controls are mixed into two pools and genotyped for each SNP. The frequency of both alleles is determined in both pooled DNA samples. If different frequencies are observed in the pools of cases and controls, genotyping is performed individually in the second stage and analyzed conventionally. However, so far no well-founded algorithm is available to guide the decision on whether to genotype a SNP individually. In this report, an approach is introduced for the decision on individual genotyping based on the results from pooled DNA. The analysis is modeled as a decision process with the specific goal to decide on whether to genotype a specific SNP individually. For a given situation, the resulting decision criteria are aimed to be optimal for those conducting the study. Different loss functions and decision rules are presented. Using Monte-Carlo simulations, we show that for a given situation, the genotyping rates and hence the costs can be reduced remarkably while maintaining acceptable overall error rates.

Case-Control Studies↗

The effect of intravesical sodium nitroprusside on idiopathic detrusor overactivity.

Although nitric oxide (NO) plays an important role in the urethra and outlet region of the bladder, the role of this inhibitory neurotransmitter in the human detrusor remains unclear. We conducted a prospective, randomised, open study on 31 patients with urodynamically proven idiopathic detrusor overactivity in order to examine the effects of intravesical administration of the NO donor sodium nitroprusside (SNP) on detrusor overactivity. Thirty-one consecutive patients (14 male, 17 female; mean age 53.0+/-2.7 years) with idiopathic detrusor overactivity diagnosed by pressure-flow analysis were included in this study. The patients were randomised into two groups. Cystometries were performed with normal saline in the control group ( n=10) and with 7.2 mM SNP solution (2.16 mg/ml) in the study group ( n=21). We urodynamically investigated sensation, maximal cystometric capacity, compliance, instability index, amplitude and frequency of involuntary contractions. No statistically significant differences was found between the first (pressure-flow) and second (saline or SNP cystometry) urodynamic values in the control and study groups (P>0.05). We have demonstrated that SNP does not have any effect on uninhibited bladder contractions. These results suggest that the intravesical administration of SNP is not an effective treatment for detrusor overactivity.

Blood Pressure↗

The interaction of four genes in the inflammation pathway significantly predicts prostate cancer risk.

It is widely hypothesized that the interactions of multiple genes influence individual risk to prostate cancer. However, current efforts at identifying prostate cancer risk genes primarily rely on single-gene approaches. In an attempt to fill this gap, we carried out a study to explore the joint effect of multiple genes in the inflammation pathway on prostate cancer risk. We studied 20 genes in the Toll-like receptor signaling pathway as well as several cytokines. For each of these genes, we selected and genotyped haplotype-tagging single nucleotide polymorphisms (SNP) among 1,383 cases and 780 controls from the CAPS (CAncer Prostate in Sweden) study population. A total of 57 SNPs were included in the final analysis. A data mining method, multifactor dimensionality reduction, was used to explore the interaction effects of SNPs on prostate cancer risk. Interaction effects were assessed for all possible n SNP combinations, where n = 2, 3, or 4. For each n SNP combination, the model providing lowest prediction error among 100 cross-validations was chosen. The statistical significance levels of the best models in each n SNP combination were determined using permutation tests. A four-SNP interaction (one SNP each from IL-10, IL-1RN, TIRAP, and TLR5) had the lowest prediction error (43.28%, P = 0.019). Our ability to analyze a large number of SNPs in a large sample size is one of the first efforts in exploring the effect of high-order gene-gene interactions on prostate cancer risk, and this is an important contribution to this new and quickly evolving field.

Case-Control Studies↗

Association of a single-nucleotide polymorphism in low-density lipoprotein receptor-related protein 5 gene with bone mineral density.

Low-density lipoprotein receptor-related protein 5 (LRP5) is an important regulator of osteoblast growth and differentiation, affecting peak bone mass in vertebrates. Here, we analyzed whether the LRP5 gene was involved in the etiology of postmenopausal osteoporosis, using association analysis between bone mineral density (BMD) and an LRP5 gene single-nucleotide polymorphism (SNP). Association of an SNP in the LRP5 gene at IVS17-1677C > A (intron 17) with BMD was examined in 308 postmenopausal Japanese women (65.2 +/- 9.6 years; mean +/- SD). The subjects bearing at least one variant A allele (CA + AA; n = 142) had significantly lower Z scores for total body and lumbar BMD than the subjects with no A allele (CC; n = 166) (total body, 0.08 +/- 1.09 versus 0.50 +/- 1.03; P = 0.0022; lumbar spine, -0.42 +/- 1.43 versus -0.02 +/- 1.42; P = 0.013). These findings suggest that the LRP5 gene is a candidate for the genetic determinants of BMD in postmenopausal women, and this SNP could be useful as a genetic marker for predicting the risk of osteoporosis.

Aged↗

Genotyping of different varicella vaccine strains.

BACKGROUND: Little is known about single nucleotide polymorphism (SNP) in different lots of varicella vaccines distributed by the manufacturers. Recently, the genetic analysis of several genomic regions revealed a polymorphism in different vaccine lots of Varilrix manufactured by GlaxoSmithKline. These findings need attention since mutations in the vaccine strain could result in changes of virulence and efficacy of the vaccine. OBJECTIVES: To identify SNPs in three varicella vaccine lots of Varilrix and to compare the results with that of Varivax as well as the published sequences of the Oka vaccine strain (V-Oka) and its parental virus (P-Oka). STUDY DESIGN: The open reading frames (ORF) 1, 6, 10, 21, 50, 54, and 62 were analyzed by sequencing of amplified DNA fragments. RESULTS: Wild-type nucleotides identical to that of P-Oka and/or the European wild-type reference strain Dumas and in contrast to V-Oka could be identified in ORF 1 of a Varilrix vaccine lot distributed in 1991. In the ORF 62 probably responsible for attenuation of V-Oka, this vaccine strain contained 16 SNPs which were nearly all wild-type-like. By contrast, different lots of the Varivax vaccine revealed uniform sequencing results. The vaccine Varilrix 1999 showed a high similarity to the Varivax vaccine currently available. CONCLUSIONS: The obvious genetic diversity of different lots of the varicella vaccine Varilrix cannot be explained with the coexistence of several strain variants in the vaccine, but most likely with different seed lot preparations used for vaccine production.

Amino Acid Substitution↗

Multi-ancestral genome-wide association study of chronic pain reveals widespread genetic correlations with mental and physical health traits.

Chronic pain (CP) is common and debilitating, affecting 12-40% of people worldwide. In this study, we conducted a genome-wide association study (GWAS) of CP in the All of Us Research Program across six genetic ancestries (Ntotal = 313 931, Ncase = 64 894, Ncontrol = 249 037). In the cross-ancestral meta-analysis, one locus on chromosome 3 reached genome-wide (GW) significance (&#x3b1; = 5E-08; lead SNP: rs3849410, p = 2.64E-08,). This same lead SNP, rs3849410, also reached GW significance in the European subsample (p = 7.45E-10) and in European females (p = 4.25E-08). Two additional loci, with lead SNPs rs7652179 and rs4760489, reached GW significance (p = 8.57E-09, and 3.07E-08, respectively) in European ancestry. Sex-stratified analyses revealed one locus on chromosome 11 (lead SNP: rs77607049) in males (p = 1.13E-08); in females, two other loci on chromosomes 11 (lead SNP: rs368001205) and 12 were also identified (lead SNP: rs80043169; p = 1.58E-08, 9.14E-09, respectively; p < 2.5E-08). CP was genetically correlated with psychiatric, physical, and immune traits, including anxiety (rg = 0.72, p = 2.00E-46), generalized addiction risk (rg = 0.38, p = 2.08E-17), higher C-reactive protein levels (rg = 0.36, p = 6.38E-22) and greater body mass index (rg = 0.43, p = 8.03E-47). This study represents one of the largest cross-ancestral investigations of the genetics of CP to date and demonstrates shared genetic effects between CP and multiple health conditions. PERSPECTIVE: This article presents multi-ancestral cross-sex and sex-stratified GWAS of chronic pain (CP). One significant cross-ancestral locus and 3 sex-specific loci were identified; a previously published locus for multisite CP met traditional genome-wide significance in the current European ancestry GWAS. This study identifies 4 novel genetic loci associated with CP.

Chronic pain↗