Unexpected inverse correlation between Native American ancestry and Asian American variants of HPV16 in admixed Colombian cervical cancer cases

Prevalence of human papillomavirus genotypes in women of different ethnicity from rural northwestern Ecuador

BACKGROUND

In Ecuador, cervical cancer is the third most common cancer among women and the second most common cause of cancer-related death in women. Although HPV represents a serious public health problem worldwide, the information about its prevalence and genotypes in remote communities of Ecuador is limited. The aim of this study was to determine the distribution of HPV genotypes among ethnic minority women from two remote communities of the northwestern region of Ecuador: Afro-Ecuadorians and Chachis (Amerindian group).

METHODS

We included 291 women who responded to a short survey and were screened for HPV by the amplification of the L1 gene and a nested multiplex PCR to detect 14 high risk (HR) genotypes. A survey collected information on ethnicity, age, community access, and sexual and gynecological history. We identified risk factors associated with HPV infection and co-infection using multivariate logistic regression to calculate odds ratio (OR) and Wald 95% confidence intervals (CI).

RESULTS

Overall, HPV prevalence in the study cohort was 56%, and the five most common HR-HPV genotypes were HPV-58, -16, -68, -39, and -43; however, the distribution of HPV genotypes varied according to ethnicity. We identified lineage A (European variant) for HPV-16 and sublineage A2 for HPV-58 in both ethnic groups. Adjusting for ethnicity, age, community access, and number of sexual partners, we found that Afro-Ecuadorian women were less likely to have an HPV infection than Chachi women (OR: 0.49, 95% CI: 0.25, 0.96), and that participants in communities only accessible by river had 64% less chances of an HPV infection when compared to women in communities accessible by road (OR: 0.36, 95% CI: 0.19, 0.71), and women with 2 to 3 sexual partners had 2.47 times the odds of HPV infection than participants with 0-1 partners (OR: 2.47, 95% CI: 1.32, 4.6). Similar associations were observed with prevalence of co-infection.

CONCLUSIONS

This study provides baseline knowledge regarding the prevalence and distribution of HPV genotypes in ethnic groups of the northwestern coastal Ecuador and essential information for the implementation of appropriate HPV testing and vaccination program to prevent cervical cancer.

The difference of transcriptome of HPV-infected patients contributes more to the occurrence of cervical cancer than the mutations of E6 and E7 genes in HPV16

Human papillomavirus (HPV) E6 and E7 genes are biomarkers and drivers of the progression of cervical cancer (CxCa). The aim of this study was to investigate the relationship between HPV16 E6, E7 gene mutations and the occurrence and development of CxCa. Cervical exfoliated cells and clinical data of patients with cervical diseases were collected. Sample DNA was extracted, the E6 and E7 gene fragments were amplified by PCR, and the mutations were detected by Sanger sequencing and compared with standard sequences. Microarray was used to sequence the transcriptome of cells. Data of transcriptome analyzed and visualized using R software and its packages. Analysis of clinical characteristics demonstrated the association of HPV16 infection with CxCa (P < .05). Sanger sequencing results showed that the mutation sites of E6 gene included T178G/A, T350G, A131C, and T241G; among these, A131C and T241G were synonymous mutations. The mutation sites of E7 gene included A647G, T846C, G666A, T843C, and T760C, and all of them were synonymous mutations except A647G. There was no significant difference in the distribution of HPV16 E6, E7 mutations among CxCa, cervical intraepithelial neoplasia, and infection groups (P > .05). Compared with the non- CxCa group, gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of differentially expressed genes (DEGs) showed more significant enrichment of DEGs in the biological processes, pathways, and diseases closely related to cancer. Compared with the non-mutation group, the DEGs in the E6, E7 gene mutation group were significantly enriched in the events related to infection and immunity. To summarize, HPV16 may be associated with the occurrence and development of CxCa, but HPV16 E6 and E7 gene mutations have little effect on the occurrence and development of CxCa. Individual differences may have a greater effect on the progression of CxCa.

Human papillomavirus genomics: Understanding carcinogenicity

Human papillomavirus (HPV) causes virtually all cervical cancers and many cancers at other anatomical sites in both men and women. However, only 12 of 448 known HPV types are currently classified as carcinogens, and even the most carcinogenic type - HPV16 - only rarely leads to cancer. HPV is therefore necessary but insufficient for cervical cancer, with other contributing factors including host and viral genetics. Over the last decade, HPV whole genome sequencing has established that even fine-scale within-type HPV variation influences precancer/cancer risks, and that these risks vary by histology and host race/ethnicity. In this review, we place these findings in the context of the HPV life cycle and evolution at various levels of viral diversity: between-type, within-type, and within-host. We also discuss key concepts necessary for interpreting HPV genomic data, including features of the viral genome; events leading to carcinogenesis; the role of APOBEC3 in HPV infection and evolution; and methodologies that use deep (high-coverage) sequencing to characterize within-host variation, as opposed to relying on a single representative (consensus) sequence. Given the continued high burden of HPV-associated cancers, understanding HPV carcinogenicity remains important for better understanding, preventing, and treating cancers attributable to infection.

HPV 18 variants in women with cervical cancer in Northeast Brazil

BACKGROUND

Human Papillomavirus (HPV) is the main etiological factor for the development of cervical cancer. HPV 18 is the second most frequent type, accounting for up to 65% of all cases. HPV intratypic variation may influence the potential for progression to invasive cancer. The aim of this study was to evaluate the prevalence of human papillomavirus 18 intratypic variants in cervical cancer samples from women in the state of Maranhão, Brazil.

METHODS

The study included 118 women over 18 years of age with a diagnosis of cervical cancer. Tumor fragments were collected and subjected to DNA extraction and Polymerase Chain Reaction (PCR) for HPV detection using the PGMY09/11 and GP+5/6 primers. Positive samples were submitted to automated sequencing for viral genotyping. To determine the HPV 18 lineages, positive samples were submitted to PCR, using specific primers to amplify the LCR and E6 regions of HPV 18 virus.

RESULTS

HPV was present in 88 women (73.3%). Of those, 48 (54%) were HPV 16, the most prevalent, followed by 12 (13.6%) HPV 18. Histologically, squamous cell carcinoma was predominant (79.1%). Among the HPV 18 variants identified, 10 (80%) belonged to lineage A, and sublineages A1, A2, A3, and A4. Two (29%) HPV 18 B variant was also detected, with the sublineages B1 and B2. In this study, the C variant was not found. There was no statistically significant association between the HPV 18 lineages found and sociodemographic and lifestyle variables (p > 0.05).

CONCLUSIONS

A higher frequency of HPV 16 and 18 were found in women with cervical cancer in the state of Maranhão, Brazil, with a high prevalence of the lineage A among women with HPV 18.

How infectious diseases arrived in the colonial Americas

Analysis of viral DNA from human remains suggests that the transatlantic slave trade may have introduced new pathogens that contributed to the devastating disease outbreaks in colonial Mexico.

Type 1 diabetes loci display a variety of native American and African ancestries in diseased individuals from Northwest Colombia

BACKGROUND

Type 1 diabetes (T1D) is a complex disease with a higher incidence in Europeans than other populations. The Colombians Living in Medellin (CLM) is admixed with ancestry contributions from Europeans, Native Americans (NAT) and Africans (AFR).

AIM

Our aim was to analyze the genetic admixture component at candidate T1D loci in Colombian individuals with the disease.

METHODS

Seventy-four ancestry informative markers (AIMs), which tagged 41 T1D candidate loci/genes, were tested by studying a cohort of 200 Northwest Colombia diseased individuals. T1D status was classified by testing for glutamic acid decarboxylase (GAD-65 kDa) and protein tyrosine-like antigen-2 auto-antibodies in serum samples. Candidate loci/genes included HLA, INS, PTPN22, CTLA4, IL2RA, SUMO4, CLEC16A, IFIH1, EFR3B, IL7R, NRP1 and RNASEH1, amongst others. The 1,000 genome database was used to analyze data from 94 individuals corresponding to the reference CLM. As the data did not comply with a normal distribution, medians were compared between groups using the Mann-Whitney U-test.

RESULTS

Both T1D patients and individuals from CLM displayed mainly European ancestry (61.58 vs 62.06) followed by Native American (27.34 vs 27.46) and to a lesser extent the AFR ancestry (10.28 vs 10.65) components. However, compared to CLM, ancestry of T1D patients displayed a decrease of NAT ancestry at gene EFR3B (24.30 vs 37.10) and an increase at genes IFIH1 (32.07 vs 14.99) and IL7R (52.18 vs 39.18). Also, for gene NRP1 (36.67 vs 0.003), we observed a non-AFR contribution (attributed to NAT). Autoimmune patients (positive for any of two auto-antibodies) displayed lower NAT ancestry than idiopathic patients at the MHC region (20.36 vs 31.88). Also, late onset patients presented with greater AFR ancestry than early onset patients at gene IL7R (19.96 vs 6.17). An association analysis showed that, even after adjusting for admixture, an association exists for at least seven such AIMs, with the strongest findings on chromosomes 5 and 10 (gene IL7R, P = 5.56 × 10^-6 and gene NRP1, P = 8.70 × 10^-19, respectively).

CONCLUSION

Although Colombian T1D patients have globally presented with higher European admixture, specific T1D loci have displayed varying levels of Native American and AFR ancestries in diseased individuals.

Genetic variations in E6, E7 and the long control region of human papillomavirus type 16 among patients with cervical lesions in Xinjiang, China

Background

Xinjiang is one of the areas with the highest incidence of cervical cancer in China. Genetic variation in Human papillomavirus type 16 (HPV16) may increase the ability of the virus to mediate carcinogenesis and immune escape, which are risk factors for the progression of cervical cancer. We investigated polymorphism in HPV16 and the distribution of its sub-lineages in the region by analyzing the E6, E7 and long control region (LCR) gene sequences from women with HPV16-positive cervical samples in Xinjiang.

Methods

A total of 138 cases of cervical lesions and squamous cell carcinoma with infection of HPV16 virus were collected. The E6 and E7 genes and LCR of HPV16 virus were sequenced and compared with the HPV16 European prototype reference and other HPV16 mutants for single nucleotide polymorphisms. Neighbor-joining phylogenetic trees were constructed using E6, E7 and LCR sequences.

Results

Fourteen missense mutations were found in the E6 gene; the loci with the highest mutation frequency were T350G (36/75, 48%) and T178G (19/75, 25.3%). In the E7 gene, the locus with the highest mutation frequency was A647G (18/75, 24%). A total of 33 polymorphic sites were found in the LCR, of which T7447C (39/95, 40.1%) was the most frequent.

Conclusion

HPV16 in Xinjiang is mainly of the European variant, followed by the Asian variant type; no Africa 1, 2 or Asia–America variant types were found.

Genetic Ancestry and Susceptibility to Late-Onset Alzheimer Disease (LOAD) in the Admixed Colombian Population

INTRODUCTION

Differences in the prevalence of dementia among populations and in the effect of apolipoprotein E (APOE) on the emergence of Alzheimer disease (AD), which is the main type of dementia, have been reported.

METHODS

This study estimated the ancestry of a group of individuals with late-onset Alzheimer disease (LOAD) (N=280) and established whether there were any differences when compared with a control group (N=357) in a sample of the Colombian population.

RESULTS

When the analyses were adjusted for known risk factors such as age, sex, presence of APOE[Latin Small Letter Open E]4, socioeconomic status, educational attainment, and place of birth, African ancestry was associated with an increased LOAD risk (odds ratio: 1.55; 95% confidence interval, 1.09-2.03; P=0.029), whereas Native American ancestry was associated with lower risk (odds ratio: 0.75; 95% confidence interval, 0.61-0.98; P=0.046), for every 10% increase in ancestry. In addition, there were significant differences in the proportion of Native American ancestry between carriers and noncarriers of the APOE[Latin Small Letter Open E]4 allele (Mann-Whitney U test, P=0.047), with noncarriers having higher mean Native American ancestry when compared with carriers.

CONCLUSIONS

Our results are consistent with the presence of variants of African origin in the genome of the Colombian population and different from APOE[Latin Small Letter Open E]4 that represents a risk factor for the development of LOAD, whereas variants of Native American origin may be conferring protection. However, unknown environmental factors or epigenetic differences among continental groups could also explain the observed associations.

Mitochondrial DNA ancestry, HPV infection and the risk of cervical cancer in a multiethnic population of northeastern Argentina

BACKGROUND

Misiones Province in northeastern Argentina is considered to be a region with a high prevalence of HPV infection and a high mortality rate due to cervical cancer. The reasons for this epidemiological trend are not completely understood. To gain insight into this problem, we explored the relationship between mitochondrial DNA (mtDNA) ancestry, HPV infection, and development of cervical lesions/cancer in women from the city of Posadas in Misiones Province.

METHODS

Two hundred and sixty-one women, including 92 cases of patients diagnosed with cervical lesions and 169 controls, were analyzed. mtDNA ancestry was assessed through HVS1 sequencing, while the detection and typing of HPV infection was conducted through nested multiplex PCR analysis. Multivariate logistic regression was conducted with the resulting data to estimate the odds ratios (ORs) adjusted by socio-demographic variables.

RESULTS

The study participants showed 68.6% Amerindian, 26.1% European and 5.3% African mtDNA ancestry, respectively. Multiple regression analysis showed that women with African mtDNAs were three times more likely to develop a cervical lesion than those with Native American or European mtDNAs [OR of 3.8 (1.2-11.5) for ancestry and OR of 3.5 (1.0-12.0) for L haplogroups], although the associated p values were not significant when tested under more complex multivariate models. HPV infection and the development of cervical lesions/cancer were significant for all tested models, with the highest OR values for HPV16 [OR of 24.2 (9.3-62.7)] and HPV-58 [OR of 19.0 (2.4-147.7)].

CONCLUSION

HPV infection remains a central risk factor for cervical cancer in the Posadas population. The potential role of African mtDNA ancestry opens a new avenue for future medical association studies in multiethnic populations, and will require further confirmation in large-scale studies.

Molecular epidemiology and phylogenetic analysis of human papillomavirus infection in women with cervical lesions and cancer from the coastal region of Ecuador

The aim of the present study was to gather information regarding the molecular epidemiology of Human papillomavirus (HPV) and related risk factors in a group of women with low- and high-grade cervical lesions and cancer from the coastal region of Ecuador. In addition, we studied the evolution of HPV variants from the most prevalent types and provided a temporal framework for their emergence, which may help to trace the source of dissemination within the region. We analyzed 166 samples, including 57 CIN1, 95 CIN2/3 and 14 cancer cases. HPV detection and typing was done by PCR-sequencing (MY09/MY11). HPV variants and estimation of the time to most recent common ancestor (tMRCA) was assessed through phylogeny and coalescence analysis. HPV DNA was found in 54.4% of CIN1, 74.7% of CIN2/3 and 78.6% of cancer samples. HPV16 (38.9%) and HPV58 (19.5%) were the most prevalent types. Risk factors for the development of cervical lesions/cancer were the following: three or more pregnancies (OR=4.3), HPV infection (OR=3.7 for high-risk types; OR=3.5 for HPV16), among others. With regard to HPV evolution, HPV16 isolates belonged to lineages A (69%) and D (31%) whereas HPV58 isolates belonged only to lineage A. The period of emergence of HPV16 was in association with human populations (tMRCA=91052 years for HPV16A and 27000 years for HPV16D), whereas HPV58A preceded Homo sapiens evolution (322257 years). This study provides novel data on HPV epidemiology and evolution in Ecuador, which will be fundamental in the vaccine era.

Genetic diversity of human papillomavirus types 35, 45 and 58 in cervical cancer in Brazil

In Brazil, most studies of intra-type variants of human papillomavirus (HPV) have focused on HPV16 and HPV18, but other high-risk HPV types have not been studied. Here, we report the prevalence of lineages and variants of HPV35, HPV45 and HPV58 in cervical cancers from the Amazonian and Southeast Brazilian regions. The most frequent sublineages were A1 for HPV35, B2 for HPV45, and A2 for HPV58. The Southeast region had a higher frequency of the B2 sublineage of HPV45, and for HPV35, the genetic and nucleotide sequence diversity were higher in the Southeast region, suggesting that regional factors are influencing the diversity and lineage prevalence.

Transmission between Archaic and Modern Human Ancestors during the Evolution of the Oncogenic Human Papillomavirus 16

Every human suffers through life a number of papillomaviruses (PVs) infections, most of them asymptomatic. A notable exception are persistent infections by Human papillomavirus 16 (HPV16), the most oncogenic infectious agent for humans and responsible for most infection-driven anogenital cancers. Oncogenic potential is not homogeneous among HPV16 lineages, and genetic variation within HPV16 exhibits some geographic structure. However, an in-depth analysis of the HPV16 evolutionary history was still wanting. We have analyzed extant HPV16 diversity and compared the evolutionary and phylogeographical patterns of humans and of HPV16. We show that codivergence with modern humans explains at most 30% of the present viral geographical distribution. The most explanatory scenario suggests that ancestral HPV16 already infected ancestral human populations and that viral lineages co-diverged with the hosts in parallel with the split between archaic Neanderthal-Denisovans and ancestral modern human populations, generating the ancestral HPV16A and HPV16BCD viral lineages, respectively. We propose that after out-of-Africa migration of modern human ancestors, sexual transmission between human populations introduced HPV16A into modern human ancestor populations. We hypothesize that differential coevolution of HPV16 lineages with different but closely related ancestral human populations and subsequent host-switch events in parallel with introgression of archaic alleles into the genomes of modern human ancestors may be largely responsible for the present-day differential prevalence and association with cancers for HPV16 variants.

The Prevalence of High-Risk HPV Types and Factors Determining Infection in Female Colombian Adolescents

This study reports six HR-HPV types’ infection prevalence discriminated by species and multiple infection in unvaccinated Colombian female adolescents, as well as some factors modulating the risk of infection. HPV DNA for six high-risk viral types was identified in cervical samples taken from 2,134 12–19 year-old females using conventional generic and type-specific PCR. Binomial logistical regression analysis was used for modelling HR-HPV infection and multiple infection risk. The interaction between variables in a stepwise model was also included in such analysis. Viral DNA was detected in 48.97% of the females; 28.52% of them had multiple infections, HPV-16 being the most frequently occurring type (37.44%). Cytological abnormality prevalence was 15.61%. Being over 16 years-old (1.66: 1.01–2.71 95%CI), white ethnicity (4.40: 1.16–16.73 95%CI), having had 3 or more sexual partners (1.77: 1.11–2.81 95%CI) and prior sexually-transmitted infections (STI) (1.65: 1.17–2.32 95%CI) were associated with a greater risk of HPV infection. Having given birth was related to a higher risk of infection by A7 species and antecedent of abortion to less risk of coinfection. Where the females in this study came from also influenced the risk of infection by A7 species as female adolescents from the Andean region had a lower risk of infection (0.42: 0.18–0.99 95%CI). The presence of factors related to risky sexual behaviour in the study population indicated that public health services should pay special attention to female adolescents to modify the risk of infection by high-risk HPV types and decrease their impact on this age group.

HPV16 variants distribution in invasive cancers of the cervix, vulva, vagina, penis, and anus

Human papillomavirus (HPV)16 is the most oncogenic human papillomavirus, responsible for most papillomavirus‐induced anogenital cancers. We have explored by sequencing and phylogenetic analysis the viral variant lineages present in 692 HPV16‐monoinfected invasive anogenital cancers from Europe, Asia, and Central/South America. We have assessed the contribution of geography and anatomy to the differential prevalence of HPV16 variants and to the nonsynonymous E6 T350G polymorphism. Most (68%) of the variance in the distribution of HPV16 variants was accounted for by the differential abundance of the different viral lineages. The most prevalent variant (above 70% prevalence) in all regions and in all locations was HPV16_A1‐3, except in Asia, where HPV16_A4 predominated in anal cancers. The differential prevalence of variants as a function of geographical origin explained 9% of the variance, and the differential prevalence of variants as a function of anatomical location accounted for less than 3% of the variance. Despite containing similar repertoires of HPV16 variants, we confirm the worldwide trend of cervical cancers being diagnosed significantly earlier than other anogenital cancers (early fifties vs. early sixties). Frequencies for alleles in the HPV16 E6 T350G polymorphism were similar across anogenital cancers from the same geographical origin. Interestingly, anogenital cancers from Central/South America displayed higher 350G allele frequencies also within HPV16_A1‐3 lineage compared with Europe. Our results demonstrate ample variation in HPV16 variants prevalence in anogenital cancers, which is partly explained by the geographical origin of the sample and only marginally explained by the anatomical location of the lesion, suggesting that tissue specialization is not essential evolutionary forces shaping HPV16 diversity in anogenital cancers.

HPV16 Sublineage Associations With Histology-Specific Cancer Risk Using HPV Whole-Genome Sequences in 3200 Women

BACKGROUND

HPV16 is a common sexually transmitted infection although few infections lead to cervical precancer/cancer; we cannot distinguish nor mechanistically explain why only certain infections progress. HPV16 can be classified into four main evolutionary-derived variant lineages (A, B, C, D) that have been previously suggested to have varying disease risks.

METHODS

We used a high-throughput HPV16 whole-genome sequencing assay to investigate variant lineage risk among 3215 HPV16-infected women. Using sublineages A1/A2 as the reference, we assessed all variant lineage associations with infection outcome over three or more years of follow-up: 1107 control subjects (

RESULTS

A4 sublineage was associated with an increased risk of cancer, specifically adenocarcinoma (OR = 9.81, 95% CI = 2.02 to 47.69, P = 4.7x10(-03)). Lineage B had a lower risk of CIN3 (OR = 0.51, 95% CI = 0. 28 to 0.91, P = 02) while lineage C showed increased risk (OR = 2.06, 95% CI = 1.09 to 3.89, P = 03). D2/D3 sublineages were strongly associated with an increased risk of CIN3 and cancer, particularly D2 (OR for cancer = 28.48, 95% CI = 9.27 to 87.55, P = 5.0x10(-09)). D2 had the strongest increased risk of glandular lesions, AIS (OR = 29.22, 95% CI = 8.94 to 95.51, P = 2.3x10(-08)), and adenocarcinomas (OR = 137.34, 95% CI = 37.21 to 506.88, P = 1.5x10(-13)). Moreover, the risk of precancer and cancer for specific variant lineages varied by a women's race/ethnicity; those women whose race/ethnicity matched that of the infecting HPV16 variant had an increased risk of CIN3 + (P < 001).

CONCLUSIONS

Specific HPV16 variant sublineages strongly influence risk of histologic types of precancer and cancer, and viral genetic variation may help explain its unique carcinogenic properties.

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Key Words Collapse

MESH Headings

• Adenocarcinoma/ethnology
• Adenocarcinoma/virology
• Adenocarcinoma in Situ/ethnology
• Adenocarcinoma in Situ/virology
• Adult
• Aftercare
• California/epidemiology
• Carcinoma/ethnology
• Carcinoma/virology
• Carcinoma, Squamous Cell/ethnology
• Carcinoma, Squamous Cell/virology
• Female
• Genome
• High-Throughput Nucleotide Sequencing
• Human papillomavirus 16/classification
• Human papillomavirus 16/genetics
• Human papillomavirus 16/pathogenicity
• Humans
• Middle Aged
• Papillomavirus Infections/ethnology
• Papillomavirus Infections/virology
• Phylogeny
• Precancerous Conditions/ethnology
• Precancerous Conditions/virology
• Risk Factors
• Uterine Cervical Neoplasms/ethnology
• Uterine Cervical Neoplasms/virology
• Young Adult
• Uterine Cervical Dysplasia/ethnology
• Uterine Cervical Dysplasia/virology

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Grants

• U01 CA078527 NCI NIH HHS

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Affiliation(s)

Lisa Mirabello Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Meredith Yeager Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Michael Cullen Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Joseph F Boland Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Zigui Chen Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Nicolas Wentzensen Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Xijun Zhang Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Kai Yu Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Qi Yang Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Jason Mitchell Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
David Roberson Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Sara Bass Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Yanzi Xiao Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Laurie Burdett Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Tina Raine-Bennett Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Thomas Lorey Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Philip E Castle Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Robert D Burk Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)
Mark Schiffman Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD (LM, MY, MC, JFB, NW, XZ, KY, QY, JM, DR, SB, LB, YX, MS); Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD (MY, MC, JFB, XZ, QY, JM, DR, SB, LB); Department of Microbiology, The Chinese University of Hong Kong, Hong Kong (ZC); Women's Health Research Institute, Division of Research, Kaiser Permanente Northern California, Oakland CA (TRB); Regional Laboratory, Kaiser Permanente Northern California, Oakland, CA (TL); Department of Epidemiology and Population Health, at Albert Einstein College of Medicine, Bronx, NY (PEC, RDB); Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology and Women's Health, at Albert Einstein College of Medicine, Bronx, NY (RDB)

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Cardio-metabolic parameters are associated with genetic admixture estimates in a pediatric population from Colombia

BACKGROUND

There are different genetic patterns for cardio-metabolic parameters among different populations. Additionally, it has been found that ancestral genetic components (the proportion of Amerindian, European and African) in admixed Latin American populations influence an individual's susceptibility to cardio-metabolic disorders. The aim of this study was to evaluate the effect of ancestral genetic composition on a series of cardio-metabolic risk factors in a young admixed population from Colombia.

RESULTS

In a sample of 853 Colombian youth, 10 to 18 years old, the mean European contribution was 66.6 % (range: 41-82 %), the mean African contribution was 14 % (range: 4-48 %), and the mean Amerindian contribution was 19.4 % (range: 10-35 %) using a panel of 40 autosomal ancestry-informative markers (AIMs). We assessed the degree of association between ancestral African, Amerindian and European genetic components and measures of body mass index, waist circumference, fasting glucose, fasting insulin, insulin resistance, triglycerides, high-density lipoprotein, and systolic and diastolic blood pressure. Two of the nine measures assessed presented a nominal significant association with ancestral components after adjusting for confounding variables: triglyceride levels were associated with the Amerindian component (OR = 1.06, 98.3 % CI = 1.01-1.11, P = 0.002) and systolic blood pressure was associated with the European component (OR = 0.93, 98.3 % CI = 0.87 to 0.99, P = 0.008) and the African component (OR = 1.07, CI = 1.01-1.14 P = 0.008), although it was not significant following a global Bonferroni correction. Additionally, insulin levels and insulin resistance showed associations with the African component.

CONCLUSIONS

Our findings support the idea that an Amerindian ancestral component may act as a risk factor for high triglyceride levels. In addition, an African ancestral component confers a risk for high systolic blood pressure, and a European ancestry serves as a protective factor for this condition in a young admixed population from Colombia. However, these results should be confirmed in a larger population.

Genetic diversity of HPV16 and HPV18 in Brazilian patients with invasive cervical cancer

Cervical cancer is the fourth most common cancer among women, and ∼70-80% of these cancers are associated with two human papillomavirus types: HPV16 and HPV18. Several studies have reported that intra-type diversity is associated with the progression of infection to invasive cancer. Herein, we report the genetic diversity of HPV16 and HPV18 in a cohort of 594 Brazilian women with invasive cervical cancer and describe the prevalence of lineages and intra-type diversity prior to the implementation of the public immunization program in Brazil. HPV detection and genotyping were performed using PCR, PGMY/GP primers, and DNA extracted from fresh tumors. The HPV16 (378 women) and HPV18 (80 women) lineages were identified by PCR and sequencing of the LCR and E6 fragments, followed by SNV comparison and phylogenetic analysis. In our cohort, was found a higher frequency of the lineage A (in 217 women), followed by lineage D (in 97 women) and lineages B and C (in 10 women each) for HPV16; and a higher frequency of lineage A (in 56 women) followed by lineage B (in 15 women) in HPV18. The genetic diversity of HPV16 indicated a recent expansion of specific variants or a selective advantage that is associated with invasive cancer; this pattern was not observed for HPV18.

Human papillomavirus variants among Inuit women in northern Quebec, Canada

Background

Inuit communities in northern Quebec have high rates of human papillomavirus (HPV) infection, cervical cancer and cervical cancer–related mortality as compared to the Canadian population. HPV types can be further classified as intratypic variants based on the extent of homology in their nucleotide sequences. There is limited information on the distribution of intratypic variants in circumpolar areas.

Objective

Our goal was to describe the HPV intratypic variants and associated baseline characteristics.

Design

We collected cervical cell samples in 2002–2006 from 676 Inuit women between the ages of 15 and 69 years in Nunavik. DNA isolates from high-risk HPVs were sequenced to determine the intratypic variant.

Results

There were 149 women that were positive for HPVs 16, 18, 31, 33, 35, 45, 52, 56 or 58 during follow-up. There were 5 different HPV16 variants, all of European lineage, among the 57 women positive for this type. There were 8 different variants of HPV18 present and all were of European lineage (n=21). The majority of samples of HPV31 (n=52) were of lineage B. The number of isolates and diversity of the other HPV types was low. Age was the only covariate associated with HPV16 variant category.

Conclusions

These frequencies are similar to what was seen in another circumpolar region of Canada, although there appears to be less diversity as only European variants were detected. This study shows that most variants were clustered in one lineage for each HPV type.