Common Sequence Variants Research Articles

XPD gene polymorphism and colorectal cancer risk.

TO THE EDITOR We examined Rezaei et al's paper (1) and we are interested in the subject. The study was about the functions of repair genes, their mechanisms in cancer development and associated polymorphisms which increase susceptibility to CRC. As we know Single nucleotide polymorphisms (SNPs) are the most common genetic sequence variation in human genome. SNPs are associated with population diversity, disease susceptibility and individual response to medical therapy (2, 3). In the other hand, the development of CRC is associated with environmental factors, genetic susceptibilities, and their interaction (4). Polymorphisms in DNA repair genes contribute to the variations in individual genetic susceptibility to many types of cancers, such as lung cancer, breast cancer and gastric cancer (5–9). The study population of this paper was heterogeneous in terms of colorectal cancer. The authors mentioned that of 88 colorectal cancer patients enrolled in this study, 32 patients (45%) had a positive family history for colorectal cancer in their first-degree relatives. They didn’t determine the type of familial CRC in these

A GWAS sequence variant for platelet volume marks an alternative DNM3 promoter in megakaryocytes near a MEIS1 binding site

AbstractWe recently identified 68 genomic loci where common sequence variants are associated with platelet count and volume. Platelets are formed in the bone marrow by megakaryocytes, which are derived from hematopoietic stem cells by a process mainly controlled by transcription factors. The homeobox transcription factor MEIS1 is uniquely transcribed in megakaryocytes and not in the other lineage-committed blood cells. By ChIP-seq, we show that 5 of the 68 loci pinpoint a MEIS1 binding event within a group of 252 MK-overexpressed genes. In one such locus in DNM3, regulating platelet volume, the MEIS1 binding site falls within a region acting as an alternative promoter that is solely used in megakaryocytes, where allelic variation dictates different levels of a shorter transcript. The importance of dynamin activity to the latter stages of thrombopoiesis was confirmed by the observation that the inhibitor Dynasore reduced murine proplatelet for-mation in vitro.

Common sequence variants in CD36 gene and the levels of triglyceride and high-density lipoprotein cholesterol among ethnic Chinese in Taiwan

BackgroundEvidence of the genetic association between CD36 candidate gene and the risk of metabolic syndrome and its components has been inconsistent. This case–control study assessed the haplotype-tagged SNPs from CD36 on the risk of metabolic syndrome and components.Methods and resultsWe recruited 1,000 cases and age, gender-matched controls were randomly selected from the participants with metabolic syndrome defined by International Diabetes Federation. Overall, the haplotype tagged SNPs of CD36 gene were not related to the risk of metabolic syndrome. For individuals with normal lipid levels, several SNPs were significantly associated with the triglycerides and HDL-cholesterol levels: Subjects with rs3211848 homozygote had a higher triglyceride level (99.16 ± 2.61 mg/dL), compared with non-carriers (89.27 ± 1.45 mg/dL, P = 0.001). In addition, compared with non-carriers, individuals with rs1054516 heterozygous and homozygous genotypes had a significantly lower HDL-cholesterol (46.6 ± 0.46 mg/dL for non-carrier, 44.6 ± 0.36 mg/dL for heterozygous, and 44.3 ± 0.56 mg/dL for homozygous, P = 0.0008).ConclusionThe CD36 gene variants were significantly associated with triglycerides and HDL-cholesterol concentrations among ethnic Chinese in Taiwan.

The influence of VKORC1 and CYP2C9 gene sequence variants on the stability of maintenance phase warfarin treatment

IntroductionA substantial part of the inter-individual variation in vitamin K-antagonist dose can be explained by certain sequence variants in the genes CYP2C9 (NG_008385.1:g.8633C>T or *1/*2, NG_008385.1:g.47639A>C or *1/*3) and VKORC1 (NG_011564.1:g.6399C>T). Patients possessing these variant alleles require lower doses and have increased risk of overanticoagulation. MethodsWe investigated the influence of the above sequence variants on stability of maintenance phase warfarin therapy in a prospective study of 300 consecutive patients followed for one year at an anticoagulant clinic. ResultsPatients having one VKORC1 variant allele (n=144) had a time in therapeutic range of INR (TTR) of 71.4%, significantly lower (p=0.02) than the 76.7% TTR of patients with none (n=96) or two (n=46) variant alleles. Patients carrying the CYP2C9 *3 allele (n=40) trended towards lower TTR than patients without this variant allele (69.8% vs. 74.7%, p=0.09). Six patients possessed two variant alleles of CYP2C9 (*2/*3 or *3/*3) and had significantly lower TTR (60.5% vs. 74.3%, p=0.012) and higher risk of an INR>4.5 (67% vs. 23%, p=0.03) compared with the remaining patients. ConclusionsWe observed modest effects of common gene sequence variants in CYP2C9 and VKORC1 on stability of maintenance phase warfarin therapy. Patients attending an anticoagulant clinic using computer-assisted dosage were safely monitored regardless of these sequence variants, but for the small subgroup of patients with the CYP2C9 genotype *2/*3 or *3/*3, treatment stability was reduced.

Pharmacogenomics in clinical practice and drug development.

Genome-wide association studies (GWAS) of responses to drugs, including clopidogrel, pegylated-interferon and carbamazepine, have led to the identification of specific patient subgroups that benefit from therapy. However, the identification and replication of common sequence variants that are associated with either efficacy or safety for most prescription medications at odds ratios (ORs) >3.0 (equivalent to >300% increased efficacy or safety) has yet to be translated to clinical practice. Although some of the studies have been completed, the results have not been incorporated into therapy, and a large number of commonly used medications have not been subject to proper pharmacogenomic analysis. Adoption of GWAS, exome or whole genome sequencing by drug development and treatment programs is the most striking near-term opportunity for improving the drug candidate pipeline and boosting the efficacy of medications already in use.

Genetic variants in metabolizing genes NQO1, NQO2, MTHFR and risk of prostate cancer: a study from North India

Quinone oxidoreductases (NAD(P)H): quinone oxidoreductase 1 (NQO1) and NRH: quinone oxidoreductase 2 (NQO2) are an antioxidant enzyme, important in the detoxification of environmental carcinogens. Methylene-tetra-hydrofolate reductase (MTHFR), plays a role in folate metabolism and may have oncogenic role through disruption of normal DNA methylation pattern, synthesis, and impaired DNA repair. In a case-control study, genotyping was done in 195 PCa and 250 age matched unrelated healthy controls of similar ethnicity to determine variants in NQO1 exon 4 (C > T, rs4986998), exon 6 (C > T, rs1800566), NQO2 -3423 (G > A, rs2070999) and MTHFR exon 4 (C > T, rs1801133) by PCR-RFLP methods. Heterozygous genotype CT and variant allele career genotype (CT + TT) of NQO1 exon 4 showed increased risk of PCa (OR = 2.06, p = 0.033; OR = 2.02, p = 0.027). Variant allele T also revealed increased risk (OR = 1.87, p = 0.029). Similarly variant genotype TT (OR = 2.71, p = 0.009), combined genotype (CT + TT) (OR = 1.59, p = 0.019) and T allele (OR = 1.63, p = 0.002) of NQO1 exon 6 demonstrated significant risk for PCa. Diplotypes of NQO1 (exon 4 and 6), C-T (OR = 1.56, Pc = 0.007) and T-T (OR = 0.011, Pc = 3.86) was associated with an increased risk for PCa. NQO2 and MTHFR did not show any risk with PCa. Our results strongly support that common sequence variants and diplotypes of NQO1 exon 4 and 6 genes may have role in PCa risk in the North Indian population, indicating the importance of genes involved in metabolism with respect to PCa risk. Additional studies on larger populations are needed to clarify the role of variation in these genes in PCa carcinogenesis.

Genetic variants in potassium channels are associated with type 2 diabetes in a Mongolian population

Recent genome-wide association studies (GWAS) have identified more than 40 common sequence variants associated with type 2 diabetes (T2D). However, the results are not always the same in populations with differing genetic backgrounds. In the present study, we evaluated a hypothesis that a North Asian population living in a geographic area with unusually harsh environmental conditions would develop unique genetic risks. A population-based association study was performed with 21 single-nucleotide polymorphisms (SNPs) in nine genes selected according to the results of GWAS conducted in other populations. The study participants included 393 full-heritage Mongolian individuals (177 diagnosed with T2D and 216 matched controls). Genotyping was performed by TaqMan methodology. The strongest association was detected with SNPs located within the potassium channel-coding genes KCNQ1 (highest odds ratio [OR] = 1.92; P = 3.4 × 10(-5) ) and ABCC8 (OR = 1.79; P = 5 × 10(-4) ). Genetic variants identified as strongly influencing the risk of T2D in other populations (e.g. KCNJ11 or TCF7L2) did not show significant association in Mongolia. The strongest T2D risk-associated SNPs in Mongolians are located within two of three tested potassium channel-coding genes. Accumulated variations in these genes may be related to the exposure to harsh environmental conditions.

Advances in genome-wide association studies on essential hyperten-sion

Since the first genome-wide association study was reported in 2007, hypertension has attracted numerous studies to identify its genetic basis. The first part of the current review summarizes the genetic loci associated with blood pressure/ hypertension identified by genome-wide association studies (GWAS) from January 2007 to September 2011, by race and chromosomal location. In the second part, we stress several important points in GWAS methodology, for example, selecting high-quality phenotypes and using multi-stage study design to increase the power studies to identify loci with minor effect. For statistical analysis, besides multiple testing correction and replication of the GWAS that have been introduced in previous reviews, computer-based genotype imputation has been described for its advantages in compensating GWAS genotyping failures. Although GWAS identifies many unknown genetic variants and improves our understanding for the pathogenesis of hypertension, the loci related to blood pressure / hypertension are common sequence variations with minor effect. The association studies are difficult to be replicated in different populations. Further studies are expected including extensive functional studies and fine mapping using advanced techniques, such as whole genome exon sequencing and pathway analysis, as well as epigenetic study to elucidate the etiology of human essential hypertension.

Nasobiliary Drainage in an Episode of Intrahepatic Cholestasis in a Child With Mild ABCB11 Disease

Nasobiliary Drainage in an Episode of Intrahepatic Cholestasis in a Child With Mild <i>ABCB11</i> Disease

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

As DNA sequencing technology has markedly advanced in recent years2, it has become increasingly evident that the amount of genetic variation between any two individuals is greater than previously thought3. In contrast, array-based genotyping has failed to identify a significant contribution of common sequence variants to the phenotypic variability of common disease4,5. Taken together, these observations have led to the evolution of the Common Disease / Rare Variant hypothesis suggesting that the majority of the "missing heritability" in common and complex phenotypes is instead due to an individual's personal profile of rare or private DNA variants6-8. However, characterizing how rare variation impacts complex phenotypes requires the analysis of many affected individuals at many genomic loci, and is ideally compared to a similar survey in an unaffected cohort. Despite the sequencing power offered by today's platforms, a population-based survey of many genomic loci and the subsequent computational analysis required remains prohibitive for many investigators. To address this need, we have developed a pooled sequencing approach1,9 and a novel software package1 for highly accurate rare variant detection from the resulting data. The ability to pool genomes from entire populations of affected individuals and survey the degree of genetic variation at multiple targeted regions in a single sequencing library provides excellent cost and time savings to traditional single-sample sequencing methodology. With a mean sequencing coverage per allele of 25-fold, our custom algorithm, SPLINTER, uses an internal variant calling control strategy to call insertions, deletions and substitutions up to four base pairs in length with high sensitivity and specificity from pools of up to 1 mutant allele in 500 individuals. Here we describe the method for preparing the pooled sequencing library followed by step-by-step instructions on how to use the SPLINTER package for pooled sequencing analysis (http://www.ibridgenetwork.org/wustl/splinter). We show a comparison between pooled sequencing of 947 individuals, all of whom also underwent genome-wide array, at over 20kb of sequencing per person. Concordance between genotyping of tagged and novel variants called in the pooled sample were excellent. This method can be easily scaled up to any number of genomic loci and any number of individuals. By incorporating the internal positive and negative amplicon controls at ratios that mimic the population under study, the algorithm can be calibrated for optimal performance. This strategy can also be modified for use with hybridization capture or individual-specific barcodes and can be applied to the sequencing of naturally heterogeneous samples, such as tumor DNA.

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

As DNA sequencing technology has markedly advanced in recent years2, it has become increasingly evident that the amount of genetic variation between any two individuals is greater than previously thought3. In contrast, array-based genotyping has failed to identify a significant contribution of common sequence variants to the phenotypic variability of common disease4,5. Taken together, these observations have led to the evolution of the Common Disease / Rare Variant hypothesis suggesting that the majority of the "missing heritability" in common and complex phenotypes is instead due to an individual's personal profile of rare or private DNA variants6-8. However, characterizing how rare variation impacts complex phenotypes requires the analysis of many affected individuals at many genomic loci, and is ideally compared to a similar survey in an unaffected cohort. Despite the sequencing power offered by today's platforms, a population-based survey of many genomic loci and the subsequent computational analysis required remains prohibitive for many investigators.To address this need, we have developed a pooled sequencing approach1,9 and a novel software package1 for highly accurate rare variant detection from the resulting data. The ability to pool genomes from entire populations of affected individuals and survey the degree of genetic variation at multiple targeted regions in a single sequencing library provides excellent cost and time savings to traditional single-sample sequencing methodology. With a mean sequencing coverage per allele of 25-fold, our custom algorithm, SPLINTER, uses an internal variant calling control strategy to call insertions, deletions and substitutions up to four base pairs in length with high sensitivity and specificity from pools of up to 1 mutant allele in 500 individuals. Here we describe the method for preparing the pooled sequencing library followed by step-by-step instructions on how to use the SPLINTER package for pooled sequencing analysis (http://www.ibridgenetwork.org/wustl/splinter). We show a comparison between pooled sequencing of 947 individuals, all of whom also underwent genome-wide array, at over 20kb of sequencing per person. Concordance between genotyping of tagged and novel variants called in the pooled sample were excellent. This method can be easily scaled up to any number of genomic loci and any number of individuals. By incorporating the internal positive and negative amplicon controls at ratios that mimic the population under study, the algorithm can be calibrated for optimal performance. This strategy can also be modified for use with hybridization capture or individual-specific barcodes and can be applied to the sequencing of naturally heterogeneous samples, such as tumor DNA.

Three novel BRCA1/BRCA2 mutations in breast/ovarian cancer families in Croatia

BRCA1 and BRCA2 genes from 167 candidates (145 families) were scanned for mutations. We identified 14 pathogenic point mutations in 17 candidates, 9 in BRCA1 and 5 in BRCA2. Of those, 11 have been previously described and 3 were novel (c.5335C>T in BRCA1 and c.4139_4140dupTT and c.8175G>A in BRCA2). No large deletions or duplications involving BRCA1 and BRCA2 genes were identified. No founder mutations were detected for the Croatian population. Croatia shares most of the mutations with neighboring Slovenia and also with Germany, Austria and Poland.Two common sequence variants in BRCA1, c.2077G>A and c.4956G>A, were found more frequently in mutation carriers compared to healthy controls. No difference in BRCA2 variants was detected between the groups.Haplotype inference showed no difference in haplotype distributions between deleterious mutation carriers and non-carriers in neither BRCA1 nor BRCA2. In silico analyses identified one BRCA1 sequence variant (c.4039A>G) and two BRCA2 variants (c.5986G>A and c.6884G>C) as harmful with high probability, and inconclusive results were obtained for our novel BRCA2 variant c.3864_3866delTAA.Combination of QMPSF and HRMA methods provides high detection rate and complete coverage of BRCA1/2 genes. Benefit of BRCA1/2 mutation testing is clear, since we detected mutations in young unaffected women, who will be closely monitored for breast and ovarian cancer.

Pharmacogenetics of Metabolic Bone Diseases

Individual drug response results to be highly variable among treated patients for many of the most commonly prescribed drugs. Common sequence variants in the human genome are today believed to be the main cause of different individual drug response. Pharmacogenetics applies the principles of both pharmacology and genetics, for the discovery and validation of functional gene polymorphisms that could be relevant in the modulation of the pharmacodynamics and pharmacokinetics of drugs, in order to be able to predict the personal response to drugs both in terms of beneficial and adverse effects. A more and more growing number of pharmacogenetic studies have been performed in the last decade, but, to date, only few of them have validated clinical application. This is even more true in the field of bone disorders in which pharmacogenetic studies are still very limited. This review will offer an overview on current pharmacogenetic applications, especially focusing on pharmacogenetic studies in the field of osteoporosis and metabolic bone diseases.

Association of MTHFR Polymorphisms and Chromosomal Abnormalities in Leukemia

Genetic variation in MTHFR gene might explain the interindividual differences in the reduction of DNA repaired and the increase of chromosome breakage and damage. Nowadays, chromosomal rearrangement is recognized as a major cause of lymphoid malignancies. In addition, the association of MTHFR polymorphisms with aneuploidy was found in several studies, making the MTHFR gene as a good candidate for leukemia etiology. Therefore, in this study, we investigated the common sequence variation, 677C&gt;T and 1298A&gt;C in the MTHFR gene of 350 fixed cell specimens archived after chromosome analysis. The distribution of the MTHFR polymorphisms frequency was compared in leukemic patients with structural chromosome abnormality and chromosome aneuploidy, as well as in those with no evidence of chromosome abnormalities. We observed a significant decrease in the distribution of T allele in 677C&gt;T polymorphisms among patients with chromosomal abnormalities including both structural aberration and aneuploidy. The same significance result also found in patients with structural aberration when compare with the normal karyotype patients. Suggesting that polymorphism in the MTHFR gene was involved in chromosome abnormalities of leukemia. However, further investigation on the correlation with the specific types of chromosomal aberrations is needed.

Association of MTHFR polymorphisms and chromosomal abnormalities in leukemia.

Genetic variation in MTHFR gene might explain the interindividual differences in the reduction of DNA repaired and the increase of chromosome breakage and damage. Nowadays, chromosomal rearrangement is recognized as a major cause of lymphoid malignancies. In addition, the association of MTHFR polymorphisms with aneuploidy was found in several studies, making the MTHFR gene as a good candidate for leukemia etiology. Therefore, in this study, we investigated the common sequence variation, 677C>T and 1298A>C in the MTHFR gene of 350 fixed cell specimens archived after chromosome analysis. The distribution of the MTHFR polymorphisms frequency was compared in leukemic patients with structural chromosome abnormality and chromosome aneuploidy, as well as in those with no evidence of chromosome abnormalities. We observed a significant decrease in the distribution of T allele in 677C>T polymorphisms among patients with chromosomal abnormalities including both structural aberration and aneuploidy. The same significance result also found in patients with structural aberration when compare with the normal karyotype patients. Suggesting that polymorphism in the MTHFR gene was involved in chromosome abnormalities of leukemia. However, further investigation on the correlation with the specific types of chromosomal aberrations is needed.

The Association between a Polygenic Alzheimer Score and Cortical Thickness in Clinically Normal Subjects

Late-onset Alzheimer's disease (AD) is 50-70% heritable with complex genetic underpinnings. In addition to Apoliprotein E (APOE) ε4, the major genetic risk factor, recent genome-wide association studies (GWAS) have identified a growing list of sequence variations associated with the disease. Building on a prior large-scale AD GWAS, we used a recently developed analytic method to compute a polygenic score that involves up to 26 independent common sequence variants and is associated with AD dementia, above and beyond APOE. We then examined the associations between the polygenic score and the magnetic resonance imaging-derived thickness measurements across AD-vulnerable cortex in clinically normal (CN) human subjects (N = 104). AD-specific cortical thickness was correlated with the polygenic risk score, even after controlling for APOE genotype and cerebrospinal fluid (CSF) levels of β-amyloid (Aβ(1-42)). Furthermore, the association remained significant in CN subjects with levels of CSF Aβ(1-)(42) in the normal range and in APOE ε3 homozygotes. The observation that genetic risk variants are associated with thickness across AD-vulnerable regions of interest in CN older individuals, suggests that the combination of polygenic risk profile, neuroimaging, and CSF biomarkers may hold synergistic potential to aid in the prediction of future cognitive decline.

Clinical Considerations of Heritable Factors in Common Heart Failure

Heart failure is a common condition responsible for at least 290 000 deaths each year in the United States alone.1 A small minority of heart failure cases are attributed to Mendelian or familial cardiomyopathies. The majority of systolic heart failure cases are not familial but represent the end result of 1 or many conditions that primarily injure the myocardium sufficiently to diminish cardiac output in the absence of compensatory mechanisms. Paradoxically, because they also injure the myocardium, it is the chronic actions of the compensatory mechanisms that in many instances contribute to the progression from simple cardiac injury to dilated cardiomyopathy and overt heart failure. Thus, the epidemiology of common heart failure appears to be just as sporadic as its major antecedent conditions (atherosclerosis, diabetes, hypertension, and viral myocarditis). Familial trends in preclinical cardiac remodeling2 and risk of developing heart failure3 reveal an important role for genetic modifiers in addition to clinical and environmental factors. Candidate gene studies performed over the past 10 years have identified a few polymorphic gene variants that modify risk or progression of common heart failure.4 Whole-genome sequencing will lead to the discovery of other genetic modifiers that were not candidates.5 The imminent availability of individual whole-genome sequences at a cost competitive with available genetic tests for familial cardiomyopathy will no doubt further expand the list of putative genetic heart failure modifiers. Heart failure risk alleles along with traditional clinical factors will need to be considered by clinical cardiologists in their design of optimal disease surveillance and prevention programs and in individually tailoring heart failure management. The use of individual genetic make-up is likely to have the earliest and greatest impact on managing patients with heart failure by tailoring available pharmacotherapeutics to optimize patient response and minimize adverse effects (ie, the …

A functional haplotype in EIF2AK3, an ER stress sensor, is associated with lower bone mineral density.

EIF2AK3 is a type I transmembrane protein that functions as an endoplasmic reticulum (ER) stress sensor to regulate global protein synthesis. Rare mutations in EIF2AK3 cause Wolcott-Rallison syndrome (OMIM 226980), an autosomal recessive disorder characterized by diabetes, epiphyseal dysplasia, osteoporosis, and growth retardation. To investigate the role of common genetic variation in EIF2AK3 as a determinant of bone mineral density (BMD) and osteoporosis, we sequenced all exons and flanking regions, then genotyped six potentially functional single nucleotide polymorphisms (SNPs) in this gene in 997 Amish subjects for association analysis, and attempted replication in 887 Mexican Americans. We found that the minor allele of a nonsynonymous SNP rs13045 had borderline associations with decreased forearm BMD in both discovery and replication cohorts (unadjusted p = 0.036 and β = -0.007 for the Amish; unadjusted p = 0.031 and β = -0.008 for Mexican Americans). A meta-analysis indicated this association achieved statistical significance in the combined sample (unadjusted p = 0.003; Bonferroni corrected p = 0.009). Rs13045 and three other potentially functional SNPs, a promoter SNP (rs6547787) and two nonsynonymous SNPs (rs867529 and rs1805165), formed two haplotypes: a low-BMD associated haplotype, denoted haplotype B [minor allele frequency (MAF) = 0.311] and a common haplotype A (MAF = 0.676). There were no differences in mRNA expression in lymphoblastoid cell lines between the two haplotypes. However, after treating lymphoblastoid cell lines with thapsigargin to induce ER stress, cell lines with haplotype B showed increased sensitivity to ER stress (p = 0.014) compared with cell lines with haplotype A. Taken together, our results suggest that common nonsynonymous sequence variants in EIF2AK3 have a modest effect on ER stress response and may contribute to the risk for low BMD through this mechanism.

Haplotype structure of cell death-inducing DNA fragmentation factor alpha-like factor A (CIDEA) gene and the association with obesity in Chinese Han population

Objective: To identify common sequence variants (SNPs) in CIDEA in Chinese Han population and to assess the association of the SNPs and the haplotype structure of CIDEA gene with obesity. Methods: Re-sequenced CIDEA gene was conducted in 40 persons recruited at Beijing Xuanwu Hospital. Taq-SNPs were selected and genotyped in a case-control study with 347 subjects. Blood samples of subjects and anthropometric measurements were collected. SPSS 13.0, Haploview 4.0 and Multifactor Dimensionality Reduction (MDR) software were used for statistical analysis.

HIV-1 Reverse Transcriptase Dissociates during Strand Transfer

Steps in the replication of human immunodeficiency virus type 1 (HIV-1) occurring in the virus but not in the host are preferred targets of antiretroviral therapy. Strand transfer is unique; the DNA strand being made by viral reverse transcriptase (RT) is moved from one RNA template position to another. Understanding the mechanism requires knowing whether the RT directly mediates the template exchange or dissociates during the exchange, so that it occurs by polymer dynamics. Earlier work in vitro showed that the presence of an RT-trapping polymer would allow synthesis on the original or donor template but completely block transfer and subsequent synthesis on the second or acceptor template. One interpretation is that the RT must dissociate during transfer, but an alternative is that sequestration of non-polymerizing RTs prevents polymerization-independent ribonuclease H (RNase H) cleavages of the donor template necessary for strand exchange. To resolve this ambiguity, we designed a primer–template system that allows strand transfer without RNase H activity. Using an RNase H negative mutant RT, we showed that a polymer trap still prevented strand transfer. This confirms that RT dissociates during strand transfer. The presence of HIV-1 nucleocapsid protein, which promotes strand exchange, had little effect on this outcome. Additional assays showed that both the wild-type RT and a multiple nucleoside RT inhibitor-resistant HIV-1 RT containing an extended fingers domain, which is characterized by its enhanced primer–template binding affinity, were unable to transfer with the trapping polymer. This implies that common sequence variations among RTs are unlikely to alter dissociation feature.