Biomedical subjects

Deborah A Nickerson

Publications and source records attributed to Deborah A Nickerson.

At least 19 recordsLinked to original sources

PubMed2024

Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas.

Latin Americans are underrepresented in genetic studies, increasing disparities in personalized genomic medicine. Despite available genetic data from thousands of Latin Americans, accessing and navigating the bureaucratic hurdles for consent or access remains challenging. To address this, we introduce the Genetics of Latin American Diversity (GLAD) Project, compiling genome-wide information from 53,738 Latin Americans across 39 studies representing 46 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene flow across the Americas. Additionally, we developed GLAD-match, a simulated annealing-based algorithm, to match the genetic background of external samples to our database, sharing summary statistics (i.e., allele and haplotype frequencies) without transferring individual-level genotypes. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic software in the presence of admixture. By providing this resource, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.

Humans↗

PubMed2006

Association of polymorphisms in the CRP gene with circulating C-reactive protein levels and cardiovascular events.

CONTEXT: C-reactive protein (CRP) is an inflammation protein that may play a role in the pathogenesis of cardiovascular disease (CVD). OBJECTIVE: To assess whether polymorphisms in the CRP gene are associated with plasma CRP, carotid intima-media thickness (CIMT), and CVD events. DESIGN, SETTING, AND PARTICIPANTS: In the prospective, population-based Cardiovascular Health Study, 4 tag single-nucleotide polymorphisms (SNPs) (1919A/T, 2667G/C, 3872G/A, 5237A/G) were genotyped in 3941 white (European American) participants and 5 tag SNPs (addition of 790A/T) were genotyped in 700 black (African American) participants, aged 65 years or older, all of whom were without myocardial infarction (MI) or stroke before study entry. Median follow-up was 13 years (1989-2003). MAIN OUTCOME MEASURES: Baseline CIMT; occurrence of MI, stroke, and CVD mortality during follow-up. RESULTS: In white participants, 461 incident MIs, 491 incident strokes, and 490 CVD-related deaths occurred; in black participants, 67 incident MIs, 78 incident strokes, and 75 CVD-related deaths occurred. The 1919T and 790T alleles were associated with higher CRP levels in white and black participants, respectively. The 3872A allele was associated with lower CRP levels in both populations, and the 2667C allele was associated with lower CRP levels in white participants only. There was no association between CIMT and any CRP gene polymorphism in either population. In white participants, the 1919T allele was associated with increased risk of stroke for TT vs AA (hazard ratio [HR], 1.40; 95% confidence interval [CI], 1.06-1.87) and for CVD mortality (HR, 1.40; 95% CI, 1.10-1.90). In black participants, homozygosity for the 790T allele was associated with a 4-fold increased risk of MI compared with homozygosity for the 790A allele (95% CI, 1.58-10.53). The minor alleles of the 2 SNPs associated with lower plasma CRP concentration in white participants (2667C and 3872A) were associated with decreased risk of CVD mortality. CONCLUSIONS: Genetic variation in the CRP gene is associated with plasma CRP levels and CVD risk in older adults.

Aged↗

PubMed2006

Automating resequencing-based detection of insertion-deletion polymorphisms.

Structural and insertion-deletion (indel) variants have received considerable recent attention, partly because of their phenotypic consequences. Among these variants, the most common are small indels ( approximately 1-30 bp). Identifying and genotyping indels using sequence traces obtained from diploid samples requires extensive manual review, which makes large-scale studies inconvenient. We report a new algorithm, implemented in available software (PolyPhred version 6.0), to help automate detection and genotyping of indels from sequence traces. The algorithm identifies heterozygous individuals, which permits the discovery of low-frequency indels. It finds 80% of all indel polymorphisms with almost no false positives and finds 97% with a false discovery rate of 10%. Additionally, genotyping accuracy exceeds 99%, and it correctly infers indel length in 96% of the cases. Using this approach, we identify indels in the HapMap ENCODE regions, providing the first report of these polymorphisms in this data set.

Algorithms↗

PubMed2006

TagSNP evaluation for the association of 42 inflammation loci and vascular disease: evidence of IL6, FGB, ALOX5, NFKBIA, and IL4R loci effects.

Inflammatory markers have consistently been associated with vascular disease. Evidence of genetic polymorphisms in inflammatory loci that predict severe carotid artery disease (CAAD) would suggest that this relationship is not secondary to other correlated factors, but related to inflammation itself. We examined the full common genetic variation in 42 inflammatory loci for prediction of severe CAAD versus ultrasound proven controls using a tagSNP approach. For selected loci, monocyte RNA levels were contrasted in subjects with and without CAAD. We confirm the association of IL6(-174), FGB (-455), and ALOX5 with CAAD and show that multiple ALOX5 SNPs independently predict CAAD. We provide evidence for previously unreported associations of SNPs in IL4R, NFKBIA, and PLG with CAAD, and weaker evidence for associations with CSF3, IL10RA, and VCAM1. The NFKBIA and IL10RA expression levels significantly differed between subjects with CAAD and controls. These results support a role for genetic variation related to inflammation in CAAD and a causal role for specific gene products.

Aged↗

PubMed2006

Genetic variation is associated with C-reactive protein levels in the Third National Health and Nutrition Examination Survey.

BACKGROUND: Increased serum C-reactive protein (CRP) is an independent risk factor for cardiovascular disease. Previous studies have suggested that genetic variation within the CRP gene is associated with serum CRP. METHODS AND RESULTS: We genotyped CRP genetic variants in 7159 individuals from the Third National Health and Nutrition Examination Survey (NHANES III). NHANES III is American population-based sample linked to hundreds of phenotypes, including CRP; however, the CRP assay used in this survey is not a high-sensitivity CRP assay, and 65% of participants (n=4679) had CRP measurements at or below the level of detection. Despite these limitations, we identified specific CRP single-nucleotide polymorphisms (SNPs) and haplotypes associated with serum CRP levels in the general population. Two variants were associated with increased levels of serum CRP: SNP rs3093058 (in linkage disequilibrium with a CRP promoter SNP rs3093062) in the non-Hispanic black sample and the triallelic promoter SNP rs3091244 in the non-Hispanic black and Mexican American samples. Two other SNPs were associated with decreased levels of serum CRP in either the non-Hispanic black (rs1205 and rs2808630) or Mexican American (rs1205) samples. Three haplotypes inferred from 7 SNPs (ATTGCGA, TTAGCGA, and AAAGAGA) were associated (P < or = 0.01) with increased levels of serum CRP in the non-Hispanic black sample; 2 haplotypes (ATTGCGA and AAAGCGA) were associated (P < 0.05) with increased levels in the Mexican American sample; and 1 haplotype (AAAGCGA) was associated (P < 0.03) with increased levels in the non-Hispanic white sample. Post hoc analysis suggests that the AA genotype of the triallelic SNP rs3091244, after adjustment for covariates, was associated with prevalent coronary heart disease in the non-Hispanic white population sample. CONCLUSIONS: Genetic variation within CRP is associated with serum CRP levels in the general population and may be associated with prevalent coronary heart disease.

Adult↗

PubMed2006

Allele frequency matching between SNPs reveals an excess of linkage disequilibrium in genic regions of the human genome.

Significant interest has emerged in mapping genetic susceptibility for complex traits through whole-genome association studies. These studies rely on the extent of association, i.e., linkage disequilibrium (LD), between single nucleotide polymorphisms (SNPs) across the human genome. LD describes the nonrandom association between SNP pairs and can be used as a metric when designing maximally informative panels of SNPs for association studies in human populations. Using data from the 1.58 million SNPs genotyped by Perlegen, we explored the allele frequency dependence of the LD statistic r(2) both empirically and theoretically. We show that average r(2) values between SNPs unmatched for allele frequency are always limited to much less than 1 (theoretical approximately 0.46 to 0.57 for this dataset). Frequency matching of SNP pairs provides a more sensitive measure for assessing the average decay of LD and generates average r(2) values across nearly the entire informative range (from 0 to 0.89 through 0.95). Additionally, we analyzed the extent of perfect LD (r(2) = 1.0) using frequency-matched SNPs and found significant differences in the extent of LD in genic regions versus intergenic regions. The SNP pairs exhibiting perfect LD showed a significant bias for derived, nonancestral alleles, providing evidence for positive natural selection in the human genome.

Animals↗

PubMed2006

Efficient selection of tagging single-nucleotide polymorphisms in multiple populations.

Common genetic polymorphism may explain a portion of the heritable risk for common diseases, so considerable effort has been devoted to finding and typing common single-nucleotide polymorphisms (SNPs) in the human genome. Many SNPs show correlated genotypes, or linkage disequilibrium (LD), suggesting that only a subset of all SNPs (known as tagging SNPs, or tagSNPs) need to be genotyped for disease association studies. Based on the genetic differences that exist among human populations, most tagSNP sets are defined in a single population and applied only in populations that are closely related. To improve the efficiency of multi-population analyses, we have developed an algorithm called MultiPop-TagSelect that finds a near-minimal union of population-specific tagSNP sets across an arbitrary number of populations. We present this approach as an extension of LD-select, a tagSNP selection method that uses a greedy algorithm to group SNPs into bins based on their pairwise association patterns, although the MultiPop-TagSelect algorithm could be used with any SNP tagging approach that allows choices between nearly equivalent SNPs. We evaluate the algorithm by considering tagSNP selection in candidate-gene resequencing data and lower density whole-chromosome data. Our analysis reveals that an exhaustive search is often intractable, while the developed algorithm can quickly and reliably find near-optimal solutions even for difficult tagSNP selection problems. Using populations of African, Asian, and European ancestry, we also show that an optimal multi-population set of tagSNPs can be substantially smaller (up to 44%) than a typical set obtained through independent or sequential selection.

Algorithms↗

PubMed2006

Direct detection of null alleles in SNP genotyping data.

Pinpointing genetic associations in the human genome relies heavily on the accuracy of the underlying genotype data. Null alleles can generate significant inaccuracies in genotype data and can negatively affect the statistical power of a study. Existing quality control (QC) tests, including tests of Hardy-Weinberg equilibrium, are not sensitive enough to detect the presence of even moderately frequent null alleles in the data. We show that direct analysis of raw data from a quantitative genotyping platform can detect up to 75% of null alleles, even at frequencies below the sensitivity of more traditional methods. Detecting unexpected null alleles not only has benefits in QC of genotype data but may also be valuable in detecting rare, functional null alleles that would otherwise be missed.

Alleles↗

PubMed2006

Allelic spectrum of the natural variation in CRP.

With the recent completion of the International HapMap Project, many tools are in hand for genetic association studies seeking to test the common variant/common disease hypothesis. In contrast, very few tools and resources are in place for genotype-phenotype studies hypothesizing that rare variation has a large impact on the phenotype of interest. To create these tools for rare variant/common disease studies, much interest is being generated towards investing in re-sequencing either large sample sizes of random chromosomes or smaller sample sizes of patients with extreme phenotypes. As a case study for rare variant discovery in random chromosomes, we have re-sequenced approximately 1,000 chromosomes representing diverse populations for the gene C-reactive protein (CRP). CRP is an important gene in the fields of cardiovascular and inflammation genetics, and its size (approximately 2 kb) makes it particularly amenable medical or deep re-sequencing. With these data, we explore several issues related to the present-day candidate gene association study including the benefits of complete SNP discovery, the effects of tagSNP selection across diverse populations, and completeness of dbSNP for CRP. Also, we show that while deep re-sequencing uncovers potentially medically relevant coding SNPs, these SNPs are fleetingly rare when genotyped in a population-based survey of 7,000 Americans (NHANES III). Collectively, these data suggest that several different types re-sequencing and genotyping approaches may be required to fully understand the complete spectrum of alleles that impact human phenotypes.

Alleles↗

PubMed2006

High-throughput genotyping of intermediate-size structural variation.

The contribution of large-scale and intermediate-size structural variation (ISV) to human genetic disease and disease susceptibility is only beginning to be understood. The development of high-throughput genotyping technologies is one of the most critical aspects for future studies of linkage disequilibrium (LD) and disease association. Using a simple PCR-based method designed to assay the junctions of the breakpoints, we genotyped seven simple insertion and deletion polymorphisms ranging in size from 6.3 to 24.7 kb among 90 CEPH individuals. We then extended this analysis to a larger collection of samples (n=460) by application of an oligonucleotide extension-ligation genotyping assay. The analysis showed a high level of concordance ( approximately 99%) when compared with PCR/sequence-validated genotypes. Using the available HapMap data, we observed significant LD (r2=0.74-0.95) between each ISV and flanking single nucleotide polymorphisms, but this observation is likely to hold only for similar simple insertion/deletion events. The approach we describe may be used to characterize a large number of individuals in a cost-effective manner once the sequence organization of ISVs is known.

Cohort Studies↗

PubMed2006

Automating sequence-based detection and genotyping of SNPs from diploid samples.

The detection of sequence variation, for which DNA sequencing has emerged as the most sensitive and automated approach, forms the basis of all genetic analysis. Here we describe and illustrate an algorithm that accurately detects and genotypes SNPs from fluorescence-based sequence data. Because the algorithm focuses particularly on detecting SNPs through the identification of heterozygous individuals, it is especially well suited to the detection of SNPs in diploid samples obtained after DNA amplification. It is substantially more accurate than existing approaches and, notably, provides a useful quantitative measure of its confidence in each potential SNP detected and in each genotype called. Calls assigned the highest confidence are sufficiently reliable to remove the need for manual review in several contexts. For example, for sequence data from 47-90 individuals sequenced on both the forward and reverse strands, the highest-confidence calls from our algorithm detected 93% of all SNPs and 100% of high-frequency SNPs, with no false positive SNPs identified and 99.9% genotyping accuracy. This algorithm is implemented in a software package, PolyPhred version 5.0, which is freely available for academic use.

Algorithms↗

PubMed2006

Common genetic variation in the prothrombin gene, hormone therapy, and incident nonfatal myocardial infarction in postmenopausal women.

Genetic variants in coagulation factors are associated with myocardial infarction and may modify the association between hormone therapy and cardiovascular disease risk. This study assessed whether common variation in the prothrombin gene was associated with incident nonfatal myocardial infarction in postmenopausal women and whether this association differed according to current estrogen use. Eight variants representing 98% of common prothrombin variants were selected using publicly available genomic variation data. These variants and the functional G20210A variant were genotyped and used to infer haplotypes in a population-based Washington State case-control study of postmenopausal Caucasian women (1995-1999; 273 cases and 788 controls). Women carrying a nonsynonymous polymorphism in exon 6 (C5467T) had an increased risk of myocardial infarction (for each additional copy, relative to women with one fewer copy, odds ratio = 1.4, 95% confidence interval: 1.0, 1.8). Prothrombin haplotypes were also associated with myocardial infarction (with minimal adjustment, global p = 0.056; with full adjustment, p = 0.034). Associations between haplotypes and myocardial infarction were similar among users of hormone therapy and nonusers (global p = 0.61), though statistical power was limited. These preliminary results suggest that common genetic variants in the prothrombin gene or other variants in linkage disequilibrium are associated with myocardial infarction in postmenopausal women.

Aged↗

PubMed2006

Phenotypic predictors of response to simvastatin therapy among African-Americans and Caucasians: the Cholesterol and Pharmacogenetics (CAP) Study.

Although statins are effective lipid-lowering agents, the phenotypic and demographic predictors of such lowering have been less well examined. We enrolled 944 African-American and white men and women who completed an open-label, 6-week pharmacogenetics trial of 40 mg of simvastatin. The phenotypic and demographic variables were examined as predictors of the change in lipids and lipoproteins using linear regression analysis. On average, treatment with simvastatin lowered low-density lipoprotein (LDL) cholesterol by 54 mg/dl and increased high-density lipoprotein (HDL) cholesterol by 2 mg/dl. Compared with African-Americans, whites had a 3-mg/dl greater LDL reduction and a 1-mg/dl higher HDL elevation, independent of other variables, including baseline lipoprotein levels (p <0.01). Multivariate analyses revealed moderate subgroup differences, with older participants having a larger decrease in LDL cholesterol and apolipoprotein B levels compared with younger participants (p <0.001), women having larger increases in HDL than men (p <0.01), nonsmokers having larger decreases in LDL and triglyceride levels compared with smokers (p <0.05), those with hypertension having smaller decreases in apolipoprotein B than those without hypertension (p <0.05), and those with a larger waist circumference having a diminished lowering of triglycerides in response to treatment with simvastatin (p <0.01). In conclusion, treatment with simvastatin produced favorable lipid and lipoprotein changes among all participants. The magnitude of the lipid and lipoprotein responses, however, differed among participants according to a number of phenotypic and demographic characteristics.

Adult↗

PubMed2006

Sequence diversity, natural selection and linkage disequilibrium in the human T cell receptor alpha/delta locus.

T cell receptors (TR), through their interaction with the major histocompatibility complex, play a central role in immune responsiveness and potentially immune-related disorders. We resequenced all 57 variable (V) genes in the human T cell receptor alpha and delta (TRA/TRD) locus in 40 individuals of Northern European, Mexican, African-American and Chinese descent. Two hundred and eighty-four single nucleotide polymorphisms (SNPs) were identified. The distribution of SNPs between V genes was heterogeneous, with an average of five SNPs per gene and a range of zero to 15. We describe the patterns of linkage disequilibrium for these newly discovered SNPs and compare these patterns with other emerging large-scale datasets (e.g. Perlegen and HapMap projects) to place our findings into a framework for future analysis of genotype-phenotype associations across this locus. Furthermore, we explore signatures of natural selection across V genes. We find evidence of strong directional selection at this locus as evidenced by unusually high values of Fst.

Computer Simulation↗

PubMed2006

Positioning a medical school for modern biomedical research: the department of genome sciences at the University of Washington School of Medicine.

The availability of genome sequences from a multitude of organisms, which began about a decade ago, has had enormous impact throughout the biomedical sciences. These sequence data have changed the way research studies are carried out and have led to the explosive growth of computational biology as an approach to analyze biological processes and evolution. In medicine, the completion of the human genome sequence has illuminated the function of many genes, facilitated the correlation of mutant genes to disease phenotypes, and provided a basis for the study of human variation. At the University of Washington, the two academic departments whose overall programs were most centrally affected by the sequencing revolution were Genetics and Molecular Biotechnology. These departments were fused in 2001 to form the Department of Genome Sciences in order to best exploit these developments and to become a prototype for the basic biomedical science department of the future. The department's goal is to address leading-edge questions in biology and medicine through the application of genetics, genomics, proteomics, and computational approaches to the increasing collection of known genome sequences and their encoded products. The authors review the events that led up to the founding of this department and discuss the initiatives that have been undertaken, which include the recruitment of faculty, the establishment of a new interdisciplinary graduate program, the continued development of an outreach program, and the construction of a building to house the department. Lessons learned in crafting this department are also discussed, as well as how these might apply to other medical schools.

Biomedical Research↗

PubMed2005

Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose.

BACKGROUND: The management of warfarin therapy is complicated by a wide variation among patients in drug response. Variants in the gene encoding vitamin K epoxide reductase complex 1 (VKORC1) may affect the response to warfarin. METHODS: We conducted a retrospective study of European-American patients receiving long-term warfarin maintenance therapy. Multiple linear-regression analysis was used to determine the effect of VKORC1 haplotypes on the warfarin dose. We determined VKORC1 haplotype frequencies in African-American, European-American, and Asian-American populations and VKORC1 messenger RNA (mRNA) expression in human liver samples. RESULTS: We identified 10 common noncoding VKORC1 single-nucleotide polymorphisms and inferred five major haplotypes. We identified a low-dose haplotype group (A) and a high-dose haplotype group (B). The mean (+/-SE) maintenance dose of warfarin differed significantly among the three haplotype group combinations, at 2.7+/-0.2 mg per day for A/A, 4.9+/-0.2 mg per day for A/B, and 6.2+/-0.3 mg per day for B/B (P<0.001). VKORC1 haplotype groups A and B explained approximately 25 percent of the variance in dose. Asian Americans had a higher proportion of group A haplotypes and African Americans a higher proportion of group B haplotypes. VKORC1 mRNA levels varied according to the haplotype combination. CONCLUSIONS: VKORC1 haplotypes can be used to stratify patients into low-, intermediate-, and high-dose warfarin groups and may explain differences in dose requirements among patients of different ancestries. The molecular mechanism of this warfarin dose response appears to be regulated at the transcriptional level.

Anticoagulants↗

PubMed2005

Polymorphisms within the C-reactive protein (CRP) promoter region are associated with plasma CRP levels.

Elevated plasma levels of C-reactive protein (CRP), an inflammation-sensitive marker, have emerged as an important predictor of future cardiovascular disease and metabolic abnormalities in apparently healthy men and women. Here, we performed a systematic survey of common nucleotide variation across the genomic region encompassing the CRP gene locus. Of the common single-nucleotide polymorphisms (SNPs) identified, several in the CRP promoter region are strongly associated with CRP levels in a large cohort study of cardiovascular risk in European American and African American young adults. We also demonstrate the functional importance of these SNPs in vitro.

Adolescent↗

PubMed2005

Genomic regions exhibiting positive selection identified from dense genotype data.

The allele frequency spectrum of polymorphisms in DNA sequences can be used to test for signatures of natural selection that depart from the expected frequency spectrum under the neutral theory. We observed a significant (P = 0.001) correlation between the Tajima's D test statistic in full resequencing data and Tajima's D in a dense, genome-wide data set of genotyped polymorphisms for a set of 179 genes. Based on this, we used a sliding window analysis of Tajima's D across the human genome to identify regions putatively subject to strong, recent, selective sweeps. This survey identified seven Contiguous Regions of Tajima's D Reduction (CRTRs) in an African-descent population (AD), 23 in a European-descent population (ED), and 29 in a Chinese-descent population (XD). Only four CRTRs overlapped between populations: three between ED and XD and one between AD and ED. Full resequencing of eight genes within six CRTRs demonstrated frequency spectra inconsistent with neutral expectations for at least one gene within each CRTR. Identification of the functional polymorphism (and/or haplotype) responsible for the selective sweeps within each CRTR may provide interesting insights into the strongest selective pressures experienced by the human genome over recent evolutionary history.

Black or African American↗