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Dive into the research topics where Lisa B. Signorello is active.

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Featured researches published by Lisa B. Signorello.


Nature Genetics | 2012

Detectable clonal mosaicism from birth to old age and its relationship to cancer

Cathy C. Laurie; Cecelia A. Laurie; Kenneth Rice; Kimberly F. Doheny; Leila R. Zelnick; Caitlin P. McHugh; Hua Ling; Kurt N. Hetrick; Elizabeth W. Pugh; Christopher I. Amos; Qingyi Wei; Li-E Wang; Jeffrey E. Lee; Kathleen C. Barnes; Nadia N. Hansel; Rasika A. Mathias; Denise Daley; Terri H. Beaty; Alan F. Scott; Ingo Ruczinski; Rob Scharpf; Laura J. Bierut; Sarah M. Hartz; Maria Teresa Landi; Neal D. Freedman; Lynn R. Goldin; David Ginsburg; Jun-Jun Li; Karl C. Desch; Sara S. Strom

We detected clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies. This detection method requires a relatively high frequency of cells with the same abnormal karyotype (>5–10%; presumably of clonal origin) in the presence of normal cells. The frequency of detectable clonal mosaicism in peripheral blood is low (<0.5%) from birth until 50 years of age, after which it rapidly rises to 2–3% in the elderly. Many of the mosaic anomalies are characteristic of those found in hematological cancers and identify common deleted regions with genes previously associated with these cancers. Although only 3% of subjects with detectable clonal mosaicism had any record of hematological cancer before DNA sampling, those without a previous diagnosis have an estimated tenfold higher risk of a subsequent hematological cancer (95% confidence interval = 6–18).


The New England Journal of Medicine | 2000

Caffeine intake and the risk of first-trimester spontaneous abortion.

Sven Cnattingius; Lisa B. Signorello; Göran Annerén; Britt Clausson; Anders Ekbom; Elisabeth Ljunger; William J. Blot; Joseph K. McLaughlin; Gunnar Petersson; Anders Rane; Fredrik Granath

BACKGROUND Some epidemiologic studies have suggested that the ingestion of caffeine increases the risk of spontaneous abortion, but the results have been inconsistent. METHODS We performed a population-based, case-control study of early spontaneous abortion in Uppsala County, Sweden. The subjects were 562 women who had spontaneous abortion at 6 to 12 completed weeks of gestation (the case patients) and 953 women who did not have spontaneous abortion and were matched to the case patients according to the week of gestation (controls). Information on the ingestion of caffeine was obtained from in-person interviews. Plasma cotinine was measured as an indicator of cigarette smoking, and fetal karyotypes were determined from tissue samples. Multivariate analysis was used to estimate the relative risks associated with caffeine ingestion after adjustment for smoking and symptoms of pregnancy such as nausea, vomiting, and tiredness. RESULTS Among nonsmokers, more spontaneous abortions occurred in women who ingested at least 100 mg of caffeine per day than in women who ingested less than 100 mg per day, with the increase in risk related to the amount ingested (100 to 299 mg per day: odds ratio, 1.3; 95 percent confidence interval, 0.9 to 1.8; 300 to 499 mg per day: odds ratio, 1.4; 95 percent confidence interval, 0.9 to 2.0; and 500 mg or more per day: odds ratio, 2.2; 95 percent confidence interval, 1.3 to 3.8). Among smokers, caffeine ingestion was not associated with an excess risk of spontaneous abortion. When the analyses were stratified according to the results of karyotyping, the ingestion of moderate or high levels of caffeine was found to be associated with an excess risk of spontaneous abortion when the fetus had a normal or unknown karyotype but not when the fetal karyotype was abnormal. CONCLUSIONS The ingestion of caffeine may increase the risk of an early spontaneous abortion among non-smoking women carrying fetuses with normal karyotypes.


Nature | 2011

The landscape of recombination in African Americans

Anjali G. Hinch; Arti Tandon; Nick Patterson; Yunli Song; Nadin Rohland; C. Palmer; Gary K. Chen; Kai Wang; Sarah G. Buxbaum; Ermeg L. Akylbekova; Melinda C. Aldrich; Christine B. Ambrosone; Christopher I. Amos; Elisa V. Bandera; Sonja I. Berndt; Leslie Bernstein; William J. Blot; Cathryn H. Bock; Eric Boerwinkle; Qiuyin Cai; Neil E. Caporaso; Graham Casey; L. Adrienne Cupples; Sandra L. Deming; W. Ryan Diver; Jasmin Divers; Myriam Fornage; Elizabeth M. Gillanders; Joseph T. Glessner; Curtis C. Harris

Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value < 10−245). We identify a 17-base-pair DNA sequence motif that is enriched in these hotspots, and is an excellent match to the predicted binding target of PRDM9 alleles common in West Africans and rare in Europeans. Sites of this motif are predicted to be risk loci for disease-causing genomic rearrangements in individuals carrying these alleles. More generally, this map provides a resource for research in human genetic variation and evolution.


Nature Genetics | 2011

Genome-wide association study of prostate cancer in men of African ancestry identifies a susceptibility locus at 17q21

Christopher A. Haiman; Gary K. Chen; William J. Blot; Sara S. Strom; Sonja I. Berndt; Rick A. Kittles; Benjamin A. Rybicki; William B. Isaacs; Sue A. Ingles; Janet L. Stanford; W. Ryan Diver; John S. Witte; Ann W. Hsing; Barbara Nemesure; Timothy R. Rebbeck; Kathleen A. Cooney; Jianfeng Xu; Adam S. Kibel; Jennifer J. Hu; Esther M. John; Serigne M. Gueye; Stephen Watya; Lisa B. Signorello; Richard B. Hayes; Zhaoming Wang; Edward D. Yeboah; Yao Tettey; Qiuyin Cai; Suzanne Kolb; Elaine A. Ostrander

In search of common risk alleles for prostate cancer that could contribute to high rates of the disease in men of African ancestry, we conducted a genome-wide association study, with 1,047,986 SNP markers examined in 3,425 African-Americans with prostate cancer (cases) and 3,290 African-American male controls. We followed up the most significant 17 new associations from stage 1 in 1,844 cases and 3,269 controls of African ancestry. We identified a new risk variant on chromosome 17q21 (rs7210100, odds ratio per allele = 1.51, P = 3.4 × 10−13). The frequency of the risk allele is ∼5% in men of African descent, whereas it is rare in other populations (<1%). Further studies are needed to investigate the biological contribution of this allele to prostate cancer risk. These findings emphasize the importance of conducting genome-wide association studies in diverse populations.


American Journal of Therapeutics | 2002

Confounding by indication in epidemiologic studies of commonly used analgesics

Lisa B. Signorello; Joseph K. McLaughlin; Loren Lipworth; Søren Friis; Henrik Toft Sørensen; William J. Blot

Confounding by indication is a bias frequently encountered in observational epidemiologic studies of drug effects. Because the allocation of treatment in observational studies is not randomized and the indication for treatment may be related to the risk of future health outcomes, the resulting imbalance in the underlying risk profile between treated and comparison groups can generate biased results. Confounding by indication is often present in studies of drugs that are not widely prescribed, because the indications for their use are narrow and not likely to be present in comparison groups; however, this bias is also observed in the study of widely used over-the-counter and prescription drugs, as exemplified by studies of analgesics. In this article we review examples from the published literature to demonstrate how confounding by indication can affect the findings of pharmacoepidemiologic studies relating analgesic use to various health outcomes.


British Journal of Cancer | 2001

Aspirin and risk for gastric cancer: a population-based case–control study in Sweden

Katja Akre; A. M. Ekström; Lisa B. Signorello; L.-E. Hansson; Olof Nyrén

While aspirin and other non-steroid anti-inflammatory drugs (NSAIDs) are associated with gastric mucosal damage, they might reduce the risk for gastric cancer. In a population-based case–control study in 5 Swedish counties, we interviewed 567 incident cases of gastric cancer and 1165 controls about their use of pain relievers. The cases were uniformly classified to subsite (cardia/non-cardia) and histological type and information collected on other known risk factors for gastric cancer. Helicobacter pylori serology was tested in a subset of 542 individuals. Users of aspirin had a moderately reduced risk of gastric cancer compared to never users; odds ratio (OR) adjusted for age, gender and socioeconomic status was 0.7 (95% CI = 0.6–1.0). Gastric cancer risk fell with increasing frequency of aspirin use (P for trend = 0.02). The risk reduction was apparent for both cardia and non-cardia tumours but was uncertain for the diffuse histologic type. No clear association was observed between gastric cancer risk and non-aspirin NSAIDs or other studied pain relievers. Our finding lends support to the hypothesis that use of aspirin reduces the risk for gastric cancer.


American Journal of Public Health | 2007

Comparing Diabetes Prevalence Between African Americans and Whites of Similar Socioeconomic Status

Lisa B. Signorello; David G. Schlundt; Sarah S. Cohen; Mark Steinwandel; Maciej S. Buchowski; Joseph K. McLaughlin; Margaret K. Hargreaves; William J. Blot

OBJECTIVES We investigated whether racial disparities in the prevalence of type 2 diabetes exist beyond what may be attributable to differences in socioeconomic status (SES) and other modifiable risk factors. METHODS We analyzed data from 34331 African American and 9491 White adults aged 40 to 79 years recruited into the ongoing Southern Community Cohort Study. Participants were enrolled at community health centers and had similar socioeconomic circumstances and risk factor profiles. We used logistic regression to estimate the association between race and prevalence of self-reported diabetes after taking into account age, SES, health insurance coverage, body mass index, physical activity, and hypertension. RESULTS Multivariate analyses accounting for several diabetes risk factors did not provide strong support for higher diabetes prevalence rates among African Americans than among Whites (men: odds ratio [OR]=1.07; 95% confidence interval [CI]=0.95, 1.20); women: OR=1.13, 95% CI=1.04, 1.22). CONCLUSIONS Our findings suggest that major differences in diabetes prevalence between African Americans and Whites may simply reflect differences in established risk factors for the disease, such as SES, that typically vary according to race.


Journal of Health Care for the Poor and Underserved | 2010

The Southern Community Cohort Study: Investigating Health Disparities

Lisa B. Signorello; Margaret K. Hargreaves; William J. Blot

Summary: Over 73,700 adults age 40–79, nearly 70% African American, were recruited at community health centers across 12 southeastern states; individual characteristics were recorded and biologic specimens collected at baseline for later follow-up. The Southern Community Cohort Study is a unique national resource for assessing determinants of racial/ethnic differentials in diseases.


Epidemiology | 2004

Maternal caffeine consumption and spontaneous abortion: a review of the epidemiologic evidence.

Lisa B. Signorello; Joseph K. McLaughlin

Since the 1980s, numerous studies have investigated whether caffeine intake during pregnancy affects the risk of spontaneous abortion. A clear consensus, however, has not been reached. Because of the public health importance of this question, we reviewed the results of 15 epidemiologic studies on this topic, with particular attention to the specific methodologic problems that would generate biased findings. These include selection and recall bias, confounding, several issues pertaining to exposure measurement, and the failure to account for fetal karyotype, caffeine metabolism, the timing of fetal demise, and the possibility that an effect of caffeine may be gestational age-specific. All of the studies reviewed suffer from important methodologic limitations that hinder both the interpretation of each study individually and the comparison of results across studies. Despite the fact that most epidemiologic studies have observed a positive association between maternal caffeine intake and the risk of spontaneous abortion, we conclude that the evidence must be considered to be equivocal, given the biases likely present and the fact that most of the potential biases would tend to overestimate any association. Until studies can overcome these limitations, evidence for a causal link between caffeine and spontaneous abortion will remain inconclusive.


Translational Psychiatry | 2012

Genome-wide meta-analyses of smoking behaviors in African Americans

Sean P. David; Ajna Hamidovic; Gary K. Chen; Andrew W. Bergen; J. Wessel; Jay Kasberger; Wm Brown; S. Petruzella; Evan L. Thacker; Young Jin Kim; Michael A. Nalls; Greg Tranah; Yun Ju Sung; Christine B. Ambrosone; Donna K. Arnett; Elisa V. Bandera; Diane M. Becker; Lewis C. Becker; Sonja I. Berndt; Leslie Bernstein; William J. Blot; Ulrich Broeckel; Sarah G. Buxbaum; Neil E. Caporaso; Graham Casey; Stephen J. Chanock; Sandra L. Deming; W. R. Diver; Charles B. Eaton; Daniel S. Evans

The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n=32 389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β=0.040, s.e.=0.007, P=1.84 × 10−8). This variant is present in the 5′-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.

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Sarah S. Cohen

University of North Carolina at Chapel Hill

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Wei Zheng

Vanderbilt University

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Joseph K. McLaughlin

National Institutes of Health

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Jay H. Fowke

Vanderbilt University Medical Center

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Sonja I. Berndt

National Institutes of Health

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