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Dive into the research topics where Renee Stokowski is active.

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Featured researches published by Renee Stokowski.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Genomewide SNP variation reveals relationships among landraces and modern varieties of rice.

Kenneth L. McNally; Kevin L. Childs; Regina Bohnert; Rebecca M. Davidson; Keyan Zhao; Victor Jun Ulat; Georg Zeller; Richard M. Clark; Douglas R. Hoen; Thomas E. Bureau; Renee Stokowski; Dennis G. Ballinger; Kelly A. Frazer; D. R. Cox; Badri Padhukasahasram; Carlos Bustamante; Detlef Weigel; David J. Mackill; Richard Bruskiewich; Gunnar Rätsch; C. Robin Buell; Hei Leung; Jan E. Leach

Rice, the primary source of dietary calories for half of humanity, is the first crop plant for which a high-quality reference genome sequence from a single variety was produced. We used resequencing microarrays to interrogate 100 Mb of the unique fraction of the reference genome for 20 diverse varieties and landraces that capture the impressive genotypic and phenotypic diversity of domesticated rice. Here, we report the distribution of 160,000 nonredundant SNPs. Introgression patterns of shared SNPs revealed the breeding history and relationships among the 20 varieties; some introgressed regions are associated with agronomic traits that mark major milestones in rice improvement. These comprehensive SNP data provide a foundation for deep exploration of rice diversity and gene–trait relationships and their use for future rice improvement.


Nature Genetics | 2010

Variant in PNPLA3 is associated with alcoholic liver disease

Chao Tian; Renee Stokowski; David Kershenobich; Dennis G. Ballinger; David A. Hinds

Two genome-wide association studies (GWAS) have described associations of variants in PNPLA3 with nonalcoholic fatty liver and plasma liver enzyme levels. We investigated the contributions of these variants to liver disease in Mestizo subjects with a history of alcohol dependence. We found that rs738409 in PNPLA3 is strongly associated with alcoholic liver disease and clinically evident alcoholic cirrhosis (unadjusted OR= 2.25, P=1.7 × 10−10; ancestry-adjusted OR=1.79, P=1.9 × 10−5).


Prenatal Diagnosis | 2012

Selective analysis of cell-free DNA in maternal blood for evaluation of fetal trisomy.

Andrew Sparks; Eric Wang; Craig A. Struble; Wade A. Barrett; Renee Stokowski; Celeste McBride; Jacob Zahn; Kevin Lee; Naiping Shen; Jigna Doshi; Michel Sun; Jill Garrison; Jay Sandler; Desiree Hollemon; Patrick Pattee; Aoy Tomita-Mitchell; Michael S Mitchell; John R. Stuelpnagel; Ken Song; Arnold Oliphant

To develop a novel prenatal assay based on selective analysis of cell‐free DNA in maternal blood for evaluation of fetal Trisomy 21 (T21) and Trisomy 18 (T18).


American Journal of Human Genetics | 2007

A Genomewide Association Study of Skin Pigmentation in a South Asian Population

Renee Stokowski; P.V. Krishna Pant; Tony Dadd; Amelia Fereday; David A. Hinds; Carl Jarman; Wendy Filsell; Rebecca S. Ginger; Martin R. Green; Frans van der Ouderaa; D. R. Cox

We have conducted a multistage genomewide association study, using 1,620,742 single-nucleotide polymorphisms to systematically investigate the genetic factors influencing intrinsic skin pigmentation in a population of South Asian descent. Polymorphisms in three genes--SLC24A5, TYR, and SLC45A2--yielded highly significant replicated associations with skin-reflectance measurements, an indirect measure of melanin content in the skin. The associations detected in these three genes, in an additive manner, collectively account for a large fraction of the natural variation of skin pigmentation in a South Asian population. Our study is the first to interrogate polymorphisms across the genome, to find genetic determinants of the natural variation of skin pigmentation within a human population.


Journal of the National Cancer Institute | 2010

Assessment of Clinical Validity of a Breast Cancer Risk Model Combining Genetic and Clinical Information

Matthew E. Mealiffe; Renee Stokowski; Brian K. Rhees; Ross L. Prentice; Mary Pettinger; David A. Hinds

Background The Gail model is widely used for the assessment of risk of invasive breast cancer based on recognized clinical risk factors. In recent years, a substantial number of single-nucleotide polymorphisms (SNPs) associated with breast cancer risk have been identified. However, it remains unclear how to effectively integrate clinical and genetic risk factors for risk assessment. Methods Seven SNPs associated with breast cancer risk were selected from the literature and genotyped in white non-Hispanic women in a nested case–control cohort of 1664 case patients and 1636 control subjects within the Women’s Health Initiative Clinical Trial. SNP risk scores were computed based on previously published odds ratios assuming a multiplicative model. Combined risk scores were calculated by multiplying Gail risk estimates by the SNP risk scores. The independence of Gail risk and SNP risk was evaluated by logistic regression. Calibration of relative risks was evaluated using the Hosmer–Lemeshow test. The performance of the combined risk scores was evaluated using receiver operating characteristic curves. The net reclassification improvement (NRI) was used to assess improvement in classification of women into low (<1.5%), intermediate (1.5%–2%), and high (>2%) categories of 5-year risk. All tests of statistical significance were two-sided. Results The SNP risk score was nearly independent of Gail risk. There was good agreement between predicted and observed SNP relative risks. In the analysis for receiver operating characteristic curves, the combined risk score was more discriminating, with area under the curve of 0.594 compared with area under the curve of 0.557 for Gail risk alone (P < .001). Classification also improved for 5.6% of case patients and 2.9% of control subjects, showing an NRI value of 0.085 (P = 1.0 × 10−5). Focusing on women with intermediate Gail risk resulted in an improved NRI of 0.195 (P = 8.6 × 10−5). Conclusions Combining validated common genetic risk factors with clinical risk factors resulted in modest improvement in classification of breast cancer risks in white non-Hispanic postmenopausal women. Classification performance was further improved by focusing on women at intermediate risk.


American Journal of Human Genetics | 2004

Matching Strategies for Genetic Association Studies in Structured Populations

David A. Hinds; Renee Stokowski; Nila Patil; Karel Konvicka; David Kershenobich; D. R. Cox; Dennis G. Ballinger

Association studies in populations that are genetically heterogeneous can yield large numbers of spurious associations if population subgroups are unequally represented among cases and controls. This problem is particularly acute for studies involving pooled genotyping of very large numbers of single-nucleotide-polymorphism (SNP) markers, because most methods for analysis of association in structured populations require individual genotyping data. In this study, we present several strategies for matching case and control pools to have similar genetic compositions, based on ancestry information inferred from genotype data for approximately 300 SNPs tiled on an oligonucleotide-based genotyping array. We also discuss methods for measuring the impact of population stratification on an association study. Results for an admixed population and a phenotype strongly confounded with ancestry show that these simple matching strategies can effectively mitigate the impact of population stratification.


Neuropsychopharmacology | 2010

Resequencing of nicotinic acetylcholine receptor genes and association of common and rare variants with the Fagerström test for nicotine dependence.

Jennifer Wessel; Sarah M McDonald; David A. Hinds; Renee Stokowski; Harold S. Javitz; Michael Kennemer; Ruth Krasnow; William Dirks; Jill Hardin; Steven J Pitts; Martha Michel; Lisa M. Jack; Dennis G. Ballinger; Jennifer B. McClure; Gary E. Swan; Andrew W. Bergen

Common single-nucleotide polymorphisms (SNPs) at nicotinic acetylcholine receptor (nAChR) subunit genes have previously been associated with measures of nicotine dependence. We investigated the contribution of common SNPs and rare single-nucleotide variants (SNVs) in nAChR genes to Fagerström test for nicotine dependence (FTND) scores in treatment-seeking smokers. Exons of 10 genes were resequenced with next-generation sequencing technology in 448 European-American participants of a smoking cessation trial, and CHRNB2 and CHRNA4 were resequenced by Sanger technology to improve sequence coverage. A total of 214 SNP/SNVs were identified, of which 19.2% were excluded from analyses because of reduced completion rate, 73.9% had minor allele frequencies <5%, and 48.1% were novel relative to dbSNP build 129. We tested associations of 173 SNP/SNVs with the FTND score using data obtained from 430 individuals (18 were excluded because of reduced completion rate) using linear regression for common, the cohort allelic sum test and the weighted sum statistic for rare, and the multivariate distance matrix regression method for both common and rare SNP/SNVs. Association testing with common SNPs with adjustment for correlated tests within each gene identified a significant association with two CHRNB2 SNPs, eg, the minor allele of rs2072660 increased the mean FTND score by 0.6 Units (P=0.01). We observed a significant evidence for association with the FTND score of common and rare SNP/SNVs at CHRNA5 and CHRNB2, and of rare SNVs at CHRNA4. Both common and/or rare SNP/SNVs from multiple nAChR subunit genes are associated with the FTND score in this sample of treatment-seeking smokers.


American Journal of Human Genetics | 2000

Functional analysis of the neurofibromatosis type 2 protein by means of disease-causing point mutations.

Renee Stokowski; David R. Cox

Despite intense study of the neurofibromatosis type 2 (NF2) tumor-suppressor protein merlin, the biological properties and tumor-suppressor functions of merlin are still largely unknown. In this study, we examined the molecular activities of NF2-causing mutant merlin proteins in transfected mammalian cells, to elucidate the merlin properties that are critical for tumor-suppressor function. Most important, we found that 80% of the merlin mutants studied significantly altered cell adhesion, causing cells to detach from the substratum. This finding implies a function for merlin in regulating cell-matrix attachment, and changes in cell adhesion caused by mutant protein expression may be an initial step in the pathogenesis of NF2. In addition, five different mutations in merlin caused a significant increase in detergent solubility of merlin compared to wild type, indicating a decreased ability to interact with the cytoskeleton. Although not correlated to the cell-adhesion phenotype, four missense mutations decreased the binding of merlin to the ERM-interacting protein EBP-50, implicating this interaction in merlin inhibition of cell growth. Last, we found that some NF2 point mutations in merlin most closely resembled gain-of-function alleles in their cellular phenotype, which suggests that mutant NF2 alleles may not always act in a loss-of-function manner, as had been assumed, but may include a spectrum of allelic types with different phenotypic effects on the function of the protein. In aggregate, these cellular phenotypes provide a useful assay for identifying the functional domains and molecular partners necessary for merlin tumor-suppressor activity.


Fetal Diagnosis and Therapy | 2012

Influence of Temperature during Transportation on Cell-Free DNA Analysis

Mats Hidestrand; Renee Stokowski; Ken Song; Arnold Oliphant; Julie Deavers; Mary Goetsch; Pippa Simpson; Randall Kuhlman; Mary Ames; Michael J. Mitchell; Aoy Tomita-Mitchell

Objective: To determine the effect of shipping blood in Streck blood collection tubes (BCT) prior to processing on cell-free DNA (cf-DNA) levels. Methods: Blood was collected in ethylenediaminetetraacetic acid (EDTA) and BCT tubes from 10 pregnant women carrying male fetuses. One set of each tube for each subject was processed to plasma immediately (standard cf-DNA protocol), whereas the other set was shipped by air courier and then processed. DNA was extracted and total and fetal DNA concentrations were measured by TaqMan multiplexed quantitative real-time PCR. Results: No significant difference was observed in total cf-DNA in plasma between immediately processed EDTA (control) and immediately processed BCT samples. Moreover, no significant change in total cf-DNA was detected in plasma of BCT samples shipped at room temperature. Significant differences in total cf-DNA leading to a significantly decreased fetal fraction were found in shipped EDTA samples and BCT samples shipped at 4°C. Discussion: BCT tubes are suitable for shipping whole blood prior to processing with respect to cf-DNA levels. However, care should be taken to ensure that samples are not exposed to extreme temperatures during shipment. This finding will benefit the development and clinical application of noninvasive methods of fetal diagnosis that utilize cf-DNA.


Prenatal Diagnosis | 2015

Clinical performance of non‐invasive prenatal testing (NIPT) using targeted cell‐free DNA analysis in maternal plasma with microarrays or next generation sequencing (NGS) is consistent across multiple controlled clinical studies

Renee Stokowski; Eric Wang; Karen White; Annette Batey; Bo Jacobsson; Herb Brar; Madhumitha Balanarasimha; Desiree Hollemon; Andrew Sparks; Kypros H. Nicolaides; Thomas J. Musci

To evaluate the clinical performance of non‐invasive prenatal testing for trisomy 21, 18, and 13 using targeted cell‐free DNA (cfDNA) analysis.

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C. Robin Buell

Michigan State University

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Jan E. Leach

Colorado State University

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Kevin L. Childs

Michigan State University

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