Sue Rutherford
Texas Biomedical Research Institute
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Featured researches published by Sue Rutherford.
International Journal of Cancer | 2001
Joanne Elizabeth Curran; Rodney Arthur Lea; Sue Rutherford; Stephen R. Weinstein; Lyn R. Griffiths
We have utilized a cross‐sectional association approach to investigate sporadic breast cancer. Polymorphisms in 2 candidate genes, ESRα and GRL, were examined in an unrelated breast cancer–affected and age‐matched control population. Several polymorphic regions within the ESRα gene have been identified, and some alleles of these polymorphisms have been found to occur at increased levels in breast‐cancer patients. Additionally, variations in GRL have the potential to disrupt cell transcription and may be associated with cancer formation. We analyzed 3 polymorphisms, from codons 10 (TCT to TCC), 325 (CCC to CCG) and 594 (ACA to ACG) of ESRα, and a highly polymorphic dinucleotide repeat, D5S207, located within 200 kb of the GRL. When allelc frequencies of the codon 594 (exon 8) ESR polymorphism were compared between affected and unaffected populations, a significant difference was observed (p = 0.005). Results from the D5S207 dinucleotide repeat located near GRL also indicated a significant difference between the tested case and control populations (p = 0.001). Allelic frequencies of the codon 10 and codon 325 ESR polymorphisms were not significantly different between populations (p = 0.152 and 0.181, respectively). Our results indicate that specific alleles of the ESR gene (α subtype) and a marker for the GRL gene locus are associated with sporadic breast‐cancer development in the tested Caucasian population and justify further investigation of the role of these and other nuclear steroid receptors in the etiology of breast cancer.
Heredity | 2009
David L. Rainwater; Sue Rutherford; Thomas D. Dyer; Elizabeth D. Rainwater; Shelley A. Cole; John L. VandeBerg; Laura Almasy; John Blangero; Jean W. MacCluer; Michael C. Mahaney
Paraoxonase-1 (PON1) is associated with high-density lipoprotein (HDL) particles and is believed to contribute to antiatherogenic properties of HDLs. We assessed the determinants of PON1 activity variation using different substrates of the enzyme. PON1 activity in serum samples from 922 participants in the San Antonio Family Heart Study was assayed using a reliable microplate format with three substrates: paraoxon, phenyl acetate and the lactone dihydrocoumarin. There were major differences among results from the three substrates in degree of effect by various environmental and genetic factors, suggesting that knowledge of one substrate activity alone may not provide a complete sense of PON1 metabolism. Three significant demographic covariates (age, smoking status and contraceptive usage) together explained 1–6% of phenotypic variance, whereas four metabolic covariates representing lipoprotein metabolism (apoAII, apoAI, triglycerides and non-HDL cholesterol) explained 4–19%. Genes explained 65–92% of phenotypic variance and the dominant genetic effect was exerted by a locus mapping at or near the protein structural locus (PON1) on chromosome 7. Additional genes influencing PON1 activity were localized to chromosomes 3 and 14. Our study identified environmental and genetic determinants of PON1 activity that accounted for 88–97% of total phenotypic variance, suggesting that few, if any, major biological determinants are unrepresented in the models.
Laboratory Investigation | 2005
Sue Rutherford; Garret M. Hampton; Henry F. Frierson; Christopher A. Moskaluk
Adenoid cystic carcinoma (ACC) is a common malignancy of salivary glands, for which the underlying genetic mechanisms of tumorigenesis are poorly understood. Prior studies in ACC have identified deletions in chromosome 12. To further characterize these changes, we performed an extensive LOH analysis in 58 ACC using a panel of 28 microsatellite markers. Results show 66% overall genetic loss. Three markers (D12S1713, D12S2196, D12S398) are contiguous and define a 6.84 Mb region of deletion at 12q13.11–q13.13. Two other markers (D12S2078, D12S1628) are also contiguous and define a 4.5 Mb region of deletion at 12q24.32–q24.33. The three remaining markers, D12S1056 at 12q14.1, D12S1051 at 12q23.1 and D12S1636 at 12q23.3 define smaller regions of deletion. An analysis of microarray gene expression profiling data available for ACC shows several genes with significant transcriptional downregulation that map to these areas of genetic deletion. This combined genetic and genomic analysis provides several candidate genes to test for functional tumor suppressor activity in ACC.
American Journal of Human Genetics | 2007
Sue Rutherford; Guowen Cai; Juan Carlos López-Alvarenga; Jack W. Kent; V. Saroja Voruganti; J. Michael Proffitt; Joanne E. Curran; Mathew P. Johnson; Thomas D. Dyer; Jeremy B. M. Jowett; Raul A. Bastarrachea; Larry D. Atwood; Harald H H Göring; Jean W. MacCluer; Eric K. Moses; John Blangero; Anthony G. Comuzzie; Shelley A. Cole
Although previous genome scans have searched for quantitative-trait loci (QTLs) influencing variation in blood pressure (BP), few have investigated the rate of change in BP over time as a phenotype. Here, we compare results from genomewide scans to localize QTLs for systolic, diastolic, and mean arterial BPs (SBP, DBP, and MBP, respectively) and for rates of change in systolic, diastolic, and mean arterial BPs (rSBP, rDBP, and rMBP, respectively), with use of the longitudinal data collected about Mexican Americans of the San Antonio Family Heart Study (SAFHS). Significant evidence of linkage was found for rSBP (LOD 4.15) and for rMBP (LOD 3.94) near marker D11S4464 located on chromosome 11q24.1. This same chromosome 11q region also shows suggestive linkage to SBP (LOD 2.23) and MBP (LOD 2.37) measurements collected during the second clinic visit. Suggestive evidence of linkage to chromosome 5 was also found for rMBP, to chromosome 16 for rSBP, and to chromosomes 1, 5, 6, 7, and 21 for the single-time-point BP traits collected at the first two SAFHS clinic visits. We also present results from fine mapping the chromosome 11 QTL with use of SNP-association analysis within candidate genes identified from a bioinformatic search of the region and from whole-genome transcriptional expression data collected from 1,240 SAFHS participants. Our results show that the use of longitudinal BP data to calculate the rate of change in BP over time provides more information than do the single-time measurements, since they reveal physiological trends in the subjects that a single-time measurement could never capture. Further investigation of this region is necessary for the identification of the genetic variation responsible for QTLs influencing the rate of change in BP.
Human Molecular Genetics | 2010
Phillip E. Melton; Sue Rutherford; Venkata Saroja Voruganti; Harald H H Göring; Sandra Laston; Karin Haack; Anthony G. Comuzzie; Thomas D. Dyer; Matthew P. Johnson; Jack W. Kent; Joanne E. Curran; Eric K. Moses; John Blangero; Ana Barac; Elisa T. Lee; Lyle G. Best; Richard R. Fabsitz; Richard B. Devereux; Peter M. Okin; Jonathan N. Bella; Uli Broeckel; Barbara V. Howard; Jean W. MacCluer; Shelley A. Cole; Laura Almasy
Heart rate (HR) has been identified as a risk factor for cardiovascular disease (CVD), yet little is known regarding genetic factors influencing this phenotype. Previous research in American Indians (AIs) from the Strong Heart Family Study (SHFS) identified a significant quantitative trait locus (QTL) for HR on chromosome 9p21. Genetic association on HR was conducted in the SHFS. HR was measured from electrocardiogram (ECG) and echocardiograph (Echo) Doppler recordings. We examined 2248 single-nucleotide polymorphisms (SNPs) on chromosome 9p21 for association using a gene-centric statistical test. We replicated the aforementioned QTL [logarithm of odds (LOD) = 4.83; genome-wide P= 0.0003] on chromosome 9p21 in one SHFS population using joint linkage of ECG and Echo HR. After correcting for effective number of SNPs using a gene-centric test, six SNPs (rs7875153, rs7848524, rs4446809, rs10964759, rs1125488 and rs7853123) remained significant. We applied a novel bivariate association method, which was a joint test of association of a single locus to two traits using a standard additive genetic model. The SNP, rs7875153, provided the strongest evidence for association (P = 7.14 x 10(-6)). This SNP (rs7875153) is rare (minor allele frequency = 0.02) in AIs and is located within intron 9 of the gene KIAA1797. To support this association, we applied lymphocyte RNA expression data from the San Antonio Family Heart Study, a longitudinal study of CVD in Mexican Americans. Expression levels of KIAA1797 were significantly associated (P = 0.012) with HR. These findings in independent populations support that KIAA1797 genetic variation may be associated with HR but elucidation of a functional relationship requires additional study.
American Journal of Hypertension | 2008
Nora Franceschini; Jean W. MacCluer; Kathreen M. Rose; Sue Rutherford; Shelley A. Cole; Sandy Laston; Harald H H Göring; Vincent P. Diego; Mary J. Roman; Elisa T. Lee; Lyle G. Best; Barbara V. Howard; Richard R. Fabsitz; Kari E. North
BACKGROUND Pulse pressure, a measure of central arterial stiffness and a predictor of cardiovascular mortality, has known genetic components. METHODS To localize the genetic effects of pulse pressure, we conducted a genome-wide linkage analysis of 1,892 American-Indian participants of the Strong Heart Family Study (SHFS). Blood pressure was measured three times and the average of the last two measures was used for analyses. Pulse pressure, the difference between systolic blood pressure (SBP) and diastolic blood pressure (DBP), was log-transformed and adjusted for the effects of age and sex within each study center. Variance component linkage analyses were performed using marker allele frequencies derived from all individuals and multipoint identity-by-descent matrices calculated in Loki. RESULTS We identified a quantitative-trait locus influencing pulse pressure on chromosome 7 at 37 cM (marker D7S493, LOD = 3.3) and suggestive evidence of linkage on chromosome 19 at 92 cM (marker D19S888, LOD = 1.8). CONCLUSIONS The signal on 7p15.3 overlaps positive findings for pulse pressure among Utah population samples, suggesting that this region may harbor gene variants for blood pressure related traits.
International Journal of Obesity | 1997
Sue Rutherford; Dale R. Nyholt; Robert P. Curtain; Quinlan; Philip Thomas Gaffney; B. J. Morris; Lyn R. Griffiths
OBJECTIVE: To determine whether a microsatellite polymorphism located towards the 3’ end of the low density lipoprotein receptor gene (LDLR) is associated with obesity. DESIGN: A cross-sectional case-control study. SUBJECTS: One hundred and seven obese individuals, defined as a body mass index (BMI)≥26 kg/m2, and 163 lean individuals, defined as a BMI<26 kg/m2. MEASUREMENTS: BMI, blood pressure, serum lipids, alleles of LDLR microsatellite (106 bp, 108 bp and 112 bp). RESULTS: There was a significant association between variants of the LDLR microsatellite and obesity, in the overall tested population, due to a contributing effect in females (χ2=12.3, P=0.002), but not in males (χ2=0.3, P=0.87). In females, individuals with the 106 bp allele were more likely to be lean, while individuals with the 112 bp and/or 108 bp alleles tended to be obese. CONCLUSIONS: These results suggest that in females, LDLR may play a role in the development of obesity.
Journal of Lipids | 2012
Ellen E. Quillen; David L. Rainwater; Thomas D. Dyer; Melanie A. Carless; Joanne E. Curran; Matthew P. Johnson; Harald H H Göring; Shelley A. Cole; Sue Rutherford; Jean W. MacCluer; Eric K. Moses; John Blangero; Laura Almasy; Michael C. Mahaney
The high-density-lipoprotein-(HDL-) associated esterase paraoxonase 1 (PON1) is a likely contributor to the antioxidant and antiatherosclerotic capabilities of HDL. Two nonsynonymous mutations in the structural gene, PON1, have been associated with variation in activity levels, but substantial interindividual differences remain unexplained and are greatest for substrates other than the eponymous paraoxon. PON1 activity levels were measured for three substrates—organophosphate paraoxon, arylester phenyl acetate, and lactone dihydrocoumarin—in 767 Mexican American individuals from San Antonio, Texas. Genetic influences on activity levels for each substrate were evaluated by association with approximately one million single nucleotide polymorphism (SNPs) while conditioning on PON1 genotypes. Significant associations were detected at five loci including regions on chromosomes 4 and 17 known to be associated with atherosclerosis and lipoprotein regulation and loci on chromosome 3 that regulate ubiquitous transcription factors. These loci explain 7.8% of variation in PON1 activity with lactone as a substrate, 5.6% with the arylester, and 3.0% with paraoxon. In light of the potential importance of PON1 in preventing cardiovascular disease/events, these novel loci merit further investigation.
Circulation-cardiovascular Genetics | 2009
Nora Franceschini; Kathryn M. Rose; Kristi L. Storti; Sue Rutherford; V. Saroja Voruganti; Sandy Laston; Harald H H Göring; Thomas D. Dyer; Jason G. Umans; Elisa T. Lee; Lyle G. Best; Richard R. Fabsitz; Shelley A. Cole; Jean W. MacCluer; Kari E. North
Background—Population studies have demonstrated an important role of social, behavioral, and environmental factors in blood pressure (BP) levels. Accounting for the genetic interaction of these factors may help to identify common BP susceptibility alleles. Methods and Results—We studied the interaction of additive genetic effects and behavioral (physical activity, smoking, alcohol use) and socioeconomic (education) factors on BP in ≈3600 American Indian participants of the Strong Heart Family Study, using variance component models. The mean and SD of resting systolic and diastolic BPs were 123±17 and 76±11 mm Hg, respectively. We detected evidence for distinct genetic effects on diastolic BP among ever smokers compared with never smokers (P=0.01). For alcohol intake, we observed significant genotype-by-environment interactions on diastolic (&rgr;g=0.10, P=0.0003) and on systolic BPs (&rgr;g=0.59, P=0.0008) among current drinkers compared with former or never drinkers. We also detected genotype-by-physical activity interactions on diastolic BP (&rgr;g=0.35, P=0.0004). Finally, there was evidence for distinct genetic effects on diastolic BP among individuals with less than high school education compared with those with 12 or more years of education (&rgr;g=0.41, P=0.02). Conclusions—Our findings suggest that behavioral and socioeconomic factors can modify the genetic effects on BP phenotypes. Accounting for context dependent factors may help us to better understand the complexities of the gene effects on BP and other complex phenotypes with high levels of genetic heterogeneity.
BMC Medical Genetics | 2008
Patrick F. McArdle; Sue Rutherford; Braxton D. Mitchell; Coleen M. Damcott; Ying Wang; Sandy Ott; Yen-Pei C. Chang; Daniel Levy; Nanette I. Steinle
BackgroundSystemic blood pressure, influenced by both genetic and environmental factors, is regulated via sympathetic nerve activity. We assessed the role of genetic variation in three subunits of the neuromuscular nicotinic acetylcholine receptor positioned on chromosome 2q, a region showing replicated evidence of linkage to blood pressure.MethodsWe sequenced CHRNA1, CHRND and CHRNG in 24 Amish subjects from the Amish Family Diabetes Study (AFDS) and identified 20 variants. We then performed association analysis of non-redundant variants (n = 12) in the complete AFDS cohort of 1,189 individuals, and followed by genotyping blood pressure-associated variants (n = 5) in a replication sample of 1,759 individuals from the Framingham Heart Study (FHS).ResultsThe minor allele of a synonymous coding SNP, rs2099489 in CHRNG, was associated with higher systolic blood pressure in both the Amish (p = 0.0009) and FHS populations (p = 0.009) (minor allele frequency = 0.20 in both populations).ConclusionCHRNG is currently thought to be expressed only during fetal development. These findings support the Barker hypothesis, that fetal genotype and intra-uterine environment influence susceptibility to chronic diseases later in life. Additional studies of this variant in other populations, as well as the effect of this variant on acetylcholine receptor expression and function, are needed to further elucidate its potential role in the regulation of blood pressure. This study suggests for the first time in humans, a possible role for genetic variation in the neuromuscular nicotinic acetylcholine receptor, particularly the gamma subunit, in systolic blood pressure regulation.