Sandra L. Deming
Vanderbilt University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Sandra L. Deming.
Nature Genetics | 2009
Wei Zheng; Jirong Long; Yu-Tang Gao; Chun Li; Ying Zheng; Yong Bin Xiang; Wanqing Wen; Shawn Levy; Sandra L. Deming; Jonathan L. Haines; Kai Gu; Alecia M. Fair; Qiuyin Cai; Wei Lu; Xiao-Ou Shu
We carried out a genome-wide association study among Chinese women to identify risk variants for breast cancer. After analyzing 607,728 SNPs in 1,505 cases and 1,522 controls, we selected 29 SNPs for a fast-track replication in an independent set of 1,554 cases and 1,576 controls. We further investigated four replicated loci in a third set of samples comprising 3,472 cases and 900 controls. SNP rs2046210 at 6q25.1, located upstream of the gene encoding estrogen receptor α (ESR1), showed strong and consistent association with breast cancer across all three stages. Adjusted odds ratio (95% CI) were 1.36 (1.24–1.49) and 1.59 (1.40–1.82), respectively, for genotypes A/G and A/A versus G/G (P for trend 2.0 × 10−15) in the pooled analysis of samples from all three stages. We also found a similar, albeit weaker, association in an independent study comprising 1,591 cases and 1,466 controls of European ancestry (Ptrend = 0.01). These results strongly implicate 6q25.1 as a susceptibility locus for breast cancer.
Nature | 2011
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.
PLOS Genetics | 2010
Jirong Long; Qiuyin Cai; Xiao-Ou Shu; Shimian Qu; Chun Li; Ying Zheng; Kai Gu; Wenjing Wang; Yong Bing Xiang; Jia-Rong Cheng; Kexin Chen; Lina Zhang; Hong Zheng; Chen-Yang Shen; Chiun-Sheng Huang; Ming Feng Hou; Hongbing Shen; Zhibin Hu; Furu Wang; Sandra L. Deming; Mark C. Kelley; Martha J. Shrubsole; Us Khoo; Kelvin Yk Chan; Sum Yin Chan; Christopher A. Haiman; Brian E. Henderson; Loic Le Marchand; Motoki Iwasaki; Yoshio Kasuga
Genetic factors play an important role in the etiology of breast cancer. We carried out a multi-stage genome-wide association (GWA) study in over 28,000 cases and controls recruited from 12 studies conducted in Asian and European American women to identify genetic susceptibility loci for breast cancer. After analyzing 684,457 SNPs in 2,073 cases and 2,084 controls in Chinese women, we evaluated 53 SNPs for fast-track replication in an independent set of 4,425 cases and 1,915 controls of Chinese origin. Four replicated SNPs were further investigated in an independent set of 6,173 cases and 6,340 controls from seven other studies conducted in Asian women. SNP rs4784227 was consistently associated with breast cancer risk across all studies with adjusted odds ratios (95% confidence intervals) of 1.25 (1.20−1.31) per allele (P = 3.2×10−25) in the pooled analysis of samples from all Asian samples. This SNP was also associated with breast cancer risk among European Americans (per allele OR = 1.19, 95% CI = 1.09−1.31, P = 1.3×10−4, 2,797 cases and 2,662 controls). SNP rs4784227 is located at 16q12.1, a region identified previously for breast cancer risk among Europeans. The association of this SNP with breast cancer risk remained highly statistically significant in Asians after adjusting for previously-reported SNPs in this region. In vitro experiments using both luciferase reporter and electrophoretic mobility shift assays demonstrated functional significance of this SNP. These results provide strong evidence implicating rs4784227 as a functional causal variant for breast cancer in the locus 16q12.1 and demonstrate the utility of conducting genetic association studies in populations with different genetic architectures.
PLOS Genetics | 2011
Bogdan Pasaniuc; Noah Zaitlen; Guillaume Lettre; Gary K. Chen; Arti Tandon; W.H. Linda Kao; Ingo Ruczinski; Myriam Fornage; David S. Siscovick; Xiaofeng Zhu; Emma K. Larkin; Leslie A. Lange; L. Adrienne Cupples; Qiong Yang; Ermeg L. Akylbekova; Solomon K. Musani; Jasmin Divers; Joe Mychaleckyj; Mingyao Li; George J. Papanicolaou; Robert C. Millikan; Christine B. Ambrosone; Esther M. John; Leslie Bernstein; Wei Zheng; Jennifer J. Hu; Regina G. Ziegler; Sarah J. Nyante; Elisa V. Bandera; Sue A. Ingles
While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.
Translational Psychiatry | 2012
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.
Cancer Epidemiology, Biomarkers & Prevention | 2009
Wei Zheng; Qiuyin Cai; Lisa B. Signorello; Jirong Long; Margaret K. Hargreaves; Sandra L. Deming; Guoliang Li; Chun Li; Yong Cui; William J. Blot
Recent genome-wide association studies (GWAS) have identified multiple common genetic risk variants for breast cancer among women of Asian and European ancestry. Investigating these genetic susceptibility loci in other populations would be helpful to evaluate the generalizability of the findings and identify the causal variants for breast cancer. We evaluated 11 GWAS-identified genetic susceptibility loci for breast cancer in a study including 2,594 African-American women (810 cases and 1,784 controls). Two single-nucleotide polymorphisms, rs13387042 (2q35) and rs1219648 (FGFR2 gene), were found to be associated with breast cancer risk. Risk increased nearly linearly with the number of affected risk alleles, with a 2-fold elevated risk for women homozygous for the risk alleles in both single-nucleotide polymorphisms. No additional significant associations, however, were identified for the other nine loci evaluated in the study. The results from this study extend some of the recent GWAS findings to African-Americans and may guide future efforts to identify the causal variants for breast cancer. (Cancer Epidemiol Biomarkers Prev 2009;18(10):2761–4)
PLOS Genetics | 2011
Amidou N'Diaye; Gary K. Chen; C. Palmer; Bing Ge; Bamidele O. Tayo; Rasika A. Mathias; Jingzhong Ding; Michael A. Nalls; Adebowale Adeyemo; Véronique Adoue; Christine B. Ambrosone; Larry D. Atwood; Elisa V. Bandera; Lewis C. Becker; Sonja I. Berndt; Leslie Bernstein; William J. Blot; Eric Boerwinkle; Angela Britton; Graham Casey; Stephen J. Chanock; Ellen W. Demerath; Sandra L. Deming; W. Ryan Diver; Caroline S. Fox; Tamara B. Harris; Dena Hernandez; Jennifer J. Hu; Sue A. Ingles; Esther M. John
Adult height is a classic polygenic trait of high heritability (h 2 ∼0.8). More than 180 single nucleotide polymorphisms (SNPs), identified mostly in populations of European descent, are associated with height. These variants convey modest effects and explain ∼10% of the variance in height. Discovery efforts in other populations, while limited, have revealed loci for height not previously implicated in individuals of European ancestry. Here, we performed a meta-analysis of genome-wide association (GWA) results for adult height in 20,427 individuals of African ancestry with replication in up to 16,436 African Americans. We found two novel height loci (Xp22-rs12393627, P = 3.4×10−12 and 2p14-rs4315565, P = 1.2×10−8). As a group, height associations discovered in European-ancestry samples replicate in individuals of African ancestry (P = 1.7×10−4 for overall replication). Fine-mapping of the European height loci in African-ancestry individuals showed an enrichment of SNPs that are associated with expression of nearby genes when compared to the index European height SNPs (P<0.01). Our results highlight the utility of genetic studies in non-European populations to understand the etiology of complex human diseases and traits.
Cancer Research | 2011
Qiuyin Cai; Wanqing Wen; Shimian Qu; Guoliang Li; Kathleen M. Egan; Kexin Chen; Sandra L. Deming; Hongbing Shen; Chen-Yang Shen; Marilie D. Gammon; William J. Blot; Keitaro Matsuo; Christopher A. Haiman; Us Khoo; Motoki Iwasaki; Regina M. Santella; Lina Zhang; Alecia M. Fair; Zhibin Hu; Pei Ei Wu; Lisa B. Signorello; Linda Titus-Ernstoff; Kazuo Tajima; Brian E. Henderson; Kelvin Yuen-Kwong Chan; Yoshio Kasuga; Polly A. Newcomb; Hong Zheng; Yong Cui; Furu Wang
We evaluated the generalizability of a single nucleotide polymorphism (SNP), rs2046210 (A/G allele), associated with breast cancer risk that was initially identified at 6q25.1 in a genome-wide association study conducted among Chinese women. In a pooled analysis of more than 31,000 women of East-Asian, European, and African ancestry, we found a positive association for rs2046210 and breast cancer risk in Chinese women [ORs (95% CI) = 1.30 (1.22-1.38) and 1.64 (1.50-1.80) for the AG and AA genotypes, respectively, P for trend = 1.54 × 10⁻³⁰], Japanese women [ORs (95% CI) = 1.31 (1.13-1.52) and 1.37 (1.06-1.76), P for trend = 2.51 × 10⁻⁴], and European-ancestry American women [ORs (95% CI) = 1.07 (0.99-1.16) and 1.18 (1.04-1.34), P for trend = 0.0069]. No association with this SNP, however, was observed in African American women [ORs (95% CI) = 0.81 (0.63-1.06) and 0.85 (0.65-1.11) for the AG and AA genotypes, respectively, P for trend = 0.4027]. In vitro functional genomic studies identified a putative functional variant, rs6913578. This SNP is 1,440 bp downstream of rs2046210 and is in high linkage disequilibrium with rs2046210 in Chinese (r(2) = 0.91) and European-ancestry (r² = 0.83) populations, but not in Africans (r² = 0.57). SNP rs6913578 was found to be associated with breast cancer risk in Chinese and European-ancestry American women. After adjusting for rs2046210, the association of rs6913578 with breast cancer risk in African Americans approached borderline significance. Results from this large consortium study confirmed the association of rs2046210 with breast cancer risk among women of Chinese, Japanese, and European ancestry. This association may be explained in part by a putatively functional variant (rs6913578) identified in the region.
Human Molecular Genetics | 2011
Fang Chen; Gary K. Chen; Robert C. Millikan; Esther M. John; Christine B. Ambrosone; Leslie Bernstein; Wei Zheng; Jennifer J. Hu; Regina G. Ziegler; Sandra L. Deming; Elisa V. Bandera; Sarah J. Nyante; Julie R. Palmer; Timothy R. Rebbeck; Sue A. Ingles; Michael F. Press; Jorge L. Rodriguez-Gil; Stephen J. Chanock; Loı̈c Le Marchand; Laurence N. Kolonel; Brian E. Henderson; Daniel O. Stram; Christopher A. Haiman
Genome-wide association studies (GWAS) have revealed 19 common genetic variants that are associated with breast cancer risk. Testing of the index signals found through GWAS and fine-mapping of each locus in diverse populations will be necessary for characterizing the role of these risk regions in contributing to inherited susceptibility. In this large study of breast cancer in African-American women (3016 cases and 2745 controls), we tested the 19 known risk variants identified by GWAS and replicated associations (P < 0.05) with only 4 variants. Through fine-mapping, we identified markers in four regions that better capture the association with breast cancer risk in African Americans as defined by the index signal (2q35, 5q11, 10q26 and 19p13). We also identified statistically significant associations with markers in four separate regions (8q24, 10q22, 11q13 and 16q12) that are independent of the index signals and may represent putative novel risk variants. In aggregate, the more informative markers found in the study enhance the association of these risk regions with breast cancer in African Americans [per allele odds ratio (OR) = 1.18, P = 2.8 × 10(-24) versus OR = 1.04, P = 6.1 × 10(-5)]. In this detailed analysis of the known breast cancer risk loci, we have validated and improved upon markers of risk that better characterize their association with breast cancer in women of African ancestry.
American Journal of Human Genetics | 2014
Gaurav Bhatia; Arti Tandon; Nick Patterson; Melinda C. Aldrich; Christine B. Ambrosone; Christopher I. Amos; Elisa V. Bandera; Sonja I. Berndt; Leslie Bernstein; William J. Blot; Cathryn H. Bock; Neil E. Caporaso; Graham Casey; Sandra L. Deming; W. Ryan Diver; Susan M. Gapstur; Elizabeth M. Gillanders; Curtis C. Harris; Brian E. Henderson; Sue A. Ingles; William B. Isaacs; Phillip L. De Jager; Esther M. John; Rick A. Kittles; Emma K. Larkin; Lorna H. McNeill; Robert C. Millikan; Adam B. Murphy; Christine Neslund-Dudas; Sarah J. Nyante
The extent of recent selection in admixed populations is currently an unresolved question. We scanned the genomes of 29,141 African Americans and failed to find any genome-wide-significant deviations in local ancestry, indicating no evidence of selection influencing ancestry after admixture. A recent analysis of data from 1,890 African Americans reported that there was evidence of selection in African Americans after their ancestors left Africa, both before and after admixture. Selection after admixture was reported on the basis of deviations in local ancestry, and selection before admixture was reported on the basis of allele-frequency differences between African Americans and African populations. The local-ancestry deviations reported by the previous study did not replicate in our very large sample, and we show that such deviations were expected purely by chance, given the number of hypotheses tested. We further show that the previous studys conclusion of selection in African Americans before admixture is also subject to doubt. This is because the FST statistics they used were inflated and because true signals of unusual allele-frequency differences between African Americans and African populations would be best explained by selection that occurred in Africa prior to migration to the Americas.