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13 results on '"Sara S. Strom"'

1. Author Correction: Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Author

Marco Matejcic, Edward J. Saunders, Tokhir Dadaev, Mark N. Brook, Kan Wang, Xin Sheng, Ali Amin Al Olama, Fredrick R. Schumacher, Sue A. Ingles, Koveela Govindasami, Sara Benlloch, Sonja I. Berndt, Demetrius Albanes, Stella Koutros, Kenneth Muir, Victoria L. Stevens, Susan M. Gapstur, Catherine M. Tangen, Jyotsna Batra, Judith Clements, Henrik Gronberg, Nora Pashayan, Johanna Schleutker, Alicja Wolk, Catharine West, Lorelei Mucci, Peter Kraft, Géraldine Cancel-Tassin, Karina D. Sorensen, Lovise Maehle, Eli M. Grindedal, Sara S. Strom, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Ruth C. Travis, Robert J. Hamilton, Barry Rosenstein, Yong-Jie Lu, Graham G. Giles, Adam S. Kibel, Ana Vega, Jeanette T. Bensen, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanford, Cezary Cybulski, Børge G. Nordestgaard, Hermann Brenner, Christiane Maier, Jeri Kim, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Manuela Gago-Dominguez, Monique J. Roobol, Florence Menegaux, Kay-Tee Khaw, Lisa A. Cannon-Albright, Hardev Pandha, Stephen N. Thibodeau, Daniel J. Schaid, The PRACTICAL Consortium, Fredrik Wiklund, Stephen J. Chanock, Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, David V. Conti, and Christopher A. Haiman

Subjects
Science
Abstract

The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.

Published
2019
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2. Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Author

Marco Matejcic, Edward J. Saunders, Tokhir Dadaev, Mark N. Brook, Kan Wang, Xin Sheng, Ali Amin Al Olama, Fredrick R. Schumacher, Sue A. Ingles, Koveela Govindasami, Sara Benlloch, Sonja I. Berndt, Demetrius Albanes, Stella Koutros, Kenneth Muir, Victoria L. Stevens, Susan M. Gapstur, Catherine M. Tangen, Jyotsna Batra, Judith Clements, Henrik Gronberg, Nora Pashayan, Johanna Schleutker, Alicja Wolk, Catharine West, Lorelei Mucci, Peter Kraft, Géraldine Cancel-Tassin, Karina D. Sorensen, Lovise Maehle, Eli M. Grindedal, Sara S. Strom, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Ruth C. Travis, Robert J. Hamilton, Barry Rosenstein, Yong-Jie Lu, Graham G. Giles, Adam S. Kibel, Ana Vega, Jeanette T. Bensen, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanford, Cezary Cybulski, Børge G. Nordestgaard, Hermann Brenner, Christiane Maier, Jeri Kim, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Manuela Gago-Dominguez, Monique J. Roobol, Florence Menegaux, Kay-Tee Khaw, Lisa A. Cannon-Albright, Hardev Pandha, Stephen N. Thibodeau, Daniel J. Schaid, The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Fredrik Wiklund, Stephen J. Chanock, Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, David V. Conti, and Christopher A. Haiman

Subjects
Science
Abstract

Chromosome 8q24 is known to be a major susceptibility region for prostate cancer risk. Here the authors analyze genetic data across the 8q24 region from 71,535 prostate cancer patients identifying 12 risk loci, three previously unreported, highlighting the contribution of germline variation at this locus.

Published
2018
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3. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Author

Alexander Gusev, Huwenbo Shi, Gleb Kichaev, Mark Pomerantz, Fugen Li, Henry W. Long, Sue A. Ingles, Rick A. Kittles, Sara S. Strom, Benjamin A. Rybicki, Barbara Nemesure, William B. Isaacs, Wei Zheng, Curtis A. Pettaway, Edward D. Yeboah, Yao Tettey, Richard B. Biritwum, Andrew A. Adjei, Evelyn Tay, Ann Truelove, Shelley Niwa, Anand P. Chokkalingam, Esther M. John, Adam B. Murphy, Lisa B. Signorello, John Carpten, M. Cristina Leske, Suh-Yuh Wu, Anslem J. M. Hennis, Christine Neslund-Dudas, Ann W. Hsing, Lisa Chu, Phyllis J. Goodman, Eric A. Klein, John S. Witte, Graham Casey, Sam Kaggwa, Michael B. Cook, Daniel O. Stram, William J. Blot, Rosalind A. Eeles, Douglas Easton, ZSofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Melissa C. Southey, Liesel M. Fitzgerald, Henrik Gronberg, Fredrik Wiklund, Markus Aly, Brian E. Henderson, Johanna Schleutker, Tiina Wahlfors, Teuvo L. J. Tammela, Børge G. Nordestgaard, Tim J. Key, Ruth C. Travis, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Paul Pharoah, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Christiane Maier, Walther Vogel, Manuel Luedeke, Kathleen Herkommer, Adam S. Kibel, Cezary Cybulski, Dominika Wokolorczyk, Wojciech Kluzniak, Lisa Cannon-Albright, Craig Teerlink, Hermann Brenner, Aida K. Dieffenbach, Volker Arndt, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lin, Chavdar Slavov, Radka Kaneva, Vanio Mitev, Jyotsna Batra, Amanda Spurdle, Judith A. Clements, Manuel R. Teixeira, Hardev Pandha, Agnieszka Michael, Paula Paulo, Sofia Maia, Andrzej Kierzek, The PRACTICAL consortium, David V. Conti, Demetrius Albanes, Christine Berg, Sonja I. Berndt, Daniele Campa, E. David Crawford, W. Ryan Diver, Susan M. Gapstur, J. Michael Gaziano, Edward Giovannucci, Robert Hoover, David J. Hunter, Mattias Johansson, Peter Kraft, Loic Le Marchand, Sara Lindström, Carmen Navarro, Kim Overvad, Elio Riboli, Afshan Siddiq, Victoria L. Stevens, Dimitrios Trichopoulos, Paolo Vineis, Meredith Yeager, Gosia Trynka, Soumya Raychaudhuri, Frederick R. Schumacher, Alkes L. Price, Matthew L. Freedman, Christopher A. Haiman, and Bogdan Pasaniuc

Subjects
Science
Abstract

Over one hundred loci have been identified to be associated with the familial risk of prostate cancer but the functional effects are poorly understood. Here the authors use single-nucleotide variant and epigentic data to show an underlying genetic architecture marked by histone modification.

Published
2016
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4. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author

Sonja I. Berndt, Nicola J. Camp, Christine F. Skibola, Joseph Vijai, Zhaoming Wang, Jian Gu, Alexandra Nieters, Rachel S. Kelly, Karin E. Smedby, Alain Monnereau, Wendy Cozen, Angela Cox, Sophia S. Wang, Qing Lan, Lauren R. Teras, Moara Machado, Meredith Yeager, Angela R. Brooks-Wilson, Patricia Hartge, Mark P. Purdue, Brenda M. Birmann, Claire M. Vajdic, Pierluigi Cocco, Yawei Zhang, Graham G. Giles, Anne Zeleniuch-Jacquotte, Charles Lawrence, Rebecca Montalvan, Laurie Burdett, Amy Hutchinson, Yuanqing Ye, Timothy G. Call, Tait D. Shanafelt, Anne J. Novak, Neil E. Kay, Mark Liebow, Julie M. Cunningham, Cristine Allmer, Henrik Hjalgrim, Hans-Olov Adami, Mads Melbye, Bengt Glimelius, Ellen T. Chang, Martha Glenn, Karen Curtin, Lisa A. Cannon-Albright, W Ryan Diver, Brian K. Link, George J. Weiner, Lucia Conde, Paige M. Bracci, Jacques Riby, Donna K. Arnett, Degui Zhi, Justin M. Leach, Elizabeth A. Holly, Rebecca D. Jackson, Lesley F. Tinker, Yolanda Benavente, Núria Sala, Delphine Casabonne, Nikolaus Becker, Paolo Boffetta, Paul Brennan, Lenka Foretova, Marc Maynadie, James McKay, Anthony Staines, Kari G. Chaffee, Sara J. Achenbach, Celine M. Vachon, Lynn R. Goldin, Sara S. Strom, Jose F. Leis, J. Brice Weinberg, Neil E. Caporaso, Aaron D. Norman, Anneclaire J. De Roos, Lindsay M. Morton, Richard K. Severson, Elio Riboli, Paolo Vineis, Rudolph Kaaks, Giovanna Masala, Elisabete Weiderpass, María- Dolores Chirlaque, Roel C. H. Vermeulen, Ruth C. Travis, Melissa C. Southey, Roger L. Milne, Demetrius Albanes, Jarmo Virtamo, Stephanie Weinstein, Jacqueline Clavel, Tongzhang Zheng, Theodore R. Holford, Danylo J. Villano, Ann Maria, John J. Spinelli, Randy D. Gascoyne, Joseph M. Connors, Kimberly A. Bertrand, Edward Giovannucci, Peter Kraft, Anne Kricker, Jenny Turner, Maria Grazia Ennas, Giovanni M. Ferri, Lucia Miligi, Liming Liang, Baoshan Ma, Jinyan Huang, Simon Crouch, Ju-Hyun Park, Nilanjan Chatterjee, Kari E. North, John A. Snowden, Josh Wright, Joseph F. Fraumeni, Kenneth Offit, Xifeng Wu, Silvia de Sanjose, James R. Cerhan, Stephen J. Chanock, Nathaniel Rothman, and Susan L. Slager

Subjects
Science
Abstract

Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPPassociated with risk of this disease.

Published
2016
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5. Assessing the Optimum Use of Androgen-Deprivation Therapy in High-Risk Prostate Cancer Patients Undergoing External Beam Radiation Therapy

Author

Michelle S. Ludwig MD, MPH, PhD, Deborah A. Kuban MD, Sara S. Strom PhD, Xianglin L. Du MD, PhD, David S. Lopez PhD, and Jose-Miguel Yamal PhD

Subjects
Medicine
Abstract

The optimum use of androgen deprivation therapy (ADT) in high-risk prostate cancer patients has not been defined in the setting of dose-escalated external beam radiation therapy. A retrospective analysis of 1,290 patients with high-risk prostate cancer from June 1987 through March 2010 treated with external beam radiation therapy was performed. Median follow-up was 7.2 years, and 797 patients received ADT, with 384 patients experiencing a biochemical failure and 145 with distant metastasis. ADT was associated with lower risk of biochemical failure and distant metastasis than no ADT after adjusting for age, prostate-specific antigen (PSA), Gleason score, year of diagnosis, tumor stage, and radiation dose. ADT was associated with a greater reduction in biochemical failure in the low-dose radiation group than in the high-dose group. Patients with >24 months of ADT had a lower risk of PSA failures than those with 24 months of ADT in all patients who received ADT.

Published
2017
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6. Racial/Ethnic Differences in Treatment Discussed, Preferred, and Received for Prostate Cancer in a Tri-Ethnic Population

Author

G. M. Monawar Hosain MD, PhD, Maureen Sanderson PhD, Xianglin L. Du MD, PhD, Wenyaw Chan PhD, and Sara S. Strom PhD

Subjects
Medicine
Abstract

This study was conducted to explore whether racial/ethnic differences exist in treatment discussed, preferred, and ultimately received for localized prostate cancer (PCa) as epidemiological data are scant on this issue. The authors recruited 640 localized PCa patients from the Texas Medical Center, Houston, Texas, between 1996 and 2004. The authors used a structured questionnaire to collect data through personal interviews. Three main treatment modalities for localized PCa, consisting of surgery, radiation therapy, and watchful waiting, were considered for this study. It was found that health professionals were less likely to discuss surgery (odds ratio [OR] = 0.35, 95% confidence interval [CI] = 0.18-0.68) and watchful waiting (OR = 0.53, 95% CI = 0.34-0.83) with Hispanics than Whites. However, African Americans were less likely to receive watchful waiting (OR = 0.22, 95% CI = 0.05-0.93). They were more likely to prefer (OR = 1.23, 95% CI = 0.78-1.94) and receive (OR = 1.27, 95% CI = 0.87-1.86) radiation therapy, although they did not achieve statistical significance ( p < .05). Higher age was associated with lower likelihood of discussing, preferring, and receiving surgical treatment. Higher Gleason sum was associated with lower likelihood of discussing treatment. A comparison of concordances between treatment preferred by patients and what was actually received, in general, showed a higher agreement for surgery and radiation therapy. More exploration needs to be done in other settings to confirm these findings.

Published
2012
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7. Correction: Identification, Replication, and Fine-Mapping of Loci Associated with Adult Height in Individuals of African Ancestry.

Author

Amidou N'Diaye, Gary K. Chen, Cameron D. Palmer, Bing Ge, Bamidele Tayo, Rasika A. Mathias, Jingzhong Ding, Michael A. Nalls, Adebowale Adeyemo, Véronique Adoue, Christine B. Ambrosone, Larry 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 Demerath, Sandra L. Deming, W. Ryan Diver, Caroline Fox, Tamara B. Harris, Dena G. Hernandez, Jennifer J. Hu, Sue A. Ingles, Esther M. John, Craig Johnson, Brendan Keating, Rick A. Kittles, Laurence N. Kolonel, Stephen B. Kritchevsky, Loic Le Marchand, Kurt Lohman, Jiankang Liu, Robert C. Millikan, Adam Murphy, Solomon Musani, Christine Neslund-Dudas, Kari E. North, Sarah Nyante, Adesola Ogunniyi, Elaine A. Ostrander, George Papanicolaou, Sanjay Patel, Curtis A. Pettaway, Michael F. Press, Susan Redline, Jorge L. Rodriguez-Gil, Charles Rotimi, Benjamin A. Rybicki, Babatunde Salako, Pamela J. Schreiner, Lisa B. Signorello, Andrew B. Singleton, Janet L. Stanford, Alex H. Stram, Daniel O. Stram, Sara S. Strom, Bhoom Suktitipat, Michael J. Thun, John S. Witte, Lisa R. Yanek, Regina G. Ziegler, Wei Zheng, Xiaofeng Zhu, Joseph M. Zmuda, Alan B. Zonderman, Michele K. Evans, Yongmei Liu, Diane M. Becker, Richard S. Cooper, Tomi Pastinen, Brian E. Henderson, Joel N. Hirschhorn, Guillaume Lettre, and Christopher A. Haiman

Subjects
Genetics, QH426-470
Published
2011
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8. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium.

Author

Maggie C Y Ng, Mariaelisa Graff, Yingchang Lu, Anne E Justice, Poorva Mudgal, Ching-Ti Liu, Kristin Young, Lisa R Yanek, Mary F Feitosa, Mary K Wojczynski, Kristin Rand, Jennifer A Brody, Brian E Cade, Latchezar Dimitrov, Qing Duan, Xiuqing Guo, Leslie A Lange, Michael A Nalls, Hayrettin Okut, Salman M Tajuddin, Bamidele O Tayo, Sailaja Vedantam, Jonathan P Bradfield, Guanjie Chen, Wei-Min Chen, Alessandra Chesi, Marguerite R Irvin, Badri Padhukasahasram, Jennifer A Smith, Wei Zheng, Matthew A Allison, Christine B Ambrosone, Elisa V Bandera, Traci M Bartz, Sonja I Berndt, Leslie Bernstein, William J Blot, Erwin P Bottinger, John Carpten, Stephen J Chanock, Yii-Der Ida Chen, David V Conti, Richard S Cooper, Myriam Fornage, Barry I Freedman, Melissa Garcia, Phyllis J Goodman, Yu-Han H Hsu, Jennifer Hu, Chad D Huff, Sue A Ingles, Esther M John, Rick Kittles, Eric Klein, Jin Li, Barbara McKnight, Uma Nayak, Barbara Nemesure, Adesola Ogunniyi, Andrew Olshan, Michael F Press, Rebecca Rohde, Benjamin A Rybicki, Babatunde Salako, Maureen Sanderson, Yaming Shao, David S Siscovick, Janet L Stanford, Victoria L Stevens, Alex Stram, Sara S Strom, Dhananjay Vaidya, John S Witte, Jie Yao, Xiaofeng Zhu, Regina G Ziegler, Alan B Zonderman, Adebowale Adeyemo, Stefan Ambs, Mary Cushman, Jessica D Faul, Hakon Hakonarson, Albert M Levin, Katherine L Nathanson, Erin B Ware, David R Weir, Wei Zhao, Degui Zhi, Bone Mineral Density in Childhood Study (BMDCS) Group, Donna K Arnett, Struan F A Grant, Sharon L R Kardia, Olufunmilayo I Oloapde, D C Rao, Charles N Rotimi, Michele M Sale, L Keoki Williams, Babette S Zemel, Diane M Becker, Ingrid B Borecki, Michele K Evans, Tamara B Harris, Joel N Hirschhorn, Yun Li, Sanjay R Patel, Bruce M Psaty, Jerome I Rotter, James G Wilson, Donald W Bowden, L Adrienne Cupples, Christopher A Haiman, Ruth J F Loos, and Kari E North

Subjects
Genetics, QH426-470
Abstract

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5×10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (

Published
2017
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9. Methodological Considerations in Estimation of Phenotype Heritability Using Genome-Wide SNP Data, Illustrated by an Analysis of the Heritability of Height in a Large Sample of African Ancestry Adults.

Author

Fang Chen, Jing He, Jianqi Zhang, Gary K Chen, Venetta Thomas, Christine B Ambrosone, Elisa V Bandera, Sonja I Berndt, Leslie Bernstein, William J Blot, Qiuyin Cai, John Carpten, Graham Casey, Stephen J Chanock, Iona Cheng, Lisa Chu, Sandra L Deming, W Ryan Driver, Phyllis Goodman, Richard B Hayes, Anselm J M Hennis, Ann W Hsing, Jennifer J Hu, Sue A Ingles, Esther M John, Rick A Kittles, Suzanne Kolb, M Cristina Leske, Robert C Millikan, Kristine R Monroe, Adam Murphy, Barbara Nemesure, Christine Neslund-Dudas, Sarah Nyante, Elaine A Ostrander, Michael F Press, Jorge L Rodriguez-Gil, Ben A Rybicki, Fredrick Schumacher, Janet L Stanford, Lisa B Signorello, Sara S Strom, Victoria Stevens, David Van Den Berg, Zhaoming Wang, John S Witte, Suh-Yuh Wu, Yuko Yamamura, Wei Zheng, Regina G Ziegler, Alexander H Stram, Laurence N Kolonel, Loïc Le Marchand, Brian E Henderson, Christopher A Haiman, and Daniel O Stram

Subjects
Medicine, Science
Abstract

Height has an extremely polygenic pattern of inheritance. Genome-wide association studies (GWAS) have revealed hundreds of common variants that are associated with human height at genome-wide levels of significance. However, only a small fraction of phenotypic variation can be explained by the aggregate of these common variants. In a large study of African-American men and women (n = 14,419), we genotyped and analyzed 966,578 autosomal SNPs across the entire genome using a linear mixed model variance components approach implemented in the program GCTA (Yang et al Nat Genet 2010), and estimated an additive heritability of 44.7% (se: 3.7%) for this phenotype in a sample of evidently unrelated individuals. While this estimated value is similar to that given by Yang et al in their analyses, we remain concerned about two related issues: (1) whether in the complete absence of hidden relatedness, variance components methods have adequate power to estimate heritability when a very large number of SNPs are used in the analysis; and (2) whether estimation of heritability may be biased, in real studies, by low levels of residual hidden relatedness. We addressed the first question in a semi-analytic fashion by directly simulating the distribution of the score statistic for a test of zero heritability with and without low levels of relatedness. The second question was addressed by a very careful comparison of the behavior of estimated heritability for both observed (self-reported) height and simulated phenotypes compared to imputation R2 as a function of the number of SNPs used in the analysis. These simulations help to address the important question about whether today's GWAS SNPs will remain useful for imputing causal variants that are discovered using very large sample sizes in future studies of height, or whether the causal variants themselves will need to be genotyped de novo in order to build a prediction model that ultimately captures a large fraction of the variability of height, and by implication other complex phenotypes. Our overall conclusions are that when study sizes are quite large (5,000 or so) the additive heritability estimate for height is not apparently biased upwards using the linear mixed model; however there is evidence in our simulation that a very large number of causal variants (many thousands) each with very small effect on phenotypic variance will need to be discovered to fill the gap between the heritability explained by known versus unknown causal variants. We conclude that today's GWAS data will remain useful in the future for causal variant prediction, but that finding the causal variants that need to be predicted may be extremely laborious.

Published
2015
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10. The Relationship between Native American Ancestry, Body Mass Index and Diabetes Risk among Mexican-Americans.

Author

Hao Hu, Chad D Huff, Yuko Yamamura, Xifeng Wu, and Sara S Strom

Subjects
Medicine, Science
Abstract

Higher body mass index (BMI) is a well-established risk factor for type 2 diabetes, and rates of obesity and type 2 diabetes are substantially higher among Mexican-Americans relative to non-Hispanic European Americans. Mexican-Americans are genetically diverse, with a highly variable distribution of Native American, European, and African ancestries. Here, we evaluate the role of Native American ancestry on BMI and diabetes risk in a well-defined Mexican-American population. Participants were randomly selected among individuals residing in the Houston area who are enrolled in the Mexican-American Cohort study. Using a custom Illumina GoldenGate Panel, we genotyped DNA from 4,662 cohort participants for 87 Ancestry-Informative Markers. On average, the participants were of 50.2% Native American ancestry, 42.7% European ancestry and 7.1% African ancestry. Using multivariate linear regression, we found BMI and Native American ancestry were inversely correlated; individuals with 80% Native American ancestry. Furthermore, we demonstrated an interaction between BMI and Native American ancestry in diabetes risk among women; Native American ancestry was a strong risk factor for diabetes only among overweight and obese women (OR = 1.190 for each 10% increase in Native American ancestry). This study offers new insight into the complex relationship between obesity, genetic ancestry, and their respective effects on diabetes risk. Findings from this study may improve the diabetes risk prediction among Mexican-American individuals thereby facilitating targeted prevention strategies.

Published
2015
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11. Genome-wide association of body fat distribution in African ancestry populations suggests new loci.

Author

Ching-Ti Liu, Keri L Monda, Kira C Taylor, Leslie Lange, Ellen W Demerath, Walter Palmas, Mary K Wojczynski, Jaclyn C Ellis, Mara Z Vitolins, Simin Liu, George J Papanicolaou, Marguerite R Irvin, Luting Xue, Paula J Griffin, Michael A Nalls, Adebowale Adeyemo, Jiankang Liu, Guo Li, Edward A Ruiz-Narvaez, Wei-Min Chen, Fang Chen, Brian E Henderson, Robert C Millikan, Christine B Ambrosone, Sara S Strom, Xiuqing Guo, Jeanette S Andrews, Yan V Sun, Thomas H Mosley, Lisa R Yanek, Daniel Shriner, Talin Haritunians, Jerome I Rotter, Elizabeth K Speliotes, Megan Smith, Lynn Rosenberg, Josyf Mychaleckyj, Uma Nayak, Ida Spruill, W Timothy Garvey, Curtis Pettaway, Sarah Nyante, Elisa V Bandera, Angela F Britton, Alan B Zonderman, Laura J Rasmussen-Torvik, Yii-Der Ida Chen, Jingzhong Ding, Kurt Lohman, Stephen B Kritchevsky, Wei Zhao, Patricia A Peyser, Sharon L R Kardia, Edmond Kabagambe, Ulrich Broeckel, Guanjie Chen, Jie Zhou, Sylvia Wassertheil-Smoller, Marian L Neuhouser, Evadnie Rampersaud, Bruce Psaty, Charles Kooperberg, Joann E Manson, Lewis H Kuller, Heather M Ochs-Balcom, Karen C Johnson, Lara Sucheston, Jose M Ordovas, Julie R Palmer, Christopher A Haiman, Barbara McKnight, Barbara V Howard, Diane M Becker, Lawrence F Bielak, Yongmei Liu, Matthew A Allison, Struan F A Grant, Gregory L Burke, Sanjay R Patel, Pamela J Schreiner, Ingrid B Borecki, Michele K Evans, Herman Taylor, Michele M Sale, Virginia Howard, Christopher S Carlson, Charles N Rotimi, Mary Cushman, Tamara B Harris, Alexander P Reiner, L Adrienne Cupples, Kari E North, and Caroline S Fox

Subjects
Genetics, QH426-470
Abstract

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values

Published
2013
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12. Identification, replication, and fine-mapping of Loci associated with adult height in individuals of african ancestry.

Author

Amidou N'Diaye, Gary K Chen, Cameron D Palmer, Bing Ge, Bamidele Tayo, Rasika A Mathias, Jingzhong Ding, Michael A Nalls, Adebowale Adeyemo, Véronique Adoue, Christine B Ambrosone, Larry 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 Demerath, Sandra L Deming, W Ryan Diver, Caroline Fox, Tamara B Harris, Dena G Hernandez, Jennifer J Hu, Sue A Ingles, Esther M John, Craig Johnson, Brendan Keating, Rick A Kittles, Laurence N Kolonel, Stephen B Kritchevsky, Loic Le Marchand, Kurt Lohman, Jiankang Liu, Robert C Millikan, Adam Murphy, Solomon Musani, Christine Neslund-Dudas, Kari E North, Sarah Nyante, Adesola Ogunniyi, Elaine A Ostrander, George Papanicolaou, Sanjay Patel, Curtis A Pettaway, Michael F Press, Susan Redline, Jorge L Rodriguez-Gil, Charles Rotimi, Benjamin A Rybicki, Babatunde Salako, Pamela J Schreiner, Lisa B Signorello, Andrew B Singleton, Janet L Stanford, Alex H Stram, Daniel O Stram, Sara S Strom, Bhoom Suktitipat, Michael J Thun, John S Witte, Lisa R Yanek, Regina G Ziegler, Wei Zheng, Xiaofeng Zhu, Joseph M Zmuda, Alan B Zonderman, Michele K Evans, Yongmei Liu, Diane M Becker, Richard S Cooper, Tomi Pastinen, Brian E Henderson, Joel N Hirschhorn, Guillaume Lettre, and Christopher A Haiman

Subjects
Genetics, QH426-470
Abstract

Adult height is a classic polygenic trait of high heritability (h(2) approximately 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 approximately10% 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

Published
2011
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13. Characterizing genetic risk at known prostate cancer susceptibility loci in African Americans.

Author

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, Stephen J Chanock, Suzanne Kolb, Lisa B Signorello, Yuko Yamamura, Christine Neslund-Dudas, Michael J Thun, Adam Murphy, Graham Casey, Xin Sheng, Peggy Wan, Loreall C Pooler, Kristine R Monroe, Kevin M Waters, Loic Le Marchand, Laurence N Kolonel, Daniel O Stram, and Brian E Henderson

Subjects
Genetics, QH426-470
Abstract

GWAS of prostate cancer have been remarkably successful in revealing common genetic variants and novel biological pathways that are linked with its etiology. A more complete understanding of inherited susceptibility to prostate cancer in the general population will come from continuing such discovery efforts and from testing known risk alleles in diverse racial and ethnic groups. In this large study of prostate cancer in African American men (3,425 prostate cancer cases and 3,290 controls), we tested 49 risk variants located in 28 genomic regions identified through GWAS in men of European and Asian descent, and we replicated associations (at p≤0.05) with roughly half of these markers. Through fine-mapping, we identified nearby markers in many regions that better define associations in African Americans. At 8q24, we found 9 variants (p≤6×10(-4)) that best capture risk of prostate cancer in African Americans, many of which are more common in men of African than European descent. The markers found to be associated with risk at each locus improved risk modeling in African Americans (per allele OR = 1.17) over the alleles reported in the original GWAS (OR = 1.08). In summary, in this detailed analysis of the prostate cancer risk loci reported from GWAS, we have validated and improved upon markers of risk in some regions that better define the association with prostate cancer in African Americans. Our findings with variants at 8q24 also reinforce the importance of this region as a major risk locus for prostate cancer in men of African ancestry.

Published
2011
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