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  • 1
    Publication Date: 2012-05-05
    Description: Naturally blond hair is rare in humans and found almost exclusively in Europe and Oceania. Here, we identify an arginine-to-cysteine change at a highly conserved residue in tyrosinase-related protein 1 (TYRP1) as a major determinant of blond hair in Solomon Islanders. This missense mutation is predicted to affect catalytic activity of TYRP1 and causes blond hair through a recessive mode of inheritance. The mutation is at a frequency of 26% in the Solomon Islands, is absent outside of Oceania, represents a strong common genetic effect on a complex human phenotype, and highlights the importance of examining genetic associations worldwide.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481182/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481182/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kenny, Eimear E -- Timpson, Nicholas J -- Sikora, Martin -- Yee, Muh-Ching -- Moreno-Estrada, Andres -- Eng, Celeste -- Huntsman, Scott -- Burchard, Esteban Gonzalez -- Stoneking, Mark -- Bustamante, Carlos D -- Myles, Sean -- G0600705/Medical Research Council/United Kingdom -- R01 ES015794/ES/NIEHS NIH HHS/ -- R01 HL078885/HL/NHLBI NIH HHS/ -- R01 HL088133/HL/NHLBI NIH HHS/ -- RD1634/Medical Research Council/United Kingdom -- U19 AI077439/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2012 May 4;336(6081):554. doi: 10.1126/science.1217849.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Stanford University, Stanford, CA 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22556244" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Substitution ; Gene Frequency ; Genes, Recessive ; Genome-Wide Association Study ; Genotype ; Hair Color/*genetics ; Humans ; Melanesia ; Membrane Glycoproteins/*genetics/metabolism ; *Mutation, Missense ; Oxidoreductases/*genetics/metabolism ; Polymorphism, Single Nucleotide
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2014-06-14
    Description: Mexico harbors great cultural and ethnic diversity, yet fine-scale patterns of human genome-wide variation from this region remain largely uncharacterized. We studied genomic variation within Mexico from over 1000 individuals representing 20 indigenous and 11 mestizo populations. We found striking genetic stratification among indigenous populations within Mexico at varying degrees of geographic isolation. Some groups were as differentiated as Europeans are from East Asians. Pre-Columbian genetic substructure is recapitulated in the indigenous ancestry of admixed mestizo individuals across the country. Furthermore, two independently phenotyped cohorts of Mexicans and Mexican Americans showed a significant association between subcontinental ancestry and lung function. Thus, accounting for fine-scale ancestry patterns is critical for medical and population genetic studies within Mexico, in Mexican-descent populations, and likely in many other populations worldwide.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156478/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156478/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Moreno-Estrada, Andres -- Gignoux, Christopher R -- Fernandez-Lopez, Juan Carlos -- Zakharia, Fouad -- Sikora, Martin -- Contreras, Alejandra V -- Acuna-Alonzo, Victor -- Sandoval, Karla -- Eng, Celeste -- Romero-Hidalgo, Sandra -- Ortiz-Tello, Patricia -- Robles, Victoria -- Kenny, Eimear E -- Nuno-Arana, Ismael -- Barquera-Lozano, Rodrigo -- Macin-Perez, Gaston -- Granados-Arriola, Julio -- Huntsman, Scott -- Galanter, Joshua M -- Via, Marc -- Ford, Jean G -- Chapela, Rocio -- Rodriguez-Cintron, William -- Rodriguez-Santana, Jose R -- Romieu, Isabelle -- Sienra-Monge, Juan Jose -- del Rio Navarro, Blanca -- London, Stephanie J -- Ruiz-Linares, Andres -- Garcia-Herrera, Rodrigo -- Estrada, Karol -- Hidalgo-Miranda, Alfredo -- Jimenez-Sanchez, Gerardo -- Carnevale, Alessandra -- Soberon, Xavier -- Canizales-Quinteros, Samuel -- Rangel-Villalobos, Hector -- Silva-Zolezzi, Irma -- Burchard, Esteban Gonzalez -- Bustamante, Carlos D -- BB/I021213/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- ES015794/ES/NIEHS NIH HHS/ -- GM007546/GM/NIGMS NIH HHS/ -- GM061390/GM/NIGMS NIH HHS/ -- HL004464/HL/NHLBI NIH HHS/ -- HL078885/HL/NHLBI NIH HHS/ -- HL088133/HL/NHLBI NIH HHS/ -- HL111636/HL/NHLBI NIH HHS/ -- K23 HL004464/HL/NHLBI NIH HHS/ -- K23 HL111636/HL/NHLBI NIH HHS/ -- M01 RR000083/RR/NCRR NIH HHS/ -- P60 MD006902/MD/NIMHD NIH HHS/ -- P60MD006902/MD/NIMHD NIH HHS/ -- R01 ES015794/ES/NIEHS NIH HHS/ -- R01 GM083606/GM/NIGMS NIH HHS/ -- R01 GM090087/GM/NIGMS NIH HHS/ -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 HL078885/HL/NHLBI NIH HHS/ -- R01 HL088133/HL/NHLBI NIH HHS/ -- R01GM090087/GM/NIGMS NIH HHS/ -- R01HG003229/HG/NHGRI NIH HHS/ -- R13 MD008154/MD/NIMHD NIH HHS/ -- RR000083/RR/NCRR NIH HHS/ -- T32 GM007175/GM/NIGMS NIH HHS/ -- T32 GM007546/GM/NIGMS NIH HHS/ -- T32 HG000044/HG/NHGRI NIH HHS/ -- T32GM007175/GM/NIGMS NIH HHS/ -- T32HG000044/HG/NHGRI NIH HHS/ -- U01 GM061390/GM/NIGMS NIH HHS/ -- ZIA ES049019-14/Intramural NIH HHS/ -- ZIA ES049019-15/Intramural NIH HHS/ -- ZIA ES49019/ES/NIEHS NIH HHS/ -- New York, N.Y. -- Science. 2014 Jun 13;344(6189):1280-5. doi: 10.1126/science.1251688. Epub 2014 Jun 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. cdbustam@stanford.edu morenoe@stanford.edu esteban.burchard@ucsf.edu. ; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA. cdbustam@stanford.edu morenoe@stanford.edu esteban.burchard@ucsf.edu. ; Instituto Nacional de Medicina Genomica (INMEGEN), Mexico City, Mexico. ; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. ; Escuela Nacional de Antropologia e Historia (ENAH), Mexico City, Mexico. Department of Genetics, Evolution and Environment, University College London, London, UK. ; Department of Medicine, University of California, San Francisco, CA, USA. ; Instituto de Investigacion en Genetica Molecular, Universidad de Guadalajara, Ocotlan, Mexico. ; Escuela Nacional de Antropologia e Historia (ENAH), Mexico City, Mexico. ; Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico. ; Department of Medicine, University of California, San Francisco, CA, USA. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA. ; The Brooklyn Hospital Center, Brooklyn, NY, USA. ; Instituto Nacional de Enfermedades Respiratorias (INER), Mexico City, Mexico. ; Veterans Caribbean Health Care System, San Juan, Puerto Rico. ; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. Instituto Nacional de Medicina Genomica (INMEGEN), Mexico City, Mexico. ; International Agency for Research on Cancer, Lyon, France. ; Hospital Infantil de Mexico Federico Gomez, Mexico City, Mexico. ; National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA. ; Department of Genetics, Evolution and Environment, University College London, London, UK. ; Instituto Nacional de Medicina Genomica (INMEGEN), Mexico City, Mexico. Facultad de Quimica, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico. ; Department of Medicine, University of California, San Francisco, CA, USA. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA. cdbustam@stanford.edu morenoe@stanford.edu esteban.burchard@ucsf.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24926019" target="_blank"〉PubMed〈/a〉
    Keywords: African Continental Ancestry Group/genetics ; European Continental Ancestry Group/genetics ; *Genetic Variation ; Genome, Human ; Humans ; Indians, North American/*genetics ; Mexican Americans/*genetics ; Mexico ; Population/*genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2016-04-02
    Description: Host responses against metazoan parasites or an array of environmental substances elicit type 2 immunity. Despite its protective function, type 2 immunity also drives allergic diseases. The mechanisms that regulate the magnitude of the type 2 response remain largely unknown. Here, we show that genetic ablation of a receptor tyrosine kinase encoded byTyro3in mice or the functional neutralization of its ortholog in human dendritic cells resulted in enhanced type 2 immunity. Furthermore, the TYRO3 agonist PROS1 was induced in T cells by the quintessential type 2 cytokine, interleukin-4. T cell-specificPros1knockouts phenocopied the loss ofTyro3 Thus, a PROS1-mediated feedback from adaptive immunity engages a rheostat, TYRO3, on innate immune cells to limit the intensity of type 2 responses.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chan, Pamela Y -- Carrera Silva, Eugenio A -- De Kouchkovsky, Dimitri -- Joannas, Leonel D -- Hao, Liming -- Hu, Donglei -- Huntsman, Scott -- Eng, Celeste -- Licona-Limon, Paula -- Weinstein, Jason S -- Herbert, De'Broski R -- Craft, Joseph E -- Flavell, Richard A -- Repetto, Silvia -- Correale, Jorge -- Burchard, Esteban G -- Torgerson, Dara G -- Ghosh, Sourav -- Rothlin, Carla V -- HL004464/HL/NHLBI NIH HHS/ -- HL078885/HL/NHLBI NIH HHS/ -- HL088133/HL/NHLBI NIH HHS/ -- HL104608/HL/NHLBI NIH HHS/ -- HL117004/HL/NHLBI NIH HHS/ -- MD006902/MD/NIMHD NIH HHS/ -- R01 AI089824/AI/NIAID NIH HHS/ -- T32 AI007019/AI/NIAID NIH HHS/ -- T32 GM007205/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Apr 1;352(6281):99-103. doi: 10.1126/science.aaf1358.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Immunobiology, School of Medicine, Yale University, New Haven, CT 06520, USA. ; Department of Immunobiology, School of Medicine, Yale University, New Haven, CT 06520, USA. Laboratorio de Trombosis Experimental, Instituto de Medicina Experimental, Academia Nacional de Medicina-CONICET, Buenos Aires, 1425, Argentina. ; Department of Pathology, School of Medicine, Yale University, New Haven, CT 06520, USA. ; Department of Medicine, University of California San Francisco, CA 94158, USA. ; Department of Experimental Medicine, University of California San Francisco, CA 94158, USA. ; Department of Immunobiology, School of Medicine, Yale University, New Haven, CT 06520, USA. Department of Internal Medicine (Rheumatology), School of Medicine, Yale University, New Haven, CT 06520, USA. ; Department of Immunobiology, School of Medicine, Yale University, New Haven, CT 06520, USA. Howard Hughes Medical Institute, School of Medicine, Yale University, New Haven, CT 06520, USA. ; Instituto de Investigaciones en Microbiologia y Parasitologia Medica, University of Buenos Aires-CONICET, Buenos Aires, 1121, Argentina. Hospital de Clinicas Jose de San Martin, University of Buenos Aires, 1120, Argentina. ; Center for Research on Neuroimmunological Diseases, Raul Carrea Institute for Neurological Research (FLENI), Buenos Aires 1428, Argentina. ; Department of Medicine, University of California San Francisco, CA 94158, USA. Department of Bioengineering, School of Pharmacy, University of California San Francisco, CA 94158, USA. ; Department of Neurology, School of Medicine, Yale University, New Haven, CT 06520, USA. ; Department of Immunobiology, School of Medicine, Yale University, New Haven, CT 06520, USA. carla.rothlin@yale.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27034374" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptive Immunity/*genetics ; Animals ; Asthma/genetics/*immunology ; Blood Proteins/antagonists & inhibitors/genetics/metabolism ; Dendritic Cells/immunology ; Disease Models, Animal ; Gene Knockout Techniques ; Host-Parasite Interactions/genetics/*immunology ; Humans ; Immunity, Innate/*genetics ; Interleukin-4/immunology/pharmacology ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; Nippostrongylus/immunology ; Pyroglyphidae/immunology ; Receptor Protein-Tyrosine Kinases/genetics/*physiology ; Strongylida Infections/immunology ; T-Lymphocytes/immunology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Marine biology 94 (1987), S. 203-210 
    ISSN: 1432-1793
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The toxicity of copper and zinc to the estuarine copepod Acartia tonsa and to the two diatom food species Thalassiosira pseudonana and T. weissflogii was measured in nitrilotriacetate-trace metal ion buffer systems at 25‰ S. Overall, A. tonsa appeared to be more sensitive to cupric and zinc ion activity than either of the diatoms; however, its sensitivity varied among the different life stages examined. Adult survival was not affected within the zinc ion activity range 10-11 to 10-8 M and cupric ion activity range 10-13 to 10-11 M over a 96-h period, but a cupric ion activity of 10-10 M caused total mortality of adults within 72 h. Egg-laying rate was most sensitive to zinc, and was reduced at zinc ion activities ≧10-10 M. Naupliar survival after 96 h was reduced by zinc ion activities ≧10-8 M and by cupric ion activities ≧10-11 M, and was reduced to zero at a zinc ion activity of 10-7 M and at a cupric ion activity of 10-10.5 M. In an interspecies comparison of 96-h adult survival, Centropages typicus was more sensitive to copper and zinc than A. tonsa and the survival of Labidocera aestiva was dependent on the ratio of cupric to zinc ion activity. A comparison of our results with estimates of zinc and cupric ion activities in estuaries suggests that ionic activities of these metals are high enough in some polluted estuaries to affect the survival and reproduction of copepods.
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  • 5
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 301 (1983), S. 234-236 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Reduction of manganese oxide was investigated by measuring the dissolution of 54Mn oxides prepared from 54MnCl2 by permanganate oxidation13: oxides prepared by this procedure13 have an approximate composition of MnO^g. Such mixed oxidation state oxides (referred to here as MnOx) are characteristic ...
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  • 6
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillian Magazines Ltd.
    Nature 418 (2002), S. 317-320 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The algal osmolyte dimethylsulphoniopropionate (DMSP) and its enzymatic cleavage product dimethylsulphide (DMS) contribute significantly to the global sulphur cycle, yet their physiological functions are uncertain. Here we report results that, together with those in the literature, show that ...
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  • 7
    Publication Date: 2015-06-14
    Description: Motivation: Approaches to identifying new risk loci, training risk prediction models, imputing untyped variants and fine-mapping causal variants from summary statistics of genome-wide association studies are playing an increasingly important role in the human genetics community. Current summary statistics-based methods rely on global ‘best guess’ reference panels to model the genetic correlation structure of the dataset being studied. This approach, especially in admixed populations, has the potential to produce misleading results, ignores variation in local structure and is not feasible when appropriate reference panels are missing or small. Here, we develop a method, Adapt-Mix, that combines information across all available reference panels to produce estimates of local genetic correlation structure for summary statistics-based methods in arbitrary populations. Results: We applied Adapt-Mix to estimate the genetic correlation structure of both admixed and non-admixed individuals using simulated and real data. We evaluated our method by measuring the performance of two summary statistics-based methods: imputation and joint-testing. When using our method as opposed to the current standard of ‘best guess’ reference panels, we observed a 28% decrease in mean-squared error for imputation and a 73.7% decrease in mean-squared error for joint-testing. Availability and implementation: Our method is publicly available in a software package called ADAPT-Mix available at https://github.com/dpark27/adapt_mix . Contact: noah.zaitlen@ucsf.edu
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 8
    Publication Date: 2015-12-01
    Description: Genome-wide association studies have identified over 70 single-nucleotide polymorphisms (SNPs) associated with breast cancer. A subset of these SNPs are associated with quantitative expression of nearby genes, but the functional effects of the majority remain unknown. We hypothesized that some risk SNPs may regulate alternative splicing. Using RNA-sequencing data from breast tumors and germline genotypes from The Cancer Genome Atlas, we tested the association between each risk SNP genotype and exon-, exon–exon junction- or transcript-specific expression of nearby genes. Six SNPs were associated with differential transcript expression of seven nearby genes at FDR 〈 0.05 ( BABAM1 , DCLRE1B/PHTF1 , PEX14 , RAD51L1, SRGAP2D and STXBP4 ). We next developed a Bayesian approach to evaluate, for each SNP, the overlap between the signal of association with breast cancer and the signal of association with alternative splicing. At one locus ( SRGAP2D ), this method eliminated the possibility that the breast cancer risk and the alternate splicing event were due to the same causal SNP. Lastly, at two loci, we identified the likely causal SNP for the alternative splicing event, and at one, functionally validated the effect of that SNP on alternative splicing using a minigene reporter assay. Our results suggest that the regulation of differential transcript isoform expression is the functional mechanism of some breast cancer risk SNPs and that we can use these associations to identify causal SNPs, target genes and the specific transcripts that may mediate breast cancer risk.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
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  • 9
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    Siddiq, A., Couch, F. J., Chen, G. K., Lindstrom, S., Eccles, D., Millikan, R. C., Michailidou, K., Stram, D. O., Beckmann, L., Rhie, S. K., Ambrosone, C. B., Aittomaki, K., Amiano, P., Apicella, C., Australian Breast Cancer Tissue Bank Investigators, Baglietto, L., Bandera, E. V., Beckmann, M. W., Berg, C. D., Bernstein, L., Blomqvist, C., Brauch, H., Brinton, L., Bui, Q. M., Buring, J. E., Buys, S. S., Campa, D., Carpenter, J. E., Chasman, D. I., Chang-Claude, J., Chen, C., Clavel-Chapelon, F., Cox, A., Cross, S. S., Czene, K., Deming, S. L., Diasio, R. B., Diver, W. R., Dunning, A. M., Durcan, L., Ekici, A. B., Fasching, P. A., Familial Breast Cancer Study, Feigelson, H. S., Fejerman, L., Figueroa, J. D., Fletcher, O., Flesch-Janys, D., Gaudet, M. M., The GENICA Consortium, Gerty, S. M., Rodriguez-Gil, J. L., Giles, G. G., van Gils, C. H., Godwin, A. K., Graham, N., Greco, D., Hall, P., Hankinson, S. E., Hartmann, A., Hein, R., Heinz, J., Hoover, R. N., Hopper, J. L., Hu, J. J., Huntsman, S., Ingles, S. A., Irwanto, A., Isaacs, C., Jacobs, K. B., John, E. M., Justenhoven, C., Kaaks, R., Kolonel, L. N., Coetzee, G. A., Lathrop, M., Le Marchand, L., Lee, A. M., Lee, I.-M., Lesnick, T., Lichtner, P., Liu, J., Lund, E., Makalic, E., Martin, N. G., McLean, C. A., Meijers-Heijboer, H., Meindl, A., Miron, P., Monroe, K. R., Montgomery, G. W., Muller-Myhsok, B., Nickels, S., Nyante, S. J., Olswold, C., Overvad, K., Palli, D., Park, D. J., Palmer, J. R., Pathak, H., Peto, J., Pharoah, P., Rahman, N., Rivadeneira, F., Schmidt, D. F., Schmutzler, R. K., Slager, S., Southey, M. C., Stevens, K. N., Sinn, H.-P., Press, M. F., Ross, E., Riboli, E., Ridker, P. M., Schumacher, F. R., Severi, G., dos Santos Silva, I., Stone, J., Sund, M., Tapper, W. J., Thun, M. J., Travis, R. C., Turnbull, C., Uitterlinden, A. G., Waisfisz, Q., Wang, X., Wang, Z., Weaver, J., Schulz-Wendtland, R., Wilkens, L. R., Van Den Berg, D., Zheng, W., Ziegler, R. G., Ziv, E., Nevanlinna, H., Easton, D. F., Hunter, D. J., Henderson, B. E., Chanock, S. J., Garcia-Closas, M., Kraft, P., Haiman, C. A., Vachon, C. M.
    Oxford University Press
    Publication Date: 2012-12-01
    Description: Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of ER-negative disease to date, comprising 4754 ER-negative cases and 31 663 controls from three GWAS: NCI Breast and Prostate Cancer Cohort Consortium (BPC3) (2188 ER-negative cases; 25 519 controls of European ancestry), Triple Negative Breast Cancer Consortium (TNBCC) (1562 triple negative cases; 3399 controls of European ancestry) and African American Breast Cancer Consortium (AABC) (1004 ER-negative cases; 2745 controls). We performed in silico replication of 86 SNPs at P ≤ 1 x 10 -5 in an additional 11 209 breast cancer cases (946 with ER-negative disease) and 16 057 controls of Japanese, Latino and European ancestry. We identified two novel loci for breast cancer at 20q11 and 6q14. SNP rs2284378 at 20q11 was associated with ER-negative breast cancer (combined two-stage OR = 1.16; P = 1.1 x 10 –8 ) but showed a weaker association with overall breast cancer (OR = 1.08, P = 1.3 x 10 –6 ) based on 17 869 cases and 43 745 controls and no association with ER-positive disease (OR = 1.01, P = 0.67) based on 9965 cases and 22 902 controls. Similarly, rs17530068 at 6q14 was associated with breast cancer (OR = 1.12; P = 1.1 x 10 –9 ), and with both ER-positive (OR = 1.09; P = 1.5 x 10 –5 ) and ER-negative (OR = 1.16, P = 2.5 x 10 –7 ) disease. We also confirmed three known loci associated with ER-negative (19p13) and both ER-negative and ER-positive breast cancer (6q25 and 12p11). Our results highlight the value of large-scale collaborative studies to identify novel breast cancer risk loci.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
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  • 10
    Publication Date: 1987-03-01
    Print ISSN: 0025-3162
    Electronic ISSN: 1432-1793
    Topics: Biology
    Published by Springer
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