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Your search keyword '"Beckmann, MW"' showing total 2 results
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2 results on '"Beckmann, MW"'

1. Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses.

Author

Painter JN, O'Mara TA, Morris AP, Cheng THT, Gorman M, Martin L, Hodson S, Jones A, Martin NG, Gordon S, Henders AK, Attia J, McEvoy M, Holliday EG, Scott RJ, Webb PM, Fasching PA, Beckmann MW, Ekici AB, Hein A, Rübner M, Hall P, Czene K, Dörk T, Dürst M, Hillemanns P, Runnebaum I, Lambrechts D, Amant F, Annibali D, Depreeuw J, Vanderstichele A, Goode EL, Cunningham JM, Dowdy SC, Winham SJ, Trovik J, Hoivik E, Werner HMJ, Krakstad C, Ashton K, Otton G, Proietto T, Tham E, Mints M, Ahmed S, Healey CS, Shah M, Pharoah PDP, Dunning AM, Dennis J, Bolla MK, Michailidou K, Wang Q, Tyrer JP, Hopper JL, Peto J, Swerdlow AJ, Burwinkel B, Brenner H, Meindl A, Brauch H, Lindblom A, Chang-Claude J, Couch FJ, Giles GG, Kristensen VN, Cox A, Zondervan KT, Nyholt DR, MacGregor S, Montgomery GW, Tomlinson I, Easton DF, Thompson DJ, and Spurdle AB

Subjects
Australia epidemiology, Endometrial Neoplasms epidemiology, Endometriosis epidemiology, Endometrium pathology, Female, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide genetics, STAT3 Transcription Factor metabolism, Endometrial Neoplasms genetics, Endometriosis genetics, Genetic Predisposition to Disease genetics, Receptor-Like Protein Tyrosine Phosphatases, Class 2 genetics
Abstract

Epidemiological, biological, and molecular data suggest links between endometriosis and endometrial cancer, with recent epidemiological studies providing evidence for an association between a previous diagnosis of endometriosis and risk of endometrial cancer. We used genetic data as an alternative approach to investigate shared biological etiology of these two diseases. Genetic correlation analysis of summary level statistics from genomewide association studies (GWAS) using LD Score regression revealed moderate but significant genetic correlation (r g  = 0.23, P = 9.3 × 10 -3 ), and SNP effect concordance analysis provided evidence for significant SNP pleiotropy (P = 6.0 × 10 -3 ) and concordance in effect direction (P = 2.0 × 10 -3 ) between the two diseases. Cross-disease GWAS meta-analysis highlighted 13 distinct loci associated at P ≤ 10 -5 with both endometriosis and endometrial cancer, with one locus (SNP rs2475335) located within PTPRD associated at a genomewide significant level (P = 4.9 × 10 -8 , OR = 1.11, 95% CI = 1.07-1.15). PTPRD acts in the STAT3 pathway, which has been implicated in both endometriosis and endometrial cancer. This study demonstrates the value of cross-disease genetic analysis to support epidemiological observations and to identify biological pathways of relevance to multiple diseases., (© 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Published
2018
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2. A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2.

Author

Song H, Ramus SJ, Tyrer J, Bolton KL, Gentry-Maharaj A, Wozniak E, Anton-Culver H, Chang-Claude J, Cramer DW, DiCioccio R, Dörk T, Goode EL, Goodman MT, Schildkraut JM, Sellers T, Baglietto L, Beckmann MW, Beesley J, Blaakaer J, Carney ME, Chanock S, Chen Z, Cunningham JM, Dicks E, Doherty JA, Dürst M, Ekici AB, Fenstermacher D, Fridley BL, Giles G, Gore ME, De Vivo I, Hillemanns P, Hogdall C, Hogdall E, Iversen ES, Jacobs IJ, Jakubowska A, Li D, Lissowska J, Lubiński J, Lurie G, McGuire V, McLaughlin J, Medrek K, Moorman PG, Moysich K, Narod S, Phelan C, Pye C, Risch H, Runnebaum IB, Severi G, Southey M, Stram DO, Thiel FC, Terry KL, Tsai YY, Tworoger SS, Van Den Berg DJ, Vierkant RA, Wang-Gohrke S, Webb PM, Wilkens LR, Wu AH, Yang H, Brewster W, Ziogas A, Houlston R, Tomlinson I, Whittemore AS, Rossing MA, Ponder BA, Pearce CL, Ness RB, Menon U, Kjaer SK, Gronwald J, Garcia-Closas M, Fasching PA, Easton DF, Chenevix-Trench G, Berchuck A, Pharoah PD, and Gayther SA

Subjects
Alleles, Australia, Base Sequence, Case-Control Studies, Chromosome Mapping, Confidence Intervals, Europe, Female, Gene Frequency, Genotype, Haplotypes, Heterozygote, Homozygote, Humans, Linkage Disequilibrium, Molecular Sequence Data, Odds Ratio, Ovarian Neoplasms pathology, Polymorphism, Single Nucleotide, Risk Factors, United States, White People genetics, White People statistics & numerical data, Chromosomes, Human, Pair 9, Genetic Predisposition to Disease, Genome-Wide Association Study, Ovarian Neoplasms genetics
Abstract

Epithelial ovarian cancer has a major heritable component, but the known susceptibility genes explain less than half the excess familial risk. We performed a genome-wide association study (GWAS) to identify common ovarian cancer susceptibility alleles. We evaluated 507,094 SNPs genotyped in 1,817 cases and 2,353 controls from the UK and approximately 2 million imputed SNPs. We genotyped the 22,790 top ranked SNPs in 4,274 cases and 4,809 controls of European ancestry from Europe, USA and Australia. We identified 12 SNPs at 9p22 associated with disease risk (P < 10(-8)). The most significant SNP (rs3814113; P = 2.5 x 10(-17)) was genotyped in a further 2,670 ovarian cancer cases and 4,668 controls, confirming its association (combined data odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.79-0.86, P(trend) = 5.1 x 10(-19)). The association differs by histological subtype, being strongest for serous ovarian cancers (OR 0.77, 95% CI 0.73-0.81, P(trend) = 4.1 x 10(-21)).

Published
2009
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