Browsing by author "Went, Molly"
Now showing items 1-17 of 17
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A genome-wide association study identifies susceptibility loci for primary central nervous system lymphoma at 6p25.3 and 3p22.1: a LOC Network study.
Labreche, K; Daniau, M; Sud, A; Law, PJ; Royer-Perron, L; et al. (OXFORD UNIV PRESS INC, 2019-08-05)BACKGROUND: Primary central nervous system lymphoma (PCNSL) is a rare form of extra-nodal non-Hodgkin lymphoma. PCNSL is a distinct subtype of non-Hodgkin lymphoma, with over 95% of tumors belonging to the diffuse large ... -
Assessing the effect of obesity-related traits on multiple myeloma using a Mendelian randomisation approach.
Went, M; Sud, A; Law, PJ; Johnson, DC; Weinhold, N; et al. (NATURE PUBLISHING GROUP, 2017-06-16) -
Deciphering genetic susceptibility to multiple myeloma
Houlston, R; Went, M (Institute of Cancer Research (University Of London), 2020-09-30)Multiple myeloma (MM) is a malignancy characterised by the clonal expansion of plasma cells primarily from the bone marrow. The two- to four-fold increased risk observed in relatives of MM patients provides support for ... -
Deciphering the genetics and mechanisms of predisposition to multiple myeloma.
Went, M; Duran-Lozano, L; Halldorsson, GH; Gunnell, A; Ugidos-Damboriena, N; et al. (NATURE PORTFOLIO, 2024-08-05)Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study ... -
Exploiting gene dependency to inform drug development for multiple myeloma.
Went, M; Hoang, PH; Law, PJ; Kaiser, MF; Houlston, RS (NATURE PORTFOLIO, 2022-07-26)Despite recent advances in therapy, multiple myeloma essentially remains an incurable malignancy. Targeting tumour-specific essential genes, which constitute a druggable dependency, potentially offers a strategy for ... -
Functional dissection of inherited non-coding variation influencing multiple myeloma risk.
Ajore, R; Niroula, A; Pertesi, M; Cafaro, C; Thodberg, M; et al. (NATURE PORTFOLIO, 2022-01-10)Thousands of non-coding variants have been associated with increased risk of human diseases, yet the causal variants and their mechanisms-of-action remain obscure. In an integrative study combining massively parallel ... -
Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology.
Went, M; Sud, A; Speedy, H; Sunter, NJ; Försti, A; et al. (NATURE PUBLISHING GROUP, 2018-12-21)The clustering of different types of B-cell malignancies in families raises the possibility of shared aetiology. To examine this, we performed cross-trait linkage disequilibrium (LD)-score regression of multiple myeloma ... -
Genetic Predisposition to Multiple Myeloma at 5q15 Is Mediated by an ELL2 Enhancer Polymorphism.
Li, N; Johnson, DC; Weinhold, N; Kimber, S; Dobbins, SE; et al. (CELL PRESS, 2017-09-12)Multiple myeloma (MM) is a malignancy of plasma cells. Genome-wide association studies have shown that variation at 5q15 influences MM risk. Here, we have sought to decipher the causal variant at 5q15 and the mechanism by ... -
Germline variants at SOHLH2 influence multiple myeloma risk.
Duran-Lozano, L; Thorleifsson, G; Lopez de Lapuente Portilla, A; Niroula, A; Went, M; et al. (SPRINGERNATURE, 2021-04-19)Multiple myeloma (MM) is caused by the uncontrolled, clonal expansion of plasma cells. While there is epidemiological evidence for inherited susceptibility, the molecular basis remains incompletely understood. We report a ... -
Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.
Went, M; Sud, A; Försti, A; Halvarsson, B-M; Weinhold, N; et al. (2018-09-13)Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous ... -
Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.
Went, M; Sud, A; Försti, A; Halvarsson, B-M; Weinhold, N; et al. (NATURE PUBLISHING GROUP, 2018-09-13)Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous ... -
Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9.
Schmidt, AF; Holmes, MV; Preiss, D; Swerdlow, DI; Denaxas, S; et al. (BMC, 2019-10-29)BACKGROUND: We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS: Published and individual participant ... -
Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers.
Went, M; Sud, A; Mills, C; Hyde, A; Culliford, R; et al. (NATURE PORTFOLIO, 2024-03-25)For many cancers there are only a few well-established risk factors. Here, we use summary data from genome-wide association studies (GWAS) in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to identify ... -
Regions of homozygosity as risk factors for multiple myeloma.
Went, M; Sud, A; Li, N; Johnson, DC; Mitchell, JS; et al. (WILEY, 2019-07-01)Genomic regions of homozygosity (ROH), detectable in outbred populations, have been implicated as determinants of inherited risk. To examine whether ROH is associated with risk of multiple myeloma (MM), we performed ... -
Search for multiple myeloma risk factors using Mendelian randomization.
Went, M; Cornish, AJ; Law, PJ; Kinnersley, B; van Duin, M; et al. (AMER SOC HEMATOLOGY, 2020-05-26)The etiology of multiple myeloma (MM) is poorly understood. Summary data from genome-wide association studies (GWASs) of multiple phenotypes can be exploited in a Mendelian randomization (MR) phenome-wide association study ... -
Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes.
Went, M; Kinnersley, B; Sud, A; Johnson, DC; Weinhold, N; et al. (BMC, 2019-08-20)BACKGROUND: While genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify candidate ... -
Using Mendelian Randomisation to search for modifiable risk factors influencing the development of clonal haematopoiesis.
Hislop, JM; Went, M; Mills, C; Sud, A; Law, PJ; et al. (SPRINGERNATURE, 2024-07-16)