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1. Novel risk loci for COVID-19 hospitalization among admixed American populations.

Author

Diz-de Almeida S, Cruz R, Luchessi AD, Lorenzo-Salazar JM, de Heredia ML, Quintela I, González-Montelongo R, Nogueira Silbiger V, Porras MS, Tenorio Castaño JA, Nevado J, Aguado JM, Aguilar C, Aguilera-Albesa S, Almadana V, Almoguera B, Alvarez N, Andreu-Bernabeu Á, Arana-Arri E, Arango C, Arranz MJ, Artiga MJ, Baptista-Rosas RC, Barreda-Sánchez M, Belhassen-Garcia M, Bezerra JF, Bezerra MAC, Boix-Palop L, Brion M, Brugada R, Bustos M, Calderón EJ, Carbonell C, Castano L, Castelao JE, Conde-Vicente R, Cordero-Lorenzana ML, Cortes-Sanchez JL, Corton M, Darnaude MT, De Martino-Rodríguez A, Del Campo-Pérez V, de Bustamante AD, Domínguez-Garrido E, Eirós R, Fariñas MC, Fernandez-Nestosa MJ, Fernández-Robelo U, Fernández-Rodríguez A, Fernández-Villa T, Gago-Dominguez M, Gil-Fournier B, Gómez-Arrue J, Álvarez BG, Bernaldo de Quirós FG, González-Neira A, González-Peñas J, Gutiérrez-Bautista JF, Herrero MJ, Herrero-Gonzalez A, Jimenez-Sousa MA, Lattig MC, Borja AL, Lopez-Rodriguez R, Mancebo E, Martín-López C, Martín V, Martinez-Nieto O, Martinez-Lopez I, Martinez-Resendez MF, Martinez-Perez A, Mazzeu JF, Macías EM, Minguez P, Cuerda VM, Oliveira SF, Ortega-Paino E, Parellada M, Paz-Artal E, Santos NPC, Pérez-Matute P, Perez P, Pérez-Tomás ME, Perucho T, Pinsach-Abuin M, Pita G, Pompa-Mera EN, Porras-Hurtado GL, Pujol A, León SR, Resino S, Fernandes MR, Rodríguez-Ruiz E, Rodriguez-Artalejo F, Rodriguez-Garcia JA, Ruiz-Cabello F, Ruiz-Hornillos J, Ryan P, Soria JM, Souto JC, Tamayo E, Tamayo-Velasco A, Taracido-Fernandez JC, Teper A, Torres-Tobar L, Urioste M, Valencia-Ramos J, Yáñez Z, Zarate R, de Rojas I, Ruiz A, Sánchez P, Real LM, Guillen-Navarro E, Ayuso C, Parra E, Riancho JA, Rojas-Martinez A, Flores C, Lapunzina P, and Carracedo Á

Subjects
Humans, SARS-CoV-2 genetics, Female, Male, Genetic Loci, Risk Factors, Polymorphism, Single Nucleotide, Middle Aged, Aged, Latin America epidemiology, COVID-19 genetics, COVID-19 epidemiology, Genome-Wide Association Study, Hospitalization statistics & numerical data, Genetic Predisposition to Disease
Abstract

The genetic basis of severe COVID-19 has been thoroughly studied, and many genetic risk factors shared between populations have been identified. However, reduced sample sizes from non-European groups have limited the discovery of population-specific common risk loci. In this second study nested in the SCOURGE consortium, we conducted a genome-wide association study (GWAS) for COVID-19 hospitalization in admixed Americans, comprising a total of 4702 hospitalized cases recruited by SCOURGE and seven other participating studies in the COVID-19 Host Genetic Initiative. We identified four genome-wide significant associations, two of which constitute novel loci and were first discovered in Latin American populations ( BAZ2B and DDIAS ). A trans-ethnic meta-analysis revealed another novel cross-population risk locus in CREBBP . Finally, we assessed the performance of a cross-ancestry polygenic risk score in the SCOURGE admixed American cohort. This study constitutes the largest GWAS for COVID-19 hospitalization in admixed Latin Americans conducted to date. This allowed to reveal novel risk loci and emphasize the need of considering the diversity of populations in genomic research., Competing Interests: SD, RC, AL, JL, Md, IQ, RG, VN, MP, JT, JN, JA, CA, SA, VA, BA, NA, ÁA, EA, CA, MA, MA, RB, MB, MB, JB, MB, LB, MB, RB, MB, EC, CC, LC, JC, RC, MC, JC, MC, MD, AD, Vd, Ad, ED, RE, MF, MF, UF, AF, TF, MG, BG, JG, BÁ, FB, AG, JG, JG, MH, AH, MJ, ML, AB, RL, EM, CM, VM, OM, IM, MM, AM, JM, EM, PM, VC, SO, EO, MP, EP, NS, PP, PP, MP, TP, MP, GP, EP, GP, AP, SL, SR, MF, ER, FR, JR, FR, JR, PR, JS, JS, ET, AT, JT, AT, LT, MU, JV, ZY, RZ, Id, AR, PS, LR, EG, CA, EP, JR, AR, CF, PL, ÁC No competing interests declared, (© 2024, Diz-de Almeida, Cruz et al.)

Published
2024
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2. Novel genes and sex differences in COVID-19 severity.

Author

Cruz R, Diz-de Almeida S, López de Heredia M, Quintela I, Ceballos FC, Pita G, Lorenzo-Salazar JM, González-Montelongo R, Gago-Domínguez M, Sevilla Porras M, Tenorio Castaño JA, Nevado J, Aguado JM, Aguilar C, Aguilera-Albesa S, Almadana V, Almoguera B, Alvarez N, Andreu-Bernabeu Á, Arana-Arri E, Arango C, Arranz MJ, Artiga MJ, Baptista-Rosas RC, Barreda-Sánchez M, Belhassen-Garcia M, Bezerra JF, Bezerra MAC, Boix-Palop L, Brion M, Brugada R, Bustos M, Calderón EJ, Carbonell C, Castano L, Castelao JE, Conde-Vicente R, Cordero-Lorenzana ML, Cortes-Sanchez JL, Corton M, Darnaude MT, De Martino-Rodríguez A, Del Campo-Pérez V, Diaz de Bustamante A, Domínguez-Garrido E, Luchessi AD, Eiros R, Estigarribia Sanabria GM, Carmen Fariñas M, Fernández-Robelo U, Fernández-Rodríguez A, Fernández-Villa T, Gil-Fournier B, Gómez-Arrue J, González Álvarez B, Gonzalez Bernaldo de Quirós F, González-Peñas J, Gutiérrez-Bautista JF, Herrero MJ, Herrero-Gonzalez A, Jimenez-Sousa MA, Lattig MC, Liger Borja A, Lopez-Rodriguez R, Mancebo E, Martín-López C, Martín V, Martinez-Nieto O, Martinez-Lopez I, Martinez-Resendez MF, Martinez-Perez A, Mazzeu JF, Merayo Macías E, Minguez P, Moreno Cuerda V, Silbiger VN, Oliveira SF, Ortega-Paino E, Parellada M, Paz-Artal E, Santos NPC, Pérez-Matute P, Perez P, Pérez-Tomás ME, Perucho T, Pinsach-Abuin ML, Pompa-Mera EN, Porras-Hurtado GL, Pujol A, Ramiro León S, Resino S, Fernandes MR, Rodríguez-Ruiz E, Rodriguez-Artalejo F, Rodriguez-Garcia JA, Ruiz Cabello F, Ruiz-Hornillos J, Ryan P, Soria JM, Souto JC, Tamayo E, Tamayo-Velasco A, Taracido-Fernandez JC, Teper A, Torres-Tobar L, Urioste M, Valencia-Ramos J, Yáñez Z, Zarate R, Nakanishi T, Pigazzini S, Degenhardt F, Butler-Laporte G, Maya-Miles D, Bujanda L, Bouysran Y, Palom A, Ellinghaus D, Martínez-Bueno M, Rolker S, Amitrano S, Roade L, Fava F, Spinner CD, Prati D, Bernardo D, Garcia F, Darcis G, Fernández-Cadenas I, Holter JC, Banales JM, Frithiof R, Duga S, Asselta R, Pereira AC, Romero-Gómez M, Nafría-Jiménez B, Hov JR, Migeotte I, Renieri A, Planas AM, Ludwig KU, Buti M, Rahmouni S, Alarcón-Riquelme ME, Schulte EC, Franke A, Karlsen TH, Valenti L, Zeberg H, Richards B, Ganna A, Boada M, de Rojas I, Ruiz A, Sánchez-Juan P, Real LM, Guillen-Navarro E, Ayuso C, González-Neira A, Riancho JA, Rojas-Martinez A, Flores C, Lapunzina P, and Carracedo A

Subjects
Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Sex Characteristics, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, COVID-19 genetics
Abstract

Here, we describe the results of a genome-wide study conducted in 11 939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P < 5 × 10-8) was crossed for variants in 3p21.31 and 21q22.11 loci only among males (P = 1.3 × 10-22 and P = 8.1 × 10-12, respectively), and for variants in 9q21.32 near TLE1 only among females (P = 4.4 × 10-8). In a second phase, results were combined with an independent Spanish cohort (1598 COVID-19 cases and 1068 population controls), revealing in the overall analysis two novel risk loci in 9p13.3 and 19q13.12, with fine-mapping prioritized variants functionally associated with AQP3 (P = 2.7 × 10-8) and ARHGAP33 (P = 1.3 × 10-8), respectively. The meta-analysis of both phases with four European studies stratified by sex from the Host Genetics Initiative (HGI) confirmed the association of the 3p21.31 and 21q22.11 loci predominantly in males and replicated a recently reported variant in 11p13 (ELF5, P = 4.1 × 10-8). Six of the COVID-19 HGI discovered loci were replicated and an HGI-based genetic risk score predicted the severity strata in SCOURGE. We also found more SNP-heritability and larger heritability differences by age (<60 or ≥60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided., (© The Author(s) 2022. Published by Oxford University Press.)

Published
2022
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3. Genome wide association study identifies a novel putative mammographic density locus at 1q12-q21.

Author

Fernandez-Navarro P, González-Neira A, Pita G, Díaz-Uriarte R, Tais Moreno L, Ederra M, Pedraz-Pingarrón C, Sánchez-Contador C, Vázquez-Carrete JA, Moreo P, Vidal C, Salas-Trejo D, Stone J, Southey MC, Hopper JL, Pérez-Gómez B, Benitez J, and Pollan M

Subjects
Adult, Aged, Australia, Breast Density, Breast Neoplasms ethnology, Cross-Sectional Studies, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Linkage Disequilibrium, Mammography, Middle Aged, Polymorphism, Single Nucleotide, Spain, Twin Studies as Topic, Breast Neoplasms genetics, Chromosomes, Human, Pair 1 genetics, Endopeptidases genetics, Genome-Wide Association Study methods, Mammary Glands, Human abnormalities, Proteins genetics
Abstract

Mammographic density (MD) is an intermediate phenotype for breast cancer. Previous studies have identified genetic variants associated with MD; however, much of the genetic contribution to MD is unexplained. We conducted a two-stage genome-wide association analysis among the participants in the "Determinants of Density in Mammographies in Spain" study, together with a replication analysis in women from the Australian MD Twins and Sisters Study. Our discovery set covered a total of 3,351 Caucasian women aged 45 to 68 years, recruited from Spanish breast cancer screening centres. MD was blindly assessed by a single reader using Boyd's scale. A two-stage approach was employed, including a feature selection phase exploring 575,374 SNPs in 239 pairs of women with extreme phenotypes and a verification stage for the 183 selected SNPs in the remaining sample (2,873 women). Replication was conducted in 1,786 women aged 40 to 70 years old recruited via the Australian Twin Registry, where MD were measured using Cumulus-3.0, assessing 14 SNPs with a p value <0.10 in stage 2. Finally, two genetic variants in high linkage disequilibrium with our best hit were studied using the whole Spanish sample. Evidence of association with MD was found for variant rs11205277 (OR = 0.74; 95% CI = 0.67-0.81; p = 1.33 × 10(-10) ). In replication analysis, only a marginal association between this SNP and absolute dense area was found. There were also evidence of association between MD and SNPs in high linkage disequilibrium with rs11205277, rs11205303 in gene MTMR11 (OR = 0.73; 95% CI = 0.66-0.80; p = 2.64 × 10(-11) ) and rs67807996 in gene OTUD7B (OR = 0.72; 95% CI = 0.66-0.80; p = 2.03 × 10(-11)). Our findings provide additional evidence on common genetic variations that may contribute to MD., (© 2014 UICC.)

Published
2015
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4. Genome-wide association study identifies ephrin type A receptors implicated in paclitaxel induced peripheral sensory neuropathy.

Author

Leandro-García LJ, Inglada-Pérez L, Pita G, Hjerpe E, Leskelä S, Jara C, Mielgo X, González-Neira A, Robledo M, Avall-Lundqvist E, Gréen H, and Rodríguez-Antona C

Subjects
Adult, Aged, Aged, 80 and over, Antineoplastic Agents therapeutic use, Female, Genetic Predisposition to Disease, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Neoplasms drug therapy, Paclitaxel therapeutic use, Polymorphism, Single Nucleotide, Antineoplastic Agents adverse effects, Genome-Wide Association Study, Paclitaxel adverse effects, Peripheral Nervous System Diseases chemically induced, Peripheral Nervous System Diseases genetics, Receptors, Eph Family genetics
Abstract

Background: Peripheral neuropathy is the dose limiting toxicity of paclitaxel, a chemotherapeutic drug widely used to treat solid tumours. This toxicity exhibits great inter-individual variability of unknown origin. The present study aimed to identify genetic variants associated with paclitaxel induced neuropathy via a whole genome approach., Methods: A genome-wide association study (GWAS) was performed in 144 white European patients uniformly treated with paclitaxel/carboplatin and for whom detailed data on neuropathy was available. Per allele single nucleotide polymorphism (SNP) associations were assessed by Cox regression, modelling the cumulative dose of paclitaxel up to the development of grade 2 sensory neuropathy., Results: The strongest evidence of association was observed for the ephrin type A receptor 4 (EPHA4) locus (rs17348202, p=1.0×10(-6)), and EPHA6 and EPHA5 were among the top 25 and 50 hits (rs301927, p=3.4×10(-5) and rs1159057, p=6.8×10(-5)), respectively. A meta-analysis of EPHA5-rs7349683, the top marker for paclitaxel induced neuropathy in a previous GWAS (r(2)=0.79 with rs1159057), gave a hazard ratio (HR) estimate of 1.68 (p=1.4×10(-9)). Meta-analysis of the second hit of this GWAS, XKR4-rs4737264, gave a HR of 1.71 (p=3.1×10(-8)). Imputed SNPs at LIMK2 locus were also strongly associated with this toxicity (HR=2.78, p=2.0×10(-7))., Conclusions: This study provides independent support of EPHA5-rs7349683 and XKR4-rs4737264 as the first markers of risk of paclitaxel induced neuropathy. In addition, it suggests that other EPHA genes also involved in axonal guidance and repair following neural injury, as well as LIMK2 locus, may play an important role in the development of this toxicity. The identified SNPs could form the basis for individualised paclitaxel chemotherapy.

Published
2013
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5. Identification of a BRCA2-specific modifier locus at 6p24 related to breast cancer risk.

Author

Gaudet MM, Kuchenbaecker KB, Vijai J, Klein RJ, Kirchhoff T, McGuffog L, Barrowdale D, Dunning AM, Lee A, Dennis J, Healey S, Dicks E, Soucy P, Sinilnikova OM, Pankratz VS, Wang X, Eldridge RC, Tessier DC, Vincent D, Bacot F, Hogervorst FB, Peock S, Stoppa-Lyonnet D, Peterlongo P, Schmutzler RK, Nathanson KL, Piedmonte M, Singer CF, Thomassen M, Hansen Tv, Neuhausen SL, Blanco I, Greene MH, Garber J, Weitzel JN, Andrulis IL, Goldgar DE, D'Andrea E, Caldes T, Nevanlinna H, Osorio A, van Rensburg EJ, Arason A, Rennert G, van den Ouweland AM, van der Hout AH, Kets CM, Aalfs CM, Wijnen JT, Ausems MG, Frost D, Ellis S, Fineberg E, Platte R, Evans DG, Jacobs C, Adlard J, Tischkowitz M, Porteous ME, Damiola F, Golmard L, Barjhoux L, Longy M, Belotti M, Ferrer SF, Mazoyer S, Spurdle AB, Manoukian S, Barile M, Genuardi M, Arnold N, Meindl A, Sutter C, Wappenschmidt B, Domchek SM, Pfeiler G, Friedman E, Jensen UB, Robson M, Shah S, Lazaro C, Mai PL, Benitez J, Southey MC, Schmidt MK, Fasching PA, Peto J, Humphreys MK, Wang Q, Michailidou K, Sawyer EJ, Burwinkel B, Guénel P, Bojesen SE, Milne RL, Brenner H, Lochmann M, Aittomäki K, Dörk T, Margolin S, Mannermaa A, Lambrechts D, Chang-Claude J, Radice P, Giles GG, Haiman CA, Winqvist R, Devillee P, García-Closas M, Schoof N, Hooning MJ, Cox A, Pharoah PD, Jakubowska A, Orr N, González-Neira A, Pita G, Alonso MR, Hall P, Couch FJ, Simard J, Altshuler D, Easton DF, Chenevix-Trench G, Antoniou AC, and Offit K

Subjects
Adult, Aged, Alleles, BRCA1 Protein genetics, Breast Neoplasms pathology, Female, Genetic Predisposition to Disease, Genotype, Heterozygote, Humans, Middle Aged, Mutation, Polymorphism, Single Nucleotide, Risk Factors, BRCA2 Protein genetics, Breast Neoplasms genetics, Chromosomes, Human, Pair 6 genetics, Genome-Wide Association Study
Abstract

Common genetic variants contribute to the observed variation in breast cancer risk for BRCA2 mutation carriers; those known to date have all been found through population-based genome-wide association studies (GWAS). To comprehensively identify breast cancer risk modifying loci for BRCA2 mutation carriers, we conducted a deep replication of an ongoing GWAS discovery study. Using the ranked P-values of the breast cancer associations with the imputed genotype of 1.4 M SNPs, 19,029 SNPs were selected and designed for inclusion on a custom Illumina array that included a total of 211,155 SNPs as part of a multi-consortial project. DNA samples from 3,881 breast cancer affected and 4,330 unaffected BRCA2 mutation carriers from 47 studies belonging to the Consortium of Investigators of Modifiers of BRCA1/2 were genotyped and available for analysis. We replicated previously reported breast cancer susceptibility alleles in these BRCA2 mutation carriers and for several regions (including FGFR2, MAP3K1, CDKN2A/B, and PTHLH) identified SNPs that have stronger evidence of association than those previously published. We also identified a novel susceptibility allele at 6p24 that was inversely associated with risk in BRCA2 mutation carriers (rs9348512; per allele HR = 0.85, 95% CI 0.80-0.90, P = 3.9 × 10(-8)). This SNP was not associated with breast cancer risk either in the general population or in BRCA1 mutation carriers. The locus lies within a region containing TFAP2A, which encodes a transcriptional activation protein that interacts with several tumor suppressor genes. This report identifies the first breast cancer risk locus specific to a BRCA2 mutation background. This comprehensive update of novel and previously reported breast cancer susceptibility loci contributes to the establishment of a panel of SNPs that modify breast cancer risk in BRCA2 mutation carriers. This panel may have clinical utility for women with BRCA2 mutations weighing options for medical prevention of breast cancer., Competing Interests: The authors have declared that no competing interests exist.

Published
2013
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6. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium.

Author

Agarwal, D, Pineda, S, Michailidou, K, Herranz, J, Pita, G, Moreno, L, Alonso, M, Dennis, J, Wang, Q, Bolla, M, Meyer, K, Menéndez-Rodríguez, P, Hardisson, D, Mendiola, M, González-Neira, A, Lindblom, A, Margolin, S, Swerdlow, A, Orr, N, Jones, M, Matsuo, K, Ito, H, Iwata, H, Kondo, N, Hartman, M, Hui, M, Lim, W, Iau, P, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Kang, D, Choi, J-Y, Park, S, Noh, D-Y, Hopper, J, Schmidt, D, Makalic, E, Southey, M, Teo, S, Yip, C, Sivanandan, K, Tay, W-T, Brauch, H, Brüning, T, Hamann, U, Dunning, A, Shah, M, Andrulis, I, Knight, J, Glendon, G, Tchatchou, S, Schmidt, M, Broeks, A, Rosenberg, E, vant Veer, L, Fasching, P, Renner, S, Ekici, A, Beckmann, M, Shen, C-Y, Hsiung, C-N, Yu, J-C, Hou, M-F, Blot, W, Cai, Q, Tseng, C-C, Van Den Berg, D, Stram, D, Cox, A, Brock, I, Reed, M, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Zheng, W, Deming-Halverson, S, Shrubsole, M, Long, J, Shu, X-O, Lu, W, Gao, Y-T, Zhang, B, Radice, P, Peterlongo, P, Manoukian, S, Mariette, F, Sangrajrang, S, McKay, J, Couch, F, Toland, A, Yannoukakos, D, Fletcher, O, Johnson, N, dos Santos Silva, I, Peto, J, Marme, F, and Burwinkel, B

Subjects
Breast Neoplasms, Case-Control Studies, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Receptor, Fibroblast Growth Factor, Type 1, Receptor, Fibroblast Growth Factor, Type 2, Receptor, Fibroblast Growth Factor, Type 3, Receptor, Fibroblast Growth Factor, Type 4, Receptor, Fibroblast Growth Factor, Type 5
Abstract

BACKGROUND: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. METHODS: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. RESULTS: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. CONCLUSION: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.

Published
2014

7. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Børresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Brüning, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, Geisler, J, Collée, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, García-Sáenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, González-Neira, A, Alnæs, GIG, Grip, M, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, C, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Fox, S, Campbell, I, Bowtell, D, Spurdle, A, Webb, P, de Fazio, A, Tassell, M, Kirk, J, Lindeman, G, Price, M, Southey, M, Milne, R, Deb, S, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Krüger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, AV, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkäs, K, Radice, P, Rennert, G, Romero, A, Rüdiger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schöttker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, García-Closas, M, Chatterjee, N, Ahearn, Thomas U [0000-0003-0771-7752], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Medicum, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Department of Obstetrics and Gynecology, Biosciences, HUS Gynecology and Obstetrics, Clinical Genetics, Medical Oncology, and Pathology

Subjects
False discovery rate, Oncology, Common breast cancer susceptibility variants, Receptor, ErbB-2, Estrogen receptor, PROGRESSION, Etiologic heterogeneity, Logistic regression, Basic medicine, Breast cancer, 0302 clinical medicine, PRIMARY THERAPY, HETEROGENEITY, RC254-282, HISTOLOGICAL GRADE, 0303 health sciences, Breast Neoplasms/epidemiology, Receptors, Estrogen/genetics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, INTERNATIONAL EXPERT CONSENSUS, humanities, Receptor, ErbB-2/genetics, 3. Good health, Receptors, Estrogen, Receptors, Progesterone/genetics, 030220 oncology & carcinogenesis, Female, Biomarkers, Tumor/genetics, Receptors, Progesterone, Medical Genetics, Research Article, Risk, medicine.medical_specialty, SUSCEPTIBILITY LOCI, 3122 Cancers, Breast Neoplasms, Single-nucleotide polymorphism, Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Progesterone receptor, Biomarkers, Tumor, medicine, Genetic predisposition, Humans, ddc:610, GENOME-WIDE ASSOCIATION, Genetic association, Medicinsk genetik, 030304 developmental biology, Cancer och onkologi, medicine.disease, Cancer and Oncology, Clinical medicine, Genome-Wide Association Study
Abstract

Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate p Conclusion This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

Published
2020

8. Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk

Author

Lin, W.Y., Camp, N.J., Ghoussaini, M., Beesley, J., Michailidou, K., Hopper, J.L., Apicella, C., Southey, M.C., Stone, J., Schmidt, M.K., Broeks, A., Van't Veer, L.J., Rutgers, E.J.T., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Wang, Q., Dennis, J., Sawyer, E.J., Cheng, T., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Surowy, H.M., Burwinkel, B., Guenel, P., Truong, T., Menegaux, F., Mulot, C., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrera, D., Anton-Culver, H., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Meindl, A., Lichtner, P., Schmutzler, R.K., Muller-Myhsok, B., Brauch, H., Bruning, T., Ko, Y.D., Tessier, D.C., Vincent, D., Bacot, F., Nevanlinna, H., Aittomaki, K., Blomqvist, C., Khan, S., Matsuo, K., Ito, H., Iwata, H., Horio, A., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Neven, P., Wauters, E., Wildiers, H., Lambrechts, D., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Radice, P., Peterlongo, P., Manoukian, S., Bonanni, B., Couch, F.J., Wang, X.S., Vachon, C., Purrington, K., Giles, G.G., Milne, R.L., Mclean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Teo, S.H., Yip, C.H., Hassan, N., Vithana, E.N., Kristensen, V., Zheng, W., Deming-Halverson, S., Shrubsole, M.J., Long, J.R., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Kauppila, S., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Garcia-Closas, M., Figueroa, J., Lissowska, J., Brinton, L., Czene, K., Darabi, H., Eriksson, M., Brand, J.S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Jager, A., Li, J.M., Liu, J.J., Humphreys, K., Shu, X.O., Lu, W., Gao, Y.T., Cai, H., Cross, S.S., Reed, M.W.R., Blot, W., Signorello, L.B., Cai, Q.Y., Pharoah, P.D.P., Perkins, B., Shah, M., Blows, F.M., Kang, D., Yoo, K.Y., Noh, D.Y., Hartman, M., Miao, H., Chia, K.S., Putti, T.C., Hamann, U., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Slager, S., Toland, A.E., Yannoukakos, D., Shen, C.Y., Hsiung, C.N., Wu, P.E., Ding, S.L., Ashworth, A., Jones, M., Orr, N., Swerdlow, A.J., Tsimiklis, H., Makalic, E., Schmidt, D.F., Bui, Q.M., Chanock, S.J., Hunter, D.J., Hein, R., Dahmen, N., Beckmann, L., Aaltonen, K., Muranen, T.A., Heikkinen, T., Irwanto, A., Rahman, N., Turnbull, C.A., Waisfisz, Q., Meijers-Heijboer, H.E.J., Adank, M.A., Luijt, R.B. van der, Hall, P., Chenevix-Trench, G., Dunning, A., Easton, D.F., Cox, A., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, Breast Ovarian Canc Susceptibility, Clinical Genetics, Obstetrics & Gynecology, Medical Oncology, Cardiothoracic Surgery, Cancer Center Amsterdam, Amsterdam Reproduction & Development (AR&D), Human Genetics, Human genetics, CCA - Oncogenesis, Ghoussaini, Maya [0000-0002-2415-2143], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Genotyping Techniques, Research Support, U.S. Gov't, P.H.S, CASP8 and FADD-Like Apoptosis Regulating Protein, Genome-wide association study, P.H.S, Medical and Health Sciences, Breast and Ovarian Cancer Susceptibility (BOCS) Study, Medizinische Fakultät, Genetics(clinical), Non-U.S. Gov't, Genetics (clinical), Genetics, Genetics & Heredity, variants, Caspase 8, Research Support, Non-U.S. Gov't, Association Studies Articles, General Medicine, Biological Sciences, ddc, Chromosomes, Human, Pair 2, kConFab Investigators, Female, GENICA Network, Australian Ovarian Cancer Study Group, European Continental Ancestry Group, Non-P.H.S, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Research Support, Polymorphism, Single Nucleotide, White People, N.I.H, Breast cancer, Research Support, N.I.H., Extramural, SDG 3 - Good Health and Well-being, medicine, Journal Article, Humans, Genetic Predisposition to Disease, ddc:610, gene, Genotyping, Molecular Biology, Genetic association, disease, Extramural, Proteins, Odds ratio, medicine.disease, susceptibility loci, Minor allele frequency, Case-Control Studies, genome-wide association, enhancers, U.S. Gov't, casp8, Research Support, U.S. Gov't, Non-P.H.S, Genome-Wide Association Study
Abstract

Previous studies have suggested that polymorphisms in CASP8 on chromosome 2 are associated with breast cancer risk. To clarify the role of CASP8 in breast cancer susceptibility, we carried out dense genotyping of this region in the Breast Cancer Association Consortium (BCAC). Single-nucleotide polymorphisms (SNPs) spanning a 1 Mb region around CASP8 were genotyped in 46 450 breast cancer cases and 42 600 controls of European origin from 41 studies participating in the BCAC as part of a custom genotyping array experiment (iCOGS). Missing genotypes and SNPs were imputed and, after quality exclusions, 501 typed and 1232 imputed SNPs were included in logistic regressionmodels adjusting for study and ancestry principal components. The SNPs retained in the final model were investigated further in data from nine genome-wide association studies (GWAS) comprising in total 10 052 case and 12 575 control subjects. The most significant association signal observed in European subjects was for the imputed intronic SNP rs1830298 in ALS2CR12 (telomeric to CASP8), with per allele odds ratio and 95% confidence interval [OR (95% confidence interval, CI)] for the minor allele of 1.05 (1.03-1.07), P = 1 × 10-5. Three additional independent signals from intronic SNPs were identified, in CASP8 (rs36043647), ALS2CR11 (rs59278883) and CFLAR (rs7558475). The association with rs1830298 was replicated in the imputed results from the combined GWAS (P=3 × 10-6), yielding a combined OR (95% CI) of 1.06 (1.04-1.08), P = 1 × 10-9. Analyses of gene expression associations in peripheral blood and normal breast tissue indicate that CASP8might be the target gene, suggesting amechanism involving apoptosis.

Published
2016

9. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium

Author

Milne, R.L., Burwinkel, B., Michailidou, K., Arias-Perez, J.I., Zamora, M.P., Menendez-Rodriguez, P., Hardisson, D., Mendiola, M., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Dennis, J., Wang, Q., Bolla, M.K., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M., Ko, Y.D., Brauch, H., Hamann, U., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Matsuo, K., Ito, H., Iwata, H., Tajima, K., Li, J.M., Brand, J.S., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Lambrechts, D., Peuteman, G., Christiaens, M.R., Smeets, A., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Hartman, M., Hui, M., Lim, W.Y., Chan, C.W., Marme, F., Yang, R.X., Bugert, P., Lindblom, A., Margolin, S., Garcia-Closas, M., Chanock, S.J., Lissowska, J., Figueroa, J.D., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Hooning, M.J., Kriege, M., Ouweland, A.M.W. van den, Koppert, L.B., Fletcher, O., Johnson, N., Dos-Santos-Silva, I., Peto, J., Zheng, W., Deming-Halverson, S., Shrubsole, M.J., Long, J.R., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Cox, A., Cross, S.S., Reed, M.W.R., Schmidt, M.K., Broeks, A., Cornelissen, S., Braaf, L., Kang, D., Choi, J.Y., Park, S.K., Noh, D.Y., Simard, J., Dumont, M., Goldberg, M.S., Labreche, F., Fasching, P.A., Hein, A., Ekici, A.B., Beckmann, M.W., Radice, P., Peterlongo, P., Azzollini, J., Barile, M., Sawyer, E., Tomlinson, I., Kerin, M., Miller, N., Hopper, J.L., Schmidt, D.F., Makalic, E., Southey, M.C., Teo, S.H., Yip, C.H., Sivanandan, K., Tay, W.T., Shen, C.Y., Hsiung, C.N., Yu, J.C., Hou, M.F., Guenel, P., Truong, T., Sanchez, M., Mulot, C., Blot, W., Cai, Q.Y., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Bogdanova, N., Dork, T., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Shu, X.O., Lu, W., Gao, Y.T., Zhang, B., Couch, F.J., Toland, A.E., Yannoukakos, D., Sangrajrang, S., McKay, J., Wang, X.S., Olson, J.E., Vachon, C., Purrington, K., Severi, G., Baglietto, L., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Czene, K., Eriksson, M., Humphreys, K., Darabi, H., Ahmed, S., Shah, M., Pharoah, P.D.P., Hall, P., Giles, G.G., Benitez, J., Dunning, A.M., Chenevix-Trench, G., Easton, D.F., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, TNBCC, Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Adult, Ataxin-7, A Kinase Anchor Proteins, Breast Neoplasms, Nerve Tissue Proteins, Middle Aged, Protein Serine-Threonine Kinases, Polymorphism, Single Nucleotide, Cytoskeletal Proteins, Case-Control Studies, Humans, NIMA-Related Kinases, Female, Genetic Predisposition to Disease, health care economics and organizations, Alleles, Genome-Wide Association Study
Abstract

Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility\ud variants, although most studies have been underpowered to detect associations of a realistic magnitude.\ud We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which\ud evidence of association with breast cancer risk had been previously reported. Case-control data were combined\ud from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional\ud logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21\ud [rs1053338, per allele OR 5 1.07, 95% confidence interval (CI) 5 1.04–1.10, P 5 2.9 3 1026\ud ], AKAP9-M463I at\ud 7q21 (rs6964587, OR 5 1.05, 95% CI 5 1.03–1.07, P 5 1.7 3 1026\ud ) and NEK10-L513S at 3p24 (rs10510592,\ud OR 5 1.10, 95% CI 5 1.07 –1.12, P 5 5.1 3 10217). The first two associations reached genome-wide statistical\ud significance in a combined analysis of available data, including independent data from nine genome-wide association\ud studies (GWASs): for ATXN7-K264R, OR 5 1.07 (95% CI 5 1.05–1.10, P 5 1.0 3 1028\ud ); for AKAP9-M463I,\ud OR 5 1.05 (95% CI 5 1.04–1.07, P 5 2.0 3 10210). Further analysis of other common variants in these two\ud regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified\ud a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is\ud associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility\ud region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of\ud the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast\ud cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying\ud variants and the genes through which they act.

Published
2014

10. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium

Author

Rl, Milne, Herranz J, Michailidou K, Joe Dennis, Jp, Tyrer, Mp, Zamora, Ji, Arias-Perez, González-Neira A, Pita G, Alonso MR, Wang Q, Mk, Bolla, Czene K, Eriksson M, Humphreys K, Darabi H, Li J, Anton-Culver H, Sl, Neuhausen, Ziogas A, Ca, Clarke, Jl, Hopper, Gs, Dite, Apicella C, Mc, Southey, Chenevix-Trench G, kConFab Investigators, Australian Ovarian Cancer Study Group, Swerdlow A, Ashworth A, Orr N, Schoemaker M, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Il, Andrulis, Ja, Knight, Glendon G, Am, Mulligan, Se, Bojesen, Bg, Nordestgaard, Flyger H, Nevanlinna H, Ta, Muranen, Aittomäki K, Blomqvist C, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Je, Olson, Vachon C, Purrington K, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Am, Dunning, Shah M, Guénel P, Truong T, Sanchez M, Mulot C, Brenner H, Ak, Dieffenbach, Arndt V, Stegmaier C, Lindblom A, Margolin S, Hooning M, Hollestelle A, Collée M, Jager A, Cox A, Iw, Brock, Mw, Reed, Devilee P, Ra, Tollenaar, Seynaeve C, Ca, Haiman, Be, Henderson, Schumacher F, Le Marchand L, Simard J, Dumont M, Soucy P, Dörk T, Nv, Bogdanova, Hamann U, Försti A, Rüdiger T, Hu, Ulmer, Pa, Fasching, Häberle L, Ab, Ekici, Mw, Beckmann, Fletcher O, Johnson N, Id, Silva, Peto J, Radice P, Peterlongo P, Peissel B, Mariani P, Gg, Giles, Severi G, Baglietto L, Sawyer E, Tomlinson I, Kerin M, Miller N, Marme F, Burwinkel B, Mannermaa A, Kataja V, Vm, Kosma, Hartikainen J, Lambrechts D, Bt, Yesilyurt, Floris G, Leunen K, Gg, Alnæs, Kristensen V, Al, Børresen-Dale, García-Closas M, Sj, Chanock, Lissowska J, Jd, Figueroa, Mk, Schmidt, Broeks A, Verhoef S, Ej, Rutgers, Brauch H, Brüning T, Yd, Ko, Genica, The Network, Fj, Couch, Ae, Toland, Tnbcc, The, Yannoukakos D, Pd, Pharoah, Hall P, Benítez J, Malats N, and Df, Easton

Subjects
Australian Ovarian Cancer Study Group, Genetics & Heredity, Breast Neoplasms, Epistasis, Genetic, Biological Sciences, TNBCC, Polymorphism, Single Nucleotide, Medical and Health Sciences, Logistic Models, Case-Control Studies, kConFab Investigators, Humans, Genetic Predisposition to Disease, Female, GENICA Network, Genome-Wide Association Study
Abstract

Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.

Published
2014

11. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author

Michailidou, K., Hall, P., Gonzalez-Neira, A., Ghoussaini, M., Dennis, J., Milne, R.L., Schmidt, M.K., Chang-Claude, J., Bojesen, S.E., Bolla, M.K., Wang, Q., Dicks, E., Lee, A., Turnbull, C., Rahman, N., Fletcher, O., Peto, J., Gibson, L., Silva, I.D., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Czene, K., Irwanto, A., Liu, J.J., Waisfisz, Q., Meijers-Heijboer, H., Adank, M., Luijt, R.B. van der, Hein, R., Dahmen, N., Beckman, L., Meindl, A., Schmutzler, R.K., Muller-Myhsok, B., Lichtner, P., Hopper, J.L., Southey, M.C., Makalic, E., Schmidt, D.F., Uitterlinden, A.G., Hofman, A., Hunter, D.J., Chanock, S.J., Vincent, D., Bacot, F., Tessier, D.C., Canisius, S., Wessels, L.F.A., Haiman, C.A., Shah, M., Luben, R., Brown, J., Luccarini, C., Schoof, N., Humphreys, K., Li, J.M., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Couch, F.J., Wang, X.S., Vachon, C., Stevens, K.N., Lambrechts, D., Moisse, M., Paridaens, R., Christiaens, M.R., Rudolph, A., Nickels, S., Flesch-Janys, D., Johnson, N., Aitken, Z., Aaltonen, K., Heikkinen, T., Broeks, A., Van't Veer, L.J., Schoot, C.E. van der, Guenel, P., Truong, T., Laurent-Puig, P., Menegaux, F., Marme, F., Schneeweiss, A., Sohn, C., Burwinke, B., Zamora, M.P., Perez, J.I.A., Pita, G., Alonso, M.R., Cox, A., Brock, I.W., Cross, S.S., Reed, M.W.R., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Henderson, B.E., Schumacher, F., Marchand, L. le, Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Lindblom, A., Margolin, S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Jager, A., Bui, Q.M., Stone, J., Dite, G.S., Apicella, C., Tsimiklis, H., Giles, G.G., Severi, G., Baglietto, L., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Brenner, H., Muller, H., Arndt, V., Stegmaier, C., Swerdlown, A., Ashworth, A., Orr, N., Jones, M., Figueroa, J., Lissowska, J., Brinton, L., Goldberg, M.S., Labreche, F., Dumont, M., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Brauch, H., Hamann, U., Bruning, T., Radice, P., Peterlongo, P., Manouldan, S., Bonanni, B., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Jakubowska, A., Lubinski, J., Jaworska, K., Durda, K., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Kristensen, V.N., Anton-Culver, H., Slager, S., Toland, A.E., Edge, S., Fostira, F., Kang, D., Yoo, K.Y., Noh, D.Y., Matsuo, K., Ito, H., Iwata, H., Sueta, A., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Shu, X.O., Lu, W., Gao, Y.T., Cai, H., Teo, S.H., Yip, C.H., Phuah, S.Y., Cornes, B.K., Hartman, M., Miao, H., Lim, W.Y., Sng, J.H., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Shen, C.Y., Hsiung, C.N., Wu, P.E., Ding, S.L., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Blot, W.J., Signorello, L.B., Cai, Q.Y., Zheng, W., Deming-Halverson, S., Shrubsole, M., Long, J.R., Simard, J., Garcia-Closas, M., Pharoah, P.D.P., Chenevix-Trench, G., Dunning, A.M., Benitez, J., Easton, D.F., Breast Ovarian Canc Susceptibility, Hereditary Breast Ovarian Canc Res, kConFab Investigators, Australian Ovarian Can Study Grp, GENICA Gene Environm Interaction B, CCA -Cancer Center Amsterdam, ARD - Amsterdam Reproduction and Development, Human Genetics, Landsteiner Laboratory, Clinical Haematology, Clinical Genetics, Internal Medicine, Epidemiology, Medical Oncology, Cardiothoracic Surgery, Human genetics, CCA - Oncogenesis, and ~

Subjects
signaling pathway, Genotyping, Genotype, Single-nucleotide polymorphism, Genome-wide association study, Breast Neoplasms, consortium, Biology, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genome-Wide Association Study, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Genetic Predisposition to Disease, Genetics, Article, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, common variants, expression, medicine, Polymorphism, gene, hormone-related protein, 030304 developmental biology, Genetic association, 0303 health sciences, Breast cancer susceptibility, Cancer, Single Nucleotide, medicine.disease, confer susceptibility, susceptibility loci, 3. Good health, 14q24.1 rad51l1, TOX3, 030220 oncology & carcinogenesis, genome-wide association
Abstract

Journal article Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ~9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10!¿8). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility. European Community Seventh Framework Programme - grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) peer-reviewed

Published
2013

12. Novel genes and sex differences in COVID-19 severity

Author

Cruz, Raquel, Diz-de Almeida, Silvia, López de Heredia, Miguel, Quintela, Inés, Ceballos, Francisco C., Pita, Guillermo, Lorenzo-Salazar, José M, González-Montelongo, Rafaela, Gago-Domínguez, Manuela, Sevilla Porras, Marta, Tenorio Castaño, Jair Antonio, Nevado, Julian, Aguado, Jose María, Aguilar, Carlos, Aguilera-Albesa, Sergio, Almadana, Virginia, Almoguera, Berta, Alvarez, Nuria, Andreu-Bernabeu, Álvaro, Arana-Arri, Eunate, Arango, Celso, Arranz, María J, Artiga, Maria-Jesus, Baptista-Rosas, Raúl C, Barreda-Sánchez, María, Belhassen-Garcia, Moncef, Bezerra, Joao F., Bezerra, Marcos A C, Boix-Palop, Lucía, Brion, María, Brugada, Ramón, Bustos, Matilde, Calderón, Enrique J., Carbonell, Cristina, Castano, Luis, Castelao, Jose E., Conde-Vicente, Rosa, Cordero-Lorenzana, M Lourdes, Cortes-Sanchez, Jose L., Corton, Marta, Darnaude, M Teresa, De Martino-Rodríguez, Alba, Del Campo-Pérez, Victor, Diaz de Bustamante, Aranzazu, Domínguez-Garrido, Elena, Luchessi, Andre D., Eiros, Rocío, Estigarribia Sanabria, Gladys Mercedes, Carmen Fariñas, María, Fernández-Robelo, Uxía, Fernández-Rodríguez, Amanda, Fernández-Villa, Tania, Gil-Fournier, Belén, Gómez-Arrue, Javier, González Álvarez, Beatriz, Gonzalez Bernaldo de Quirós, Fernan, González-Peñas, Javier, Gutiérrez-Bautista, Juan F., Herrero, María José, Herrero-Gonzalez, Antonio, Jimenez-Sousa, María A, Lattig, María Claudia, Liger Borja, Anabel, Lopez-Rodriguez, Rosario, Mancebo, Esther, Martín-López, Caridad, Martín, Vicente, Martinez-Nieto, Oscar, Martinez-Lopez, Iciar, Martinez-Resendez, Michel F., Martinez-Perez, Angel, Mazzeu, Juliana F., Merayo Macías, Eleuterio, Minguez, Pablo, Moreno Cuerda, Victor, Silbiger, Vivian N., Oliveira, Silviene F., Ortega-Paino, Eva, Parellada, Mara, Paz-Artal, Estela, Santos, Ney P C, Pérez-Matute, Patricia, Perez, Patricia, Pérez-Tomás, M Elena, Perucho, Teresa, Pinsach-Abuin, Mel Lina, Pompa-Mera, Ericka N., Porras-Hurtado, Gloria L., Pujol, Aurora, Ramiro León, Soraya, Resino, Salvador, Fernandes, Marianne R., Rodríguez-Ruiz, Emilio, Rodriguez-Artalejo, Fernando, Rodriguez-Garcia, José A, Ruiz Cabello, Francisco, Ruiz-Hornillos, Javier, Ryan, Pablo, Soria, José Manuel, Souto, Juan Carlos, Tamayo, Eduardo, Tamayo-Velasco, Alvaro, Taracido-Fernandez, Juan Carlos, Teper, Alejandro, Torres-Tobar, Lilian, Urioste, Miguel, Valencia-Ramos, Juan, Yáñez, Zuleima, Zarate, Ruth, Nakanishi, Tomoko, Pigazzini, Sara, Degenhardt, Frauke, Butler-Laporte, Guillaume, Maya-Miles, Douglas, Bujanda, Luis, Bouysran, Youssef, Palom, Adriana, Ellinghaus, David, Martínez-Bueno, Manuel, Rolker, Selina, Amitrano, Sara, Roade, Luisa, Fava, Francesca, Spinner, Christoph D., Prati, Daniele, Bernardo, David, Garcia, Federico, Darcis, Gilles, Fernández-Cadenas, Israel, Holter, Jan Cato, Banales, Jesus M., Frithiof, Robert, Duga, Stefano, Asselta, Rosanna, Pereira, Alexandre C., Romero-Gómez, Manuel, Nafría-Jiménez, Beatriz, Hov, Johannes R., Migeotte, Isabelle, Renieri, Alessandra, Planas, Anna M., Ludwig, Kerstin U., Buti, Maria, Rahmouni, Souad, Alarcón-Riquelme, Marta E., Schulte, Eva C., Franke, Andre, Karlsen, Tom H., Valenti, Luca, Zeberg, Hugo, Richards, Brent, Ganna, Andrea, Boada, Mercè, de Rojas, Itziar, Ruiz, Agustín, Sánchez-Juan, Pascual, Real, Luis Miguel, Guillen-Navarro, Encarna, Ayuso, Carmen, González-Neira, Anna, Riancho, José A, Rojas-Martinez, Augusto, Flores, Carlos, Lapunzina, Pablo, Carracedo, Angel, 0000-0002-6964-8898, 0000-0001-7463-2148, 0000-0002-3166-5086, 0000-0003-1374-0756, 0000-0001-9510-5646, 0000-0001-7516-3179, 0000-0001-5388-0396, 0000-0002-3875-5367, 0000-0003-3818-0871, 0000-0002-8541-2519, 0000-0003-3765-6778, Institut Català de la Salut, [Cruz R] Centro Nacional de Genotipado (CEGEN), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain. Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [Diz-de Almeida S] Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [López de Heredia M] Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain. [Quintela I] Centro Nacional de Genotipado (CEGEN), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [Ceballos FC] Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología (CNM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. [Pita G] Spanish National Cancer Research Centre, Human Genotyping-CEGEN Unit, Madrid, Spain. [Palom A] Unitat Hepàtica, Servei de Medicina Interna, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain. Grup de Recerca de les Malalties Hepàtiques, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Buti M] Centre for Biomedical Network Research on Hepatic and Digestive Diseases (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain. Unitat Hepàtica, Servei de Medicina Interna, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain, Vall d'Hebron Barcelona Hospital Campus, Universidad de Cantabria, SCOURGE Cohort Group, HOSTAGE Cohort Group, GRA@CE Cohort Group, Instituto de Salud Carlos III, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Fundación Amancio Ortega, Banco Santander, Estrella de Levante, Fundación La Caixa, Agencia Estatal de Investigación (España), Cabildo Insular de Tenerife (España), Fundación Canaria de Investigación Sanitaria, Institute for Molecular Medicine Finland, University of Helsinki, Data Science Genetic Epidemiology Lab, European Commission, Colabora Mujer, Fundación Canaria Instituto de Investigación Sanitaria de Canarias, and Gobierno de Canarias (España)

Subjects
INTERFERON, EXPRESSION, Male, Settore MED/09 - Medicina Interna, COVID-19 (Malaltia) - Aspectes genètics, GENETICS, Genetic Phenomena::Genotype::Genetic Predisposition to Disease [PHENOMENA AND PROCESSES], Diàtesi, AUTOZYGOSITY, Polymorphism, Single Nucleotide, fenómenos fisiológicos reproductivos y urinarios::fenómenos fisiológicos de la reproducción::características sexuales [FENÓMENOS Y PROCESOS], Genetics, virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Humans, Genetic Predisposition to Disease, HOMOZYGOSITY, Reproductive and Urinary Physiological Phenomena::Reproductive Physiological Phenomena::Sex Characteristics [PHENOMENA AND PROCESSES], Molecular Biology, Genetics (clinical), Malalties - Factors sexuals, fenómenos genéticos::genotipo::predisposición genética a la enfermedad [FENÓMENOS Y PROCESOS], Sex Characteristics, RANGE, ANDROGEN RECEPTOR, COVID-19, RUNS, Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], ASSOCIATION, General Medicine, Middle Aged, Genetic Loci, 1182 Biochemistry, cell and molecular biology, Female, LUNG, Genome-Wide Association Study
Abstract

Here, we describe the results of a genome-wide study conducted in 11939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P= 60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided., Instituto de Salud Carlos III European Commission COV20_00622 COV20/00792 COV20_00181 COV20_1144 PI20/00876, European Union (ERDF) 'A way of making Europe', Fundacion Amancio Ortega, Banco de Santander, Estrella de Levante S.A., Colabora Mujer Association, La Caixa Foundation, Agencia Estatal de Investigacion RTC-2017-6471-1, Cabildo Insular de Tenerife (Apuestas cientificas del ITER para colaborar en la lucha contra la COVID-19) CGIEU0000219140, Fundacion Canaria Instituto de Investigacion Sanitaria de Canarias PIFIISC20/57

Published
2022

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