Genetic variants demonstrating flip-flop phenomenon and breast cancer risk prediction among women of African ancestry

scientific article published on 4 January 2018

Genetic variants demonstrating flip-flop phenomenon and breast cancer risk prediction among women of African ancestry is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1007/S10549-017-4638-1
P2888exact matchhttps://scigraph.springernature.com/pub.10.1007/s10549-017-4638-1
P932PMC publication ID5916755
P698PubMed publication ID29302764

P50authorOlufunmilayo OlopadeQ7088836
Katherine L NathansonQ37369859
Stefan AmbsQ55459145
Yonglan ZhengQ57064050
Barbara NemesureQ60608201
William J. BlotQ91272971
P2093author name stringWei Zheng
Oladosu Ojengbede
Dezheng Huo
Shengfeng Wang
Anselm Hennis
Frank Qian
Temidayo Ogundiran
P2860cites workPopulation structure and eigenanalysisQ21145248
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Genome-wide association studies identify four ER negative-specific breast cancer risk lociQ24622610
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Large-scale genotyping identifies 41 new loci associated with breast cancer riskQ29416989
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Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1.Q34023796
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A comprehensive examination of breast cancer risk loci in African American womenQ34211808
Adjustment for local ancestry in genetic association analysis of admixed populationsQ34588543
Haplotype blocks and linkage disequilibrium in the human genomeQ35191477
No gene is an island: the flip-flop phenomenonQ35677798
Summarizing polygenic risks for complex diseases in a clinical whole-genome reportQ35990450
Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancerQ35996692
SNPs and breast cancer risk prediction for African American and Hispanic womenQ36322904
Genetic susceptibility loci for subtypes of breast cancer in an African American populationQ36514074
Prediction of breast cancer risk based on profiling with common genetic variantsQ36583004
Trans-ethnic study design approaches for fine-mappingQ36870261
A genome-wide association study of breast cancer in women of African ancestryQ37109758
Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestryQ37487782
From candidate gene studies to GWAS and post-GWAS analyses in breast cancerQ38366358
Genetic variants in microRNA and microRNA biogenesis pathway genes and breast cancer risk among women of African ancestryQ39373193
Genome-wide association studies in women of African ancestry identified 3q26.21 as a novel susceptibility locus for oestrogen receptor negative breast cancerQ40346126
Genetic flip-flop without an accompanying change in linkage disequilibriumQ43262246
Consistency of genome-wide associations across major ancestral groupsQ44515366
Polygenes, risk prediction, and targeted prevention of breast cancerQ81523323
A role for common genomic variants in the assessment of familial breast cancerQ85312916
Public health implications from COGS and potential for risk stratification and screeningQ86499074
P407language of work or nameEnglishQ1860
P577publication date2018-01-04
P1433published inBreast Cancer Research and TreatmentQ326085
P1476titleGenetic variants demonstrating flip-flop phenomenon and breast cancer risk prediction among women of African ancestry

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cites work (P2860)
Q92510255An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines
Q92827687Atypical Chemokine Receptor 1 (DARC/ACKR1) in Breast Tumors Is Associated with Survival, Circulating Chemokines, Tumor-Infiltrating Immune Cells, and African Ancestry
Q99234116Cancer health disparities in racial/ethnic minorities in the United States
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Q58113261Polygenic Determinants for Subsequent Breast Cancer Risk in Survivors of Childhood Cancer: The St Jude Lifetime Cohort Study (SJLIFE)
Q90277861Polygenic risk scores for breast cancer risk prediction: Lessons learned and future opportunities
Q92675127Prediagnostic breast milk DNA methylation alterations in women who develop breast cancer
Q98467125Understanding breast cancer disparities-a multi-scale challenge

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