Artitaya Lophatananon
University of Manchester
Genome-wide association studyCancerInternal medicineGenotypeSNPOncologyCase-control studySingle-nucleotide polymorphismOdds ratioGenetic associationProstate cancerPopulationBreast cancerGeneticsGenetic predispositionMedicineCohortLocus (genetics)Estrogen receptorBiology
120Publications
33H-index
5,009Citations
Publications 122
Newest
#1D. Gareth EvansH-Index: 107
#2Tony HowellH-Index: 4
Last. Kenneth MuirH-Index: 83
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#1Artitaya Lophatananon (University of Manchester)H-Index: 33
#2Krisztina Mekli (University of Manchester)H-Index: 6
Last. Kenneth Muir (University of Manchester)H-Index: 83
view all 7 authors...
OBJECTIVES To investigate the association between shingles and dementia, and between Zostavax vaccination and dementia. DESIGN Nested case-control study. SETTINGS Data were drawn from the UK Biobank cohort study with a total of 228 223 participants with Hospital Episodes Statistics and primary care linkage health records. PARTICIPANTS The analyses included 2378 incident dementia cases and 225 845 controls. Inclusion criteria for incident cases were a dementia diagnosis 3 years or more after the ...
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#1Leila Dorling (University of Cambridge)H-Index: 13
#2Sara Carvalho (University of Cambridge)H-Index: 18
Last. Irene L. Andrulis (U of T: University of Toronto)H-Index: 102
view all 108 authors...
Abstract null BACKGROUND null Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2 and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. null METHODS null Combining 59,639 breast cancer cases and 53,165 controls, we sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1,146 training variants), BRCA1 (644), BRCA2 (1,425), CHEK2 (325) and PALB2 (472). We evaluated breast cancer ...
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#1Minh-Phuong Huynh-Le (UCSD: University of California, San Diego)H-Index: 12
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 17
Last. Artitaya Lophatananon (University of Manchester)H-Index: 33
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Abstract null Introduction null Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. null Methods null In total, 299 SNPs previously as...
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#1Joseph S Baxter (ICR: Institute of Cancer Research)H-Index: 2
#2Nichola Johnson (ICR: Institute of Cancer Research)H-Index: 47
Last. Qin Wang (University of Cambridge)H-Index: 45
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A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific trans...
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#47Anders M. Dale (UCSD: University of California, San Diego)H-Index: 169
#48Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Genotypic data were obtained from PR...
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In this study we aim to examine gene–environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an i...
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#1David V. Conti (SC: University of Southern California)H-Index: 71
#2Burcu F. Darst (SC: University of Southern California)H-Index: 19
Last. Tokhir Dadaev (ICR: Institute of Cancer Research)H-Index: 24
view all 231 authors...
In the version of this article originally published, the names of the equally contributing authors and jointly supervising authors were switched. The correct affiliations are: “These authors contributed equally: David V. Conti, Burcu F. Darst. These authors jointly supervised this work: David V. Conti, Rosalind A. Eeles, Zsofia Kote-Jarai, Christopher A. Haiman.” The error has been corrected in the HTML and PDF versions of the article.
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#1Minh-Phuong Huynh-Le (GW: George Washington University)H-Index: 12
#2Roshan Karunamuni (UCSD: University of California, San Diego)H-Index: 17
Last. Tyler M. Seibert (UCSD: University of California, San Diego)H-Index: 18
view all 13 authors...
65Background: Clinical variables (age, family history, and genetics) are commonly used for prostate cancer risk stratification. Recently, polygenic hazard scores (PHS46, PHS166) were validated as a...
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#2Leila DorlingH-Index: 13
#3Sara CarvalhoH-Index: 18
Last. Cristina FortunoH-Index: 7
view all 197 authors...
BACKGROUND Genetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking. METHODS We used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we ...
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