Genome-wide association studies have identified hundreds of genetic variants associated with specific cancers. A few of these risk regions have been associated with more than one cancer site; however, a systematic evaluation of the associations between risk variants for other cancers and lung cancer risk has yet to be performed.We included 18023 patients with lung […]
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Pleiotropic associations of risk variants identified for other cancers with lung cancer risk: the PAGE and TRICL consortia.
Park SL, Fesinmeyer MD, Timofeeva M, Caberto CP, Kocarnik JM, Han Y, Love SA, Young A, Dumitrescu L, Lin Y, Goodloe R, Wilkens LR, Hindorff L, Fowke JH, Carty C, Buyske S, Schumacher FR, Butler A, Dilks H, Deelman E, Cote ML, Chen W, Pande M, Christiani DC, Field JK, Bickebller H, Risch A, Heinrich […]
Pleiotropic effects of genetic risk variants for other cancers on colorectal cancer risk: PAGE, GECCO and CCFR consortia.
Genome-wide association studies have identified a large number of single nucleotide polymorphisms (SNPs) associated with a wide array of cancer sites. Several of these variants demonstrate associations with multiple cancers, suggesting pleiotropic effects and shared biological mechanisms across some cancers. We hypothesised that SNPs previously associated with other cancers may additionally be associated with colorectal […]
Pleiotropic effects of genetic risk variants for other cancers on colorectal cancer risk: PAGE, GECCO and CCFR consortia.
Cheng I, Kocarnik JM, Dumitrescu L, Lindor NM, Chang-Claude J, Avery CL, Caberto CP, Love SA, Slattery ML, Chan AT, Baron JA, Hindorff LA, Park SL, Schumacher FR, Hoffmeister M, Kraft P, Butler AM, Duggan DJ, Hou L, Carlson CS, Monroe KR, Lin Y, Carty CL, Mann S, Ma J, Giovannucci EL, Fuchs CS, Newcomb […]
Automated extraction of clinical traits of multiple sclerosis in electronic medical records.
The clinical course of multiple sclerosis (MS) is highly variable, and research data collection is costly and time consuming. We evaluated natural language processing techniques applied to electronic medical records (EMR) to identify MS patients and the key clinical traits of their disease course.We used four algorithms based on ICD-9 codes, text keywords, and medications […]
Automated extraction of clinical traits of multiple sclerosis in electronic medical records.
Davis MF, Sriram S, Bush WS, Denny JC, Haines JL,. The clinical course of multiple sclerosis (MS) is highly variable, and research data collection is costly and time consuming. We evaluated natural language processing techniques applied to electronic medical records (EMR) to identify MS patients and the key clinical traits of their disease course.We used […]
Associations between KCNJ6 (GIRK2) gene polymorphisms and pain-related phenotypes.
G-protein coupled inwardly rectifying potassium (GIRK) channels are effectors determining degree of analgesia experienced upon opioid receptor activation by endogenous and exogenous opioids. The impact of GIRK-related genetic variation on human pain responses has received little research attention. We used a tag single nucleotide polymorphism (SNP) approach to comprehensively examine pain-related effects of KCNJ3 (GIRK1) […]
Associations between KCNJ6 (GIRK2) gene polymorphisms and pain-related phenotypes.
Bruehl S, Denton JS, Lonergan D, Koran ME, Chont M, Sobey C, Fernando S, Bush WS, Mishra P, Thornton-Wells TA,. G-protein coupled inwardly rectifying potassium (GIRK) channels are effectors determining degree of analgesia experienced upon opioid receptor activation by endogenous and exogenous opioids. The impact of GIRK-related genetic variation on human pain responses has received […]