Expressive

rs1209950 - LINC00114 - ETS2

Magnitude 4.5 · 2 studies on file

Reported associations

  • Genome-wide association study on overall survival of advanced non-small cell lung cancer patients treated with carboplatin and paclitaxel. - Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer (2011) · Sato Y, Yamamoto N, Kunitoh H, Ohe Y, Minami H, Laird NM, Katori N, Saito Y, Ohnami S, Sakamoto H, Sawada J, Saijo N, Yoshida T, Tamura T · PubMed 21079520

    Our goal was to identify candidate polymorphisms that could influence overall survival (OS) in advanced non-small cell lung cancer (NSCLC) patients treated with carboplatin (CBDCA) and paclitaxel (PTX). Chemotherapy-naïve stage IIIB or IV NSCLC patients treated with CBDCA (area under the curve = 6 mg/mL/min) and PTX (200 mg/m, 3-hour period) were eligible for this study. The DNA samples were extracted from peripheral blood mononuclear cells before treatment, and genotypes at approximately 110,000 gene-centric single-nucleotide polymorphisms (SNPs) were obtained by Illumina's Sentrix Human-1 Genotyping BeadChip. Statistical analyses were performed by the log-rank test and Cox proportional hazards model. From July 2002 to May 2004, 105 patients received a total of 308 cycles of treatment. T

  • Genomics and phenomics of body mass index reveals a complex disease network - Unknown journal (n.d.) · Unknown authors · PubMed 36581621

    ABSTRACT: Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.1 million) and African (N~100,000) ancestry, respectively. Using a BMI genetic risk score including 2446 variants, 316 diagnoses are associated in the Million Veteran Program, with 96.5% showing increased risk. A co-morbidity network analysis reveals seven disease communities containing multiple interconnected diseases associated with BMI

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