The University of Chicago Header Logo

Connection

Co-Authors

Back to Details
This is a "connection" page, showing publications co-authored by Farzana Jasmine and Muhammad G. Kibriya.
Farzana Jasmine
Connection Strength
11.229
Muhammad G. Kibriya
  1. Association of KRAS Mutation and Gene Pathways in Colorectal Carcinoma: A Transcriptome- and Methylome-Wide Study and Potential Implications for Therapy. Int J Mol Sci. 2024 Jul 25; 25(15).
    View in: PubMed
    Score: 0.977
  2. Molecular Profiling and the Interaction of Somatic Mutations with Transcriptomic Profiles in Non-Melanoma Skin Cancer (NMSC) in a Population Exposed to Arsenic. Cells. 2024 Jun 18; 13(12).
    View in: PubMed
    Score: 0.970
  3. Association of DNA Promoter Methylation and BRAF Mutation in Thyroid Cancer. Curr Oncol. 2023 03 02; 30(3):2978-2996.
    View in: PubMed
    Score: 0.887
  4. A Transcriptome and Methylome Study Comparing Tissues of Early and Late Onset Colorectal Carcinoma. Int J Mol Sci. 2022 Nov 17; 23(22).
    View in: PubMed
    Score: 0.869
  5. Relative Telomere Length Change in Colorectal Carcinoma and Its Association with Tumor Characteristics, Gene Expression and Microsatellite Instability. Cancers (Basel). 2022 Apr 30; 14(9).
    View in: PubMed
    Score: 0.837
  6. Interaction between Microsatellite Instability (MSI) and Tumor DNA Methylation in the Pathogenesis of Colorectal Carcinoma. Cancers (Basel). 2021 Oct 01; 13(19).
    View in: PubMed
    Score: 0.804
  7. A novel pooled-sample multiplex luminex assay for high-throughput measurement of relative telomere length. Am J Hum Biol. 2018 07; 30(4):e23118.
    View in: PubMed
    Score: 0.628
  8. Interpretation of genome-wide infinium methylation data from ligated DNA in formalin-fixed, paraffin-embedded paired tumor and normal tissue. BMC Res Notes. 2012 Feb 22; 5:117.
    View in: PubMed
    Score: 0.413
  9. A genome-wide study of cytogenetic changes in colorectal cancer using SNP microarrays: opportunities for future personalized treatment. PLoS One. 2012; 7(2):e31968.
    View in: PubMed
    Score: 0.413
  10. Whole-genome amplification enables accurate genotyping for microarray-based high-density single nucleotide polymorphism array. Cancer Epidemiol Biomarkers Prev. 2008 Dec; 17(12):3499-508.
    View in: PubMed
    Score: 0.330
  11. Association of Microsatellite Instability and Gene Expression Profile in Colorectal Carcinoma and Potential Implications for Therapy. Medicina (Kaunas). 2024 Feb 20; 60(3).
    View in: PubMed
    Score: 0.237
  12. Pathways Related to Colon Inflammation Are Associated with Colorectal Carcinoma: A Transcriptome- and Methylome-Wide Study. Cancers (Basel). 2023 May 26; 15(11).
    View in: PubMed
    Score: 0.225
  13. Interaction of Arsenic Exposure and Transcriptomic Profile in Basal Cell Carcinoma. Cancers (Basel). 2022 Nov 15; 14(22).
    View in: PubMed
    Score: 0.217
  14. IBD-associated Colon Cancers Differ in DNA Methylation and Gene Expression Profiles Compared With Sporadic Colon Cancers. J Crohns Colitis. 2019 Jul 25; 13(7):884-893.
    View in: PubMed
    Score: 0.173
  15. Association between genome-wide copy number variation and arsenic-induced skin lesions: a prospective study. Environ Health. 2017 07 18; 16(1):75.
    View in: PubMed
    Score: 0.150
  16. Novel Luminex Assay for Telomere Repeat Mass Does Not Show Well Position Effects Like qPCR. PLoS One. 2016; 11(5):e0155548.
    View in: PubMed
    Score: 0.138
  17. Telomere length measurement by a novel Luminex-based assay: a blinded comparison to Southern blot. Int J Mol Epidemiol Genet. 2016; 7(1):18-23.
    View in: PubMed
    Score: 0.137
  18. Measurement of telomere length: a new assay using QuantiGene chemistry on a Luminex platform. Cancer Epidemiol Biomarkers Prev. 2014 Dec; 23(12):2667-72.
    View in: PubMed
    Score: 0.125
  19. A genome-wide DNA methylation study in colorectal carcinoma. BMC Med Genomics. 2011 Jun 23; 4:50.
    View in: PubMed
    Score: 0.099
  20. Analyses and interpretation of whole-genome gene expression from formalin-fixed paraffin-embedded tissue: an illustration with breast cancer tissues. BMC Genomics. 2010 Nov 08; 11:622.
    View in: PubMed
    Score: 0.094
  21. A pilot genome-wide association study of early-onset breast cancer. Breast Cancer Res Treat. 2009 Apr; 114(3):463-77.
    View in: PubMed
    Score: 0.079
  22. Changes in gene expression profiles in response to selenium supplementation among individuals with arsenic-induced pre-malignant skin lesions. Toxicol Lett. 2007 Mar 08; 169(2):162-76.
    View in: PubMed
    Score: 0.073
  23. DNA methylation correlates of chronological age in diverse human tissue types. Epigenetics Chromatin. 2024 Aug 08; 17(1):25.
    View in: PubMed
    Score: 0.061
  24. Exposure to metal mixtures and telomere length in Bangladeshi children. Am J Epidemiol. 2024 Jul 05.
    View in: PubMed
    Score: 0.061
  25. The association of cigarette smoking with DNA methylation and gene expression in human tissue samples. Am J Hum Genet. 2024 04 04; 111(4):636-653.
    View in: PubMed
    Score: 0.060
  26. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature. 2024 Mar; 627(8003):347-357.
    View in: PubMed
    Score: 0.059
  27. Duration-sensitive association between air pollution exposure and changes in cardiometabolic biomarkers: Evidence from a predominantly African American cohort. Environ Res. 2024 Jan 01; 240(Pt 2):117496.
    View in: PubMed
    Score: 0.058
  28. Somatic loss of the Y chromosome is associated with arsenic exposure among Bangladeshi men. Int J Epidemiol. 2023 08 02; 52(4):1035-1046.
    View in: PubMed
    Score: 0.057
  29. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. medRxiv. 2023 Mar 31.
    View in: PubMed
    Score: 0.056
  30. Sequencing-based fine-mapping and in silico functional characterization of the 10q24.32 arsenic metabolism efficiency locus across multiple arsenic-exposed populations. PLoS Genet. 2023 01; 19(1):e1010588.
    View in: PubMed
    Score: 0.055
  31. DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits. Nat Genet. 2023 01; 55(1):112-122.
    View in: PubMed
    Score: 0.055
  32. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet. 2022 05; 54(5):560-572.
    View in: PubMed
    Score: 0.052
  33. Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. Commun Biol. 2022 May 05; 5(1):441.
    View in: PubMed
    Score: 0.052
  34. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. Commun Biol. 2022 04 07; 5(1):329.
    View in: PubMed
    Score: 0.052
  35. Arsenic exposure from drinking water and endothelial dysfunction in Bangladeshi adolescents. Environ Res. 2022 05 15; 208:112697.
    View in: PubMed
    Score: 0.051
  36. Urinary arsenic and relative telomere length in 5-7 year old children in Bangladesh. Environ Int. 2021 11; 156:106765.
    View in: PubMed
    Score: 0.050
  37. Erratum: "Rare, protein-altering variants in AS3MT and arsenic metabolism efficiency: a multi-population association study". Environ Health Perspect. 2021 May; 129(5):59003.
    View in: PubMed
    Score: 0.049
  38. Rare, Protein-Altering Variants in AS3MT and Arsenic Metabolism Efficiency: A Multi-Population Association Study. Environ Health Perspect. 2021 04; 129(4):47007.
    View in: PubMed
    Score: 0.049
  39. Exposure to metal mixtures in relation to blood pressure among children 5-7 years old: An observational study in Bangladesh. Environ Epidemiol. 2021 Apr; 5(2):e135.
    View in: PubMed
    Score: 0.048
  40. Cohort profile: the ChicagO Multiethnic Prevention and Surveillance Study (COMPASS). BMJ Open. 2020 09 16; 10(9):e038481.
    View in: PubMed
    Score: 0.047
  41. Determinants of telomere length across human tissues. Science. 2020 09 11; 369(6509).
    View in: PubMed
    Score: 0.047
  42. The Association Between Smoking and Gut Microbiome in Bangladesh. Nicotine Tob Res. 2020 07 16; 22(8):1339-1346.
    View in: PubMed
    Score: 0.046
  43. The effect of age on DNA methylation in whole blood among Bangladeshi men and women. BMC Genomics. 2019 Sep 10; 20(1):704.
    View in: PubMed
    Score: 0.044
  44. The association between gut microbiome and anthropometric measurements in Bangladesh. Gut Microbes. 2020; 11(1):63-76.
    View in: PubMed
    Score: 0.043
  45. Correction: A missense variant in FTCD is associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2019 May; 15(5):e1008172.
    View in: PubMed
    Score: 0.043
  46. A missense variant in FTCD is associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2019 03; 15(3):e1007984.
    View in: PubMed
    Score: 0.042
  47. Lack of Association between Opioid-Receptor Genotypes and Smoking Cessation Outcomes in a Randomized, Controlled Naltrexone Trial. Alcohol Alcohol. 2019 Jan 09; 54(5):559-565.
    View in: PubMed
    Score: 0.042
  48. The contribution of parent-to-offspring transmission of telomeres to the heritability of telomere length in humans. Hum Genet. 2019 Jan; 138(1):49-60.
    View in: PubMed
    Score: 0.041
  49. The role of gut microbiome and its interaction with arsenic exposure in carotid intima-media thickness in a Bangladesh population. Environ Int. 2019 02; 123:104-113.
    View in: PubMed
    Score: 0.041
  50. Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer. Cancer Epidemiol Biomarkers Prev. 2018 09; 27(9):1057-1064.
    View in: PubMed
    Score: 0.040
  51. A study of telomere length, arsenic exposure, and arsenic toxicity in a Bangladeshi cohort. Environ Res. 2018 07; 164:346-355.
    View in: PubMed
    Score: 0.039
  52. Co-occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms. Nat Commun. 2018 02 23; 9(1):804.
    View in: PubMed
    Score: 0.039
  53. Screening for gene-environment (G×E) interaction using omics data from exposed individuals: an application to gene-arsenic interaction. Mamm Genome. 2018 02; 29(1-2):101-111.
    View in: PubMed
    Score: 0.039
  54. Genome-wide association study of telomere length among South Asians identifies a second RTEL1 association signal. J Med Genet. 2018 01; 55(1):64-71.
    View in: PubMed
    Score: 0.038
  55. Occupational pesticide exposure and subclinical hypothyroidism among male pesticide applicators. Occup Environ Med. 2018 02; 75(2):79-89.
    View in: PubMed
    Score: 0.038
  56. The association between telomere length and mortality in Bangladesh. Aging (Albany NY). 2017 06 15; 9(6):1537-1551.
    View in: PubMed
    Score: 0.037
  57. Limited influence of germline genetic variation on all-cause mortality in women with early onset breast cancer: evidence from gene-based tests, single-marker regression, and whole-genome prediction. Breast Cancer Res Treat. 2017 Aug; 164(3):707-717.
    View in: PubMed
    Score: 0.037
  58. Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent. PLoS Med. 2016 08; 13(8):e1002105.
    View in: PubMed
    Score: 0.035
  59. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry. Cancer Causes Control. 2016 May; 27(5):679-93.
    View in: PubMed
    Score: 0.034
  60. Epigenetic Alterations and Canonical Pathway Disruption in Papillary Thyroid Cancer: A Genome-wide Methylation Analysis. Ann Surg Oncol. 2016 07; 23(7):2302-9.
    View in: PubMed
    Score: 0.034
  61. DNA methylation and hormone receptor status in breast cancer. Clin Epigenetics. 2016; 8:17.
    View in: PubMed
    Score: 0.034
  62. Gene-arsenic interaction in longitudinal changes of blood pressure: Findings from the Health Effects of Arsenic Longitudinal Study (HEALS) in Bangladesh. Toxicol Appl Pharmacol. 2015 10 01; 288(1):95-105.
    View in: PubMed
    Score: 0.033
  63. The Genetic Architecture of Arsenic Metabolism Efficiency:A SNP-Based Heritability Study of Bangladeshi Adults. Environ Health Perspect. 2015 10; 123(10):985-92.
    View in: PubMed
    Score: 0.032
  64. Genome-wide association study of parity in Bangladeshi women. PLoS One. 2015; 10(3):e0118488.
    View in: PubMed
    Score: 0.032
  65. Interaction between arsenic exposure from drinking water and genetic polymorphisms on cardiovascular disease in Bangladesh: a prospective case-cohort study. Environ Health Perspect. 2015 May; 123(5):451-7.
    View in: PubMed
    Score: 0.032
  66. Mediation analysis demonstrates that trans-eQTLs are often explained by cis-mediation: a genome-wide analysis among 1,800 South Asians. PLoS Genet. 2014 Dec; 10(12):e1004818.
    View in: PubMed
    Score: 0.031
  67. Gene-specific differential DNA methylation and chronic arsenic exposure in an epigenome-wide association study of adults in Bangladesh. Environ Health Perspect. 2015 Jan; 123(1):64-71.
    View in: PubMed
    Score: 0.031
  68. Genome-wide association studies and heritability estimates of body mass index related phenotypes in Bangladeshi adults. PLoS One. 2014; 9(8):e105062.
    View in: PubMed
    Score: 0.031
  69. Genome-wide association study of smoking behaviours among Bangladeshi adults. J Med Genet. 2014 May; 51(5):327-33.
    View in: PubMed
    Score: 0.030
  70. Interaction between arsenic exposure from drinking water and genetic susceptibility in carotid intima-media thickness in Bangladesh. Toxicol Appl Pharmacol. 2014 May 01; 276(3):195-203.
    View in: PubMed
    Score: 0.030
  71. A genome-wide association study of early-onset breast cancer identifies PFKM as a novel breast cancer gene and supports a common genetic spectrum for breast cancer at any age. Cancer Epidemiol Biomarkers Prev. 2014 Apr; 23(4):658-69.
    View in: PubMed
    Score: 0.030
  72. Baseline comorbidities in a skin cancer prevention trial in Bangladesh. Eur J Clin Invest. 2013 Jun; 43(6):579-88.
    View in: PubMed
    Score: 0.028
  73. Exploring genome-wide DNA methylation profiles altered in hepatocellular carcinoma using Infinium HumanMethylation 450 BeadChips. Epigenetics. 2013 Jan; 8(1):34-43.
    View in: PubMed
    Score: 0.027
  74. Genome-wide aberrant DNA methylation of microRNA host genes in hepatocellular carcinoma. Epigenetics. 2012 Nov; 7(11):1230-7.
    View in: PubMed
    Score: 0.027
  75. Association between arsenic exposure from drinking water and plasma levels of cardiovascular markers. Am J Epidemiol. 2012 Jun 15; 175(12):1252-61.
    View in: PubMed
    Score: 0.026
  76. Genome-wide DNA methylation profiles in hepatocellular carcinoma. Hepatology. 2012 Jun; 55(6):1799-808.
    View in: PubMed
    Score: 0.026
  77. Genome-wide association study identifies chromosome 10q24.32 variants associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2012; 8(2):e1002522.
    View in: PubMed
    Score: 0.026
  78. Do placental genes affect maternal breast cancer? Association between offspring's CGB5 and CSH1 gene variants and maternal breast cancer risk. Cancer Res. 2008 Dec 01; 68(23):9729-34.
    View in: PubMed
    Score: 0.021
  79. Genomewide scan for loss of heterozygosity and chromosomal amplification in breast carcinoma using single-nucleotide polymorphism arrays. Cancer Genet Cytogenet. 2008 Apr 15; 182(2):69-74.
    View in: PubMed
    Score: 0.020
  80. Arsenic metabolism, genetic susceptibility, and risk of premalignant skin lesions in Bangladesh. Cancer Epidemiol Biomarkers Prev. 2007 Jun; 16(6):1270-8.
    View in: PubMed
    Score: 0.019
  81. Gene expression profiles in peripheral lymphocytes by arsenic exposure and skin lesion status in a Bangladeshi population. Cancer Epidemiol Biomarkers Prev. 2006 Jul; 15(7):1367-75.
    View in: PubMed
    Score: 0.017
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.