Xiao Fan

Full publication records:

https://www.ncbi.nlm.nih.gov/myncbi/xiao.fan.1/bibliography/public/

https://scholar.google.com/citations?user=CAFX9qEWkI4C&hl=en

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Selected Published journal articles:

1.              X. Fan, et al. Penetrance of breast cancer genes from the eMERGE III Network, JCNI Cancer Spectrum, 2021, in revision.

2.              L. Boyle, et al. Genotype and defects in microtubule-based motility correlate with clinical severity in KIF1A Associated Neurological Disorder, AJHG, 2021, accepted.

3.              R. Cuella-Martin, X. Fan, et al. Functional interrogation of genetic variants of the DNA damage response with CRISPR-dependent base editing screens, Cell. 2021, accepted.

4.              E. Rosenthal, et al. Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort. BMC Med Genet. 2020, accepted.

5.              A. Vosoughi, et al. Common germline-somatic variant interactions in advanced urothelial cancer. Nat Commun. 2020, accepted.

6.              J. Bain, et al. Detailed Clinical and Psychological Phenotype of the X-linked HNRNPH2-related Neurodevelopmental Disorder. Neurol Genet. 2020, accepted.

7.              J. Groenendyk, X. Fan, et al. Endoplasmic reticulum and the microRNA environment in the cardiovascular system. Can J Physiol Pharmacol. 2019 Jun; 97(6):515-27.

8.              X. Fan, M.S. Safarova, et al. Targeted Sequencing Study to Uncover Shared Genetic Susceptibility Between Peripheral Artery Disease and Coronary Heart Disease. ATVB. 2019 June; 39(6):1227-33.

9.              S. Gordon, et all. DENND5B Regulates Intestinal Triglyceride Absorption and Body Mass. Sci. Rep. 2019 Mar; 9(1):3597.

10.           M.S. Safarova, B.A. Satterfield, X. Fan, et al. A Phenome-Wide Association Study to Discover Pleiotropic Effects of PCSK9, APOB and LDLR. NPG Genom Med. 2019 Feb; 4(1):3.

11.           I.J. Kullo, J. Olson, X. Fan, et al. The Return of Actionable Variants Empiric (RAVE) Study, a Mayo Clinic Genomic Medicine Implementation Study: Design and Initial Results. Mayo Clin Proc. 2018 Nov; 93(11):1600-10.

12.           I.J. Kullo, X. Fan, K. Ding. Genetic Risk, Lifestyle, and Coronary Artery Disease. N Engl J Med. 2017 Mar; 376(12):1192-3.

13.           X. Fan, L. Kurgan. Comprehensive overview and assessment of computational prediction of microRNA targets in animals. Brief Bioinform. 2015 Sept; 16(5):780-94.

14.           L.A. Ferreira, X. Fan, et al. Analyzing the effects of protecting osmolytes on solute-water interactions by solvatochromic comparison method: II. Globular proteins. RSC Adv. 2015 July; 5:59780-91.

15.           Z. Peng, J. Yan, X. Fan, et al. Exceptionally abundant exceptions: Comprehensive characterization of intrinsic disorder in all domains of life. Cell Mol Life Sci. 2015 Jan; 72(1):137-51.

16.           J. Groenendyk, X. Fan, et al. Genome-wide analysis of thapsigargin-induced microRNAs and their targets in NIH3T3 cells. Genom Data. 2014 Dec; 2:325-7.

17.           M.J. Mizianty, X. Fan, et al. Covering complete proteomes with X-ray structures: A current snapshot. Acta Crystallogr D Biol Crystallogr. 2014 Nov; 70(11):2781-93.

18.           J. Groenendyk, Z. Peng, E. Dudek, X. Fan, et al. Interplay between the oxidoreductase PDIA6 and microRNA-322 controls the response to disrupted endoplasmic reticulum calcium homeostasis. Sci Signal. 2014 Jun; 7(329):ra54.

19.           X. Fan, B. Xue, et al. The intrinsic disorder status of the human hepatitis C virus proteome. Mol Biosyst. 2014 Jun; 10(6):1345-63.

20.           L.A. Ferreira, X. Fan, et al. Structural features important for differences in protein partitioning in aqueous dextran-polyethylene glycol two-phase systems of different ionic compositions. Biochim Biophys Acta. 2014 Mar; 1844(3):694-704.

21.           X. Fan, L. Kurgan. Accurate prediction of disorder in protein chains with a comprehensive and empirically designed consensus. J Biomol Struct Dyn. 2014; 32(3):448-64.

 

Published conference abstract:

1.              X. Fan, et al. Modeling the ACMG/AMP Guidelines as a Quantitative Approach. 2019 American Society of Human Genetics (ASHG) Meeting.

2.              M. Jose, X. Fan, et al. Differences in Prevalence of Phenotypically and Genotypically Ascertained Familial Hypercholesterolemia in a cohort with Hypercholesterolemia. 2018 American College of Cardiology (ACC) Scientific Sessions, Volume 71, Issue 11 Supplement, March 2018.

3.              H. Sandhyavenu, X. Fan, et al. Association of Rare Functional Variants in Triglyceride Related Genes with Circulating Triglyceride Levels. 2018 American College of Cardiology (ACC) Scientific Sessions, Volume 71, Issue 11 Supplement, March 2018

4.              B. Satterfield, X. Fan, et al. A Phenome-Wide Association Study to Discover Pleiotropic Effects of LDLR and APOB. American College of Medical Genetics and Genomics (ACMG) meeting 2018.

5.              X. Fan, M.S. Safarova, et al. Targeted sequencing of 109 genes in the eMERGEseq panel uncovers novel variants and genes influencing triglyceride levels. 2017 American Society of Human Genetics (ASHG) Meeting.

6.              X. Fan, M.S. Safarova, et al. Phenotype-assisted Interpretation of Variants in Genes Causal for Familial Hypercholesterolemia. Circulation. 2017;136:A14644.

7.              M.S. Safarova, X. Fan, et al. A phenome-wide Association Study to Assess Pleiotropic Effects of LPA. Circulation. 2017;136:A20688.

8.              Z. Ye, X. Fan, et al. Risk factors associated with early-versus late-accelerated growth patterns in patients with abdominal aortic aneurysm. Journal of the American College of Cardiology. 2017 Mar 21; 69: (11)2024.

9.              X. Fan, L. Kurgan. Accurate high-throughput prediction of non-canonical microRNA targets. 2015 RiboWest.

10.           Y. Zhang, X. Fan, et al. Linear spectral unmixing with generalized constraint for hyperspectral imagery. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4106-4109.

11.           X. Fan, Y. Zhang, et al. A robust spectral target recognition method for hyperspectral data based on combined spectral signatures. 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4328-4331.