CLINSEQ: A Large-Scale Medical Sequencing Clinical Research Pilot Study

CLINSEQ: A Large-Scale Medical Sequencing Clinical Research Pilot Study

ClinSeq

Study News and Updates

CLINSEQ Newsletters

All newsletters are in PDF fileformat.

CLINSEQ in the News

NIH researchers pilot predictive medicine by studying healthy people's DNA New
2015: A new study by National Institutes of Health researchers has turned traditional genomics research on its head.

Trans-NIH Study Explores Medical Role for Genome Sequencing
2007: Patients with Cardiovascular Disease to Participate in Genetic Sequencing Study

CLINSEQ Publications
  • De Castro M, Johnston J, Biesecker LG. Determining the prevalence of McArdle disease from gene frequency by analysis of next-generation sequencing data. Genet Med, 2015. [In Press]
  • Ferrer RA, Taber JM, Klein WM, Harris PR, Lewis KL, Biesecker LG. The role of current affect, anticipated affect and spontaneous self-affirmation in decisions to receive self-threatening genetic risk information. Cogn Emot, 2014. [In Press]
  • Wassif CA, Cross JL, Iben J, Sanchez-Pulido L, Cougnoux A, Platt FM, et al. High incidence of unrecognized visceral/neurological late-onset Niemann-Pick disease, type C1, predicted by analysis of massively parallel sequencing data sets. Gene Med, 2015. [In Press]
  • Amendola LM, Dorschner MO, Robertson PD, Salama JS, Hart R, Shirts BH, et al. Actionable exomic incidental findings in 6503 participants: challenges of variant classification. Genome Res, 2015. [In Press]
  • Lewis KL, Han PK, Hooker GW, Klein WM, Biesecker LG, Biesecker BB. Characterizing participants in the ClinSeq genome sequencing cohort as early adopters of a new health technology. PLoS One, 10(7):e0132690.2015. [PubMed]
  • Johnston JJ, Lewis KL, Ng D, Singh LN, Wynter J, Brewer C, et al. Individualized iterative phenotyping for genome-wide analysis of loss-of-function mutations. Am J Hum Genet, 96(6):913-25.2015. [PubMed]
  • Taber JM, Klein WM, Ferrer RA, Lewis KL, Harris PR, Shepperd JA, et al. Information avoidance tendencies, threat management resources, and interest in genetic sequencing feedback. Ann Behav Med, 49(4):616-21.2015. [PubMed]
  • Taber JM, Klein WM, Ferrer RA, Lewis KL, Biesecker LG, Biesecker BB. Dispositional optimism and perceived risk interact to predict intentions to learn genome sequencing results. Health Psychol, 34(7):718-28.2015. [PubMed]
  • Feero WG, Facio FM, Glogowski EA, Hampel HL, Stopfer JE, Eidem H, et al. Preliminary validation of a consumer-oriented colorectal cancer risk assessment tool compatible with the US Surgeon General's My Family Health Portrait. Genet Med, 2014. [ePub Ahead of Print]
  • Sen SK, Boelte KC, Barb JJ, Joehanes R, Zhao X, Cheng Q, et al. Integrative DNA, RNA and protein evidence connects TREML4 to coronary artery calcification. Am J Hum Genet, 95(1):66-76. 2014. [PubMed]
  • Biesecker BB, Klein W, Lewis KL, Fisher TC, Wright MF, Biesecker LG, et al. How do research participants perceive "uncertainty" in genome sequencing? Genet Med, 16(12):977-80. 2014. [PubMed]
  • Sen SK, Barb JJ, Cherukuri PF, Accame DS, Elkahloun AG, Singh LN, et al. Identification of candidate genes involved in coronary artery calcification by transcriptome sequencing of cell lines. BMC Genomics, 15:198. 2014. [PubMed]
  • Wright MF, Lewis KL, Fisher TC, Hooker GW, Emanuel TE, Biesecker LG, et al. Prefernces for result delivery from exome sequencing/genome sequencing. Genet Med, 16(6):442-7. 2014. [PubMed]

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Last Updated: August 11, 2015