Journal article

Hi-Plex targeted sequencing is effective using DNA derived from archival dried blood spots

T Nguyen-Dumont, M Mahmoodi, F Hammet, T Tran, H Tsimiklis, GG Giles, JL Hopper, MC Southey, DJ Park

Analytical Biochemistry | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2015

Grants

Awarded by National Cancer Institute (NCI)


Awarded by Cancer Australia


Awarded by Australian NHMRC


Awarded by National Institutes of Health


Awarded by Victorian Life Sciences Computation Initiative (VLSCI)


Funding Acknowledgements

T.N-D. is a Susan G. Komen for the Cure Postdoctoral Fellow. M.C.S. is a National Health and Medical Research Council (NHMRC) Senior Research Fellow. The Australian Breast Cancer Family Registry (ABCFR, 1992-1995) was supported by the Australian NHMRC, the New South Wales Cancer Council, and the Victorian Health Promotion Foundation (Australia). We thank Margaret McCredie for a key role in the establishment and leadership of the ABCFR in Sydney, Australia, and the families who donated their time, information, and biospecimens. This work was supported by Grant UM1 CA164920 from the National Cancer Institute (NCI). The content of this article does not necessarily reflect the views or policies of the NCI or any of the collaborating centers in the Breast Cancer Family Registry (BCFR), nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. government or the BCFR. We thank Heather Thorne, Eveline Niedermayr, all of the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab) research nurses and staff, the heads and staff of the Family Cancer Clinics, and the Clinical Follow-Up Study (funded 2001-2009 by NHMRC and currently by the National Breast Cancer Foundation [NBCF] and Cancer Australia, no. 628333) for their contributions to this resource and the many families who contribute to kConFab. kConFab is supported by grants from the NBCF; the NHMRC; the Queensland Cancer Fund; the Cancer Councils of New South Wales, Victoria, Tasmania, and South Australia; and the Cancer Foundation of Western Australia. This work was supported by the Australian NHMRC (APP1025879 and APP1029974), the National Institutes of Health (RO1CA155767), and a Victorian Life Sciences Computation Initiative (VLSCI, VR0182) on its Peak Computing Facility, an initiative of the Victorian government.