Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics.

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Bibliographic Details
Title: Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics.
Authors: Feng YA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Cho K; Geriatric Research Education and Clinical Center and Massachusetts Veterans Epidemiology Research and Information Center, Boston VA Medical Center, Boston, MA, USA.; Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Lindstrom S; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Department of Epidemiology, University of Washington, Seattle, WA, USA., Kraft P; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Cormack J; Geriatric Research Education and Clinical Center and Massachusetts Veterans Epidemiology Research and Information Center, Boston VA Medical Center, Boston, MA, USA., Liang L; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. lliang@hsph.harvard.edu.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. lliang@hsph.harvard.edu., Driver JA; Geriatric Research Education and Clinical Center and Massachusetts Veterans Epidemiology Research and Information Center, Boston VA Medical Center, Boston, MA, USA.; Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Corporate Authors: IGAP Consortium, Colorectal Transdisciplinary Study (CORECT), Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE), Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE), Transdisciplinary Research in Cancer of the Lung (TRICL)
Source: Human genetics [Hum Genet] 2017 Oct; Vol. 136 (10), pp. 1341-1351. Date of Electronic Publication: 2017 Aug 05.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7613873 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1203 (Electronic) Linking ISSN: 03406717 NLM ISO Abbreviation: Hum Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1203
DOI:10.1007/s00439-017-1831-6