Analysis of co-aggregation of cancer based on registry data

Abigail G. Matthews; Rebecca A. Betensky; Hoda Anton-Culver; Deborah Bowen; Constance Griffin; Claudine Isaacs; Carol Kasten; Geraldine Mineau; Susan Nayfield; Joellen Schildkraut; Louise Strong; Barbara Weber; Dianne M. Finkelstein

doi:10.1159/000091485

Analysis of co-aggregation of cancer based on registry data

Abigail G. Matthews, Rebecca A. Betensky, Hoda Anton-Culver, Deborah Bowen, Constance Griffin, Claudine Isaacs, Carol Kasten, Geraldine Mineau, Susan Nayfield, Joellen Schildkraut, Louise Strong, Barbara Weber, Dianne M. Finkelstein

Genetics

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Objective: An exploratory analysis of co-aggregation of cancers using registry-based data. Methods: We utilized sibships from over 18,000 families who had been recruited to the NCI-sponsored multi-institutional Cancer Genetics Network. The analysis assesses co-aggregation at the individual and family level and adjusts for ascertainment. Results: We found statistically significant familial co-aggregation of lung cancer with pancreatic (adjusted p < 0.001), prostate (adjusted p < 0.003), and colorectal cancers (adjusted p = 0.004). In addition, we found significant familial co-aggregation of pancreatic and colorectal cancers (adjusted p = 0.018), and co-aggregation of hematopoietic and (non-ovarian) gynecologic cancers (adjusted p = 0.01). Conclusion: This analysis identified familial aggregation of cancers for which a genetic component has yet to be established.

Original language	English (US)
Pages (from-to)	87-92
Number of pages	6
Journal	Community Genetics
Volume	9
Issue number	2
DOIs	https://doi.org/10.1159/000091485
State	Published - Apr 2006

Keywords

Association
Cancer Genetics Network
Familial aggregation
Family study

ASJC Scopus subject areas

Genetics(clinical)

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10.1159/000091485

Cite this

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title = "Analysis of co-aggregation of cancer based on registry data",

abstract = "Objective: An exploratory analysis of co-aggregation of cancers using registry-based data. Methods: We utilized sibships from over 18,000 families who had been recruited to the NCI-sponsored multi-institutional Cancer Genetics Network. The analysis assesses co-aggregation at the individual and family level and adjusts for ascertainment. Results: We found statistically significant familial co-aggregation of lung cancer with pancreatic (adjusted p < 0.001), prostate (adjusted p < 0.003), and colorectal cancers (adjusted p = 0.004). In addition, we found significant familial co-aggregation of pancreatic and colorectal cancers (adjusted p = 0.018), and co-aggregation of hematopoietic and (non-ovarian) gynecologic cancers (adjusted p = 0.01). Conclusion: This analysis identified familial aggregation of cancers for which a genetic component has yet to be established.",

keywords = "Association, Cancer Genetics Network, Familial aggregation, Family study",

author = "Matthews, {Abigail G.} and Betensky, {Rebecca A.} and Hoda Anton-Culver and Deborah Bowen and Constance Griffin and Claudine Isaacs and Carol Kasten and Geraldine Mineau and Susan Nayfield and Joellen Schildkraut and Louise Strong and Barbara Weber and Finkelstein, {Dianne M.}",

year = "2006",

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doi = "10.1159/000091485",

language = "English (US)",

volume = "9",

pages = "87--92",

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T1 - Analysis of co-aggregation of cancer based on registry data

AU - Matthews, Abigail G.

AU - Betensky, Rebecca A.

AU - Anton-Culver, Hoda

AU - Bowen, Deborah

AU - Griffin, Constance

AU - Isaacs, Claudine

AU - Kasten, Carol

AU - Mineau, Geraldine

AU - Nayfield, Susan

AU - Schildkraut, Joellen

AU - Strong, Louise

AU - Weber, Barbara

AU - Finkelstein, Dianne M.

PY - 2006/4

Y1 - 2006/4

N2 - Objective: An exploratory analysis of co-aggregation of cancers using registry-based data. Methods: We utilized sibships from over 18,000 families who had been recruited to the NCI-sponsored multi-institutional Cancer Genetics Network. The analysis assesses co-aggregation at the individual and family level and adjusts for ascertainment. Results: We found statistically significant familial co-aggregation of lung cancer with pancreatic (adjusted p < 0.001), prostate (adjusted p < 0.003), and colorectal cancers (adjusted p = 0.004). In addition, we found significant familial co-aggregation of pancreatic and colorectal cancers (adjusted p = 0.018), and co-aggregation of hematopoietic and (non-ovarian) gynecologic cancers (adjusted p = 0.01). Conclusion: This analysis identified familial aggregation of cancers for which a genetic component has yet to be established.

AB - Objective: An exploratory analysis of co-aggregation of cancers using registry-based data. Methods: We utilized sibships from over 18,000 families who had been recruited to the NCI-sponsored multi-institutional Cancer Genetics Network. The analysis assesses co-aggregation at the individual and family level and adjusts for ascertainment. Results: We found statistically significant familial co-aggregation of lung cancer with pancreatic (adjusted p < 0.001), prostate (adjusted p < 0.003), and colorectal cancers (adjusted p = 0.004). In addition, we found significant familial co-aggregation of pancreatic and colorectal cancers (adjusted p = 0.018), and co-aggregation of hematopoietic and (non-ovarian) gynecologic cancers (adjusted p = 0.01). Conclusion: This analysis identified familial aggregation of cancers for which a genetic component has yet to be established.

KW - Association

KW - Cancer Genetics Network

KW - Familial aggregation

KW - Family study

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Analysis of co-aggregation of cancer based on registry data

Abstract

Keywords

ASJC Scopus subject areas

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