Literature DB >> 1742447

Modelling the influence of risk factors on familial aggregation of disease.

O O Aalen1.   

Abstract

One often observes a familial resemblance of risk factors of disease. The following question then arises: How much familial aggregation of cases of disease would be expected because of this resemblance? This problem is attacked through a particular model where the risk is supposed to depend exponentially on the risk factors. Only pairs of relatives (father/son) are considered. The calculations are performed both with normally distributed risk factors and with particular skewed distributions. An application to coronary heart disease is given.

Entities:  

Mesh:

Year:  1991        PMID: 1742447

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  13 in total

1.  Odds per adjusted standard deviation: comparing strengths of associations for risk factors measured on different scales and across diseases and populations.

Authors:  John L Hopper
Journal:  Am J Epidemiol       Date:  2015-10-31       Impact factor: 4.897

2.  Genetic effects on variation in red-blood-cell folate in adults: implications for the familial aggregation of neural tube defects.

Authors:  L E Mitchell; D L Duffy; P Duffy; G Bellingham; N G Martin
Journal:  Am J Hum Genet       Date:  1997-02       Impact factor: 11.025

3.  Disease-specific prospective family study cohorts enriched for familial risk.

Authors:  John L Hopper
Journal:  Epidemiol Perspect Innov       Date:  2011-02-27

4.  Analysis of 153 115 patients with hematological malignancies refines the spectrum of familial risk.

Authors:  Amit Sud; Subhayan Chattopadhyay; Hauke Thomsen; Kristina Sundquist; Jan Sundquist; Richard S Houlston; Kari Hemminki
Journal:  Blood       Date:  2019-08-08       Impact factor: 22.113

5.  Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk.

Authors:  Shuai Li; Tuong L Nguyen; Tu Nguyen-Dumont; James G Dowty; Gillian S Dite; Zhoufeng Ye; Ho N Trinh; Christopher F Evans; Maxine Tan; Joohon Sung; Mark A Jenkins; Graham G Giles; John L Hopper; Melissa C Southey
Journal:  Cancers (Basel)       Date:  2022-06-02       Impact factor: 6.575

Review 6.  More breast cancer genes?

Authors:  J L Hopper
Journal:  Breast Cancer Res       Date:  2001-03-29       Impact factor: 6.466

Review 7.  Understanding variation in disease risk: the elusive concept of frailty.

Authors:  Odd O Aalen; Morten Valberg; Tom Grotmol; Steinar Tretli
Journal:  Int J Epidemiol       Date:  2014-12-12       Impact factor: 7.196

8.  Familial aggregation of albuminuria and arterial hypertension in an Aboriginal Australian community and the contribution of variants in ACE and TP53.

Authors:  David L Duffy; Stephen P McDonald; Beverley Hayhurst; Sianna Panagiotopoulos; Trudy J Smith; Xing L Wang; David E Wilcken; Natalia L Duarte; John Mathews; Wendy E Hoy
Journal:  BMC Nephrol       Date:  2016-11-21       Impact factor: 2.388

9.  The surprising implications of familial association in disease risk.

Authors:  Morten Valberg; Mats Julius Stensrud; Odd O Aalen
Journal:  BMC Public Health       Date:  2018-01-15       Impact factor: 3.295

Review 10.  Are the so-called low penetrance breast cancer genes, ATM, BRIP1, PALB2 and CHEK2, high risk for women with strong family histories?

Authors:  Graham B Byrnes; Melissa C Southey; John L Hopper
Journal:  Breast Cancer Res       Date:  2008-06-05       Impact factor: 6.466

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