Main Source of Drinking Water and Familial Aggregation of Kashin-Beck Disease: A Population Based on Case-Control Family Study

Abstract Background Although responsible for significant mortality and morbidity, our knowledge of modifiable causes of multiple myeloma (MM) remains limited. This analysis of an Australian population-based case-control family study investigated associations between smoking and alcohol consumption and MM risk. Methods Incident cases (n = 789) of MM were recruited mainly via cancer registries in Victoria and NSW. The controls included in the analysis (n = 1,113) were either family members of cases (n = 696) or recruited as part of a similarly designed case-control family study of renal cancer (n = 417). Unconditional multivariable logistic regression was used to estimate ORs, 95% CIs and p-values for associations between alcohol- and tobacco-related exposures and risk of MM. Results Heavy drinkers of alcohol had lower MM risk compared with non-drinkers (OR = 0.68, 95% CI = 0.50 – 0.93), and there was an inverse dose-response relationship for alcohol intake (OR per 10g ethanol per day = 0.92, 95% CI: 0.86 – 0.99); there was no evidence of interaction with sex (p = 0.27). There was no evidence of association between smoking-related exposures and MM risk. Conclusions These findings extend the knowledge of MM risk factor epidemiology. Further research into the causality of the association of alcohol with MM risk and potential underlying mechanisms is recommended. Key messages We found alcohol consumption to be inversely associated with risk of multiple myeloma.

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Population-based, Case-Control-Family Design to Investigate Genetic and Environmental Influences on Melanoma Risk: Australian Melanoma Family Study

American Journal of Epidemiology ◽

10.1093/aje/kwp307 ◽

2009 ◽

Vol 170 (12) ◽

pp. 1541-1554 ◽

Cited By ~ 37

Author(s):

A. E. Cust ◽

H. Schmid ◽

J. A. Maskiell ◽

J. Jetann ◽

M. Ferguson ◽

...

Keyword(s):

Family Study ◽

Environmental Influences ◽

Population Based ◽

Case Control ◽

Melanoma Risk ◽

Control Family

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Design and Analysis Issues in a Population-Based, Case-Control-Family Study of the Genetic Epidemiology of Breast Cancer and the Co-operative Family Registry for Breast Cancer Studies (CFRBCS)

JNCI Monographs ◽

10.1093/oxfordjournals.jncimonographs.a024232 ◽

1999 ◽

Vol 1999 (26) ◽

pp. 95-100 ◽

Cited By ~ 55

Author(s):

J. L. Hopper ◽

G. Chenevix-Trench ◽

D. J. Jolley ◽

G. S. Dite ◽

M. A. Jenkins ◽

...

Keyword(s):

Breast Cancer ◽

Genetic Epidemiology ◽

Family Study ◽

Population Based ◽

Case Control ◽

Cancer Studies ◽

Control Family

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Familial aggregation of REM sleep behavior disorder and neurodegenerative biomarkers: a case-control family study

Sleep Medicine ◽

10.1016/j.sleep.2017.11.579 ◽

2017 ◽

Vol 40 ◽

pp. e198

Author(s):

Y. Liu ◽

J. Zhang ◽

S.P. Lam ◽

S.X. Li ◽

Y.K. Wing

Keyword(s):

Rem Sleep ◽

Family Study ◽

Familial Aggregation ◽

Rem Sleep Behavior Disorder ◽

Behavior Disorder ◽

Case Control ◽

Sleep Behavior ◽

Control Family

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Familial Correlations of Onset Age of Hepatocellular Carcinoma: A Population-Based Case-Control Family Study

PLoS ONE ◽

10.1371/journal.pone.0108391 ◽

2014 ◽

Vol 9 (9) ◽

pp. e108391 ◽

Cited By ~ 3

Author(s):

Li Liu ◽

Lixia Li ◽

Shudong Zhou ◽

Qingwu Jiang ◽

Sidong Chen ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Family Study ◽

Population Based ◽

Case Control ◽

Onset Age ◽

Control Family

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Population-Based Estimates of the Age-Specific Cumulative Risk of Breast Cancer for Pathogenic Variants in CHEK2: Findings from the Australian Breast Cancer Family Registry

Cancers ◽

10.3390/cancers13061378 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1378

Author(s):

Tú Nguyen-Dumont ◽

James G. Dowty ◽

Jason A. Steen ◽

Anne-Laure Renault ◽

Fleur Hammet ◽

...

Keyword(s):

Breast Cancer ◽

Cumulative Risk ◽

Population Based ◽

Case Control ◽

Cancer Information ◽

Case Control Studies ◽

Breast Cancer Family ◽

Pathogenic Variants ◽

Increased Risk ◽

Control Family

Case-control studies of breast cancer have consistently shown that pathogenic variants in CHEK2 are associated with about a 3-fold increased risk of breast cancer. Information about the recurrent protein-truncating variant CHEK2 c.1100delC dominates this estimate. There have been no formal estimates of age-specific cumulative risk of breast cancer for all CHEK2 pathogenic (including likely pathogenic) variants combined. We conducted a population-based case-control-family study of pathogenic CHEK2 variants (26 families, 1071 relatives) and estimated the age-specific cumulative risk of breast cancer using segregation analysis. The estimated hazard ratio for carriers of pathogenic CHEK2 variants (combined) was 4.9 (95% CI 2.5–9.5) relative to non-carriers. The HR for carriers of the CHEK2 c.1100delC variant was estimated to be 3.5 (95% CI 1.02–11.6) and the HR for carriers of all other CHEK2 variants combined was estimated to be 5.7 (95% CI 2.5–12.9). The age-specific cumulative risk of breast cancer was estimated to be 18% (95% CI 11–30%) and 33% (95% CI 21–48%) to age 60 and 80 years, respectively. These findings provide important information for the clinical management of breast cancer risk for women carrying pathogenic variants in CHEK2.

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