AustralieFrV1, PascalFrancis, Corpus, bibRecord, 002794

Common Genetic Variants Associated with Breast Cancer and Mammographic Density Measures That Predict Disease

Identifieur interne : 002794 ( PascalFrancis/Corpus ); précédent : 002793; suivant : 002795

Common Genetic Variants Associated with Breast Cancer and Mammographic Density Measures That Predict Disease

Auteurs : Fabrice Odefrey ; Jennifer Stone ; Lyle C. Gurrin ; Graham B. Byrnes ; Carmel Apicella ; Gillian S. Dite ; Jennifer N. Cawson ; Graham G. Giles ; Susan A. Treloar ; Dallas R. English ; John L. Hopper ; Melissa C. Southey

Source :

Cancer research : (Baltimore) [ 0008-5472 ] ; 2010.

RBID : Pascal:10-0157550

Descripteurs français

Pascal (Inist)
- Variant génétique, Cancer du sein, Mammographie, Densité, Facteur prédictif, Maladie.

English descriptors

KwdEn :
- Breast cancer, Density, Disease, Genetic variant, Mammography, Predictive factor.

Abstract

Mammographic density for age and body mass index (BMI) is a heritable risk factor for breast cancer. We aimed to determine if recently identified common variants associated with small gradients in breast cancer risk are associated with mammographic density. We genotyped 497 monozygotic and 330 dizygotic twin pairs and 634 of their sisters from 903 families for 12 independent variants. Mammographic dense area, percent dense area, and nondense area were measured by three observers using a computer-thresholding technique. Associations with mammographic density measures adjusted for age, BMI, and other determinants were estimated (a) cross-sectionally using a multivariate normal model for pedigree analysis (P_x), (b) between sibships, and (c) within sibships using orthogonal transformations of outcomes and exposures. A combined test of association (P_c) was derived using the independent estimates from b and c. We tested if the distributions of P values across variants differed from the uniform distribution (P_u). For dense area and percent dense area, the distributions of P_c values were not uniform (both P_u <0.007). Consistent with their breast cancer associations, rs3817198 (LSP1) and rs13281615 (8q) were associated with dense area and percent dense area (all P_x and P_c <0.05), and rs889312 (MAP3K1), rs2107425 (H19), and rs17468277 (CASP8) were marginally associated with dense area (some P_x or P_c <0.05). All associations were independent of menopausal status. At least two common breast cancer susceptibility variants are associated with mammographic density measures that predict breast cancer. These findings could help elucidate how those variants and mammographic density measures are associated with breast cancer susceptibility.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 10-0157550 INIST
ET :	Common Genetic Variants Associated with Breast Cancer and Mammographic Density Measures That Predict Disease
AU :	ODEFREY (Fabrice); STONE (Jennifer); GURRIN (Lyle C.); BYRNES (Graham B.); APICELLA (Carmel); DITE (Gillian S.); CAWSON (Jennifer N.); GILES (Graham G.); TRELOAR (Susan A.); ENGLISH (Dallas R.); HOPPER (John L.); SOUTHEY (Melissa C.)
AF :	Department of Pathology, University of Melbourne/Melbourne/Australie (1 aut., 12 aut.); Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, University of Melbourne/Melbourne/Australie (2 aut., 3 aut., 4 aut., 5 aut., 6 aut., 10 aut., 11 aut.); Cancer Council Victoria/Melbourne/Australie (8 aut.); International Agency for Research on Cancer/Lyon/France (4 aut.); St. Vincent's Hospital, University of Melbourne, Fitzroy/Victoria/Australie (7 aut.); Centre for Military and Veterans' Health, University of Queensland/Brisbane/Australie (9 aut.)
DT :	Publication en série; Niveau analytique
SO :	Cancer research : (Baltimore); ISSN 0008-5472; Coden CNREA8; Etats-Unis; Da. 2010; Vol. 70; No. 4; Pp. 1449-1458; Bibl. 18 ref.
LA :	Anglais
EA :	Mammographic density for age and body mass index (BMI) is a heritable risk factor for breast cancer. We aimed to determine if recently identified common variants associated with small gradients in breast cancer risk are associated with mammographic density. We genotyped 497 monozygotic and 330 dizygotic twin pairs and 634 of their sisters from 903 families for 12 independent variants. Mammographic dense area, percent dense area, and nondense area were measured by three observers using a computer-thresholding technique. Associations with mammographic density measures adjusted for age, BMI, and other determinants were estimated (a) cross-sectionally using a multivariate normal model for pedigree analysis (P_x), (b) between sibships, and (c) within sibships using orthogonal transformations of outcomes and exposures. A combined test of association (P_c) was derived using the independent estimates from b and c. We tested if the distributions of P values across variants differed from the uniform distribution (P_u). For dense area and percent dense area, the distributions of P_c values were not uniform (both P_u <0.007). Consistent with their breast cancer associations, rs3817198 (LSP1) and rs13281615 (8q) were associated with dense area and percent dense area (all P_x and P_c <0.05), and rs889312 (MAP3K1), rs2107425 (H19), and rs17468277 (CASP8) were marginally associated with dense area (some P_x or P_c <0.05). All associations were independent of menopausal status. At least two common breast cancer susceptibility variants are associated with mammographic density measures that predict breast cancer. These findings could help elucidate how those variants and mammographic density measures are associated with breast cancer susceptibility.
CC :	002B02R; 002B04; 002B20E02
FD :	Variant génétique; Cancer du sein; Mammographie; Densité; Facteur prédictif; Maladie
FG :	Tumeur maligne; Cancer; Pathologie de la glande mammaire; Pathologie du sein; Radiodiagnostic
ED :	Genetic variant; Breast cancer; Mammography; Density; Predictive factor; Disease
EG :	Malignant tumor; Cancer; Mammary gland diseases; Breast disease; Radiodiagnosis
SD :	Variante genética; Cáncer del pecho; Mastografía; Densidad; Factor predictivo; Enfermedad
LO :	INIST-5088.354000189349440190
ID :	10-0157550

Links to Exploration step

Pascal:10-0157550

Le document en format XML

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<author><name sortKey="Dite, Gillian S" sort="Dite, Gillian S" uniqKey="Dite G" first="Gillian S." last="Dite">Gillian S. Dite</name>
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<author><name sortKey="Cawson, Jennifer N" sort="Cawson, Jennifer N" uniqKey="Cawson J" first="Jennifer N." last="Cawson">Jennifer N. Cawson</name>
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<author><name sortKey="Giles, Graham G" sort="Giles, Graham G" uniqKey="Giles G" first="Graham G." last="Giles">Graham G. Giles</name>
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<author><name sortKey="Treloar, Susan A" sort="Treloar, Susan A" uniqKey="Treloar S" first="Susan A." last="Treloar">Susan A. Treloar</name>
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<author><name sortKey="English, Dallas R" sort="English, Dallas R" uniqKey="English D" first="Dallas R." last="English">Dallas R. English</name>
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<s2>Melbourne</s2>
<s3>AUS</s3>
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<author><name sortKey="Hopper, John L" sort="Hopper, John L" uniqKey="Hopper J" first="John L." last="Hopper">John L. Hopper</name>
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<s3>AUS</s3>
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<author><name sortKey="Southey, Melissa C" sort="Southey, Melissa C" uniqKey="Southey M" first="Melissa C." last="Southey">Melissa C. Southey</name>
<affiliation><inist:fA14 i1="01"><s1>Department of Pathology, University of Melbourne</s1>
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<series><title level="j" type="main">Cancer research : (Baltimore)</title>
<title level="j" type="abbreviated">Cancer res. : (Baltimore)</title>
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<front><div type="abstract" xml:lang="en">Mammographic density for age and body mass index (BMI) is a heritable risk factor for breast cancer. We aimed to determine if recently identified common variants associated with small gradients in breast cancer risk are associated with mammographic density. We genotyped 497 monozygotic and 330 dizygotic twin pairs and 634 of their sisters from 903 families for 12 independent variants. Mammographic dense area, percent dense area, and nondense area were measured by three observers using a computer-thresholding technique. Associations with mammographic density measures adjusted for age, BMI, and other determinants were estimated (a) cross-sectionally using a multivariate normal model for pedigree analysis (P<sub>x</sub>
), (b) between sibships, and (c) within sibships using orthogonal transformations of outcomes and exposures. A combined test of association (P<sub>c</sub>
) was derived using the independent estimates from b and c. We tested if the distributions of P values across variants differed from the uniform distribution (P<sub>u</sub>
). For dense area and percent dense area, the distributions of P<sub>c</sub>
 values were not uniform (both P<sub>u</sub>
 <0.007). Consistent with their breast cancer associations, rs3817198 (LSP1) and rs13281615 (8q) were associated with dense area and percent dense area (all P<sub>x</sub>
 and P<sub>c</sub>
 <0.05), and rs889312 (MAP3K1), rs2107425 (H19), and rs17468277 (CASP8) were marginally associated with dense area (some P<sub>x</sub>
 or P<sub>c</sub>
 <0.05). All associations were independent of menopausal status. At least two common breast cancer susceptibility variants are associated with mammographic density measures that predict breast cancer. These findings could help elucidate how those variants and mammographic density measures are associated with breast cancer susceptibility.</div>
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<server><NO>PASCAL 10-0157550 INIST</NO>
<ET>Common Genetic Variants Associated with Breast Cancer and Mammographic Density Measures That Predict Disease</ET>
<AU>ODEFREY (Fabrice); STONE (Jennifer); GURRIN (Lyle C.); BYRNES (Graham B.); APICELLA (Carmel); DITE (Gillian S.); CAWSON (Jennifer N.); GILES (Graham G.); TRELOAR (Susan A.); ENGLISH (Dallas R.); HOPPER (John L.); SOUTHEY (Melissa C.)</AU>
<AF>Department of Pathology, University of Melbourne/Melbourne/Australie (1 aut., 12 aut.); Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, University of Melbourne/Melbourne/Australie (2 aut., 3 aut., 4 aut., 5 aut., 6 aut., 10 aut., 11 aut.); Cancer Council Victoria/Melbourne/Australie (8 aut.); International Agency for Research on Cancer/Lyon/France (4 aut.); St. Vincent's Hospital, University of Melbourne, Fitzroy/Victoria/Australie (7 aut.); Centre for Military and Veterans' Health, University of Queensland/Brisbane/Australie (9 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Cancer research : (Baltimore); ISSN 0008-5472; Coden CNREA8; Etats-Unis; Da. 2010; Vol. 70; No. 4; Pp. 1449-1458; Bibl. 18 ref.</SO>
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<EA>Mammographic density for age and body mass index (BMI) is a heritable risk factor for breast cancer. We aimed to determine if recently identified common variants associated with small gradients in breast cancer risk are associated with mammographic density. We genotyped 497 monozygotic and 330 dizygotic twin pairs and 634 of their sisters from 903 families for 12 independent variants. Mammographic dense area, percent dense area, and nondense area were measured by three observers using a computer-thresholding technique. Associations with mammographic density measures adjusted for age, BMI, and other determinants were estimated (a) cross-sectionally using a multivariate normal model for pedigree analysis (P<sub>x</sub>
), (b) between sibships, and (c) within sibships using orthogonal transformations of outcomes and exposures. A combined test of association (P<sub>c</sub>
) was derived using the independent estimates from b and c. We tested if the distributions of P values across variants differed from the uniform distribution (P<sub>u</sub>
). For dense area and percent dense area, the distributions of P<sub>c</sub>
 values were not uniform (both P<sub>u</sub>
 <0.007). Consistent with their breast cancer associations, rs3817198 (LSP1) and rs13281615 (8q) were associated with dense area and percent dense area (all P<sub>x</sub>
 and P<sub>c</sub>
 <0.05), and rs889312 (MAP3K1), rs2107425 (H19), and rs17468277 (CASP8) were marginally associated with dense area (some P<sub>x</sub>
 or P<sub>c</sub>
 <0.05). All associations were independent of menopausal status. At least two common breast cancer susceptibility variants are associated with mammographic density measures that predict breast cancer. These findings could help elucidate how those variants and mammographic density measures are associated with breast cancer susceptibility.</EA>
<CC>002B02R; 002B04; 002B20E02</CC>
<FD>Variant génétique; Cancer du sein; Mammographie; Densité; Facteur prédictif; Maladie</FD>
<FG>Tumeur maligne; Cancer; Pathologie de la glande mammaire; Pathologie du sein; Radiodiagnostic</FG>
<ED>Genetic variant; Breast cancer; Mammography; Density; Predictive factor; Disease</ED>
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<SD>Variante genética; Cáncer del pecho; Mastografía; Densidad; Factor predictivo; Enfermedad</SD>
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Common Genetic Variants Associated with Breast Cancer and Mammographic Density Measures That Predict Disease

Common Genetic Variants Associated with Breast Cancer and Mammographic Density Measures That Predict Disease

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