Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent

Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmen...

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Veröffentlicht in:PLoS Medicine 2016, Vol.13 (8)
Hauptverfasser: Guo, Yan, Warren Andersen, Shaneda, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Garcia-Closas, Montserrat, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Dunning, Allison, Bojesen, Stig E, Ahsan, Habibul, Aittomäki, Kristiina, Andrulis, Irene L, Arndt, Volker, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brand, Judith, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Casey, Graham, Chenevix-Trench, Georgia, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dumont, Ma, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gammon, Marilie, Giles, Graham G, Guénel, Pascal, Haiman, Christopher A, Hamann, Ute, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jasmine, Farzana, Jenkins, Mark, John, Esther M, Johnson, Nichola, Jones, Michael E, Kabisch, Maria, Kibriya, Muhammad, Knight, Julia A, Koppert, Linetta B, Kristensen, Vessela, Le Marchand, Loic, Lee, Eunjung, Li, Jingmei, Lindblom, Annika, Luben, Robert, Malone, Kathi E, Mannermaa, Arto, Margolin, Sara, Marme, Frederik, McLean, Catriona, Meijers-Heijboer, Hanne, Meindl, Alfons, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Perez, Jose I. A, Perkins, Barbara, Peterlongo, Paolo, Phillips, Kelly-Anne, Pylkäs, Katri, Rudolph, Anja, Sawyer, Elinor J, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Shrubsole, Martha J, Southey, Melissa C, Swerdlow, Anthony J, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Ursin, Giske, Van Der Luijt, Rob B, Verhoef, Senno, Whittemore, Alice S, Winqvist, Robert, Zhao, Shilin, Hall, Per, Simard, Jacques, Kraft, Peter, Pharoah, Paul, Hunter, David, Zheng, Wei
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container_title PLoS Medicine
container_volume 13
creator Guo, Yan
Warren Andersen, Shaneda
Michailidou, Kyriaki
Bolla, Manjeet K
Wang, Qin
Garcia-Closas, Montserrat
Milne, Roger L
Schmidt, Marjanka K
Chang-Claude, Jenny
Dunning, Allison
Bojesen, Stig E
Ahsan, Habibul
Aittomäki, Kristiina
Andrulis, Irene L
Arndt, Volker
Beckmann, Matthias W
Beeghly-Fadiel, Alicia
Benitez, Javier
Bonanni, Bernardo
Børresen-Dale, Anne-Lise
Brand, Judith
Brauch, Hiltrud
Brenner, Hermann
Brüning, Thomas
Burwinkel, Barbara
Casey, Graham
Chenevix-Trench, Georgia
Cox, Angela
Cross, Simon S
Czene, Kamila
Devilee, Peter
Dörk, Thilo
Dumont, Ma
Fasching, Peter A
Figueroa, Jonine
Flesch-Janys, Dieter
Fletcher, Olivia
Flyger, Henrik
Fostira, Florentia
Gammon, Marilie
Giles, Graham G
Guénel, Pascal
Haiman, Christopher A
Hamann, Ute
Hooning, Maartje J
Hopper, John L
Jakubowska, Anna
Jasmine, Farzana
Jenkins, Mark
John, Esther M
Johnson, Nichola
Jones, Michael E
Kabisch, Maria
Kibriya, Muhammad
Knight, Julia A
Koppert, Linetta B
Kristensen, Vessela
Le Marchand, Loic
Lee, Eunjung
Li, Jingmei
Lindblom, Annika
Luben, Robert
Malone, Kathi E
Mannermaa, Arto
Margolin, Sara
Marme, Frederik
McLean, Catriona
Meijers-Heijboer, Hanne
Meindl, Alfons
Neuhausen, Susan L
Nevanlinna, Heli
Neven, Patrick
Perez, Jose I. A
Perkins, Barbara
Peterlongo, Paolo
Phillips, Kelly-Anne
Pylkäs, Katri
Rudolph, Anja
Sawyer, Elinor J
Schmutzler, Rita K
Seynaeve, Caroline
Shah, Mitul
Shrubsole, Martha J
Southey, Melissa C
Swerdlow, Anthony J
Tomlinson, Ian
Torres, Diana
Truong, Thérèse
Ursin, Giske
Van Der Luijt, Rob B
Verhoef, Senno
Whittemore, Alice S
Winqvist, Robert
Zhao, Shilin
Hall, Per
Simard, Jacques
Kraft, Peter
Pharoah, Paul
Hunter, David
Zheng, Wei
description Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. Results In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m.sup.2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 x 10.sup.-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 x 10.sup.-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 x 10.sup.-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 x 10.sup.-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p < 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. Conclusions BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship
doi_str_mv 10.1371/journal.pmed.1002105
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A ; Perkins, Barbara ; Peterlongo, Paolo ; Phillips, Kelly-Anne ; Pylkäs, Katri ; Rudolph, Anja ; Sawyer, Elinor J ; Schmutzler, Rita K ; Seynaeve, Caroline ; Shah, Mitul ; Shrubsole, Martha J ; Southey, Melissa C ; Swerdlow, Anthony J ; Tomlinson, Ian ; Torres, Diana ; Truong, Thérèse ; Ursin, Giske ; Van Der Luijt, Rob B ; Verhoef, Senno ; Whittemore, Alice S ; Winqvist, Robert ; Zhao, Shilin ; Hall, Per ; Simard, Jacques ; Kraft, Peter ; Pharoah, Paul ; Hunter, David ; Zheng, Wei</creator><creatorcontrib>Guo, Yan ; Warren Andersen, Shaneda ; Michailidou, Kyriaki ; Bolla, Manjeet K ; Wang, Qin ; Garcia-Closas, Montserrat ; Milne, Roger L ; Schmidt, Marjanka K ; Chang-Claude, Jenny ; Dunning, Allison ; Bojesen, Stig E ; Ahsan, Habibul ; Aittomäki, Kristiina ; Andrulis, Irene L ; Arndt, Volker ; Beckmann, Matthias W ; Beeghly-Fadiel, Alicia ; Benitez, Javier ; Bonanni, Bernardo ; Børresen-Dale, Anne-Lise ; Brand, Judith ; Brauch, Hiltrud ; Brenner, Hermann ; Brüning, Thomas ; Burwinkel, Barbara ; Casey, Graham ; Chenevix-Trench, Georgia ; Cox, Angela ; Cross, Simon S ; Czene, Kamila ; Devilee, Peter ; Dörk, Thilo ; Dumont, Ma ; Fasching, Peter A ; Figueroa, Jonine ; Flesch-Janys, Dieter ; Fletcher, Olivia ; Flyger, Henrik ; Fostira, Florentia ; Gammon, Marilie ; Giles, Graham G ; Guénel, Pascal ; Haiman, Christopher A ; Hamann, Ute ; Hooning, Maartje J ; Hopper, John L ; Jakubowska, Anna ; Jasmine, Farzana ; Jenkins, Mark ; John, Esther M ; Johnson, Nichola ; Jones, Michael E ; Kabisch, Maria ; Kibriya, Muhammad ; Knight, Julia A ; Koppert, Linetta B ; Kristensen, Vessela ; Le Marchand, Loic ; Lee, Eunjung ; Li, Jingmei ; Lindblom, Annika ; Luben, Robert ; Malone, Kathi E ; Mannermaa, Arto ; Margolin, Sara ; Marme, Frederik ; McLean, Catriona ; Meijers-Heijboer, Hanne ; Meindl, Alfons ; Neuhausen, Susan L ; Nevanlinna, Heli ; Neven, Patrick ; Perez, Jose I. A ; Perkins, Barbara ; Peterlongo, Paolo ; Phillips, Kelly-Anne ; Pylkäs, Katri ; Rudolph, Anja ; Sawyer, Elinor J ; Schmutzler, Rita K ; Seynaeve, Caroline ; Shah, Mitul ; Shrubsole, Martha J ; Southey, Melissa C ; Swerdlow, Anthony J ; Tomlinson, Ian ; Torres, Diana ; Truong, Thérèse ; Ursin, Giske ; Van Der Luijt, Rob B ; Verhoef, Senno ; Whittemore, Alice S ; Winqvist, Robert ; Zhao, Shilin ; Hall, Per ; Simard, Jacques ; Kraft, Peter ; Pharoah, Paul ; Hunter, David ; Zheng, Wei</creatorcontrib><description>Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. Results In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m.sup.2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 x 10.sup.-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 x 10.sup.-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 x 10.sup.-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 x 10.sup.-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p &lt; 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. Conclusions BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.</description><identifier>ISSN: 1549-1277</identifier><identifier>DOI: 10.1371/journal.pmed.1002105</identifier><language>eng</language><publisher>Public Library of Science</publisher><subject>Body mass index ; Breast cancer ; Genetic aspects ; Health aspects ; Postmenopausal women ; Risk factors ; Single nucleotide polymorphisms</subject><ispartof>PLoS Medicine, 2016, Vol.13 (8)</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780,860,4476,27902</link.rule.ids></links><search><creatorcontrib>Guo, Yan</creatorcontrib><creatorcontrib>Warren Andersen, Shaneda</creatorcontrib><creatorcontrib>Michailidou, Kyriaki</creatorcontrib><creatorcontrib>Bolla, Manjeet K</creatorcontrib><creatorcontrib>Wang, Qin</creatorcontrib><creatorcontrib>Garcia-Closas, Montserrat</creatorcontrib><creatorcontrib>Milne, Roger L</creatorcontrib><creatorcontrib>Schmidt, Marjanka K</creatorcontrib><creatorcontrib>Chang-Claude, Jenny</creatorcontrib><creatorcontrib>Dunning, Allison</creatorcontrib><creatorcontrib>Bojesen, Stig E</creatorcontrib><creatorcontrib>Ahsan, Habibul</creatorcontrib><creatorcontrib>Aittomäki, Kristiina</creatorcontrib><creatorcontrib>Andrulis, Irene L</creatorcontrib><creatorcontrib>Arndt, Volker</creatorcontrib><creatorcontrib>Beckmann, Matthias W</creatorcontrib><creatorcontrib>Beeghly-Fadiel, Alicia</creatorcontrib><creatorcontrib>Benitez, Javier</creatorcontrib><creatorcontrib>Bonanni, Bernardo</creatorcontrib><creatorcontrib>Børresen-Dale, Anne-Lise</creatorcontrib><creatorcontrib>Brand, Judith</creatorcontrib><creatorcontrib>Brauch, Hiltrud</creatorcontrib><creatorcontrib>Brenner, Hermann</creatorcontrib><creatorcontrib>Brüning, Thomas</creatorcontrib><creatorcontrib>Burwinkel, Barbara</creatorcontrib><creatorcontrib>Casey, Graham</creatorcontrib><creatorcontrib>Chenevix-Trench, Georgia</creatorcontrib><creatorcontrib>Cox, Angela</creatorcontrib><creatorcontrib>Cross, Simon S</creatorcontrib><creatorcontrib>Czene, Kamila</creatorcontrib><creatorcontrib>Devilee, Peter</creatorcontrib><creatorcontrib>Dörk, Thilo</creatorcontrib><creatorcontrib>Dumont, Ma</creatorcontrib><creatorcontrib>Fasching, Peter A</creatorcontrib><creatorcontrib>Figueroa, Jonine</creatorcontrib><creatorcontrib>Flesch-Janys, Dieter</creatorcontrib><creatorcontrib>Fletcher, Olivia</creatorcontrib><creatorcontrib>Flyger, Henrik</creatorcontrib><creatorcontrib>Fostira, Florentia</creatorcontrib><creatorcontrib>Gammon, Marilie</creatorcontrib><creatorcontrib>Giles, Graham G</creatorcontrib><creatorcontrib>Guénel, Pascal</creatorcontrib><creatorcontrib>Haiman, Christopher A</creatorcontrib><creatorcontrib>Hamann, Ute</creatorcontrib><creatorcontrib>Hooning, Maartje J</creatorcontrib><creatorcontrib>Hopper, John L</creatorcontrib><creatorcontrib>Jakubowska, Anna</creatorcontrib><creatorcontrib>Jasmine, Farzana</creatorcontrib><creatorcontrib>Jenkins, Mark</creatorcontrib><creatorcontrib>John, Esther M</creatorcontrib><creatorcontrib>Johnson, Nichola</creatorcontrib><creatorcontrib>Jones, Michael E</creatorcontrib><creatorcontrib>Kabisch, Maria</creatorcontrib><creatorcontrib>Kibriya, Muhammad</creatorcontrib><creatorcontrib>Knight, Julia A</creatorcontrib><creatorcontrib>Koppert, Linetta B</creatorcontrib><creatorcontrib>Kristensen, Vessela</creatorcontrib><creatorcontrib>Le Marchand, Loic</creatorcontrib><creatorcontrib>Lee, Eunjung</creatorcontrib><creatorcontrib>Li, Jingmei</creatorcontrib><creatorcontrib>Lindblom, Annika</creatorcontrib><creatorcontrib>Luben, Robert</creatorcontrib><creatorcontrib>Malone, Kathi E</creatorcontrib><creatorcontrib>Mannermaa, Arto</creatorcontrib><creatorcontrib>Margolin, Sara</creatorcontrib><creatorcontrib>Marme, Frederik</creatorcontrib><creatorcontrib>McLean, Catriona</creatorcontrib><creatorcontrib>Meijers-Heijboer, Hanne</creatorcontrib><creatorcontrib>Meindl, Alfons</creatorcontrib><creatorcontrib>Neuhausen, Susan L</creatorcontrib><creatorcontrib>Nevanlinna, Heli</creatorcontrib><creatorcontrib>Neven, Patrick</creatorcontrib><creatorcontrib>Perez, Jose I. A</creatorcontrib><creatorcontrib>Perkins, Barbara</creatorcontrib><creatorcontrib>Peterlongo, Paolo</creatorcontrib><creatorcontrib>Phillips, Kelly-Anne</creatorcontrib><creatorcontrib>Pylkäs, Katri</creatorcontrib><creatorcontrib>Rudolph, Anja</creatorcontrib><creatorcontrib>Sawyer, Elinor J</creatorcontrib><creatorcontrib>Schmutzler, Rita K</creatorcontrib><creatorcontrib>Seynaeve, Caroline</creatorcontrib><creatorcontrib>Shah, Mitul</creatorcontrib><creatorcontrib>Shrubsole, Martha J</creatorcontrib><creatorcontrib>Southey, Melissa C</creatorcontrib><creatorcontrib>Swerdlow, Anthony J</creatorcontrib><creatorcontrib>Tomlinson, Ian</creatorcontrib><creatorcontrib>Torres, Diana</creatorcontrib><creatorcontrib>Truong, Thérèse</creatorcontrib><creatorcontrib>Ursin, Giske</creatorcontrib><creatorcontrib>Van Der Luijt, Rob B</creatorcontrib><creatorcontrib>Verhoef, Senno</creatorcontrib><creatorcontrib>Whittemore, Alice S</creatorcontrib><creatorcontrib>Winqvist, Robert</creatorcontrib><creatorcontrib>Zhao, Shilin</creatorcontrib><creatorcontrib>Hall, Per</creatorcontrib><creatorcontrib>Simard, Jacques</creatorcontrib><creatorcontrib>Kraft, Peter</creatorcontrib><creatorcontrib>Pharoah, Paul</creatorcontrib><creatorcontrib>Hunter, David</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><title>Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent</title><title>PLoS Medicine</title><description>Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. Results In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m.sup.2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 x 10.sup.-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 x 10.sup.-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 x 10.sup.-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 x 10.sup.-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p &lt; 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. Conclusions BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.</description><subject>Body mass index</subject><subject>Breast cancer</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Postmenopausal women</subject><subject>Risk factors</subject><subject>Single nucleotide polymorphisms</subject><issn>1549-1277</issn><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2016</creationdate><recordtype>report</recordtype><sourceid/><recordid>eNqVjs1KAzEUhbNQsP68gYv7AHZMOjNM4662tbooSBFcyiW5I6mZm5Kk4PgOvrMRfAE5iwPfOQeOENdKVqru1O0-HCOjrw4D2UpJOVOyPRET1TZ6qmZddybOU9oXrqWWE_G9IabsDHo_wnMk60wmC_fBjrDFlOCJLX0CcmGRMGVYIhuKsHPp4w62VGLvkGFXKmFwX5hdYFiUC2OiBKGHFWaEPoYBVNPeSCnhNQzEv9H6GMOBynpFyRDnS3Hao0909ecXonpYvywfp-_o6c1xH3JEU2RpcCYw9a7wRdPpRtXzua7_PfgBtI5ixQ</recordid><startdate>20160823</startdate><enddate>20160823</enddate><creator>Guo, Yan</creator><creator>Warren Andersen, Shaneda</creator><creator>Michailidou, Kyriaki</creator><creator>Bolla, Manjeet K</creator><creator>Wang, Qin</creator><creator>Garcia-Closas, Montserrat</creator><creator>Milne, Roger L</creator><creator>Schmidt, Marjanka K</creator><creator>Chang-Claude, Jenny</creator><creator>Dunning, Allison</creator><creator>Bojesen, Stig E</creator><creator>Ahsan, Habibul</creator><creator>Aittomäki, Kristiina</creator><creator>Andrulis, Irene L</creator><creator>Arndt, Volker</creator><creator>Beckmann, Matthias W</creator><creator>Beeghly-Fadiel, Alicia</creator><creator>Benitez, Javier</creator><creator>Bonanni, Bernardo</creator><creator>Børresen-Dale, Anne-Lise</creator><creator>Brand, Judith</creator><creator>Brauch, Hiltrud</creator><creator>Brenner, Hermann</creator><creator>Brüning, Thomas</creator><creator>Burwinkel, Barbara</creator><creator>Casey, Graham</creator><creator>Chenevix-Trench, Georgia</creator><creator>Cox, Angela</creator><creator>Cross, Simon S</creator><creator>Czene, Kamila</creator><creator>Devilee, Peter</creator><creator>Dörk, Thilo</creator><creator>Dumont, Ma</creator><creator>Fasching, Peter A</creator><creator>Figueroa, Jonine</creator><creator>Flesch-Janys, Dieter</creator><creator>Fletcher, Olivia</creator><creator>Flyger, Henrik</creator><creator>Fostira, Florentia</creator><creator>Gammon, Marilie</creator><creator>Giles, Graham G</creator><creator>Guénel, Pascal</creator><creator>Haiman, Christopher A</creator><creator>Hamann, Ute</creator><creator>Hooning, Maartje J</creator><creator>Hopper, John L</creator><creator>Jakubowska, Anna</creator><creator>Jasmine, Farzana</creator><creator>Jenkins, Mark</creator><creator>John, Esther M</creator><creator>Johnson, Nichola</creator><creator>Jones, Michael E</creator><creator>Kabisch, Maria</creator><creator>Kibriya, Muhammad</creator><creator>Knight, Julia A</creator><creator>Koppert, Linetta B</creator><creator>Kristensen, Vessela</creator><creator>Le Marchand, Loic</creator><creator>Lee, Eunjung</creator><creator>Li, Jingmei</creator><creator>Lindblom, Annika</creator><creator>Luben, Robert</creator><creator>Malone, Kathi E</creator><creator>Mannermaa, Arto</creator><creator>Margolin, Sara</creator><creator>Marme, Frederik</creator><creator>McLean, Catriona</creator><creator>Meijers-Heijboer, Hanne</creator><creator>Meindl, Alfons</creator><creator>Neuhausen, Susan L</creator><creator>Nevanlinna, Heli</creator><creator>Neven, Patrick</creator><creator>Perez, Jose I. 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A</au><au>Perkins, Barbara</au><au>Peterlongo, Paolo</au><au>Phillips, Kelly-Anne</au><au>Pylkäs, Katri</au><au>Rudolph, Anja</au><au>Sawyer, Elinor J</au><au>Schmutzler, Rita K</au><au>Seynaeve, Caroline</au><au>Shah, Mitul</au><au>Shrubsole, Martha J</au><au>Southey, Melissa C</au><au>Swerdlow, Anthony J</au><au>Tomlinson, Ian</au><au>Torres, Diana</au><au>Truong, Thérèse</au><au>Ursin, Giske</au><au>Van Der Luijt, Rob B</au><au>Verhoef, Senno</au><au>Whittemore, Alice S</au><au>Winqvist, Robert</au><au>Zhao, Shilin</au><au>Hall, Per</au><au>Simard, Jacques</au><au>Kraft, Peter</au><au>Pharoah, Paul</au><au>Hunter, David</au><au>Zheng, Wei</au><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><atitle>Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent</atitle><jtitle>PLoS Medicine</jtitle><date>2016-08-23</date><risdate>2016</risdate><volume>13</volume><issue>8</issue><issn>1549-1277</issn><abstract>Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. Results In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m.sup.2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 x 10.sup.-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 x 10.sup.-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 x 10.sup.-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 x 10.sup.-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p &lt; 0.05; for 16 of them, the allele associated with elevated BMI was associated with reduced breast cancer risk. Conclusions BMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.</abstract><pub>Public Library of Science</pub><doi>10.1371/journal.pmed.1002105</doi></addata></record>
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subjects Body mass index
Breast cancer
Genetic aspects
Health aspects
Postmenopausal women
Risk factors
Single nucleotide polymorphisms
title Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent
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