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908 citation(s) found for "Wu, Wendy".

An Inherited Genetic Variant in CEP72 Promoter Predisposes to Vincristine‐Induced Peripheral Neuropathy in Adults With Acute Lymphoblastic Leukemia
Diouf, B , Crews, Kristine R. , Pei, D, Laumann, Kristina, Mandrekar, S. J., Luger, Selina M. , Stone, RM, We, Evans, Loh, Mignon L. , Stock, Wendy , Cheng, Christopher H.K. , Advani, Anjali S. , Larson, Richard A. , Crews, Kristine R , Loh, Mignon L

Clinical Pharmacology & Therapeutics | September 12, 2016 | Volume: 101 | Issue: 3 | Pages: 391-395

10.1002/cpt.506 | PMID 27618250 Get It

Peripheral neuropathy is a major toxicity of vincristine, yet no strategies exist for identifying adult patients at high‐risk. We used a case–control design of 48 adults receiving protocol therapy for acute lymphoblastic leukemia (ALL) who developed vincristine‐induced neuropathy (NCI grade 2–4) during treatment, and 48 matched controls who did not develop grade 2–4 neuropathy. Peripheral neuropathy was prospectively graded by National Cancer Institute (NCI) criteria. CEP72 promoter genotype (rs924607) was determined using polymerase chain reaction (PCR)‐based single nucleotide polymorphism (SNP) genotyping. Frequency of the CEP72 T/T genotype was higher in cases (31% vs. 10%, P = 0.0221) and the incidence of vincristine‐induced neuropathy (grades 2–4) was significantly higher in patients homozygous for the CEP72 T/T genotype. 75% of the 20 patients homozygous for the CEP72 T allele developed grade 2–4 neuropathy, compared to 44% of patients with CEP72 CC or CT genotype (P = 0.0221). The CEP72 polymorphism can identify adults at increased risk of vincristine‐induced peripheral neuropathy.
A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci
Rand, Kristin A. , Song, Chi , Déan, Eric, Serie, Daniel, Curtin, Karen , Sheng, Xin , Huff, Carol Ann , Bernal‐Mizrachi, Leon , Tomasson, Michael H. , Pawlish, Karen , Peters, Edward , Stram, Alex , Edlund, Christopher K., Conti, David V. , Zimmerman, Todd M., Hwang, Amie E. , Huntsman, Scott , Graff, John, Kong, Yinfei , Pregja, Silvana, Berndt, Sonja I. , Blot, William J. , Carpten, John D. , Chu, Lisa W., Diver, W. Ryan , Stevens, Victoria L. , Lieber, Michael R. , Goodman, Phyllis J. , Hennis, Anselm , Hsing, Ann W. , Mehta, Jayesh, Klein, Eric A. , Leske, Cristina, Murphy, Adam B. , Nemesure, Barbara , Strom, Sara S., Vij, Ravi , Rybicki, Benjamin A. , Stanford, Janet L. , Signorello, Lisa B., Witte, John S. , Bhatti, Parveen , Hu, Jennifer J. , Nyante, Sarah J. , Birmann, Brenda M. , Atanackovic, Djordje , Glenn, Martha, Jones, Brandt, Tricot, Guido , Kumar, Shaji , Wolf, Jeffrey L. , Halverson, Sandra L. , Rothman, Nathaniel , Brooks‐Wilson, Angela , Kolonel, Laurence N. , Severson, Richard K., Janakiraman, Nalini, Terebelo, Howard R. , Brown, Elizabeth E. , Roos, Anneclaire J. De , Mohrbacher, Ann , Spinelli, John J. , Munshi, Nikhil C. , Levy, Joan, Zonder, Jeffrey A. , Orlowski, Robert Z. , Camp, Nicola J. , Vachon, Celine M. , Ziv, Elad , Hazelett, Dennis J. , Haiman, Christopher A. , Serie, Daniel J, Hu, Donglei , Ailawadhi, Sikander , Singhal, Seema , Bock, Cathryn Hufford , Berg, David Van Den , Nooka, Ajay K. , Casey, Graham , Kittles, Rick A. , Kolb, Suzanne , Neslund-Dudas, Christine M , Ambrosone, Christine B. , John, Esther M. , Bernstein, Leslie , Zheng, Wei , Olshan, Andrew F. , Ziegler, Regina G. , Bandera, Elisa V. , Ingles, Sue A. , Press, Michael F. , Cannon‐Albright, Lisa , Martin, Thomas G. , Rothman, Nathaniel , Rajkumar, S. Vincent , Chanock, Stephen Jacob , Slager, Susan L. , Colditz, Graham A. , Giles, Graham G. , Chiu, Brian C.‐H. , Anderson, Kenneth C. , Orlowski, Robert Z. , Lonial, Sagar , Vachon, Celine M. , Stram, Daniel O. , Cozen, Wendy , Hazelett, Dennis J , Brooks-Wilson, Angela R , Klein, Eric A , De Roos, Anneclaire J , Nyante, Sarah , Bhatti, Parveen , Birmann, Brenda M , Ziv, Elad , Conti, David V

Cancer Epidemiology, Biomarkers & Prevention | September 2, 2016 | Volume: 25 | Issue: 12 | Pages: 1609-1618

10.1158/1055-9965.epi-15-1193 | PMID 27587788 Get It

Abstract Background: Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma. Methods: We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality. Results: We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry–European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4. Correlated variants in 7p15.3 clustered around an enhancer at the 3′ end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10−7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7. Conclusions: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles. Impact: A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609–18. ©2016 AACR.
Chaperonin-Based Biolayer Interferometry To Assess the Kinetic Stability of Metastable, Aggregation-Prone Proteins
Lea, Wendy , O’Neil, Pierce T. , Machen, Alexandra J. , Naik, Subhashchandra , Chaudhri, Tapan, McGinn-Straub, Wesley, Tischer, Alexander , Auton, Matthew , Burns, Joshua R. , Baldwin, Michael R. , Khar, Karen R., Karanicolas, John , Fisher, Mark T., Auton, Matthew T, Auton, Matthew , Tischer, Alexander

Biochemistry | August 9, 2016 | Volume: 55 | Issue: 35 | Pages: 4885-4908

10.1021/acs.biochem.6b00293 | PMID 27505032 Get It

Galectin-9 modulates immunity by promoting Th2/M2 differentiation and impacts survival in patients with metastatic melanoma
Enninga, Elizabeth Ann L. , Nevala, Wendy K. , Holtan, Shernan G. , Leontovich, Alexey A. , Markovic, Svetomir N. , Enninga, Elizabeth Ann L , Holtan, Shernan

Melanoma Research | July 23, 2016 | Volume: 26 | Issue: 5 | Pages: 429-441

10.1097/cmr.0000000000000281 | PMID 27455380 Get It

Galectin-9, a β-galactoside-binding protein, is defined as a negative regulator of T helper 1 (Th1) immune responses, favoring Th2 bias. Systemic immunity in patients with metastatic melanoma is predominantly Th2 biased. We hypothesized that galectin-9 can modulate systemic immunity toward Th2 polarization in patients with advanced melanoma. The presence or concentration of galectin-9 was assessed in tumors and plasma, in patients with metastatic melanoma. The immunomodulatory function of galectin-9 was determined by exposing human peripheral blood mononuclear cells to galectin-9 in vitro. Galectin-9 was expressed in 57% of tumors and was significantly (3.6-fold) increased in the plasma of patients with advanced melanoma compared with healthy controls (P<0.001). High plasma galectin-9 concentration was associated with systemic Th2 polarization and reduced 2-year survival compared with low/no galectin-9 expression. In-vitro, galectin-9 reduced proliferation of healthy peripheral blood mononuclear cells, and promoted Th1 cell apoptosis, Th2-biased cell phenotypes, and cytokine secretion. Galectin-9 also stimulated monocyte differentiation toward an M2 macrophage phenotype, as assessed by chemokine/cytokine secretion and CD206 expression, observed both in vitro as well as in patients with metastatic melanoma. Elevated galectin-9 in patient plasma correlated with Th2 systemic bias and less favorable clinical outcomes for patients with metastatic melanoma. This Th2 bias appears to be not only a feature of the known mechanisms of Th1 apoptosis by T-cell immunoglobulin and mucin-domain containing-3 binding, but also mediated by myeloid cell differentiation toward an M2 phenotype, that favors tumor progression. These data support galectin-9 as a novel therapeutic target for patients with metastatic melanoma.
Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
Kar, Siddhartha , Beesley, Jonathan, Olama, Ali Amin Al , Michailidou, Kyriaki , Lawrenson, Kate , Lindström, Sara, Ramus, Susan J. , Thompson, Deborah J. , Investigators, ABCTB, Kibel, Adam S. , Dansonka‐Mieszkowska, Agnieszka , Michael, Agnieszka , Dieffenbach, Aida Karina, Whittemore, Alice S. , Monteiro, Álvaro N.A. , Peixoto, Ana , González‐Neira, Anna , Wu, Anna H. , Lindblom, Annika , Swerdlow, Anthony J. , Cancer), AOCS Study Group & Australian Cancer Study (Ovarian, BioResource, APCB, Ekici, Arif B. , Burwinkel, Barbara , Nordestgaard, Børge G. , Blomqvist, Carl , Phelan, Catherine, McLean, Catriona , Pearce, Celeste Leigh, Vachon, Celine M. , Stegmaier, Christa, Maier, Christiane, Høgdall, Claus , Kang, Daehee , Tessier, Daniel C., Schaid, Daniel J. , Neal, David E. , Eccles, Diana , Flesch‐Janys, Dieter, Wokozorczyk, Dominika, Levine, Douglas A. , Yannoukakos, Drakoulis , Sawyer, Elinor J. , Goode, Ellen L. , Хуснутдинова, Э. К. , Høgdall, Estrid , Song, Fengju, Bruinsma, Fiona, Heitz, Florian , Hamdy, Freddie C. , Olsson, Håkan , Wildiers, Hans , Ulmer, Hans-Ulrich, Pandha, Hardev , Darabi, Hatef, Salvesen, Helga B., Grönberg, Henrik , Brenner, Hermann , Brauch, Hiltrud , Song, Honglin , Lim, Hui-Yi, McNeish, Iain A. , Campbell, Ian , Vergote, Ignace , Lubiński, Jan , Stanford, Janet L. , Benı́tez, Javier , Chang‐Claude, Jenny , Donovan, Jenny , Schildkraut, Joellen M. , Schleutker, Johanna , Hopper, John L. , Kupryjańczyk, Jolanta , Figueroa, Jonine D. , Clements, Judith A. , Knight, Julia A. , Peto, Julian , Cunningham, Julie M. , Pow‐Sang, Julio M. , Batra, Jyotsna , Lu, Karen H., Herkommer, Kathleen , Investigators, kConFab, Matsuo, Keitaro , Muir, Kenneth , Offitt, Kenneth, Chen, Kexin , Moysich, Kirsten B., Aittomäki, Kristiina, Odunsi, Kunle , Kiemeney, Lambertus A. , Massuger, Leon F.A.G. , Hooning, Maartje J. , Pike, Malcolm C., Bolla, Manjeet K. , Luedeke, Manuel, Teixeira, Manuel R. , Goodman, Marc T. , Schmidt, Marjanka K. , Riggan, Marjorie J. , Rossing, Mary Anne, Beckmann, Matthias W. , Moisse, Matthieu , Southey, Melissa C. , Jones, Michael E. , Hildebrandt, Michelle A.T., Hou, Ming‐Feng , Schoemaker, Minouk J. , García‐Closas, Montserrat , Bogdanova, Natalia , Investigators, NBCS, Le, Nhu D. , Orr, Nick , Wentzensen, Nicolas , Pashayan, Nora , Peterlongo, Paolo , Guénel, Pascal , Brennan, Paul , Paulo, Paula , Webb, Penelope M. , Broberg, Per, Fasching, Peter A. , Devilee, Peter , Wang, Qin, Kaneva, Radka , Kopperud, Reidun Kristin, Schmutzler, Rita K., Stephenson, Robert A., MacInnis, Robert J. , Hoover, Robert N. , Winqvist, Robert , Ness, Roberta B., Travis, Ruth C. , Benlloch, Sara, Olson, Sara H. , McDonnell, Shannon K. , Tworoger, Shelley S. , Maia, Sofia , Berndt, Sonja I., Lee, Soo Chin , Teo, Soo‐Hwang , Thibodeau, Stephen N. , Bojesen, Stig E. , Gapstur, Susan M. , Tammela, Teuvo L.J. , Network, the GENICA, Dörk, Thilo , Brüning, Thomas , Wahlfors, Tiina , Edwards, Todd L., Menon, Usha , Hamann, Ute , Mitev, Vanio , Kosma, Veli‐Matti , Setiawan, Veronica Wendy , Kristensen, Vessela, Vogel, Walther , Zheng, Wei , Sieh, Weiva , Blot, William J. , Kluźniak, Wojciech , Gao, Yu‐Tang , Schumacher, Fredrick R. , Freedman, Matthew L., Dunning, Alison M. , Simard, Jacques , Haiman, Christopher A. , Sellers, Thomas A. , Hunter, David J. , Henderson, Brian E., Kraft, Peter , Gayther, Simon A. , Easton, Douglas F. , Chenevix‐Trench, Georgia , Eeles, Rosalind A. , Lambrechts, Diether , Lu, Karen H. , Durocher, Francine , Zheng, Wei , Thorne, Heather , Lambrechts, Diether , Chen, Kexin , Vachon, Celine, Tyrer, Jonathan P. , Kote‐Jarai, Zsofia , Investigators, ABCTB, Gentry‐Maharaj, Aleksandra , Wolk, Alicja , Kierzek, Andrzej , Cox, Angela , Rudolph, Anja , Cancer), AOCS Study Group & Australian Cancer Study (Ovarian, BioResource, APCB, Ziogas, Argyrios , Karlan, Beth Y. , Vachon, Celine M. , Cybulski, Cezary , Slavov, Chavdar , Ambrosone, Christine B. , Teerlink, Craig C. , Stram, Daniel O. , Cramer, Daniel W. , Edwards, Digna R. Velez , Bandera, Elisa V. , Poole, Elizabeth M. , Song, Fengju , Modugno, Francesmary , Wiklund, Fredrik E. , Giles, Graham G. , Risch, Harvey A. , Nevanlinna, Heli , Anton‐Culver, Hoda , Gronwald, Jacek , Doherty, Jennifer A. , Permuth, Jennifer B. , Dennis, Joe , Park, Jong Y. , Czene, Kamila , Khaw, Kay‐Tee , Investigators, kConFab, Moysich, Kirsten B., FitzGerald, Liesel M. , Cook, Linda S. , Cannon‐Albright, Lisa , Hooning, Maartje J. , Aly, Markus , Sanderson, Maureen , Lush, Michael J. , Hildebrandt, Michelle A.T. , Rahman, Nazneen , Investigators, NBCS, Wang, Qin, Cai, Qiuyin , Li, Qiyuan , Bützow, Ralf C. , Milne, Roger L. , Berndt, Sonja I. , Kjær, Susanne K. , Pejovic, Tanja B. , Network, the GENICA, Key, Tim , Kristensen, Vessela N. , Arndt, Volker , Shu, Xiao‐Ou , Berchuck, Andrew , Spurdle, Amanda B. , Chanock, Stephen Jacob , Couch, Fergus J. , Hall, Per N , Pharoah, Paul D.P. , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Peterlongo, Paolo , Ramus, Susan J , Teixeira, Manuel R , Teo, Soo H , Tworoger, Shelley S , Webb, Penelope M , Eccles, Diana , Menon, Usha , Lawrenson, Kate , Monteiro, Alvaro N , Swerdlow, Anthony J , Moysich, Kirsten , Campbell, Ian G , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Michael, Agnieszka , Maclnnis, Robert , Matsuo, Keitaro , Dunning, Alison M , Heitz, Florian , Jones, Michael E , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Brenner, Hermann , Guénel, Pascal , García-Closas, Montserrat , Schmidt, Marjanka K , Ekici, Arif B , Moisse, Matthieu , Michailidou, Kyriaki , Bogdanova, Natalia V , Kraft, Peter , Benitez, Javier , Simard, Jacques , Chenevix-Trench, Georgia , Zheng, Wei , Figueroa, Jonine D , Høgdall, Estrid , Høgdall, Claus K , Kar, Siddhartha , Batra, Jyotsna , Clements, Judith , Setiawan, Veronica W , Yannoukakos, Drakoulis , Devilee, Peter , Lubinski, Jan , Bojesen, Stig E , Schoemaker, Minouk J , Goodman, Marc T , Wildiers, Hans , Mclean, Catriona , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Orr, Nick , McDonnell, Shannon K , Kang, Daehee

Cancer Discovery | July 18, 2016 | Volume: 6 | Issue: 9 | Pages: 1052-1067

10.1158/2159-8290.cd-15-1227 | PMID 27432226 Get It

Abstract Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P &lt; 10−8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type–specific expression quantitative trait locus and enhancer–gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P &lt; 10−5 in the three-cancer meta-analysis. Significance: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052–67. ©2016 AACR. This article is highlighted in the In This Issue feature, p. 932
Cumulative Faults with Serial Testing for Latent Tuberculosis in Low-Risk Populations
Thanassi, Wendy , Buchta, William G., Thanassi, Wendy T

Annals of the American Thoracic Society | July 7, 2016 | Volume: 13 | Issue: 7 | Pages: 1187-1188

10.1513/annalsats.201603-213le | PMID 27388409 Get It

Effect of Public Deliberation on Attitudes toward Return of Secondary Results in Genomic Sequencing
Gornick, Michele C. , Scherer, Aaron M. , Sutton, Erica J., Ryan, Kerry A. , Exe, Nicole , Uhlmann, Wendy R. , Kim, Scott Y. H. , Roberts, J. Scott , Vries, Raymond De , Roberts, J. Scott , Li, Ming

Journal of Genetic Counseling | June 15, 2016 | Volume: 26 | Issue: 1 | Pages: 122-132

10.1007/s10897-016-9987-0 | PMID 27307100 Get It

AbstractThe increased use of genomic sequencing in clinical diagnostics and therapeutics makes imperative the development of guidelines and policies about how to handle secondary findings. For reasons both practical and ethical, the creation of these guidelines must take into consideration the informed opinions of the lay public. As part of a larger Clinical Sequencing Exploratory Research (CSER) consortium project, we organized a deliberative democracy (DD) session that engaged 66 participants in dialogue about the benefits and risks associated with the return of secondary findings from clinical genomic sequencing. Participants were educated about the scientific and ethical aspects of the disclosure of secondary findings by experts in medical genetics and bioethics, and then engaged in facilitated discussion of policy options for the disclosure of three types of secondary findings: 1) medically actionable results; 2) adult onset disorders found in children; and 3) carrier status. Participants’ opinions were collected via surveys administered one month before, immediately following, and one month after the DD session. Post DD session, participants were significantly more willing to support policies that do not allow access to secondary findings related to adult onset conditions in children (Χ2 (2, N = 62) = 13.300, p = 0.001) or carrier status (Χ2 (2, N = 60) = 11.375, p = 0.003). After one month, the level of support for the policy denying access to secondary findings regarding adult‐onset conditions remained significantly higher than the pre‐DD level, although less than immediately post‐DD (Χ2 (1, N = 60) = 2.465, p = 0.041). Our findings suggest that education and deliberation enhance public appreciation of the scientific and ethical complexities of genome sequencing.
Patterns and predictors of clustered risky health behaviors among adult survivors of childhood cancer: A report from the Childhood Cancer Survivor Study
Lown, E. Anne , Zhang, Nan , Srivastava, Deo Kumar , Leisenring, Wendy M. , Nathan, Paul C. , Devine, Katie A. , Krull, Kevin R. , Oeffinger, Kevin C. , Armstrong, Gregory T. , Ness, Kirsten K. , Hijiya, Nobuko , Castellino, Sharon M. , Dilley, Kimberley Jo , Hudson, Melissa M. , Robison, Leslie L. , Leisenring, Wendy , Ness, Kirsten K

Cancer | June 3, 2016 | Volume: 122 | Issue: 17 | Pages: 2747-2756

10.1002/cncr.30106 | PMID 27258389 Get It

BACKGROUNDHealth complications related to childhood cancer may be influenced by risky health behaviors (RHBs), particularly when RHBs co‐occur. To the authors' knowledge, only limited information is available describing how RHBs cluster among survivors of childhood cancer and their siblings and the risk factors for co‐occurring RHBs.METHODSLatent class analysis was used to identify RHB clusters using longitudinal survey data regarding smoking, alcohol use, and physical activity from adult survivors (4184 survivors) and siblings (1598 siblings) in the Childhood Cancer Survivor Study. Generalized logistic regression was used to evaluate associations between demographic characteristics, treatment exposures, psychological distress, health conditions, and cluster membership.RESULTSThree RHB clusters were identified: a low‐risk cluster, an insufficiently active cluster, and a high‐risk cluster (tobacco and risky alcohol use and insufficient activity). Compared with siblings, survivors were more likely to be in the insufficiently active cluster (adjusted odds ratio [ORadj], 1.17; 95% confidence interval [95% CI], 1.06‐1.27) and were less likely to be in the high‐risk cluster (ORadj, 0.79; 95% CI, 0.69‐0.88). Risk factors for membership in the high‐risk cluster included psychological distress (ORadj, 2.76; 95% CI, 1.98‐3.86), low educational attainment (ORadj, 7.49; 95% CI, 5.15‐10.88), income <$20,000 (ORadj, 2.62; 95% CI, 1.93‐3.57), being divorced/separated or widowed (ORadj, 1.36; 95% CI, 1.03‐1.79), and limb amputation (ORadj, 1.52; 95% CI, 1.03‐2.24). Risk factors for the insufficiently active cluster included chronic health conditions, psychological distress, low education or income, being obese or overweight, female sex, nonwhite race/ethnicity, single marital status, cranial radiation, and cisplatin exposure.CONCLUSIONSRHBs co‐occur in survivors of childhood cancer and their siblings. Economic and educational disadvantages and psychological distress should be considered in screening and interventions to reduce RHBs. Cancer 2016. © 2016 American Cancer Society. Cancer 2016;122:2747–2756. © 2016 American Cancer Society.