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Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees
Camp, Nicola J. , Wei, Xiaomu , Earle, Angel, Norman, Aaron D. , Sinnwell, Jason P. , Demangel, Delphine , Griffin, R. L. , McKay, James , Offit, Kenneth , Vijai, Joseph , Chen, Siwei , O’Brien, Daniel , Klein, Robert J. , Kumar, Shaji, Lipkin, Steven M. , Vachon, Celine M. , Waller, Rosalie G. , Clay-Gilmour, Alyssa I, Camp, Nicola J , Norman, Aaron D , Sinnwell, Jason P , Griffin, Rosalie , Offit, Kenneth , Joseph, Vijai , Rajkumar, Vincent, Klein, Robert , Lipkin, Steve , Waller, Rosalie G , Clay‐Gilmour, Alyssa , Dumontet, Charles , Rajkumar, S. Vincent , Kumar, Shaji , Vachon, Celine M.

Cancers | November 10, 2025 | Volume: 17 | Issue: 22 | Pages: 3611

10.3390/cancers17223611 | PMID 41300981 Get It

Background/Objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis. Methods:Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander–Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, and 21 unaffected). Genome-wide linkage was evaluated using 12,946 independent single-nucleotide variants (linkage disequilibrium r2 < 0.05). Results: Significant linkage was observed at chromosome 6q22.33–q24.2 by the non-parametric model (logarithm-of-odds (LOD) = 3.3) and suggestive linkage by the dominant parametric model (heterogeneity LOD (HLOD) = 2.5). Fourteen rare variants within this region were prioritized using family-specific partial LOD scores and in silico functional prediction tools. Nine of these variants, REPS1, THEMIS, TAAR6, AHI1, VNN1, VNN3, MTFR2/FAM54A, LAMA2, and PHACTR2, overlapped immune-regulatory regions in blood cell lines and were not previously identified in GWASs. Conclusions: This study demonstrates the utility of applying a linkage analysis framework to familial WES data for identifying genomic regions and candidate genes that may contribute to MM/MGUS predisposition. These findings provide new insight into the inherited risk and etiology of familial MM and MGUS.
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Jeon, Dae-Seong , Zhu, Lijing , Li, Haifang , Li, Pengze , Feng, Jingna , Duan, Tiehang , Song, Houbing , Tao, Cui , Niu, Shuteng , Jeon, Dong Hyun , Song, Houbing Herbert , Tao, Cui , Niu, Shuteng , Zhu, Lijing

Proceedings of the 34th ACM International Conference on Information and Knowledge Management | November 7, 2025 | Volume: No volume available | Issue: No issue available | Pages: 1035-1045

10.1145/3746252.3761282 | PMID 41940015 Get It

SPIROMICS HF: Rationale, Design, and Reproducibility of Measures
Barr, R. Graham , Lima, João A.C. , Prince, Martin R. , Abraham, Theodore P. , Agarwal, Prachi , Arora, Garima , Balasubramanian, Aparna , Barjaktarević, Igor , Bello, Natalie A. , Carr, James C. , Cooper, Christopher B. , Finn, J. Paul , Freed, Benjamin H. , Hansel, Nadia N. , Hsu, Jeffrey J. , Kitzman, Dalane W. , LaBounty, Troy , Lee, Yoo Jin , Liu, Jing , Lloyd, Steven G. , Markl, Michael , Ortega, Victor E. , Paine, Robert , Peters, Stephen P. , Schroeder, Joyce , Shepshelovich, Daniel , Sun, Yifei , Wells, J. Michael , Wieben, Oliver , Woodruff, Prescott G. , Ambale-Venkatesh, Bharath , Agarwal, Prachi P , Arora, Garima , Balasubramanian, Aparna , Barjaktarevic, Igor , Bello, Natalie A , Bluemke, David A , Budoff, Matthew , Carr, James C , Chaudhuri, Dipayan , Cooper, Christopher B , Couper, David , Finn, J Paul , Freed, Benjamin H , Han, MeiLan King , Hansel, Nadia N , Hsu, Jeffrey J , Kitzman, Dalane W , Krishnan, Jerry A , LaBounty, Troy M , Lee, Yoo Jin , Liu, Jing , Lloyd, Steven G , Mukherjee, Monica , Beussink-Nelson, Lauren , Ohar, Jill , Paine, Robert , Schroeder, Joyce D , Shen, Wei , Sun, Yifei , Vogel-Claussen, Jens , Watson, Karol E. , Wells, J Michael , Wieben, Oliver , Woodruff, Prescott G , Shah, Sanjiv J , Markl, Michael , Barr, R. Graham , Bluemke, David A. , Budoff, Matthew J. , Couper, David , Mukherjee, Monica , Vogel‐Claussen, Jens

Circulation: Heart Failure | November 5, 2025 | Volume: 18 | Issue: 12 | Pages: No page available

10.1161/circheartfailure.125.012833 | PMID 41190426 Get It

BACKGROUND: Although chronic obstructive pulmonary disease (COPD) and heart failure with preserved ejection fraction often coexist with overlapping clinical features, they are usually studied separately. The SPIROMICS HF (Subpopulations and Intermediate Outcome Measures in COPD and Heart Failure Study) is testing hypotheses that new computed tomography emphysema subtypes are associated with specific cardiovascular phenotypes (eg, cor pulmonale , cor pulmonale parvus ), common airway branch variants are associated with right heart dysfunction, and symptomatic tobacco-exposed persons with preserved spirometry have signs of increased left ventricular afterload. METHODS: SPIROMICS is a multicenter observational study of COPD with extensive pulmonary phenotyping of participants with ≥20 pack-years smoking and nonsmoking controls. COPD and COPD severity were defined by standard spirometric criteria and symptomatic tobacco-exposed persons with preserved spirometry by ≥20 pack-years, normal spirometry, and COPD Assessment Test score >10. SPIROMICS HF selected all participants in SPIROMICS visit 5 at major sites. Its comprehensive speckle-tracking echocardiography, which included physiological perturbations of leg raise and low-intensity exercise, was harmonized prospectively with the Multi-Ethnic Study of Atherosclerosis Early Heart Failure and HeartSHARE (Combining Omics, Deep Phenotyping, and Electronic Health Records for Heart Failure Subtypes and Treatment Targets) studies. The cardiopulmonary magnetic resonance imaging protocol with gadolinium administration included myocardial fibrosis sequences, pulmonary angiography, time-resolved 3-dimensional cine magnetic resonance imaging (4-dimensional flow) of venous return, and metronome-paced tachypnea to induce dynamic hyperinflation. Coronary artery calcium was assessed on computed tomography scans. The Kansas City Cardiomyopathy Questionnaire was administered. RESULTS: Of the final sample of 753 participants, 57% had COPD (15% mild, 27% moderate, and 15% severe), 18% had symptomatic tobacco-exposed persons with preserved spirometry, 16% were smoking controls, and 8% were nonsmoking controls. Reproducibility of the main measures from speckle-tracking echocardiography (intraclass correlation coefficient, 0.83–0.99), exercise echocardiography (intraclass correlation coefficient, 0.71–0.99) and magnetic resonance imaging (intraclass correlation coefficient, 0.57–0.99) were good-to-excellent, including in severe COPD. CONCLUSIONS: SPIROMICS HF aims to characterize and understand cardiopulmonary interactions in COPD and COPD-related phenotypes to inform targeted treatments for combined cardiopulmonary failure.
2025 American College of Rheumatology ( ACR ) Guideline for the Treatment of Systemic Lupus Erythematosus
Sammaritano, Lisa R. , Askanase, Anca , Bermas, Bonnie L. , Dall’Era, Maria , Duarte‐García, Alí , Hiraki, Linda T. , Aranow, Cynthia , Barnado, April , Broder, Anna , Chowdhary, Vaidehi , Hersh, Aimee O. , Jules, Marimee, Kalunian, Kenneth , Smith, Benjamin J. , Smith, Natalie, Thomas, Asha , Timlin, Homa , Bartels, Christie M. , Cunha, Joanne S., DeQuattro, Kimberly , Gomes, Laís Lopes Almeida , Cuéllar‐Gutiérrez, María C. , Iyer, Priyanka , Johannemann, Andrew, Jorge, April , Kasturi, S.Psi. Taufik , Khawandi, Jana , Legge, Alexandra , Liang, Kimberly P. , Lockwood, Megan M. , Sánchez-Rodríguez, Alain , Turgunbaev, Marat, Williams, Jessica N. , Turner, Amy S. , Aranow, Cynthia , Barnado, April , Brunner, Hermine I , Chong, Benjamin F , Hersh, Aimee O , Rubinstein, Tamar B , Smith, Benjamin J , Wallace, Daniel J , Bartels, Christie M , DeQuattro, Kimberly , Figueroa-Parra, Gabriel , Garg, Shivani , Gomes, Lais Lopes Almeida , Cuéllar-Gutiérrez, María C, Jorge, April , Kasturi, Shanthini , Kawtharany, Hassan , Liang, Kimberly P , Lockwood, Megan M , Sanchez-Rodriguez, Alain , Williams, Jessica N , Turner, Amy S , Duarte-García, Alí , Sammaritano, Lisa R , Askanase, Anca , Bermas, Bonnie , Son, Mary Beth F. , Werth, Victoria P. , Chong, Benjamin F. , Izmirly, Peter , Jules, Marimee, Kamen, Diane L. , Thomas, Asha, Azzam, Muayad , Fava, Andrea , Figueroa‐Parra, Gabriel , Garg, Shivani , Kawtharany, Hassan , Mustafa, Reem A

Arthritis & Rheumatology | November 4, 2025 | Volume: 78 | Issue: 7 | Pages: 1361-1386

10.1002/art.43452 | PMID 41187097 Get It

Objective To provide evidence‐based and expert guidance for the treatment and management of non‐renal systemic lupus erythematosus (SLE); treatment and management of lupus nephritis are addressed in a separate guideline. Methods Clinical questions for treatment and management of SLE were developed in the PICO format (population, intervention, comparator, and outcome). Systematic literature reviews were developed for each PICO question, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology was used to assess evidence quality and formulate recommendations. The Voting Panel achieved a consensus of ≥70% agreement on the direction (for or against) and strength (strong or conditional) of each recommendation. Results We present recommendations and ungraded, consensus‐based good practice statements for the treatment and management of SLE that are applicable to pediatric and adult patients. Recommendations emphasize uniform treatment with hydroxychloroquine, limiting duration of glucocorticoid use, and early introduction of conventional and/or biologic immunosuppressive therapies to achieve and maintain control of SLE inflammation (remission or a low level of disease activity), reduce SLE‐related morbidity and mortality, and minimize medication‐related toxicities. Conclusion This guideline presents direction regarding treatment and management of SLE and provides a foundation for well‐informed, shared clinician–patient decision‐making. These recommendations should not be used to limit or deny access to therapies, as treatment decisions may vary due to the unique clinical situation and personal preferences of each person with SLE.
Association between central adiposity and cognitive domain function in recently postmenopausal women: an analysis from the KEEPS-Cog substudy of the Kronos Early Estrogen Preventive Study
James, Taryn T. , Simó, Carola Ferrer, Salazar, Hector , Hulle, Carol A. Van , Wyman, Mary F. , Fischer, Barbara L., Bouges, Shenikqua , Umucu, Emre , Cedars, Marcelle I. , Løbo, Rogerio A. , Neal-Perry, Genevieve, Harman, S. Mitchell , Miller, Virginia M. , Gleason, Carey E. , Dowling, N. Maritza , Simó, Carola A. Ferrer, Ennis, Gilda E. , Johnson, Adrienne L. , McLester‐Davis, Lauren W. Y. , Gooding, Diane Carol , Kara, Firat , Kling, Juliana M. , Manson, JoAnn E. , Brinton, Eliot A. , Santoro, Nanette F. , Naftolin, Frederick , Pal, Lubna , Kantarci, Kejal

Menopause | November 4, 2025 | Volume: 33 | Issue: 2 | Pages: 151-160

10.1097/gme.0000000000002666 | PMID 41186575 Get It

Objective: To determine associations between central adiposity, cognitive function, and randomized menopausal hormone therapy (MHT) in a reanalysis of the Kronos Early Estrogen Prevention Study-Cognitive and Affective (KEEPS-Cog) sub-study participants. Methods: KEEPS randomized 727 women (ages 42-58) who were <36 months postnatural menopause to oral conjugated equine estrogens (o-CEE), transdermal 17-β-estradiol (t-E2), or placebo for 48 months. Participants with diabetes, body mass index >35 kg/m 2 , coronary artery calcium score >50 Agatston Units, and other cardiometabolic disease risk indicators were excluded from enrollment. In the ancillary KEEPS-Cog study, cognitive tests were completed at baseline, 18-, 36-, and 48-month post-randomization. In these analyses, cognitive variables were summarized as four cognitive domain-specific factor scores: verbal learning and memory, auditory attention and working memory, visual attention and executive function, and speeded language and mental flexibility. Waist-hip-ratio (WHR), an indicator of central adiposity, was measured at screening (baseline) and modeled as a covariate in linear latent growth models assessing associations of MHT with cognitive functions at baseline and over time. Results: Higher baseline WHR was associated with poorer performance on all domain-specific cognitive outcomes at baseline and with changes in visual attention and executive function across time. Models including interaction effects were not significant for either o-CEE x WHR or t-E2 x WHR. Conclusion: Central adiposity is a risk factor for domain-specific cognitive decline, and thus, cognitive health effects should be investigated in early postmenopausal women, even in women with low cardiovascular risk statuses.
2025 American College of Rheumatology ( ACR ) Guideline for the Treatment of Systemic Lupus Erythematosus
Sammaritano, Lisa R. , Askanase, Anca , Bermas, Bonnie L. , Dall’Era, Maria , Duarte‐García, Alí , Hiraki, Linda T. , Aranow, Cynthia , Barnado, April , Broder, Anna , Chowdhary, Vaidehi , Hersh, Aimee O. , Jules, Marimee, Kalunian, Kenneth , Smith, Benjamin J. , Smith, Natalie, Thomas, Asha , Timlin, Homa , Cunha, Joanne S., DeQuattro, Kimberly , Gomes, Laís Lopes Almeida , Iyer, Priyanka , Johannemann, Andrew, Jorge, April , Kasturi, S.Psi. Taufik , Khawandi, Jana , Legge, Alexandra , Liang, Kimberly P. , Lockwood, Megan M. , Sánchez-Rodríguez, Alain , Turgunbaev, Marat, Williams, Jessica N. , Turner, Amy S. , Aranow, Cynthia , Barnado, April , Brunner, Hermine I , Chong, Benjamin F , Hersh, Aimee O , Rubinstein, Tamar B , Smith, Benjamin J , Wallace, Daniel J , Bartels, Christie M , DeQuattro, Kimberly , Figueroa-Parra, Gabriel , Garg, Shivani , Gomes, Lais Lopes Almeida , Cuéllar-Gutiérrez, María C, Jorge, April , Kasturi, Shanthini , Kawtharany, Hassan , Liang, Kimberly P , Lockwood, Megan M , Sanchez-Rodriguez, Alain , Williams, Jessica N , Turner, Amy S , Duarte-García, Alí , Sammaritano, Lisa R , Askanase, Anca , Bermas, Bonnie , Son, Mary Beth F. , Werth, Victoria P. , Chong, Benjamin F. , Izmirly, Peter , Kamen, Diane L. , Thomas, Asha, Azzam, Muayad , Bartels, Christie M. , Fava, Andrea , Figueroa‐Parra, Gabriel , Garg, Shivani , Cuéllar‐Gutiérrez, María C. , Kawtharany, Hassan , Mustafa, Reem A

Arthritis Care & Research | November 3, 2025 | Volume: 78 | Issue: 7 | Pages: 815-839

10.1002/acr.25690 | PMID 41182321 Get It

Objective To provide evidence‐based and expert guidance for the treatment and management of non‐renal systemic lupus erythematosus (SLE); treatment and management of lupus nephritis are addressed in a separate guideline. Methods Clinical questions for treatment and management of SLE were developed in the PICO format (population, intervention, comparator, and outcome). Systematic literature reviews were developed for each PICO question, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology was used to assess evidence quality and formulate recommendations. The Voting Panel achieved a consensus of ≥70% agreement on the direction (for or against) and strength (strong or conditional) of each recommendation. Results We present recommendations and ungraded, consensus‐based good practice statements for the treatment and management of SLE that are applicable to pediatric and adult patients. Recommendations emphasize uniform treatment with hydroxychloroquine, limiting duration of glucocorticoid use, and early introduction of conventional and/or biologic immunosuppressive therapies to achieve and maintain control of SLE inflammation (remission or a low level of disease activity), reduce SLE‐related morbidity and mortality, and minimize medication‐related toxicities. Conclusion This guideline presents direction regarding treatment and management of SLE and provides a foundation for well‐informed, shared clinician–patient decision‐making. These recommendations should not be used to limit or deny access to therapies, as treatment decisions may vary due to the unique clinical situation and personal preferences of each person with SLE.
Threshold-Based Overlap of Breast Cancer High-Risk Classification Using Family History, Polygenic Risk Scores, and Traditional Risk Models in 180,398 Women
Ho, Peh Joo , Loo, Christine Kim Yan , Lim, Ryan Jak Yang, Goh, Mui Heng, Abubakar, Mustapha , Ahearn, Thomas U. , Andrulis, Irene L. , Antonenkova, Natalia, Aronson, Kristan J. , Augustinsson, Annelie , Behrens, Sabine , Bodelón, Clara , Bogdanova, Natalia , Bolla, Manjeet K. , Brantley, Kristen D. , Brenner, Hermann , Byers, Helen L., Camp, Nicola J. , Cessna, Melissa H., Chang-Claude, Jenny, Choi, Ji-Yeob , Czene, Kamila , Dörk, Thilo , Eliassen, A. Heather , Engel, Christoph , Eriksson, Mikael , Evans, D. Gareth , Fritschi, Lin , Genkinger, Jeanine M. , Geurts-Giele, Willemina R.R. , Glendon, Gord, Hall, Per , Hamann, U. , Ho, Cecilia Y.S., Hooning, Maartje J. , Hoppe, Reiner , Humphreys, Keith , Ito, Hidemi , Jakubowska, Anna , Jernström, Helena , John, Esther M. , Johnson, Nichola , Kang, Daehee , Kim, Sung‐Won , Kitahara, Cari M. , Ko, Yon-Dschun, Kraft, Peter, Kwong, Ava , Lambrechts, Diether, Larsson, Susanna C. , Li, Shuai , Lindblom, Annika , Linet, Martha, Lissowska, Jolanta , Lophatananon, Artitaya , MacInnis, Robert J. , Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Matsuo, Keitaro , Michailidou, Kyriaki , Taib, Nur Aishah Mohd , Murphy, Rachel A. , Newman, William G. , Obi, Nadia , Olopade, Olufunmilayo I., Panayiotidis, Mihalis I. , Park, Sue K. , Park‐Simon, Tjoung‐Won , Patel, Alpa V , Peterlongo, Paolo , Plaseska‐Karanfilska, Dijana , Pylkäs, Katri , Rashid, Muhammad Usman , Rodríguez, Juan , Sandler, Dale P. , Sawyer, Elinor J. , Scott, Christopher G. , Shahi, Shamim , Shu, Xiao‐Ou , Shulman, Katerina, Simard, Jacques , Southey, Melissa C., Stone, Jennifer , Taylor, Jack A. , Teo, Soo‐Hwang , Teras, Lauren R. , Vachon, Celine M., Houdt, Maxime Van , Verhoeven, Jelle , Weinberg, Clarice R. , Wolk, Alicja , Yamaji, Taiki , Yip, Cheng Har , Zheng, Wei , Hartman, Mikael , Li, Jingmei , Investigators, on behalf of the ABCTB, Investigators, kConFab, Investigators, MyBrCa, Investigators, SGBCC, Olopade, Olufunmilayo I. , Lambrechts, Diether , Lambrechts, Diether , Hamann, Ute , Hooning, Maartje J. , Bogdanova, Natalia V , Czene, Kamila , Dörk, Thilo , Eliassen, A Heather , Engel, Christoph , Eriksson, Mikael , Evans, D Gareth , Fletcher, Olivia , Fritschi, Lin , Genkinger, Jeanine , Hall, Per N , Ho, Cecilia Y S , Humphreys, Keith , Ito, Hidemi , Jakubowska, Anna , Jernström, Helena , Johnson, Nichola , Kim, Sung-Won , Kitahara, Cari M , Kwong, Ava , Larsson, Susanna C , Li, Shuai , Lindblom, Annika , Lissowska, Jolanta , Lophatananon, Artitaya , Maclnnis, Robert , Matsuo, Keitaro , Michailidou, Kyriaki , Mohd Taib, Nur Aishah , Murphy, Rachel A , Newman, William G , Obi, Nadia , Panayiotidis, Mihalis I , Park, Sue K , Park-Simon, Tjoung-Won , Peterlongo, Paolo , Plaseska-Karanfilska, Dijana , Pylkäs, Katri , Rashid, Muhammad U , Rennert, Gad , Rodriguez, Juan , Sandler, Dale P , Sawyer, Elinor J , Scott, Christopher , Shu, Xiao-Ou , Simard, Jacques , Stone, Jennifer , Taylor, Jack A , Teo, Soo H , Teras, Lauren R , Houdt, Maxime Van , Verhoeven, Jelle , Weinberg, Clarice R , Wolk, Alicja , Zheng, Wei , Hartman, Mikael , Li, Jingmei , Lambrechts, Diether , Behrens, Sabine , John, Esther M , Olopade, Olufunmilayo I , Lambrechts, Diether , Augustinsson, Annelie , Brenner, Hermann , Camp, Nicola J , Brantley, Kristen D , Lim, Ryan Jak Yang, Byers, Helen, Castelao, Jose E. , Chang‐Claude, Jenny , Chanock, Stephen Jacob , Chenevix‐Trench, Georgia , Colonna, Sarah V. , Daly, Mary Beryl , Derouane, Françoise , Fletcher, Olivia , Gago-Domínguez, Manuela , Ho, Weang-Kee , Howell, Anthony , Iwasaki, Motoki , Ko, Yon‐Dschun, Mannermaa, Arto , Manoukian, Siranoush , Margolin, Sara , Milne, Roger L. , Muir, Kenneth , O’Brien, Katie M. , Rennert, Gad , Saloustros, Emmanouil , Southey, Melissa C. , Terry, Mary Beth , Torres, Diana , Investigators, on behalf of the ABCTB, Investigators, kConFab, Investigators, MyBrCa, Investigators, SGBCC

Cancers | November 3, 2025 | Volume: 17 | Issue: 21 | Pages: 3561

10.3390/cancers17213561 | PMID 41228354 Get It

Background: Breast cancer polygenic risk scores (PRS) and traditional risk models (e.g., the Gail model [Gail]) are known to contribute largely independent information, but it is unclear how the overlap varies by ancestry, age, disease type (invasive breast cancer, DCIS), and risk threshold. Methods: In a retrospective case–control study, we evaluated risk prediction performance in 180,398 women (161,849 of European ancestry; 18,549 of Asian ancestry). Odds ratios (ORs) from logistic regression models and the area under the receiver operating characteristic curve (AUC) were estimated. Results: PRS for invasive disease showed a stronger association in younger (<50 years) women (OR = 2.51, AUC = 0.622) than in women ≥ 50 years (OR = 2.06, AUC = 0.653) of European ancestry. PRS performance in Asians was lower (OR range = 1.62–1.64, AUC = 0.551–0.600). Gail performance was modest across groups and poor in younger Asian women (OR = 0.94–0.99, AUC = 0.523–0.533). Age interactions were observed for both PRS (p < 0.001) and Gail (p < 0.001) in Europeans, whereas in Asians, age interaction was observed only for Gail (invasive: p < 0.001; DCIS: p = 0.002). PRS identified more high-risk individuals than Gail in Asian populations, especially ≥50 years, while Gail identified more in Europeans. Overlap between PRS, Gail, and family history was limited at higher thresholds. Calibration analysis, comparing empirical and model-based ROC curves, showed divergence for both PRS and Gail (p < 0.001), which indicates miscalibration. In Europeans, family history and prior biopsies drove Gail discrimination. In younger Asians, age at first live birth was influential. Conclusions: PRS adds value to risk stratification beyond traditional tools, especially in younger women and Asian ancestry populations.
Cell-of-Origin Subtype Predicts Response to Polatuzumab Vedotin in Large B-cell Lymphoma
Cliff, Edward R. Scheffer , Pelaez, Guido D. , Wan, Fei , Iyengar, Varun , Zhou, Jihao , Chung, Kevin , Abdel-Razeq, Nayef , Allen, J. , Major, Ajay , Sharp, John , Gould, Patrick , Houshyar, Samin , Lynch, Ryan C. , Fleyshman, Michelle , Kidwell, Adam , Fenske, Timothy S. , Malakhov, Nikita , Mulvey, Erin , Nowakowski, Grzegorz S. , Torka, Pallawi , Russler‐Germain, David A. , Allen, Jessica , Epperla, Narendranath , Gould, Patrick , Cherng, Hua-Jay J , Houshyar, Samin , Wallace, Danielle S , Lynch, Ryan C , Kallam, Avyakta , Mei, Matthew , Merryman, Reid W , Fleyshman, Michelle , Rhodes, Joanna , Kidwell, Adam , Fenske, Timothy S , Malakhov, Nikita , Mulvey, Erin , Watkins, Marcus , Moustafa, Muhamad Alhaj , Hilal, Talal , Nowakowski, Grzegorz S , Wang, Yucai , Torka, Pallawi , Russler-Germain, David A , Major, Ajay , Sharp, John , Zhou, Jihao , Epperla, Narendranath , Cherng, Hua‐Jay J. , Wallace, Danielle , Kallam, Avyakta , Mei, Matthew , Merryman, Reid W. , Rhodes, Joanna , Watkins, Marcus P. , Moustafa, Muhamad Alhaj , Hilal, Talal , Wang, Yucai

Clinical Cancer Research | October 27, 2025 | Volume: 32 | Issue: 1 | Pages: 159-168

10.1158/1078-0432.ccr-25-2392 | PMID 41143601 Get It

Abstract Purpose: Polatuzumab vedotin (polatuzumab) was approved for up-front treatment of diffuse large B-cell lymphoma in combination with chemoimmunotherapy (Pola-R-CHP) based on the POLARIX trial. However, when stratified by cell of origin (COO), polatuzumab seems to have greater efficacy in activated B-cell than germinal center B-cell (GCB) subtype disease. Most studies of polatuzumab used RNA expression to assess COO, whereas in routine clinical practice, the immunohistochemistry-based Hans algorithm is used. Experimental Design: To assess the impact of COO by immunohistochemistry on polatuzumab efficacy, we conducted a multicenter real-world study of adults with large B-cell lymphoma (LBCL) receiving polatuzumab from 2015 to 2024, split by receipt of polatuzumab in first-line versus relapsed/refractory settings. The primary endpoint was overall response rate (ORR) to polatuzumab-based treatment in GCB versus non-GCB relapsed/refractory LBCL. Results: Of 740 patients, 305 received polatuzumab in the first-line setting and 435 in the relapsed/refractory setting. In the relapsed/refractory cohort, the ORR in non-GCB versus GCB LBCL was 59.7% versus 36.3% [OR, 2.6; 95% confidence interval (CI), 1.77–3.84; P &lt; 0.0001], with a complete response rate of 35.7% versus 17.7% (OR, 2.6; 95% CI, 1.66–4.02; P &lt; 0.0001). Progression-free survival was longer for patients with non-GCB versus GCB COO (HR, 0.64; 95% CI, 0.5–0.83; P = 0.0006). In the first-line cohort, ORR, complete response rate, and progression-free survival were similar in non-GCB versus GCB LBCL, as hypothesized based on outcomes in the Pola-R-CHP arm of POLARIX, suggesting that the addition of polatuzumab overcomes the adverse risk of non-GCB COO in patients receiving R-CHOP. Conclusions: Based on these data, COO classification by the Hans algorithm is a strong predictor of polatuzumab efficacy in LBCL, informing real-world treatment decisions.
Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights
Colbert, Sarah M. C. , Koromina, Maria, Hatoum, Alexander S, Stephenson, Mallory, Edwards, Alexis C, Johnson, Emma C, Qin, Xuejun, Shabalin, Andrey A, Ito, Lucas T, O’Connell, Kevin S, Harder, Arvid, Hjerling-Leffler, Jens, Kim, Min Ji, Otsuka, Ikuo, Vilar-Ribó, Laura, Agrawal, Arpana, Alda, Martin, Alfredsson, Lars, Aliev, Fazil, Andlauer, Till FM, Arango, Celso, Arntz, Arnoud, Awasthi, Swapnil, Ayinde, Olatunde O, Bacanu, Silviu-Alin, Barr, Peter B, Bau, Claiton HD, Baune, Bernhard T, Beckham, Jean C, Bejan, Cosmin A, Belangero, Sintia, Berger, Klaus, Biernacka, Joanna M, Bogdan, Ryan, Boomsma, Dorret I, Børglum, Anders D, Bourassa, Kyle J, Braff, David L, Braun, Alice, Bressan, Rodrigo A, Brueckl, Tanja M, Budde, Monika, Cabrera-Mendoza, Brenda, Carpiniello, Bernardo, Ceja, Zuriel, Cervilla, Jorge A, Chang, Chiao-Erh, Chaumette, Boris, Cheon, Myeong Jae, Cichon, Sven, Coleman, Jonathan RI, Coon, Hilary, Copeland, William E, Czamara, Darina, Dalkner, Nina, Dannlowski, Udo, David, Friederike S, Demontis, Ditte, Florio, Arianna Di, Diaconu, Carmen C, Dick, Danielle M, Dikeos, Dimitris, Djurovic, Srdjan, Edenberg, Howard J, Erlangsen, Annette, Euler, Sebastian, Falkai, Peter, Fanelli, Giuseppe, Fellendorf, Frederike T, Ferentinos, Panagiotis, Fernandez-Aranda, Fernando, Forstner, Andreas J, Frei, Oleksandr, Fries, Gabriel R, Fullerton, Janice M, Gaine, Marie E, Galfalvy, Hanga C, Galimberti, Marco, Garcia-Aymerich, Judith, Garrett, Melanie E, Gawlik, Micha, Gelernter, Joel, Gordon-Smith, Katherine, Gorelik, Aaron J, Gorwood, Philip, Grabe, Hans J, Green, Melissa J, Grigoroiu-Serbanescu, Maria, Gupta, Priya, Gutiérrez, Blanca, Guzman-Parra, Jose, Han, Seonggyun, Haram, Marit, Hauser, Elizabeth R, Heilbronner, Urs, Herpertz, Sabine C, Herrera-Imbroda, Jesús, Hesselbrock, Victor M, Hishimoto, Akitoyo, Holla, Bharath, Izotova, Anastasia, Jang, Yoonjeong, Jimenez-Murcia, Susana, Jones, Lisa A, Jonsson, Lina, Kang, JooEun, Kang, Joon Ho, Keel, Pamela K, Kim, Jaeyoung, Kim, Dongjun, Kircher, Tilo, Kirov, George, Kraft, Julia, Kramer, John, Kranzler, Henry R, Kuo, Po-Hsiu, Kurvits, Siim, Lai, Dongbing, Lake, Marilyn T, Landén, Mikael, Lannoy, Séverine, Law, Matthew H, Lee, Byung-Chul, Lee, Young Kee, Lehto, Kelli, Levey, Daniel F, Lewis, Cathryn M, Li, Qingqin S, Liao, Calwing, Lind, Penelope A, Lochner, Christine, Lori, Adriana, Maes, Hermine HM, Mahadevan, Jayant, Manchia, Mirko, Mars, Becky, Martin, Nicholas G, Martorell, Lourdes, McIntosh, Andrew M, McMain, Shelley F, McQuillin, Andrew, Medland, Sarah E, Mitchell, Philip B, Molina, Esther, Monson, Eric T, Mufford, Mary S, Muntané, Gerard, Musil, Richard, Myung, Woojae, Neagu, Ana Iulia, Nielsen, Trine T, Nöthen, Markus M, Nunez, Yaira Z, Nurnberger, John I, Okazaki, Satoshi, Olsen, Catherine M, Ophoff, Roel A, Owen, Michael J, Pan, Pedro M, Papiol, Sergi, Pascual, Juan C, Patrinos, George P, Pawlak, Joanna M, Penninx, Brenda WJH, Pérez-Gutiérrez, Ana M, Perroud, Nader, Peterson, Roseann E, Pisanu, Claudia, Pistis, Giorgio, Porjesz, Bernice, Posthuma, Danielle, Powers, Abigail, Preisig, Martin, Purushottam, Meera, Reif, Andreas, Reininghaus, Eva Z, Rentería, Miguel E, Ripke, Stephan, Ripperger, Michael A, Rivera, Margarita, Roberts, Emily K, Roberts, Gloria, Rødevand, Linn, Roepke, Stefan, Rovaris, Diego L, Salum, Giovanni A, Sanders, Alan R, Santoro, Marcos L, Sawyers, Chelsea, Scherer, Stephen W, Schilling, Claudia, Schmahl, Christian, Schofield, Peter R, Schulze, Thomas G, Scott, Laura J, Serretti, Alessandro, Shadrin, Alexey, Shirai, Toshiyuki, Smeland, Olav B, Smoller, Jordan W, Sokolowski, Marcus, Sonuga-Barke, Edmund J, Squassina, Alessio, Starnawska, Anna, Steen, Nils Eiel, Stein, Dan J, Stein, Frederike, Stein, Murray B, Streit, Fabian, Sud, Reeteka, Sullivan, Patrick F, Terao, Chikashi, Toma, Claudio, Tondo, Leonardo, Turecki, Gustavo, Uher, Rudolf, Ursano, Robert J, Auwera, Sandra Van der, Vawter, Marquis P, Paska, Alja Videtic, Vilella, Elisabet, Vincent, John B, Viswanath, Biju, Vladimirov, Vladimir, Wasserman, Danuta E, Weickert, Thomas W, Whiteman, David C, Willour, Virginia L, Wiström, Erik D, Witt, Stephanie H, Won, Hong-Hee, Wootton, Robyn E, Zai, Clement C, Zhang, Jian, Zillich, Lea, MGL, CVEDA and, Andreassen, Ole A, Palmer, Abraham A, Sanchez-Roige, Sandra, Mann, J John, Kimbrel, Nathan A, Ashley-Koch, Allison E, Docherty, Anna R. , Mullins, Niamh , Roberts, Gloria , Pisanu, Claudia , Holla, Bharath , Fanelli, Giuseppe , Ruderfer, Douglas , Docherty, Anna R , Mullins, Niamh , Pisanu, Claudia , Koromina, Maria, Hatoum, Alexander S, Stephenson, Mallory, Edwards, Alexis C, Johnson, Emma C, Qin, Xuejun, Shabalin, Andrey A, Ito, Lucas T, O’Connell, Kevin S, Harder, Arvid, Hjerling-Leffler, Jens, Kim, Min Ji, Otsuka, Ikuo, Vilar-Ribó, Laura, Agrawal, Arpana, Alda, Martin, Alfredsson, Lars, Aliev, Fazil, Andlauer, Till FM, Arango, Celso, Arntz, Arnoud R. , Awasthi, Swapnil, Ayinde, Olatunde O, Bacanu, Silviu-Alin, Barr, Peter B, Bau, Claiton HD, Baune, Bernhard T, Beckham, Jean C, Bejan, Cosmin A, Belangero, Sintia, Berger, Klaus, Biernacka, Joanna M, Bogdan, Ryan, Boomsma, Dorret I , Børglum, Anders D, Bourassa, Kyle J, Braff, David L, Braun, Alice, Bressan, Rodrigo A, Brueckl, Tanja M, Budde, Monika, Cabrera-Mendoza, Brenda, Carpiniello, Bernardo, Ceja, Zuriel, Cervilla, Jorge A, Chang, Chiao-Erh, Chaumette, Boris , Cheon, Myeong Jae, Cichon, Sven, Coleman, Jonathan RI, Coon, Hilary, Copeland, William E, Czamara, Darina, Dalkner, Nina, Dannlowski, Udo, David, Friederike S, Demontis, Ditte, Florio, Arianna Di, Diaconu, Carmen C, Dick, Danielle M, Dikeos, Dimitris, Djurovic, Srdjan, Edenberg, Howard J, Erlangsen, Annette , Euler, Sebastian, Falkai, Peter , Fellendorf, Frederike T, Ferentinos, Panagiotis, Fernandez-Aranda, Fernando, Forstner, Andreas J, Frei, Oleksandr, Fries, Gabriel R, Fullerton, Janice M, Gaine, Marie E, Galfalvy, Hanga C, Galimberti, Marco, Garcia-Aymerich, Judith, Garrett, Melanie E, Gawlik, Micha, Gelernter, Joel, Gordon-Smith, Katherine, Gorelik, Aaron J, Gorwood, Philip , Grabe, Hans J, Green, Melissa J, Grigoroiu-Serbanescu, Maria, Gupta, Priya, Gutiérrez, Blanca, Guzman-Parra, Jose, Han, Seonggyun, Haram, Marit, Hauser, Elizabeth R, Heilbronner, Urs , Herpertz, Sabine C, Herrera-Imbroda, Jesús, Hesselbrock, Victor M, Hishimoto, Akitoyo, Izotova, Anastasia, Jang, Yoonjeong, Jimenez-Murcia, Susana, Jones, Lisa A, Jonsson, Lina, Kang, JooEun, Kang, Joon Ho, Keel, Pamela K, Kim, Jaeyoung, Kim, Dongjun, Kircher, Tilo, Kirov, George, Kraft, Julia, Kramer, John, Kranzler, Henry R, Kuo, Po-Hsiu, Kurvits, Siim, Lai, Dongbing, Lake, Marilyn T, Landén, Mikael, Lannoy, Séverine, Law, Matthew H, Lee, Byung-Chul, Lee, Young Kee, Lehto, Kelli, Levey, Daniel F, Lewis, Cathryn M, Li, Qingqin S, Liao, Calwing, Lind, Penelope A, Lochner, Christine, Lori, Adriana, Maes, Hermine HM, Mahadevan, Jayant, Manchia, Mirko, Mars, Becky, Martin, Nicholas G, Martorell, Lourdes, McIntosh, Andrew M, McMain, Shelley F, McQuillin, Andrew, Medland, Sarah E, Mitchell, Philip B, Molina, Esther, Monson, Eric T, Mufford, Mary Sophia , Muntané, Gerard, Musil, Richard, Myung, Woojae, Neagu, Ana Iulia, Nielsen, Trine T, Nöthen, Markus M, Nunez, Yaira Z, Nurnberger, John I, Okazaki, Satoshi, Olsen, Catherine M, Ophoff, Roel A. , Owen, Michael J, Pan, Pedro M, Papiol, Sergi, Pascual, Juan C, Patrinos, George P, Pawlak, Joanna M, Penninx, Brenda WJH, Pérez-Gutiérrez, Ana M, Perroud, Nader, Peterson, Roseann E, Pistis, Giorgio, Porjesz, Bernice, Posthuma, Danielle, Powers, Abigail, Preisig, Martin, Purushottam, Meera, Reif, Andreas, Reininghaus, Eva Z, Rentería, Miguel E, Ripke, Stephan, Ripperger, Michael A, Rivera, Margarita, Roberts, Emily K, Roberts, Gloria, Rødevand, Linn, Roepke, Stefan, Rovaris, Diego L, Salum, Giovanni A, Sanders, Alan R, Santoro, Marcos L, Sawyers, Chelsea, Scherer, Stephen W, Schilling, Claudia, Schmahl, Christian, Schofield, Peter R, Schulze, Thomas , Scott, Laura J, Serretti, Alessandro, Shadrin, Alexey, Shirai, Toshiyuki, Smeland, Olav B, Smoller, Jordan W, Sokolowski, Marcus , Sonuga-Barke, Edmund J, Squassina, Alessio, Starnawska, Anna, Steen, Nils Eiel, Stein, Dan J, Stein, Frederike, Stein, Murray B, Streit, Fabian, Sud, Reeteka, Sullivan, Patrick F, Terao, Chikashi, Toma, Claudio, Tondo, Leonardo, Turecki, Gustavo, Uher, Rudolf, Ursano, Robert J, Auwera, Sandra Van der, Vawter, Marquis P, Paska, Alja Videtic, Vilella, Elisabet, Vincent, John B, Viswanath, Biju, Vladimirov, Vladimir, Wasserman, Danuta E, Weickert, Thomas W, Whiteman, David C, Willour, Virginia L, Wiström, Erik D, Witt, Stephanie H, Won, Hong-Hee, Wootton, Robyn E, Zai, Clement C, Zhang, Jian, Zillich, Lea, MGL, CVEDA and, Andreassen, Ole A, Palmer, Abraham A, Sanchez-Roige, Sandra, Mann, J John, Kimbrel, Nathan A, Ashley-Koch, Allison E

No container title available | October 23, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.10.22.25338076 | PMID 41282879 Get It

ABSTRACT Suicidality contributes substantially to global morbidity and mortality, yet despite its heritability, its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.
Acute Leukemias of Ambiguous Lineage With RUNX1 Mutations Show Similar Prognosis Compared to Acute Myeloid Leukemia With RUNX1 Mutations: A Study From the Bone Ma
Kirtek, Timothy , Chen, Weina , Harris, Jaryse , Bagg, Adam , Foucar, Kathryn , Tam, Wayne , Orazi, Attilio , Hasserjian, Robert P. , Wang, Sa A. , Ng, David P. , Reichard, Kaaren K. , Symes, Emily , Zhang, Xinmin , Weinberg, Olga K. , Kirtek, Timothy J , Wang, Sa A , Ng, David P , Shi, Min , Zhang, Xinmin , Arber, Daniel A , Orazi, Attilio , Hsi, Eric D. , George, Tracy I. , Arber, Daniel A.

American Journal of Hematology | October 18, 2025 | Volume: 101 | Issue: 1 | Pages: 70-78

10.1002/ajh.70116 | PMID 41108621 Get It

ABSTRACT The World Health Organization (WHO) 5th Edition and International Consensus Classification (ICC) have continued to delineate more genetically defined acute leukemias. Both recognize genetic aberrations associated with myelodysplastic syndromes/neoplasms (MDS) as defining MDS‐related AML (AML‐MR). Mutations in RUNX1 are included in this category in the ICC, but not WHO. The current classifications are unclear on how acute leukemias with ambiguous lineage (ALAL), including those of mixed lineage (MPAL) and those without a defined lineage (AUL), should be categorized in the presence of such mutations. Our multi‐institutional study aims to determine the significance of RUNX1 mutation in ALAL compared to de novo AML. Newly diagnosed MPAL, AUL, and AML with RUNX1 mutations were collected. ALAL with MDS‐related cytogenetics, BCR::ABL1 , KMT2A rearrangements, or ZNF384 or BCL11b abnormalities were excluded. We analyzed 17 cases of ALAL and 71 cases of AML that met inclusion criteria. ALAL‐ RUNX1 and AML‐ RUNX1 showed overlapping mutational landscapes with frequent comutations in MDS‐associated genes. No ALAL‐ RUNX1 or AML‐ RUNX1 cases showed concomitant TP53 mutation. ALAL‐ RUNX1 had more bone marrow blasts and more karyotypic abnormalities; however, neither impacted survival, nor did RUNX1 variant allele frequency (VAF). Survival analysis revealed similarly poor outcomes between them. AML‐directed therapies and allogeneic hematopoietic stem cell transplant trended toward improved survival in ALAL‐ RUNX1; however, it did not reach significance. Our results suggest ALAL‐ RUNX1 is associated with younger age, higher blasts, and more karyotypic abnormalities, but has similar clinical and genetic features and outcomes to AML‐ RUNX1 . Our findings suggest, like other MR mutations, RUNX1 ‐mutated ALALs should be included within AML‐MR.