Chief, Biostatistics & Computational Biology Branch and Principal Investigator
Deputy Chief, Biostatistics & Computational Biology Branch and Principal Investigator
Research Summary The Biostatistics and Computational Biology Branch carries out basic and applied research dealing with statistical issues of relevance to environmental health. The branch's members develop new methodologies and apply existing techniques in novel ways to address environmental health problems. Members of the branch also advise institute scientists on computational, study design, database and statistical issues via both long-term and short-term collaboration in research projects throughout NIEHS. The branch also offers training at regular intervals.
Research in the Biostatistics and Computational Biology Branch focuses on several areas:
Design and analysis of laboratory animal toxicology/carcinogenicity experiments and development of improved statistical methods Application and development of methodology for epidemiological and clinical human studies Application and development of new bioinformatics techniques for harvesting information from high-dimensional genomic, gene expression and proteomic data Development of new design and analysis approaches in statistical genetics Development of broadly applicable statistical approaches
Biostatistics & Computational Biology Branch Software
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Software to access the data or computer instructions developed by members of the NIEHS Biostatistics & Computational Biology Branch.
Recent Publications
Ho P, Loo C, Lim R, Goh M, Abubakar M, Ahearn T, Andrulis I, Antonenkova N, Aronson K, Augustinsson A, Behrens S, Bodelon C, Bogdanova N, Bolla M, Brantley K, Brenner H, Byers H, Camp N, Castelao J, Cessna M, Chang-Claude J, Chanock S, Chenevix-Trench G, Choi J, Colonna S, Czene K, Daly M, Derouane F, Dörk T, Eliassen A, Engel C, Eriksson M, Evans D, Fletcher O, Fritschi L, Gago-Dominguez M, Genkinger J, Geurts-Giele W, Glendon G, Hall P, Hamann U, Ho C, Ho W, Hooning M, Hoppe R, Howell A, Humphreys K, Ito H, Iwasaki M, Jakubowska A, Jernström H, John E, Johnson N, Kang D, Kim S, Kitahara C, Ko Y, Kraft P, Kwong A, Lambrechts D, Larsson S, Li S, Lindblom A, Linet M, Lissowska J, Lophatananon A, MacInnis R, Mannermaa A, Manoukian S, Margolin S, Matsuo K, Michailidou K, Milne R, Mohd Taib N, Muir K, Murphy R, Newman W, O'Brien K, Obi N, Olopade O, Panayiotidis M, Park S, Park-Simon T, Patel A, Peterlongo P, Plaseska-Karanfilska D, Pylkäs K, Rashid M, Rennert G, Rodriguez J, Saloustros E, Sandler D, Sawyer E, Scott C, Shahi S, Shu X, Shulman K, Simard J, Southey M, Stone J, Taylor J, Teo S, Teras L, Terry M, Torres D, Vachon C, Houdt M, Verhoeven J, Weinberg C, Wolk A, Yamaji T, Yip C, Zheng W, Hartman M, Li J, On Behalf Of The Abctb Investigators, kConFab Investigators, MyBrCa Investigators, Sgbcc Investigators. Threshold-Based Overlap of Breast Cancer High-Risk Classification Using Family History, Polygenic Risk Scores, and Traditional Risk Models in 180,398 Women.
Cancers .
2025 Nov 03;17(21):.
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AbstractHo P, Loo C, Lim R, Goh M, Abubakar M, Ahearn T, Andrulis I, Antonenkova N, Aronson K, Augustinsson A, Behrens S, Bodelon C, Bogdanova N, Bolla M, Brantley K, Brenner H, Byers H, Camp N, Castelao J, Cessna M, Chang-Claude J, Chanock S, Chenevix-Trench G, Choi J, Colonna S, Czene K, Daly M, Derouane F, Dörk T, Eliassen A, Engel C, Eriksson M, Evans D, Fletcher O, Fritschi L, Gago-Dominguez M, Genkinger J, Geurts-Giele W, Glendon G, Hall P, Hamann U, Ho C, Ho W, Hooning M, Hoppe R, Howell A, Humphreys K, Ito H, Iwasaki M, Jakubowska A, Jernström H, John E, Johnson N, Kang D, Kim S, Kitahara C, Ko Y, Kraft P, Kwong A, Lambrechts D, Larsson S, Li S, Lindblom A, Linet M, Lissowska J, Lophatananon A, MacInnis R, Mannermaa A, Manoukian S, Margolin S, Matsuo K, Michailidou K, Milne R, Mohd Taib N, Muir K, Murphy R, Newman W, O'Brien K, Obi N, Olopade O, Panayiotidis M, Park S, Park-Simon T, Patel A, Peterlongo P, Plaseska-Karanfilska D, Pylkäs K, Rashid M, Rennert G, Rodriguez J, Saloustros E, Sandler D, Sawyer E, Scott C, Shahi S, Shu X, Shulman K, Simard J, Southey M, Stone J, Taylor J, Teo S, Teras L, Terry M, Torres D, Vachon C, Houdt M, Verhoeven J, Weinberg C, Wolk A, Yamaji T, Yip C, Zheng W, Hartman M, Li J, On Behalf Of The Abctb Investigators, kConFab Investigators, MyBrCa Investigators, Sgbcc Investigators. Threshold-Based Overlap of Breast Cancer High-Risk Classification Using Family History, Polygenic Risk Scores, and Traditional Risk Models in 180,398 Women. Cancers. 2025 Nov 03
]
Daood N, Carey S, Chung E, Wang T, Kreutz A, Girireddy M, Chakravarti S, Kleinstreuer N, Tiley J, Aleksunes L, Zhu H. Machine Learning Modeling for ABC Transporter Efflux and Inhibition: Data Curation, Model Development, and New Compound Interaction Predictions.
Molecular pharmaceutics .
2025 Nov 03;22(11):7022-7035.
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AbstractDaood N, Carey S, Chung E, Wang T, Kreutz A, Girireddy M, Chakravarti S, Kleinstreuer N, Tiley J, Aleksunes L, Zhu H. Machine Learning Modeling for ABC Transporter Efflux and Inhibition: Data Curation, Model Development, and New Compound Interaction Predictions. Molecular pharmaceutics. 2025 Nov 03
]
Billaud A, Figlioli G, Mooser C, Casamassima I, Azzoni V, Srivatsa J, Colombo M, Caleca L, Ahearn T, Andrulis I, Antoniou A, Beckmann M, Behrens S, Bermisheva M, Bogdanova N, Bolla M, Bonanni B, Brüning T, Camp N, Campbell A, Castelao J, Cessna M, Chang-Claude J, NBCS Collaborators, Czene K, Dennis J, Devilee P, Dörk T, Dunning A, Eriksson M, Evans D, Fasching P, Figueroa J, Gabrielson M, Gago-Dominguez M, González-Neira A, Guénel P, Hadjisavvas A, Hahnen E, Hamann U, Hillemanns P, Hollestelle A, Hooning M, Hoppe R, Howell A, kConFab Investigators, Jakubowska A, Kristensen V, Lubiński J, Lush M, Manoukian S, Mavroudis D, Milne R, Mulligan A, Newman W, Obi N, Panayiotidis M, Pita G, Rashid M, Rhenius V, Saloustros E, Sawyer E, Schmutzler R, Shah M, Southey M, Spurdle A, Tomlinson I, Truong T, Wang Q, Wendt C, Auer P, Boddicker N, Bodelon C, Burnside E, Chen F, Couch F, Domchek S, Eliassen H, Haiman C, Hodge J, Hu C, Huang H, Lindstrom S, Martinez M, Nathanson K, Neuhausen S, O'Brien K, Olson J, Palmer J, Patel A, Ruddy K, Sandler D, Teras L, Weinberg C, Weitzel J, Winham S, Yadav S, Yao S, Zirpoli G, Janatova M, Kleibl Z, Kleiblova P, Soukupova J, CZECANCA consortium, Zhao Q, Devereux L, James P, Campbell I, Nguyen-Dumont T, Dowty J, Andrieu N, Lesueur F, Stoppa-Lyonnet D, GENESIS, Hoya M, Radice P, Sørensen C, Peterlongo P. Large-scale meta-analysis and precision functional assays identify FANCM regions in which PTVs confer different risks for ER-negative and triple-negative breast cancer.
Breast (Edinburgh, Scotland) .
2025 Oct 30;85:104619.
[
AbstractBillaud A, Figlioli G, Mooser C, Casamassima I, Azzoni V, Srivatsa J, Colombo M, Caleca L, Ahearn T, Andrulis I, Antoniou A, Beckmann M, Behrens S, Bermisheva M, Bogdanova N, Bolla M, Bonanni B, Brüning T, Camp N, Campbell A, Castelao J, Cessna M, Chang-Claude J, NBCS Collaborators, Czene K, Dennis J, Devilee P, Dörk T, Dunning A, Eriksson M, Evans D, Fasching P, Figueroa J, Gabrielson M, Gago-Dominguez M, González-Neira A, Guénel P, Hadjisavvas A, Hahnen E, Hamann U, Hillemanns P, Hollestelle A, Hooning M, Hoppe R, Howell A, kConFab Investigators, Jakubowska A, Kristensen V, Lubiński J, Lush M, Manoukian S, Mavroudis D, Milne R, Mulligan A, Newman W, Obi N, Panayiotidis M, Pita G, Rashid M, Rhenius V, Saloustros E, Sawyer E, Schmutzler R, Shah M, Southey M, Spurdle A, Tomlinson I, Truong T, Wang Q, Wendt C, Auer P, Boddicker N, Bodelon C, Burnside E, Chen F, Couch F, Domchek S, Eliassen H, Haiman C, Hodge J, Hu C, Huang H, Lindstrom S, Martinez M, Nathanson K, Neuhausen S, O'Brien K, Olson J, Palmer J, Patel A, Ruddy K, Sandler D, Teras L, Weinberg C, Weitzel J, Winham S, Yadav S, Yao S, Zirpoli G, Janatova M, Kleibl Z, Kleiblova P, Soukupova J, CZECANCA consortium, Zhao Q, Devereux L, James P, Campbell I, Nguyen-Dumont T, Dowty J, Andrieu N, Lesueur F, Stoppa-Lyonnet D, GENESIS, Hoya M, Radice P, Sørensen C, Peterlongo P. Large-scale meta-analysis and precision functional assays identify FANCM regions in which PTVs confer different risks for ER-negative and triple-negative breast cancer. Breast (Edinburgh, Scotland). 2025 Oct 30
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Kreutz A, Chang X, Lawless M, Proença S, Schaller S, Kleinstreuer N, Hogberg H. Comparison of physiologically based pharmacokinetic modeling platforms for developmental neurotoxicity in vitro to in vivo extrapolation.
Toxicological sciences : an official journal of the Society of Toxicology .
2025 Oct 27 [Epub ahead of print].
[
AbstractKreutz A, Chang X, Lawless M, Proença S, Schaller S, Kleinstreuer N, Hogberg H. Comparison of physiologically based pharmacokinetic modeling platforms for developmental neurotoxicity in vitro to in vivo extrapolation. Toxicological sciences : an official journal of the Society of Toxicology. 2025 Oct 27
]
O'Brien K, Keil A, Taylor J, Weinberg C, Polley E, Yadav S, Boddicker N, Hu C, Ambrosone C, Anton-Culver H, Auer P, Bodelon C, Brantley K, Burnside E, Chen F, Domchek S, Eliassen A, Haiman C, Hodge J, Kraft P, Lacey J, Lindstroem S, Martinez M, Nathanson K, Neuhausen S, Olson J, Palmer J, Patel A, Penney K, Ruddy K, Scott C, Teras L, Trentham-Dietz A, Vachon C, Weitzel J, Yao S, Zirpoli G, Couch F, Sandler D. Pathogenic Variants, Family History, and Cumulative Risk of Breast Cancer in US Women.
JAMA oncology .
2025 Oct 09 [Epub ahead of print].
[
AbstractO'Brien K, Keil A, Taylor J, Weinberg C, Polley E, Yadav S, Boddicker N, Hu C, Ambrosone C, Anton-Culver H, Auer P, Bodelon C, Brantley K, Burnside E, Chen F, Domchek S, Eliassen A, Haiman C, Hodge J, Kraft P, Lacey J, Lindstroem S, Martinez M, Nathanson K, Neuhausen S, Olson J, Palmer J, Patel A, Penney K, Ruddy K, Scott C, Teras L, Trentham-Dietz A, Vachon C, Weitzel J, Yao S, Zirpoli G, Couch F, Sandler D. Pathogenic Variants, Family History, and Cumulative Risk of Breast Cancer in US Women. JAMA oncology. 2025 Oct 09
]
More Recent Publications from PubMed
