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Co-Chief & Senior Investigator

Computational and Statistical Genomics Branch

Head

Statistical Genetics Section

Education

B.A. Western Maryland College, 1975

Ph.D. Indiana University, 1981

Biography

Joan E. Bailey-Wilson, Ph.D. is a senior investigator and co-chief of the Computational and Statistical Genomics Branch at the National Human Genome Research Institute, National Institutes of Health, United States, where she has been a faculty member since 1995. Her research program focuses on understanding the genetic factors that increase risk for various complex diseases and their interactions with environmental risk factors. Dr. Bailey-Wilson specializes in statistical genetics and genetic epidemiology and is especially interested in risk factors for lung cancer, prostate cancer, eye disorders, autism and oral clefts.

Dr. Bailey-Wilson received her B.A. magna cum laude in Biology from Western Maryland College (now McDaniel College) followed by her Ph.D. in medical genetics with a minor in biomathematics from Indiana University in 1981 under the direction of Joe C. Christian, M.D., Ph.D. She then completed post-doctoral training with Dr. Robert Elston in the Department of Biometry and Genetics, Louisiana State University Medical Center, and went on to achieve the rank of professor there, before leaving for NIH. She was appointed co-branch chief of the Inherited Disease Research Branch in 2006 and became co-chief of the Computational and Statistical Genomics Branch in 2014.

Dr. Bailey-Wilson is a diplomat of the American Board of Medical Genetics and a founding fellow of the American College of Medical Genetics. She has served on many scientific advisory boards including the Cancer Family Registry CFRCCS Advisory Board, the World Trade Center Kinship and Data Analysis Panel for the National Institute of Justice and the Genetic Analysis Workshop Advisory Board. She also served as a member of the International Genetic Epidemiology Society (IGES) Board of Directors (1999-2001), as IGES president-elect, president and past president (2006-2008) and as chair of the IGES Ethical, Legal and Social Issues committee.

Dr. Bailey-Wilson has received a number of awards and honors, including the Distinguished Alumnus Award from the Department of Medical Genetics, Indiana University School of Medicine (1995), the Trustee's Alumni Award from Western Maryland College (1998), the Leadership Award from the International Genetic Epidemiology Society (2006), induction as an alumni member into Phi Beta Kappa (2010) and the NHGRI Outstanding Mentor Award (2011).

  • Biography

    Joan E. Bailey-Wilson, Ph.D. is a senior investigator and co-chief of the Computational and Statistical Genomics Branch at the National Human Genome Research Institute, National Institutes of Health, United States, where she has been a faculty member since 1995. Her research program focuses on understanding the genetic factors that increase risk for various complex diseases and their interactions with environmental risk factors. Dr. Bailey-Wilson specializes in statistical genetics and genetic epidemiology and is especially interested in risk factors for lung cancer, prostate cancer, eye disorders, autism and oral clefts.

    Dr. Bailey-Wilson received her B.A. magna cum laude in Biology from Western Maryland College (now McDaniel College) followed by her Ph.D. in medical genetics with a minor in biomathematics from Indiana University in 1981 under the direction of Joe C. Christian, M.D., Ph.D. She then completed post-doctoral training with Dr. Robert Elston in the Department of Biometry and Genetics, Louisiana State University Medical Center, and went on to achieve the rank of professor there, before leaving for NIH. She was appointed co-branch chief of the Inherited Disease Research Branch in 2006 and became co-chief of the Computational and Statistical Genomics Branch in 2014.

    Dr. Bailey-Wilson is a diplomat of the American Board of Medical Genetics and a founding fellow of the American College of Medical Genetics. She has served on many scientific advisory boards including the Cancer Family Registry CFRCCS Advisory Board, the World Trade Center Kinship and Data Analysis Panel for the National Institute of Justice and the Genetic Analysis Workshop Advisory Board. She also served as a member of the International Genetic Epidemiology Society (IGES) Board of Directors (1999-2001), as IGES president-elect, president and past president (2006-2008) and as chair of the IGES Ethical, Legal and Social Issues committee.

    Dr. Bailey-Wilson has received a number of awards and honors, including the Distinguished Alumnus Award from the Department of Medical Genetics, Indiana University School of Medicine (1995), the Trustee's Alumni Award from Western Maryland College (1998), the Leadership Award from the International Genetic Epidemiology Society (2006), induction as an alumni member into Phi Beta Kappa (2010) and the NHGRI Outstanding Mentor Award (2011).

Scientific Summary

Dr. Bailey-Wilson, Head of the Statistical Genetics Section (SGS), is actively studying a range of diseases, including lung cancer, prostate cancer, myopia and other eye diseases, autism and cleft lip and palate. Trained in statistical genetics, she is interested in understanding the genetics of complex diseases and developing novel methodologies to disentangle the roles that genes and environment play in disease causation.

She has been particularly interested in lung cancer since the early 1980s, when very few scientists believed there might be a genetic link to the condition. Today, significantly more data support the idea that there are susceptibility alleles for one or more unknown genes that dramatically increase certain smokers' risk of developing lung cancer. In a collaboration called the Genetic Epidemiology of Lung Cancer Consortium (GELCC), Dr. Bailey-Wilson and others recently narrowed down the location of a potential lung-cancer gene to a region of chromosome 6, and showed that RGS17 is a tumor suppressor gene in this region that shows association with lung cancer risk in highly aggregated lung cancer families. With her collaborators, she is using dense genotyping panels and next-generation DNA sequencing in the GELCC's set of highly-aggregated lung cancer families, their family-history-positives cases, and age-gender-smoking matched controls to search for causal variants in additional lung cancer susceptibility loci.

Dr. Bailey-Wilson has used similar approaches to locate other cancer-related genes. For example, she and her collaborators published evidence that genes involved in prostate cancer reside on specific regions of chromosomes 1, 8, 17 and X. These findings have been replicated, and three candidate genes with rare variants that appear to increase prostate cancer risk have been cloned: RNASEL (HPC1), which encodes ribonuclease L, MSRI, which encodes the macrophage scavenger receptor 1 and HOXB13, which encodes the homeobox B13 protein. Dr. Bailey-Wilson is focusing on identifying additional susceptibility genes for these and other cancers in ongoing studies. At present, she is collaborating with the International Consortium for Prostate Cancer Genetics on a whole exome sequencing study of families with strong family history of prostate cancer and is the lead statistician on the study of the ICPCG's African-American families.

Dr. Bailey-Wilson is also applying these next-generation sequencing tools to her studies of highly aggregated non-syndromic oral cleft families from the Syrian Arab Republic (2 to 17 affected individuals per family) and to a set of multiplex autism spectrum disease families. In the autism study, a subset of families in which at least one child with autism also has abnormal cholesterol levels are of particular interest.

To keep pace with the analysis of the exponentially increasing number of genetic markers, Dr. Bailey-Wilson also develops and tests novel computational methods. Until relatively recently, fewer than 100 of these "signposts" along the genome had been identified. Now, there are millions of known markers and genome sequencing has drastically increased the number of variants to be analyzed in a single study. Her group is especially interested in using machine learning methods to detect causal variants that have limited or no marginal effects on risk of a disease but which do show strong interaction effects (with either other genetic variants or with environmental risk factors). She is also working to address the effects of linkage disequilibrium, or the nonrandom association of closely spaced loci, on genetic interaction tests and machine learning methods. Linkage disequilibrium can be caused by a low frequency of recombinations between two loci when they are very close together on a chromosome. The closer two loci are, the more likely they are to exhibit linkage disequilibrium. Thus, markers that are only 100 kb apart display significantly greater linkage disequilibrium than markers that are 100-5,000 kb apart. Because standard linkage analysis methods typically assume no linkage disequilibrium exists between loci, Dr. Bailey-Wilson's group has developed approaches to streamline these methods to study sets of dense genetic markers. She is using association methods that take advantage of linkage disequilibrium data, HapMap data, and the sequence of the human genome to determine the location of genetic loci that increase risk for various diseases. She has used these and other analytical methods to determine, for example, whether alleles at specific marker loci are transmitted along with a disease through generations in families with several affected members.

Dr. Bailey-Wilson has also used statistical methods to determine the marker alleles that people with a specific disease carry more frequently - and disease-free people carry less frequently - than can be explained by chance. This work has helped to greatly reduce the number of target regions that investigators need to search for potential disease-related genes. Her group is also developing approaches to mitigate the increased false-positive evidence of epistatic interaction that can be observed when strong LD exists between variants within a single genetic locus that all have a marginal effect on the trait.

  • Scientific Summary

    Dr. Bailey-Wilson, Head of the Statistical Genetics Section (SGS), is actively studying a range of diseases, including lung cancer, prostate cancer, myopia and other eye diseases, autism and cleft lip and palate. Trained in statistical genetics, she is interested in understanding the genetics of complex diseases and developing novel methodologies to disentangle the roles that genes and environment play in disease causation.

    She has been particularly interested in lung cancer since the early 1980s, when very few scientists believed there might be a genetic link to the condition. Today, significantly more data support the idea that there are susceptibility alleles for one or more unknown genes that dramatically increase certain smokers' risk of developing lung cancer. In a collaboration called the Genetic Epidemiology of Lung Cancer Consortium (GELCC), Dr. Bailey-Wilson and others recently narrowed down the location of a potential lung-cancer gene to a region of chromosome 6, and showed that RGS17 is a tumor suppressor gene in this region that shows association with lung cancer risk in highly aggregated lung cancer families. With her collaborators, she is using dense genotyping panels and next-generation DNA sequencing in the GELCC's set of highly-aggregated lung cancer families, their family-history-positives cases, and age-gender-smoking matched controls to search for causal variants in additional lung cancer susceptibility loci.

    Dr. Bailey-Wilson has used similar approaches to locate other cancer-related genes. For example, she and her collaborators published evidence that genes involved in prostate cancer reside on specific regions of chromosomes 1, 8, 17 and X. These findings have been replicated, and three candidate genes with rare variants that appear to increase prostate cancer risk have been cloned: RNASEL (HPC1), which encodes ribonuclease L, MSRI, which encodes the macrophage scavenger receptor 1 and HOXB13, which encodes the homeobox B13 protein. Dr. Bailey-Wilson is focusing on identifying additional susceptibility genes for these and other cancers in ongoing studies. At present, she is collaborating with the International Consortium for Prostate Cancer Genetics on a whole exome sequencing study of families with strong family history of prostate cancer and is the lead statistician on the study of the ICPCG's African-American families.

    Dr. Bailey-Wilson is also applying these next-generation sequencing tools to her studies of highly aggregated non-syndromic oral cleft families from the Syrian Arab Republic (2 to 17 affected individuals per family) and to a set of multiplex autism spectrum disease families. In the autism study, a subset of families in which at least one child with autism also has abnormal cholesterol levels are of particular interest.

    To keep pace with the analysis of the exponentially increasing number of genetic markers, Dr. Bailey-Wilson also develops and tests novel computational methods. Until relatively recently, fewer than 100 of these "signposts" along the genome had been identified. Now, there are millions of known markers and genome sequencing has drastically increased the number of variants to be analyzed in a single study. Her group is especially interested in using machine learning methods to detect causal variants that have limited or no marginal effects on risk of a disease but which do show strong interaction effects (with either other genetic variants or with environmental risk factors). She is also working to address the effects of linkage disequilibrium, or the nonrandom association of closely spaced loci, on genetic interaction tests and machine learning methods. Linkage disequilibrium can be caused by a low frequency of recombinations between two loci when they are very close together on a chromosome. The closer two loci are, the more likely they are to exhibit linkage disequilibrium. Thus, markers that are only 100 kb apart display significantly greater linkage disequilibrium than markers that are 100-5,000 kb apart. Because standard linkage analysis methods typically assume no linkage disequilibrium exists between loci, Dr. Bailey-Wilson's group has developed approaches to streamline these methods to study sets of dense genetic markers. She is using association methods that take advantage of linkage disequilibrium data, HapMap data, and the sequence of the human genome to determine the location of genetic loci that increase risk for various diseases. She has used these and other analytical methods to determine, for example, whether alleles at specific marker loci are transmitted along with a disease through generations in families with several affected members.

    Dr. Bailey-Wilson has also used statistical methods to determine the marker alleles that people with a specific disease carry more frequently - and disease-free people carry less frequently - than can be explained by chance. This work has helped to greatly reduce the number of target regions that investigators need to search for potential disease-related genes. Her group is also developing approaches to mitigate the increased false-positive evidence of epistatic interaction that can be observed when strong LD exists between variants within a single genetic locus that all have a marginal effect on the trait.

Publications

Sellers T.A., Bailey-Wilson J.E., Elston R.C., Wilson A.F., Ooi W.L., Rothschild H. Evidence for mendelian inheritance in the pathogenesis of lung cancer. J Nat Cancer Inst, 82:1272-1279. 1990. [PubMed]

Mandal DM, Wilson AF, Elston RC, Weissbecker K, Keats BJ, Bailey-Wilson JE. Effects of misspecification of allele frequencies on the Type I error rate of model-free linkage analysis. Hum Hered, 50:126-132. 2000. [PubMed]

Ho GYF, Bailey-Wilson JE. The transmission/disequilibrium test for linkage on the X chromosome. Am J Hum Genet, 66:1158-1160. 2000. [PubMed]

Bailey-Wilson J.E., Sorant A.J.M., Malley J.D., Presciuttini S., Redner R.A., Severini T.A., Badner J.A., Pajevic S., Jufer R., Baffoe-Bonnie A., Kao L., Doan B.Q., Goldstein J.L., Holmes T.N., Behnemann D., Mandal D.M., Turley T.N., Weissbecker K.A., O'Neill J., Pugh E.W. Comparison of novel and existing methods for detection of linkage disequilibrium using parent-child trios in the GAW12 genetic isolate simulated data. Genet Epidemiol, 21(Suppl 1):S378-383. 2001. [PubMed]

Carpten J, Nupponen N, Isaacs S, Sood R, Robbins C, Xu J, Faruque M, Moses T, Ewing C, Gillanders E, Hu P, Bujnovszky P, Makalowska I, Baffoe-Bonnie A, Faith D, Smith J, Stephan D, Wiley K, Brownstein M, Gildea D, Kelly B, Jenkins R, Hostetter G, Matikainen M, Schleutker J, Klinger K, Connors T, Xiang Y, Wang Z, De Marzo A, Papadopoulos N, Kallioniemi OP, Burk R, Meyers D, Grönberg H, Meltzer P, Silverman R, Bailey-Wilson J, Walsh P, Isaacs W, Trent J. Germline mutations in the ribonuclease L gene in families showing linkage with HPC1. Nat Genet, 30:181-184. 2002. [PubMed]

Bailey-Wilson J.E., Amos C.I., Pinney S.M., Petersen G.M., de Andrade M., Wiest J.S., Fain P., Schwartz A.G., You M., Franklin W., Klein C., Gazdar A., Rothschild H., Mandal D., Coons T., Slusser J., Lee J., Gaba C., Kupert E., Perez A., Zhou X., Zeng D., Liu Q., Zhang Q., Seminara D., Minna J., Anderson M.W. A major lung cancer susceptibility locus maps to chromosome 6q23-25. Am J Hum Genet, 75(3):460-74. 2004. [PubMed]

Stambolian D, Ibay G, Reider L, Dana D, Moy C, Schlifka M, Holmes T, Ciner E, Bailey-Wilson JE. Genomewide linkage scan for myopia susceptibility loci among Ashkenazi Jewish families shows evidence of linkage on chromosome 22q12. Am J Hum Genet, (3):448-59. 2004. [PubMed]

Baffoe-Bonnie AB, Smith JR, Stephan DA, Schleutker J, Carpten JD, Kainu T, Gillanders EM, Matikainen M, Teslovich TM, Tammela T, Sood R, Balshem AM, Scarborough SD, Xu J, William B. Isaacs WB, Trent JM, Kallioniemi O-P, Bailey-Wilson JE. A Major Locus for Hereditary Prostate Cancer in Finland: Localization by Linkage Disequilibrium of a Haplotype in the HPCX Region, Hum Genet, 117: 307-316. 2005. [PubMed]

Doan BQ, Frangakis CE, Shugart YY, Bailey-Wilson JE. Application of the propensity score in a covariate-based linkage analysis of the collaborative study on the genetics of alcoholism. BMC Genetics, 6(Suppl 1):S33. 2005. [PubMed]

Kim Y, Duggal P, Gillanders EM, Kim H, Bailey-Wilson JE. Examining the effect of linkage disequilib­rium between markers on the Type 1 error rate and power of nonparametric multipoint linkage analysis of two-generation and multigenerational pedigrees in the presence of missing genotype data. Genet Epidemiol, 32:41-51. 2008. [PubMed]

Duggal P, Gillanders EM, Holmes TN, Bailey-Wilson JE. Establishing an adjusted p-value threshold to control the family-wide type 1 error in genome wide association studies. BMC Genomics, 9:516. 2008. [PubMed]

Liu P, Vikis HG, Wang D, Lu Y, Wang Y, Schwartz AG, Pinney SM, Yang P, de Andrade M, Petersen GM, Wiest JS, Fain PR, Gazdar A, Gaba C, Rothschild H, Mandal D, Coons T, Lee J, Kupert E, Seminara D, Minna J, Bailey-Wilson JE, Wu X, Spitz MR, Eisen T, Houlston RS, Amos CI, Anderson MW, You M. Familial Aggregation of Common Sequence Variants on 15q24-25.1 in Lung Cancer. J Natl Cancer Inst, 100(18):1326-30. 2008. [PubMed]

You M, Wang D, Liu P, Vikis H, James M, Lu Y, Wang Y, Wang M, Chen Q, Jia D, Liu Y, Wen W, Yang P, Sun Z, Pinney SM, Zheng W, Shu XO, Long J, Gao YT, Xiang YB, Chow WH, Rothman N, Petersen GM, de Andrade M, Wu Y, Cunningham JM, Wiest JS, Fain PR, Schwartz AG, Girard L, Gazdar A, Gaba C, Rothschild H, Mandal D, Coons T, Lee J, Kupert E, Seminara D, Minna J, Bailey-Wilson JE, Amos CI, Anderson MW. Fine mapping of chromosome 6q23-25 region in familial lung cancer families reveals RGS17 as a likely candidate gene. Clin Cancer Res, 15(8):2666-74. 2009. [PubMed]

Amos CI, Pinney SM, Li Y, Kupert E, Lee J, de Andrade MA, Yang P, Schwartz AG, Fain PR, Gazdar A, Minna J, Wiest J, Zeng D, Rothschild H, Mandal D, You M, Coons T, Gaba C, Bailey-Wilson JE, Anderson MW. A susceptibility locus on chromosome 6q greatly increases lung cancer risk among light and never smokers. Cancer Res, 70:2359-2367. 2010. [PubMed]

Simpson CL*, Justice CM*, Krishnan M, Behneman D, Sung H, Cai J, Green T, Lewis D, Wojciechowski R, Wilson AF, Bailey-Wilson JE. Old lessons learned anew: Family-based methods for detecting genes responsible for quantitative and qualitative trait variation in the GAW 17 mini-exome sequence data. BMC Proceedings, 5(Suppl 9):S83. 2011. [PubMed]

Xu J, Lange EM, Lu L, Zheng SL, Wang Z, Thibodeau SN, Cannon-Albright LA, Teerlink CC, Camp NJ, Johnson AM, Zuhlke KA, Stanford JL, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Maier C, Luedeke M, Vogel W, Schleutker J, Wahlfors T, Tammela T, Schaid D, McDonnell SK, Derycke MS, Cancel-Tassin G, Cussenot O, Wiklund F, Grönberg H, Eeles R, Easton D, Kote-Jarai Z, Whittemore AS, Hsieh CL, Giles GG, Hopper JL, Severi G, Catalona WJ, Mandal D, Ledet E, Foulkes WD, Hamel N, Mahle L, Moller P, Powell I, Bailey-Wilson JE, Carpten JD, Seminara D, Cooney KA, Isaacs WB; International Consortium for Prostate Cancer Genetics. HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG). Hum Genet, 132(1):5-14. 2013. [PubMed]

Verhoeven VJ, Hysi PG, Wojciechowski R, Fan Q, Guggenheim JA, Höhn R, Macgregor S, Hewitt AW, Nag A, Cheng CY, Yonova-Doing E, Zhou X, Ikram MK, Buitendijk GH, McMahon G, Kemp JP, Pourcain BS, Simpson CL, Mäkelä KM, Lehtimäki T, Kähönen M, Paterson AD, Hosseini SM, Wong HS, Xu L, Jonas JB, Pärssinen O, Wedenoja J, Yip SP, Ho DW, Pang CP, Chen LJ, Burdon KP, Craig JE, Klein BE, Klein R, Haller T, Metspalu A, Khor CC, Tai ES, Aung T, Vithana E, Tay WT, Barathi VA; Consortium for Refractive Error and Myopia (CREAM), Chen P, Li R, Liao J, Zheng Y, Ong RT, Döring A; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Evans DM, Timpson NJ, Verkerk AJ, Meitinger T, Raitakari O, Hawthorne F, Spector TD, Karssen LC, Pirastu M, Murgia F, Ang W; Wellcome Trust Case Control Consortium 2 (WTCCC2), Mishra A, Montgomery GW, Pennell CE, Cumberland PM, Cotlarciuc I, Mitchell P, Wang JJ, Schache M, Janmahasathian S, Jr RP, Lass JH, Chew E, Iyengar SK; Fuchs' Genetics Multi-Center Study Group, Gorgels TG, Rudan I, Hayward C, Wright AF, Polasek O, Vatavuk Z, Wilson JF, Fleck B, Zeller T, Mirshahi A, Müller C, Uitterlinden AG, Rivadeneira F, Vingerling JR, Hofman A, Oostra BA, Amin N, Bergen AA, Teo YY, Rahi JS, Vitart V, Williams C, Baird PN, Wong TY, Oexle K, Pfeiffer N, Mackey DA, Young TL, van Duijn CM, Saw SM, Bailey-Wilson JE, Stambolian D, Klaver CC, Hammond CJ. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia. Nat Genet, 45(3):314-8. 2013. [PubMed]

Stambolian D, Wojciechowski R, Oexle K, Pirastu M, Li X, Raffel LJ, Cotch MF, Chew EY, Klein B, Klein R, Wong TY, Simpson CL, Klaver CC, van Duijn CM, Verhoeven VJ, Baird PN, Vitart V, Paterson AD, Mitchell P, Saw SM, Fossarello M, Kazmierkiewicz K, Murgia F, Portas L, Schache M, Richardson A, Xie J, Wang JJ, Rochtchina E; DCCT/EDIC Research Group, Viswanathan AC, Hayward C, Wright AF, Polasek O, Campbell H, Rudan I, Oostra BA, Uitterlinden AG, Hofman A, Rivadeneira F, Amin N, Karssen LC, Vingerling JR, Hosseini SM, Döring A, Bettecken T, Vatavuk Z, Gieger C, Wichmann HE, Wilson JF, Fleck B, Foster PJ, Topouzis F, McGuffin P, Sim X, Inouye M, Holliday EG, Attia J, Scott RJ, Rotter JI, Meitinger T, Bailey-Wilson JE. Meta-analysis of genome-wide association studies in five cohorts reveals common variants in RBFOX1, a regulator of tissue-specific splicing, associated with refractive error. Hum Mol Genet, 1;22(13):2754-64. [PubMed]

Dasgupta A, Szymczak S, Moore JH, Bailey-Wilson JE, Malley JD. Risk estimation using probability machines. BioData Min, 7(1):2. 2014. [PubMed]

Bureau A, Parker MM, Ruczinski I, Taub MA, Marazita ML, Murray JC, Mangold E, Noethen MM, Ludwig KU, Hetmanski JB, Bailey-Wilson JE, Cropp CD, Li Q, Szymczak S, Albacha-Hejazi H, Alqosayer K, Field LL, Wu-Chou YH, Doheny KF, Ling H, Scott AF, Beaty TH. Whole Exome Sequencing of Distant Relatives in Multiplex Families Implicates Rare Variants in Candidate Genes for Oral Clefts. Genetics, 197(3):1039-44. 2014. [PubMed]

Li Q, Wojciechowski R, Simpson CL, Hysi PG, Verhoeven VJ, Ikram MK, Höhn R, Vitart V, Hewitt AW, Oexle K, Mäkelä KM, MacGregor S, Pirastu M, Fan Q, Cheng CY, St Pourcain B, McMahon G, Kemp JP, Northstone K, Rahi JS, Cumberland PM, Martin NG, Sanfilippo PG, Lu Y, Wang YX, Hayward C, Polašek O, Campbell H, Bencic G, Wright AF, Wedenoja J, Zeller T, Schillert A, Mirshahi A, Lackner K, Yip SP, Yap MK, Ried JS, Gieger C, Murgia F, Wilson JF, Fleck B, Yazar S, Vingerling JR, Hofman A, Uitterlinden A, Rivadeneira F, Amin N, Karssen L, Oostra BA, Zhou X, Teo YY, Tai ES, Vithana E, Barathi V, Zheng Y, Siantar RG, Neelam K, Shin Y, Lam J, Yonova-Doing E, Venturini C, Hosseini SM, Wong HS, Lehtimäki T, Kähönen M, Raitakari O, Timpson NJ, Evans DM, Khor CC, Aung T, Young TL, Mitchell P, Klein B, van Duijn CM, Meitinger T, Jonas JB, Baird PN, Mackey DA, Wong TY, Saw SM, Pärssinen O, Stambolian D, Hammond CJ, Klaver CC, Williams C, Paterson AD, Bailey-Wilson JE, Guggenheim JA; CREAM Consortium. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium. Hum Genet, 134(2):131-46. 2015. [PubMed]

Holzinger ER, Szymczak S, Dasgupta A, Malley J, Li Q, Bailey-Wilson JE. Variable selection method for the identification of epistatic models. Pac Symp Biocomput, :195-206. 2015. [PubMed]

Xiong D, Wang Y, Kupert E, Simpson C, Pinney SM, Gaba CR, Mandal D, Schwartz AG, Yang P, de Andrade M, Pikielny C, Byun J, Li Y, Stambolian D, Spitz MR, Liu Y, Amos CI, Bailey-Wilson JE, Anderson M, You M. A recurrent mutation in PARK2 is associated with familial lung cancer. Am J Hum Genet, 96(2):301-8. 2015. [PubMed]

Li Q, Kim Y, Suktitipat B, Hetmanski JB, Marazita ML, Duggal P, Beaty TH, Bailey-Wilson JE. Gene-Gene Interaction Among WNT Genes for Oral Cleft in Trios. Genet Epidemiol, 39(5):385-94. 2015. [PubMed]

Sei Y, Zhao X, Forbes J, Szymczak S, Li Q, Trivedi A, Voellinger M, Joy G, Feng J, Whatley M, Jones MS, Harper UL, Marx SJ, Venkatesan AM, Chandrasekharappa SC, Raffeld M, Quezado MM, Louie A, Chen CC, Lim RM, Agarwala R, Schäffer AA, Hughes MS, Bailey-Wilson JE, Wank SA. A Hereditary Form of Small Intestinal Carcinoid Associated With a Germline Mutation in Inositol Polyphosphate Multikinase. Gastroenterology, 149(1):67-78. 2015. [PubMed]

  • Publications

    Sellers T.A., Bailey-Wilson J.E., Elston R.C., Wilson A.F., Ooi W.L., Rothschild H. Evidence for mendelian inheritance in the pathogenesis of lung cancer. J Nat Cancer Inst, 82:1272-1279. 1990. [PubMed]

    Mandal DM, Wilson AF, Elston RC, Weissbecker K, Keats BJ, Bailey-Wilson JE. Effects of misspecification of allele frequencies on the Type I error rate of model-free linkage analysis. Hum Hered, 50:126-132. 2000. [PubMed]

    Ho GYF, Bailey-Wilson JE. The transmission/disequilibrium test for linkage on the X chromosome. Am J Hum Genet, 66:1158-1160. 2000. [PubMed]

    Bailey-Wilson J.E., Sorant A.J.M., Malley J.D., Presciuttini S., Redner R.A., Severini T.A., Badner J.A., Pajevic S., Jufer R., Baffoe-Bonnie A., Kao L., Doan B.Q., Goldstein J.L., Holmes T.N., Behnemann D., Mandal D.M., Turley T.N., Weissbecker K.A., O'Neill J., Pugh E.W. Comparison of novel and existing methods for detection of linkage disequilibrium using parent-child trios in the GAW12 genetic isolate simulated data. Genet Epidemiol, 21(Suppl 1):S378-383. 2001. [PubMed]

    Carpten J, Nupponen N, Isaacs S, Sood R, Robbins C, Xu J, Faruque M, Moses T, Ewing C, Gillanders E, Hu P, Bujnovszky P, Makalowska I, Baffoe-Bonnie A, Faith D, Smith J, Stephan D, Wiley K, Brownstein M, Gildea D, Kelly B, Jenkins R, Hostetter G, Matikainen M, Schleutker J, Klinger K, Connors T, Xiang Y, Wang Z, De Marzo A, Papadopoulos N, Kallioniemi OP, Burk R, Meyers D, Grönberg H, Meltzer P, Silverman R, Bailey-Wilson J, Walsh P, Isaacs W, Trent J. Germline mutations in the ribonuclease L gene in families showing linkage with HPC1. Nat Genet, 30:181-184. 2002. [PubMed]

    Bailey-Wilson J.E., Amos C.I., Pinney S.M., Petersen G.M., de Andrade M., Wiest J.S., Fain P., Schwartz A.G., You M., Franklin W., Klein C., Gazdar A., Rothschild H., Mandal D., Coons T., Slusser J., Lee J., Gaba C., Kupert E., Perez A., Zhou X., Zeng D., Liu Q., Zhang Q., Seminara D., Minna J., Anderson M.W. A major lung cancer susceptibility locus maps to chromosome 6q23-25. Am J Hum Genet, 75(3):460-74. 2004. [PubMed]

    Stambolian D, Ibay G, Reider L, Dana D, Moy C, Schlifka M, Holmes T, Ciner E, Bailey-Wilson JE. Genomewide linkage scan for myopia susceptibility loci among Ashkenazi Jewish families shows evidence of linkage on chromosome 22q12. Am J Hum Genet, (3):448-59. 2004. [PubMed]

    Baffoe-Bonnie AB, Smith JR, Stephan DA, Schleutker J, Carpten JD, Kainu T, Gillanders EM, Matikainen M, Teslovich TM, Tammela T, Sood R, Balshem AM, Scarborough SD, Xu J, William B. Isaacs WB, Trent JM, Kallioniemi O-P, Bailey-Wilson JE. A Major Locus for Hereditary Prostate Cancer in Finland: Localization by Linkage Disequilibrium of a Haplotype in the HPCX Region, Hum Genet, 117: 307-316. 2005. [PubMed]

    Doan BQ, Frangakis CE, Shugart YY, Bailey-Wilson JE. Application of the propensity score in a covariate-based linkage analysis of the collaborative study on the genetics of alcoholism. BMC Genetics, 6(Suppl 1):S33. 2005. [PubMed]

    Kim Y, Duggal P, Gillanders EM, Kim H, Bailey-Wilson JE. Examining the effect of linkage disequilib­rium between markers on the Type 1 error rate and power of nonparametric multipoint linkage analysis of two-generation and multigenerational pedigrees in the presence of missing genotype data. Genet Epidemiol, 32:41-51. 2008. [PubMed]

    Duggal P, Gillanders EM, Holmes TN, Bailey-Wilson JE. Establishing an adjusted p-value threshold to control the family-wide type 1 error in genome wide association studies. BMC Genomics, 9:516. 2008. [PubMed]

    Liu P, Vikis HG, Wang D, Lu Y, Wang Y, Schwartz AG, Pinney SM, Yang P, de Andrade M, Petersen GM, Wiest JS, Fain PR, Gazdar A, Gaba C, Rothschild H, Mandal D, Coons T, Lee J, Kupert E, Seminara D, Minna J, Bailey-Wilson JE, Wu X, Spitz MR, Eisen T, Houlston RS, Amos CI, Anderson MW, You M. Familial Aggregation of Common Sequence Variants on 15q24-25.1 in Lung Cancer. J Natl Cancer Inst, 100(18):1326-30. 2008. [PubMed]

    You M, Wang D, Liu P, Vikis H, James M, Lu Y, Wang Y, Wang M, Chen Q, Jia D, Liu Y, Wen W, Yang P, Sun Z, Pinney SM, Zheng W, Shu XO, Long J, Gao YT, Xiang YB, Chow WH, Rothman N, Petersen GM, de Andrade M, Wu Y, Cunningham JM, Wiest JS, Fain PR, Schwartz AG, Girard L, Gazdar A, Gaba C, Rothschild H, Mandal D, Coons T, Lee J, Kupert E, Seminara D, Minna J, Bailey-Wilson JE, Amos CI, Anderson MW. Fine mapping of chromosome 6q23-25 region in familial lung cancer families reveals RGS17 as a likely candidate gene. Clin Cancer Res, 15(8):2666-74. 2009. [PubMed]

    Amos CI, Pinney SM, Li Y, Kupert E, Lee J, de Andrade MA, Yang P, Schwartz AG, Fain PR, Gazdar A, Minna J, Wiest J, Zeng D, Rothschild H, Mandal D, You M, Coons T, Gaba C, Bailey-Wilson JE, Anderson MW. A susceptibility locus on chromosome 6q greatly increases lung cancer risk among light and never smokers. Cancer Res, 70:2359-2367. 2010. [PubMed]

    Simpson CL*, Justice CM*, Krishnan M, Behneman D, Sung H, Cai J, Green T, Lewis D, Wojciechowski R, Wilson AF, Bailey-Wilson JE. Old lessons learned anew: Family-based methods for detecting genes responsible for quantitative and qualitative trait variation in the GAW 17 mini-exome sequence data. BMC Proceedings, 5(Suppl 9):S83. 2011. [PubMed]

    Xu J, Lange EM, Lu L, Zheng SL, Wang Z, Thibodeau SN, Cannon-Albright LA, Teerlink CC, Camp NJ, Johnson AM, Zuhlke KA, Stanford JL, Ostrander EA, Wiley KE, Isaacs SD, Walsh PC, Maier C, Luedeke M, Vogel W, Schleutker J, Wahlfors T, Tammela T, Schaid D, McDonnell SK, Derycke MS, Cancel-Tassin G, Cussenot O, Wiklund F, Grönberg H, Eeles R, Easton D, Kote-Jarai Z, Whittemore AS, Hsieh CL, Giles GG, Hopper JL, Severi G, Catalona WJ, Mandal D, Ledet E, Foulkes WD, Hamel N, Mahle L, Moller P, Powell I, Bailey-Wilson JE, Carpten JD, Seminara D, Cooney KA, Isaacs WB; International Consortium for Prostate Cancer Genetics. HOXB13 is a susceptibility gene for prostate cancer: results from the International Consortium for Prostate Cancer Genetics (ICPCG). Hum Genet, 132(1):5-14. 2013. [PubMed]

    Verhoeven VJ, Hysi PG, Wojciechowski R, Fan Q, Guggenheim JA, Höhn R, Macgregor S, Hewitt AW, Nag A, Cheng CY, Yonova-Doing E, Zhou X, Ikram MK, Buitendijk GH, McMahon G, Kemp JP, Pourcain BS, Simpson CL, Mäkelä KM, Lehtimäki T, Kähönen M, Paterson AD, Hosseini SM, Wong HS, Xu L, Jonas JB, Pärssinen O, Wedenoja J, Yip SP, Ho DW, Pang CP, Chen LJ, Burdon KP, Craig JE, Klein BE, Klein R, Haller T, Metspalu A, Khor CC, Tai ES, Aung T, Vithana E, Tay WT, Barathi VA; Consortium for Refractive Error and Myopia (CREAM), Chen P, Li R, Liao J, Zheng Y, Ong RT, Döring A; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Evans DM, Timpson NJ, Verkerk AJ, Meitinger T, Raitakari O, Hawthorne F, Spector TD, Karssen LC, Pirastu M, Murgia F, Ang W; Wellcome Trust Case Control Consortium 2 (WTCCC2), Mishra A, Montgomery GW, Pennell CE, Cumberland PM, Cotlarciuc I, Mitchell P, Wang JJ, Schache M, Janmahasathian S, Jr RP, Lass JH, Chew E, Iyengar SK; Fuchs' Genetics Multi-Center Study Group, Gorgels TG, Rudan I, Hayward C, Wright AF, Polasek O, Vatavuk Z, Wilson JF, Fleck B, Zeller T, Mirshahi A, Müller C, Uitterlinden AG, Rivadeneira F, Vingerling JR, Hofman A, Oostra BA, Amin N, Bergen AA, Teo YY, Rahi JS, Vitart V, Williams C, Baird PN, Wong TY, Oexle K, Pfeiffer N, Mackey DA, Young TL, van Duijn CM, Saw SM, Bailey-Wilson JE, Stambolian D, Klaver CC, Hammond CJ. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia. Nat Genet, 45(3):314-8. 2013. [PubMed]

    Stambolian D, Wojciechowski R, Oexle K, Pirastu M, Li X, Raffel LJ, Cotch MF, Chew EY, Klein B, Klein R, Wong TY, Simpson CL, Klaver CC, van Duijn CM, Verhoeven VJ, Baird PN, Vitart V, Paterson AD, Mitchell P, Saw SM, Fossarello M, Kazmierkiewicz K, Murgia F, Portas L, Schache M, Richardson A, Xie J, Wang JJ, Rochtchina E; DCCT/EDIC Research Group, Viswanathan AC, Hayward C, Wright AF, Polasek O, Campbell H, Rudan I, Oostra BA, Uitterlinden AG, Hofman A, Rivadeneira F, Amin N, Karssen LC, Vingerling JR, Hosseini SM, Döring A, Bettecken T, Vatavuk Z, Gieger C, Wichmann HE, Wilson JF, Fleck B, Foster PJ, Topouzis F, McGuffin P, Sim X, Inouye M, Holliday EG, Attia J, Scott RJ, Rotter JI, Meitinger T, Bailey-Wilson JE. Meta-analysis of genome-wide association studies in five cohorts reveals common variants in RBFOX1, a regulator of tissue-specific splicing, associated with refractive error. Hum Mol Genet, 1;22(13):2754-64. [PubMed]

    Dasgupta A, Szymczak S, Moore JH, Bailey-Wilson JE, Malley JD. Risk estimation using probability machines. BioData Min, 7(1):2. 2014. [PubMed]

    Bureau A, Parker MM, Ruczinski I, Taub MA, Marazita ML, Murray JC, Mangold E, Noethen MM, Ludwig KU, Hetmanski JB, Bailey-Wilson JE, Cropp CD, Li Q, Szymczak S, Albacha-Hejazi H, Alqosayer K, Field LL, Wu-Chou YH, Doheny KF, Ling H, Scott AF, Beaty TH. Whole Exome Sequencing of Distant Relatives in Multiplex Families Implicates Rare Variants in Candidate Genes for Oral Clefts. Genetics, 197(3):1039-44. 2014. [PubMed]

    Li Q, Wojciechowski R, Simpson CL, Hysi PG, Verhoeven VJ, Ikram MK, Höhn R, Vitart V, Hewitt AW, Oexle K, Mäkelä KM, MacGregor S, Pirastu M, Fan Q, Cheng CY, St Pourcain B, McMahon G, Kemp JP, Northstone K, Rahi JS, Cumberland PM, Martin NG, Sanfilippo PG, Lu Y, Wang YX, Hayward C, Polašek O, Campbell H, Bencic G, Wright AF, Wedenoja J, Zeller T, Schillert A, Mirshahi A, Lackner K, Yip SP, Yap MK, Ried JS, Gieger C, Murgia F, Wilson JF, Fleck B, Yazar S, Vingerling JR, Hofman A, Uitterlinden A, Rivadeneira F, Amin N, Karssen L, Oostra BA, Zhou X, Teo YY, Tai ES, Vithana E, Barathi V, Zheng Y, Siantar RG, Neelam K, Shin Y, Lam J, Yonova-Doing E, Venturini C, Hosseini SM, Wong HS, Lehtimäki T, Kähönen M, Raitakari O, Timpson NJ, Evans DM, Khor CC, Aung T, Young TL, Mitchell P, Klein B, van Duijn CM, Meitinger T, Jonas JB, Baird PN, Mackey DA, Wong TY, Saw SM, Pärssinen O, Stambolian D, Hammond CJ, Klaver CC, Williams C, Paterson AD, Bailey-Wilson JE, Guggenheim JA; CREAM Consortium. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium. Hum Genet, 134(2):131-46. 2015. [PubMed]

    Holzinger ER, Szymczak S, Dasgupta A, Malley J, Li Q, Bailey-Wilson JE. Variable selection method for the identification of epistatic models. Pac Symp Biocomput, :195-206. 2015. [PubMed]

    Xiong D, Wang Y, Kupert E, Simpson C, Pinney SM, Gaba CR, Mandal D, Schwartz AG, Yang P, de Andrade M, Pikielny C, Byun J, Li Y, Stambolian D, Spitz MR, Liu Y, Amos CI, Bailey-Wilson JE, Anderson M, You M. A recurrent mutation in PARK2 is associated with familial lung cancer. Am J Hum Genet, 96(2):301-8. 2015. [PubMed]

    Li Q, Kim Y, Suktitipat B, Hetmanski JB, Marazita ML, Duggal P, Beaty TH, Bailey-Wilson JE. Gene-Gene Interaction Among WNT Genes for Oral Cleft in Trios. Genet Epidemiol, 39(5):385-94. 2015. [PubMed]

    Sei Y, Zhao X, Forbes J, Szymczak S, Li Q, Trivedi A, Voellinger M, Joy G, Feng J, Whatley M, Jones MS, Harper UL, Marx SJ, Venkatesan AM, Chandrasekharappa SC, Raffeld M, Quezado MM, Louie A, Chen CC, Lim RM, Agarwala R, Schäffer AA, Hughes MS, Bailey-Wilson JE, Wank SA. A Hereditary Form of Small Intestinal Carcinoid Associated With a Germline Mutation in Inositol Polyphosphate Multikinase. Gastroenterology, 149(1):67-78. 2015. [PubMed]

Statistical Genetics Section Staff

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Emily R. Holzinger, Ph.D.
  • Postdoctoral Fellow
  • Statistical Genetics Section
Deyana Lewis
Deyana Lewis, Ph.D.
  • Postdoctoral Fellow
  • Statistical Genetics Section
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Qing Li, Ph.D.
  • Research Fellow
  • Statistical Genetics Section
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Candace D. Middlebrooks, Ph.D.
  • Postdoctoral Fellow
  • Statistical Genetics Section
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Anthony M. Musolf, Ph.D.
  • Postdoctoral Fellow
  • Statistical Genetics Section
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Brian Perry
  • Contractor
  • Statistical Genetics Section

Last updated: January 5, 2014