Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Johanna Schleutker is active.

Publication


Featured researches published by Johanna Schleutker.


Nature Genetics | 1998

Evidence for a prostate cancer susceptibility locus on the X chromosome.

Jianfeng Xu; Deborah A. Meyers; Diha Freije; Sarah D. Isaacs; Kathy E. Wiley; Deborah Nusskern; Charles M. Ewing; Eric Wilkens; Piroska Bujnovszky; G. Steven Bova; Patrick C. Walsh; William B. Isaacs; Johanna Schleutker; Mika P. Matikainen; Teuvo L.J. Tammela; Tapio Visakorpi; Olli Kallioniemi; Rebecca Berry; Daniel J. Schaid; Amy J. French; Shannon K. McDonnell; Jennifer J. Schroeder; Michael L. Blute; Stephen N. Thibodeau; Henrik Grönberg; Monika Emanuelsson; Jan-Erik Damber; Anders Bergh; Björn Anders Jonsson; Jeffrey R. Smith

Over 200,000 new prostate cancer cases are diagnosed in the United States each year, accounting for more than 35% of all cancer cases affecting men, and resulting in 40,000 deaths annually1. Attempts to characterize genes predisposing to prostate cancer have been hampered by a high phenocopy rate, the late age of onset of the disease and, in the absence of distinguishing clinical features, the inability to stratify patients into subgroups relative to suspected genetic locus heterogeneity. We previously performed a genome-wide search for hereditary prostate cancer (HPC) genes, finding evidence of a prostate cancer susceptibility locus on chromosome 1 (termed HPC1; ref. 2). Here we present evidence for the location of a second prostate cancer susceptibility gene, which by heterogeneity estimates accounts for approximately 16% of HPC cases. This HPC locus resides on the X chromosome (Xq27-28), a finding consistent with results of previous population-based studies suggesting an X-linked mode of HPC inheritance. Linkage to Xq27-28 was observed in a combined study population of 360 prostate cancer families collected at four independent sites in North America, Finland and Sweden. A maximum two-point lod score of 4.60 was observed at DXS1113, θ=0.26, in the combined data set. Parametric multipoint and non-parametric analyses provided results consistent with the two-point analysis. evidence for genetic locus heterogeneity was observed, with similar estimates of the proportion of linked families in each separate family collection. Genetic mapping of the locus represents an important initial step in the identification of an X-linked gene implicated in the aetiology of HPC.


Nature | 2007

A recurrent mutation in PALB2 in Finnish cancer families

Hannele Erkko; Bing Xia; Jenni Nikkilä; Johanna Schleutker; Kirsi Syrjäkoski; Arto Mannermaa; Anne Kallioniemi; Katri Pylkäs; Sanna Maria Karppinen; Katrin Rapakko; Alexander Miron; Qing Sheng; Guilan Li; Henna Mattila; Daphne W. Bell; Daniel A. Haber; Mervi Grip; Mervi Reiman; Arja Jukkola-Vuorinen; Aki Mustonen; Juha Kere; Lauri A. Aaltonen; Veli-Matti Kosma; Vesa Kataja; Ylermi Soini; Ronny Drapkin; David M. Livingston; Robert Winqvist

BRCA1, BRCA2 and other known susceptibility genes account for less than half of the detectable hereditary predisposition to breast cancer. Other relevant genes therefore remain to be discovered. Recently a new BRCA2-binding protein, PALB2, was identified. The BRCA2–PALB2 interaction is crucial for certain key BRCA2 DNA damage response functions as well as its tumour suppression activity. Here we show, by screening for PALB2 mutations in Finland that a frameshift mutation, c.1592delT, is present at significantly elevated frequency in familial breast cancer cases compared with ancestry-matched population controls. The truncated PALB2 protein caused by this mutation retained little BRCA2-binding capacity and was deficient in homologous recombination and crosslink repair. Further screening of c.1592delT in unselected breast cancer individuals revealed a roughly fourfold enrichment of this mutation in patients compared with controls. Most of the mutation-positive unselected cases had a familial pattern of disease development. In addition, one multigenerational prostate cancer family that segregated the c.1592delT truncation allele was observed. These results indicate that PALB2 is a breast cancer susceptibility gene that, in a suitably mutant form, may also contribute to familial prostate cancer development.


Nature Genetics | 2009

Genome-wide association and replication studies identify four variants associated with prostate cancer susceptibility

Julius Gudmundsson; Patrick Sulem; Daniel F. Gudbjartsson; Thorarinn Blondal; Arnaldur Gylfason; Bjarni A. Agnarsson; Kristrun R. Benediktsdottir; Droplaug N. Magnusdottir; Gudbjorg Orlygsdottir; Margret Jakobsdottir; Simon N. Stacey; Asgeir Sigurdsson; Tiina Wahlfors; Teuvo L.J. Tammela; Joan P. Breyer; Kate M. McReynolds; Kevin M. Bradley; Berta Saez; Javier Godino; Sebastian Navarrete; Fernando Fuertes; Laura Murillo; Eduardo Polo; Katja K. Aben; Inge M. van Oort; Brian K. Suarez; Brian T. Helfand; Donghui Kan; Carlo Zanon; Michael L. Frigge

We report a prostate cancer genome-wide association follow-on study. We discovered four variants associated with susceptibility to prostate cancer in several European populations: rs10934853[A] (OR = 1.12, P = 2.9 × 10−10) on 3q21.3; two moderately correlated (r2 = 0.07) variants, rs16902094[G] (OR = 1.21, P = 6.2 × 10−15) and rs445114[T] (OR = 1.14, P = 4.7 × 10−10), on 8q24.21; and rs8102476[C] (OR = 1.12, P = 1.6 × 10−11) on 19q13.2. We also refined a previous association signal on 11q13 with the SNP rs11228565[A] (OR = 1.23, P = 6.7 × 10−12). In a multivariate analysis using 22 prostate cancer risk variants typed in the Icelandic population, we estimated that carriers in the top 1.3% of the risk distribution are at a 2.5 times greater risk of developing the disease than members of the general population.


Nature Genetics | 2004

Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer

Pia Huusko; Damaris Ponciano-Jackson; Maija Wolf; Jeff Kiefer; David O. Azorsa; Sukru Tuzmen; Don Weaver; Christiane M. Robbins; Tracy Moses; Minna Allinen; Sampsa Hautaniemi; Yidong Chen; Abdel G. Elkahloun; Mark Basik; G. Steven Bova; Lukas Bubendorf; Alessandro Lugli; Guido Sauter; Johanna Schleutker; Hilmi Ozcelik; Sabine Elowe; Tony Pawson; Jeffrey M. Trent; John D. Carpten; Olli Kallioniemi; Spyro Mousses

The identification of tumor-suppressor genes in solid tumors by classical cancer genetics methods is difficult and slow. We combined nonsense-mediated RNA decay microarrays and array-based comparative genomic hybridization for the genome-wide identification of genes with biallelic inactivation involving nonsense mutations and loss of the wild-type allele. This approach enabled us to identify previously unknown mutations in the receptor tyrosine kinase gene EPHB2. The DU 145 prostate cancer cell line, originating from a brain metastasis, carries a truncating mutation of EPHB2 and a deletion of the remaining allele. Additional frameshift, splice site, missense and nonsense mutations are present in clinical prostate cancer samples. Transfection of DU 145 cells, which lack functional EphB2, with wild-type EPHB2 suppresses clonogenic growth. Taken together with studies indicating that EphB2 may have an essential role in cell migration and maintenance of normal tissue architecture, our findings suggest that mutational inactivation of EPHB2 may be important in the progression and metastasis of prostate cancer.


Cancer Epidemiology, Biomarkers & Prevention | 2008

Multiple Novel Prostate Cancer Predisposition Loci Confirmed by an International Study: The PRACTICAL Consortium

Zsofia Kote-Jarai; Douglas F. Easton; Janet L. Stanford; Elaine A. Ostrander; Johanna Schleutker; Sue A. Ingles; Daniel J. Schaid; Stephen N. Thibodeau; Thilo Dörk; David E. Neal; Angela Cox; Christiane Maier; Walter Vogel; Michelle Guy; Kenneth Muir; Artitaya Lophatananon; Mary-Anne Kedda; Amanda B. Spurdle; Suzanne K. Steginga; Esther M. John; Graham G. Giles; John L. Hopper; Pierre O. Chappuis; Pierre Hutter; William D. Foulkes; Nancy Hamel; Claudia A. Salinas; Joseph S. Koopmeiners; Danielle M. Karyadi; Bo Johanneson

A recent genome-wide association study found that genetic variants on chromosomes 3, 6, 7, 10, 11, 19 and X were associated with prostate cancer risk. We evaluated the most significant single-nucleotide polymorphisms (SNP) in these loci using a worldwide consortium of 13 groups (PRACTICAL). Blood DNA from 7,370 prostate cancer cases and 5,742 male controls was analyzed by genotyping assays. Odds ratios (OR) associated with each genotype were estimated using unconditional logistic regression. Six of the seven SNPs showed clear evidence of association with prostate cancer (P = 0.0007-P = 10−17). For each of these six SNPs, the estimated per-allele OR was similar to those previously reported and ranged from 1.12 to 1.29. One SNP on 3p12 (rs2660753) showed a weaker association than previously reported [per-allele OR, 1.08 (95% confidence interval, 1.00-1.16; P = 0.06) versus 1.18 (95% confidence interval, 1.06-1.31)]. The combined risks associated with each pair of SNPs were consistent with a multiplicative risk model. Under this model, and in combination with previously reported SNPs on 8q and 17q, these loci explain 16% of the familial risk of the disease, and men in the top 10% of the risk distribution have a 2.1-fold increased risk relative to general population rates. This study provides strong confirmation of these susceptibility loci in multiple populations and shows that they make an important contribution to prostate cancer risk prediction. (Cancer Epidemiol Biomarkers Prev 2008;17(8):2052–61)


The Journal of Pathology | 1999

Androgen receptor gene mutations in hormone‐refractory prostate cancer

Mika J. Wallén; Marika J. Linja; Kaius Kaartinen; Johanna Schleutker; Tapio Visakorpi

Prostate cancer is considered to be one of the most hormone‐dependent human malignancies. As a key mediator of hormonal response, the androgen receptor (AR) is believed to have an important role in the progression of prostate cancer. Mutations in the coding region of the AR gene have been found in both untreated and hormone‐refractory prostate cancer, but the frequency of such mutations at different stages of the disease is poorly documented and even contradictory results have been published. In the present study, the frequency of AR gene mutations was determined in 30 locally recurrent and two metastatic hormone‐refractory prostate tumours using the polymerase chain reaction (PCR), non‐radioactive single strand conformation polymorphism (SSCP), and sequencing. The length of the polymorphic CAG repeat, which is inversely correlated with the ability of the AR to activate transcription, was also analysed as well as the GGC repeat. Twelve samples were known to contain an AR gene amplification. Altogether, one point mutation (Gly674→Ala) and one microsatellite mutation (CAG20→CAG18) were found, both in cancers containing the AR gene amplification. The mean lengths of the polymorphic CAG and GGC repeats were similar to those observed in the normal population. These results favour the view that mutations in the AR gene are rare in hormone‐refractory prostate cancer and do not play an important role, at least, in local relapse. Instead, the amplification and consequent overexpression of the wild‐type AR gene seem to be the most common alteration involving the AR in hormone‐refractory prostate cancer. Copyright


British Journal of Cancer | 2003

CHEK2 variants associate with hereditary prostate cancer

Eija H. Seppälä; Tarja Ikonen; Nina Mononen; Ville Autio; Annika Rökman; Mika P. Matikainen; Teuvo L.J. Tammela; Johanna Schleutker

Recently, variants in CHEK2 gene were shown to associate with sporadic prostate cancer in the USA. In the present study from Finland, we found that the frequency of 1100delC, a truncating variant that abrogates the kinase activity, was significantly elevated among 120 patients with hereditary prostate cancer (HPC) (four out of 120 (3.3%); odds ratio 8.24; 95% confidence interval 1.49–45.54; P=0.02) compared to 480 population controls. Suggestive evidence of segregation between the 1100delC mutation and prostate cancer was seen in all positive families. In addition, I157T variant had significantly higher frequency among HPC patients (13 out of 120 (10.8%); odds ratio 2.12; 95% confidence interval 1.06–4.27; P=0.04) than the frequency 5.4% seen in the population controls. The results suggest that CHEK2 variants are low-penetrance prostate cancer predisposition alleles that contribute significantly to familial clustering of prostate cancer at the population level.


Genomics | 1991

Infantile form of neuronal ceroid lipofuscinosis (CLN1) maps to the short arm of chromosome 1

Irma Järvelä; Johanna Schleutker; Leena Haataja; Pirkko Santavuori; Lea Puhakka; Tuula Manninen; Aarno Palotie; Lodewijk A. Sandkuijl; Martin Renlund; R. White; Pertti Aula; Leena Peltonen

The neuronal ceroid lipofuscinoses (CLNs) are one of the most common progressive encephalopathies of childhood in Western countries. They are divided into three main types: infantile, late infantile, and juvenile. The inheritance of all forms is autosomal recessive, and the biochemical background is totally unknown. The infantile type (CLN1) demonstrates the earliest onset of symptoms and the most severe clinical course. CLN1 is enriched in the Finnish population with incidence of 1:20,000, and only about 50 cases have been reported from other parts of the world. We have collected 15 Finnish CLN1 families with one or two diseased children for a linkage analysis with polymorphic probes randomly localized on human chromosomes. After studying 42 polymorphic protein and DNA markers, we found definitive proof of linkage with three different probes on the short arm of chromosome 1, with maximum lod scores of 3.38 at theta = 0.00 (0.00-0.08) for D1S57 (pYNZ2), 3.56 at theta = 0.00 (0.00-0.09) for D1S7 (lambda MS1), and 3.56 at theta = 0.00 (0.00-0.11) for D1S79 (pCMM8). With the assignment of the CLN1 gene, our study demonstrates the power of multiallelic VNTR probes in the search for linkage of a rare recessive disorder using limited family material.


Human Molecular Genetics | 2011

RAD51C is a susceptibility gene for ovarian cancer

Liisa M. Pelttari; Tuomas Heikkinen; Deborah Thompson; Anne Kallioniemi; Johanna Schleutker; Kaija Holli; Carl Blomqvist; Kristiina Aittomäki; Ralf Bützow; Heli Nevanlinna

A homozygous mutation in the RAD51C gene was recently found to cause Fanconi anemia-like disorder. Furthermore, six heterozygous deleterious RAD51C mutations were detected in German breast and ovarian cancer families. We screened 277 Finnish familial breast or ovarian cancer patients for RAD51C and identified two recurrent deleterious mutations (c.93delG and c.837+1G>A). These mutations were further genotyped in 491 familial breast cancer patients, 409 unselected ovarian cancer patients and two series of unselected breast cancer cases (884 from Helsinki and 686 from Tampere) and population controls (1279 and 807, respectively). The mutation frequency among all breast cancer cases was not different from the controls (4 out of 2239, 0.2% versus population controls 2 out of 2086, 0.1%, P= 0.7). In the Helsinki series, each mutation was found in four cases with personal or family history of ovarian cancer. No mutations were found among cases with familial breast cancer only, four out of the eight carriers did not have family history of breast cancer. The mutations associated with an increased risk of familial breast and ovarian cancer (OR: 13.59, 95% CI 1.89-97.6, P= 0.026 compared with controls), but especially with familial ovarian cancer in the absence of breast cancer (OR: 213, 95% CI 25.6-1769, P= 0.0002) and also with unselected ovarian cancer (OR: 6.31, 95% CI 1.15-34.6, P= 0.033), with a significantly higher mutation rate among the familial cases (two out of eight, 25%) than the unselected ovarian cancer cases (4 out of 409, 1%) (OR: 33.8, 95% CI 5.15-221, P= 0.005). These results suggest RAD51C as the first moderate-to-high risk susceptibility gene for ovarian cancer.


American Journal of Human Genetics | 2016

REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

Nilah M. Ioannidis; Joseph H. Rothstein; Vikas Pejaver; Sumit Middha; Shannon K. McDonnell; Saurabh Baheti; Anthony M. Musolf; Qing Li; Emily Rose Holzinger; Danielle M. Karyadi; Lisa A. Cannon-Albright; Craig Teerlink; Janet L. Stanford; William B. Isaacs; Jianfeng F. Xu; Kathleen A. Cooney; Ethan M. Lange; Johanna Schleutker; John D. Carpten; Isaac J. Powell; Olivier Cussenot; Geraldine Cancel-Tassin; Graham G. Giles; Robert J. MacInnis; Christiane Maier; Chih-Lin Hsieh; Fredrik Wiklund; William J. Catalona; William D. Foulkes; Diptasri Mandal

The vast majority of coding variants are rare, and assessment of the contribution of rare variants to complex traits is hampered by low statistical power and limited functional data. Improved methods for predicting the pathogenicity of rare coding variants are needed to facilitate the discovery of disease variants from exome sequencing studies. We developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, MutationTaster, LRT, GERP, SiPhy, phyloP, and phastCons. REVEL was trained with recently discovered pathogenic and rare neutral missense variants, excluding those previously used to train its constituent tools. When applied to two independent test sets, REVEL had the best overall performance (p < 10-12) as compared to any individual tool and seven ensemble methods: MetaSVM, MetaLR, KGGSeq, Condel, CADD, DANN, and Eigen. Importantly, REVEL also had the best performance for distinguishing pathogenic from rare neutral variants with allele frequencies <0.5%. The area under the receiver operating characteristic curve (AUC) for REVEL was 0.046-0.182 higher in an independent test set of 935 recent SwissVar disease variants and 123,935 putatively neutral exome sequencing variants and 0.027-0.143 higher in an independent test set of 1,953 pathogenic and 2,406 benign variants recently reported in ClinVar than the AUCs for other ensemble methods. We provide pre-computed REVEL scores for all possible human missense variants to facilitate the identification of pathogenic variants in the sea of rare variants discovered as sequencing studies expand in scale.

Collaboration


Dive into the Johanna Schleutker's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Zsofia Kote-Jarai

Institute of Cancer Research

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge