19 results on '"Thutkawkorapin, Jessada"'
Search Results
2. Sequencing for germline mutations in Swedish breast cancer families reveals novel breast cancer risk genes
- Author
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Helgadottir, Hafdis T., Thutkawkorapin, Jessada, Lagerstedt-Robinson, Kristina, and Lindblom, Annika
- Published
- 2021
- Full Text
- View/download PDF
3. A search for modifying genetic factors in CHEK2:c.1100delC breast cancer patients
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Wendt, Camilla, Muranen, Taru A., Mielikäinen, Lotta, Thutkawkorapin, Jessada, Blomqvist, Carl, Jiao, Xiang, Ehrencrona, Hans, Tham, Emma, Arver, Brita, Melin, Beatrice, Kuchinskaya, Ekaterina, Stenmark Askmalm, Marie, Paulsson-Karlsson, Ylva, Einbeigi, Zakaria, von Wachenfeldt Väppling, Anna, Kalso, Eija, Tasmuth, Tiina, Kallioniemi, Anne, Aittomäki, Kristiina, Nevanlinna, Heli, Borg, Åke, and Lindblom, Annika
- Published
- 2021
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4. Linkage analysis revealed risk loci on 6p21 and 18p11.2-q11.2 in familial colon and rectal cancer, respectively
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von Holst, Susanna, Jiao, Xiang, Liu, Wen, Kontham, Vinaykumar, Thutkawkorapin, Jessada, Ringdahl, Jenny, Bryant, Patrick, and Lindblom, Annika
- Published
- 2019
- Full Text
- View/download PDF
5. pyCancerSig: subclassifying human cancer with comprehensive single nucleotide, structural and microsatellite mutational signature deconstruction from whole genome sequencing
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Thutkawkorapin, Jessada, Eisfeldt, Jesper, Tham, Emma, and Nilsson, Daniel
- Published
- 2020
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6. A Swedish Familial Genome-Wide Haplotype Analysis Identified Five Novel Breast Cancer Susceptibility Loci on 9p24.3, 11q22.3, 15q11.2, 16q24.1 and Xq21.31.
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Barnekow, Elin, Hasslow, Johan, Liu, Wen, Bryant, Patrick, Thutkawkorapin, Jessada, Wendt, Camilla, Czene, Kamila, Hall, Per, Margolin, Sara, and Lindblom, Annika
- Subjects
CANCER susceptibility ,LOCUS (Genetics) ,BREAST cancer ,BRCA genes ,GENOME-wide association studies ,HAPLOTYPES ,DISEASE risk factors - Abstract
Most breast cancer heritability is unexplained. We hypothesized that analysis of unrelated familial cases in a GWAS context could enable the identification of novel susceptibility loci. In order to examine the association of a haplotype with breast cancer risk, we performed a genome-wide haplotype association study using a sliding window analysis of window sizes 1–25 SNPs in 650 familial invasive breast cancer cases and 5021 controls. We identified five novel risk loci on 9p24.3 (OR 3.4; p 4.9 × 10
−11 ), 11q22.3 (OR 2.4; p 5.2 × 10−9 ), 15q11.2 (OR 3.6; p 2.3 × 10−8 ), 16q24.1 (OR 3; p 3 × 10−8 ) and Xq21.31 (OR 3.3; p 1.7 × 10−8 ) and confirmed three well-known loci on 10q25.13, 11q13.3, and 16q12.1. In total, 1593 significant risk haplotypes and 39 risk SNPs were distributed on the eight loci. In comparison with unselected breast cancer cases from a previous study, the OR was increased in the familial analysis in all eight loci. Analyzing familial cancer cases and controls enabled the identification of novel breast cancer susceptibility loci. [ABSTRACT FROM AUTHOR]- Published
- 2023
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7. Exome sequencing in a Swedish family with PMS2 mutation with varying penetrance of colorectal cancer: investigating the presence of genetic risk modifiers in colorectal cancer risk.
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Bryant, Patrick, Walton Bernstedt, Sophie, Thutkawkorapin, Jessada, Backman, Ann-Sofie, Lindblom, Annika, and Lagerstedt-Robinson, Kristina
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- 2023
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8. Colorectal cancer risk susceptibility loci in a Swedish population.
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Liu, Wen, Mahdessian, Hovsep, Helgadottir, Hafdis, Zhou, Xingwu, Thutkawkorapin, Jessada, Jiao, Xiang, Wolk, Alicja, and Lindblom, Annika
- Published
- 2022
- Full Text
- View/download PDF
9. Identification of known and novel familial cancer genes in Swedish colorectal cancer families.
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Helgadottir, Hafdis T., Thutkawkorapin, Jessada, Rohlin, Anna, Nordling, Margareta, Lagerstedt‐Robinson, Kristina, and Lindblom, Annika
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COLORECTAL cancer ,CANCER genes ,HEREDITARY nonpolyposis colorectal cancer ,GENETIC counseling ,GENETIC mutation ,FAMILY history (Medicine) ,FAMILIES - Abstract
Identifying new candidate colorectal cancer (CRC) genes and mutations are important for clinical cancer prevention as well as in cancer care. Genetic counseling is already implemented for known high‐risk variants; however, the majority of CRC are of unknown causes. In our study, 110 CRC patients in 55 Swedish families with a strong history of CRC but unknown genetic causes were analyzed with the aim of identifying novel candidate CRC predisposing genes. Exome sequencing was used to identify rare and high‐impact variants enriched in the families. No clear pathogenic variants were found in known CRC predisposing genes; however, potential pathogenic variants in novel CRC predisposing genes were identified. Over 3000 variants with minor allele frequency (MAF) <0.01 and Combined Annotation Dependent Depletion (CADD) > 20 were seen aggregating in the CRC families. Of those, 27 variants with MAF < 0.001 and CADD>25 were considered high‐risk mutations. Interestingly, more than half of the high‐risk variants were detected in three families, suggesting cumulating contribution of several variants to CRC. In summary, our study shows that despite a strong history of CRC within families, identifying pathogenic variants is challenging. In a small number of families, few rare mutations were shared by affected family members. This could indicate that in the absence of known CRC predisposing genes, a cumulating contribution of mutations leads to CRC observed in these families. What's new? Genetic counseling is already implemented in colorectal cancer for known high‐risk variants. However, the majority of cases are of unknown causes. In this study, 110 patients in 55 Swedish families with a strong history of colorectal cancer but unknown genetic causes were analyzed to identify novel candidate predisposing genes. Exome‐sequencing revealed several potential pathogenic variants in novel colorectal cancer predisposing genes, while variants in known predisposing genes were not seen. Many of the variants were observed within the same families, which potentially indicates a cumulative contribution of mutations and emphasises the complexity of colorectal cancer. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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10. Whole‐genome sequencing of synchronous thyroid carcinomas identifies aberrant DNA repair in thyroid cancer dedifferentiation.
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Paulsson, Johan O, Backman, Samuel, Wang, Na, Stenman, Adam, Crona, Joakim, Thutkawkorapin, Jessada, Ghaderi, Mehran, Tham, Emma, Stålberg, Peter, Zedenius, Jan, and Juhlin, C Christofer
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DNA repair ,THYROID cancer ,SOMATIC mutation ,ANAPLASTIC thyroid cancer ,GENETICS - Abstract
The genetics underlying thyroid cancer dedifferentiation is only partly understood and has not yet been characterised using comprehensive pan‐genomic analyses. We investigated a unique case with synchronous follicular thyroid carcinoma (FTC), poorly differentiated thyroid carcinoma (PDTC), and anaplastic thyroid carcinoma (ATC), as well as regional lymph node metastases from the PDTC and ATC from a single patient using whole‐genome sequencing (WGS). The FTC displayed mutations in CALR, RB1, and MSH2, and the PDTC exhibited mutations in TP53, DROSHA, APC, TERT, and additional DNA repair genes – associated with an immense increase in sub‐clonal somatic mutations. All components displayed an overrepresentation of C>T transitions with associated microsatellite instability (MSI) in the PDTC and ATC, with borderline MSI in the FTC. Clonality analyses pinpointed a shared ancestral clone enriched for mutations in TP53‐associated regulation of DNA repair and identified important sub‐clones for each tumour component already present in the corresponding preceding lesion. This genomic characterisation of the natural progression of thyroid cancer reveals several novel genes of interest for future studies. Moreover, the findings support the theory of a stepwise dedifferentiation process and suggest that defects in DNA repair could play an important role in the clonal evolution of thyroid cancer. © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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11. Genetic analyses supporting colorectal, gastric, and prostate cancer syndromes.
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Wallander, Karin, Liu, Wen, von Holst, Susanna, Thutkawkorapin, Jessada, Kontham, Vinaykumar, Forsberg, Anna, Lindblom, Annika, and Lagerstedt‐Robinson, Kristina
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- 2019
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12. Exome sequencing in one family with gastric- and rectal cancer.
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Thutkawkorapin, Jessada, Picelli, Simone, Kontham, Vinaykumar, Tao Liu, Nilsson, Daniel, and Lindblom, Annika
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GASTRIC diseases , *RECTAL cancer , *COLON cancer , *GENETIC mutation , *SINGLE nucleotide polymorphisms - Abstract
Background: Heritable factors are well known to increase the risk of cancer in families. Known susceptibility genes account for a small proportion of all colorectal cancer cases. The aim of this study was to identify the genetic background in a family suggested to segregate a dominant cancer syndrome with a high risk of rectal- and gastric cancer. We performed whole exome sequencing in three family members, 2 with rectal cancer and 1 with gastric cancer and followed it up in additional family members, other patients and controls. Results: We identified 12 novel non-synonymous single nucleotide variants, which were shared among 5 affected members of this family. The mutations were found in 12 different genes; DZIP1L, PCOLCE2, IGSF10, SUCNR1, OR13C8, EPB41L4B, SEC16A, NOTCH1, TAS2R7, SF3A1, GAL3ST1, and TRIOBP. None of the mutations was suggested as a high penetrant mutation. It was not possible to completely rule out any of the mutations as contributing to disease, although seven were more unlikely than the others. Neither did we rule out the effect of all thousands of intronic, intergenic and synonymous variants shared between the three persons used for exome sequencing. Conclusions: We propose this family, suggested to segregate dominant disease, could be an example of complex inheritance. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
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13. A Swedish Genome-Wide Haplotype Association Analysis Identifies a Novel Breast Cancer Susceptibility Locus in 8p21.2 and Characterizes Three Loci on Chromosomes 10, 11 and 16.
- Author
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Barnekow, Elin, Liu, Wen, Helgadottir, Hafdis T., Michailidou, Kyriaki, Dennis, Joe, Bryant, Patrick, Thutkawkorapin, Jessada, Wendt, Camilla, Czene, Kamila, Hall, Per, Margolin, Sara, and Lindblom, Annika
- Subjects
CHROMOSOME analysis ,PROTEINS ,SEQUENCE analysis ,GENETIC mutation ,RISK assessment ,DISEASE susceptibility ,GENES ,HAPLOTYPES ,GENOMICS ,GENE expression profiling ,BREAST tumors - Abstract
Simple Summary: Heritable rare high- and moderate-risk mutations in breast cancer susceptibility genes are known of, alongside 170 common genetic low risk variants with a minor increase in risk. However, based on genetic studies, we know that over half of the breast cancer heritability is still unexplained. By analyzing combinations of chromosomal nearby variants, so-called haplotypes, and their association to breast cancer we could identify a novel genetic breast cancer risk locus on chromosome 8 and confirm three well known low risk loci on Chr 10, 11 and 16. (1) Background: The heritability of breast cancer is partly explained but much of the genetic contribution remains to be identified. Haplotypes are often used as markers of ethnicity as they are preserved through generations. We have previously demonstrated that haplotype analysis, in addition to standard SNP association studies, could give novel and more detailed information on genetic cancer susceptibility. (2) Methods: In order to examine the association of a SNP or a haplotype to breast cancer risk, we performed a genome wide haplotype association study, using sliding window analysis of window sizes 1–25 and 50 SNPs, in 3200 Swedish breast cancer cases and 5021 controls. (3) Results: We identified a novel breast cancer susceptibility locus in 8p21.1 (OR 2.08; p 3.92 × 10
−8 ), confirmed three known loci in 10q26.13, 11q13.3, 16q12.1-2 and further identified novel subloci within these three loci. Altogether 76 risk SNPs, 3302 risk haplotypes of window size 2–25 and 113 risk haplotypes of window size 50 at p < 5 × 10−8 on chromosomes 8, 10, 11 and 16 were identified. In the known loci haplotype analysis reached an OR of 1.48 in overall breast cancer and in familial cases OR 1.68. (4) Conclusions: Analyzing haplotypes, rather than single variants, could detect novel susceptibility loci even in small study populations but the method requires a fairly homogenous study population. [ABSTRACT FROM AUTHOR]- Published
- 2022
- Full Text
- View/download PDF
14. Exome sequencing in 51 early onset non‐familial CRC cases.
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Thutkawkorapin, Jessada, Lindblom, Annika, and Tham, Emma
- Subjects
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CANCER genes , *HEREDITARY cancer syndromes , *RECESSIVE genes , *EXOMES , *GENETIC testing , *COLON cancer ,CANCER susceptibility - Abstract
Background: Colorectal cancer (CRC) cases with an age of onset <40 years suggests a germline genetic cause. In total, 51 simplex cases were included to test the hypothesis of CRC as a mendelian trait caused by either heterozygous autosomal dominant or bi‐allelic autosomal recessive pathogenic variants. Methods: The cohort was whole exome sequenced (WES) at 100× coverage. Both a dominant‐ and recessive model were used for searching predisposing genetic factors. In addition, we assayed recessive variants of potential moderate risk that were enriched in our young‐onset CRC cohort. Variants were filtered using a candidate cancer gene list or by selecting variants more likely to be pathogenic based on variant type (e.g., loss‐of‐function) or allele frequency. Results: We identified one pathogenic variant in PTEN in a patient subsequently confirmed to have a hereditary hamartoma tumor syndrome (Cowden syndrome) and one patient with a pathogenic heterozygous variant in PMS2 that was originally not identified by WES due to low quality reads resulting from pseudogenes. In addition, we identified three heterozygous candidate missense variants in known cancer susceptibility genes (BMPR1A,BRIP1, and SRC), three truncating variants in possibly novel cancer genes (CLSPN,SEC24B, SSH2) and four candidate missense variants in ACACA, NR2C2, INPP4A, and DIDO1. We also identify five possible autosomal recessive candidate genes: ATP10B,PKHD1,UGGT2,MYH13,TFF3. Conclusion: Two clear pathogenic variants were identified in patients that had not been identified clinically. Thus, the chance of detecting a hereditary cancer syndrome in patients with CRC at young age but without family history is 2/51 (4%) and therefore the clinical benefit of genetic testing in this patient group is low. Of note, using stringent filtering, we have identified a total of ten candidate heterozygous variants and five possibly biallelic autosomal recessive candidate genes that warrant further study. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
15. Two novel colorectal cancer risk loci in the region on chromosome 9q22.32.
- Author
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Thutkawkorapin J, Mahdessian H, Barber T, Picelli S, von Holst S, Lundin J, Valle L, Kontham V, Liu T, Nilsson D, Jiao X, and Lindblom A
- Abstract
Highly penetrant cancer syndromes account for less than 5% of all cases with familial colorectal cancer (CRC), and other genetic contribution explains the majority of the genetic contribution to CRC. A CRC susceptibility locus on chromosome 9q has been suggested. In this study, families where risk of CRC was linked to the region, were used to search for predisposing mutations in all genes in the region. No disease-causing mutation was found. Next, haplotype association studies were performed in the region, comparing Swedish CRC cases (2664) and controls (4782). Two overlapping haplotypes were suggested. One 10-SNP haplotype was indicated in familial CRC (OR 1.4, p = 0.00005) and one 25-SNP haplotype was indicated in sporadic CRC (OR 2.2, p = 0.0000012). The allele frequencies of the 10-SNP and the 25-SNP haplotypes were 13.7% and 2.5% respectively and both included one RNA, RP11-332M4.1 and RP11-l80l4.2 , in the non-overlapping regions. The sporadic 25-SNP haplotype could not be studied further, but the familial 10-SNP haplotype was analyzed in 61 additional CRC families, and 6 of them were informative for all markers and had the risk haplotype. Targeted sequencing of the 10-SNP region in the linked families identified one variant in RP11-332M4.1 , suggestive to confer the increased CRC risk on this haplotype. Our results support the presence of two loci at 9q22.32, each with one RNA as the putative cause of increased CRC risk. These RNAs could exert their effect through the same, or different, genes/pathways, possibly through the regulation of neighboring genes, such as PTCH1, FANCC, DKFZP434H0512, ERCC6L2 or the processed transcript LINC00046 ., Competing Interests: CONFLICTS OF INTEREST The authors declare that they have no competing interests.
- Published
- 2018
- Full Text
- View/download PDF
16. Cancer risk susceptibility loci in a Swedish population.
- Author
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Liu W, Jiao X, Thutkawkorapin J, Mahdessian H, and Lindblom A
- Abstract
A germline mutation in cancer predisposing genes is known to increase the risk of more than one tumor type. In order to find loci associated with many types of cancer, a genome-wide association study (GWAS) was conducted, and 3,555 Swedish cancer cases and 15,581 controls were analyzed for 226,883 SNPs. The study used haplotype analysis instead of single SNP analysis in order to find putative founder effects. Haplotype association studies identified seven risk loci associated with cancer risk, on chromosomes 1, 7, 11, 14, 16, 17 and 21. Four of the haplotypes, on chromosomes 7, 14, 16 and 17, were confirmed in Swedish familial cancer cases. It was possible to perform exome sequencing in one patient for each of those four loci. No clear disease-causing exonic mutation was found in any of the four loci. Some of the candidate loci hold several cancer genes, suggesting that the risk associated with one locus could involve more than one gene associated with cancer risk. In summary, this study identified seven novel candidate loci associated with cancer risk. It was also suggested that cancer risk at one locus could depend on multiple contributing risk mutations/genes., Competing Interests: CONFLICTS OF INTEREST The authors declare that they have no competing of interests.
- Published
- 2017
- Full Text
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17. SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population.
- Author
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Ameur A, Dahlberg J, Olason P, Vezzi F, Karlsson R, Martin M, Viklund J, Kähäri AK, Lundin P, Che H, Thutkawkorapin J, Eisfeldt J, Lampa S, Dahlberg M, Hagberg J, Jareborg N, Liljedahl U, Jonasson I, Johansson Å, Feuk L, Lundeberg J, Syvänen AC, Lundin S, Nilsson D, Nystedt B, Magnusson PK, and Gyllensten U
- Subjects
- Datasets as Topic, Genome-Wide Association Study, Humans, Sweden, Twins genetics, Genome, Human, Polymorphism, Single Nucleotide, Registries
- Abstract
Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.
- Published
- 2017
- Full Text
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18. PHIP - a novel candidate breast cancer susceptibility locus on 6q14.1.
- Author
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Jiao X, Aravidis C, Marikkannu R, Rantala J, Picelli S, Adamovic T, Liu T, Maguire P, Kremeyer B, Luo L, von Holst S, Kontham V, Thutkawkorapin J, Margolin S, Du Q, Lundin J, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Ambrosone CB, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Beckmann MW, Blomqvist C, Blot W, Boeckx B, Bojesen SE, Bonanni B, Brand JS, Brauch H, Brenner H, Broeks A, Brüning T, Burwinkel B, Cai Q, Chang-Claude J, Couch FJ, Cox A, Cross SS, Deming-Halverson SL, Devilee P, Dos-Santos-Silva I, Dörk T, Eriksson M, Fasching PA, Figueroa J, Flesch-Janys D, Flyger H, Gabrielson M, García-Closas M, Giles GG, González-Neira A, Guénel P, Guo Q, Gündert M, Haiman CA, Hallberg E, Hamann U, Harrington P, Hooning MJ, Hopper JL, Huang G, Jakubowska A, Jones ME, Kerin MJ, Kosma VM, Kristensen VN, Lambrechts D, Le Marchand L, Lubinski J, Mannermaa A, Martens JWM, Meindl A, Milne RL, Mulligan AM, Neuhausen SL, Nevanlinna H, Peto J, Pylkäs K, Radice P, Rhenius V, Sawyer EJ, Schmidt MK, Schmutzler RK, Seynaeve C, Shah M, Simard J, Southey MC, Swerdlow AJ, Truong T, Wendt C, Winqvist R, Zheng W, Benitez J, Dunning AM, Pharoah PDP, Easton DF, Czene K, Hall P, and Lindblom A
- Abstract
Most non- BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD >2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene., Competing Interests: CONFLICTS OF INTEREST The authors declare that they have no competing interests.
- Published
- 2017
- Full Text
- View/download PDF
19. Frequent GU wobble pairings reduce translation efficiency in Plasmodium falciparum.
- Author
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Chan S, Ch'ng JH, Wahlgren M, and Thutkawkorapin J
- Subjects
- Asparagine genetics, Base Composition, Evolution, Molecular, Exons, Gene Expression Regulation, Genes, Reporter, Repetitive Sequences, Nucleic Acid, Selection, Genetic, Anticodon, Base Pairing, Codon, Plasmodium falciparum genetics, Protein Biosynthesis
- Abstract
Plasmodium falciparum genome has 81% A+T content. This nucleotide bias leads to extreme codon usage bias and culminates in frequent insertion of asparagine homorepeats in the proteome. Using recodonized GFP sequences, we show that codons decoded via G:U wobble pairing are suboptimal codons that are negatively associated to protein translation efficiency. Despite this, one third of all codons in the genome are GU wobble codons, suggesting that codon usage in P. falciparum has not been driven to maximize translation efficiency, but may have evolved as translational regulatory mechanism. Particularly, asparagine homorepeats are generally encoded by locally clustered GU wobble AAT codons, we demonstrated that this GU wobble-rich codon context is the determining factor that causes reduction of protein level. Moreover, insertion of clustered AAT codons also causes destabilization of the transcripts. Interestingly, more frequent asparagine homorepeats insertion is seen in single-exon genes, suggesting transcripts of these genes may have been programmed for rapid mRNA decay to compensate for the inefficiency of mRNA surveillance regulation on intronless genes. To our knowledge, this is the first study that addresses P. falciparum codon usage in vitro and provides new insights on translational regulation and genome evolution of this parasite.
- Published
- 2017
- Full Text
- View/download PDF
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