Search

Your search keyword '"Crisponi L"' showing total 6 results
Start Over Author "Crisponi L" Publisher nature publishing group
6 results on '"Crisponi L"'

1. Corrigendum: Rare coding variants and X-linked loci associated with age at menarche

Author

Lunetta, K.L., Day, F.R., Sulem, P., Ruth, K.S., Tung, J.Y., Hinds, D.A., Esko, T., Elks, C.E., Altmaier, E., He, C., Huffman, J.E., Mihailov, E., Porcu, E., Robino, A., Rose, L.M., Schick, U.M., Stolk, L., Teumer, A., Thompson, D.J., Traglia, M., Wang, C.A., Yerges-Armstrong, L.M., Antoniou, A.C., Barbieri, C., Coviello, A.D., Cucca, F., Demerath, E.W., Dunning, A.M., Gandin, I., Grove, M.L., Gudbjartsson, D.F., Hocking, L.J., Hofman, A., Huang, J., Jackson, R.D., Karasik, D., Kriebel, J., Lange, E.M., Lange, L.A., Langenberg, C., Li, X., Luan, J., Mägi, R., Morrison, A.C., Padmanabhan, S., Pirie, A., Polasek, O., Porteous, D.J., Reiner, A.P., Rivadeneira, F., Rudan, I., Sala, C.F., Schlessinger, D., Scott, R.A., Stöckl, D., Visser, J.A., Völker, U., Vozzi, D., Wilson, J.G., Zygmunt, M., EPIC-Interact Consortium (), Generation Scotland Consortium (), Boerwinkle, E., Buring, J.E., Crisponi, L., Easton, D.F., Hayward, C., Hu, F.B., Liu, S., Metspalu, A., Pennell, C.E., Ridker, P.M., Strauch, K., Streeten, E.A., Toniolo, D., Uitterlinden, A.G., Ulivi, S., Völzke, H., Wareham, N.J., Wellons, M., Franceschini, N., Chasman, D.I., Thorsteinsdottir, U., Murray, A., Stefansson, K., Murabito, J.M., Ong, K.K., and Perry, J.R.

Subjects
Adult, Adolescent, Genotype, Mutation, Missense, Immunoglobulins, Cell Cycle Proteins, Penetrance, AMP-Activated Protein Kinases, Autoantigens, White People, Young Adult, Gene Frequency, Genes, X-Linked, Humans, Aged, Menarche, Chromosomes, Human, X, Hypogonadism, Fatty Acids, Age Factors, Genetic Variation, Membrane Proteins, Proteins, RNA-Binding Proteins, Receptors, Neurokinin-3, Middle Aged, Corrigenda, Amides, Phenotype, Codon, Nonsense, Female, RNA Interference, Laminin, Energy Metabolism, Signal Transduction
Abstract

More than 100 loci have been identified for age at menarche by genome-wide association studies; however, collectively these explain only ∼3% of the trait variance. Here we test two overlooked sources of variation in 192,974 European ancestry women: low-frequency protein-coding variants and X-chromosome variants. Five missense/nonsense variants (in ALMS1/LAMB2/TNRC6A/TACR3/PRKAG1) are associated with age at menarche (minor allele frequencies 0.08-4.6%; effect sizes 0.08-1.25 years per allele; P5 × 10(-8)). In addition, we identify common X-chromosome loci at IGSF1 (rs762080, P=9.4 × 10(-13)) and FAAH2 (rs5914101, P=4.9 × 10(-10)). Highlighted genes implicate cellular energy homeostasis, post-transcriptional gene silencing and fatty-acid amide signalling. A frequently reported mutation in TACR3 for idiopathic hypogonatrophic hypogonadism (p.W275X) is associated with 1.25-year-later menarche (P=2.8 × 10(-11)), illustrating the utility of population studies to estimate the penetrance of reportedly pathogenic mutations. Collectively, these novel variants explain ∼0.5% variance, indicating that these overlooked sources of variation do not substantially explain the 'missing heritability' of this complex trait.

Published
2015

2. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Author

Day, FR, Thompson, DJ, Helgason, H, Chasman, DI, Finucane, H, Sulem, P, Ruth, KS, Whalen, S, Sarkar, AK, Albrecht, E, Altmaier, E, Amini, M, Barbieri, CM, Boutin, T, Campbell, A, Demerath, E, Giri, A, He, C, Hottenga, JJ, Karlsson, R, Kolcic, I, Loh, P-R, Lunetta, KL, Mangino, M, Marco, B, McMahon, G, Medland, SE, Nolte, IM, Noordam, R, Nutile, T, Paternoster, L, Perjakova, N, Porcu, E, Rose, LM, Schraut, KE, Segrè, AV, Smith, AV, Stolk, L, Teumer, A, Andrulis, IL, Bandinelli, S, Beckmann, MW, Benitez, J, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Brand, JS, Brauch, H, Brenner, H, Broer, L, Brüning, T, Buring, JE, Campbell, H, Catamo, E, Chanock, S, Chenevix-Trench, G, Corre, T, Couch, FJ, Cousminer, DL, Cox, A, Crisponi, L, Czene, K, Davey Smith, G, De Geus, EJCN, De Mutsert, R, De Vivo, I, Dennis, J, Devilee, P, Dos-Santos-Silva, I, Dunning, AM, Eriksson, JG, Fasching, PA, Fernández-Rhodes, L, Ferrucci, L, Flesch-Janys, D, Franke, L, Gabrielson, M, Gandin, I, Giles, GG, Grallert, H, Gudbjartsson, DF, Guénel, P, Hall, P, Hallberg, E, Hamann, U, Harris, TB, Hartman, CA, Heiss, G, Hooning, MJ, Hopper, JL, Hu, F, Hunter, DJ, Ikram, MA, Im, HK, Järvelin, M-R, Joshi, PK, Karasik, D, Kellis, M, Kutalik, Z, LaChance, G, Lambrechts, D, Langenberg, C, Launer, LJ, Laven, JSE, Lenarduzzi, S, Li, J, Lind, PA, Lindstrom, S, Liu, Y, Luan, J, Mägi, R, Mannermaa, A, Mbarek, H, McCarthy, MI, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Michailidou, K, Milani, L, Milne, RL, Montgomery, GW, Mulligan, AM, Nalls, MA, Navarro, P, Nevanlinna, H, Nyholt, DR, Oldehinkel, AJ, O'Mara, TA, Padmanabhan, S, Palotie, A, Pedersen, N, Peters, A, Peto, J, Pharoah, PDP, Pouta, A, Radice, P, Rahman, I, Ring, SM, Robino, A, Rosendaal, FR, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Schmidt, MK, Scott, RA, Shah, M, Sorice, R, Southey, MC, Sovio, U, Stampfer, M, Steri, M, Strauch, K, Tanaka, T, Tikkanen, E, Timpson, NJ, Traglia, M, Truong, T, Tyrer, JP, Uitterlinden, AG, Edwards, DRV, Vitart, V, Völker, U, Vollenweider, P, Wang, Q, Widen, E, Van Dijk, KW, Willemsen, G, Winqvist, R, Wolffenbuttel, BHR, Zhao, JH, Zoledziewska, M, Zygmunt, M, Alizadeh, BZ, Boomsma, DI, Ciullo, M, Cucca, F, Esko, T, Franceschini, N, Gieger, C, Gudnason, V, Hayward, C, Kraft, P, Lawlor, DA, Magnusson, PKE, Martin, NG, Mook-Kanamori, DO, Nohr, EA, Polasek, O, Porteous, D, Price, AL, Ridker, PM, Snieder, H, Spector, TD, Stöckl, D, Toniolo, D, Ulivi, S, Visser, JA, Völzke, H, Wareham, NJ, Wilson, JF, LifeLines Cohort Study, InterAct Consortium, KConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL Consortium, Spurdle, AB, Thorsteindottir, U, Pollard, KS, Easton, DF, Tung, JY, Chang-Claude, J, Hinds, D, Murray, A, Murabito, JM, Stefansson, K, Ong, KK, and Perry, JRB

Subjects
2. Zero hunger, genome-wide association studies, cancer, reproductive disorders, 3. Good health
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project–imputed genotype data in up to ~370,000 women, we identify 389 independent signals (P < 5 × 10$^{−8}$) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ~7.4% of the population variance in age at menarche, corresponding to ~25% of the estimated heritability. We implicate ~250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

3. Genetic insights into biological mechanisms governing human ovarian ageing.

Author

Ruth KS, Day FR, Hussain J, Martínez-Marchal A, Aiken CE, Azad A, Thompson DJ, Knoblochova L, Abe H, Tarry-Adkins JL, Gonzalez JM, Fontanillas P, Claringbould A, Bakker OB, Sulem P, Walters RG, Terao C, Turon S, Horikoshi M, Lin K, Onland-Moret NC, Sankar A, Hertz EPT, Timshel PN, Shukla V, Borup R, Olsen KW, Aguilera P, Ferrer-Roda M, Huang Y, Stankovic S, Timmers PRHJ, Ahearn TU, Alizadeh BZ, Naderi E, Andrulis IL, Arnold AM, Aronson KJ, Augustinsson A, Bandinelli S, Barbieri CM, Beaumont RN, Becher H, Beckmann MW, Benonisdottir S, Bergmann S, Bochud M, Boerwinkle E, Bojesen SE, Bolla MK, Boomsma DI, Bowker N, Brody JA, Broer L, Buring JE, Campbell A, Campbell H, Castelao JE, Catamo E, Chanock SJ, Chenevix-Trench G, Ciullo M, Corre T, Couch FJ, Cox A, Crisponi L, Cross SS, Cucca F, Czene K, Smith GD, de Geus EJCN, de Mutsert R, De Vivo I, Demerath EW, Dennis J, Dunning AM, Dwek M, Eriksson M, Esko T, Fasching PA, Faul JD, Ferrucci L, Franceschini N, Frayling TM, Gago-Dominguez M, Mezzavilla M, García-Closas M, Gieger C, Giles GG, Grallert H, Gudbjartsson DF, Gudnason V, Guénel P, Haiman CA, Håkansson N, Hall P, Hayward C, He C, He W, Heiss G, Høffding MK, Hopper JL, Hottenga JJ, Hu F, Hunter D, Ikram MA, Jackson RD, Joaquim MDR, John EM, Joshi PK, Karasik D, Kardia SLR, Kartsonaki C, Karlsson R, Kitahara CM, Kolcic I, Kooperberg C, Kraft P, Kurian AW, Kutalik Z, La Bianca M, LaChance G, Langenberg C, Launer LJ, Laven JSE, Lawlor DA, Le Marchand L, Li J, Lindblom A, Lindstrom S, Lindstrom T, Linet M, Liu Y, Liu S, Luan J, Mägi R, Magnusson PKE, Mangino M, Mannermaa A, Marco B, Marten J, Martin NG, Mbarek H, McKnight B, Medland SE, Meisinger C, Meitinger T, Menni C, Metspalu A, Milani L, Milne RL, Montgomery GW, Mook-Kanamori DO, Mulas A, Mulligan AM, Murray A, Nalls MA, Newman A, Noordam R, Nutile T, Nyholt DR, Olshan AF, Olsson H, Painter JN, Patel AV, Pedersen NL, Perjakova N, Peters A, Peters U, Pharoah PDP, Polasek O, Porcu E, Psaty BM, Rahman I, Rennert G, Rennert HS, Ridker PM, Ring SM, Robino A, Rose LM, Rosendaal FR, Rossouw J, Rudan I, Rueedi R, Ruggiero D, Sala CF, Saloustros E, Sandler DP, Sanna S, Sawyer EJ, Sarnowski C, Schlessinger D, Schmidt MK, Schoemaker MJ, Schraut KE, Scott C, Shekari S, Shrikhande A, Smith AV, Smith BH, Smith JA, Sorice R, Southey MC, Spector TD, Spinelli JJ, Stampfer M, Stöckl D, van Meurs JBJ, Strauch K, Styrkarsdottir U, Swerdlow AJ, Tanaka T, Teras LR, Teumer A, Þorsteinsdottir U, Timpson NJ, Toniolo D, Traglia M, Troester MA, Truong T, Tyrrell J, Uitterlinden AG, Ulivi S, Vachon CM, Vitart V, Völker U, Vollenweider P, Völzke H, Wang Q, Wareham NJ, Weinberg CR, Weir DR, Wilcox AN, van Dijk KW, Willemsen G, Wilson JF, Wolffenbuttel BHR, Wolk A, Wood AR, Zhao W, Zygmunt M, Chen Z, Li L, Franke L, Burgess S, Deelen P, Pers TH, Grøndahl ML, Andersen CY, Pujol A, Lopez-Contreras AJ, Daniel JA, Stefansson K, Chang-Claude J, van der Schouw YT, Lunetta KL, Chasman DI, Easton DF, Visser JA, Ozanne SE, Namekawa SH, Solc P, Murabito JM, Ong KK, Hoffmann ER, Murray A, Roig I, and Perry JRB

Subjects
Adult, Alleles, Animals, Bone and Bones metabolism, Checkpoint Kinase 1 genetics, Checkpoint Kinase 2 genetics, Diabetes Mellitus, Type 2, Diet, Europe ethnology, Asia, Eastern ethnology, Female, Fertility genetics, Fragile X Mental Retardation Protein genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Healthy Aging genetics, Humans, Longevity genetics, Menopause genetics, Menopause, Premature genetics, Mice, Mice, Inbred C57BL, Middle Aged, Primary Ovarian Insufficiency genetics, Uterus, Aging genetics, Ovary metabolism
Abstract

Reproductive longevity is essential for fertility and influences healthy ageing in women 1,2 , but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations 3 . The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2021
Full Text
View/download PDF

4. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.

Author

Perry JR, Day F, Elks CE, Sulem P, Thompson DJ, Ferreira T, He C, Chasman DI, Esko T, Thorleifsson G, Albrecht E, Ang WQ, Corre T, Cousminer DL, Feenstra B, Franceschini N, Ganna A, Johnson AD, Kjellqvist S, Lunetta KL, McMahon G, Nolte IM, Paternoster L, Porcu E, Smith AV, Stolk L, Teumer A, Tšernikova N, Tikkanen E, Ulivi S, Wagner EK, Amin N, Bierut LJ, Byrne EM, Hottenga JJ, Koller DL, Mangino M, Pers TH, Yerges-Armstrong LM, Zhao JH, Andrulis IL, Anton-Culver H, Atsma F, Bandinelli S, Beckmann MW, Benitez J, Blomqvist C, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Brenner H, Buring JE, Chang-Claude J, Chanock S, Chen J, Chenevix-Trench G, Collée JM, Couch FJ, Couper D, Coveillo AD, Cox A, Czene K, D'adamo AP, Smith GD, De Vivo I, Demerath EW, Dennis J, Devilee P, Dieffenbach AK, Dunning AM, Eiriksdottir G, Eriksson JG, Fasching PA, Ferrucci L, Flesch-Janys D, Flyger H, Foroud T, Franke L, Garcia ME, García-Closas M, Geller F, de Geus EE, Giles GG, Gudbjartsson DF, Gudnason V, Guénel P, Guo S, Hall P, Hamann U, Haring R, Hartman CA, Heath AC, Hofman A, Hooning MJ, Hopper JL, Hu FB, Hunter DJ, Karasik D, Kiel DP, Knight JA, Kosma VM, Kutalik Z, Lai S, Lambrechts D, Lindblom A, Mägi R, Magnusson PK, Mannermaa A, Martin NG, Masson G, McArdle PF, McArdle WL, Melbye M, Michailidou K, Mihailov E, Milani L, Milne RL, Nevanlinna H, Neven P, Nohr EA, Oldehinkel AJ, Oostra BA, Palotie A, Peacock M, Pedersen NL, Peterlongo P, Peto J, Pharoah PD, Postma DS, Pouta A, Pylkäs K, Radice P, Ring S, Rivadeneira F, Robino A, Rose LM, Rudolph A, Salomaa V, Sanna S, Schlessinger D, Schmidt MK, Southey MC, Sovio U, Stampfer MJ, Stöckl D, Storniolo AM, Timpson NJ, Tyrer J, Visser JA, Vollenweider P, Völzke H, Waeber G, Waldenberger M, Wallaschofski H, Wang Q, Willemsen G, Winqvist R, Wolffenbuttel BH, Wright MJ, Boomsma DI, Econs MJ, Khaw KT, Loos RJ, McCarthy MI, Montgomery GW, Rice JP, Streeten EA, Thorsteinsdottir U, van Duijn CM, Alizadeh BZ, Bergmann S, Boerwinkle E, Boyd HA, Crisponi L, Gasparini P, Gieger C, Harris TB, Ingelsson E, Järvelin MR, Kraft P, Lawlor D, Metspalu A, Pennell CE, Ridker PM, Snieder H, Sørensen TI, Spector TD, Strachan DP, Uitterlinden AG, Wareham NJ, Widen E, Zygmunt M, Murray A, Easton DF, Stefansson K, Murabito JM, and Ong KK

Subjects
Adolescent, Age Factors, Body Mass Index, Breast Neoplasms genetics, Calcium-Binding Proteins, Cardiovascular Diseases genetics, Child, Diabetes Mellitus, Type 2 genetics, Europe ethnology, Female, Genome-Wide Association Study, Genomic Imprinting genetics, Humans, Hypothalamo-Hypophyseal System physiology, Intercellular Signaling Peptides and Proteins genetics, Male, Membrane Proteins genetics, Obesity genetics, Ovary physiology, Polymorphism, Single Nucleotide genetics, Potassium Channels, Tandem Pore Domain genetics, Proteins genetics, Quantitative Trait Loci genetics, Receptors, GABA-B metabolism, Receptors, Retinoic Acid metabolism, Ribonucleoproteins genetics, Ubiquitin-Protein Ligases, Alleles, Genetic Loci genetics, Menarche genetics, Parents
Abstract

Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

Published
2014
Full Text
View/download PDF

5. Differential secretion of the mutated protein is a major component affecting phenotypic severity in CRLF1-associated disorders.

Author

Herholz J, Meloni A, Marongiu M, Chiappe F, Deiana M, Herrero CR, Zampino G, Hamamy H, Zalloum Y, Waaler PE, Crisponi G, Crisponi L, and Rutsch F

Subjects
Adolescent, Amino Acid Sequence, Animals, COS Cells, Child, Child, Preschool, Chlorocebus aethiops, DNA Mutational Analysis, Death, Sudden, Facies, Female, Fever genetics, Hand Deformities, Congenital genetics, Humans, Hyperhidrosis, Infant, Male, Muscle Contraction genetics, Receptors, Cytokine chemistry, Sequence Alignment, Terminology as Topic, Trismus congenital, Trismus genetics, Receptors, Cytokine genetics
Abstract

Crisponi syndrome (CS) and cold-induced sweating syndrome type 1 (CISS1) are disorders caused by mutations in CRLF1. The two syndromes share clinical characteristics, such as dysmorphic features, muscle contractions, scoliosis and cold-induced sweating, with CS patients showing a severe clinical course in infancy involving hyperthermia, associated with death in most cases in the first years of life. To evaluate a potential genotype/phenotype correlation and whether CS and CISS1 represent two allelic diseases or manifestations at different ages of the same disorder, we carried out a detailed clinical analysis of 19 patients carrying mutations in CRLF1. We studied the functional significance of the mutations found in CRLF1, providing evidence that phenotypic severity of the two disorders mainly depends on altered kinetics of secretion of the mutated CRLF1 protein. On the basis of these findings, we believe that the two syndromes, CS and CISS1, represent manifestations of the same disorder, with different degrees of severity. We suggest renaming the two genetic entities CS and CISS1 with the broader term of Sohar-Crisponi syndrome.

Published
2011
Full Text
View/download PDF

6. Two patients with balanced translocations and autistic disorder: CSMD3 as a candidate gene for autism found in their common 8q23 breakpoint area.

Author

Floris C, Rassu S, Boccone L, Gasperini D, Cao A, and Crisponi L

Subjects
Base Sequence, Child, Preschool, Chromosome Fragile Sites, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 6, DNA Primers, Humans, In Situ Hybridization, Fluorescence, Male, Autistic Disorder genetics, Chromosomes, Human, Pair 8, Membrane Proteins genetics, Translocation, Genetic
Abstract

Recent studies estimated a rate of 3-5% of cytogenetic abnormalities involving many different chromosomes in autistic spectrum disorders (ASDs). Here, we report on two unrelated male patients with de novo translocations, autistic behaviour and psychomotor delay. These two patients carry a balanced chromosome translocation t(5;8)(q14.3;q23.3) and t(6;8)(q13;q23.2), respectively. A detailed physical map covering the regions involved in the translocations was constructed using BAC clones mapping on chromosomes 5q14.3, 6q13 and 8q23. Fluorescence in situ hybridisation (FISH) analyses were carried out using these genomic clones. We fine mapped the two translocation breakpoints on chromosomes 8 identifying their position within a short 5 Mb genomic region. Breakpoints on chromosomes 8 in both patients do not interrupt any known gene but both map in a region containing the CSMD3 gene, which thereby can be considered as a candidate for ASDs.

Published
2008
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results