Search

Your search keyword '"Shukla, Vallari"' showing total 15 results
Start Over Author "Shukla, Vallari"
15 results on '"Shukla, Vallari"'

1. Genetic insights into biological mechanisms governing human ovarian ageing

Author

Ruth, Katherine S, Day, Felix R, Hussain, Jazib, Martínez-Marchal, Ana, Aiken, Catherine E, Azad, Ajuna, Thompson, Deborah J, Knoblochova, Lucie, Abe, Hironori, Tarry-Adkins, Jane L, Gonzalez, Javier Martin, Fontanillas, Pierre, Claringbould, Annique, Bakker, Olivier B, Sulem, Patrick, Walters, Robin G, Terao, Chikashi, Turon, Sandra, Horikoshi, Momoko, Lin, Kuang, Onland-Moret, N Charlotte, Sankar, Aditya, Hertz, Emil Peter Thrane, Timshel, Pascal N, Shukla, Vallari, Borup, Rehannah, Olsen, Kristina W, Aguilera, Paula, Ferrer-Roda, Mònica, Huang, Yan, Stankovic, Stasa, Timmers, Paul RHJ, Ahearn, Thomas U, Alizadeh, Behrooz Z, Naderi, Elnaz, Andrulis, Irene L, Arnold, Alice M, Aronson, Kristan J, Augustinsson, Annelie, Bandinelli, Stefania, Barbieri, Caterina M, Beaumont, Robin N, Becher, Heiko, Beckmann, Matthias W, Benonisdottir, Stefania, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E, Bolla, Manjeet K, Boomsma, Dorret I, Bowker, Nicholas, Brody, Jennifer A, Broer, Linda, Buring, Julie E, Campbell, Archie, Campbell, Harry, Castelao, Jose E, Catamo, Eulalia, Chanock, Stephen J, Chenevix-Trench, Georgia, Ciullo, Marina, Corre, Tanguy, Couch, Fergus J, Cox, Angela, Crisponi, Laura, Cross, Simon S, Cucca, Francesco, Czene, Kamila, Smith, George Davey, de Geus, Eco JCN, de Mutsert, Renée, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Dunning, Alison M, Dwek, Miriam, Eriksson, Mikael, Esko, Tõnu, Fasching, Peter A, Faul, Jessica D, Ferrucci, Luigi, Franceschini, Nora, Frayling, Timothy M, Gago-Dominguez, Manuela, Mezzavilla, Massimo, García-Closas, Montserrat, Gieger, Christian, Giles, Graham G, Grallert, Harald, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hayward, Caroline, He, Chunyan, He, Wei, and Heiss, Gerardo

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Contraception/Reproduction, Estrogen, Prevention, Aging, Infertility, Women's Health, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Good Health and Well Being, Adult, Alleles, Animals, Bone and Bones, Checkpoint Kinase 1, Checkpoint Kinase 2, Diabetes Mellitus, Type 2, Diet, Europe, Asia, Eastern, Female, Fertility, Fragile X Mental Retardation Protein, Genetic Predisposition to Disease, Genome-Wide Association Study, Healthy Aging, Humans, Longevity, Menopause, Menopause, Premature, Mice, Mice, Inbred C57BL, Middle Aged, Ovary, Primary Ovarian Insufficiency, Uterus, Biobank-based Integrative Omics Study (BIOS) Consortium, eQTLGen Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, kConFab Investigators, LifeLines Cohort Study, InterAct consortium, 23andMe Research Team, General Science & Technology
Abstract

Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, 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 premutations3. 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.

Published
2021

2. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus

Author

Mathieson, Iain, Day, Felix R., Barban, Nicola, Tropf, Felix C., Brazel, David M., Vaez, Ahmad, van Zuydam, Natalie, Bitarello, Bárbara D., Gardner, Eugene J., Akimova, Evelina T., Azad, Ajuna, Bergmann, Sven, Bielak, Lawrence F., Boomsma, Dorret I., Bosak, Kristina, Brumat, Marco, Buring, Julie E., Cesarini, David, Chasman, Daniel I., Chavarro, Jorge E., Cocca, Massimiliano, Concas, Maria Pina, Davey Smith, George, Davies, Gail, Deary, Ian J., Esko, Tõnu, Faul, Jessica D., Franco, Oscar, Ganna, Andrea, Gaskins, Audrey J., Gelemanovic, Andrea, de Geus, Eco J. C., Gieger, Christian, Girotto, Giorgia, Gopinath, Bamini, Grabe, Hans Jörgen, Gunderson, Erica P., Hayward, Caroline, He, Chunyan, van Heemst, Diana, Hill, W. David, Hoffmann, Eva R., Homuth, Georg, Hottenga, Jouke Jan, Huang, Hongyang, Hyppӧnen, Elina, Ikram, M. Arfan, Jansen, Rick, Johannesson, Magnus, Kamali, Zoha, Kardia, Sharon L. R., Kavousi, Maryam, Kifley, Annette, Kiiskinen, Tuomo, Kraft, Peter, Kühnel, Brigitte, Langenberg, Claudia, Liew, Gerald, Lind, Penelope A., Luan, Jian’an, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Mbarek, Hamdi, McCarthy, Mark I., McMahon, George, Medland, Sarah E., Meitinger, Thomas, Metspalu, Andres, Mihailov, Evelin, Milani, Lili, Missmer, Stacey A., Mitchell, Paul, Møllegaard, Stine, Mook-Kanamori, Dennis O., Morgan, Anna, van der Most, Peter J., de Mutsert, Renée, Nauck, Matthias, Nolte, Ilja M., Noordam, Raymond, Penninx, Brenda W. J. H., Peters, Annette, Peyser, Patricia A., Polašek, Ozren, Power, Chris, Pribisalic, Ajka, Redmond, Paul, Rich-Edwards, Janet W., Ridker, Paul M., Rietveld, Cornelius A., Ring, Susan M., Rose, Lynda M., Rueedi, Rico, Shukla, Vallari, Smith, Jennifer A., Stankovic, Stasa, Stefánsson, Kári, Stöckl, Doris, Strauch, Konstantin, Swertz, Morris A., Teumer, Alexander, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Turman, Constance, Uitterlinden, André G., Waldenberger, Melanie, Wareham, Nicholas J., Weir, David R., Willemsen, Gonneke, Zhao, Jing Hau, Zhao, Wei, Zhao, Yajie, Snieder, Harold, den Hoed, Marcel, Ong, Ken K., Mills, Melinda C., and Perry, John R. B.

Published
2023
Full Text
View/download PDF

5. Chromosome errors in human eggs shape natural fertility over reproductive life span

Author

Gruhn, Jennifer R., Zielinska, Agata P., Shukla, Vallari, Blanshard, Robert, Capalbo, Antonio, Cimadomo, Danilo, Nikiforov, Dmitry, Chan, Andrew Chi-Ho, Newnham, Louise J., Vogel, Ivan, Scarica, Catello, Krapchev, Marta, Taylor, Deborah, Kristensen, Stine Gry, Cheng, Junping, Ernst, Erik, Bjørn, Anne-Mette Bay, Colmorn, Lotte Berdiin, Blayney, Martyn, Elder, Kay, Liss, Joanna, Hartshorne, Geraldine, Grøndahl, Marie Louise, Rienzi, Laura, Ubaldi, Filippo, McCoy, Rajiv, Lukaszuk, Krzysztof, Andersen, Claus Yding, Schuh, Melina, and Hoffmann, Eva R.

Published
2019

7. Chromosome Errors in Human Eggs Shape Natural Fertility Over Reproductive Life Span

Author

Gruhn, Jennifer R., Zielinska, Agata P., Shukla, Vallari, Blanshard, Robert, Capalbo, Antonio, Cimadomo, Danilo, Nikiforov, Dmitry, Chan, Andrew Chi-Ho, Newnham, Louise J., Vogel, Ivan, Scarica, Catello, Krapchev, Marta, Taylor, Deborah, Kristensen, Stine Gry, Cheng, Junping, Ernst, Erik, Bjørn, Anne-Mette Bay, Colmorn, Lotte Berdiin, Blayney, Martyn, Elder, Kay, Liss, Joanna, Hartshorne, Geraldine, Grøndahl, Marie Louise, Rienzi, Laura, Ubaldi, Filippo, McCoy, Rajiv, Lukaszuk, Krzysztof, Andersen, Claus Yding, Schuh, Melina, and Hoffmann, Eva R.

Published
2020
Full Text
View/download PDF

8. Genetic insights into biological mechanisms governing human ovarian ageing

Author

Ruth, Katherine S., Day, Felix R., Hussain, Jazib, Martinez-Marchal, Ana, Aiken, Catherine E., Azad, Ajuna, Thompson, Deborah J., Knoblochova, Lucie, Abe, Hironori, Tarry-Adkins, Jane L., Gonzalez, Javier Martin, Fontanillas, Pierre, Claringbould, Annique, Bakker, Olivier B., Sulem, Patrick, Walters, Robin G., Terao, Chikash, Turon, Sandra, Horikoshi, Momoko, Lin, Kuang, Onland-Moret, N. Charlotte, Sankar, Aditya, Hertz, Emil Peter Thrane, Timshel, Pascal N., Shukla, Vallari, Borup, Rehannah, Olsen, Kristina W., Aguilera, Paula, Ferrer-Roda, Monica, Huang, Yan, Stankovic, Stasa, Timmers, Paul R. H. J., Ahearn, Thomas U., Alizadeh, Behrooz Z., Naderi, Elnaz, Andrulis, Irene L., Arnold, Alice M., Aronson, Kristan J., Augustinsson, Annelie, Bojesen, Stig E., Hoffding, Miya K., Shrikhande, Amruta, Pers, Tune H., Grøndahl, Marie Louise, Andersen, Claus Yding, Lopez-Contreras, Andres J., Daniel, Jeremy A., Hoffmann, Eva R., Ruth, Katherine S., Day, Felix R., Hussain, Jazib, Martinez-Marchal, Ana, Aiken, Catherine E., Azad, Ajuna, Thompson, Deborah J., Knoblochova, Lucie, Abe, Hironori, Tarry-Adkins, Jane L., Gonzalez, Javier Martin, Fontanillas, Pierre, Claringbould, Annique, Bakker, Olivier B., Sulem, Patrick, Walters, Robin G., Terao, Chikash, Turon, Sandra, Horikoshi, Momoko, Lin, Kuang, Onland-Moret, N. Charlotte, Sankar, Aditya, Hertz, Emil Peter Thrane, Timshel, Pascal N., Shukla, Vallari, Borup, Rehannah, Olsen, Kristina W., Aguilera, Paula, Ferrer-Roda, Monica, Huang, Yan, Stankovic, Stasa, Timmers, Paul R. H. J., Ahearn, Thomas U., Alizadeh, Behrooz Z., Naderi, Elnaz, Andrulis, Irene L., Arnold, Alice M., Aronson, Kristan J., Augustinsson, Annelie, Bojesen, Stig E., Hoffding, Miya K., Shrikhande, Amruta, Pers, Tune H., Grøndahl, Marie Louise, Andersen, Claus Yding, Lopez-Contreras, Andres J., Daniel, Jeremy A., and Hoffmann, Eva R.

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 in approximately 200,000 women of European ancestry. These common alleles were associated with clinical extremes of age at natural menopause; 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.

Published
2021

9. Preconception genome medicine:current state and future perspectives to improve infertility diagnosis and reproductive and health outcomes based on individual genomic data

Author

Capalbo, Antonio, Poli, Maurizio, Riera-Escamilla, Antoni, Shukla, Vallari, Kudo Høffding, Miya, Krausz, Csilla, Hoffmann, Eva R, Simon, Carlos, Capalbo, Antonio, Poli, Maurizio, Riera-Escamilla, Antoni, Shukla, Vallari, Kudo Høffding, Miya, Krausz, Csilla, Hoffmann, Eva R, and Simon, Carlos

Abstract

BACKGROUND: Our genetic code is now readable, writable and hackable. The recent escalation of genome-wide sequencing (GS) applications in population diagnostics will not only enable the assessment of risks of transmitting well-defined monogenic disorders at preconceptional stages (i.e. carrier screening), but also facilitate identification of multifactorial genetic predispositions to sub-lethal pathologies, including those affecting reproductive fitness. Through GS, the acquisition and curation of reproductive-related findings will warrant the expansion of genetic assessment to new areas of genomic prediction of reproductive phenotypes, pharmacogenomics and molecular embryology, further boosting our knowledge and therapeutic tools for treating infertility and improving women's health.OBJECTIVE AND RATIONALE: In this article, we review current knowledge and potential development of preconception genome analysis aimed at detecting reproductive and individual health risks (recessive genetic disease and medically actionable secondary findings) as well as anticipating specific reproductive outcomes, particularly in the context of IVF. The extension of reproductive genetic risk assessment to the general population and IVF couples will lead to the identification of couples who carry recessive mutations, as well as sub-lethal conditions prior to conception. This approach will provide increased reproductive autonomy to couples, particularly in those cases where preimplantation genetic testing is an available option to avoid the transmission of undesirable conditions. In addition, GS on prospective infertility patients will enable genome-wide association studies specific for infertility phenotypes such as predisposition to premature ovarian failure, increased risk of aneuploidies, complete oocyte immaturity or blastocyst development failure, thus empowering the development of true reproductive precision medicine.SEARCH METHODS: Searches of the literature on P

Published
2021

11. Chromosome errors in human eggs shape natural fertility over reproductive life span

Author

Gruhn, Jennifer R, Zielinska, Agata P, Shukla, Vallari, Blanshard, Robert, Capalbo, Antonio, Cimadomo, Danilo, Nikiforov, Dmitry, Chan, Andrew Chi-Ho, Newnham, Louise J, Vogel, Ivan, Scarica, Catello, Krapchev, Marta, Taylor, Deborah, Kristensen, Stine Gry, Cheng, Junping, Ernst, Erik, Bjørn, Anne-Mette Bay, Colmorn, Lotte Berdiin, Blayney, Martyn, Elder, Kay, Liss, Joanna, Hartshorne, Geraldine, Grøndahl, Marie Louise, Rienzi, Laura, Ubaldi, Filippo, McCoy, Rajiv, Lukaszuk, Krzysztof, Andersen, Claus Yding, Schuh, Melina, Hoffmann, Eva R, Gruhn, Jennifer R, Zielinska, Agata P, Shukla, Vallari, Blanshard, Robert, Capalbo, Antonio, Cimadomo, Danilo, Nikiforov, Dmitry, Chan, Andrew Chi-Ho, Newnham, Louise J, Vogel, Ivan, Scarica, Catello, Krapchev, Marta, Taylor, Deborah, Kristensen, Stine Gry, Cheng, Junping, Ernst, Erik, Bjørn, Anne-Mette Bay, Colmorn, Lotte Berdiin, Blayney, Martyn, Elder, Kay, Liss, Joanna, Hartshorne, Geraldine, Grøndahl, Marie Louise, Rienzi, Laura, Ubaldi, Filippo, McCoy, Rajiv, Lukaszuk, Krzysztof, Andersen, Claus Yding, Schuh, Melina, and Hoffmann, Eva R

Abstract

Chromosome errors, or aneuploidy, affect an exceptionally high number of human conceptions, causing pregnancy loss and congenital disorders. Here, we have followed chromosome segregation in human oocytes from females aged 9 to 43 years and report that aneuploidy follows a U-curve. Specific segregation error types show different age dependencies, providing a quantitative explanation for the U-curve. Whole-chromosome nondisjunction events are preferentially associated with increased aneuploidy in young girls, whereas centromeric and more extensive cohesion loss limit fertility as women age. Our findings suggest that chromosomal errors originating in oocytes determine the curve of natural fertility in humans.

Published
2019

12. Preconception genome medicine: current state and future perspectives to improve infertility diagnosis and reproductive and health outcomes based on individual genomic data.

Author

Capalbo, Antonio, Poli, Maurizio, Riera-Escamilla, Antoni, Shukla, Vallari, Høffding, Miya Kudo, Krausz, Csilla, Hoffmann, Eva R, Simon, Carlos, and Kudo Høffding, Miya

Subjects
INFERTILITY, REPRODUCTIVE health, EMBRYOLOGY, DIAGNOSIS, FERTILIZATION (Biology), GENOMICS, NUCLEOTIDE sequencing, INFERTILITY treatment, RESEARCH, SEQUENCE analysis, RESEARCH methodology, EVALUATION research, COMPARATIVE studies, LONGITUDINAL method
Abstract

Background: Our genetic code is now readable, writable and hackable. The recent escalation of genome-wide sequencing (GS) applications in population diagnostics will not only enable the assessment of risks of transmitting well-defined monogenic disorders at preconceptional stages (i.e. carrier screening), but also facilitate identification of multifactorial genetic predispositions to sub-lethal pathologies, including those affecting reproductive fitness. Through GS, the acquisition and curation of reproductive-related findings will warrant the expansion of genetic assessment to new areas of genomic prediction of reproductive phenotypes, pharmacogenomics and molecular embryology, further boosting our knowledge and therapeutic tools for treating infertility and improving women's health.Objective and Rationale: In this article, we review current knowledge and potential development of preconception genome analysis aimed at detecting reproductive and individual health risks (recessive genetic disease and medically actionable secondary findings) as well as anticipating specific reproductive outcomes, particularly in the context of IVF. The extension of reproductive genetic risk assessment to the general population and IVF couples will lead to the identification of couples who carry recessive mutations, as well as sub-lethal conditions prior to conception. This approach will provide increased reproductive autonomy to couples, particularly in those cases where preimplantation genetic testing is an available option to avoid the transmission of undesirable conditions. In addition, GS on prospective infertility patients will enable genome-wide association studies specific for infertility phenotypes such as predisposition to premature ovarian failure, increased risk of aneuploidies, complete oocyte immaturity or blastocyst development failure, thus empowering the development of true reproductive precision medicine.Search Methods: Searches of the literature on PubMed Central included combinations of the following MeSH terms: human, genetics, genomics, variants, male, female, fertility, next generation sequencing, genome exome sequencing, expanded carrier screening, secondary findings, pharmacogenomics, controlled ovarian stimulation, preconception, genetics, genome-wide association studies, GWAS.Outcomes: Through PubMed Central queries, we identified a total of 1409 articles. The full list of articles was assessed for date of publication, limiting the search to studies published within the last 15 years (2004 onwards due to escalating research output of next-generation sequencing studies from that date). The remaining articles' titles were assessed for pertinence to the topic, leaving a total of 644 articles. The use of preconception GS has the potential to identify inheritable genetic conditions concealed in the genome of around 4% of couples looking to conceive. Genomic information during reproductive age will also be useful to anticipate late-onset medically actionable conditions with strong genetic background in around 2-4% of all individuals. Genetic variants correlated with differential response to pharmaceutical treatment in IVF, and clear genotype-phenotype associations are found for aberrant sperm types, oocyte maturation, fertilization or pre- and post-implantation embryonic development. All currently known capabilities of GS at the preconception stage are reviewed along with persisting and forthcoming barriers for the implementation of precise reproductive medicine.Wider Implications: The expansion of sequencing analysis to additional monogenic and polygenic traits may enable the development of cost-effective preconception tests capable of identifying underlying genetic causes of infertility, which have been defined as 'unexplained' until now, thus leading to the development of a true personalized genomic medicine framework in reproductive health. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

14. Shukla, Vallari

Author

Shukla, Vallari and Shukla, Vallari

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results