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303 results on '"Murabito A"'

1. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Author: Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, Ong, KK, Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, and Ong, KK
Abstract: Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.
Published: 2024

2. Observation of Alfv\'en Wave Reflection in the Solar Chromosphere: Ponderomotive Force and First Ionization Potential Effect

Author: Murabito, Mariarita, Stangalini, Marco, Laming, J. Martin, Baker, Deborah, To, Andy S. H., Long, David M., Brooks, David H., Jafarzadeh, Shahin, Jess, David B., Valori, Gherardo, Murabito, Mariarita, Stangalini, Marco, Laming, J. Martin, Baker, Deborah, To, Andy S. H., Long, David M., Brooks, David H., Jafarzadeh, Shahin, Jess, David B., and Valori, Gherardo
Abstract: We investigate the propagation of Alfv\'en waves in the solar chromosphere, distinguishing between upward and downward propagating waves. We find clear evidence for the reflection of waves in the chromosphere and differences in propagation between cases with waves interpreted to be resonant or nonresonant with the overlying coronal structures. This establishes the wave connection to coronal element abundance anomalies through the action of the wave ponderomotive force on the chromospheric plasma, which interacts with chromospheric ions but not neutrals, thereby providing a novel mechanism of ion-neutral separation. This is seen as a "First Ionization Potential Effect" when this plasma is lifted into the corona, with implications elsewhere on the Sun for the origin of the slow speed solar wind and its elemental composition., Comment: Accepted for publication in Physical review Letters; 7 pages, 3 figures and 3 pages of supplemental material (non present here, it will be available as link in the journal)
Published: 2024

3. Identifying plasma fractionation processes in the chromosphere using IRIS

Author: Long, David M., Baker, Deborah, To, Andy S. H., van Driel-Gesztelyi, Lidia, Brooks, David H., Stangalini, Marco, Murabito, Mariarita, James, Alexander W., Mathioudakis, Mihalis, Testa, Paola, Long, David M., Baker, Deborah, To, Andy S. H., van Driel-Gesztelyi, Lidia, Brooks, David H., Stangalini, Marco, Murabito, Mariarita, James, Alexander W., Mathioudakis, Mihalis, and Testa, Paola
Abstract: The composition of the solar corona differs from that of the photosphere, with the plasma thought to fractionate in the solar chromosphere according to the First Ionisation Potential (FIP) of the different elements. This produces a FIP bias, wherein elements with a low FIP are preferentially enhanced in the corona compared to their photospheric abundance, but direct observations of this process remain elusive. Here we use a series of spectroscopic observations of Active Region AR 12759 as it transited the solar disc over a period of 6 days from 2-7 April 2020 taken using the Hinode Extreme ultraviolet Imaging Spectrometer (EIS) and Interface Region Imaging Spectrograph (IRIS) instruments to look for signatures of plasma fractionation in the solar chromosphere. Using the Si X/S X and Ca XIV/Ar XIV diagnostics, we find distinct differences between the FIP bias of the leading and following polarities of the active region. The widths of the IRIS Si IV lines exhibited clear differences between the leading and following polarity regions, indicating increased unresolved wave activity in the following polarity region compared to the leading polarity region, with the chromospheric velocities derived using the Mg II lines exhibiting comparable, albeit much weaker, behaviour. These results are consistent with plasma fractionation via resonant/non-resonant waves at different locations in the solar chromosphere following the ponderomotive force model, and indicate that IRIS could be used to further study this fundamental physical process., Comment: 19 pages, 9 figures, accepted for publication in The Astrophysical Journal
Published: 2024

4. Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings : The Framingham Heart Study

Author: Brant, Luisa C. C., Horta Ribeiro, Antônio, Pinto-Filho, Marcelo M., Kornej, Jelena, Preis, Sarah R., Fetterman, Jessica L., Eromosele, Oseiwe B., Magnani, Jared W., Murabito, Joanne M., Larson, Martin G., Benjamin, Emelia J., Ribeiro, Antonio L. P., Lin, Honghuang, Brant, Luisa C. C., Horta Ribeiro, Antônio, Pinto-Filho, Marcelo M., Kornej, Jelena, Preis, Sarah R., Fetterman, Jessica L., Eromosele, Oseiwe B., Magnani, Jared W., Murabito, Joanne M., Larson, Martin G., Benjamin, Emelia J., Ribeiro, Antonio L. P., and Lin, Honghuang
Abstract: BACKGROUND: Deep neural networks have been used to estimate age from ECGs, the electrocardiographic age (ECG-age), which predicts adverse outcomes. However, this prediction ability has been restricted to clinical settings or relatively short periods. We hypothesized that ECG-age is associated with death and cardiovascular outcomes in the long-standing community-based FHS (Framingham Heart Study). METHODS: We tested the association of ECG-age with chronological age in the FHS cohorts in ECGs from 1986 to 2021. We calculated the gap between chronological and ECG-age (& UDelta;age) and classified individuals as having normal, accelerated, or decelerated aging, if & UDelta;age was within, higher, or lower than the mean absolute error of the model, respectively. We assessed the associations of & UDelta;age, accelerated and decelerated aging with death or cardiovascular outcomes (atrial fibrillation, myocardial infarction, and heart failure) using Cox proportional hazards models adjusted for age, sex, and clinical factors. RESULTS:The study population included 9877 FHS participants (mean age, 55 & PLUSMN;13 years; 54.9% women) with 34 948 ECGs. ECG-age was correlated to chronological age (r=0.81; mean absolute error, 9 & PLUSMN;7 years). After 17 & PLUSMN;8 years of follow-up, every 10-year increase of & UDelta;age was associated with 18% increase in all-cause mortality (hazard ratio [HR], 1.18 [95% CI, 1.12-1.23]), 23% increase in atrial fibrillation risk (HR, 1.23 [95% CI, 1.17-1.29]), 14% increase in myocardial infarction risk (HR, 1.14 [95% CI, 1.05-1.23]), and 40% increase in heart failure risk (HR, 1.40 [95% CI, 1.30-1.52]), in multivariable models. In addition, accelerated aging was associated with a 28% increase in all-cause mortality (HR, 1.28 [95% CI, 1.14-1.45]), whereas decelerated aging was associated with a 16% decrease (HR, 0.84 [95% CI, 0.74-0.95]). CONCLUSIONS:ECG-age was highly correlated with chronological age in FHS. The dif
Published: 2023
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5. Proteomic architecture of frailty across the spectrum of cardiovascular disease.

Author: Perry, Andrew, Perry, Andrew, Zhao, Shilin, Gajjar, Priya, Murthy, Venkatesh, Lehallier, Benoit, Miller, Patricia, Nair, Sangeeta, Neill, Colin, Carr, J, Fearon, William, Kapadia, Samir, Kumbhani, Dharam, Gillam, Linda, Lindenfeld, JoAnn, Farrell, Laurie, Marron, Megan, Tian, Qu, Newman, Anne, Murabito, Joanne, Gerszten, Robert, Nayor, Matthew, Lindman, Brian, Shah, Ravi, Elmariah, Sammy, Perry, Andrew, Perry, Andrew, Zhao, Shilin, Gajjar, Priya, Murthy, Venkatesh, Lehallier, Benoit, Miller, Patricia, Nair, Sangeeta, Neill, Colin, Carr, J, Fearon, William, Kapadia, Samir, Kumbhani, Dharam, Gillam, Linda, Lindenfeld, JoAnn, Farrell, Laurie, Marron, Megan, Tian, Qu, Newman, Anne, Murabito, Joanne, Gerszten, Robert, Nayor, Matthew, Lindman, Brian, Shah, Ravi, and Elmariah, Sammy
Abstract: While frailty is a prominent risk factor in an aging population, the underlying biology of frailty is incompletely described. Here, we integrate 979 circulating proteins across a wide range of physiologies with 12 measures of frailty in a prospective discovery cohort of 809 individuals with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation. Our aim was to characterize the proteomic architecture of frailty in a highly susceptible population and study its relation to clinical outcome and systems-wide phenotypes to define potential novel, clinically relevant frailty biology. Proteomic signatures (specifically of physical function) were related to post-intervention outcome in AS, specifying pathways of innate immunity, cell growth/senescence, fibrosis/metabolism, and a host of proteins not widely described in human aging. In published cohorts, the frailty proteome displayed heterogeneous trajectories across age (20-100 years, age only explaining a small fraction of variance) and were associated with cardiac and non-cardiac phenotypes and outcomes across two broad validation cohorts (N > 35,000) over ≈2-3 decades. These findings suggest the importance of precision biomarkers of underlying multi-organ health status in age-related morbidity and frailty.
Published: 2023

6. Deleterious heteroplasmic mitochondrial mutations are associated with an increased risk of overall and cancer-specific mortality.

Author: Hong, Yun, Hong, Yun, Battle, Stephanie, Shi, Wen, Puiu, Daniela, Pillalamarri, Vamsee, Xie, Jiaqi, Pankratz, Nathan, Lake, Nicole, Lek, Monkol, Rich, Stephen, Kooperberg, Charles, Reiner, Alex, Auer, Paul, Heard-Costa, Nancy, Liu, Chunyu, Lai, Meng, Murabito, Joanne, Levy, Daniel, Grove, Megan, Alonso, Alvaro, Gibbs, Richard, Dugan-Perez, Shannon, Gondek, Lukasz, Guallar, Eliseo, Arking, Dan, Rotter, Jerome, Hong, Yun, Hong, Yun, Battle, Stephanie, Shi, Wen, Puiu, Daniela, Pillalamarri, Vamsee, Xie, Jiaqi, Pankratz, Nathan, Lake, Nicole, Lek, Monkol, Rich, Stephen, Kooperberg, Charles, Reiner, Alex, Auer, Paul, Heard-Costa, Nancy, Liu, Chunyu, Lai, Meng, Murabito, Joanne, Levy, Daniel, Grove, Megan, Alonso, Alvaro, Gibbs, Richard, Dugan-Perez, Shannon, Gondek, Lukasz, Guallar, Eliseo, Arking, Dan, and Rotter, Jerome
Abstract: Mitochondria carry their own circular genome and disruption of the mitochondrial genome is associated with various aging-related diseases. Unlike the nuclear genome, mitochondrial DNA (mtDNA) can be present at 1000 s to 10,000 s copies in somatic cells and variants may exist in a state of heteroplasmy, where only a fraction of the DNA molecules harbors a particular variant. We quantify mtDNA heteroplasmy in 194,871 participants in the UK Biobank and find that heteroplasmy is associated with a 1.5-fold increased risk of all-cause mortality. Additionally, we functionally characterize mtDNA single nucleotide variants (SNVs) using a constraint-based score, mitochondrial local constraint score sum (MSS) and find it associated with all-cause mortality, and with the prevalence and incidence of cancer and cancer-related mortality, particularly leukemia. These results indicate that mitochondria may have a functional role in certain cancers, and mitochondrial heteroplasmic SNVs may serve as a prognostic marker for cancer, especially for leukemia.
Published: 2023

7. Dark Halos around Solar Active Regions. I. Emission properties of the Dark Halo around NOAA 12706

Author: Lezzi, Serena Maria, Andretta, Vincenzo, Murabito, Mariarita, Del Zanna, Giulio, Lezzi, Serena Maria, Andretta, Vincenzo, Murabito, Mariarita, and Del Zanna, Giulio
Abstract: Dark areas around active regions (ARs) have been first observed in chromospheric lines more than a century ago and are now associated to the H{\alpha} fibril vortex around ARs. Nowadays, large areas surrounding ARs with reduced emission relative to the Quiet Sun (QS) are also observed in spectral lines emitted in the transition-region (TR) and low-corona. For example, they are clearly seen in the SDO/AIA 171 {\AA} images. We name these chromospheric and TR/coronal dark regions as Dark Halos (DHs). Coronal DHs are poorly studied and, because their origin is still unknown, to date it is not clear if they are related to the chromospheric fibrillar ones. Furthermore, they are often mistaken for Coronal Holes (CHs). Our goal is to characterize the emission properties of a DH by combining, for the first time, chromospheric, TR and coronal observations in order to provide observational constraints for future studies on the origin of DHs. This study also aims at investigating the different properties of DHs and CHs and at providing a quick-look recipe to distinguish between them. We study the DH around AR NOAA 12706 and the southern CH, that were on the disk on 2018 April 22, by analyzing IRIS full-disk mosaics, SDO/AIA filtergrams and SDO/HMI magnetograms. Fibrils are observed all around the AR core in the chromospheric Mg II h&k IRIS mosaics, most clearly in the h3 and k3 features. The TR emission in the DH is much lower compared to QS area, unlike in the CH. Moreover, the DH is much more extended in the low-corona than in the chromospheric Mg II h3 and k3 images. Finally, the intensities, emission measure, spectral profile, non-thermal velocity and average magnetic field strength measurements clearly show that DHs and CHs exhibit different characteristics and therefore should be considered as distinct types of structures on the Sun., Comment: 13 pages, 12 figures; accepted for A&A; degraded images to accomplish size limits
Published: 2023
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8. Investigating the effect of solar ambient and data characteristics on Ca II K observations and line profile measurements

Author: Murabito, M., Ermolli, I., Chatzistergos, T., Jafarzadeh, S., Giorgi, F., van der Voort, L. Rouppe, Murabito, M., Ermolli, I., Chatzistergos, T., Jafarzadeh, S., Giorgi, F., and van der Voort, L. Rouppe
Abstract: We analysed state-of-the-art observations of the solar atmosphere to investigate the dependence of the \ca brightness of several solar features on spectral bandwidth and spatial resolution of the data. Specifically, we study data obtained at the Swedish Solar Telescope with the CRiSP and CHROMIS instruments. The analyzed data, which are characterized by spectral bandwidth of 0.12 \AA \ and spatial resolution of 0.078\arcsec, were acquired close to disc center by targeting a quiet Sun area and an active region. We convolved the original observations with Gaussian kernels to degrade their spectral bandwidth and spatial resolution to the instrumental characteristics of the most prominent series of \ca observations available to date. We then studied the effect of data degradation on the observed regions and on parameters derived from \ca line measurements that are largely employed as diagnostics of the solar and stellar chromospheres. We find that the effect of degrading the spectral resolution of \ca observations and line profiles depends on both the employed bandwidth and observed solar region. Besides, we found that the spatial degradation impacts the data characterized by a broad bandwidth to a larger extent compared to those acquired with a narrow band. However, the appearance of the observed solar regions is only slightly affected by the spatial resolution of data with bandwidths up to 1 \AA \ and in the range [3,10] \AA. Finally, we derived relationships that can be used to intercalibrate results from observations taken with different instruments in diverse regions of the solar atmosphere., Comment: 26 pages, 17 figures, ApJ accepted
Published: 2023
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9. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study.

Author: Wang, Yuxuan, Wang, Yuxuan, Selvaraj, Margaret, Li, Xihao, Li, Zilin, Holdcraft, Jacob, Arnett, Donna, Bis, Joshua, Blangero, John, Boerwinkle, Eric, Bowden, Donald, Cade, Brian, Carlson, Jenna, Carson, April, Chen, Yii-Der, Curran, Joanne, de Vries, Paul, Dutcher, Susan, Ellinor, Patrick, Floyd, James, Fornage, Myriam, Freedman, Barry, Gabriel, Stacey, Germer, Soren, Gibbs, Richard, Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite, Joehanes, Roby, Kaplan, Robert, Kardia, Sharon, Kelly, Tanika, Kim, Ryan, Kooperberg, Charles, Kral, Brian, Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth, Mahaney, Michael, Martin, Lisa, Mathias, Rasika, Minster, Ryan, Mitchell, Braxton, Montasser, May, Morrison, Alanna, Murabito, Joanne, Naseri, Take, OConnell, Jeffrey, Palmer, Nicholette, Preuss, Michael, Psaty, Bruce, Raffield, Laura, Rao, Dabeeru, Redline, Susan, Reiner, Alexander, Rich, Stephen, Ruepena, Muagututia, Sheu, Wayne, Smith, Jennifer, Smith, Albert, Tiwari, Hemant, Tsai, Michael, Viaud-Martinez, Karine, Wang, Zhe, Yanek, Lisa, Zhao, Wei, Lin, Xihong, Natarajan, Pradeep, Peloso, Gina, Rotter, Jerome, Wang, Yuxuan, Wang, Yuxuan, Selvaraj, Margaret, Li, Xihao, Li, Zilin, Holdcraft, Jacob, Arnett, Donna, Bis, Joshua, Blangero, John, Boerwinkle, Eric, Bowden, Donald, Cade, Brian, Carlson, Jenna, Carson, April, Chen, Yii-Der, Curran, Joanne, de Vries, Paul, Dutcher, Susan, Ellinor, Patrick, Floyd, James, Fornage, Myriam, Freedman, Barry, Gabriel, Stacey, Germer, Soren, Gibbs, Richard, Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite, Joehanes, Roby, Kaplan, Robert, Kardia, Sharon, Kelly, Tanika, Kim, Ryan, Kooperberg, Charles, Kral, Brian, Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth, Mahaney, Michael, Martin, Lisa, Mathias, Rasika, Minster, Ryan, Mitchell, Braxton, Montasser, May, Morrison, Alanna, Murabito, Joanne, Naseri, Take, OConnell, Jeffrey, Palmer, Nicholette, Preuss, Michael, Psaty, Bruce, Raffield, Laura, Rao, Dabeeru, Redline, Susan, Reiner, Alexander, Rich, Stephen, Ruepena, Muagututia, Sheu, Wayne, Smith, Jennifer, Smith, Albert, Tiwari, Hemant, Tsai, Michael, Viaud-Martinez, Karine, Wang, Zhe, Yanek, Lisa, Zhao, Wei, Lin, Xihong, Natarajan, Pradeep, Peloso, Gina, and Rotter, Jerome
Abstract: Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare-variant aggregate association tests using the STAAR (variant-set test for association using annotation information) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare-coding variants in nearby protein-coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500-kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variation and rare protein-coding variation at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNAs.
Published: 2023

10. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study

Author: Wang, Yuxuan, Selvaraj, Margaret Sunitha, Li, Xihao, Li, Zilin, Holdcraft, Jacob A., Arnett, Donna K., Bis, Joshua C., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Cade, Brian E., Carlson, Jenna C., Carson, April P., Chen, Yii Der Ida, Curran, Joanne E., de Vries, Paul S., Dutcher, Susan K., Ellinor, Patrick T., Floyd, James S., Fornage, Myriam, Freedman, Barry I., Gabriel, Stacey, Germer, Soren, Gibbs, Richard A., Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite R., Joehanes, Roby, Kaplan, Robert C., Kardia, Sharon LR, Kelly, Tanika N., Kim, Ryan, Kooperberg, Charles, Kral, Brian G., Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth J.F., Mahaney, Michael C., Martin, Lisa W., Mathias, Rasika A., Minster, Ryan L., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., Murabito, Joanne M., Wang, Yuxuan, Selvaraj, Margaret Sunitha, Li, Xihao, Li, Zilin, Holdcraft, Jacob A., Arnett, Donna K., Bis, Joshua C., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Cade, Brian E., Carlson, Jenna C., Carson, April P., Chen, Yii Der Ida, Curran, Joanne E., de Vries, Paul S., Dutcher, Susan K., Ellinor, Patrick T., Floyd, James S., Fornage, Myriam, Freedman, Barry I., Gabriel, Stacey, Germer, Soren, Gibbs, Richard A., Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite R., Joehanes, Roby, Kaplan, Robert C., Kardia, Sharon LR, Kelly, Tanika N., Kim, Ryan, Kooperberg, Charles, Kral, Brian G., Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth J.F., Mahaney, Michael C., Martin, Lisa W., Mathias, Rasika A., Minster, Ryan L., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., and Murabito, Joanne M.
Abstract: Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare-variant aggregate association tests using the STAAR (variant-set test for association using annotation information) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare-coding variants in nearby protein-coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500-kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variation and rare protein-coding variation at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNAs.
Published: 2023

11. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study

Author: Wang, Yuxuan, Selvaraj, Margaret Sunitha, Li, Xihao, Li, Zilin, Holdcraft, Jacob A., Arnett, Donna K., Bis, Joshua C., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Cade, Brian E., Carlson, Jenna C., Carson, April P., Chen, Yii Der Ida, Curran, Joanne E., de Vries, Paul S., Dutcher, Susan K., Ellinor, Patrick T., Floyd, James S., Fornage, Myriam, Freedman, Barry I., Gabriel, Stacey, Germer, Soren, Gibbs, Richard A., Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite R., Joehanes, Roby, Kaplan, Robert C., Kardia, Sharon LR, Kelly, Tanika N., Kim, Ryan, Kooperberg, Charles, Kral, Brian G., Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth J.F., Mahaney, Michael C., Martin, Lisa W., Mathias, Rasika A., Minster, Ryan L., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., Murabito, Joanne M., Wang, Yuxuan, Selvaraj, Margaret Sunitha, Li, Xihao, Li, Zilin, Holdcraft, Jacob A., Arnett, Donna K., Bis, Joshua C., Blangero, John, Boerwinkle, Eric, Bowden, Donald W., Cade, Brian E., Carlson, Jenna C., Carson, April P., Chen, Yii Der Ida, Curran, Joanne E., de Vries, Paul S., Dutcher, Susan K., Ellinor, Patrick T., Floyd, James S., Fornage, Myriam, Freedman, Barry I., Gabriel, Stacey, Germer, Soren, Gibbs, Richard A., Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite R., Joehanes, Roby, Kaplan, Robert C., Kardia, Sharon LR, Kelly, Tanika N., Kim, Ryan, Kooperberg, Charles, Kral, Brian G., Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth J.F., Mahaney, Michael C., Martin, Lisa W., Mathias, Rasika A., Minster, Ryan L., Mitchell, Braxton D., Montasser, May E., Morrison, Alanna C., and Murabito, Joanne M.
Abstract: Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare-variant aggregate association tests using the STAAR (variant-set test for association using annotation information) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare-coding variants in nearby protein-coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500-kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variation and rare protein-coding variation at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNAs.
Published: 2023

12. The importance of horizontal Poynting flux in the solar photosphere

Author: Silva, Suzana S. A., Murabito, Mariarita, Jafarzadeh, Shahin, Stangliani, Marco, Verth, Gary, Ballai, Istvan, Fedun, Viktor, Silva, Suzana S. A., Murabito, Mariarita, Jafarzadeh, Shahin, Stangliani, Marco, Verth, Gary, Ballai, Istvan, and Fedun, Viktor
Abstract: The electromagnetic energy flux in the lower atmosphere of the Sun is a key tool to describe the energy balance of the solar atmosphere. Current investigations on energy flux in the solar atmosphere focus primarily on the vertical electromagnetic flux through the photosphere, ignoring the Poynting flux in other directions and its possible contributions to local heating. Based on a realistic Bifrost simulation of a quiet-Sun (coronal hole) atmosphere, we find that the total electromagnetic energy flux in the photosphere occurs mainly parallel to the photosphere, concentrating in small regions along intergranular lanes. Thereby, it was possible to define a proxy for this energy flux based on only variables that can be promptly retrieved from observations, namely, horizontal velocities of the small-scale magnetic elements and their longitudinal magnetic flux. Our proxy accurately describes the actual Poynting flux distribution in the simulations, with the electromagnetic energy flux reaching $10^{10}$ erg\,cm$^{-2}$\,s$^{-1}$. To validate our findings, we extended the analysis to SUNRISE/IMaX data. First, we show that Bifrost realistically describes photospheric quiet-Sun regions, as the simulation presents similar distributions for line-of-sight magnetic flux and horizontal velocity field. Second, we found very similar horizontal Poynting flux proxy distributions for the simulated photosphere and observational data. Our results also indicate that the horizontal Poynting flux in the observations is considerably larger than the vertical electromagnetic flux from previous observational estimates. Therefore, our analysis confirms that the electromagnetic energy flux in the photosphere is mainly horizontal and is most intense in localized regions along intergranular lanes., Comment: 14 pages, 8 figures Accept for publication in ApJ
Published: 2022
Full Text: View/download PDF

13. IBIS-A: The IBIS data Archive. High resolution observations of the solar photosphere and chromosphere with contextual data

Author: Ermolli, Ilaria, Giorgi, Fabrizio, Murabito, Mariarita, Stangalini, Marco, Guido, Vincenzo, Molinaro, Marco, Romano, Paolo, Guglielmino, Salvatore L., Viavattene, Giorgio, Cauzzi, Gianna, Criscuoli, Serena, Reardon, Kevin P., Tritschler, Alexandra, Ermolli, Ilaria, Giorgi, Fabrizio, Murabito, Mariarita, Stangalini, Marco, Guido, Vincenzo, Molinaro, Marco, Romano, Paolo, Guglielmino, Salvatore L., Viavattene, Giorgio, Cauzzi, Gianna, Criscuoli, Serena, Reardon, Kevin P., and Tritschler, Alexandra
Abstract: The IBIS data Archive (IBIS-A) stores data acquired with the Interferometric BIdimensional Spectropolarimeter (IBIS), which was operated at the Dunn Solar Telescope of the US National Solar Observatory from 2003 to 2019. The instrument provided series of high-resolution narrowband spectropolarimetric imaging observations of the photosphere and chromosphere in the range 5800$-$8600 \AA~ and co-temporal broadband observations in the same spectral range and with the same field of view of the polarimetric data. We present the data currently stored in IBIS-A, as well as the interface utilized to explore such data and facilitate its scientific exploitation. To this purpose we also describe the use of IBIS-A data in recent and undergoing studies relevant to solar physics and space weather research. IBIS-A includes raw and calibrated observations, as well as science-ready data. The latter comprise maps of the circular, linear, and net circular polarization, and of the magnetic and velocity fields derived for a significant fraction of the series available in the archive. IBIS-A furthermore contains links to observations complementary to the IBIS data, such as co-temporal high-resolution observations of the solar atmosphere available from the instruments onboard the Hinode and IRIS satellites, and full-disc multiband images from INAF solar telescopes. IBIS-A currently consists of 30 TB of data taken with IBIS during 28 observing campaigns performed in 2008 and from 2012 to 2019 on 159 days. Metadata and movies of each calibrated and science-ready series are also available to help users evaluating observing conditions. IBIS-A represents a unique resource for investigating the plasma processes in the solar atmosphere and the solar origin of space weather events., Comment: 22 pages, 13 figures, accepted for publication in Astronomy and Astrophysics
Published: 2022

14. Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation.

Author: Longchamps, RJ, Longchamps, RJ, Yang, SY, Castellani, CA, Shi, W, Lane, J, Grove, ML, Bartz, TM, Sarnowski, C, Liu, C, Burrows, K, Guyatt, AL, Gaunt, TR, Kacprowski, T, Yang, J, De Jager, PL, Yu, L, Bergman, A, Xia, R, Fornage, M, Feitosa, MF, Wojczynski, MK, Kraja, AT, Province, MA, Amin, N, Rivadeneira, F, Tiemeier, H, Uitterlinden, AG, Broer, L, Van Meurs, JBJ, Van Duijn, CM, Raffield, LM, Lange, L, Rich, SS, Lemaitre, RN, Goodarzi, MO, Sitlani, CM, Mak, ACY, Bennett, DA, Rodriguez, S, Murabito, JM, Lunetta, KL, Sotoodehnia, N, Atzmon, G, Ye, K, Barzilai, N, Brody, JA, Psaty, BM, Taylor, KD, Rotter, JI, Boerwinkle, E, Pankratz, N, Arking, DE, Longchamps, RJ, Longchamps, RJ, Yang, SY, Castellani, CA, Shi, W, Lane, J, Grove, ML, Bartz, TM, Sarnowski, C, Liu, C, Burrows, K, Guyatt, AL, Gaunt, TR, Kacprowski, T, Yang, J, De Jager, PL, Yu, L, Bergman, A, Xia, R, Fornage, M, Feitosa, MF, Wojczynski, MK, Kraja, AT, Province, MA, Amin, N, Rivadeneira, F, Tiemeier, H, Uitterlinden, AG, Broer, L, Van Meurs, JBJ, Van Duijn, CM, Raffield, LM, Lange, L, Rich, SS, Lemaitre, RN, Goodarzi, MO, Sitlani, CM, Mak, ACY, Bennett, DA, Rodriguez, S, Murabito, JM, Lunetta, KL, Sotoodehnia, N, Atzmon, G, Ye, K, Barzilai, N, Brody, JA, Psaty, BM, Taylor, KD, Rotter, JI, Boerwinkle, E, Pankratz, N, and Arking, DE
Abstract: Mitochondrial DNA copy number (mtDNA-CN) measured from blood specimens is a minimally invasive marker of mitochondrial function that exhibits both inter-individual and intercellular variation. To identify genes involved in regulating mitochondrial function, we performed a genome-wide association study (GWAS) in 465,809 White individuals from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank (UKB). We identified 133 SNPs with statistically significant, independent effects associated with mtDNA-CN across 100 loci. A combination of fine-mapping, variant annotation, and co-localization analyses was used to prioritize genes within each of the 133 independent sites. Putative causal genes were enriched for known mitochondrial DNA depletion syndromes (p = 3.09 × 10-15) and the gene ontology (GO) terms for mtDNA metabolism (p = 1.43 × 10-8) and mtDNA replication (p = 1.2 × 10-7). A clustering approach leveraged pleiotropy between mtDNA-CN associated SNPs and 41 mtDNA-CN associated phenotypes to identify functional domains, revealing three distinct groups, including platelet activation, megakaryocyte proliferation, and mtDNA metabolism. Finally, using mitochondrial SNPs, we establish causal relationships between mitochondrial function and a variety of blood cell-related traits, kidney function, liver function and overall (p = 0.044) and non-cancer mortality (p = 6.56 × 10-4).
Published: 2022

15. The importance of horizontal Poynting flux in the solar photosphere

Author: Silva, Suzana S. A., Murabito, Mariarita, Jafarzadeh, Shahin, Stangliani, Marco, Verth, Gary, Ballai, Istvan, Fedun, Viktor, Silva, Suzana S. A., Murabito, Mariarita, Jafarzadeh, Shahin, Stangliani, Marco, Verth, Gary, Ballai, Istvan, and Fedun, Viktor
Abstract: The electromagnetic energy flux in the lower atmosphere of the Sun is a key tool to describe the energy balance of the solar atmosphere. Current investigations on energy flux in the solar atmosphere focus primarily on the vertical electromagnetic flux through the photosphere, ignoring the Poynting flux in other directions and its possible contributions to local heating. Based on a realistic Bifrost simulation of a quiet-Sun (coronal hole) atmosphere, we find that the total electromagnetic energy flux in the photosphere occurs mainly parallel to the photosphere, concentrating in small regions along intergranular lanes. Thereby, it was possible to define a proxy for this energy flux based on only variables that can be promptly retrieved from observations, namely, horizontal velocities of the small-scale magnetic elements and their longitudinal magnetic flux. Our proxy accurately describes the actual Poynting flux distribution in the simulations, with the electromagnetic energy flux reaching $10^{10}$ erg\,cm$^{-2}$\,s$^{-1}$. To validate our findings, we extended the analysis to SUNRISE/IMaX data. First, we show that Bifrost realistically describes photospheric quiet-Sun regions, as the simulation presents similar distributions for line-of-sight magnetic flux and horizontal velocity field. Second, we found very similar horizontal Poynting flux proxy distributions for the simulated photosphere and observational data. Our results also indicate that the horizontal Poynting flux in the observations is considerably larger than the vertical electromagnetic flux from previous observational estimates. Therefore, our analysis confirms that the electromagnetic energy flux in the photosphere is mainly horizontal and is most intense in localized regions along intergranular lanes., Comment: 14 pages, 8 figures Accept for publication in ApJ
Published: 2022
Full Text: View/download PDF

16. IBIS-A: The IBIS data Archive. High resolution observations of the solar photosphere and chromosphere with contextual data

Author: Ermolli, Ilaria, Giorgi, Fabrizio, Murabito, Mariarita, Stangalini, Marco, Guido, Vincenzo, Molinaro, Marco, Romano, Paolo, Guglielmino, Salvatore L., Viavattene, Giorgio, Cauzzi, Gianna, Criscuoli, Serena, Reardon, Kevin P., Tritschler, Alexandra, Ermolli, Ilaria, Giorgi, Fabrizio, Murabito, Mariarita, Stangalini, Marco, Guido, Vincenzo, Molinaro, Marco, Romano, Paolo, Guglielmino, Salvatore L., Viavattene, Giorgio, Cauzzi, Gianna, Criscuoli, Serena, Reardon, Kevin P., and Tritschler, Alexandra
Abstract: The IBIS data Archive (IBIS-A) stores data acquired with the Interferometric BIdimensional Spectropolarimeter (IBIS), which was operated at the Dunn Solar Telescope of the US National Solar Observatory from 2003 to 2019. The instrument provided series of high-resolution narrowband spectropolarimetric imaging observations of the photosphere and chromosphere in the range 5800$-$8600 \AA~ and co-temporal broadband observations in the same spectral range and with the same field of view of the polarimetric data. We present the data currently stored in IBIS-A, as well as the interface utilized to explore such data and facilitate its scientific exploitation. To this purpose we also describe the use of IBIS-A data in recent and undergoing studies relevant to solar physics and space weather research. IBIS-A includes raw and calibrated observations, as well as science-ready data. The latter comprise maps of the circular, linear, and net circular polarization, and of the magnetic and velocity fields derived for a significant fraction of the series available in the archive. IBIS-A furthermore contains links to observations complementary to the IBIS data, such as co-temporal high-resolution observations of the solar atmosphere available from the instruments onboard the Hinode and IRIS satellites, and full-disc multiband images from INAF solar telescopes. IBIS-A currently consists of 30 TB of data taken with IBIS during 28 observing campaigns performed in 2008 and from 2012 to 2019 on 159 days. Metadata and movies of each calibrated and science-ready series are also available to help users evaluating observing conditions. IBIS-A represents a unique resource for investigating the plasma processes in the solar atmosphere and the solar origin of space weather events., Comment: 22 pages, 13 figures, accepted for publication in Astronomy and Astrophysics
Published: 2022
Full Text: View/download PDF

17. Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation

Author: Longchamps, R. J., Yang, S. Y., Castellani, C. A., Shi, W., Lane, J., Grove, M. L., Bartz, T. M., Sarnowski, C., Liu, C., Burrows, K., Guyatt, A. L., Gaunt, T. R., Kacprowski, T., Yang, J., De Jager, P. L., Yu, L., Bergman, A., Xia, R., Fornage, M., Feitosa, M. F., Wojczynski, M. K., Kraja, A. T., Province, M. A., Amin, N., Rivadeneira, F., Tiemeier, H., Uitterlinden, A. G., Broer, L., Van Meurs, J. B.J., Van Duijn, C. M., Raffield, L. M., Lange, L., Rich, S. S., Lemaitre, R. N., Goodarzi, M. O., Sitlani, C. M., Mak, A.C.Y., Bennett, D. A., Rodriguez, S., Murabito, J. M., Lunetta, K. L., Sotoodehnia, N., Atzmon, G., Ye, K., Barzilai, N., Brody, J. A., Psaty, B. M., Taylor, K. D., Rotter, J. I., Boerwinkle, E., Pankratz, N., Arking, D. E., Longchamps, R. J., Yang, S. Y., Castellani, C. A., Shi, W., Lane, J., Grove, M. L., Bartz, T. M., Sarnowski, C., Liu, C., Burrows, K., Guyatt, A. L., Gaunt, T. R., Kacprowski, T., Yang, J., De Jager, P. L., Yu, L., Bergman, A., Xia, R., Fornage, M., Feitosa, M. F., Wojczynski, M. K., Kraja, A. T., Province, M. A., Amin, N., Rivadeneira, F., Tiemeier, H., Uitterlinden, A. G., Broer, L., Van Meurs, J. B.J., Van Duijn, C. M., Raffield, L. M., Lange, L., Rich, S. S., Lemaitre, R. N., Goodarzi, M. O., Sitlani, C. M., Mak, A.C.Y., Bennett, D. A., Rodriguez, S., Murabito, J. M., Lunetta, K. L., Sotoodehnia, N., Atzmon, G., Ye, K., Barzilai, N., Brody, J. A., Psaty, B. M., Taylor, K. D., Rotter, J. I., Boerwinkle, E., Pankratz, N., and Arking, D. E.
Abstract: Mitochondrial DNA copy number (mtDNA-CN) measured from blood specimens is a minimally invasive marker of mitochondrial function that exhibits both inter-individual and intercellular variation. To identify genes involved in regulating mitochondrial function, we performed a genome-wide association study (GWAS) in 465,809 White individuals from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank (UKB). We identified 133 SNPs with statistically significant, independent effects associated with mtDNA-CN across 100 loci. A combination of fine-mapping, variant annotation, and co-localization analyses was used to prioritize genes within each of the 133 independent sites. Putative causal genes were enriched for known mitochondrial DNA depletion syndromes (p = 3.09 × 10–15) and the gene ontology (GO) terms for mtDNA metabolism (p = 1.43 × 10–8) and mtDNA replication (p = 1.2 × 10–7). A clustering approach leveraged pleiotropy between mtDNA-CN associated SNPs and 41 mtDNA-CN associated phenotypes to identify functional domains, revealing three distinct groups, including platelet activation, megakaryocyte proliferation, and mtDNA metabolism. Finally, using mitochondrial SNPs, we establish causal relationships between mitochondrial function and a variety of blood cell-related traits, kidney function, liver function and overall (p = 0.044) and non-cancer mortality (p = 6.56 × 10–4).
Published: 2022

18. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.

Author: McCartney, Daniel L, McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, Genetics of DNA Methylation Consortium, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, Reiner, Alex P, McCartney, Daniel L, McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, Genetics of DNA Methylation Consortium, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, and Reiner, Alex P
Abstract: BackgroundBiological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field.ResultsLeveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels.ConclusionThis study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.
Published: 2021

19. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Author: Jones, G. (Garan), Trajanoska, K. (Katerina), Santanasto, A.J. (Adam J.), Stringa, N. (Najada), Kuo, C.-L. (Chia-Ling), Atkins, J.L. (Janice L.), Lewis, J.R. (Joshua), Duong, T.V. (ThuyVy), Hong, S. (Shengjun), Biggs, M.L. (M.), Luan, J. (Jian’an), Sarnowski, C., Lunetta, K.L. (Kathryn), Tanaka, T. (Toshiko), Wojczynski, M.K. (Mary ), Cvejkus, R. (Ryan), Nethander, M. (Maria), Ghasemi, S. (Sahar), Yang, J. (Jingyun), Zillikens, M.C. (Carola), Walter, S. (Stefan), Sicinski, K. (Kamil), Kague, E. (Erika), Ackert-Bicknell, C.L. (Cheryl L.), Arking, D.E. (Dan E.), Windham, B.G. (Gwen), Boerwinkle, E.A. (Eric), Grove, M.L. (Megan L.), Graff, M. (Misa), Spira, D. (Dominik), Demuth, I. (Ilja), Velde, N. (Nathalie) van der, de Groot, L.C.P.G.M. (Lisette C. P. G. M.), Psaty, B.M. (Bruce M.), Odden, M.C. (Michelle C.), Fohner, A.E. (Alison E.), Langenberg, C. (Claudia), Wareham, N.J. (Nick), Bandinelli, S. (Stefania), Schoor, N.M. (Natasja) van, Huisman, M. (Martijn), Tan, Q. (Qihua), Zmuda, J. (Joseph), Mellström, D. (Dan), Karlsson, M. (Magnus), Bennett, D.A. (David), Buchman, A.S. (Aron S.), De Jager, P., Uitterlinden, A.G. (Andre G.), Völker, U. (Uwe), Kocher, T. (Thomas), Teumer, A. (Alexander), Rodríguez-Mañas, L. (Leocadio), García, F.J. (Francisco J.), Carnicero, J.A. (José A.), Herd, P. (Pamela), Bertram, L. (Lars), Ohlsson, C. (Claes), Murabito, J. (Joanne), Melzer, D. (David), Kuchel, G.A. (George A.), Ferrucci, L. (Luigi), Karasik, D. (David), Rivadeneira Ramirez, F. (Fernando), Kiel, D.P. (Douglas P.), Pilling, L.C. (Luke C.), Jones, G. (Garan), Trajanoska, K. (Katerina), Santanasto, A.J. (Adam J.), Stringa, N. (Najada), Kuo, C.-L. (Chia-Ling), Atkins, J.L. (Janice L.), Lewis, J.R. (Joshua), Duong, T.V. (ThuyVy), Hong, S. (Shengjun), Biggs, M.L. (M.), Luan, J. (Jian’an), Sarnowski, C., Lunetta, K.L. (Kathryn), Tanaka, T. (Toshiko), Wojczynski, M.K. (Mary ), Cvejkus, R. (Ryan), Nethander, M. (Maria), Ghasemi, S. (Sahar), Yang, J. (Jingyun), Zillikens, M.C. (Carola), Walter, S. (Stefan), Sicinski, K. (Kamil), Kague, E. (Erika), Ackert-Bicknell, C.L. (Cheryl L.), Arking, D.E. (Dan E.), Windham, B.G. (Gwen), Boerwinkle, E.A. (Eric), Grove, M.L. (Megan L.), Graff, M. (Misa), Spira, D. (Dominik), Demuth, I. (Ilja), Velde, N. (Nathalie) van der, de Groot, L.C.P.G.M. (Lisette C. P. G. M.), Psaty, B.M. (Bruce M.), Odden, M.C. (Michelle C.), Fohner, A.E. (Alison E.), Langenberg, C. (Claudia), Wareham, N.J. (Nick), Bandinelli, S. (Stefania), Schoor, N.M. (Natasja) van, Huisman, M. (Martijn), Tan, Q. (Qihua), Zmuda, J. (Joseph), Mellström, D. (Dan), Karlsson, M. (Magnus), Bennett, D.A. (David), Buchman, A.S. (Aron S.), De Jager, P., Uitterlinden, A.G. (Andre G.), Völker, U. (Uwe), Kocher, T. (Thomas), Teumer, A. (Alexander), Rodríguez-Mañas, L. (Leocadio), García, F.J. (Francisco J.), Carnicero, J.A. (José A.), Herd, P. (Pamela), Bertram, L. (Lars), Ohlsson, C. (Claes), Murabito, J. (Joanne), Melzer, D. (David), Kuchel, G.A. (George A.), Ferrucci, L. (Luigi), Karasik, D. (David), Rivadeneira Ramirez, F. (Fernando), Kiel, D.P. (Douglas P.), and Pilling, L.C. (Luke C.)
Abstract: Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1p = 4 × 10−17), arthritis (GDF5p = 4 × 10−13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.
Published: 2021
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20. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.

Author: McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., Marioni R.E., McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., and Marioni R.E.
Abstract: Background: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Result(s): Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. Conclusion(s): This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.Copyright © 2021, The Author(s).
Published: 2021

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

Author: Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., Perry J.R.B., Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., and Perry J.R.B.
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.Copyright © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Published: 2021

22. On the Origin of Magnetic Pertubations associated with the FIP effect

Author: Murabito, M., Stangalini, M., Baker, D., Valori, G., Jess, D. B., Jafarzadeh, S., Brooks, D. H., Ermolli, I., Giorgi, F., Grant, S. D. T., Long, D. M., van Driel-Gesztelyi, L., Murabito, M., Stangalini, M., Baker, D., Valori, G., Jess, D. B., Jafarzadeh, S., Brooks, D. H., Ermolli, I., Giorgi, F., Grant, S. D. T., Long, D. M., and van Driel-Gesztelyi, L.
Abstract: In \citet{Stangalini20} and \citet{Deb20}, magnetic oscillations were detected in the chromosphere of a large sunspot and found to be linked to the coronal locations where a First Ionization Potential (FIP) effect was observed. In an attempt to shed light onto the possible excitation mechanisms of these localized waves, we further investigate the same data by focussing on the relation between the spatial distribution of the magnetic wave power and the overall field geometry and plasma parameters obtained from multi-height spectropolarimetric non-local thermodynamic equilibrium (NLTE) inversions of IBIS data. We find that, in correspondence with the locations where the magnetic wave energy is observed at chromospheric heights, the magnetic fields have smaller scale heights, meaning faster expansions of the field lines, which ultimately results in stronger vertical density stratification and wave steepening. In addition, the acoustic spectrum of the oscillations at the locations where magnetic perturbations are observed is broader than that observed at other locations, which suggests an additional forcing driver to the p-modes. Analysis of the photospheric oscillations in the sunspot surroundings also reveals a broader spectrum in between the two opposite polarities of the active region (the leading spot and the trailing opposite polarity plage), and on the same side where magnetic perturbations are observed in the umbra. We suggest that strong photospheric perturbations in between the two polarities are responsible for this broader spectrum of oscillations, with respect to the $p$-mode spectrum, resulting in locally-excited acoustic waves that, after crossing the equipartition layer, located close to the umbra-penumbra boundary at photopheric heights, are converted into magnetic-like waves and steepen due to the strong density gradient., Comment: 9 pages, 7 figures, for publication in A&A
Published: 2021
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23. Penumbral decay observed in active region NOAA 12585

Author: Murabito, M., Guglielmino, S. L., Ermolli, I., Romano, P., Jafarzadeh, S., van der Voort, L. H. M. Rouppe, Murabito, M., Guglielmino, S. L., Ermolli, I., Romano, P., Jafarzadeh, S., and van der Voort, L. H. M. Rouppe
Abstract: The physical conditions leading the sunspot penumbra decay are poorly understood so far. We investigate the photospheric magnetic and velocity properties of a sunspot penumbra during the decay phase to advance the current knowledge of the conditions leading to this process. A penumbral decay was observed with the CRISP instrument at the Swedish 1m Solar Telescope on 2016 September 4 and 5 in active region NOAA 12585. During these days, full-Stokes spectropolarimetric scans along the Fe I 630 nm line pair were acquired over more than one hour. We inverted these observations with the VFISV code in order to obtain the evolution of the magnetic and velocity properties. We complement the study with data from instruments onboard the Solar Dynamics Observatory and Hinode space missions. The studied penumbra disappears progressively in both time and space. The magnetic flux evolution seems to be linked to the presence of Moving Magnetic Features (MMFs). Decreasing Stokes V signals are observed. Evershed flows and horizontal fields were detected even after the disappearance of the penumbral sector. The analyzed penumbral decay seems to result from the interaction between opposite polarity fields in type III MMFs and penumbra, while the presence of overlying canopies rules the evolution in the different penumbral sectors., Comment: 13 pages, 11 figures, accepted for publication in A&A
Published: 2021
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24. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.

Author: McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., Marioni R.E., McCartney D.L., Min J.L., Richmond R.C., Lu A.T., Sobczyk M.K., Davies G., Broer L., Guo X., Jeong A., Jung J., Kasela S., Katrinli S., Kuo P.-L., Matias-Garcia P.R., Mishra P.P., Nygaard M., Palviainen T., Patki A., Raffield L.M., Ratliff S.M., Richardson T.G., Robinson O., Soerensen M., Sun D., Tsai P.-C., van der Zee M.D., Walker R.M., Wang X., Wang Y., Xia R., Xu Z., Yao J., Zhao W., Correa A., Boerwinkle E., Dugue P.-A., Durda P., Elliott H.R., Gieger C., de Geus E.J.C., Harris S.E., Hemani G., Imboden M., Kahonen M., Kardia S.L.R., Kresovich J.K., Li S., Lunetta K.L., Mangino M., Mason D., McIntosh A.M., Mengel-From J., Moore A.Z., Murabito J.M., Ollikainen M., Pankow J.S., Pedersen N.L., Peters A., Polidoro S., Porteous D.J., Raitakari O., Rich S.S., Sandler D.P., Sillanpaa E., Smith A.K., Southey M.C., Strauch K., Tiwari H., Tanaka T., Tillin T., Uitterlinden A.G., Van Den Berg D.J., van Dongen J., Wilson J.G., Wright J., Yet I., Arnett D., Bandinelli S., Bell J.T., Binder A.M., Boomsma D.I., Chen W., Christensen K., Conneely K.N., Elliott P., Ferrucci L., Fornage M., Hagg S., Hayward C., Irvin M., Kaprio J., Lawlor D.A., Lehtimaki T., Lohoff F.W., Milani L., Milne R.L., Probst-Hensch N., Reiner A.P., Ritz B., Rotter J.I., Smith J.A., Taylor J.A., van Meurs J.B.J., Vineis P., Waldenberger M., Deary I.J., Relton C.L., Horvath S., and Marioni R.E.
Abstract: Background: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Result(s): Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. Conclusion(s): This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.Copyright © 2021, The Author(s).
Published: 2021

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

Author: Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., Perry J.R.B., Ruth K.S., Day F.R., Hussain J., Martinez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L., Gonzalez J.M., Fontanillas P., Claringbould A., Bakker O.B., Sulem P., Walters R.G., Terao C., Turon S., Horikoshi M., Lin K., Onland-Moret N.C., Sankar A., Hertz E.P.T., Timshel P.N., Shukla V., Borup R., Olsen K.W., Aguilera P., Ferrer-Roda M., Huang Y., Stankovic S., Timmers P.R.H.J., Ahearn T.U., Alizadeh B.Z., Naderi E., Andrulis I.L., Arnold A.M., Aronson K.J., Augustinsson A., Bandinelli S., Barbieri C.M., Beaumont R.N., Becher H., Beckmann M.W., Benonisdottir S., Bergmann S., Bochud M., Boerwinkle E., Bojesen S.E., Bolla M.K., Boomsma D.I., Bowker N., Brody J.A., Broer L., Buring J.E., Campbell A., Campbell H., Castelao J.E., Catamo E., Chanock S.J., Chenevix-Trench G., Ciullo M., Corre T., Couch F.J., Cox A., Crisponi L., Cross S.S., Cucca F., Czene K., Smith G.D., de Geus E.J.C.N., de Mutsert R., De Vivo I., Demerath E.W., Dennis J., Dunning A.M., Dwek M., Eriksson M., Esko T., Fasching P.A., Faul J.D., Ferrucci L., Franceschini N., Frayling T.M., Gago-Dominguez M., Mezzavilla M., Garcia-Closas M., Gieger C., Giles G.G., Grallert H., Gudbjartsson D.F., Gudnason V., Guenel P., Haiman C.A., Hakansson N., Hall P., Hayward C., He C., He W., Heiss G., Hoffding M.K., Hopper J.L., Hottenga J.J., Hu F., Hunter D., Ikram M.A., Jackson R.D., Joaquim M.D.R., John E.M., Joshi P.K., Karasik D., Kardia S.L.R., Kartsonaki C., Karlsson R., Kitahara C.M., Kolcic I., Kooperberg C., Kraft P., Kurian A.W., Kutalik Z., La Bianca M., LaChance G., Langenberg C., Launer L.J., Laven J.S.E., Lawlor D.A., Le Marchand L., Li J., Lindblom A., Lindstrom S., Lindstrom T., Linet M., Liu Y.M., Liu S., Luan J., Magi R., Magnusson P.K.E., Mangino M., Mannermaa A., Marco B., Marten J., Martin N.G., Mbarek H., McKnight B., Medland S.E., Meisinger C., Meitinger T., Menni C., Metspalu A., Milani L., Milne R.L., Montgomery G.W., Mook-Kanamori D.O., Mulas A., Mulligan A.M., Nalls M.A., Newman A., Noordam R., Nutile T., Nyholt D.R., Olshan A.F., Olsson H., Painter J.N., Patel A.V., Pedersen N.L., Perjakova N., Peters A., Peters U., Pharoah P.D.P., Polasek O., Porcu E., Psaty B.M., Rahman I., Rennert G., Rennert H.S., Ridker P.M., Ring S.M., Robino A., Rose L.M., Rosendaal F.R., Rossouw J., Rudan I., Rueedi R., Ruggiero D., Sala C.F., Saloustros E., Sandler D.P., Sanna S., Sawyer E.J., Sarnowski C., Schlessinger D., Schmidt M.K., Schoemaker M.J., Schraut K.E., Scott C., Shekari S., Shrikhande A., Smith A.V., Smith B.H., Smith J.A., Sorice R., Southey M.C., Spector T.D., Spinelli J.J., Stampfer M., Stockl D., van Meurs J.B.J., Strauch K., Styrkarsdottir U., Swerdlow A.J., Tanaka T., Teras L.R., Teumer A., Thorsteinsdottir U., Timpson N.J., Toniolo D., Traglia M., Troester M.A., Truong T., Tyrrell J., Uitterlinden A.G., Ulivi S., Vachon C.M., Vitart V., Volker U., Vollenweider P., Volzke H., Wang Q., Wareham N.J., Weinberg C.R., Weir D.R., Wilcox A.N., van Dijk K.W., Willemsen G., Wilson J.F., Wolffenbuttel B.H.R., Wolk A., Wood A.R., Zhao W., Zygmunt M., Chen Z., Li L., Franke L., Burgess S., Deelen P., Pers T.H., Grondahl M.L., Andersen C.Y., Pujol A., Lopez-Contreras A.J., Daniel J.A., Stefansson K., Chang-Claude J., van der Schouw Y.T., Lunetta K.L., Chasman D.I., Easton D.F., Visser J.A., Ozanne S.E., Namekawa S.H., Solc P., Murabito J.M., Ong K.K., Hoffmann E.R., Murray A., Roig I., and Perry J.R.B.
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.Copyright © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Published: 2021

26. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Ruth, KS, Day, FR, Hussain, J, Martinez-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, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, 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, Magi, 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, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, 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, Grondahl, 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, Roig, I, Perry, JRB, Ruth, KS, Day, FR, Hussain, J, Martinez-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, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, 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, Magi, 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, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, 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, Grondahl, 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, Roig, I, and Perry, JRB
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

27. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author: McCartney, DL, Min, JL, Richmond, RC, Lu, AT, Sobczyk, MK, Davies, G, Broer, L, Guo, X, Jeong, A, Jung, J, Kasela, S, Katrinli, S, Kuo, P-L, Matias-Garcia, PR, Mishra, PP, Nygaard, M, Palviainen, T, Patki, A, Raffield, LM, Ratliff, SM, Richardson, TG, Robinson, O, Soerensen, M, Sun, D, Tsai, P-C, van der Zee, MD, Walker, RM, Wang, X, Wang, Y, Xia, R, Xu, Z, Yao, J, Zhao, W, Correa, A, Boerwinkle, E, Dugue, P-A, Durda, P, Elliott, HR, Gieger, C, de Geus, EJC, Harris, SE, Hemani, G, Imboden, M, Kahonen, M, Kardia, SLR, Kresovich, JK, Li, S, Lunetta, KL, Mangino, M, Mason, D, McIntosh, AM, Mengel-From, J, Moore, AZ, Murabito, JM, Ollikainen, M, Pankow, JS, Pedersen, NL, Peters, A, Polidoro, S, Porteous, DJ, Raitakari, O, Rich, SS, Sandler, DP, Sillanpaa, E, Smith, AK, Southey, MC, Strauch, K, Tiwari, H, Tanaka, T, Tillin, T, Uitterlinden, AG, van den Berg, DJ, van Dongen, J, Wilson, JG, Wright, J, Yet, I, Arnett, D, Bandinelli, S, Bell, JT, Binder, AM, Boomsma, DI, Chen, W, Christensen, K, Conneely, KN, Elliott, P, Ferrucci, L, Fornage, M, Hagg, S, Hayward, C, Irvin, M, Kaprio, J, Lawlor, DA, Lehtimaki, T, Lohoff, FW, Milani, L, Milne, RL, Probst-Hensch, N, Reiner, AP, Ritz, B, Rotter, J, Smith, JA, Taylor, JA, van Meurs, JBJ, Vineis, P, Waldenberger, M, Deary, IJ, Relton, CL, Horvath, S, Marioni, RE, McCartney, DL, Min, JL, Richmond, RC, Lu, AT, Sobczyk, MK, Davies, G, Broer, L, Guo, X, Jeong, A, Jung, J, Kasela, S, Katrinli, S, Kuo, P-L, Matias-Garcia, PR, Mishra, PP, Nygaard, M, Palviainen, T, Patki, A, Raffield, LM, Ratliff, SM, Richardson, TG, Robinson, O, Soerensen, M, Sun, D, Tsai, P-C, van der Zee, MD, Walker, RM, Wang, X, Wang, Y, Xia, R, Xu, Z, Yao, J, Zhao, W, Correa, A, Boerwinkle, E, Dugue, P-A, Durda, P, Elliott, HR, Gieger, C, de Geus, EJC, Harris, SE, Hemani, G, Imboden, M, Kahonen, M, Kardia, SLR, Kresovich, JK, Li, S, Lunetta, KL, Mangino, M, Mason, D, McIntosh, AM, Mengel-From, J, Moore, AZ, Murabito, JM, Ollikainen, M, Pankow, JS, Pedersen, NL, Peters, A, Polidoro, S, Porteous, DJ, Raitakari, O, Rich, SS, Sandler, DP, Sillanpaa, E, Smith, AK, Southey, MC, Strauch, K, Tiwari, H, Tanaka, T, Tillin, T, Uitterlinden, AG, van den Berg, DJ, van Dongen, J, Wilson, JG, Wright, J, Yet, I, Arnett, D, Bandinelli, S, Bell, JT, Binder, AM, Boomsma, DI, Chen, W, Christensen, K, Conneely, KN, Elliott, P, Ferrucci, L, Fornage, M, Hagg, S, Hayward, C, Irvin, M, Kaprio, J, Lawlor, DA, Lehtimaki, T, Lohoff, FW, Milani, L, Milne, RL, Probst-Hensch, N, Reiner, AP, Ritz, B, Rotter, J, Smith, JA, Taylor, JA, van Meurs, JBJ, Vineis, P, Waldenberger, M, Deary, IJ, Relton, CL, Horvath, S, and Marioni, RE
Abstract: BACKGROUND: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. RESULTS: Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. CONCLUSION: This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.
Published: 2021

28. 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 R H J, 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 J C N, 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, Heiss, Gerardo, Høffding, Miya K, Hopper, John L, Hottenga, Jouke J, Hu, Frank, Hunter, David, Ikram, Mohammad A, Jackson, Rebecca D, Joaquim, Micaella D R, John, Esther M, Joshi, Peter K, Karasik, David, Kardia, Sharon L R, Kartsonaki, Christiana, Karlsson, Robert, Kitahara, Cari M, Kolcic, Ivana, Kooperberg, Charles, Kraft, Peter, Kurian, Allison W, Kutalik, Zoltan, La Bianca, Martina, LaChance, Genevieve, Langenberg, Claudia, Launer, Lenore J, Laven, Joop S E, Lawlor, Deborah A, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lindstrom, Sara, Lindstrom, Tricia, Linet, Martha, Liu, YongMei, Liu, Simin, Luan, Jian'an, Mägi, Reedik, Magnusson, Patrik K E, Mangino, Massimo, Mannermaa, Arto, Marco, Brumat, Marten, Jonathan, Martin, Nicholas G, Mbarek, Hamdi, McKnight, Barbara, Medland, Sarah E, Meisinger, Christa, Meitinger, Thomas, Menni, Cristina, Metspalu, Andres, Milani, Lili, Milne, Roger L, Montgomery, Grant W, Mook-Kanamori, Dennis O, Mulas, Antonella, Mulligan, Anna M, Murray, Alison, Nalls, Mike A, Newman, Anne, Noordam, Raymond, Nutile, Teresa, Nyholt, Dale R, Olshan, Andrew F, Olsson, Håkan, Painter, Jodie N, Patel, Alpa V, Pedersen, Nancy L, Perjakova, Natalia, Peters, Annette, Peters, Ulrike, Pharoah, Paul D P, Polasek, Ozren, Porcu, Eleonora, Psaty, Bruce M, Rahman, Iffat, Rennert, Gad, Rennert, Hedy S, Ridker, Paul M, Ring, Susan M, Robino, Antonietta, Rose, Lynda M, Rosendaal, Frits R, Rossouw, Jacques, Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Sala, Cinzia F, Saloustros, Emmanouil, Sandler, Dale P, Sanna, Serena, Sawyer, Elinor J, Sarnowski, Chloé, Schlessinger, David, Schmidt, Marjanka K, Schoemaker, Minouk J, Schraut, Katharina E, Scott, Christopher, Shekari, Saleh, Shrikhande, Amruta, Smith, Albert V, Smith, Blair H, Smith, Jennifer A, Sorice, Rossella, Southey, Melissa C, Spector, Tim D, Spinelli, John J, Stampfer, Meir, Stöckl, Doris, van Meurs, Joyce B J, Strauch, Konstantin, Styrkarsdottir, Unnur, Swerdlow, Anthony J, Tanaka, Toshiko, Teras, Lauren R, Teumer, Alexander, Þorsteinsdottir, Unnur, Timpson, Nicholas J, Toniolo, Daniela, Traglia, Michela, Troester, Melissa A, Truong, Thérèse, Tyrrell, Jessica, Uitterlinden, André G, Ulivi, Sheila, Vachon, Celine M, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wang, Qin, Wareham, Nicholas J, Weinberg, Clarice R, Weir, David R, Wilcox, Amber N, van Dijk, Ko Willems, Willemsen, Gonneke, Wilson, James F, Wolffenbuttel, Bruce H R, Wolk, Alicja, Wood, Andrew R, Zhao, Wei, Zygmunt, Marek, Chen, Zhengming, Li, Liming, Franke, Lude, Burgess, Stephen, Deelen, Patrick, Pers, Tune H, Grøndahl, Marie Louise, Andersen, Claus Yding, Pujol, Anna, Lopez-Contreras, Andres J, Daniel, Jeremy A, Stefansson, Kari, Chang-Claude, Jenny, van der Schouw, Yvonne T, Lunetta, Kathryn L, Chasman, Daniel I, Easton, Douglas F, Visser, Jenny A, Ozanne, Susan E, Namekawa, Satoshi H, Solc, Petr, Murabito, Joanne M, Ong, Ken K, Hoffmann, Eva R, Murray, Anna, Roig, Ignasi, Perry, John R B, 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 R H J, 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 J C N, 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, Heiss, Gerardo, Høffding, Miya K, Hopper, John L, Hottenga, Jouke J, Hu, Frank, Hunter, David, Ikram, Mohammad A, Jackson, Rebecca D, Joaquim, Micaella D R, John, Esther M, Joshi, Peter K, Karasik, David, Kardia, Sharon L R, Kartsonaki, Christiana, Karlsson, Robert, Kitahara, Cari M, Kolcic, Ivana, Kooperberg, Charles, Kraft, Peter, Kurian, Allison W, Kutalik, Zoltan, La Bianca, Martina, LaChance, Genevieve, Langenberg, Claudia, Launer, Lenore J, Laven, Joop S E, Lawlor, Deborah A, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lindstrom, Sara, Lindstrom, Tricia, Linet, Martha, Liu, YongMei, Liu, Simin, Luan, Jian'an, Mägi, Reedik, Magnusson, Patrik K E, Mangino, Massimo, Mannermaa, Arto, Marco, Brumat, Marten, Jonathan, Martin, Nicholas G, Mbarek, Hamdi, McKnight, Barbara, Medland, Sarah E, Meisinger, Christa, Meitinger, Thomas, Menni, Cristina, Metspalu, Andres, Milani, Lili, Milne, Roger L, Montgomery, Grant W, Mook-Kanamori, Dennis O, Mulas, Antonella, Mulligan, Anna M, Murray, Alison, Nalls, Mike A, Newman, Anne, Noordam, Raymond, Nutile, Teresa, Nyholt, Dale R, Olshan, Andrew F, Olsson, Håkan, Painter, Jodie N, Patel, Alpa V, Pedersen, Nancy L, Perjakova, Natalia, Peters, Annette, Peters, Ulrike, Pharoah, Paul D P, Polasek, Ozren, Porcu, Eleonora, Psaty, Bruce M, Rahman, Iffat, Rennert, Gad, Rennert, Hedy S, Ridker, Paul M, Ring, Susan M, Robino, Antonietta, Rose, Lynda M, Rosendaal, Frits R, Rossouw, Jacques, Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Sala, Cinzia F, Saloustros, Emmanouil, Sandler, Dale P, Sanna, Serena, Sawyer, Elinor J, Sarnowski, Chloé, Schlessinger, David, Schmidt, Marjanka K, Schoemaker, Minouk J, Schraut, Katharina E, Scott, Christopher, Shekari, Saleh, Shrikhande, Amruta, Smith, Albert V, Smith, Blair H, Smith, Jennifer A, Sorice, Rossella, Southey, Melissa C, Spector, Tim D, Spinelli, John J, Stampfer, Meir, Stöckl, Doris, van Meurs, Joyce B J, Strauch, Konstantin, Styrkarsdottir, Unnur, Swerdlow, Anthony J, Tanaka, Toshiko, Teras, Lauren R, Teumer, Alexander, Þorsteinsdottir, Unnur, Timpson, Nicholas J, Toniolo, Daniela, Traglia, Michela, Troester, Melissa A, Truong, Thérèse, Tyrrell, Jessica, Uitterlinden, André G, Ulivi, Sheila, Vachon, Celine M, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wang, Qin, Wareham, Nicholas J, Weinberg, Clarice R, Weir, David R, Wilcox, Amber N, van Dijk, Ko Willems, Willemsen, Gonneke, Wilson, James F, Wolffenbuttel, Bruce H R, Wolk, Alicja, Wood, Andrew R, Zhao, Wei, Zygmunt, Marek, Chen, Zhengming, Li, Liming, Franke, Lude, Burgess, Stephen, Deelen, Patrick, Pers, Tune H, Grøndahl, Marie Louise, Andersen, Claus Yding, Pujol, Anna, Lopez-Contreras, Andres J, Daniel, Jeremy A, Stefansson, Kari, Chang-Claude, Jenny, van der Schouw, Yvonne T, Lunetta, Kathryn L, Chasman, Daniel I, Easton, Douglas F, Visser, Jenny A, Ozanne, Susan E, Namekawa, Satoshi H, Solc, Petr, Murabito, Joanne M, Ong, Ken K, Hoffmann, Eva R, Murray, Anna, Roig, Ignasi, and Perry, John R B
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
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29. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.

Author: McCartney, Daniel L, McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, Genetics of DNA Methylation Consortium, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, Reiner, Alex P, McCartney, Daniel L, McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, Genetics of DNA Methylation Consortium, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, and Reiner, Alex P
Abstract: BackgroundBiological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field.ResultsLeveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels.ConclusionThis study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.
Published: 2021

30. Clonal hematopoiesis associated with epigenetic aging and clinical outcomes.

Author: Nachun, Daniel, Nachun, Daniel, Lu, Ake T, Bick, Alexander G, Natarajan, Pradeep, Weinstock, Joshua, Szeto, Mindy D, Kathiresan, Sekar, Abecasis, Goncalo, Taylor, Kent D, Guo, Xiuqing, Tracy, Russ, Durda, Peter, Liu, Yongmei, Johnson, Craig, Rich, Stephen S, Van Den Berg, David, Laurie, Cecilia, Blackwell, Tom, Papanicolaou, George J, Correa, Adolfo, Raffield, Laura M, Johnson, Andrew D, Murabito, Joanne, Manson, JoAnn E, Desai, Pinkal, Kooperberg, Charles, Assimes, Themistocles L, Levy, Daniel, Rotter, Jerome I, Reiner, Alex P, Whitsel, Eric A, Wilson, James G, Horvath, Steve, Jaiswal, Siddhartha, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Nachun, Daniel, Nachun, Daniel, Lu, Ake T, Bick, Alexander G, Natarajan, Pradeep, Weinstock, Joshua, Szeto, Mindy D, Kathiresan, Sekar, Abecasis, Goncalo, Taylor, Kent D, Guo, Xiuqing, Tracy, Russ, Durda, Peter, Liu, Yongmei, Johnson, Craig, Rich, Stephen S, Van Den Berg, David, Laurie, Cecilia, Blackwell, Tom, Papanicolaou, George J, Correa, Adolfo, Raffield, Laura M, Johnson, Andrew D, Murabito, Joanne, Manson, JoAnn E, Desai, Pinkal, Kooperberg, Charles, Assimes, Themistocles L, Levy, Daniel, Rotter, Jerome I, Reiner, Alex P, Whitsel, Eric A, Wilson, James G, Horvath, Steve, Jaiswal, Siddhartha, and NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Abstract: Clonal hematopoiesis of indeterminate potential (CHIP) is a common precursor state for blood cancers that most frequently occurs due to mutations in the DNA-methylation modifying enzymes DNMT3A or TET2. We used DNA-methylation array and whole-genome sequencing data from four cohorts together comprising 5522 persons to study the association between CHIP, epigenetic clocks, and health outcomes. CHIP was strongly associated with epigenetic age acceleration, defined as the residual after regressing epigenetic clock age on chronological age, in several clocks, ranging from 1.31 years (GrimAge, p < 8.6 × 10-7 ) to 3.08 years (EEAA, p < 3.7 × 10-18 ). Mutations in most CHIP genes except DNA-damage response genes were associated with increases in several measures of age acceleration. CHIP carriers with mutations in multiple genes had the largest increases in age acceleration and decrease in estimated telomere length. Finally, we found that ~40% of CHIP carriers had acceleration >0 in both Hannum and GrimAge (referred to as AgeAccelHG+). This group was at high risk of all-cause mortality (hazard ratio 2.90, p < 4.1 × 10-8 ) and coronary heart disease (CHD) (hazard ratio 3.24, p < 9.3 × 10-6 ) compared to those who were CHIP-/AgeAccelHG-. In contrast, the other ~60% of CHIP carriers who were AgeAccelHG- were not at increased risk of these outcomes. In summary, CHIP is strongly linked to age acceleration in multiple clocks, and the combination of CHIP and epigenetic aging may be used to identify a population at high risk for adverse outcomes and who may be a target for clinical interventions.
Published: 2021

31. On the Origin of Magnetic Pertubations associated with the FIP effect

Author: Murabito, M., Stangalini, M., Baker, D., Valori, G., Jess, D. B., Jafarzadeh, S., Brooks, D. H., Ermolli, I., Giorgi, F., Grant, S. D. T., Long, D. M., van Driel-Gesztelyi, L., Murabito, M., Stangalini, M., Baker, D., Valori, G., Jess, D. B., Jafarzadeh, S., Brooks, D. H., Ermolli, I., Giorgi, F., Grant, S. D. T., Long, D. M., and van Driel-Gesztelyi, L.
Abstract: In \citet{Stangalini20} and \citet{Deb20}, magnetic oscillations were detected in the chromosphere of a large sunspot and found to be linked to the coronal locations where a First Ionization Potential (FIP) effect was observed. In an attempt to shed light onto the possible excitation mechanisms of these localized waves, we further investigate the same data by focussing on the relation between the spatial distribution of the magnetic wave power and the overall field geometry and plasma parameters obtained from multi-height spectropolarimetric non-local thermodynamic equilibrium (NLTE) inversions of IBIS data. We find that, in correspondence with the locations where the magnetic wave energy is observed at chromospheric heights, the magnetic fields have smaller scale heights, meaning faster expansions of the field lines, which ultimately results in stronger vertical density stratification and wave steepening. In addition, the acoustic spectrum of the oscillations at the locations where magnetic perturbations are observed is broader than that observed at other locations, which suggests an additional forcing driver to the p-modes. Analysis of the photospheric oscillations in the sunspot surroundings also reveals a broader spectrum in between the two opposite polarities of the active region (the leading spot and the trailing opposite polarity plage), and on the same side where magnetic perturbations are observed in the umbra. We suggest that strong photospheric perturbations in between the two polarities are responsible for this broader spectrum of oscillations, with respect to the $p$-mode spectrum, resulting in locally-excited acoustic waves that, after crossing the equipartition layer, located close to the umbra-penumbra boundary at photopheric heights, are converted into magnetic-like waves and steepen due to the strong density gradient., Comment: 9 pages, 7 figures, for publication in A&A
Published: 2021
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32. Penumbral decay observed in active region NOAA 12585

Author: Murabito, M., Guglielmino, S. L., Ermolli, I., Romano, P., Jafarzadeh, S., van der Voort, L. H. M. Rouppe, Murabito, M., Guglielmino, S. L., Ermolli, I., Romano, P., Jafarzadeh, S., and van der Voort, L. H. M. Rouppe
Abstract: The physical conditions leading the sunspot penumbra decay are poorly understood so far. We investigate the photospheric magnetic and velocity properties of a sunspot penumbra during the decay phase to advance the current knowledge of the conditions leading to this process. A penumbral decay was observed with the CRISP instrument at the Swedish 1m Solar Telescope on 2016 September 4 and 5 in active region NOAA 12585. During these days, full-Stokes spectropolarimetric scans along the Fe I 630 nm line pair were acquired over more than one hour. We inverted these observations with the VFISV code in order to obtain the evolution of the magnetic and velocity properties. We complement the study with data from instruments onboard the Solar Dynamics Observatory and Hinode space missions. The studied penumbra disappears progressively in both time and space. The magnetic flux evolution seems to be linked to the presence of Moving Magnetic Features (MMFs). Decreasing Stokes V signals are observed. Evershed flows and horizontal fields were detected even after the disappearance of the penumbral sector. The analyzed penumbral decay seems to result from the interaction between opposite polarity fields in type III MMFs and penumbra, while the presence of overlying canopies rules the evolution in the different penumbral sectors., Comment: 13 pages, 11 figures, accepted for publication in A&A
Published: 2021
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33. Analysis of Pseudo-Lyapunov Exponents of Solar Convection Using State-of-the-Art Observations

Author: Viavattene, Giorgio, Murabito, Mariarita, Guglielmino, Salvatore L., Ermolli, Ilaria, Consolini, Giuseppe, Giorgi, Fabrizio, Jafarzadeh, Shahin, Viavattene, Giorgio, Murabito, Mariarita, Guglielmino, Salvatore L., Ermolli, Ilaria, Consolini, Giuseppe, Giorgi, Fabrizio, and Jafarzadeh, Shahin
Abstract: The solar photosphere and the outer layer of the Sun's interior are characterized by convective motions, which display a chaotic and turbulent character. In this work, we evaluated the pseudo-Lyapunov exponents of the overshooting convective motions observed on the Sun's surface by using a method employed in the literature to estimate those exponents, as well as another technique deduced from their definition. We analyzed observations taken with state-of-the-art instruments at ground- and space-based telescopes, and we particularly benefited from the spectro-polarimetric data acquired with the Interferometric Bidimensional Spectrometer, the Crisp Imaging SpectroPolarimeter, and the Helioseismic and Magnetic Imager. Following previous studies in the literature, we computed maps of four quantities which were representative of the physical properties of solar plasma in each observation, and estimated the pseudo-Lyapunov exponents from the residuals between the values of the quantities computed at any point in the map and the mean of values over the whole map. In contrast to previous results reported in the literature, we found that the computed exponents hold negative values, which are typical of a dissipative regime, for all the quantities derived from our observations. The values of the estimated exponents increase with the spatial resolution of the data and are almost unaffected by small concentrations of magnetic field. Finally, we showed that similar results were also achieved by estimating the exponents from residuals between the values at each point in maps derived from observations taken at different times. The latter estimation technique better accounts for the definition of these exponents than the method employed in previous studies., Comment: 24 pages, accepted for Entropy
Published: 2021
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34. A novel approach to identify resonant MHD wave modes in solar pores and sunspot umbrae: $B-\omega$ analysis

Author: Stangalini, M., Jess, D. B., Verth, G., Fedun, V., Fleck, B., Jafarzadeh, S., Keys, P. H., Murabito, M., Calchetti, D., Aldhafeeri, A. A., Berrilli, F., Del Moro, D., Jefferies, S. M., Terradas, J., Soler, R., Stangalini, M., Jess, D. B., Verth, G., Fedun, V., Fleck, B., Jafarzadeh, S., Keys, P. H., Murabito, M., Calchetti, D., Aldhafeeri, A. A., Berrilli, F., Del Moro, D., Jefferies, S. M., Terradas, J., and Soler, R.
Abstract: The umbral regions of sunspots and pores in the solar photosphere are generally dominated by $3$~mHz oscillations, which are due to $p$-modes penetrating the magnetic region. In these locations, wave power is also significantly reduced with respect to the quiet Sun. However, here we study a pore where the power of the oscillations in the umbra is not only comparable, or even larger than that of the quiet Sun, but the main dominant frequency is not $3$~mHz as expected, but instead $5$~mHz. By combining Doppler velocities and spectropolarimetry and analysing the relationship between magnetic field strength and frequency, the resultant $B-\omega$ diagram reveals distinct ridges which are remarkably clear signatures of resonant MHD oscillations confined within the pore umbra. In addition to velocity oscillations, we demonstrate that these modes are also accompanied by magnetic oscillations, as predicted from MHD theory. The novel technique of $B-\omega$ analysis, proposed in this Letter, opens an exciting new avenue for identifying MHD wave modes in the umbral regions of both pores and sunspots., Comment: Accepted in A&A
Published: 2021
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35. 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., Martín-González, Javier, Fasching, Peter A., Faul, Jessica D., Ferrucci, Luigi, Franceschini, Nora, Frayling, Timothy M., Kitahara, Cari M., Gago-Dominguez, Manuela, Mezzavilla, Massimo, García-Closas, Montserrat, Sawyer, Elinor J., Grøndahl, Marie Louise, Gieger, Christian, Giles, Graham G., Grallert, Harald, Gudbjartsson, Daniel F., Gudnason, Vilmundur, Guénel, Pascal, Haiman, Christopher A., Kolcic, Ivana, Håkansson, Niclas, Hall, Per, Andersen, Claus Yding, Lin, Kuang, Hayward, Caroline, He, Chunyan, He, Wei, Heiss, Gerardo, Kooperberg, Charles, Kraft, Peter, Kurian, Allison W., Kutalik, Zoltan, Claringbould, Annique, Pujol, Anna, La Bianca, Martina, Høffding, Miya K., LaChance, Genevieve, Langenberg, Claudia, Launer, Lenore J., Laven, Joop S. E., Lawlor, Deborah A., Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, López-Contreras, Andrés J., Lindstrom, Sara, Bakker, Olivier B., Sarnowski, Chloé, Lindstrom, Tricia, Linet, Martha, Liu, YongMei, Liu, Simin, Luan, Jian’an, Mägi, Reedik, Magnusson, Patrik K. E., Daniel, Jeremy A., Mangino, Massimo, Mannermaa, Arto, Marco, Brumat, Schlessinger, David, Sulem, Patrick, Marten, Jonathan, Martin, Nicholas G., Mbarek, Hamdi, McKnight, Barbara, Medland, Sarah E., Olsen, Kristina W., Meisinger, Christa, Meitinger, Thomas, Menni, Cristina, Metspalu, Andres, Marjanka K. Schmidt, Milani, Lili, Walters, Robin G., Milne, Roger L., Montgomery, Grant W., Mook-Kanamori, Dennis O., Stefansson, Kari, Mulas, Antonella, Mulligan, Anna M., Murray, Alison, Nalls, Mike A., Newman, Anne, Schoemaker, Minouk J., Noordam, Raymond, Nutile, Teresa, Terao, Chikashi, Nyholt, Dale R., Chang-Claude, Jenny, Olshan, Andrew F., Olsson, Håkan, Painter, Jodie N., Patel, Alpa V., Pedersen, Nancy L., Perjakova, Natalia, Schraut, Katharina E., Peters, Annette, Peters, Ulrike, Pharoah, Paul D. P., Schouw, Yvonne T. van der, Turon, Sandra, Polasek, Ozren, Porcu, Eleonora, Psaty, Bruce M., Rahman, Iffat, Rennert, Gad, Rennert, Hedy S., Scott, Christopher, Ridker, Paul M., Ring, Susan M., John, Esther M., Robino, Antonietta, Rose, Lynda M., Horikoshi, Momoko, Rosendaal, Frits R., Shekari, Saleh, Shrikhande, Amruta, Smith, Albert V., Smith, Blair H., Hopper, John L., Onland-Moret, N. Charlotte, Rossouw, Jacques, Smith, Jennifer A., Sorice, Rossella, Southey, Melissa C., Spector, Tim D., Spinelli, John J., Stampfer, Meir, Stöckl, Doris, Meurs, Joyce B. J. van, Strauch, Konstantin, Hottenga, Jouke J., Lunetta, Kathryn L., Styrkarsdottir, Unnur, Sankar, Aditya, Swerdlow, Anthony J., Tanaka, Toshiko, Teras, Lauren R., Teumer, Alexander, Þorsteinsdottir, Unnur, Timpson, Nicholas J., Toniolo, Daniela, Traglia, Michela, Chasman, Daniel I., Hu, Frank, Troester, Melissa A., Truong, Thérèse, Thrane Hertz, Emil Peter, Tyrrell, Jessica, Uitterlinden, André G., Ulivi, Sheila, Vachon, Celine M., Vitart, Veronique, Völker, Uwe, Easton, Douglas F., Vollenweider, Peter, Hunter, David, Völzke, Henry, Wang, Qin, Wareham, Nicholas J., Timshel, Pascal N., Weinberg, Clarice R., Weir, David R., Amber N. Wilcox, Dijk, Ko Willems van, Visser, Jenny A., Willemsen, Gonneke, Wilson, James F., Ikram, Mohammad A., Wolffenbuttel, Bruce H. R., Wolk, Alicja, Wood, Andrew R., Zhao, Wei, Shukla, Vallari, Zygmunt, Marek, Biobank-based Integrative Omics Study (BIOS) Consortium, Ozanne, Susan E., eQTLGen Consortium, The Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Jackson, Rebecca D., KConFab Investigators, The LifeLines Cohort Study, The InterAct consortium, Me Research Team, Chen, Zhengming, Borup, Rehannah, Namekawa, Satoshi H., Li, Liming, Franke, Lude, Burgess, Stephen, Deelen, Patrick, Joaquim, Micaella D. R., Pers, Tune H., Solc, Petr, Aguilera, Paula, Murabito, Joanne M., Ong, Ken K., Rudan, Igor, Joshi, Peter K., Hoffmann, Eva R., Murray, Anna, Roig, Ignasi, Perry, John R. B., Ferrer-Roda, Mònica, Huang, Yan, Stankovic, Stasa, Timmers, Paul R. H. J., Ahearn, Thomas U., Rueedi, Rico, Alizadeh, Behrooz Z., Fontanillas, Pierre, Naderi, Elnaz, Andrulis, Irene L., Arnold, Alice M., Aronson, Kristan J., Augustinsson, Annelie, Bandinelli, Stefania, Barbieri, Caterina M., Beaumont, Robin N., Ruggiero, Daniela, Becher, Heiko, Beckmann, Matthias W., Karasik, David, Benonisdottir, Stefania, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E., Bolla, Manjeet K., Boomsma, Dorret I., Sala, Cinzia F., Bowker, Nicholas, Brody, Jennifer A., Broer, Linda, Kardia, Sharon L. R., Buring, Julie E., Campbell, Archie, Campbell, Harry, Castelao, Jose E., Catamo, Eulalia, Chanock, Stephen J., Saloustros, Emmanouil, Chenevix-Trench, Georgia, Ciullo, Marina, Corre, Tanguy, Couch, Fergus J., Kartsonaki, Christiana, Cox, Angela, Crisponi, Laura, Cross, Simon S., Cucca, Francesco, Czene, Kamila, Sandler, Dale P., Smith, George Davey, Geus, Eco J. C. de, Mutsert, Renée de, De Vivo, Immaculata, Demerath, Ellen W., Karlsson, Robert, Dennis, Joe, Dunning, Alison M., Dwek, Miriam, Eriksson, Mikael, Sanna, Serena, Esko, Tonu, 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., Martín-González, Javier, Fasching, Peter A., Faul, Jessica D., Ferrucci, Luigi, Franceschini, Nora, Frayling, Timothy M., Kitahara, Cari M., Gago-Dominguez, Manuela, Mezzavilla, Massimo, García-Closas, Montserrat, Sawyer, Elinor J., Grøndahl, Marie Louise, Gieger, Christian, Giles, Graham G., Grallert, Harald, Gudbjartsson, Daniel F., Gudnason, Vilmundur, Guénel, Pascal, Haiman, Christopher A., Kolcic, Ivana, Håkansson, Niclas, Hall, Per, Andersen, Claus Yding, Lin, Kuang, Hayward, Caroline, He, Chunyan, He, Wei, Heiss, Gerardo, Kooperberg, Charles, Kraft, Peter, Kurian, Allison W., Kutalik, Zoltan, Claringbould, Annique, Pujol, Anna, La Bianca, Martina, Høffding, Miya K., LaChance, Genevieve, Langenberg, Claudia, Launer, Lenore J., Laven, Joop S. E., Lawlor, Deborah A., Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, López-Contreras, Andrés J., Lindstrom, Sara, Bakker, Olivier B., Sarnowski, Chloé, Lindstrom, Tricia, Linet, Martha, Liu, YongMei, Liu, Simin, Luan, Jian’an, Mägi, Reedik, Magnusson, Patrik K. E., Daniel, Jeremy A., Mangino, Massimo, Mannermaa, Arto, Marco, Brumat, Schlessinger, David, Sulem, Patrick, Marten, Jonathan, Martin, Nicholas G., Mbarek, Hamdi, McKnight, Barbara, Medland, Sarah E., Olsen, Kristina W., Meisinger, Christa, Meitinger, Thomas, Menni, Cristina, Metspalu, Andres, Marjanka K. Schmidt, Milani, Lili, Walters, Robin G., Milne, Roger L., Montgomery, Grant W., Mook-Kanamori, Dennis O., Stefansson, Kari, Mulas, Antonella, Mulligan, Anna M., Murray, Alison, Nalls, Mike A., Newman, Anne, Schoemaker, Minouk J., Noordam, Raymond, Nutile, Teresa, Terao, Chikashi, Nyholt, Dale R., Chang-Claude, Jenny, Olshan, Andrew F., Olsson, Håkan, Painter, Jodie N., Patel, Alpa V., Pedersen, Nancy L., Perjakova, Natalia, Schraut, Katharina E., Peters, Annette, Peters, Ulrike, Pharoah, Paul D. P., Schouw, Yvonne T. van der, Turon, Sandra, Polasek, Ozren, Porcu, Eleonora, Psaty, Bruce M., Rahman, Iffat, Rennert, Gad, Rennert, Hedy S., Scott, Christopher, Ridker, Paul M., Ring, Susan M., John, Esther M., Robino, Antonietta, Rose, Lynda M., Horikoshi, Momoko, Rosendaal, Frits R., Shekari, Saleh, Shrikhande, Amruta, Smith, Albert V., Smith, Blair H., Hopper, John L., Onland-Moret, N. Charlotte, Rossouw, Jacques, Smith, Jennifer A., Sorice, Rossella, Southey, Melissa C., Spector, Tim D., Spinelli, John J., Stampfer, Meir, Stöckl, Doris, Meurs, Joyce B. J. van, Strauch, Konstantin, Hottenga, Jouke J., Lunetta, Kathryn L., Styrkarsdottir, Unnur, Sankar, Aditya, Swerdlow, Anthony J., Tanaka, Toshiko, Teras, Lauren R., Teumer, Alexander, Þorsteinsdottir, Unnur, Timpson, Nicholas J., Toniolo, Daniela, Traglia, Michela, Chasman, Daniel I., Hu, Frank, Troester, Melissa A., Truong, Thérèse, Thrane Hertz, Emil Peter, Tyrrell, Jessica, Uitterlinden, André G., Ulivi, Sheila, Vachon, Celine M., Vitart, Veronique, Völker, Uwe, Easton, Douglas F., Vollenweider, Peter, Hunter, David, Völzke, Henry, Wang, Qin, Wareham, Nicholas J., Timshel, Pascal N., Weinberg, Clarice R., Weir, David R., Amber N. Wilcox, Dijk, Ko Willems van, Visser, Jenny A., Willemsen, Gonneke, Wilson, James F., Ikram, Mohammad A., Wolffenbuttel, Bruce H. R., Wolk, Alicja, Wood, Andrew R., Zhao, Wei, Shukla, Vallari, Zygmunt, Marek, Biobank-based Integrative Omics Study (BIOS) Consortium, Ozanne, Susan E., eQTLGen Consortium, The Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Jackson, Rebecca D., KConFab Investigators, The LifeLines Cohort Study, The InterAct consortium, Me Research Team, Chen, Zhengming, Borup, Rehannah, Namekawa, Satoshi H., Li, Liming, Franke, Lude, Burgess, Stephen, Deelen, Patrick, Joaquim, Micaella D. R., Pers, Tune H., Solc, Petr, Aguilera, Paula, Murabito, Joanne M., Ong, Ken K., Rudan, Igor, Joshi, Peter K., Hoffmann, Eva R., Murray, Anna, Roig, Ignasi, Perry, John R. B., Ferrer-Roda, Mònica, Huang, Yan, Stankovic, Stasa, Timmers, Paul R. H. J., Ahearn, Thomas U., Rueedi, Rico, Alizadeh, Behrooz Z., Fontanillas, Pierre, Naderi, Elnaz, Andrulis, Irene L., Arnold, Alice M., Aronson, Kristan J., Augustinsson, Annelie, Bandinelli, Stefania, Barbieri, Caterina M., Beaumont, Robin N., Ruggiero, Daniela, Becher, Heiko, Beckmann, Matthias W., Karasik, David, Benonisdottir, Stefania, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E., Bolla, Manjeet K., Boomsma, Dorret I., Sala, Cinzia F., Bowker, Nicholas, Brody, Jennifer A., Broer, Linda, Kardia, Sharon L. R., Buring, Julie E., Campbell, Archie, Campbell, Harry, Castelao, Jose E., Catamo, Eulalia, Chanock, Stephen J., Saloustros, Emmanouil, Chenevix-Trench, Georgia, Ciullo, Marina, Corre, Tanguy, Couch, Fergus J., Kartsonaki, Christiana, Cox, Angela, Crisponi, Laura, Cross, Simon S., Cucca, Francesco, Czene, Kamila, Sandler, Dale P., Smith, George Davey, Geus, Eco J. C. de, Mutsert, Renée de, De Vivo, Immaculata, Demerath, Ellen W., Karlsson, Robert, Dennis, Joe, Dunning, Alison M., Dwek, Miriam, Eriksson, Mikael, Sanna, Serena, and Esko, Tonu
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women, 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. 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

36. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Author: Jones, G, Trajanoska, Katerina, Santanasto, AJ, Stringa, Najada, Kuo, CL, Atkins, JL, Lewis, JR, Duong, TV, Hong, S, Biggs, ML, Luan, J, Sarnowski, C, Lunetta, KL, Tanaka, T, Wojczynski, MK, Cvejkus, R, Nethander, M, Ghasemi, S, Yang, J, Zillikens, M.C., Walter, S, Sicinski, K, Kague, E, Ackert-Bicknell, CL, Arking, DE, Windham, BG, Boerwinkle, E, Grove, ML, Graff, M, Spira, D, Demuth, I, Velde, N, de Groot, LCPCM, Psaty, BM, Odden, MC, Fohner, AE, Langenberg, C, Wareham, NJ, Bandinelli, S, Schoor, NM, Huisman, M, Tan, Q, Zmuda, J, Mellström, D, Karlsson, M, Bennett, DA, Buchman, AS, De Jager, PL, Uitterlinden, André, Völker, U, Kocher, T, Teumer, A, Rodriguéz-Mañas, L, García, FJ, Carnicero, JA, Herd, P, Bertram, L, Ohlsson, C, Murabito, JM, Melzer, D, Kuchel, GA, Ferrucci, L, Karasik, D, Rivadeneira, Fernando, Kiel, DP, Pilling, LC, Jones, G, Trajanoska, Katerina, Santanasto, AJ, Stringa, Najada, Kuo, CL, Atkins, JL, Lewis, JR, Duong, TV, Hong, S, Biggs, ML, Luan, J, Sarnowski, C, Lunetta, KL, Tanaka, T, Wojczynski, MK, Cvejkus, R, Nethander, M, Ghasemi, S, Yang, J, Zillikens, M.C., Walter, S, Sicinski, K, Kague, E, Ackert-Bicknell, CL, Arking, DE, Windham, BG, Boerwinkle, E, Grove, ML, Graff, M, Spira, D, Demuth, I, Velde, N, de Groot, LCPCM, Psaty, BM, Odden, MC, Fohner, AE, Langenberg, C, Wareham, NJ, Bandinelli, S, Schoor, NM, Huisman, M, Tan, Q, Zmuda, J, Mellström, D, Karlsson, M, Bennett, DA, Buchman, AS, De Jager, PL, Uitterlinden, André, Völker, U, Kocher, T, Teumer, A, Rodriguéz-Mañas, L, García, FJ, Carnicero, JA, Herd, P, Bertram, L, Ohlsson, C, Murabito, JM, Melzer, D, Kuchel, GA, Ferrucci, L, Karasik, D, Rivadeneira, Fernando, Kiel, DP, and Pilling, LC
Abstract: Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1p = 4 × 10−17), arthritis (GDF5p = 4 × 10−13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.
Published: 2021

37. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Author: Jones, Garan, Trajanoska, Katerina, Santanasto, Adam J., Stringa, Najada, Kuo, Chia Ling, Atkins, Janice L., Lewis, Joshua R., Duong, Thuy Vy, Hong, Shengjun, Biggs, Mary L., Luan, Jian-An, Sarnowski, Chloe, Lunetta, Kathryn L., Tanaka, Toshiko, Wojczynski, Mary K., Cvejkus, Ryan, Nethander, Maria, Ghasemi, Sahar, Yang, Jingyun, Zillikens, M.C., Walter, Stefan, Sicinski, Kamil, Kague, Erika, Ackert-Bicknell, Cheryl L., Arking, Dan E., Windham, B.G., Boerwinkle, Eric, Grove, Megan L., Graff, Misa, Spira, Dominik, Demuth, Ilja, van der Velde, Nathalie, de Groot, Lisette C.P.G.M., Psaty, Bruce M., Odden, Michelle C., Fohner, Alison E., Langenberg, Claudia, Wareham, Nicholas J., Bandinelli, Stefania, van Schoor, Natasja M., Huisman, Martijn, Tan, Qihua, Zmuda, Joseph, Mellström, Dan, Karlsson, Magnus, Bennett, David A., Buchman, Aron S., De Jager, Philip L., Uitterlinden, Andre G., Völker, Uwe, Kocher, Thomas, Teumer, Alexander, Rodriguéz-Mañas, Leocadio, García, Francisco J., Carnicero, José A., Herd, Pamela, Bertram, Lars, Ohlsson, Claes, Murabito, Joanne M., Melzer, David, Kuchel, George A., Ferrucci, Luigi, Karasik, David, Rivadeneira, Fernando, Kiel, Douglas P., Pilling, Luke C., Jones, Garan, Trajanoska, Katerina, Santanasto, Adam J., Stringa, Najada, Kuo, Chia Ling, Atkins, Janice L., Lewis, Joshua R., Duong, Thuy Vy, Hong, Shengjun, Biggs, Mary L., Luan, Jian-An, Sarnowski, Chloe, Lunetta, Kathryn L., Tanaka, Toshiko, Wojczynski, Mary K., Cvejkus, Ryan, Nethander, Maria, Ghasemi, Sahar, Yang, Jingyun, Zillikens, M.C., Walter, Stefan, Sicinski, Kamil, Kague, Erika, Ackert-Bicknell, Cheryl L., Arking, Dan E., Windham, B.G., Boerwinkle, Eric, Grove, Megan L., Graff, Misa, Spira, Dominik, Demuth, Ilja, van der Velde, Nathalie, de Groot, Lisette C.P.G.M., Psaty, Bruce M., Odden, Michelle C., Fohner, Alison E., Langenberg, Claudia, Wareham, Nicholas J., Bandinelli, Stefania, van Schoor, Natasja M., Huisman, Martijn, Tan, Qihua, Zmuda, Joseph, Mellström, Dan, Karlsson, Magnus, Bennett, David A., Buchman, Aron S., De Jager, Philip L., Uitterlinden, Andre G., Völker, Uwe, Kocher, Thomas, Teumer, Alexander, Rodriguéz-Mañas, Leocadio, García, Francisco J., Carnicero, José A., Herd, Pamela, Bertram, Lars, Ohlsson, Claes, Murabito, Joanne M., Melzer, David, Kuchel, George A., Ferrucci, Luigi, Karasik, David, Rivadeneira, Fernando, Kiel, Douglas P., and Pilling, Luke C.
Abstract: Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1p = 4 × 10−17), arthritis (GDF5p = 4 × 10−13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.
Published: 2021

38. Restoring process of sunspot penumbra

Author: Romano, P., Murabito, M., Guglielmino, S. L., Zuccarello, F., Falco, M., Romano, P., Murabito, M., Guglielmino, S. L., Zuccarello, F., and Falco, M.
Abstract: We describe the disappearance of a sector of sunspot penumbra and its restoring process observed in the preceding sunspot of active region NOAA 12348. The evolution of the magnetic field and the plasma flows support the idea that the penumbra forms due to a change of inclination of the magnetic field of the canopy. Moving magnetic features have been observed during the disintegration phase of that sector of sunspot penumbra. During the restoring phase we have not observed any magnetic flux emergence around the sunspot. The restoring process of the penumbra sector completed in about 72 hours and it was accompanied by the transition from the counter-Evershed flow to the classical Evershed flow. The inversion of photospheric spectropolarimetric measurements taken by IBIS allowed us to reconstruct how the uncombed configuration of the magnetic field forms during the new settlement of the penumbra, i.e., the vertical component of the magnetic field seems to be progressively replaced by some horizontal field lines, corresponding to the intra-spines., Comment: 34 pages, 11 figures, accepted for ApJ
Published: 2020
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39. Unveiling the magnetic nature of chromospheric vortices

Author: Murabito, Mariarita, Shetye, Juie, Stangalini, Marco, Verwichte, Erwin, Arber, Tony, Ermolli, Ilaria, Giorgi, Fabrizio, Goffrey, Tom, Murabito, Mariarita, Shetye, Juie, Stangalini, Marco, Verwichte, Erwin, Arber, Tony, Ermolli, Ilaria, Giorgi, Fabrizio, and Goffrey, Tom
Abstract: Vortex structures in the Sun's chromosphere are believed to channel energy between different layers of the solar atmosphere. We investigate the nature and dynamics of two small-scale quiet-Sun rotating structures in the chromosphere. We analyse two chromospheric structures that show clear rotational patterns in spectropolarimetric observations taken with the Interferometric Bidimensional Spectrometer (IBIS) at the Ca II 8542 \AA~ line. We present the detection of spectropolarimetric signals that manifest the magnetic nature of rotating structures in the chromosphere. Our observations show two long-lived structures of plasma that each rotate clockwise inside a 10 arcsec$^{2}$~ quiet-Sun region. Their circular polarization signals are 5-10 times above the noise level. Line-of-sight Doppler velocity and horizontal velocity maps from the observations reveal clear plasma flows at and around the two structures. An MHD simulation shows these two structures are plausibly magnetically connected. Wave analysis suggests that the observed rotational vortex pattern could be due to a combination of slow actual rotation and a faster azimuthal phase speed pattern of a magneto-acoustic mode. Our results imply that the vortex structures observed in the Sun's chromosphere are magnetic in nature and that they can be connected locally through the chromosphere., Comment: 6 pages, 9 figures, accepted for A&A. Some figures are a low-quality version of the original ones
Published: 2020
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40. Magnetohydrodynamic Non-linearities in Sunspot Atmospheres: Chromospheric Detections of Intermediate Shocks

Author: Houston, S. J., Jess, D. B., Keppens, R., Stangalini, M., Keys, P. H., Grant, S. D. T., Jafarzadeh, S., McFetridge, L. M., Murabito, M., Ermolli, I., Giorgi, F., Houston, S. J., Jess, D. B., Keppens, R., Stangalini, M., Keys, P. H., Grant, S. D. T., Jafarzadeh, S., McFetridge, L. M., Murabito, M., Ermolli, I., and Giorgi, F.
Abstract: The formation of shocks within the solar atmosphere remains one of the few observable signatures of energy dissipation arising from the plethora of magnetohydrodynamic waves generated close to the solar surface. Active region observations offer exceptional views of wave behavior and its impact on the surrounding atmosphere. The stratified plasma gradients present in the lower solar atmosphere allow for the potential formation of many theorized shock phenomena. In this study, using chromospheric Ca II 854.2nm spectropolarimetric data of a large sunspot, we examine fluctuations in the plasma parameters in the aftermath of powerful shock events that demonstrate polarimetric reversals during their evolution. Modern inversion techniques are employed to uncover perturbations in the temperatures, line-of-sight velocities, and vector magnetic fields occurring across a range of optical depths synonymous with the shock formation. Classification of these non-linear signatures is carried out by comparing the observationally-derived slow, fast, and Alfv\'en shock solutions to the theoretical Rankine-Hugoniot relations. Employing over 200,000 independent measurements, we reveal that the Alfv\'en (intermediate) shock solution provides the closest match between theory and observations at optical depths of log(tau) = -4, consistent with a geometric height at the boundary between the upper photosphere and lower chromosphere. This work uncovers first-time evidence of the manifestation of chromospheric intermediate shocks in sunspot umbrae, providing a new method for the potential thermalization of wave energy in a range of magnetic structures, including pores, magnetic flux ropes, and magnetic bright points., Comment: 17 pages, 9 figures, accepted by ApJ
Published: 2020
Full Text: View/download PDF

41. Spectro-Polarimetric Analysis of an Umbral Filament

Author: Guglielmino, S. L., Romano, P., Cobo, B. Ruiz, Zuccarello, F., Murabito, M., Guglielmino, S. L., Romano, P., Cobo, B. Ruiz, Zuccarello, F., and Murabito, M.
Abstract: High-resolution observations of the solar photosphere have recently revealed the presence of elongated filamentary bright structures inside sunspot umbrae. These features, which have been called umbral filaments (UFs), differ in morphology, evolution, and magnetic configuration from light bridges that are usually observed to intrude in sunspots. To study an UF observed in the leading sunspot of active region NOAA 12529, we have analyzed spectro-polarimetric observations taken in the photosphere with the spectropolarimeter (SP) aboard the Hinode satellite. High-resolution observations in the upper chromosphere and transition region taken with the IRIS telescope and observations acquired by SDO/HMI and SDO/AIA have been used to complement the spectro-polarimetric analysis. The results obtained from the inversion of the Hinode/SP measurements allow us to discard the hypothesis that UFs are a kind of light bridge. In fact, we find no field-free or low-field strength region cospatial to the observed UF. In contrast, we detect in the structure Stokes profiles that indicate the presence of strong horizontal fields, larger than 2500 G. Furthermore, a significant portion of the UF has opposite polarity with respect to the hosting umbra. In the upper atmospheric layers, we observe filaments being cospatial to the UF in the photosphere. We interpret these findings as suggesting that the UF could be the photospheric manifestation of a flux rope hanging above the sunspot, which triggers the formation of penumbral-like filaments within the umbra via magneto-convection., Comment: 4 pages, 1 figure, Proceedings of the 9th Solar Polarization Workshop SPW9
Published: 2020
Full Text: View/download PDF

42. Spectropolarimetric Fluctuations in a Sunspot Chromosphere

Author: Stangalini, M., Baker, D., Valori, G., Jess, D. B., Jafarzadeh, S., Murabito, M., To, A. S. H., Brooks, D. H., Ermolli, I., Giorgi, F., MacBride, C. D., Stangalini, M., Baker, D., Valori, G., Jess, D. B., Jafarzadeh, S., Murabito, M., To, A. S. H., Brooks, D. H., Ermolli, I., Giorgi, F., and MacBride, C. D.
Abstract: The instrumental advances made in this new era of 4-meter class solar telescopes with unmatched spectropolarimetric accuracy and sensitivity, will enable the study of chromospheric magnetic fields and their dynamics with unprecedented detail. In this regard, spectropolarimetric diagnostics can provide invaluable insight into magneto-hydrodynamic (MHD) wave processes. MHD waves and, in particular, Alfv\'enic fluctuations associated to particular wave modes, were recently recognized as important mechanisms not only for the heating of the outer layers of the Sun's atmosphere and the acceleration of the solar wind, but also for the elemental abundance anomaly observed in the corona of the Sun and other Sun-like stars (also known as first ionisation potential; FIP) effect. Here, we take advantage of state-of-the-art and unique spectropolarimetric IBIS observations to investigate the relation between intensity and circular polarisation (CP) fluctuations in a sunspot chromosphere. Our results show a clear link between the intensity and CP fluctuations in a patch which corresponds to a narrow range of magnetic field inclinations. This suggests the presence of Alfv\'enic perturbations in the sunspot., Comment: 15 pages, 5 figures. Accepted for publication in Philosophical Transactions of the Royal Society A
Published: 2020
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43. Unveiling the magnetic nature of chromospheric vortices

Author: Murabito, Mariarita, Shetye, Juie, Stangalini, Marco, Verwichte, Erwin, Arber, Tony, Ermolli, Ilaria, Giorgi, Fabrizio, Goffrey, Tom, Murabito, Mariarita, Shetye, Juie, Stangalini, Marco, Verwichte, Erwin, Arber, Tony, Ermolli, Ilaria, Giorgi, Fabrizio, and Goffrey, Tom
Abstract: Vortex structures in the Sun's chromosphere are believed to channel energy between different layers of the solar atmosphere. We investigate the nature and dynamics of two small-scale quiet-Sun rotating structures in the chromosphere. We analyse two chromospheric structures that show clear rotational patterns in spectropolarimetric observations taken with the Interferometric Bidimensional Spectrometer (IBIS) at the Ca II 8542 \AA~ line. We present the detection of spectropolarimetric signals that manifest the magnetic nature of rotating structures in the chromosphere. Our observations show two long-lived structures of plasma that each rotate clockwise inside a 10 arcsec$^{2}$~ quiet-Sun region. Their circular polarization signals are 5-10 times above the noise level. Line-of-sight Doppler velocity and horizontal velocity maps from the observations reveal clear plasma flows at and around the two structures. An MHD simulation shows these two structures are plausibly magnetically connected. Wave analysis suggests that the observed rotational vortex pattern could be due to a combination of slow actual rotation and a faster azimuthal phase speed pattern of a magneto-acoustic mode. Our results imply that the vortex structures observed in the Sun's chromosphere are magnetic in nature and that they can be connected locally through the chromosphere., Comment: 6 pages, 9 figures, accepted for A&A. Some figures are a low-quality version of the original ones
Published: 2020
Full Text: View/download PDF

44. Restoring process of sunspot penumbra

Author: Romano, P., Murabito, M., Guglielmino, S. L., Zuccarello, F., Falco, M., Romano, P., Murabito, M., Guglielmino, S. L., Zuccarello, F., and Falco, M.
Abstract: We describe the disappearance of a sector of sunspot penumbra and its restoring process observed in the preceding sunspot of active region NOAA 12348. The evolution of the magnetic field and the plasma flows support the idea that the penumbra forms due to a change of inclination of the magnetic field of the canopy. Moving magnetic features have been observed during the disintegration phase of that sector of sunspot penumbra. During the restoring phase we have not observed any magnetic flux emergence around the sunspot. The restoring process of the penumbra sector completed in about 72 hours and it was accompanied by the transition from the counter-Evershed flow to the classical Evershed flow. The inversion of photospheric spectropolarimetric measurements taken by IBIS allowed us to reconstruct how the uncombed configuration of the magnetic field forms during the new settlement of the penumbra, i.e., the vertical component of the magnetic field seems to be progressively replaced by some horizontal field lines, corresponding to the intra-spines., Comment: 34 pages, 11 figures, accepted for ApJ
Published: 2020
Full Text: View/download PDF

45. Magnetohydrodynamic Non-linearities in Sunspot Atmospheres: Chromospheric Detections of Intermediate Shocks

Author: Houston, S. J., Jess, D. B., Keppens, R., Stangalini, M., Keys, P. H., Grant, S. D. T., Jafarzadeh, S., McFetridge, L. M., Murabito, M., Ermolli, I., Giorgi, F., Houston, S. J., Jess, D. B., Keppens, R., Stangalini, M., Keys, P. H., Grant, S. D. T., Jafarzadeh, S., McFetridge, L. M., Murabito, M., Ermolli, I., and Giorgi, F.
Abstract: The formation of shocks within the solar atmosphere remains one of the few observable signatures of energy dissipation arising from the plethora of magnetohydrodynamic waves generated close to the solar surface. Active region observations offer exceptional views of wave behavior and its impact on the surrounding atmosphere. The stratified plasma gradients present in the lower solar atmosphere allow for the potential formation of many theorized shock phenomena. In this study, using chromospheric Ca II 854.2nm spectropolarimetric data of a large sunspot, we examine fluctuations in the plasma parameters in the aftermath of powerful shock events that demonstrate polarimetric reversals during their evolution. Modern inversion techniques are employed to uncover perturbations in the temperatures, line-of-sight velocities, and vector magnetic fields occurring across a range of optical depths synonymous with the shock formation. Classification of these non-linear signatures is carried out by comparing the observationally-derived slow, fast, and Alfv\'en shock solutions to the theoretical Rankine-Hugoniot relations. Employing over 200,000 independent measurements, we reveal that the Alfv\'en (intermediate) shock solution provides the closest match between theory and observations at optical depths of log(tau) = -4, consistent with a geometric height at the boundary between the upper photosphere and lower chromosphere. This work uncovers first-time evidence of the manifestation of chromospheric intermediate shocks in sunspot umbrae, providing a new method for the potential thermalization of wave energy in a range of magnetic structures, including pores, magnetic flux ropes, and magnetic bright points., Comment: 17 pages, 9 figures, accepted by ApJ
Published: 2020
Full Text: View/download PDF

46. Spectro-Polarimetric Analysis of an Umbral Filament

Author: Guglielmino, S. L., Romano, P., Cobo, B. Ruiz, Zuccarello, F., Murabito, M., Guglielmino, S. L., Romano, P., Cobo, B. Ruiz, Zuccarello, F., and Murabito, M.
Abstract: High-resolution observations of the solar photosphere have recently revealed the presence of elongated filamentary bright structures inside sunspot umbrae. These features, which have been called umbral filaments (UFs), differ in morphology, evolution, and magnetic configuration from light bridges that are usually observed to intrude in sunspots. To study an UF observed in the leading sunspot of active region NOAA 12529, we have analyzed spectro-polarimetric observations taken in the photosphere with the spectropolarimeter (SP) aboard the Hinode satellite. High-resolution observations in the upper chromosphere and transition region taken with the IRIS telescope and observations acquired by SDO/HMI and SDO/AIA have been used to complement the spectro-polarimetric analysis. The results obtained from the inversion of the Hinode/SP measurements allow us to discard the hypothesis that UFs are a kind of light bridge. In fact, we find no field-free or low-field strength region cospatial to the observed UF. In contrast, we detect in the structure Stokes profiles that indicate the presence of strong horizontal fields, larger than 2500 G. Furthermore, a significant portion of the UF has opposite polarity with respect to the hosting umbra. In the upper atmospheric layers, we observe filaments being cospatial to the UF in the photosphere. We interpret these findings as suggesting that the UF could be the photospheric manifestation of a flux rope hanging above the sunspot, which triggers the formation of penumbral-like filaments within the umbra via magneto-convection., Comment: 4 pages, 1 figure, Proceedings of the 9th Solar Polarization Workshop SPW9
Published: 2020
Full Text: View/download PDF

47. Penumbral brightening events observed in AR NOAA 12546

Author: Murabito, M., Guglielmino, S. L., Ermolli, I., Stangalini, M., Giorgi, F., Murabito, M., Guglielmino, S. L., Ermolli, I., Stangalini, M., and Giorgi, F.
Abstract: Penumbral transient brightening events have been attributed to magnetic reconnection episodes occurring in the low corona. We investigated the trigger mechanism of these events in active region NOAA 12546 by using multi-wavelength observations obtained with the Interferometric Bidimensional Spectrometer (IBIS), by the \textit{Solar Dynamics Observatory} (SDO), the \textit{Interface Region Imaging Spectrograph} (IRIS), and the \textit{Hinode} satellites. We focused on the evolution of an area of the penumbra adjacent to two small-scale emerging flux regions (EFRs), which manifested three brightening events detected from the chromosphere to the corona. Two of these events correspond to B-class flares. The same region showed short-lived moving magnetic features (MMFs) that streamed out from the penumbra. In the photosphere, the EFRs led to small-scale penumbral changes associated with a counter-Evershed flow and to a reconfiguration of the magnetic fields in the moat. The brightening events had one of the footpoints embedded in the penumbra and seemed to result from the distinctive interplay between the pre-existing penumbral fields, MMFs, and the EFRs. The \textit{IRIS} spectra measured therein reveal enhanced temperature and asymmetries in spectral lines, suggestive of event triggering at different height in the atmosphere. Specifically, the blue asymmetry noted in \ion{C}{2} and \ion{Mg}{2} h\&k lines suggests the occurrence of chromospheric evaporation at the footpoint located in the penumbra as a consequence of magnetic reconnection process at higher atmospheric heigths., Comment: 14 pages, accepted for ApJ; some figures are in B/W to accomplish size limits
Published: 2019
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48. Continuum enhancements, line profiles and magnetic field evolution during consecutive flares

Author: Zuccarello, Francesca, Guglielmino, Salvo L., Capparelli, Vincenzo, Mathioudakis, Mihalis, Keys, Peter H., Criscuoli, Serena, Falco, Mariachiara, Murabito, Mariarita, Zuccarello, Francesca, Guglielmino, Salvo L., Capparelli, Vincenzo, Mathioudakis, Mihalis, Keys, Peter H., Criscuoli, Serena, Falco, Mariachiara, and Murabito, Mariarita
Abstract: During solar flares, magnetic energy can be converted into electromagnetic radiation from radio waves to $\gamma$ rays. Enhancements in the continuum at visible wavelengths give rise to white-light flares, as well as continuum enhancements in the FUV and NUV passbands. In addition, the strong energy release in these events can lead to the rearrangement of the magnetic field at the photospheric level, causing morphological changes in large and stable magnetic structures like sunspots. In this context, we describe observations acquired by satellite instruments (IRIS, SDO/HMI, Hinode/SOT) and ground-based telescopes (ROSA/DST) during two consecutive C7.0 and X1.6 flares occurred in active region NOAA 12205 on 2014 November 7. The flare was accompanied by an eruption. The results of the analysis show the presence of continuum enhancements during the evolution of the events, observed both in ROSA images and in \textit{IRIS} spectra. In the latter, a prominent blue-shifted component is observed at the onset of the eruption. We investigate the role played by the evolution of the $\delta$ sunspots of the active region in the flare triggering, and finally we discuss the changes in the penumbrae surrounding these sunspots as a further consequence of these flares., Comment: 19 pages, accepted for ApJ; some figures are in B/W to accomplish size limits
Published: 2019
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49. Properties of the Umbral Filament Observed in Active Region NOAA 12529

Author: Guglielmino, S. L., Romano, P., Cobo, B. Ruiz, Zuccarello, F., Murabito, M., Guglielmino, S. L., Romano, P., Cobo, B. Ruiz, Zuccarello, F., and Murabito, M.
Abstract: Recent observations of the solar photosphere revealed the presence of elongated filamentary bright structures inside sunspot umbrae, called umbral filaments (UFs). These features differ in morphology, magnetic configuration, and evolution from light bridges that are usually observed to intrude in sunspots. To characterize an UF observed in the umbra of the giant leading sunspot of active region NOAA 12529, we analyze high-resolution observations taken in the photosphere with the spectropolarimeter aboard the Hinode satellite and in the upper chromosphere and transition region with the IRIS telescope. The results of this analysis definitely rule out the hypothesis that the UF might be a kind of light bridge. In fact, we find no field-free or low-field strength region cospatial to the UF. Conversely, we recognize the presence of a strong horizontal field larger than 2500 G, a significant portion of the UF with opposite polarity with respect to the surroundings, and filaments in the upper atmospheric layers corresponding to the UF in the photosphere. These findings suggest that this structure is the photospheric manifestation of a flux rope hanging above the sunspot and forming penumbral-like filaments within the umbra via magneto-convection. This reinforces a previously proposed scenario., Comment: 16 pages, 10 figures, accepted for ApJ; some figures are presented in low-quality version
Published: 2019
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50. Recent insights on the penumbra formation process

Author: Murabito, M., Romano, P., Zuccarello, F., Guglielmino, S. L., Murabito, M., Romano, P., Zuccarello, F., and Guglielmino, S. L.
Abstract: Using high-resolution spectropolarimetric data acquired by \textit{IBIS}, as well as \textit{SDO}/HMI observations, we studied the penumbra formation in AR NOAA 11490 and in a sample of twelve ARs appeared on the solar disk on 2011 and 2012, which were characterized by $\beta$-type magnetic field configuration. The results show that the onset of the classical Evershed flow occurs in a very short time scale, 1-3 hours. Studying the formation of the first penumbral sector around the following proto-spot, we found that a stable penumbra forms in the area facing the opposite polarity, which appears to be co-spatial with an AFS, i.e. in a flux emergence region, in contrast with the results of \cite{Schlichenmaier2010} concerning the leading polarity of AR NOAA 11490. Conversely, analyzing the sample of twelve ARs, we noticed that there is not a preferred location for the formation of the first penumbral sector. We also observed before the penumbra formation an inverse Evershed flow, which changes its sign when the penumbra appears. This confirms the observational evidence that the appearance of the penumbral filaments is correlated with the transition from the inverse Evershed to the classical Evershed flow. Furthermore, the analysis suggests that the time needed to form the penumbra may be related to the location where the penumbra first appears. New high-resolution observations, like those that will be provided by the European Solar Telescope, are expected to increase our understanding of the penumbra formation process., Comment: 3 pages, 2 figures, to be published in "Nuovo Cimento C" as proceeding of the Third Meeting of the Italian Solar and Heliospheric Community
Published: 2019
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