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1. Brain charts for the human lifespan

Author

Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cábez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, and Landeau, B

Subjects
Biological Psychology, Psychology, Aging, Clinical Research, Neurosciences, Brain Disorders, Biomedical Imaging, Neurological, Mental health, Body Height, Brain, Humans, Longevity, Magnetic Resonance Imaging, Neuroimaging, 3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, CALM Team, Cam-CAN, CCNP, COBRE, cVEDA, ENIGMA Developmental Brain Age Working Group, Developing Human Connectome Project, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, Mayo Clinic Study of Aging, NSPN, POND, PREVENT-AD Research Group, VETSA, General Science & Technology
Abstract

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.

Published
2022

2. Publisher Correction: Brain charts for the human lifespan

Author

Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., Astle, D. E., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, S. A., Benegal, V., Beyer, F., Blangero, J., Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, A., Costantino, M., Courchesne, E., Crivello, F., Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, S., Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, G., Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galan-Garcia, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, D. C., Goodyer, I. M., Grant, P. E., Groenewold, N. A., Gunning, F. M., Gur, R. E., Gur, R. C., Hammill, C. F., Hansson, O., Hedden, T., Heinz, A., Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, A. J., Holt, R., Huang, H., Im, K., Ipser, J., Jack, Jr, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, D. T., Kahn, R. S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, S., Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, M. V., Lv, J., Lynch, C., Mallard, T. T., Marcelis, M., Markello, R. D., Mathias, S. R., Mazoyer, B., McGuire, P., Meaney, M. J., Mechelli, A., Medic, N., Misic, B., Morgan, S. E., Mothersill, D., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, R., Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, C., Park, M. M., Paus, T., Pausova, Z., Paz-Linares, D., Pichet Binette, A., Pierce, K., Qian, X., Qiu, J., Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero-Garcia, R., Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, T. D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, G., Schöll, M., Sharp, D., Shinohara, R. T., Skoog, I., Smyser, C. D., Sperling, R. A., Stein, D. J., Stolicyn, A., Suckling, J., Sullivan, G., Taki, Y., Thyreau, B., Toro, R., Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, S. L., van Amelsvoort, T., Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, A., Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, E., Westwater, M. L., Whalley, H. C., Witte, A. V., Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, A., Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., Bullmore, E. T., and Alexander-Bloch, A. F.

Published
2022
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4. A note on boundary-layer friction in baroclinic cyclones

Author

Boutle, I. A., Beare, R. J., Belcher, S. E., and Plant, R. S.

Subjects
Physics - Atmospheric and Oceanic Physics, Physics - Fluid Dynamics
Abstract

The interaction between extratropical cyclones and the underlying boundary layer has been a topic of recent discussion in papers by Adamson et. al. (2006) and Beare (2007). Their results emphasise different mechanisms through which the boundary layer dynamics may modify the growth of a baroclinic cyclone. By using different sea-surface temperature distributions and comparing the low-level winds, the differences are exposed and both of the proposed mechanisms appear to be acting within a single simulation., Comment: 5 pages, 3 figures

Published
2008
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5. The state of stroke services across the globe: Report of World Stroke Organization–World Health Organization surveys

Author

Thrift A. G., Martins S., Johnson W., Pandian J., Abd-Allah F., Varghese C., Mahal A., Yaria J., Phan H. T., Roth G., Gall S. L., Beare R., Phan T. G., Mikulik R., Norrving B., Feigin V. Abera S. F., Addissie A., Adeleye A., Adilbekov Y., Adilbekova B., Adoukonou T. A. Aguiar de Sousa D., Akhmetzhanova Z., Akinyemi R. O., Akpalu A. MB. ChB, Ameriso S. F., Andonova S., Abanto C., Awoniyi F. E., Bakhiet M., Basri H., Bath P. M., Bereczki D., Beretta S., Berkowitz A. L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M. S., Bovet P., Brainin M., Budincevic H., Cabral N. L., Cadilhac D A. , Caso V., Chen C., Chin J. H., Christensen H, Chwojnicki K., Conforto A. B., Cruz V. T., D'Amelio M., Danielyan K. E., Davis S., Demarin V, Dempsey R. J., Dichgans M., Dokova Donnan, G. Duran, Elizondo M. A. B., Elkind M. S., Endres M., Etedal I., Faris M. E., Fischer U., Gankpe F., Gavidia M., GayeSaavedra A., Giroud M., Gongora-Rivera F., Hachinski V., Hacke W., Hamadeh R. R., Hamzat T. K., Hankey G. J., Heldner M. R., Ibrahim N. M., Inoue M., Jee S., Jiann-Shing J., Johnston S. C., Kalkonde Y., Kamenova S., Kelly P., Khan T., Kiechl S., Kondybayeva A., Kõrv J., Kravchenko M., Krishnamurthi R., Langhorne P., Kang Z. L., Kruja J., Lavados P. M., Lebedynets D., Leung T. W., Liebeskind D. S., Lindsay P., Liu L., López-Jaramillo P., Lotufo P. A., Machline-Carrion J. M., Markus H. S., Marquez-Romero J. M., Medina M. T., Medukhanova S., Mehndiratta M. M., Mirrakhimov E., Mohl S., Murphy S., Musa K. I., Nasreldein A, Nogueira R., Nolte C. H., Noubiap J. J., Novarro-Escudero N., O'Donnell M., Ogun Y., Oraby M. I., Ovbiagele B., Ōrken D. N., Ōzdemir A. O., Ozturk S., Paccot M., Peters A., Piradov M., Platz T., Potpara T., Ranta A., Rathore F. A., Sacco R. L., Sahathevan R., Santos I. C., Saposnik G., Sarfo F. S., Sharma M., Sheth K. N., Shobhana A., Silva S. N., Suwanwela N. C., Sylaja P. N., Thakur K., Toni D., Topcuoglu M. A., Torales J., Towfighi A., Truelsen T., Tsiskaridze A., Tsong-Hai L., Tulloch-Reid M., Useche J. N., Vanacker P., Vassilopoulou S., Venketasubramanian N., Vukorepa G., Vuletic V., Wahab K. W., Wang W., Wijeratne T., Wolfe C, Yifru M. Y., YockCorrales A., Yonemoto N., Yperzeele L., Owolabi, MO, Thrift, AG, Martins, S, Johnson, W, Pandian, J, Abd-Allah, F, Varghese, C, Mahal, A, Yaria, J, Phan, HT, Roth, G, Gall, SL, Beare, R, Phan, TG, D'Amelio M, Mikulik, R, Norrving, B, Feigin, VL, and Thrift A. G., Martins S., Johnson W., Pandian J., Abd-Allah F., Varghese C., Mahal A., Yaria J., Phan H. T., Roth G., Gall S. L., Beare R., Phan T. G., Mikulik R., Norrving B., Feigin V. Abera S.F., Addissie A., Adeleye A., Adilbekov Y., Adilbekova B., Adoukonou T.A. Aguiar de Sousa D., Akhmetzhanova Z., Akinyemi R.O., Akpalu A. MB. ChB , Ameriso S.F. , Andonova S., Abanto C., Awoniyi F.E., Bakhiet M., Basri H., Bath, P.M., Bereczki D., Beretta S., Berkowitz A.L., Bernhardt J., Berzina G., Bhavsar B., Bisharyan M.S., Bovet P., Brainin, M., Budincevic H., Cabral N.L., , Cadilhac D A. , Caso V., , Chen C., Chin J.H. , Christensen H, , Di, Chwojnicki K., Conforto A.B., Cruz V.T., D'Amelio M., Danielyan K.E., Davis, S., Demarin V, Dempsey R.J., Dichgans M., Dokova, Donnan, G., Duran, J., Elizondo M.A.B., Elkind M.S., Endres M., Etedal I., Faris M.E., Fischer U., Gankpe F., Gavidia M., GayeSaavedra A., Giroud M., Gongora-Rivera F., Hachinski V. , Hacke, W., Hamadeh R.R., Hamzat T.K., Hankey G.J., Heldner M.R., Ibrahim, N.M., Inoue M., Jee S., Jiann-Shing J., Johnston S. C., Kalkonde Y., Kamenova S., Kelly P., Khan T., Kiechl S., Kondybayeva A., Kõrv J., Kravchenko M., Krishnamurthi R., Langhorne, P., Kang Z.L., Kruja, J., Lavados P.M., Lebedynets D., Leung T.W., Liebeskind D.S., Lindsay P., Liu, L., López-Jaramillo P., Lotufo P.A., Machline-Carrion J.M., Markus, H.S., Marquez-Romero J.M., Medina M.T., Medukhanova S., Mehndiratta M.M., Mirrakhimov E., Mohl S., Murphy S., Musa K.I., Nasreldein A, Nogueira R., Nolte C.H., Norrving B., Noubiap J.J., Novarro-Escudero N., O'Donnell M., Ogun Y., Oraby M.I., Ovbiagele B., Ōrken D.N., Ōzdemir A.O., Ozturk S., Paccot M., Peters A., Piradov, M., Platz T., Potpara T., Ranta A., Rathore F.A., Roth G., Sacco R.L., Sahathevan R., Santos I.C., Saposnik G., Sarfo F.S., Sharma M., Sheth K.N., Shobhana A., Silva, S.N., Suwanwela N. C., Sylaja P.N., Thakur K., Toni D., Topcuoglu M.A., Torales J., Towfighi A., Truelsen, T., Tsiskaridze A., Tsong-Hai L., Tulloch-Reid M., Useche J.N., Vanacker P., Vassilopoulou S., Venketasubramanian N., Vukorepa G., Vuletic V., Wahab K.W., Wang W., Wijeratne T., Wolfe C, Yifru M.Y., YockCorrales A., Yonemoto N., Yperzeele L.

Subjects
Gerontology, medicine.medical_specialty, medicine.medical_treatment, media_common.quotation_subject, Globe, Commission, stroke quadrangle, Global Health, World Health Organization, World health, Article, Stroke service, rehabilitation, low and middle-income countrie, 03 medical and health sciences, 0302 clinical medicine, State (polity), prevention, Acute care, Surveys and Questionnaires, medicine, Humans, 030212 general & internal medicine, high-income countrie, Stroke, Developing Countries, media_common, Stroke services, Rehabilitation, business.industry, Stroke Rehabilitation, medicine.disease, 3. Good health, medicine.anatomical_structure, Neurology, low- and middle-income countrie, Settore MED/26 - Neurologia, acute care, business, 030217 neurology & neurosurgery
Abstract

Background Improving stroke services is critical for reducing the global stroke burden. The World Stroke Organization–World Health Organization– Lancet Neurology Commission on Stroke conducted a survey of the status of stroke services in low and middle-income countries (LMICs) compared to high-income countries. Methods Using a validated World Stroke Organization comprehensive questionnaire, we collected and compared data on stroke services along four pillars of the stroke quadrangle (surveillance, prevention, acute stroke, and rehabilitation) in 84 countries across World Health Organization regions and economic strata. The World Health Organization also conducted a survey of non-communicable diseases in 194 countries in 2019. Results Fewer surveillance activities (including presence of registries, presence of recent risk factors surveys, and participation in research) were reported in low-income countries than high-income countries. The overall global score for prevention was 40.2%. Stroke units were present in 91% of high-income countries in contrast to 18% of low-income countries (p Conclusions There is an urgent need to improve access to stroke units and services globally especially in LMICs. Countries with less stroke services can adapt strategies from those with better services. This could include establishment of a framework for regular monitoring of stroke burden and services, implementation of integrated prevention activities and essential acute stroke care services, and provision of interdisciplinary care for stroke rehabilitation.

Published
2021

7. A Simple yet Accurate Method for Students to Determine Asteroid Rotation Periods from Fragmented Light Curve Data

Author

Beare, R. A.

Abstract

Professional astronomers use specialized software not normally available to students to determine the rotation periods of asteroids from fragmented light curve data. This paper describes a simple yet accurate method based on Microsoft Excel[R] that enables students to find periods in asteroid light curve and other discontinuous time series data of the sort that they might obtain from robotic telescopes like the Faulkes Telescopes. The method is based on least squares fitting of a Fourier sum model. An initial estimate of the rotation period is made using a composite light curve obtained by superposition of the separate data sets. This initial estimate is then refined by observing how the variance of residual errors changes as the period is varied and the model moves in and out of phase with individual sets of observations. Examples are given relating to the rotation periods of six asteroids based on light curve data of varying quality from excellent to poor. (Contains 16 figures and 2 tables. Brief details of how the method is implemented is appended.)

Published
2008
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10. Software Tools in Science Classrooms.

Author

Beare, R.

Abstract

Describes a spreadsheet system that enables students, teachers, and curriculum developers to use Microsoft EXCEL's database and graphics capabilities in the science classroom. System design goals are explained, examples of system applications are given, and possible future developments are discussed. (15 references) (LRW)

Published
1992

16. Blood pressure, aortic stiffness, hemodynamics and cognition in twin pairs discordant for type 2 diabetes

Author

Karayiannis, C, Moran, C, Sharman, J E, Beare, R, Quinn, S J, Phan, T G, Wood, Amanda, Thrift, A G, Wang, W C, and Srikanth, V

Subjects
endocrine system diseases, nutritional and metabolic diseases
Abstract

Background: Type 2 diabetes (T2D) is associated with an increased risk of cognitive impairment and dementia with poorly understood underlying mechanisms. Objective: We examined the role of blood pressure (BP), aortic stiffness, and hemodynamics in this association. Methods: Cross-sectional sample of late middle-aged twins discordant for T2D from the Australian Twin Registry. Measurements included neuropsychological battery and brain MRI including arterial spin labelling (ASL) to measure cerebral perfusion. Mobil-o-Graph devices were used to non-invasively obtain 24-hour BP, aortic stiffness, and hemodynamic measures. Using mixed modelling, we studied associations of T2D with cognition, MRI measures, BP, aortic stiffness, and hemodynamics. Results: There were 23 twin pairs with mean age 63.7 (SD = 6.1) years. T2D (β=-0.45, p < 0.001) and age (β=-0.05, p = 0.022) were independently associated with poorer attention but not with memory or perceptual speed. T2D was associated with reduced nocturnal central systolic BP dipping (β=-3.79, p = 0.027), but not with BP, aortic stiffness, cerebral perfusion, or other hemodynamic measures. There was a statistically significant interaction between T2D and central systolic BP dipping in predicting attention scores (both p < 0.05 for the interaction term) whereby there was a positive association between BP dipping and attention scores in those with T2D, but not in those without T2D. Conclusion: We found an association between T2D and reduced nocturnal central systolic dipping, but not with any other measures of BP, stiffness or hemodynamic measures. Further study of the role of nocturnal central BP dipping in the association between T2D and cognitive impairment may help identify potential mechanisms.

Published
2019

26. Single-column Model Intercomparison for a Stably Stratified Atmospheric Boundary Layer

Author

Cuxart, J, Holtslag, A. A. M, Steeneveld, G-J, Beare, R. J, Bazile, E, Beljaars, A, Cheng, A, Conangla, L, Ek, M, Freedman, F, and Hamdi, R

Subjects
Meteorology And Climatology
Abstract

The parameterization of the stably stratified atmospheric boundary layer is a difficult issue, which has a large impact on the medium-range weather forecasts and on climate integrations. A non-strongly stratified arctic case is simulated by nineteen single-column turbulence schemes. The statistics from the Large-eddy simulation (LES) intercomparison made for the same case by eight different models are used as a guiding reference. The single-column parameterizations include research schemes and operational schemes from major forecast and climate research centres. First order schemes, a large number of turbulence kinetic energy closures, and other proposals have submitted results. There is a large spread in the results; in general, the operational schemes mix more efficiently than the research ones, and the TKE and other higher order closures give results closer to the LES statistics. The sensitivities of the schemes to the parameters of their turbulence closures are partially explored.

Published
2004

32. Feasibility of a multi-modal exercise program on cognition in older adults with Type 2 diabetes – a pilot randomised controlled trial

Author

Callisaya, M. L., primary, Daly, R. M., additional, Sharman, J. E., additional, Bruce, D., additional, Davis, T. M. E., additional, Greenaway, T., additional, Nolan, M., additional, Beare, R., additional, Schultz, M. G., additional, Phan, T., additional, Blizzard, L. C., additional, and Srikanth, V. K., additional

Published
2017
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35. White Matter Lesion Progression Genome-Wide Search for Genetic Influences

Author

Hofer, E., Cavalieri, M., Bis, J.C., DeCarli, C., Fornage, M., Sigurdsson, S., Srikanth, V., Trompet, S., Verhaaren, B.F.J., Wolf, C., Yang, Q., Adams, H.H.H., Amouyel, P., Beiser, A., Buckley, B.M., Callisaya, M., Chauhan, G., Craen, A.J.M. de, Dufouil, C., Duijn, C.M. van, Ford, I., Freudenberger, P., Gottesman, R.F., Gudnason, V., Heiss, G., Hofman, A., Lumley, T., Martinez, O., Mazoyer, B., Moran, C., Niessen, W.J., Phan, T., Psaty, B.M., Satizabal, C.L., Sattar, N., Schilling, S., Shibata, D.K., Slagboom, P.E., Smith, A., Stott, D.J., Taylor, K.D., Thomson, R., Toglhofer, A.M., Tzourio, C., Buchem, M. van, Wang, J., Westendorp, R.G.J., Windham, B.G., Vernooij, M.W., Zijdenbos, A., Beare, R., Debette, S., Ikram, M.A., Jukema, J.W., Launer, L.J., Longstreth, W.T., Mosley, T.H., Seshadri, S., Schmidt, H., Schmidt, R., and Cohorts Heart Aging Res Genomic Ep

Subjects
Adult, Male, Aging, Clinical Sciences, Cardiorespiratory Medicine and Haematology, Cardiovascular, Cohort Studies, Leukoencephalopathies, Clinical Research, Genetics, Humans, magnetic resonance imaging, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Prospective Studies, Aetiology, Aged, Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium, Neurology & Neurosurgery, white matter lesions, Prevention, Human Genome, Neurosciences, Middle Aged, biological factors, White Matter, Disease Progression, Female, cerebral small vessel diseases, Genome-Wide Association Study
Abstract

Background and purposeWhite matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.MethodsHeritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies.ResultsA total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at 6.5%, and no single-nucleotide polymorphisms achieved genome-wide significance (P

Published
2015

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