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Rate of de novo mutations and the importance of father’s age to disease risk
Open accessAbstract
Mutations generate sequence diversity and provide a substrate for selection. The rate of de novo mutations is therefore of major importance to evolution. Here we conduct a study of genome-wide mutation rates by sequencing the entire genomes of 78 Icelandic parent-offspring trios at high coverage. We show that in our samples, with an average father's age of 29.7, the average de novo mutation rate is 1.20 × 10(-8) per nucleotide per generation. Most notably, the diversity in mutation rate of single nucleotide polymorphisms is dominated by the age of the father at conception of the child. The effect is an increase of about two mutations per year. An exponential model estimates paternal mutations doubling every 16.5 years. After accounting for random Poisson variation, father's age is estimated to explain nearly all of the remaining variation in the de novo mutation counts. These observations shed light on the importance of the father's age on the risk of diseases such as schizophrenia and autism.
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“Recent evidence suggests that de novo mutations that arise in the germline are a significant cause of ASD, although it is important to keep in mind that the genetic aetiology of about 70% of the forms of ASD is unknown and it remains perplexing why ASD is at least four times more prevalent in males than in females.”
From Activity-dependent neuronal signalling and autism spectrum disorder (2013) · cites this paper as [10]
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“These studies demonstrate the ability of new sequencing technologies to significantly advance our understanding of the genetic basis of ASD.”
From Activity-dependent neuronal signalling and autism spectrum disorder (2013) · cites this paper as [10]
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“suggesting that the observed SNP heritability for autistic carriers reflects autism rather than factors associated with the generation of germline mutations57,58.”
From Genetic correlates of phenotypic heterogeneity in autism (2022) · cites this paper as [58]
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“We and others have demonstrated that advanced paternal age correlates with increased rates of germline mutation in offspring28–30”
From A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex (2022) · cites this paper as [29]
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“ASD is often due to newly arising gene copy number variants (CNVs) — such as a deletion or duplication of a region of a chromosome — or a rare mutation that arises in the germ cell, particularly in sperm of older fathers5–10.”
From Activity-dependent neuronal signalling and autism spectrum disorder (2013) · cites this paper as [10]
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“References 7– 10 use exome and entire genome sequencing to demonstrate the importance of rare mutations in ASD and identify new genetic mutations associated with ASD.”
From Activity-dependent neuronal signalling and autism spectrum disorder (2013) · cites this paper as [10]
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“Thus, a majority (70%) of de novo mutations originate from the father and total rate of new mutations in offspring increase by 1–2 mutations per year with his age (Kong et al., 2012; Michaelson et al., 2012).”
From Getting to the cores of autism (2019) · cites this paper as Kong et al., 2012
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“In the Icelandic trios, TCC → TTC and GGA → GAA are ranked 20th and 18th.”
From Evidence for recent, population-specific evolution of the human mutation rate (2015) · cites this paper as [10]
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations
O’Roak, B. J., Vives, L., Girirajan, S., Karakoc, E., Krumm, N., Coe, B. P., Levy, R., Ko, A., Lee, C., Smith, J. D., et al. (2012) · Nature · doi:10.1038/nature10989 · Cited by 2,165 · cited 4×
“Applying (5) eliminated 1,285 candidate mutations (Supplementary Information).”
InfluentialDe novo mutations revealed by whole-exome sequencing are strongly associated with autism
Sanders, S. J., Murtha, M. T., Gupta, A. R., Murdoch, J. D., Raubeson, M. J., Willsey, A. J., Ercan-Sencicek, A. G., DiLullo, N. M., Parikshak, N. N., Stein, J. L., et al. (2012) · Nature · doi:10.1038/nature10945 · Cited by 2,084
Patterns and rates of exonic de novo mutations in autism spectrum disorders
Neale, B. M., Kou, Y., Liu, L., Ma’ayan, A., Samocha, K. E., Sabo, A., Lin, C.-F., Stevens, C., Wang, L.-S., Makarov, V., et al. (2012) · Nature · doi:10.1038/nature11011 · Cited by 1,734
Estimate of the Mutation Rate per Nucleotide in Humans
Nachman, M. W., & Crowell, S. L. (2000) · Genetics · doi:10.1093/genetics/156.1.297 · Cited by 1,226
Molecular basis of base substitution hotspots in Escherichia coli
Coulondre, C., Miller, J. H., Farabaugh, P. J., & Gilbert, W. (1978) · Nature · doi:10.1038/274775a0 · Cited by 1,193
Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing
Roach, J. C., Glusman, G., Smit, A. F. A., Huff, C. D., Hubley, R., Shannon, P. T., Rowen, L., Pant, K. P., Goodman, N., Bamshad, M., et al. (2010) · Science · doi:10.1126/science.1186802 · Cited by 1,084
The origins, patterns and implications of human spontaneous mutation
Crow, J. F. (2000) · Nature Reviews Genetics · doi:10.1038/35049558 · Cited by 928
Rate, molecular spectrum, and consequences of human mutation
Lynch, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912629107 · Cited by 792
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Bromham, L. D., Duchêne, S., Hua, X., Ritchie, A. M., Duchêne, D. A., & Ho, S. Y. W. (2017) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12390 · Cited by 163
Takahashi, Y., Fukuda, Y., Yoshimura, J., Toyoda, A., Kurppa, K. J., Moritoyo, H., Belzil, V., Dion, P. A., Higasa, K., Doi, K., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.09.008 · Cited by 162
Human generation times across the past 250,000 years
Wang, R. J., Al-Saffar, S. I., Rogers, J., & Hahn, M. W. (2023) · Science Advances · doi:10.1126/sciadv.abm7047 · Cited by 93
Impact of Advanced Paternal Age on Fertility and Risks of Genetic Disorders in Offspring
Kaltsas, A., Moustakli, E., Zikopoulos, A., Georgiou, I. A., Dimitriadis, F., Symeonidis, E. N., Markou, E., Michaelidis, T. M., Tien, D. M. B., Giannakis, I., et al. (2023) · Genes · doi:10.3390/genes14020486 · Cited by 161
DNA Damage and Repair in Human Reproductive Cells
Rodríguez, A. G., Gosálvez, J., Agarwal, A. K., Roy, R., & Johnston, S. D. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms20010031 · Cited by 160
Strong male bias drives germline mutation in chimpanzees
Venn, O., Turner, I., Mathieson, I., de Groot, N., Bontrop, R. E., & McVean, G. (2014) · Science · doi:10.1126/science.344.6189.1272 · Cited by 158
Lin, G. N., Corominas, R., Lemmens, I., Yang, X., Tavernier, J., Hill, D. E., Vidal, M., Sebat, J., & Iakoucheva, L. M. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.010 · Cited by 155
Y Chromosomes of 40% Chinese Descend from Three Neolithic Super-Grandfathers
Yan, S. L., Wang, C., Zheng, H., Wang, W., Qin, Z., Wei, L., Wang, Y., Pan, X., Fu, W., He, Y., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105691 · Cited by 155
Genetic correlates of phenotypic heterogeneity in autism
Warrier, V., Zhang, X., Reed, P., Havdahl, A., Moore, T. M., Cliquet, F., Leblond, C. S., Rolland, T., Rosengren, A., LEAP, E.-A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01072-5 · Cited by 152
Replicative mechanisms for CNV formation are error prone
Carvalho, C. M. B., Pehli̇van, D., Ramocki, M. B., Fang, P., Alleva, B., Franco, L. M., Belmont, J. W., Hastings, P. J., & Lupski, J. R. (2013) · Nature Genetics · doi:10.1038/ng.2768 · Cited by 152
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Robinson, M. R., Wray, N. R., & Visscher, P. M. (2014) · Trends in Genetics · doi:10.1016/j.tig.2014.02.003 · Cited by 152
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Interpreting the Dependence of Mutation Rates on Age and Time
Gao, Z., Wyman, M. J., Sella, G., & Przeworski, M. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002355 · Cited by 148
Veeramah, K. R., Rott, A., Groß, M., van Dorp, L., López, S., Kirsanow, K., Sell, C., Blöcher, J., Wegmann, D., Link, V., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1719880115 · Cited by 148
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Bögershausen, N., & Wollnik, B. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00252 · Cited by 148
The effects of advanced paternal age on fertility
Kovac, J. R., Addai, J. B., Smith, R. P., Coward, R. M., Lamb, D. J., & Lipshultz, L. I. (2013) · Asian Journal of Andrology · doi:10.1038/aja.2013.92 · Cited by 147
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Schrider, D. R., Shanku, A. G., & Kern, A. D. (2016) · Genetics · doi:10.1534/genetics.116.190223 · Cited by 148
Jonge, C. J. D., & Barratt, C. L. R. (2019) · Andrology · doi:10.1111/andr.12673 · Cited by 146
Autism spectrum disorders: from genes to neurobiology
Jeremy Willsey, A., & State, M. W. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.015 · Cited by 145
Reduced fitness in progeny from old parents in a natural population
Schroeder, J., Nakagawa, S., Rees, M., Mannarelli, M., & Burke, T. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422715112 · Cited by 145
Recurrent de novo mutations in neurodevelopmental disorders: properties and clinical implications
Wilfert, A. B., Sulovari, A., Turner, T. N., Coe, B. P., & Eichler, E. E. (2017) · Genome Medicine · doi:10.1186/s13073-017-0498-x · Cited by 144
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Scally, A. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.07.008 · Cited by 145
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Janecka, M., Mill, J., Basson, M. A., Goriely, A., Spiers, H., Reichenberg, A., Schalkwyk, L., & Fernandes, C. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.294 · Cited by 140
Lane, M., McPherson, N. O., Fullston, T., Spillane, M., Sandeman, L., Kang, W. X., & Zander‐Fox, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100832 · Cited by 140
Begueria, R., García, D., Obradors, A., Poisot, F., Vassena, R., & Vernaeve, V. (2014) · Human Reproduction · doi:10.1093/humrep/deu189 · Cited by 139
Xie, K., Ryan, D. P., Pearson, B. L., Henzel, K. S., Neff, F., Vidal, R. O., Hennion, M., Lehmann, I., Schleif, M., Schröder, S., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707337115 · Cited by 138
Codina‐Solà, M., Rodríguez‐Santiago, B., Homs, A., Santoyo‐López, J., Rigau, M., Laín, G. A., Campo, M. D., Gener, B., Gabau, E., Botella, M. P., et al. (2015) · Molecular Autism · doi:10.1186/s13229-015-0017-0 · Cited by 137
The co-occurrence of autistic and ADHD dimensions in adults: an etiological study in 17 770 twins
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Carlson, J., Locke, A. E., Flickinger, M., Zawistowski, M., Levy, S., Myers, R., Boehnke, M., Kang, H. M., Scott, L. J., Li, J. Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05936-5 · Cited by 142
Quantification of GC-biased gene conversion in the human genomePreprint
Glémin, S., Arndt, P. F., Messer, P. W., Petrov, D. A., Galtier, N., & Duret, L. (2015) · Genome Research · doi:10.1101/gr.185488.114 · Cited by 136
DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics
Liu, L., Lei, J., Sanders, S., Willsey, A. J., Kou, Y., Cicek, A. E., Klei, L., Lu, C., He, X., Li, M., et al. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-22 · Cited by 135
De Novo Mutations Reflect Development and Aging of the Human Germline
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Amster, G., & Sella, G. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1515798113 · Cited by 134
Fullston, T., McPherson, N. O., Owens, J. A., Kang, W. X., Sandeman, L., & Lane, M. (2015) · Physiological Reports · doi:10.14814/phy2.12336 · Cited by 133
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Vijg, J. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101316 · Cited by 133
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Ness, R. W., Morgan, A. D., Colegrave, N., & Keightley, P. D. (2012) · Genetics · doi:10.1534/genetics.112.145078 · Cited by 132
Thompson, K., Majd, H., Dallabona, C., Reinson, K., King, M. S., Alston, C. L., He, L., Lodi, T., Jones, S. A., Fattal‐Valevski, A., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.08.014 · Cited by 132
Xu, X., Yang, X., Wu, Q., Liu, A., Yang, X., Ye, A. Y., Huang, A. Y., Li, J., Wang, M., Yu, Z., et al. (2015) · Human Mutation · doi:10.1002/humu.22819 · Cited by 131
Liu, H., Jia, Y., Sun, X., Tian, D., Hurst, L. D., & Yang, S. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw226 · Cited by 131
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Andersen, A. N., & Urhøj, S. K. (2017) · Fertility and Sterility · doi:10.1016/j.fertnstert.2016.12.019 · Cited by 131
O’Brown, N. M., Summers, B. R., Jones, F. C., Brady, S. D., & Kingsley, D. M. (2015) · eLife · doi:10.7554/elife.05290 · Cited by 130
svclassify: a method to establish benchmark structural variant calls
Parikh, H. M., Mohiyuddin, M., Lam, H. Y. K., Iyer, H. K., Chen, D., Pratt, M., Bartha, G. T., Spies, N., Losert, W., Zook, J. M., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-2366-2 · Cited by 130
Gharagozloo, P., Gutiérrez‐Adán, A., Champroux, A., Noblanc, A., Kocer, A., Calle, A., Pérez‐Cerezales, S., Pericuesta, E., Polhemus, A. M., Moazamian, A., et al. (2016) · Human Reproduction · doi:10.1093/humrep/dev302 · Cited by 129
Multi-nucleotide de novo Mutations in Humans
Besenbacher, S., Sulem, P., Helgason, A., Helgason, H., Kristjansson, H., Jónasdóttir, Á., Jónasdóttir, A., Magnússon, Ó. Þ., Þorsteinsdóttir, U., Másson, G., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006315 · Cited by 129
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Campbell, I. M., Stewart, J. R., James, R. A., Lupski, J. R., Stankiewicz, P., Olofsson, P., & Shaw, C. A. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.08.010 · Cited by 127
Characteristics of de novo structural changes in the human genomePreprint
Kloosterman, W. P., Francioli, L. C., Hormozdiari, F., Marschall, T., Hehir‐Kwa, J. Y., Abdellaoui, A., Lameijer, E.-W., Moed, M. H., Koval, V., Renkens, I., et al. (2015) · Genome Research · doi:10.1101/gr.185041.114 · Cited by 127
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Verón, G. L., Tissera, A. D., Bello, R., Beltramone, F., Estofan, G. M., Molina, R. I., & Vazquez-Levin, M. H. (2018) · Fertility and Sterility · doi:10.1016/j.fertnstert.2018.03.016 · Cited by 126
Almeling, R., & Waggoner, M. R. (2013) · Gender & Society · doi:10.1177/0891243213484510 · Cited by 125
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Similarities and differences in patterns of germline mutation between mice and humans
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Risk of psychiatric illness from advanced paternal age is not predominantly from de novo mutations
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Human de novo mutation rates from a four-generation pedigree reference
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Hall, M. B., Willis, D. E., Rodriguez, E. L., & Schwarz, J. M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1135559 · Cited by 117
Ness, R. W., Morgan, A. D., Vasanthakrishnan, R. B., Colegrave, N., & Keightley, P. D. (2015) · Genome Research · doi:10.1101/gr.191494.115 · Cited by 117
Werling, D. M., & Geschwind, D. H. (2015) · Molecular Autism · doi:10.1186/s13229-015-0004-5 · Cited by 116
McManus, K. F., Oill, A. M. T., Henn, B. M., Bustamante, C. D., Sikora, M., & Cornejo, O. E. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006560 · Cited by 119
Liu, Z., Zhu, L., Roberts, R. A., & Tong, W. (2019) · Trends in Genetics · doi:10.1016/j.tig.2019.08.006 · Cited by 117
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Jónsson, H., Sulem, P., Arnadottir, G. A., Pálsson, G., Eggertsson, H. P., Kristmundsdóttir, S., Zink, F., Kehr, B., Hjörleifsson, K. E., Jensson, B. Ö., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0259-9 · Cited by 115
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Arbeithuber, B., Hester, J., Cremona, M. A., Stoler, N., Zaidi, A. A., Higgins, B., Anthony, K., Chiaromonte, F., Díaz, F. J., & Makova, K. D. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000745 · Cited by 115
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Hayward, L. K., & Sella, G. (2022) · eLife · doi:10.7554/elife.66697 · Cited by 115
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Alkuraya, F. S. (2013) · Human Genetics · doi:10.1007/s00439-013-1344-x · Cited by 114
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Lynch, M. (2016) · Genetics · doi:10.1534/genetics.115.180471 · Cited by 114
Pugsley, K., Scherer, S. W., Bellgrove, M. A., & Hawi, Z. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01142-w · Cited by 114
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Das, M., Alhathal, N. K., Gabriel, M. S., Phillips, S., Kadoch, I.-J., Bissonnette, F., Holzer, H. E. G., & Zini, A. S. (2013) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-013-0015-0 · Cited by 111
Bornstein, M. H. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy405 · Cited by 111
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Goriely, A., McGrath, J. J., Hultman, C. M., Wilkie, A. O. M., & Malaspina, D. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12101352 · Cited by 110
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Berko, E. R., Suzuki, M., Beren, F., Lemetre, C., Alaimo, C. M., Calder, R. B., Ballaban‐Gil, K. R., Gounder, B., Kampf, K., Kirschen, J., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004402 · Cited by 110
Paternal age: Negative impact on sperm genome decays and IVF outcomes after 40 years
Kaarouch, I., Bouamoud, N., Madkour, A., Louanjli, N., Saadani, B., Assou, S., Aboulmaouahib, S., Amzazi, S., Copin, H., Benkhalifa, M., et al. (2018) · Molecular Reproduction and Development · doi:10.1002/mrd.22963 · Cited by 110
Belyeu, J. R., Brand, H., Wang, H., Zhao, X., Pedersen, B. S., Feusier, J. E., Gupta, M., Nicholas, T. J., Brown, J., Baird, L. M., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.02.012 · Cited by 110
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Özkösem, B., Feinstein, S. I., Fisher, A. B., & O’Flaherty, C. (2015) · Redox Biology · doi:10.1016/j.redox.2015.02.004 · Cited by 110
Metadata
- Authors
- Kong, A., Frigge, M. L., Masson, G., Besenbacher, S., Sulem, P., Magnusson, G., Gudjonsson, S. A., Sigurdsson, A., Jonasdottir, A., Jonasdottir, A., Wong, W. S. W., Sigurdsson, G., Walters, G. B., Steinberg, S., Helgason, H., Thorleifsson, G., Gudbjartsson, D. F., Helgason, A., Magnusson, O. T., Thorsteinsdottir, U., & Stefansson, K.
- Affiliations
- deCODE Genetics (Iceland) (IS)
- Illumina (United Kingdom) (GB)
- Corresponding author
- Kong, Augustine
- ORCID
- Venue
- Nature
- Published
- 2012-08
- Volume
- 488
- Issue
- 7412
- Pages
- 471-475
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3548427
- OpenAlex
- W2020331089
- Cited by
- 2,134
- References
- 27
- Citations by year
- 2026: 83 · 2025: 95 · 2024: 113 · 2023: 109 · 2022: 128 · 2021: 147 · 2020: 175 · 2019: 154 · 2018: 149 · 2017: 167 · 2016: 180 · 2015: 186 · 2014: 209 · 2013: 188 · 2012: 46
- FWCI
- 120.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Hirsla (Landspítali University Hospital) (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH071425, MH071425)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- de novo mutations, mutation rate, paternal age, single nucleotide polymorphisms, parent-offspring trios, schizophrenia, autism spectrum disorder, disease risk, demographic transition, Icelandic population
- MeSH terms
- Adult, Autistic Disorder, Chromosomes, Human, Female, Humans, Iceland, Male, Middle Aged, Mothers, Ovum, Paternal Age, Pedigree, Risk Factors, Schizophrenia, Selection, Genetic, Spermatozoa, Genome, Human, Sequence Analysis, DNA, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Young Adult, Mutation Rate
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