Evaluating sample size to estimate genetic management metrics in the genomics era
Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of estimates can be influenced by the number of individual genotypes analysed. Biologists are confronted with varied advice regarding the sample...
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Published in | Molecular ecology resources Vol. 18; no. 5; pp. 1077 - 1091 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.09.2018
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Abstract | Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of estimates can be influenced by the number of individual genotypes analysed. Biologists are confronted with varied advice regarding the sample size necessary for reliable estimates when using genomic tools. We developed a simulation framework to identify the optimal sample size for three widely used metrics to enable quantification of expected variance and relative bias of estimates and a comparison of results among populations. We applied this approach to analyse empirical genomic data for 30 individuals from each of four different free‐ranging Rocky Mountain bighorn sheep (Ovis canadensis canadensis) populations in Montana and Wyoming, USA, through cross‐species application of an Ovine array and analysis of approximately 14,000 single nucleotide polymorphisms (SNPs) after filtering. We examined intra‐ and interpopulation relationships using kinship and identity by state metrics, as well as FST between populations. By evaluating our simulation results, we concluded that a sample size of 25 was adequate for assessing these metrics using the Ovine array to genotype Rocky Mountain bighorn sheep herds. However, we conclude that a universal sample size rule may not be able to sufficiently address the complexities that impact genomic kinship and inbreeding estimates. Thus, we recommend that a pilot study and sample size simulation using R code we developed that includes empirical genotypes from a subset of populations of interest would be an effective approach to ensure rigour in estimating genomic kinship and population differentiation. |
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AbstractList | Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of estimates can be influenced by the number of individual genotypes analysed. Biologists are confronted with varied advice regarding the sample size necessary for reliable estimates when using genomic tools. We developed a simulation framework to identify the optimal sample size for three widely used metrics to enable quantification of expected variance and relative bias of estimates and a comparison of results among populations. We applied this approach to analyse empirical genomic data for 30 individuals from each of four different free‐ranging Rocky Mountain bighorn sheep (Ovis canadensis canadensis) populations in Montana and Wyoming, USA, through cross‐species application of an Ovine array and analysis of approximately 14,000 single nucleotide polymorphisms (SNPs) after filtering. We examined intra‐ and interpopulation relationships using kinship and identity by state metrics, as well as FST between populations. By evaluating our simulation results, we concluded that a sample size of 25 was adequate for assessing these metrics using the Ovine array to genotype Rocky Mountain bighorn sheep herds. However, we conclude that a universal sample size rule may not be able to sufficiently address the complexities that impact genomic kinship and inbreeding estimates. Thus, we recommend that a pilot study and sample size simulation using R code we developed that includes empirical genotypes from a subset of populations of interest would be an effective approach to ensure rigour in estimating genomic kinship and population differentiation. Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of estimates can be influenced by the number of individual genotypes analysed. Biologists are confronted with varied advice regarding the sample size necessary for reliable estimates when using genomic tools. We developed a simulation framework to identify the optimal sample size for three widely used metrics to enable quantification of expected variance and relative bias of estimates and a comparison of results among populations. We applied this approach to analyse empirical genomic data for 30 individuals from each of four different free‐ranging Rocky Mountain bighorn sheep (Ovis canadensis canadensis) populations in Montana and Wyoming, USA, through cross‐species application of an Ovine array and analysis of approximately 14,000 single nucleotide polymorphisms (SNPs) after filtering. We examined intra‐ and interpopulation relationships using kinship and identity by state metrics, as well as FST between populations. By evaluating our simulation results, we concluded that a sample size of 25 was adequate for assessing these metrics using the Ovine array to genotype Rocky Mountain bighorn sheep herds. However, we conclude that a universal sample size rule may not be able to sufficiently address the complexities that impact genomic kinship and inbreeding estimates. Thus, we recommend that a pilot study and sample size simulation using R code we developed that includes empirical genotypes from a subset of populations of interest would be an effective approach to ensure rigour in estimating genomic kinship and population differentiation. Abstract Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of estimates can be influenced by the number of individual genotypes analysed. Biologists are confronted with varied advice regarding the sample size necessary for reliable estimates when using genomic tools. We developed a simulation framework to identify the optimal sample size for three widely used metrics to enable quantification of expected variance and relative bias of estimates and a comparison of results among populations. We applied this approach to analyse empirical genomic data for 30 individuals from each of four different free‐ranging Rocky Mountain bighorn sheep ( Ovis canadensis canadensis ) populations in Montana and Wyoming, USA, through cross‐species application of an Ovine array and analysis of approximately 14,000 single nucleotide polymorphisms (SNPs) after filtering. We examined intra‐ and interpopulation relationships using kinship and identity by state metrics, as well as F ST between populations. By evaluating our simulation results, we concluded that a sample size of 25 was adequate for assessing these metrics using the Ovine array to genotype Rocky Mountain bighorn sheep herds. However, we conclude that a universal sample size rule may not be able to sufficiently address the complexities that impact genomic kinship and inbreeding estimates. Thus, we recommend that a pilot study and sample size simulation using R code we developed that includes empirical genotypes from a subset of populations of interest would be an effective approach to ensure rigour in estimating genomic kinship and population differentiation. Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of estimates can be influenced by the number of individual genotypes analysed. Biologists are confronted with varied advice regarding the sample size necessary for reliable estimates when using genomic tools. We developed a simulation framework to identify the optimal sample size for three widely used metrics to enable quantification of expected variance and relative bias of estimates and a comparison of results among populations. We applied this approach to analyse empirical genomic data for 30 individuals from each of four different free-ranging Rocky Mountain bighorn sheep (Ovis canadensis canadensis) populations in Montana and Wyoming, USA, through cross-species application of an Ovine array and analysis of approximately 14,000 single nucleotide polymorphisms (SNPs) after filtering. We examined intra- and interpopulation relationships using kinship and identity by state metrics, as well as F between populations. By evaluating our simulation results, we concluded that a sample size of 25 was adequate for assessing these metrics using the Ovine array to genotype Rocky Mountain bighorn sheep herds. However, we conclude that a universal sample size rule may not be able to sufficiently address the complexities that impact genomic kinship and inbreeding estimates. Thus, we recommend that a pilot study and sample size simulation using R code we developed that includes empirical genotypes from a subset of populations of interest would be an effective approach to ensure rigour in estimating genomic kinship and population differentiation. |
Author | Graves, Tabitha A. Rotella, Jay J. Garrott, Robert A. Thomson, Jennifer M. Flesch, Elizabeth P. |
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Cites_doi | 10.1016/j.ajhg.2007.10.009 10.1007/s10592-015-0709-1 10.1186/s12864-015-1618-x 10.1111/mec.13613 10.1111/mec.13243 10.1111/1365-2656.12031 10.1111/mec.12560 10.1111/j.0014-3820.2001.tb01326.x 10.1126/science.1094442 10.1111/mec.12741 10.1017/S0016672307009214 10.1038/ng.3034 10.1038/nature10231 10.1111/j.1365-294X.2010.04717.x 10.1002/9780470344880.ch20 10.1111/j.1365-294X.2012.05565.x 10.1534/genetics.106.057331 10.1016/j.biocon.2014.06.014 10.1098/rsbl.2010.1119 10.1016/j.tree.2012.05.012 10.1093/jhered/esi127 10.1111/1755-0998.12323 10.1101/gr.079509.108 10.1016/j.livsci.2012.07.019 10.1046/j.1365-294X.2004.02008.x 10.1098/rstb.2003.1437 10.1371/journal.pone.0036536 10.1534/genetics.112.149096 10.1002/ece3.1541 10.1093/oso/9780198783398.001.0001 10.1093/bioinformatics/btq559 10.1139/z01-103 10.1186/1471-2164-11-524 10.1046/j.1365-294X.2001.01288.x 10.1111/j.1755-0998.2010.02918.x 10.1016/j.livsci.2014.04.020 10.1371/journal.pone.0042649 10.2307/1377561 10.1371/journal.pone.0045170 10.1111/1755-0998.12017 10.2193/2006-002 10.1371/journal.pone.0004668 10.1038/nrg2611 10.1016/S0169-5347(03)00225-8 10.1111/mec.12529 10.1098/rspb.2006.3477 10.1093/molbev/msq148 10.1128/JCM.01931-07 10.1111/j.1365-294X.2008.03675.x 10.1371/journal.pone.0078314 10.1111/j.1523-1739.2010.01549.x 10.1086/519795 10.1038/sj.hdy.6800548 10.1111/j.1755-0998.2010.02885.x 10.1111/j.1365-294X.2005.02656.x 10.1016/j.tree.2006.08.001 10.1046/j.1365-294X.1999.00637.x 10.1371/journal.pone.0079667 10.1111/j.1365-294X.2010.04554.x 10.1073/pnas.0704580104 10.1073/pnas.1518046113 10.1038/sj.hdy.6800485 10.1186/1471-2148-13-125 10.1111/age.12197 10.1111/1755-0998.12654 10.1023/A:1019921131171 10.3201/eid1803.111554 10.1186/1297-9686-45-38 10.1016/j.tree.2009.06.014 |
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References | 2010; 11 2007; 104 2013; 22 2010; 19 2006; 173 2011; 11 2007; 71 2003; 18 2013; 8 2014; 177 2012; 12 2014; 23 2011; 475 1994; 265 2010; 20 2010; 27 2010; 26 2009; 10 2010; 25 1960; 41 2010; 24 2013; 13 2006; 21 2016; 113 2012; 27 2001; 55 2014; 166 2013; 194 2012; 21 2001; 10 2015; 15 2004; 303 2006; 97 2015; 16 2015; 5 2012 2013; 45 2006; 273 2008 2002; 3 2014; 46 1999; 8 2012; 149 2014; 45 2008; 90 2011; 7 2015; 24 2004; 94 2004; 93 2017; 17 2004; 13 2013; 82 2018 2008; 46 2017 2007; 81 2009; 4 2012; 7 2001; 79 2004; 359 2008; 82 2016; 25 2005; 14 e_1_2_8_28_1 e_1_2_8_24_1 e_1_2_8_47_1 e_1_2_8_26_1 e_1_2_8_49_1 e_1_2_8_68_1 Gaughran S. J. (e_1_2_8_19_1) 2017 e_1_2_8_3_1 e_1_2_8_5_1 e_1_2_8_7_1 e_1_2_8_9_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_66_1 e_1_2_8_22_1 e_1_2_8_45_1 e_1_2_8_64_1 Romanov M. N. (e_1_2_8_57_1) 2009; 10 e_1_2_8_62_1 e_1_2_8_41_1 e_1_2_8_60_1 e_1_2_8_17_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_59_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_70_1 e_1_2_8_32_1 R Core Team (e_1_2_8_55_1) 2017 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_53_1 e_1_2_8_76_1 e_1_2_8_51_1 e_1_2_8_74_1 e_1_2_8_30_1 e_1_2_8_72_1 e_1_2_8_29_1 e_1_2_8_25_1 e_1_2_8_46_1 e_1_2_8_27_1 e_1_2_8_48_1 e_1_2_8_2_1 e_1_2_8_4_1 e_1_2_8_6_1 e_1_2_8_8_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_67_1 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_65_1 e_1_2_8_63_1 e_1_2_8_40_1 e_1_2_8_61_1 e_1_2_8_18_1 e_1_2_8_39_1 Thrasher D. J. (e_1_2_8_69_1) 2018 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_58_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_56_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_54_1 e_1_2_8_75_1 e_1_2_8_52_1 e_1_2_8_73_1 e_1_2_8_50_1 e_1_2_8_71_1 |
References_xml | – volume: 13 start-page: 125 year: 2013 article-title: Dispersing away from bad genotypes: The evolution of Fitness‐Associated Dispersal (FAD) in homogeneous environments publication-title: BMC Evolutionary Biology – volume: 20 start-page: 291 issue: 3 year: 2010 end-page: 300 article-title: Population genetic inference from genomic sequence variation publication-title: Genome Research – volume: 7 start-page: 433 issue: 3 year: 2011 end-page: 435 article-title: Does reduced heterozygosity influence dispersal? A test using spatially structured populations in an alpine ungulate publication-title: Biology Letters – volume: 27 start-page: 489 issue: 9 year: 2012 end-page: 496 article-title: Harnessing genomics for delineating conservation units publication-title: Trends in Ecology & Evolution – volume: 19 start-page: 3760 issue: 17 year: 2010 end-page: 3772 article-title: Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field publication-title: Molecular Ecology – start-page: 1 year: 2018 end-page: 13 article-title: Double‐digest RAD sequencing outperforms microsatellite loci at assigning paternity and estimating relatedness: A proof of concept in a highly promiscuous bird publication-title: Molecular Ecology Resources – volume: 265 start-page: 1193 year: 1994 end-page: 1201 article-title: Kin selection, social structure, gene flow, and the evolution of chimpanzees publication-title: Science – year: 2018 – volume: 13 start-page: 55 issue: 1 year: 2004 end-page: 65 article-title: Genetic assignment methods for the direct, real‐time estimation of migration rate: A simulation‐based exploration of accuracy and power publication-title: Molecular Ecology – volume: 10 start-page: 1539 issue: 6 year: 2001 end-page: 1549 article-title: A comparison of microsatellite‐based pairwise relatedness estimators publication-title: Molecular Ecology – volume: 41 start-page: 523 issue: 4 year: 1960 end-page: 525 article-title: Records of bighorn hybrids publication-title: Journal of Mammalogy – volume: 25 start-page: 44 issue: 1 year: 2010 end-page: 52 article-title: Research on inbreeding in the ‘omic’ era publication-title: Trends in Ecology & Evolution – volume: 18 start-page: 503 issue: 10 year: 2003 end-page: 511 article-title: DNA‐based methods for pedigree reconstruction and kinship analysis in natural populations publication-title: Trends in Ecology & Evolution – volume: 359 start-page: 873 issue: 1446 year: 2004 end-page: 890 article-title: Estimating genetic parameters in natural populations using the ‘animal model’ publication-title: Philosophical Transactions of the Royal Society of London B: Biological Sciences – volume: 10 start-page: 639 issue: 9 year: 2009 end-page: 650 article-title: Genetics in geographically structured populations: Defining, estimating and interpreting FST publication-title: Nature Reviews Genetics – volume: 25 start-page: 2997 issue: 13 year: 2016 end-page: 3018 article-title: Comparing RADseq and microsatellites to infer complex phylogeographic patterns, an empirical perspective in the Crucian carp, Carassius carassius publication-title: L. Molecular Ecology – volume: 22 start-page: 6091 issue: 24 year: 2013 end-page: 6099 article-title: Using genomic tools to maintain diversity and fitness in conservation programmes publication-title: Molecular Ecology – volume: 90 start-page: 199 issue: 2 year: 2008 end-page: 208 article-title: Restricting coancestry and inbreeding at a specific position on the genome by using optimized selection publication-title: Genetics Research – volume: 27 start-page: 2534 issue: 11 year: 2010 end-page: 2547 article-title: Ascertainment biases in SNP chips affect measures of population divergence publication-title: Molecular Biology and Evolution – volume: 11 start-page: 314 issue: 2 year: 2011 end-page: 322 article-title: A genome‐wide set of SNPs detects population substructure and long range linkage disequilibrium in wild sheep publication-title: Molecular Ecology Resources – volume: 22 start-page: 5779 issue: 23 year: 2013 end-page: 5792 article-title: Estimating relatedness and inbreeding using molecular markers and pedigrees: The effect of demographic history publication-title: Molecular Ecology – volume: 45 start-page: 754 issue: 5 year: 2014 end-page: 757 article-title: Linkage disequilibrium over short physical distances measured in sheep using a high‐density SNP chip publication-title: Animal Genetics – volume: 194 start-page: 647 issue: 3 year: 2013 end-page: 662 article-title: Estimating variable effective population sizes from multiple genomes: A sequentially Markov conditional sampling distribution approach publication-title: Genetics – volume: 71 start-page: 1080 issue: 4 year: 2007 end-page: 1088 article-title: Dynamics of pneumonia in a bighorn sheep metapopulation publication-title: The Journal of Wildlife Management – volume: 11 start-page: 524 year: 2010 article-title: Genetic linkage map of a wild genome: Genomic structure, recombination and sexual dimorphism in bighorn sheep publication-title: BMC Genomics – volume: 7 start-page: e42649 issue: 8 year: 2012 article-title: Estimates of genetic differentiation measured by FST do not necessarily require large sample sizes when using many SNP markers publication-title: PLoS ONE – volume: 14 start-page: 3209 issue: 10 year: 2005 end-page: 3217 article-title: Genetic resistance to bovine tuberculosis in the Iberian wild boar publication-title: Molecular Ecology – volume: 7 start-page: e45170 issue: 9 year: 2012 article-title: Sampling for microsatellite‐based population genetic studies: 25 to 30 individuals per population is enough to accurately estimate allele frequencies publication-title: PLoS ONE – start-page: 1 year: 2017 end-page: 10 article-title: Theory, practice, and conservation in the age of genomics: The Galápagos giant tortoise as a case study publication-title: Evolutionary Applications – volume: 15 start-page: 557 issue: 3 year: 2015 end-page: 561 article-title: Related: An R package for analysing pairwise relatedness from codominant molecular markers publication-title: Molecular Ecology Resources – volume: 21 start-page: 629 issue: 11 year: 2006 end-page: 637 article-title: Genomics and conservation genetics publication-title: Trends in Ecology & Evolution – volume: 12 start-page: 1145 issue: 6 year: 2012 end-page: 1150 article-title: Consistent divergence times and allele sharing measured from cross‐species application of SNP chips developed for three domestic species publication-title: Molecular Ecology Resources – volume: 21 start-page: 2788 issue: 11 year: 2012 end-page: 2804 article-title: Inbreeding and inbreeding depression of early life traits in a cooperative mammal publication-title: Molecular Ecology – volume: 94 start-page: 33 issue: 1 year: 2004 end-page: 36 article-title: Do polymorphic loci require large sample sizes to estimate genetic distances? publication-title: Heredity – volume: 4 start-page: e4668 issue: 3 year: 2009 article-title: A genome wide survey of SNP variation reveals the genetic structure of sheep breeds publication-title: PLoS ONE – volume: 113 start-page: 3585 issue: 13 year: 2016 end-page: 3590 article-title: Inbreeding depression across the lifespan in a wild mammal population publication-title: Proceedings of the National Academy of Sciences – volume: 17 start-page: 1136 year: 2017 end-page: 1147 article-title: Minimum sample sizes for population genomics: An empirical study from an Amazonian plant species publication-title: Molecular Ecology Resources – volume: 24 start-page: 3223 issue: 13 year: 2015 end-page: 3231 article-title: Seven common mistakes in population genetics and how to avoid them publication-title: Molecular Ecology – volume: 8 start-page: e78314 issue: 10 year: 2013 article-title: Genome‐wide estimates of coancestry and inbreeding in a closed herd of ancient iberian pigs publication-title: PLoS ONE – start-page: 330 year: 2008 end-page: 339 – volume: 45 start-page: 38 year: 2013 article-title: Maintaining genetic diversity using molecular coancestry: The effect of marker density and effective population size publication-title: Genetics Selection Evolution – volume: 19 start-page: 1439 issue: 7 year: 2010 end-page: 1451 article-title: On the use of large marker panels to estimate inbreeding and relatedness: Empirical and simulation studies of a pedigreed zebra finch population typed at 771 SNPs publication-title: Molecular Ecology – volume: 82 start-page: 352 issue: 2 year: 2008 end-page: 365 article-title: A unified association analysis approach for family and unrelated samples correcting for stratification publication-title: The American Journal of Human Genetics – volume: 23 start-page: 2383 issue: 10 year: 2014 end-page: 2401 article-title: An overview of the utility of population simulation software in molecular ecology publication-title: Molecular Ecology – volume: 7 start-page: e36536 issue: 5 year: 2012 article-title: Identification of novel single nucleotide polymorphisms (SNPs) in deer (Odocoileus spp.) using the BovineSNP50 BeadChip publication-title: PLoS ONE – volume: 3 start-page: 309 issue: 3 year: 2002 end-page: 320 article-title: Estimation of coancestry in Iberian pigs using molecular markers publication-title: Conservation Genetics – volume: 24 start-page: 1617 issue: 6 year: 2010 end-page: 1625 article-title: Inbreeding depression accumulation across life‐history stages of the endangered takahe publication-title: Conservation Biology – volume: 303 start-page: 790 issue: 5659 year: 2004 end-page: 793 article-title: Uses and abuses of mathematics in biology publication-title: Science – volume: 5 start-page: 3140 issue: 15 year: 2015 end-page: 3150 article-title: The use and abuse of genetic marker‐based estimates of relatedness and inbreeding publication-title: Ecology and Evolution – volume: 149 start-page: 282 issue: 3 year: 2012 end-page: 288 article-title: Use of different sources of information for the recovery and genetic management of endangered populations: Example with the extreme case of Iberian pig Dorado strain publication-title: Livestock Science – volume: 475 start-page: 493 issue: 7357 year: 2011 end-page: 496 article-title: Inference of human population history from individual whole‐genome sequences publication-title: Nature – volume: 8 start-page: 831 issue: 5 year: 1999 end-page: 841 article-title: Pollen dispersal inferred from paternity analysis in a mixed oak stand of Quercus robur L. and Q. petraea(Matt.) Liebl publication-title: Molecular Ecology – year: 2012 – volume: 177 start-page: 90 year: 2014 end-page: 99 article-title: Optimal sampling of seeds from plant populations for ex‐situ conservation of genetic biodiversity, considering realistic population structure publication-title: Biological Conservation – volume: 26 start-page: 2867 issue: 22 year: 2010 end-page: 2873 article-title: Robust relationship inference in genome‐wide association studies publication-title: Bioinformatics – volume: 55 start-page: 2116 issue: 10 year: 2001 end-page: 2125 article-title: Positive genetic correlation between parasite resistance and body size in a free‐living ungulate population publication-title: Evolution – volume: 16 start-page: 397 issue: 1 year: 2015 article-title: Harnessing cross‐species alignment to discover SNPs and generate a draft genome sequence of a bighorn sheep (Ovis canadensis) publication-title: BMC Genomics – volume: 97 start-page: 21 issue: 1 year: 2006 end-page: 30 article-title: Phylogenetic analysis of snow sheep (Ovis nivicola) and closely related taxa publication-title: Journal of Heredity – volume: 82 start-page: 518 issue: 3 year: 2013 end-page: 528 article-title: Spatio‐temporal dynamics of pneumonia in bighorn sheep publication-title: Journal of Animal Ecology – volume: 46 start-page: 858 issue: 8 year: 2014 end-page: 865 article-title: Whole‐genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle publication-title: Nature Genetics – volume: 273 start-page: 1491 issue: 1593 year: 2006 end-page: 1499 article-title: Genetic rescue of an insular population of large mammals publication-title: Proceedings of the Royal Society B: Biological Sciences – volume: 81 start-page: 559 issue: 3 year: 2007 end-page: 575 article-title: PLINK: A tool set for whole‐genome association and population‐based linkage analyses publication-title: The American Journal of Human Genetics – volume: 93 start-page: 255 issue: 3 year: 2004 end-page: 265 article-title: Understanding the relationship between the inbreeding coefficient and multilocus heterozygosity: Theoretical expectations and empirical data publication-title: Heredity – volume: 11 start-page: 141 issue: 1 year: 2011 end-page: 145 article-title: Coancestry: A program for simulating, estimating and analysing relatedness and inbreeding coefficients publication-title: Molecular Ecology Resources – volume: 46 start-page: 423 issue: 2 year: 2008 end-page: 430 article-title: Association of Mycoplasma ovipneumoniae infection with population‐limiting respiratory disease in free‐ranging Rocky Mountain bighorn sheep (Ovis canadensis canadensis) publication-title: Journal of Clinical Microbiology – volume: 104 start-page: 16221 issue: 41 year: 2007 end-page: 16226 article-title: Transmission of a fatal clonal tumor by biting occurs due to depleted MHC diversity in a threatened carnivorous marsupial publication-title: Proceedings of the National Academy of Sciences – volume: 16 start-page: 901 issue: 4 year: 2015 end-page: 913 article-title: Valid estimates of individual inbreeding coefficients from marker‐based pedigrees are not feasible in wild populations with low allelic diversity publication-title: Conservation Genetics – volume: 10 start-page: 1 issue: 2 year: 2009 end-page: 19 article-title: The value of avian genomics to the conservation of wildlife publication-title: BMC Genomics – year: 2017 – volume: 79 start-page: 1423 issue: 8 year: 2001 end-page: 1432 article-title: Ecological correlates of pneumonia epizootics in bighorn sheep herds publication-title: Canadian Journal of Zoology – volume: 173 start-page: 2091 issue: 4 year: 2006 end-page: 2101 article-title: Performance of marker‐based relatedness estimators in natural populations of outbred vertebrates publication-title: Genetics – volume: 8 start-page: e79667 issue: 11 year: 2013 article-title: Assessing the effect of sequencing depth and sample size in population genetics inferences publication-title: PLoS ONE – volume: 166 start-page: 48 year: 2014 end-page: 53 article-title: Genomics applied to management strategies in conservation programmes publication-title: Livestock Science – ident: e_1_2_8_76_1 doi: 10.1016/j.ajhg.2007.10.009 – ident: e_1_2_8_68_1 doi: 10.1007/s10592-015-0709-1 – ident: e_1_2_8_44_1 doi: 10.1186/s12864-015-1618-x – ident: e_1_2_8_30_1 doi: 10.1111/mec.13613 – ident: e_1_2_8_41_1 doi: 10.1111/mec.13243 – ident: e_1_2_8_8_1 doi: 10.1111/1365-2656.12031 – ident: e_1_2_8_13_1 doi: 10.1111/mec.12560 – ident: e_1_2_8_10_1 doi: 10.1111/j.0014-3820.2001.tb01326.x – ident: e_1_2_8_40_1 doi: 10.1126/science.1094442 – start-page: 1 year: 2017 ident: e_1_2_8_19_1 article-title: Theory, practice, and conservation in the age of genomics: The Galápagos giant tortoise as a case study publication-title: Evolutionary Applications contributor: fullname: Gaughran S. J. – ident: e_1_2_8_25_1 doi: 10.1111/mec.12741 – ident: e_1_2_8_58_1 doi: 10.1017/S0016672307009214 – ident: e_1_2_8_12_1 doi: 10.1038/ng.3034 – ident: e_1_2_8_37_1 doi: 10.1038/nature10231 – ident: e_1_2_8_38_1 doi: 10.1111/j.1365-294X.2010.04717.x – ident: e_1_2_8_42_1 doi: 10.1002/9780470344880.ch20 – volume: 10 start-page: 1 issue: 2 year: 2009 ident: e_1_2_8_57_1 article-title: The value of avian genomics to the conservation of wildlife publication-title: BMC Genomics contributor: fullname: Romanov M. N. – ident: e_1_2_8_49_1 doi: 10.1111/j.1365-294X.2012.05565.x – ident: e_1_2_8_11_1 doi: 10.1534/genetics.106.057331 – ident: e_1_2_8_26_1 doi: 10.1016/j.biocon.2014.06.014 – ident: e_1_2_8_61_1 doi: 10.1098/rsbl.2010.1119 – ident: e_1_2_8_18_1 doi: 10.1016/j.tree.2012.05.012 – ident: e_1_2_8_7_1 doi: 10.1093/jhered/esi127 – ident: e_1_2_8_51_1 doi: 10.1111/1755-0998.12323 – ident: e_1_2_8_53_1 doi: 10.1101/gr.079509.108 – ident: e_1_2_8_14_1 doi: 10.1016/j.livsci.2012.07.019 – ident: e_1_2_8_50_1 doi: 10.1046/j.1365-294X.2004.02008.x – ident: e_1_2_8_36_1 doi: 10.1098/rstb.2003.1437 – ident: e_1_2_8_24_1 doi: 10.1371/journal.pone.0036536 – ident: e_1_2_8_15_1 – ident: e_1_2_8_62_1 doi: 10.1534/genetics.112.149096 – ident: e_1_2_8_67_1 doi: 10.1002/ece3.1541 – ident: e_1_2_8_16_1 doi: 10.1093/oso/9780198783398.001.0001 – ident: e_1_2_8_39_1 doi: 10.1093/bioinformatics/btq559 – ident: e_1_2_8_46_1 doi: 10.1139/z01-103 – ident: e_1_2_8_52_1 doi: 10.1186/1471-2164-11-524 – ident: e_1_2_8_72_1 doi: 10.1046/j.1365-294X.2001.01288.x – ident: e_1_2_8_45_1 doi: 10.1111/j.1755-0998.2010.02918.x – ident: e_1_2_8_71_1 doi: 10.1016/j.livsci.2014.04.020 – ident: e_1_2_8_74_1 doi: 10.1371/journal.pone.0042649 – ident: e_1_2_8_75_1 doi: 10.2307/1377561 – ident: e_1_2_8_23_1 doi: 10.1371/journal.pone.0045170 – ident: e_1_2_8_43_1 doi: 10.1111/1755-0998.12017 – ident: e_1_2_8_65_1 – ident: e_1_2_8_9_1 doi: 10.2193/2006-002 – ident: e_1_2_8_33_1 doi: 10.1371/journal.pone.0004668 – ident: e_1_2_8_28_1 doi: 10.1038/nrg2611 – ident: e_1_2_8_6_1 doi: 10.1016/S0169-5347(03)00225-8 – ident: e_1_2_8_56_1 doi: 10.1111/mec.12529 – ident: e_1_2_8_27_1 doi: 10.1098/rspb.2006.3477 – ident: e_1_2_8_3_1 doi: 10.1093/molbev/msq148 – ident: e_1_2_8_4_1 doi: 10.1128/JCM.01931-07 – ident: e_1_2_8_47_1 doi: 10.1111/j.1365-294X.2008.03675.x – ident: e_1_2_8_60_1 doi: 10.1371/journal.pone.0078314 – ident: e_1_2_8_21_1 doi: 10.1111/j.1523-1739.2010.01549.x – ident: e_1_2_8_54_1 doi: 10.1086/519795 – ident: e_1_2_8_31_1 doi: 10.1038/sj.hdy.6800548 – ident: e_1_2_8_73_1 doi: 10.1111/j.1755-0998.2010.02885.x – ident: e_1_2_8_2_1 doi: 10.1111/j.1365-294X.2005.02656.x – ident: e_1_2_8_34_1 doi: 10.1016/j.tree.2006.08.001 – volume-title: R: A language and environment for statistical computing year: 2017 ident: e_1_2_8_55_1 contributor: fullname: R Core Team – ident: e_1_2_8_66_1 doi: 10.1046/j.1365-294X.1999.00637.x – ident: e_1_2_8_17_1 doi: 10.1371/journal.pone.0079667 – ident: e_1_2_8_59_1 doi: 10.1111/j.1365-294X.2010.04554.x – ident: e_1_2_8_63_1 doi: 10.1073/pnas.0704580104 – ident: e_1_2_8_29_1 doi: 10.1073/pnas.1518046113 – ident: e_1_2_8_64_1 doi: 10.1038/sj.hdy.6800485 – ident: e_1_2_8_22_1 doi: 10.1186/1471-2148-13-125 – ident: e_1_2_8_32_1 doi: 10.1111/age.12197 – ident: e_1_2_8_48_1 doi: 10.1111/1755-0998.12654 – ident: e_1_2_8_70_1 doi: 10.1023/A:1019921131171 – start-page: 1 year: 2018 ident: e_1_2_8_69_1 article-title: Double‐digest RAD sequencing outperforms microsatellite loci at assigning paternity and estimating relatedness: A proof of concept in a highly promiscuous bird publication-title: Molecular Ecology Resources contributor: fullname: Thrasher D. J. – ident: e_1_2_8_5_1 doi: 10.3201/eid1803.111554 – ident: e_1_2_8_20_1 doi: 10.1186/1297-9686-45-38 – ident: e_1_2_8_35_1 doi: 10.1016/j.tree.2009.06.014 |
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Snippet | Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and precision of... Abstract Inbreeding and relationship metrics among and within populations are useful measures for genetic management of wild populations, but accuracy and... |
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SubjectTerms | Data processing Empirical analysis Estimates Filtration Genomics Genotypes Inbreeding kinship Ovis canadensis Ovis canadensis canadensis Population differentiation Population genetics Populations sampling Sheep Simulation Single-nucleotide polymorphism |
Title | Evaluating sample size to estimate genetic management metrics in the genomics era |
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