Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Ctra, de La Coruña km 7, 28040, Madrid, Spain.
J Anim Sci Biotechnol. 2013 Aug 6;4(1):30. doi: 10.1186/2049-1891-4-30.
A novel method for haplotype phasing in families after joint estimation of recombination fraction and linkage disequilibrium is developed. Results from Monte Carlo computer simulations show that the newly developed E.M. algorithm is accurate if true recombination fraction is 0 even for single families of relatively small sizes. Estimates of recombination fraction and linkage disequilibrium were 0.00 (SD 0.00) and 0.19 (SD 0.03) for simulated recombination fraction and linkage disequilibrium of 0.00 and 0.20, respectively. A genome fragmentation phasing strategy was developed and used for phasing haplotypes in a sire and 36 progeny using the 50 k Illumina BeadChip by: a) estimation of the recombination fraction and LD in consecutive SNPs using family information, b) linkage analyses between fragments, c) phasing of haplotypes in parents and progeny and in following generations. Homozygous SNPs in progeny allowed determination of paternal fragment inheritance, and deduction of SNP sequence information of haplotypes from dams. The strategy also allowed detection of genotyping errors. A total of 613 recombination events were detected after linkage analysis was carried out between fragments. Hot and cold spots were identified at the individual (sire level). SNPs for which the sire and calf were heterozygotes became informative (over 90%) after the phasing of haplotypes. Average of regions of identity between half-sibs when comparing its maternal inherited haplotypes (with at least 20 SNP) in common was 0.11 with a maximum of 0.29 and a minimum of 0.05. A Monte-Carlo simulation of BTA1 with the same linkage disequilibrium structure and genetic linkage as the cattle family yielded a 99.98 and 99.94% of correct phases for informative SNPs in sire and calves, respectively.
提出了一种在联合估计重组分数和连锁不平衡后对家族进行单体型相位分析的新方法。蒙特卡罗计算机模拟的结果表明,即使对于相对较小的单个家族,新开发的 E.M.算法在真实重组分数为 0 时也是准确的。模拟的重组分数和连锁不平衡的估计值分别为 0.00(SD 0.00)和 0.19(SD 0.03),而模拟的重组分数和连锁不平衡分别为 0.00 和 0.20。开发了一种基因组片段相位策略,并使用 50 k Illumina BeadChip 通过以下方式对一个父本和 36 个后代的单体型进行相位分析:a)使用家族信息连续 SNP 的重组分数和 LD 的估计,b)片段之间的连锁分析,c)父本和后代以及后续世代中单体型的相位。后代中的纯合 SNP 允许确定父本片段的遗传,并且可以从母本中推断出单体型的 SNP 序列信息。该策略还允许检测基因分型错误。在片段之间进行连锁分析后,共检测到 613 个重组事件。在个体(父本水平)上确定了热点和冷点。当比较其母系遗传单体型(至少有 20 个 SNP)时,半同胞之间的同一性区域的平均值为 0.11,最大值为 0.29,最小值为 0.05。在与牛家族具有相同连锁不平衡结构和遗传连锁的 BTA1 上进行的蒙特卡罗模拟,在父本和小牛中,信息 SNP 的正确相位分别为 99.98%和 99.94%。