INBREEDING IN THE UTAH MORMONS - AN EVALUATION OF ESTIMATES BASED ON PEDIGREES, ISONYMY, AND MIGRATION MATRICES
INBREEDING IN THE UTAH MORMONS - AN EVALUATION OF ESTIMATES BASED ON PEDIGREES, ISONYMY, AND MIGRATION MATRICES
复制标题
DOI：
10.1111/j.1469-1809.1989.tb01803.x
复制
发表时间：
1989-10-01
影响因子：
1.9
通讯作者：
JORDE, LB
中科院分区：
文献类型：
--
作者：
JORDE, LB
使用计算机化的系谱数据库，近交系数计算样本的435777犹他州摩门教徒。人口被分为10个十年出生队列（1846-1945）和22个地理分区，以评估近亲繁殖的时间和空间变化。该群体的平均近交系数为0.000106。平均组内随机亲缘系数为0.000 312，反映了血缘回避。通过估计每个空间细分内和所有对细分之间的平均亲属关系，形成随机亲属关系矩阵。这些矩阵进行了统计比较与亲属矩阵先前估计使用迁移矩阵和同名数据。同名的方法一贯高估随机和总近亲繁殖以及赖特的Fst。这主要归因于姓氏起源单系的假设。迁移矩阵法低估了随机近交和Fst。这主要是由于假设外来移民来自遗传上同质的人口。虽然每种方法估计的亲属关系系数的绝对值相差很大，但每种方法给出的组间亲属关系系数的模式是高度一致的。对85235对婚姻的Logistic和线性回归分析表明，结婚年份、夫妻出生地的地理距离和夫妻出生地的人口规模对血缘关系有显著影响。
Using a computerized genealogical database, inbreeding coefficients were calculated for a sample of 435777 Utah Mormons. The population was divided into ten ten‐year birth cohorts (1846–1945) and 22 geographic subdivisions in order to assess temporal and spatial variation in inbreeding. The average inbreeding coefficient for this population is 0.000 106. The average within‐groups random kinship coefficient is 0.000 312, reflecting consanguinity avoidance. Random kinship matrices were formed by estimating the average kinship within each spatial subdivision and between all pairs of subdivisions. These matrices were compared statistically with kinship matrices previously estimated using migration matrices and isonymy data. The isonymy approach consistently overestimates random and total inbreeding as well as Wright's Fst. This can be attributed primarily to the assumption of monophyletic origin of surnames. The migration matrix method underestimates random inbreeding and Fst. This is due mainly to the assumption that outside immigrants are derived from a genetically homogeneous population. While the absolute values of the kinship coefficients estimated by each method differ substantially, the patterns of between‐groups kinship coefficients given by each method are highly congruent. Logistic and linear regression analyses of 85 235 marriages demonstrate that consanguinity is significantly dependent upon year of marriage, geographic distance between husband's and wife's birthplaces, and the population size of husband's and wife's birthplaces.