Literature DB >> 3578499

Genetic structure of the Utah Mormons: isonymy analysis.

L B Jorde, K Morgan.   

Abstract

Isonymy analysis is reported for a sample of 188,895 marriages extracted from the Utah Genealogical Database. Inbreeding rates estimated by isonymy are low, ranging from 0.005 for the earliest marriage cohort (1800-1809) to 0.0008 in the most recent cohort (1950-1959). The inbreeding values decrease considerably through time, but they are consistently higher than inbreeding values estimated from pedigrees. Several explanations are offered for this, including polyphyletism of surnames and the presence of Scandinavian patronyms in this population. Random isonymy between subdivisions is also compared with random kinship estimated from migration matrices. In terms of within-subdivision kinship, the two approaches yield similar results. However, the results are quite dissimilar for between-subdivision kinship. This reflects the recent and nonrandom settlement of Utah by different ethnic groups with different surname distributions. In later time periods, the correlations between the two types of kinship estimates increase, showing that migration patterns (which are strongly determined by geographic distance) exert an increasing influence on the distribution of surnames. Logistic regression is performed on a subset of marriages (n = 88,202), using isonymous vs. nonisonymous marriage as the dependent variable. The independent variables are year of marriage, geographic distance between husband's and wife's birthplaces, endogamous vs. exogamous marriage, and population sizes of husband's and wife's birthplaces. Year of marriage and geographic distance are shown to be significant independent predictors of isonymous marriage.

Mesh:

Year:  1987        PMID: 3578499     DOI: 10.1002/ajpa.1330720313

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  7 in total

1.  Population-based analysis of Alzheimer's disease risk alleles implicates genetic interactions.

Authors:  Mark T W Ebbert; Perry G Ridge; Andrew R Wilson; Aaron R Sharp; Matthew Bailey; Maria C Norton; JoAnn T Tschanz; Ronald G Munger; Christopher D Corcoran; John S K Kauwe
Journal:  Biol Psychiatry       Date:  2013-08-13       Impact factor: 13.382

2.  Sex Differences in Risk for Alzheimer's Disease Related to Neurotrophin Gene Polymorphisms: The Cache County Memory Study.

Authors:  Joshua Matyi; JoAnn T Tschanz; Gail B Rattinger; Chelsea Sanders; Elizabeth K Vernon; Chris Corcoran; John S K Kauwe; Mona Buhusi
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-11-09       Impact factor: 6.053

3.  Evidence for a heritable contribution to neuroendocrine tumors of the small intestine.

Authors:  Deborah W Neklason; James VanDerslice; Karen Curtin; Lisa A Cannon-Albright
Journal:  Endocr Relat Cancer       Date:  2015-11-24       Impact factor: 5.678

4.  Mitochondrial genomic analysis of late onset Alzheimer's disease reveals protective haplogroups H6A1A/H6A1B: the Cache County Study on Memory in Aging.

Authors:  Perry G Ridge; Taylor J Maxwell; Christopher D Corcoran; Maria C Norton; Joann T Tschanz; Elizabeth O'Brien; Richard A Kerber; Richard M Cawthon; Ronald G Munger; John S K Kauwe
Journal:  PLoS One       Date:  2012-09-17       Impact factor: 3.240

5.  Interaction Between Physical Activity and Genes Related to Neurotrophin Signaling in Late-Life Cognitive Performance: The Cache County Study.

Authors:  Chelsea L Sanders; Gail B Rattinger; M Scott Deberard; Alexandra G Hammond; Heidi Wengreen; John S K Kauwe; Mona Buhusi; Joann T Tschanz
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

6.  Mitochondrial genomic variation associated with higher mitochondrial copy number: the Cache County Study on Memory Health and Aging.

Authors:  Perry G Ridge; Taylor J Maxwell; Spencer J Foutz; Matthew H Bailey; Christopher D Corcoran; JoAnn T Tschanz; Maria C Norton; Ronald G Munger; Elizabeth O'Brien; Richard A Kerber; Richard M Cawthon; John S K Kauwe
Journal:  BMC Bioinformatics       Date:  2014-05-28       Impact factor: 3.169

7.  Familial aggregation of Parkinson disease in Utah: A population-based analysis using death certificates.

Authors:  Rodolfo Savica; Lisa A Cannon-Albright; Stefan Pulst
Journal:  Neurol Genet       Date:  2016-03-22
  7 in total

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