The application of mitochondrial DNA typing to the study of white Caucasian genetic identification

Piercy, Romelle; Sullivan, Kevin M.; Benson, Nicola; Gill, Peter

doi:10.1007/bf01225046

Cited by 205 publications

(146 citation statements)

References 26 publications

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“…Data (361 bp HVS-I data; sites 16 024 -16 385) were obtained for the following populations: Sweden (N ¼ 296, kindly provided by A. Karlsson), Norway (N ¼ 74), 24 Estonia (N ¼ 48), 25 France (N ¼ 50), 26 Russia (N ¼ 174), 27,28 Germany (N ¼ 200), 29 Italy (N ¼ 49), 30 Austria (N ¼ 101) 31 and England (N ¼ 100). 32 …”

Section: Samples and Laboratory Methodsmentioning

confidence: 99%

Genetic markers and population history: Finland revisited

et al. 2009

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The Finnish population in Northern Europe has been a target of extensive genetic studies during the last decades. The population is considered as a homogeneous isolate, well suited for gene mapping studies because of its reduced diversity and homogeneity. However, several studies have shown substantial differences between the eastern and western parts of the country, especially in the male-mediated Y chromosome. This divergence is evident in non-neutral genetic variation also and it is usually explained to stem from founder effects occurring in the settlement of eastern Finland as late as in the 16th century. Here, we have reassessed this population historical scenario using Y-chromosomal, mitochondrial and autosomal markers and geographical sampling covering entire Finland. The obtained results suggest substantial Scandinavian gene flow into south-western, but not into the eastern, Finland. Male-biased Scandinavian gene flow into the south-western parts of the country would plausibly explain the large interregional differences observed in the Y-chromosome, and the relative homogeneity in the mitochondrial and autosomal data. On the basis of these results, we suggest that the expression of 'Finnish Disease Heritage' illnesses, more common in the eastern/north-eastern Finland, stems from long-term drift, rather than from relatively recent founder effects.

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Section: Samples and Laboratory Methodsmentioning

confidence: 99%

Genetic markers and population history: Finland revisited

et al. 2009

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“…Mitochondrial DNA HV1 sequences from 106 Basques Co ª rte-Real et al 1996), 101 Britons (Piercy et al 1993) Richards et al 1996), 96 Turks Comas et al 1996;Richards et al 1996), 45 Israeli Drusi (Macaulay et al 1999), 29 Kurds (Comas et al 2000) and 98 Indians (Mountain et al 1995) were used for some analyses for comparison with the Caucasus sequences. Other European and central Asian populations were also included in the preliminary analyses, but did not alter any conclusions based on the above populations only.…”

Section: (C) Statistical Analysismentioning

confidence: 99%

Mitochondrial DNA variation and language replacements in the Caucasus

Nasidze

Stoneking

2001

Proc. R. Soc. Lond. B

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Sequences of the ¢rst hypervariable segment of the mitochondrial DNA (mtDNA) control region were obtained from 353 individuals representing nine groups and four major linguistic families (IndoEuropean, Altaic and North and South Caucasian) of the Caucasus region. The diversity within and between Caucasus populations exceeded the diversity within Europe, but was less than that in the Near East. Caucasus populations occupy an intermediate position between European and Near Eastern populations in tree and principal coordinate analyses, suggesting that they are either ancestral to European populations or derived via admixture from European and Near Eastern populations. The genetic relationships among Caucasus populations re£ect geographical rather than linguistic relationships. In particular, the Indo-European-speaking Armenians and Altaic-speaking Azerbaijanians are most closely related to their nearest geographical neighbours in the Caucasus, not their linguistic neighbours (i.e. other Indo-European or Altaic populations). The mtDNA evidence thus suggests that the Armenian and Azerbaijanian languages represent instances of language replacement that had little impact on the mtDNA gene pool.

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“…The likelihood ratio (LR) is defined as follows: LR = P(E|R)/P(E|R'), where the numerator P(E|R) is the probability that the hair sample belonged to MarieAntoinette (no mutation) and the denominator P(E|R') is the probability that the hair sample belonged to a random individual. The numerator can be evaluated in a manner analogous to Gill et al 2 -e -gm , where g = 2 generational events between the two sisters and Marie-Antoinette, and m = 1/33, the estimated mutation rate of the mtDNA sequence of the D-loop region according to Parsons et al 18 The denominator [P(E|R')] is simply the number of times an identical sequence is obtained in a pairwise database comparison of 100 British Caucasians 19 and 119 Belgian individuals (unpublished results) which resulted in 52 identical sequences in 11 900 comparisons.…”

Section: Statistical Evaluationmentioning

confidence: 99%