Determination of relatedness between individuals using DNA fingerprinting.

R. Chakraborty, L. Jin

Research output: Contribution to journalArticle

119 Citations (Scopus)

Abstract

Relatedness between individuals is an important element of genetic-epidemiological and evolutionary investigations in the context of anthropological research. In general, data on relationships between individuals are gathered from personal interviews or from examination of vital records. When blood samples are collected, such information can be validated from genotypic similarities of individuals. Although genotype data may offer opportunities to exclude certain types of relationships, inclusionary statements are necessarily only probabilistic in nature. The limitations of such probabilistic statements depend on the number of segregating alleles and the extent of polymorphisms at the loci employed. With the advent of DNA technology, several hypervariable single-locus probes (SLPs) and multilocus probes (MLPs) are now available for many organisms. These can be used to circumvent limitations of unequivocal assignment of relationships from genotype data. In this article we describe analytical principles for such investigations. In particular, we propose summary measures of DNA fingerprinting data (e.g., number of different alleles and number of shared alleles) that can be used to describe kinship relationships between individuals. We derive the expected distributions of number of alleles in individuals and of number of shared alleles between individuals of known relationships in a population. These distributions can be used in hypothesis testing to determine relatedness between individuals. We also derive the number of SLPs, each detecting a hypervariable polymorphism, needed to determine a specified relationship for given ranges of errors of prediction. Illustrations of the theory with data on several short tandem repeat loci and variable number of tandem repeat (VNTR) loci indicate that with 6 to 12 SLPs the parent-offspring pairs can be reliably distinguished from random pairs of individuals. This theory also serves the purpose of detecting inbreeding levels in a natural population.

Original languageEnglish
Pages (from-to)875-895
Number of pages21
JournalHuman Biology
Volume65
Issue number6
StatePublished - 1 Dec 1993

Fingerprint

DNA fingerprinting
DNA Fingerprinting
relatedness
allele
Alleles
loci
probe
alleles
polymorphism
genotype
Genotype
Minisatellite Repeats
genetic polymorphism
Anthropology
Inbreeding
kinship
hypothesis testing
inbreeding
minisatellite repeats
Microsatellite Repeats

Cite this

Chakraborty, R. ; Jin, L. / Determination of relatedness between individuals using DNA fingerprinting. In: Human Biology. 1993 ; Vol. 65, No. 6. pp. 875-895.
@article{98e1f122311f47129c8435b06b80f3c0,
title = "Determination of relatedness between individuals using DNA fingerprinting.",
abstract = "Relatedness between individuals is an important element of genetic-epidemiological and evolutionary investigations in the context of anthropological research. In general, data on relationships between individuals are gathered from personal interviews or from examination of vital records. When blood samples are collected, such information can be validated from genotypic similarities of individuals. Although genotype data may offer opportunities to exclude certain types of relationships, inclusionary statements are necessarily only probabilistic in nature. The limitations of such probabilistic statements depend on the number of segregating alleles and the extent of polymorphisms at the loci employed. With the advent of DNA technology, several hypervariable single-locus probes (SLPs) and multilocus probes (MLPs) are now available for many organisms. These can be used to circumvent limitations of unequivocal assignment of relationships from genotype data. In this article we describe analytical principles for such investigations. In particular, we propose summary measures of DNA fingerprinting data (e.g., number of different alleles and number of shared alleles) that can be used to describe kinship relationships between individuals. We derive the expected distributions of number of alleles in individuals and of number of shared alleles between individuals of known relationships in a population. These distributions can be used in hypothesis testing to determine relatedness between individuals. We also derive the number of SLPs, each detecting a hypervariable polymorphism, needed to determine a specified relationship for given ranges of errors of prediction. Illustrations of the theory with data on several short tandem repeat loci and variable number of tandem repeat (VNTR) loci indicate that with 6 to 12 SLPs the parent-offspring pairs can be reliably distinguished from random pairs of individuals. This theory also serves the purpose of detecting inbreeding levels in a natural population.",
author = "R. Chakraborty and L. Jin",
year = "1993",
month = "12",
day = "1",
language = "English",
volume = "65",
pages = "875--895",
journal = "Human Biology",
issn = "0018-7143",
publisher = "Wayne State University Press",
number = "6",

}

Chakraborty, R & Jin, L 1993, 'Determination of relatedness between individuals using DNA fingerprinting.', Human Biology, vol. 65, no. 6, pp. 875-895.

Determination of relatedness between individuals using DNA fingerprinting. / Chakraborty, R.; Jin, L.

In: Human Biology, Vol. 65, No. 6, 01.12.1993, p. 875-895.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Determination of relatedness between individuals using DNA fingerprinting.

AU - Chakraborty, R.

AU - Jin, L.

PY - 1993/12/1

Y1 - 1993/12/1

N2 - Relatedness between individuals is an important element of genetic-epidemiological and evolutionary investigations in the context of anthropological research. In general, data on relationships between individuals are gathered from personal interviews or from examination of vital records. When blood samples are collected, such information can be validated from genotypic similarities of individuals. Although genotype data may offer opportunities to exclude certain types of relationships, inclusionary statements are necessarily only probabilistic in nature. The limitations of such probabilistic statements depend on the number of segregating alleles and the extent of polymorphisms at the loci employed. With the advent of DNA technology, several hypervariable single-locus probes (SLPs) and multilocus probes (MLPs) are now available for many organisms. These can be used to circumvent limitations of unequivocal assignment of relationships from genotype data. In this article we describe analytical principles for such investigations. In particular, we propose summary measures of DNA fingerprinting data (e.g., number of different alleles and number of shared alleles) that can be used to describe kinship relationships between individuals. We derive the expected distributions of number of alleles in individuals and of number of shared alleles between individuals of known relationships in a population. These distributions can be used in hypothesis testing to determine relatedness between individuals. We also derive the number of SLPs, each detecting a hypervariable polymorphism, needed to determine a specified relationship for given ranges of errors of prediction. Illustrations of the theory with data on several short tandem repeat loci and variable number of tandem repeat (VNTR) loci indicate that with 6 to 12 SLPs the parent-offspring pairs can be reliably distinguished from random pairs of individuals. This theory also serves the purpose of detecting inbreeding levels in a natural population.

AB - Relatedness between individuals is an important element of genetic-epidemiological and evolutionary investigations in the context of anthropological research. In general, data on relationships between individuals are gathered from personal interviews or from examination of vital records. When blood samples are collected, such information can be validated from genotypic similarities of individuals. Although genotype data may offer opportunities to exclude certain types of relationships, inclusionary statements are necessarily only probabilistic in nature. The limitations of such probabilistic statements depend on the number of segregating alleles and the extent of polymorphisms at the loci employed. With the advent of DNA technology, several hypervariable single-locus probes (SLPs) and multilocus probes (MLPs) are now available for many organisms. These can be used to circumvent limitations of unequivocal assignment of relationships from genotype data. In this article we describe analytical principles for such investigations. In particular, we propose summary measures of DNA fingerprinting data (e.g., number of different alleles and number of shared alleles) that can be used to describe kinship relationships between individuals. We derive the expected distributions of number of alleles in individuals and of number of shared alleles between individuals of known relationships in a population. These distributions can be used in hypothesis testing to determine relatedness between individuals. We also derive the number of SLPs, each detecting a hypervariable polymorphism, needed to determine a specified relationship for given ranges of errors of prediction. Illustrations of the theory with data on several short tandem repeat loci and variable number of tandem repeat (VNTR) loci indicate that with 6 to 12 SLPs the parent-offspring pairs can be reliably distinguished from random pairs of individuals. This theory also serves the purpose of detecting inbreeding levels in a natural population.

UR - http://www.scopus.com/inward/record.url?scp=0027754697&partnerID=8YFLogxK

M3 - Article

C2 - 8300084

AN - SCOPUS:0027754697

VL - 65

SP - 875

EP - 895

JO - Human Biology

JF - Human Biology

SN - 0018-7143

IS - 6

ER -