Natural selection and the distribution of identity-by-descent in the human genome

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Natural selection and the distribution of identity-by-descent in the human genome. / Albrechtsen, Anders; Moltke, Ida; Nielsen, Rasmus.

In: Genetics, Vol. 186, No. 1, 2010, p. 295-308.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Albrechtsen, A, Moltke, I & Nielsen, R 2010, 'Natural selection and the distribution of identity-by-descent in the human genome', Genetics, vol. 186, no. 1, pp. 295-308. https://doi.org/10.1534/genetics.110.113977

APA

Albrechtsen, A., Moltke, I., & Nielsen, R. (2010). Natural selection and the distribution of identity-by-descent in the human genome. Genetics, 186(1), 295-308. https://doi.org/10.1534/genetics.110.113977

Vancouver

Albrechtsen A, Moltke I, Nielsen R. Natural selection and the distribution of identity-by-descent in the human genome. Genetics. 2010;186(1):295-308. https://doi.org/10.1534/genetics.110.113977

Author

Albrechtsen, Anders ; Moltke, Ida ; Nielsen, Rasmus. / Natural selection and the distribution of identity-by-descent in the human genome. In: Genetics. 2010 ; Vol. 186, No. 1. pp. 295-308.

Bibtex

@article{b08e48e6b3c54b8a84d520094c99680a,
title = "Natural selection and the distribution of identity-by-descent in the human genome",
abstract = "There has recently been considerable interest in detecting natural selection in the human genome. Selection will usually tend to increase identity-by-descent (IBD) among individuals in a population, and many methods for detecting recent and ongoing positive selection indirectly take advantage of this. In this article we show that excess IBD sharing is a general property of natural selection and we show that this fact makes it possible to detect several types of selection including a type that is otherwise difficult to detect: selection acting on standing genetic variation. Motivated by this, we use a recently developed method for identifying IBD sharing among individuals from genome-wide data to scan populations from the new HapMap phase 3 project for regions with excess IBD sharing in order to identify regions in the human genome that have been under strong, very recent selection. The HLA region is by far the region showing the most extreme signal, suggesting that much of the strong recent selection acting on the human genome has been immune related and acting on HLA loci. As equilibrium overdominance does not tend to increase IBD, we argue that this type of selection cannot explain our observations.",
keywords = "Alleles, Chromosomes, Human, Pair 8, Evolution, Molecular, Genome, Human, HLA Antigens, Haplotypes, Humans, Models, Genetic, Phylogeny, Probability, Selection, Genetic",
author = "Anders Albrechtsen and Ida Moltke and Rasmus Nielsen",
year = "2010",
doi = "10.1534/genetics.110.113977",
language = "English",
volume = "186",
pages = "295--308",
journal = "Genetics",
issn = "1943-2631",
publisher = "The Genetics Society of America (GSA)",
number = "1",

}

RIS

TY - JOUR

T1 - Natural selection and the distribution of identity-by-descent in the human genome

AU - Albrechtsen, Anders

AU - Moltke, Ida

AU - Nielsen, Rasmus

PY - 2010

Y1 - 2010

N2 - There has recently been considerable interest in detecting natural selection in the human genome. Selection will usually tend to increase identity-by-descent (IBD) among individuals in a population, and many methods for detecting recent and ongoing positive selection indirectly take advantage of this. In this article we show that excess IBD sharing is a general property of natural selection and we show that this fact makes it possible to detect several types of selection including a type that is otherwise difficult to detect: selection acting on standing genetic variation. Motivated by this, we use a recently developed method for identifying IBD sharing among individuals from genome-wide data to scan populations from the new HapMap phase 3 project for regions with excess IBD sharing in order to identify regions in the human genome that have been under strong, very recent selection. The HLA region is by far the region showing the most extreme signal, suggesting that much of the strong recent selection acting on the human genome has been immune related and acting on HLA loci. As equilibrium overdominance does not tend to increase IBD, we argue that this type of selection cannot explain our observations.

AB - There has recently been considerable interest in detecting natural selection in the human genome. Selection will usually tend to increase identity-by-descent (IBD) among individuals in a population, and many methods for detecting recent and ongoing positive selection indirectly take advantage of this. In this article we show that excess IBD sharing is a general property of natural selection and we show that this fact makes it possible to detect several types of selection including a type that is otherwise difficult to detect: selection acting on standing genetic variation. Motivated by this, we use a recently developed method for identifying IBD sharing among individuals from genome-wide data to scan populations from the new HapMap phase 3 project for regions with excess IBD sharing in order to identify regions in the human genome that have been under strong, very recent selection. The HLA region is by far the region showing the most extreme signal, suggesting that much of the strong recent selection acting on the human genome has been immune related and acting on HLA loci. As equilibrium overdominance does not tend to increase IBD, we argue that this type of selection cannot explain our observations.

KW - Alleles

KW - Chromosomes, Human, Pair 8

KW - Evolution, Molecular

KW - Genome, Human

KW - HLA Antigens

KW - Haplotypes

KW - Humans

KW - Models, Genetic

KW - Phylogeny

KW - Probability

KW - Selection, Genetic

U2 - 10.1534/genetics.110.113977

DO - 10.1534/genetics.110.113977

M3 - Journal article

C2 - 20592267

VL - 186

SP - 295

EP - 308

JO - Genetics

JF - Genetics

SN - 1943-2631

IS - 1

ER -

ID: 32959962