Common DNA Variants Accurately Rank an Individual of Extreme Height

Joint Authors

Ridge, Perry G.
Kauwe, John S. K.
Sexton, Corinne E.
Ebbert, Mark T. W.
Miller, Ryan H.
Ferrel, Meganne
Tschanz, Jo Ann T.
Corcoran, Christopher D.
Ridge, Perry G.

Source

International Journal of Genomics

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-09-04

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Biology

Abstract EN

Polygenic scores (or genetic risk scores) quantify the aggregate of small effects from many common genetic loci that have been associated with a trait through genome-wide association.

Polygenic scores were first used successfully in schizophrenia and have since been applied to multiple phenotypes including multiple sclerosis, rheumatoid arthritis, and height.

Because human height is an easily-measured and complex polygenic trait, polygenic height scores provide exciting insights into the predictability of aggregate common variant effect on the phenotype.

Shawn Bradley is an extremely tall former professional basketball player from Brigham Young University and the National Basketball Association (NBA), measuring 2.29 meters (7′6″, 99.99999th percentile for height) tall, with no known medical conditions.

Here, we present a case where a rare combination of common SNPs in one individual results in an extremely high polygenic height score that is correlated with an extreme phenotype.

While polygenic scores are not clinically significant in the average case, our findings suggest that for extreme phenotypes, polygenic scores may be more successful for the prediction of individuals.

American Psychological Association (APA)

Sexton, Corinne E.& Ebbert, Mark T. W.& Miller, Ryan H.& Ferrel, Meganne& Tschanz, Jo Ann T.& Corcoran, Christopher D.…[et al.]. 2018. Common DNA Variants Accurately Rank an Individual of Extreme Height. International Journal of Genomics،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1172753

Modern Language Association (MLA)

Sexton, Corinne E.…[et al.]. Common DNA Variants Accurately Rank an Individual of Extreme Height. International Journal of Genomics No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1172753

American Medical Association (AMA)

Sexton, Corinne E.& Ebbert, Mark T. W.& Miller, Ryan H.& Ferrel, Meganne& Tschanz, Jo Ann T.& Corcoran, Christopher D.…[et al.]. Common DNA Variants Accurately Rank an Individual of Extreme Height. International Journal of Genomics. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1172753

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1172753