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Analysis of the genetic basis of height in large Jewish nuclear families

Despite intensive study, most of the specific genetic factors that contribute to variation in human height remain undiscovered. We conducted a family-based linkage study of height in a unique cohort of very large nuclear families from a founder (Jewish) population. This design allowed for increased...

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Autores principales: Zeevi, Danny, Bloom, Joshua S., Sadhu, Meru J., Ben Yehuda, Adi, Zangen, David, Levy-Lahad, Ephrat, Kruglyak, Leonid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6638967/
https://www.ncbi.nlm.nih.gov/pubmed/31283753
http://dx.doi.org/10.1371/journal.pgen.1008082
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author Zeevi, Danny
Bloom, Joshua S.
Sadhu, Meru J.
Ben Yehuda, Adi
Zangen, David
Levy-Lahad, Ephrat
Kruglyak, Leonid
author_facet Zeevi, Danny
Bloom, Joshua S.
Sadhu, Meru J.
Ben Yehuda, Adi
Zangen, David
Levy-Lahad, Ephrat
Kruglyak, Leonid
author_sort Zeevi, Danny
collection PubMed
description Despite intensive study, most of the specific genetic factors that contribute to variation in human height remain undiscovered. We conducted a family-based linkage study of height in a unique cohort of very large nuclear families from a founder (Jewish) population. This design allowed for increased power to detect linkage, compared to previous family-based studies. Loci we identified in discovery families could explain an estimated lower bound of 6% of the variance in height in validation families. We showed that these loci are not tagging known common variants associated with height. Rather, we suggest that the observed signals arise from variants with large effects that are rare globally but elevated in frequency in the Jewish population.
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spelling pubmed-66389672019-07-25 Analysis of the genetic basis of height in large Jewish nuclear families Zeevi, Danny Bloom, Joshua S. Sadhu, Meru J. Ben Yehuda, Adi Zangen, David Levy-Lahad, Ephrat Kruglyak, Leonid PLoS Genet Research Article Despite intensive study, most of the specific genetic factors that contribute to variation in human height remain undiscovered. We conducted a family-based linkage study of height in a unique cohort of very large nuclear families from a founder (Jewish) population. This design allowed for increased power to detect linkage, compared to previous family-based studies. Loci we identified in discovery families could explain an estimated lower bound of 6% of the variance in height in validation families. We showed that these loci are not tagging known common variants associated with height. Rather, we suggest that the observed signals arise from variants with large effects that are rare globally but elevated in frequency in the Jewish population. Public Library of Science 2019-07-08 /pmc/articles/PMC6638967/ /pubmed/31283753 http://dx.doi.org/10.1371/journal.pgen.1008082 Text en © 2019 Zeevi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zeevi, Danny
Bloom, Joshua S.
Sadhu, Meru J.
Ben Yehuda, Adi
Zangen, David
Levy-Lahad, Ephrat
Kruglyak, Leonid
Analysis of the genetic basis of height in large Jewish nuclear families
title Analysis of the genetic basis of height in large Jewish nuclear families
title_full Analysis of the genetic basis of height in large Jewish nuclear families
title_fullStr Analysis of the genetic basis of height in large Jewish nuclear families
title_full_unstemmed Analysis of the genetic basis of height in large Jewish nuclear families
title_short Analysis of the genetic basis of height in large Jewish nuclear families
title_sort analysis of the genetic basis of height in large jewish nuclear families
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6638967/
https://www.ncbi.nlm.nih.gov/pubmed/31283753
http://dx.doi.org/10.1371/journal.pgen.1008082
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