Literature DB >> 26940866

Health and population effects of rare gene knockouts in adult humans with related parents.

Vagheesh M Narasimhan1, Karen A Hunt2, Dan Mason3, Christopher L Baker4, Konrad J Karczewski5, Michael R Barnes6, Anthony H Barnett7, Chris Bates8, Srikanth Bellary9, Nicholas A Bockett2, Kristina Giorda10, Christopher J Griffiths2, Harry Hemingway11, Zhilong Jia6, M Ann Kelly12, Hajrah A Khawaja6, Monkol Lek5, Shane McCarthy1, Rosie McEachan3, Anne O'Donnell-Luria5, Kenneth Paigen4, Constantinos A Parisinos2, Eamonn Sheridan3, Laura Southgate2, Louise Tee12, Mark Thomas1, Yali Xue1, Michael Schnall-Levin10, Petko M Petkov4, Chris Tyler-Smith1, Eamonn R Maher13, Richard C Trembath14, Daniel G MacArthur5, John Wright3, Richard Durbin15, David A van Heel16.   

Abstract

Examining complete gene knockouts within a viable organism can inform on gene function. We sequenced the exomes of 3222 British adults of Pakistani heritage with high parental relatedness, discovering 1111 rare-variant homozygous genotypes with predicted loss of function (knockouts) in 781 genes. We observed 13.7% fewer homozygous knockout genotypes than we expected, implying an average load of 1.6 recessive-lethal-equivalent loss-of-function (LOF) variants per adult. When genetic data were linked to the individuals' lifelong health records, we observed no significant relationship between gene knockouts and clinical consultation or prescription rate. In this data set, we identified a healthy PRDM9-knockout mother and performed phased genome sequencing on her, her child, and control individuals. Our results show that meiotic recombination sites are localized away from PRDM9-dependent hotspots. Thus, natural LOF variants inform on essential genetic loci and demonstrate PRDM9 redundancy in humans.
Copyright © 2016, American Association for the Advancement of Science.

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Year:  2016        PMID: 26940866      PMCID: PMC4985238          DOI: 10.1126/science.aac8624

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  59 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  A fine-scale map of recombination rates and hotspots across the human genome.

Authors:  Simon Myers; Leonardo Bottolo; Colin Freeman; Gil McVean; Peter Donnelly
Journal:  Science       Date:  2005-10-14       Impact factor: 47.728

3.  A histone H3 methyltransferase controls epigenetic events required for meiotic prophase.

Authors:  Katsuhiko Hayashi; Kayo Yoshida; Yasuhisa Matsui
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

4.  Socioeconomic status in health research: one size does not fit all.

Authors:  Paula A Braveman; Catherine Cubbin; Susan Egerter; Sekai Chideya; Kristen S Marchi; Marilyn Metzler; Samuel Posner
Journal:  JAMA       Date:  2005-12-14       Impact factor: 56.272

5.  AN ESTIMATE OF THE MUTATIONAL DAMAGE IN MAN FROM DATA ON CONSANGUINEOUS MARRIAGES.

Authors:  N E Morton; J F Crow; H J Muller
Journal:  Proc Natl Acad Sci U S A       Date:  1956-11       Impact factor: 11.205

6.  Mapping short DNA sequencing reads and calling variants using mapping quality scores.

Authors:  Heng Li; Jue Ruan; Richard Durbin
Journal:  Genome Res       Date:  2008-08-19       Impact factor: 9.043

7.  Null mutations in human and mouse orthologs frequently result in different phenotypes.

Authors:  Ben-Yang Liao; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-05       Impact factor: 11.205

8.  High-resolution mapping of crossovers reveals extensive variation in fine-scale recombination patterns among humans.

Authors:  Graham Coop; Xiaoquan Wen; Carole Ober; Jonathan K Pritchard; Molly Przeworski
Journal:  Science       Date:  2008-01-31       Impact factor: 47.728

9.  A low genomic number of recessive lethals in natural populations of bluefin killifish and zebrafish.

Authors:  Amy R McCune; Rebecca C Fuller; Allisan A Aquilina; Robert M Dawley; James M Fadool; David Houle; Joseph Travis; Alexey S Kondrashov
Journal:  Science       Date:  2002-06-28       Impact factor: 47.728

10.  Born in Bradford, a cohort study of babies born in Bradford, and their parents: protocol for the recruitment phase.

Authors:  Pauline Raynor
Journal:  BMC Public Health       Date:  2008-09-23       Impact factor: 3.295

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  122 in total

Review 1.  Human gene essentiality.

Authors:  István Bartha; Julia di Iulio; J Craig Venter; Amalio Telenti
Journal:  Nat Rev Genet       Date:  2017-10-30       Impact factor: 53.242

2.  Genetic Inactivation of CD33 in Hematopoietic Stem Cells to Enable CAR T Cell Immunotherapy for Acute Myeloid Leukemia.

Authors:  Miriam Y Kim; Kyung-Rok Yu; Saad S Kenderian; Marco Ruella; Shirley Chen; Tae-Hoon Shin; Aisha A Aljanahi; Daniel Schreeder; Michael Klichinsky; Olga Shestova; Miroslaw S Kozlowski; Katherine D Cummins; Xinhe Shan; Maksim Shestov; Adam Bagg; Jennifer J D Morrissette; Palak Sekhri; Cicera R Lazzarotto; Katherine R Calvo; Douglas B Kuhns; Robert E Donahue; Gregory K Behbehani; Shengdar Q Tsai; Cynthia E Dunbar; Saar Gill
Journal:  Cell       Date:  2018-05-31       Impact factor: 41.582

Review 3.  Embracing human genetics: a primer for developmental biologists.

Authors:  Elizabeth J Leslie
Journal:  Development       Date:  2020-07-02       Impact factor: 6.868

4.  Biomedicine: Human genes lost and their functions found.

Authors:  Robert M Plenge
Journal:  Nature       Date:  2017-04-12       Impact factor: 49.962

5.  Highly Efficient CRISPR-Cas9-Based Methods for Generating Deletion Mutations and F0 Embryos that Lack Gene Function in Zebrafish.

Authors:  Kazuyuki Hoshijima; Michael J Jurynec; Dana Klatt Shaw; Ashley M Jacobi; Mark A Behlke; David Jonah Grunwald
Journal:  Dev Cell       Date:  2019-11-07       Impact factor: 12.270

6.  Adaptation and Phenotypic Diversification in Arabidopsis through Loss-of-Function Mutations in Protein-Coding Genes.

Authors:  Yong-Chao Xu; Xiao-Min Niu; Xin-Xin Li; Wenrong He; Jia-Fu Chen; Yu-Pan Zou; Qiong Wu; Yong E Zhang; Wolfgang Busch; Ya-Long Guo
Journal:  Plant Cell       Date:  2019-03-18       Impact factor: 11.277

Review 7.  Non-Coding Loss-of-Function Variation in Human Genomes.

Authors:  Zachary Zappala; Stephen B Montgomery
Journal:  Hum Hered       Date:  2017-01-12       Impact factor: 0.444

8.  Human genetics: Loss-of-function variants--not always what they seem.

Authors:  Darren J Burgess
Journal:  Nat Rev Genet       Date:  2016-03-14       Impact factor: 53.242

Review 9.  Network biology concepts in complex disease comorbidities.

Authors:  Jessica Xin Hu; Cecilia Engel Thomas; Søren Brunak
Journal:  Nat Rev Genet       Date:  2016-08-08       Impact factor: 53.242

10.  Profiling and Leveraging Relatedness in a Precision Medicine Cohort of 92,455 Exomes.

Authors:  Jeffrey Staples; Evan K Maxwell; Nehal Gosalia; Claudia Gonzaga-Jauregui; Christopher Snyder; Alicia Hawes; John Penn; Ricardo Ulloa; Xiaodong Bai; Alexander E Lopez; Cristopher V Van Hout; Colm O'Dushlaine; Tanya M Teslovich; Shane E McCarthy; Suganthi Balasubramanian; H Lester Kirchner; Joseph B Leader; Michael F Murray; David H Ledbetter; Alan R Shuldiner; George D Yancoupolos; Frederick E Dewey; David J Carey; John D Overton; Aris Baras; Lukas Habegger; Jeffrey G Reid
Journal:  Am J Hum Genet       Date:  2018-05-03       Impact factor: 11.025

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