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Mitchell et al. 15 (7): 960
.
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137
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Research
:
Long-read genome sequencing and variant reanalysis increase diagnostic yield in neurodevelopmental disorders
Susan M. Hiatt
,
James M.J. Lawlor
,
Lori H. Handley
,
Donald R. Latner
,
Zachary T. Bonnstetter
,
Candice R. Finnila
,
Michelle L. Thompson
,
Lori Beth Boston
,
Melissa Williams
,
Ivan Rodriguez Nunez
,
Jerry Jenkins
,
Whitley V. Kelley
,
E. Martina Bebin
,
Michael A. Lopez
,
Anna C.E. Hurst
,
Bruce R. Korf
,
Jeremy Schmutz
,
Jane Grimwood
,
and
Gregory M. Cooper
Genome Res.
November 2024
34
:
1747
-
1762
;
Published in Advance
September 19, 2024
,
doi:
10.1101/gr.279227.124
...(i.e., would be P/LP regardless of P/LP variation in the other gene), and it is possible if not
probable
that at least some conditions result from combinations of
variants
in different genes that are not pathogenic in isolation (Papadimitriou et al. 2019). At the further end of this spectrum...
Abstract
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Method
:
Polishing copy number variant calls on exome sequencing data via deep learning
Furkan Özden
,
Can Alkan
,
and
A. Ercüment Çiçek
Genome Res.
June 2022
32
:
1170
-
1182
;
Published in Advance
June 13, 2022
,
doi:
10.1101/gr.274845.120
...; Pankratz et al. 2011; Zarrei et al. 2019) and various cancers such as breast, ovary, and pancreas cancers (Kumaran et al. 2017; Hieronymus et al. 2018; Macintyre et al. 2018; Reid et al. 2019). Karyotyping and microarray analyses have been the standard clinical testing for
disease-causing
CNVs for many...
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Research
:
Deletions of recessive disease genes: CNV contribution to carrier states and disease-causing alleles
Philip M. Boone
,
Ian M. Campbell
,
Brett C. Baggett
,
Zachry T. Soens
,
Mitchell M. Rao
,
Patricia M. Hixson
,
Ankita Patel
,
Weimin Bi
,
Sau Wai Cheung
,
Seema R. Lalani
,
Arthur L. Beaudet
,
Pawel Stankiewicz
,
Chad A. Shaw
,
and
James R. Lupski
Genome Res.
September 2013
23
:
1383
-
1394
;
Published in Advance
May 16, 2013
,
doi:
10.1101/gr.156075.113
...-person load of
variants
was not enumerated. The 1000GP pilot phase data were furthermined by Xue et al. (2012) to more accurately identify likely damaging
mutations
; however, the predicted consequence of each
variant
(i.e.,
disease-causing
vs. carrier) was not systematically addressed in light...
Abstract
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Method
:
Identification of pathogenic variant enriched regions across genes and gene families
Eduardo Pérez-Palma
,
Patrick May
,
Sumaiya Iqbal
,
Lisa-Marie Niestroj
,
Juanjiangmeng Du
,
Henrike O. Heyne
,
Jessica A. Castrillon
,
Anne O'Donnell-Luria
,
Peter Nürnberg
,
Aarno Palotie
,
Mark Daly
,
and
Dennis Lal
Genome Res.
January 2020
30
:
62
-
71
;
Published in Advance
December 23, 2019
,
doi:
10.1101/gr.252601.119
...to identify protein regions constrained for
variants
in the general population and likely
disease
causing
when
mutated
. Protein regions that can confer risk to disease through low penetrance
variants
or late onset of disease after typical reproductive age are unlikely to be identified in PERs owing to little...
Abstract
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Method
:
The oligogenic inheritance test GCOD detects risk genes and their interactions in congenital heart defects
Maureen Pittman
,
Kihyun Lee
,
Franco Felix
,
Yu Huang
,
Adrienne Lam
,
Mauro W. Costa
,
Deepak Srivastava
,
and
Katherine S. Pollard
Genome Res.
February 2026
36
:
330
-
347
;
Published in Advance
December 12, 2025
,
doi:
10.1101/gr.281141.125
...be explored, from small gene sets with very rare co-occurring
variants
of high impact to larger gene sets that include small-effect, possibly damaging
variants
that could modify the effects of other primary
disease-causing
variant(s
) or otherwise contribute to a polygenic signal.Here we use the terms...
Abstract
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LETTER
:
Features of 5′-splice-site efficiency derived from disease-causing mutations and comparative genomics
Xavier Roca
,
Andrew J. Olson
,
Atmakuri R. Rao
,
Espen Enerly
,
Vessela N. Kristensen
,
Anne-Lise Børresen-Dale
,
Brage S. Andresen
,
Adrian R. Krainer
,
and
Ravi Sachidanandam
Genome Res.
January 2008
18
:
77
-
87
;
Published in Advance
November 21, 2007
,
doi:
10.1101/gr.6859308
...Features of 5′-splice-site efficiency derived from
disease-causing
mutations
and comparative genomics Xavier Roca 1 , Andrew J. Olson 1 , Atmakuri R. Rao 1 , 6 , Espen Enerly 2 , 3 , Vessela N. Kristensen 2 , 3 , Anne-Lise Børresen...
Abstract
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Method
:
Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation
Joshua Traynelis
,
Michael Silk
,
Quanli Wang
,
Samuel F. Berkovic
,
Liping Liu
,
David B. Ascher
,
David J. Balding
,
and
Slavé Petrovski
Genome Res.
October 2017
27
:
1715
-
1729
;
Published in Advance
September 1, 2017
,
doi:
10.1101/gr.226589.117
...
disease-causing
from benign
variants
. Large samples of human standing variation data highlight regional variation in the tolerance to missense variation within the protein-coding sequence of genes. This information is not well captured by existing bioinformatic tools, but is effective in improving
variant
...
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Method
:
Read-level genotyping of short tandem repeats using long reads and single-nucleotide variation with STRkit
David R. Lougheed
,
Tomi Pastinen
,
and
Guillaume Bourque
Genome Res.
March 2026
36
:
578
-
588
;
Published in Advance
January 15, 2026
,
doi:
10.1101/gr.280766.125
...motif composition can also affect phenotype: insertion of a stretch of a noncanonical motif into a noncoding STR in the DAB1 gene is responsible for a form of spinocerebellar ataxia (Seixas et al. 2017). Beyond expansion detection, precisely determining copy number and motif composition in
disease-causing
...
Abstract
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Research
:
Actionable exomic incidental findings in 6503 participants: challenges of variant classification
Laura M. Amendola
,
Michael O. Dorschner
,
Peggy D. Robertson
,
Joseph S. Salama
,
Ragan Hart
,
Brian H. Shirts
,
Mitzi L. Murray
,
Mari J. Tokita
,
Carlos J. Gallego
,
Daniel Seung Kim
,
James T. Bennett
,
David R. Crosslin
,
Jane Ranchalis
,
Kelly L. Jones
,
Elisabeth A. Rosenthal
,
Ella R. Jarvik
,
Andy Itsara
,
Emily H. Turner
,
Daniel S. Herman
,
Jennifer Schleit
,
Amber Burt
,
Seema M. Jamal
,
Jenica L. Abrudan
,
Andrew D. Johnson
,
Laura K. Conlin
,
Matthew C. Dulik
,
Avni Santani
,
Danielle R. Metterville
,
Melissa Kelly
,
Ann Katherine M. Foreman
,
Kristy Lee
,
Kent D. Taylor
,
Xiuqing Guo
,
Kristy Crooks
,
Lesli A. Kiedrowski
,
Leslie J. Raffel
,
Ora Gordon
,
Kalotina Machini
,
Robert J. Desnick
,
Leslie G. Biesecker
,
Steven A. Lubitz
,
Surabhi Mulchandani
,
Greg M. Cooper
,
Steven Joffe
,
C. Sue Richards
,
Yaoping Yang
,
Jerome I. Rotter
,
Stephen S. Rich
,
Christopher J. O’Donnell
,
Jonathan S. Berg
,
Nancy B. Spinner
,
James P. Evans
,
Stephanie M. Fullerton
,
Kathleen A. Leppig
,
Robin L. Bennett
,
Thomas Bird
,
Virginia P. Sybert
,
William M. Grady
,
Holly K. Tabor
,
Jerry H. Kim
,
Michael J. Bamshad
,
Benjamin Wilfond
,
Arno G. Motulsky
,
C. Ronald Scott
,
Colin C. Pritchard
,
Tom D. Walsh
,
Wylie Burke
,
Wendy H. Raskind
,
Peter Byers
,
Fuki M. Hisama
,
Heidi Rehm
,
Debbie A. Nickerson
,
and
Gail P. Jarvik
Genome Res.
March 2015
25
:
305
-
315
;
Published in Advance
January 30, 2015
,
doi:
10.1101/gr.183483.114
...criteria and categories are presented in Table 1A and Table 1B, respectively. There were 615 distinct
variants
annotated in the Human Gene
Mutation
Database (HGMD) as
disease
causing
in these 6503 participants’ exomes: 224were identified in the original 1000 participants (500 European ancestry and 500...
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Research
:
Common
cis
-regulatory variation modifies the penetrance of pathogenic
SHROOM3
variants in craniofacial microsomia
Hao Zhu
,
Jiao Zhang
,
Soumya Rao
,
Matthew D. Durbin
,
Ying Li
,
Ruirui Lang
,
Jiqiang Liu
,
Baichuan Xiao
,
Hailin Shan
,
Ziqiu Meng
,
Jinmo Wang
,
Xiaokai Tang
,
Zhenni Shi
,
Liza L. Cox
,
Shouqin Zhao
,
Stephanie M. Ware
,
Tiong Y. Tan
,
Michelle de Silva
,
Lyndon Gallacher
,
Ting Liu
,
Jie Mi
,
Changqing Zeng
,
Hou-Feng Zheng
,
Qingguo Zhang
,
Stylianos E. Antonarakis
,
Timothy C. Cox
,
and
Yong-Biao Zhang
Genome Res.
May 2025
35
:
1065
-
1079
;
Published in Advance
April 15, 2025
,
doi:
10.1101/gr.280047.124
...posterior
probabilities
as potential causal factors (Uffelmann et al. 2021). We included the top 10
variants
of each algorithm and found that half of them were eQTLs (Supplemental Table 6). Combining the results from these fine-mapping methods, we identified two unlinked eQTLs, rs10017322 and rs344131 (r2...
Abstract
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