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Alexandre Bureau

dblp:148/4695 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-8220-9999ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › rare variant analysis
rare variant association testing
0.622019
Detection of rare disease variants in extended pedigrees using RVS · Bioinform. 2019
Inferring rare disease risk variants based on exact probabilities of sharing by multiple affected relatives · Bioinform. 2014
Bioinformatics and computational biology › population genetics
genetics
0.412019
Detection of rare disease variants in extended pedigrees using RVS · Bioinform. 2019
Bioinformatics and computational biology
statistical genetics
0.212014
Inferring rare disease risk variants based on exact probabilities of sharing by multiple affected relatives · Bioinform. 2014

Methods — techniques the papers use, named apart from their topics

identical-by-descent sharing · 0.4monte carlo simulation · 0.2kinship estimation · 0.2
YearPublicationVenuePosition
2019 Detection of rare disease variants in extended pedigrees using RVS
abstract
SUMMARY: Family-based sequencing studies enable researchers to identify highly penetrant genetic variants too rare to be tested in conventional case-control studies, by studying co-segregation of variant and disease phenotypes. When multiple affected subjects in a family are sequenced, the probability that a variant or a set of variants is shared identical-by-descent by some or all affected relatives provides evidence against the null hypothesis of complete absence of linkage and association. The Rare Variant Sharing software package RVS implements a suite of tools to assess association and linkage between rare genetic variants and a dichotomous disease indicator in family pedigrees. AVAILABILITY AND IMPLEMENTATION: RVS is available as open source software from the Bioconductor webpage at https://bioconductor.org/packages/release/bioc/html/RVS.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Thomas Sherman, Jack M. Fu, Robert B. Scharpf, Alexandre Bureau, Ingo Ruczinski
Bioinform.4
2014 Inferring rare disease risk variants based on exact probabilities of sharing by multiple affected relatives
abstract
MOTIVATION: Family-based designs are regaining popularity for genomic sequencing studies because they provide a way to test cosegregation with disease of variants that are too rare in the population to be tested individually in a conventional case-control study. RESULTS: Where only a few affected subjects per family are sequenced, the probability that any variant would be shared by all affected relatives-given it occurred in any one family member-provides evidence against the null hypothesis of a complete absence of linkage and association. A P-value can be obtained as the sum of the probabilities of sharing events as (or more) extreme in one or more families. We generalize an existing closed-form expression for exact sharing probabilities to more than two relatives per family. When pedigree founders are related, we show that an approximation of sharing probabilities based on empirical estimates of kinship among founders obtained from genome-wide marker data is accurate for low levels of kinship. We also propose a more generally applicable approach based on Monte Carlo simulations. We applied this method to a study of 55 multiplex families with apparent non-syndromic forms of oral clefts from four distinct populations, with whole exome sequences available for two or three affected members per family. The rare single nucleotide variant rs149253049 in ADAMTS9 shared by affected relatives in three Indian families achieved significance after correcting for multiple comparisons ([Formula: see text]). AVAILABILITY AND IMPLEMENTATION: Source code and binaries of the R package RVsharing are freely available for download at http://cran.r-project.org/web/packages/RVsharing/index.html. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Alexandre Bureau, Samuel G. Younkin, Margaret M. Parker, Joan E. Bailey-Wilson, Mary L. Marazita, Jeffrey C. Murray, Elisabeth Mangold, Hasan Albacha-Hejazi, Terri H. Beaty, Ingo Ruczinski
Bioinform.1