Evidence map›Paper›PMID 37333422›Full record

ArticlebioRxiv : the preprint server for biology2023

Aberrant landscapes of maternal meiotic crossovers contribute to aneuploidies in human embryos.

Daniel Ariad, Svetlana Madjunkova, Mitko Madjunkov, Siwei Chen, Rina Abramov, Clifford Librach, Rajiv C McCoy

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Daniel AriadDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-7427-6435
Svetlana MadjunkovaCReATe Fertility Centre, Toronto, Canada.ORCID 0000-0001-8233-6621
Mitko MadjunkovCReATe Fertility Centre, Toronto, Canada.ORCID 0000-0002-0389-6901
Siwei ChenCReATe Fertility Centre, Toronto, Canada.
Rina AbramovCReATe Fertility Centre, Toronto, Canada.
Clifford LibrachCReATe Fertility Centre, Toronto, Canada.ORCID 0000-0002-9699-4059
Rajiv C McCoyDepartment of Biology, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-0615-146X
CReATe Fertility Centre · CAJohns Hopkins University · USUniversity of Toronto · CA

Funding

Function and fitness consequences of human genetic variationR35GM133747 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Rajiv Champion McCoy · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM133747
6 · The paper itself

Abstract

Meiotic recombination is crucial for human genetic diversity and chromosome segregation accuracy. Understanding its variation across individuals and the processes by which it goes awry are long-standing goals in human genetics. Current approaches for inferring recombination landscapes either rely on population genetic patterns of linkage disequilibrium (LD)-capturing a time-averaged view-or direct detection of crossovers in gametes or multi-generation pedigrees, which limits dataset scale and availability. Here, we introduce an approach for inferring sex-specific recombination landscapes using data from preimplantation genetic testing for aneuploidy (PGT-A). This method relies on low-coverage (<0.05×) whole-genome sequencing of

Indexed as

in vitro fertilizationmeiosismonosomypreimplantation genetic testingrecombinationtrisomy

Identifiers

PMID37333422
PMCPMC10274764
OpenAlexW4379979511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.