Statistics

Release versionv1.0
Candidate PMIDs17637
PMID × variant records103889
Unique variants48289
Unique genes1281
Unique PMIDs17637
PM3-related records3842
Supplement-derived records46665

PM3-related evidence sparsity

PM3-related evidence was sparse relative to the full variant–publication search space. Among 103,889 canonical records, 3,842 (3.70%) were classified as PM3-related evidence, including 223 phase-confirmed records and 3,619 phase-unconfirmed biallelic evidence records. These records involved 2,759 index variants across 701 genes, indicating that PM3-relevant observations are distributed across a broad gene space but remain uncommon at the level of individual variant–publication pairs.

This sparsity highlights a central challenge for PM3-oriented interpretation: clinically relevant genotype evidence is scattered across a large literature corpus, while most candidate variant–publication associations do not provide usable PM3 evidence. A dedicated PM3 database is therefore valuable not because PM3 evidence is abundant, but because it is rare, fragmented, and difficult to identify efficiently through publication-level search alone.

Phase-confirmed PM3 evidence 223
Phase-unconfirmed biallelic evidence 3,619
PM3-related index variants 2,759
PM3-related genes 701

Allelic configuration context distribution

Label Share Count
Compound heterozygous candidate 2367
Homozygous evidence 999
Other patient-level evidence 557
Confirmed in trans 438
PM3 evidence context not structured 38

Reviewed source distribution

Label Share Count
Main article 56725
Main article and supplement 45732
Supplementary material 933
Unknown 499

Publication year distribution

Label Share Count
2026 274
2025 1080
2024 1458
2023 1530
2022 1708
2021 1549
2020 1383
2019 1320
2018 1207
2017 991
2016 903
2015 794
2014 641
2013 516
2012 444
2011 344
2010 328
2009 264
2008 176
2007 110
2006 111
2005 93
2004 85
2003 69
2002 48
2001 40
2000 29
1999 31
1998 27
1997 23
1996 12
1995 12
1994 13
1993 3
1992 5
1991 7
1990 2
1979 1

Data quality summary

Release-level quality assessment includes benchmark evaluation, manual audit and database consistency checks. Detailed methods and results belong in the manuscript and supplementary materials; this page summarizes database scale, evidence distribution and source provenance for portal users.