Exome sequencing and analysis of 44,028 British South Asians enriched for high autozygosity
Bibliographic record
Abstract
Abstract Genes and Health (G&H) is a biomedical study of adult British-Pakistani and -Bangladeshi research volunteers enriched for autozygosity. We performed whole exome sequencing in 44,028 G&H participants, establishing the largest publicly available South Asian exome resource linked to longitudinal electronic health records. We performed association analyses for 646 traits under additive and recessive models, and meta-analysis of 33 cardiometabolic traits with UK Biobank, finding more than 100 novel gene-phenotype associations such as ADAM15 with pulmonary oedema and ADCY6 with intracerebral haemorrhage. We identified 2,991 genes with rare biallelic predicted loss-of-function (“knockout”) genotypes, 546 of which had not been previously reported. We show that the presence of knockouts in adults is associated with 2.2-times higher likelihood of drugs progressing beyond Phase 1 clinical trial. We further illustrate how their phenotypic profile can enhance efficacy and safety assessment of drug targets and aid in the interpretation of variants with ambiguous clinical significance in autosomal recessive disease genes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".