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Table 5 A table showing the highest-scoring SNP positions and their corresponding genes. SNP annotation is the functional implication and SNP impact is a classification of how a SNP might affect the function of the gene

From: Generalizability of machine learning in predicting antimicrobial resistance in E. coli: a multi-country case study in Africa

SNP Position

Gene location

Gene

SNP Annotation

SNP impact

Gene BioType

Drug

1,008,149

1,007,844–1,009,952

rlmL

Synonymous

LOW

Protein coding

CIP

2,189,699

2,188,430–2,190,910

yehB

Synonymous

LOW

Protein coding

CIP

4,040,529

4,040,517–4,040,636

rrfA

Intragenic

MODIFIER

Protein coding

CIP

1,324,783

1,324,746–1,326,641

yciQ

Missense

MODERATE

Protein coding

CIP

3,230,190

3,228,888–3,231,239

ygjk

Missense

MODERATE

Protein coding

CIP

2,313,886

2,313,488–2,316,160

rcsD

Synonymous

LOW

Protein coding

AMP

3,260,865

3,260,124–3,262,418

tdcE

Synonymous

LOW

Protein coding

AMP

3,591,222

3,591,009–3,592,325

ugpB

Synonymous

LOW

Protein coding

AMP

4,410,212

4,410,133–4,410,534

yjfI

Missense

MODERATE

Protein coding

AMP

2,824,686

2,824,491–2,825,576

mltB

Synonymous

LOW

Protein coding

CTX

1,427,523

1,427,389–1,427,598

lomR

synonymous

LOW

Protein coding

CTX

1,393,610

1,393,227–1,394,840

mppA

Missense

MODERATE

Protein coding

CTX

3,723,696

3,722,328–3,724,397

glyS

Synonymous

LOW

Protein coding

CTX