Bardet-Biedl syndrome: genes and variants
Bardet-Biedl syndrome is linked to 6 analyzed proteins (BBS2, BBS1, BBS4, IFT172, ALMS1 and CEP290). 48 DNA variants are known to cause it; 1,064 more are uncertain, and 0 of those already look disease-causing on computable evidence.
Last updated 2026-09-30. Research information, not medical advice.
Also known as: Bardet-Biedl syndrome 1; Bardet-Biedl syndrome 14; Bardet-Biedl syndrome 2; Bardet-Biedl syndrome 20; Bardet-Biedl syndrome 22; Bardet-Biedl syndrome 4
Genes linked to Bardet-Biedl syndrome
BBS2: BBSome complex member BBS2
It contributes to BBSome assembly and ciliary cargo trafficking, which are required for signaling in photoreceptors, kidney, hypothalamus, and other tissues. Biallelic loss-of-function variants cause Bardet-Biedl syndrome.
19 disease-causing and 268 uncertain variants in BBS2 are linked to Bardet-Biedl syndrome.
BBS1: BBSome complex member BBS1
Within the BBSome, it helps control trafficking of membrane proteins into and out of primary cilia. Biallelic pathogenic variants cause Bardet-Biedl syndrome, with retinal degeneration, obesity, renal abnormalities, polydactyly, and variable neurodevelopmental features.
16 disease-causing and 253 uncertain variants in BBS1 are linked to Bardet-Biedl syndrome.
BBS4: BBSome complex member BBS4
It helps assemble and localize the BBSome and links ciliary trafficking machinery to the cytoskeleton. Biallelic pathogenic variants cause Bardet-Biedl syndrome, with characteristic retinal, metabolic, renal, and developmental manifestations.
9 disease-causing and 192 uncertain variants in BBS4 are linked to Bardet-Biedl syndrome.
IFT172: Intraflagellar transport protein 172 homolog
It supports intraflagellar transport required for assembly and maintenance of primary and sensory cilia. Biallelic pathogenic variants cause ciliopathies that can involve retinal degeneration, skeletal abnormalities, kidney disease, or Joubert-spectrum neurologic findings.
3 disease-causing and 225 uncertain variants in IFT172 are linked to Bardet-Biedl syndrome.
ALMS1: Centrosome-associated protein ALMS1
It contributes to primary-cilium function, intracellular trafficking, and metabolic homeostasis in multiple tissues. Biallelic pathogenic variants cause Alstrom syndrome, which typically combines retinal degeneration, hearing loss, obesity, insulin resistance, and cardiomyopathy.
1 disease-causing and 1 uncertain variants in ALMS1 are linked to Bardet-Biedl syndrome.
CEP290: Centrosomal protein of 290 kDa
It organizes the transition zone of primary and sensory cilia and is essential for ciliary protein trafficking, especially in photoreceptors. Biallelic pathogenic variants cause a broad ciliopathy spectrum including Leber congenital amaurosis, Joubert syndrome, and nephronophthisis-related disease.
0 disease-causing and 123 uncertain variants in CEP290 are linked to Bardet-Biedl syndrome.
Weakly linked (only a few uncertain records): F8 and WDR19.
Known disease-causing variants in Bardet-Biedl syndrome
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| BBS2 R315Q | 315 | Disease-causing (★★) | |
| BBS2 R315W | 315 | Disease-causing (★★) | |
| BBS1 M1T | 1 | Disease-causing (★★) | |
| BBS1 M1I | 1 | Disease-causing (★★) | |
| BBS1 M1V | 1 | Disease-causing (★★) | |
| BBS2 P134R | 134 | Disease-causing (★★) | |
| BBS1 G318R | 318 | Disease-causing (★★) | |
| BBS2 Y317C | 317 | Disease-causing (★★) | |
| BBS1 L288R | 288 | Disease-causing (★★) | |
| BBS1 V366D | 366 | Disease-causing (★★) | |
| BBS2 V75G | 75 | Disease-causing (★★) | |
| BBS2 G81C | 81 | Disease-causing (★★) | |
| BBS2 D90G | 90 | Disease-causing (★★) | |
| BBS2 D104A | 104 | Disease-causing (★★) | |
| BBS4 M1T | 1 | Required for localization to centrosomes | Disease-causing (★★) |
| BBS4 M1V | 1 | Required for localization to centrosomes | Disease-causing (★★) |
| IFT172 T1623I | 1623 | Disease-causing (★★) | |
| BBS1 S16C | 16 | Disease-causing (★★) | |
| BBS1 R277K | 277 | Disease-causing (★★) | |
| BBS2 D174E | 174 | Disease-causing (★★) | |
| BBS1 R160Q | 160 | Disease-causing (★★) | |
| BBS1 A447T | 447 | Disease-causing (★★) | |
| BBS2 T79P | 79 | Disease-causing (★★) | |
| BBS2 N354K | 354 | Coiled coil | Disease-causing (★★) |
| IFT172 R1544C | 1544 | Disease-causing (★★) | |
| IFT172 C1727R | 1727 | Disease-causing (★★) | |
| BBS2 T27P | 27 | Disease-causing (★★) | |
| BBS1 M1L | 1 | Disease-causing (★) | |
| BBS1 I367N | 367 | Disease-causing (★) | |
| BBS4 G209E | 209 | TPR 5 | Disease-causing (★) |
| BBS4 G277V | 277 | TPR 7 | Disease-causing (★) |
| BBS4 A364E | 364 | TPR 9 | Disease-causing (★) |
| ALMS1 P1459S | 1459 | 20 | Disease-causing (★) |
| BBS1 G305S | 305 | Disease-causing (★) | |
| BBS1 S375R | 375 | Disease-causing (★) | |
| BBS4 R295P | 295 | TPR 7 | Disease-causing (★) |
| BBS1 R359P | 359 | Disease-causing (★) | |
| BBS2 L125R | 125 | Disease-causing (★) | |
| BBS2 R216P | 216 | Disease-causing (★) | |
| BBS2 F217C | 217 | Disease-causing (★) | |
| BBS2 C307R | 307 | Disease-causing (★) | |
| BBS4 A74T | 74 | TPR 1 | Disease-causing (★) |
| BBS2 V269G | 269 | Disease-causing | |
| BBS1 K565R | 565 | Disease-causing | |
| BBS2 G139V | 139 | Disease-causing | |
| BBS4 G142R | 142 | TPR 3 | Disease-causing |
| BBS4 C264F | 264 | TPR 6 | Disease-causing |
| BBS2 V510F | 510 | Disease-causing |
Which prediction tools work for Bardet-Biedl syndrome
How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).
- CADD: 96 out of 100
- REVEL: 93 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- CATVariant: 92 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- MutPred2: 91 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- phyloP: 86 out of 100
- PolyPhen-2: 84 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- SIFT: 81 out of 100
- AlphaMissense: 67 out of 100
- MetaLR: 61 out of 100 (learned from overlapping clinical labels, so this is optimistic)
Same protein, different disease
- Retinitis pigmentosa is also caused by IFT172 variants; they fall mostly in different places as the Bardet-Biedl syndrome variants (7 disease-causing).
- Short-rib thoracic dysplasia 10 with or without polydactyly is also caused by IFT172 variants; they fall mostly in different places as the Bardet-Biedl syndrome variants (6 disease-causing).
- Alstrom syndrome is also caused by ALMS1 variants; they fall mostly in different places as the Bardet-Biedl syndrome variants (4 disease-causing).
Diseases related to Bardet-Biedl syndrome
- Retinitis pigmentosa, also linked to ALMS1, BBS1, BBS2, CEP290 and 1 more
- Leber congenital amaurosis, also linked to ALMS1 and CEP290
- Monogenic diabetes, also linked to ALMS1
- Senior-Loken syndrome, also linked to CEP290
- Nephronophthisis, also linked to CEP290
- Joubert syndrome, also linked to CEP290
- CEP290-related ciliopathy, also linked to CEP290
- Short-rib thoracic dysplasia 10 with or without polydactyly, also linked to IFT172
- Alstrom syndrome, also linked to ALMS1
- BBS2-related ciliopathy, also linked to BBS2
- Meckel syndrome, also linked to CEP290
- Meckel-Gruber syndrome, also linked to CEP290
Frequently asked questions
Which genes are linked to Bardet-Biedl syndrome?
In CATVariant, Bardet-Biedl syndrome is linked to 6 analyzed proteins: BBS2 (BBSome complex member BBS2), BBS1 (BBSome complex member BBS1), BBS4 (BBSome complex member BBS4), IFT172 (Intraflagellar transport protein 172 homolog), ALMS1 (Centrosome-associated protein ALMS1) and CEP290 (Centrosomal protein of 290 kDa).
How many genetic variants are linked to Bardet-Biedl syndrome?
1,275 variants: 48 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 1,064 are of uncertain significance or have conflicting reports.
Which uncertain variants in Bardet-Biedl syndrome look disease-causing?
None of the uncertain variants currently reaches the likely-pathogenic range on computable evidence alone.
Which variant effect predictor works best for Bardet-Biedl syndrome?
Among tools not trained on clinical labels, CADD separates this disease's known disease-causing variants from harmless ones best (AUROC 0.96, based on 30 disease-causing and 167 harmless variants).
About this data
Variant–disease links come from ClinVar, Open Targets and UniProt, pooled from the latest public CATVariant analysis of each human protein. Evidence scores use the ACMG/AMP Bayesian points scale with computable criteria only (position among known disease variants, rarity in gnomAD, calibrated predictors, deep mutational scanning); there is no family or patient data, so they prioritise variants for expert review and never classify them.
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