Pediatric Nephrology

, Volume 22, Issue 10, pp 1675–1684 | Cite as

Genetic approaches to human renal agenesis/hypoplasia and dysplasia

  • Simone Sanna-Cherchi
  • Gianluca Caridi
  • Patricia L. Weng
  • Francesco Scolari
  • Francesco Perfumo
  • Ali G. Gharavi
  • Gian Marco Ghiggeri
Open Access


Congenital abnormalities of the kidney and urinary tract are frequently observed in children and represent a significant cause of morbidity and mortality. These conditions are phenotypically variable, often affecting several segments of the urinary tract simultaneously, making clinical classification and diagnosis difficult. Renal agenesis/hypoplasia and dysplasia account for a significant portion of these anomalies, and a genetic contribution to its cause is being increasingly recognized. Nevertheless, overlap between diseases and challenges in clinical diagnosis complicate studies attempting to discover new genes underlying this anomaly. Most of the insights in kidney development derive from studies in mouse models or from rare, syndromic forms of human developmental disorders of the kidney and urinary tract. The genes implicated have been shown to regulate the reciprocal induction between the ureteric bud and the metanephric mesenchyme. Strategies to find genes causing renal agenesis/hypoplasia and dysplasia vary depending on the characteristics of the study population available. The approaches range from candidate gene association or resequencing studies to traditional linkage studies, using outbred pedigrees or genetic isolates, to search for structural variation in the genome. Each of these strategies has advantages and pitfalls and some have led to significant discoveries in human disease. However, renal agenesis/hypoplasia and dysplasia still represents a challenge, both for the clinicians who attempt a precise diagnosis and for the geneticist who tries to unravel the genetic basis, and a better classification requires molecular definition to be retrospectively improved. The goal appears to be feasible with the large multicentric collaborative groups that share the same objectives and resources.


Renal agenesis/hypoplasia and dysplasia Gene mapping Linkage analysis Association studies Structural variants 

Introduction and definition

Congenital abnormalities of the kidney and urinary tract are frequently observed in the first year of life, when they collectively represent a significant cause of morbidity [1] and mortality. Data from birth defects registries [Metropolitan Atlanta Congenital Defects Program (MACDP); California Birth Defects Monitoring Program (CBDMP) [2] indicate an overall frequency from three to six per 1,000 births, and the abnormalities seriously impact life expectancy ( Human urinary tract abnormalities are phenotypically variable and may affect several segments simultaneously, often aggregating to form complex phenotypes. Hence, clinical classification and diagnosis may be difficult. As a consequence of the overlap between anatomical defects, many investigators have opted to group renal and urologic malformations under the single label of Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) [3]. This broad classification is supported by the fact that a mutation in a single gene can have pleiotropic effects on the development of the urogenital tract. For example, mutations in the PAX2 gene cause the renal-coloboma syndrome, but the clinical features of the trait vary significantly between affected individuals, ranging from renal agenesis/hypoplasia to vesicoureteral reflux (VUR) and secondary obstruction [4]. Conversely, mutations in different genes can result in similar renal phenotypes, e.g., EYA1 and PAX2 mutations both can cause the development of hypoplastic kidneys [5]. Hence, improved classification of urinary tract malformations may require understanding of primary molecular defects. A broad but clinically useful diagnostic scheme consists of classifying malformations depending on whether the kidney, the collecting system, or both are affected. This scheme stems from the fact that the upper tract (glomeruli and tubules) is derived from the metanephric mesenchyme (MM), and the lower urinary tract (collecting duct, renal pelvis, ureter) is derived from the ureteric bud [1]. Even if this is in contrast with more recent data about the reciprocal interaction between the ureteric bud and the MM (see below), this classification can be clinically useful to partition patients with different types of urinary tract abnormalities. In this review, we focus on the malformations that primarily involve a reduction of renal parenchyma in the form of renal agenesis and/or hypoplasia/dysplasia, occurring both as isolated forms or in association with other malformations of the lower urinary tract (see below).

Primary renal agenesis

Bilateral renal agenesis is a rare and fatal event, usually associated with severe oligohydramnios, which produces a characteristic clinical pattern with facial compression and pulmonary hypoplasia (Potter syndrome). An estimate of the incidence of bilateral agenesis is 0.1/1000 births. Unilateral renal agenesis is more common, although the frequency is difficult to estimate, as it is usually clinically silent and is commonly detected as a chance observation by autopsy or by prenatal ultrasound [6].

Primary renal hypoplasia and dysplasia

Strictly speaking, renal hypoplasia is defined as a small kidney, which contains intact nephrons that are reduced in number, whereas a dysplastic kidney contains disorganized elements and maldifferentiated tissue. Noninvasive imaging studies such as ultrasounds and dimercaptosuccinic acid (DMSA) scan offer limited information to help distinguish a hypoplastic kidney from a dysplastic one. Unequivocal distinction between these two entities therefore depends on histological examination of renal tissue obtained from kidney biopsy or surgical nephrectomy, which are rarely performed. A further confounding factor is the reduction of kidney size due to chronic injury and scarring from VUR. Most of the time, a DMSA scan helps differentiate primary hypoplasia or dysplasia from small kidneys secondary to VUR. However, a DMSA scan has a low negative predictive value in distinguishing primary hypoplasia or dysplasia from a secondary reduction in kidney size from VUR when scars or areas of negative isotope uptake are present. In practice, the diagnosis of primary renal hypoplasia is favored when the following criteria are satisfied: (a) a reduction of renal size by 2 standard deviations (SDS) from the mean size for the age, (b) exclusion of renal scarring by DMSA scan, and (c) a presence of compensatory hypertrophy of the contralateral kidney. In all cases, the exclusion of renal cysts by ultrasonography is mandatory to avoid confusion with primary renal hypoplasia associated with fibrosis and cysts, nephronophthisis being the most pertinent example. The presence of VUR and/or ureteropelvic junction obstruction (UPJO) does not automatically exclude the diagnosis of hypoplasia, as both conditions are frequently associated with primary renal-size defects. It is clear that this problem is difficult to resolve if the ureteral defect presents ipsilateral to renal hypoplasia. For example, severe antenatal hydronephrosis due to UPJO can determine the involution of the renal parenchyma and lead to an erroneous diagnosis of primary renal agenesis after birth. In bilateral cases, syndromic traits as well as inherited disorders such as medullary cystic kidney disease/nephronophthisis have to be excluded. Unequivocal exclusion of renal dysplasia is usually not feasible except in rare cases for which histology is available. It is possible that in the near future, molecular genetic advances could modify our present understanding and allow for a more direct separation of the two pathological entities based on laboratory tests.

These challenges in clinical diagnosis of renal hypoplasia complicate studies attempting to discover new genes underlying this anomaly. For research purposes, we utilize a tentative classification scheme for categorizing our subjects for genetic studies: (1) isolated bilateral hypoplasia/dysplasia, (2) isolated unilateral hypoplasia/dysplasia, and (3) hypoplasia/dysplasia associated with lower tract abnormalities such as VUR or UPJO. Once the genetic basis of different subsets of urinary tract malformations is identified, the classification will likely be retrospectively changed and improved.

Kidney development and mouse models

The development of mammalian kidney derives from reciprocally inductive events between two tissue compartments of the embryonic metanephros: the ureteric bud (UB), an outgrowth of the nephric duct, and the MM. The ureteric bud invades the metanephric blastema at embryonic day 10.5–11 in the mouse and 35–37 in humans. The MM induces the ureteric bud to grow and branch while the ureteric bud induces the MM to transdifferentiate and form the nephrons’ epithelia (see recent reviews in kidney development in human and mice [7, 8]).

In recent years, many factors, specific for either the UB or the MM, have been demonstrated to induce and regulate the epithelial conversion in the mesenchymal cells and the UB branching, leading to the development of the final structure and function of the kidney. Most data constituting the basis of our current knowledge on the topic are based on gene targeting studies in mice (Table 1). A partial list of genes includes protooncogenes RET and Wingless-related 11 (WNT11) that are well recognized UB-specific molecules, whereas glial cell-line-derived neurotrophic factor (GDNF), Wilms tumor 1 (WT1), and Eyes absent 1 (EYA1) represent important examples of MM-specific factors. The paired-box gene 2 (PAX2) appears to be expressed in both structures during kidney development [7, 9]. It is noteworthy that almost half of the genes on the list are transcriptional factors or encode for proteins that are involved in the mesenchymal to epithelial conversion. GDNF signaling through the RET receptor is one of the best studied pathways, representing a critical step in the normal growth and branching of the UB during kidney development [10]. Perturbation of Gdnf/Ret signaling has been shown to be the downstream mechanism underlying impaired nephrogenesis in many other mutant models (e.g., in Gdf11 and Six1 null mice). Numerous factors other than the Gdnf/Ret pathway also participate in kidney and urologic development (e.g. Wnt signaling), as evidenced by the long list of mutant mice with malformations in the kidney and urologic tract (Table 1).
Table 1

Principal genes targeted in mice leading to renal agenesis, hypoplasia, dysplasia


Human homolog

Kidney phenotype




Small, fused, undifferentiated kidneys

Hatini et al. [59]



Absent kidneys

Johnson et al. [60]

Xu et al. [61]



Absent kidneys

Miyamoto et al. [62]



Small or absent kidneys

Davis et al. [63]



Absent kidneys

Shawlot and Behringer [64]



Small or absent kidneys

Torres et al. [65]



Absent kidneys

Kreidberg et al. [66]



Multiple urinary tract malformations

Nishimura et al. [67]



Altered ureteric bud (UB) branching

Miyazaki et al. [68]



Disrupted nephrogenesis

Dudley et al. [69]



Undifferentiated kidneys

Stark et al. [70]



Absent kidneys, severe dysgenesis

Schuchardt et al. [71]



Absent kidneys, severe dysgenesis

Sanchez et al. [72]

Moore et al. [73]

Pichel et al. [74]



Absent kidneys

Xu et al. [75]



Small kidneys

Self et al. [76]



Absent kidneys

Nishinakamura et al. [77]



Absent kidneys

Poladia et al. [78]



Small or absent kidneys

Liu et al. [79]



Small or absent kidneys

Schnabel et al. [80]



Small kidneys

Perantoni et al. [81]



Small kidneys

Mendelsohn et al. [82]



Absent kidneys

Kobayashi et al. [83]

The interdependence between developmental pathways explains why defects in different genes result in similar phenotypes and why morphologic classification of abnormalities alone cannot predict the location or nature of primary defects. Available data thus suggest a large list of candidate genes for human renal and urologic malformations, highlighting the potential for genetic heterogeneity of the trait.

Genetic contribution to human renal agenesis/hypoplasia and dysplasia

A genetic contribution to the development of renal hypoplasia/dysplasia has been recognized for many years. For the isolated, nonsyndromic renal agenesis/hypoplasia and dysplasia, only segregation studies have been performed, and no loci and/or genes have been mapped so far. Much more is known about rare syndromic forms, for which several genes have been already implicated.

Syndromic forms

Syndromic forms of renal hypoplasia/dysplasia include rare disorders affecting extrarenal organs such as the eye, the central nervous system, the skin, the limbs, and others. The list of syndromes that include the renal agenesis/hypoplasia/dysplasia phenotype consists of at least 73 clinical conditions (for more details, see Limwongse and Cassidy [11]). Several genes underlying these defects having been identified (Table 2). Renal-coloboma syndrome, orofaciodigital syndrome, branchiootorenal syndrome, renal cysts and diabetes syndrome, and Fraser syndrome are the most frequent syndromes associated with renal parenchymal defects. It seems clinically relevant that the renal abnormalities may represent the first manifestation of the disease, thus requiring a detailed evaluation of other organs. A list of extrarenal signs and symptoms that clinicians should look for to define these syndromes include retinal coloboma [4], deafness, external ear abnormalities including cysts and fistulas [12, 13], anus imperforates and limb and ear anomalies [14], diabetes and renal cystic dysplasia [15], and others. Finally, renal agenesis/hypoplasia is frequently part of chromosomal disorders (Table 3) that must be recognized for genetic counseling. Most common syndromes that should be considered in the initial differential diagnosis are listed in Tables 2 and 3, and we suggest referring to popular Web sites for further details (links provided at the end).
Table 2

List of human malformation syndromes with kidney hypoplasia/dysplasia


Human syndrome

Kidney phenotype



Alagille syndrome

MCDK, kidney dysplasia, kidney mesangiolipidosis




Bardet-Biedl syndrome

Renal dysplasia and calyceal malformations



Branchiootorenal syndrome

Renal agenesis/dysplasia



Campomelic dysplasia

Diverse renal malformations



CHARGE syndrome

Diverse urinary tract malformations


Del. 22q11

Di George syndrome

Renal agenesis, dysplasia, VUR



Hypothyroidism, sensorial deafness, renal anomalies (HDR)

Renal agenesis, dysplasia, VUR


DNA repair

Fanconi anemia

Renal agenesis



Fraser syndrome

Renal agenesis, dysplasia



Kallman’s syndrome

Renal agenesis, dysplasia

#308700, #147950


Renal coloboma syndrome

Renal hypoplasia, MCDK, VUR



Renal cysts and diabetes syndrome

Renal dysplasia, cysts



Simpson-Golabi-Behmel syndrome

Renal dysplasia, cysts



Smith-Lemli-Opitz syndrome

Renal dysplasia, cysts



Townes-Brocks syndrome

Renal dysplasia, lower urinary tract malformations



Nail-patella syndrome

Glomerulus malformation, renal agenesis



Cornelia de Lange syndrome

Renal dysplasia



Rubinstein-Taybi syndrome

Renal agenesis



Rokitansky syndrome

Renal agenesis



Zellweger syndrome

Renal dysplasia, cysts



Pallister-Hall syndrome

Renal agenesis, dysplasia



Beckwith-Wiedemann syndrome

Renal dysplasia



Okihiro syndrome

Renal ectopia with or without fusion, lower urinary tract malformations



Ulnar-Mammary syndrome

Renal agenesis


MCDK multicystic dysplastic kidney, VUR vesicoureteral reflux

Table 3

Common chromosomal disorders associated with urinary tract anomalies

Chromosomal disorders

Renal agenesis


Other associated anomalies

Patau syndrome (trisomy 13)



Holoprosencephaly, midline anomalies, cleft lip/palate

Miller-Dieker syndrome (17p13 deletion)



MR, lissencephaly, microgyria, agyria, typical facie, seizures

Edward syndrome (trisomy 18) 18q deletion



IUGR, CHD, clenched hands, rocker bottom feet SS, MR, microcephaly, narrow external ear canals, long hands

Down syndrome (trisomy 21)



MR, hypotonia, CHD, typical face, clinodactyly

Cateye syndrome (tetrasomy 22p)



MR, CHD, colobomas, anal/digital anomalies

Velocardiofacial syndrome (22q11 deletion)



Conotruncal CHD, thymic aplasia, typical face, cleft palate

Turner syndrome (45,X or 46,X,i(Xq))



SS, amenorrhea, webbed neck, cubitus valgus, hypogonadism

MR mental retardation, IUGR intrauterine growth retardation, CHD congenital heart disease, SS short stature

Nonsyndromic forms

It is well known that nonsyndromic renal malformations may occur as hereditary traits and can present with familial aggregation. Evidence in favor of a genetic determination of the disease is raised by an increased recurrence risk among first-degree relatives and by several reports of familial occurrence of multiple malformations, including renal agenesis/hypoplasia and dysplasia. The relative recurrence risk of bilateral and unilateral agenesis has been estimated at 4–9% [6, 16, 17]. For familial cases, in most of the pedigrees, the suggested mode of inheritance was autosomal dominant with reduced penetrance, estimated to range between 50% and 90% [16]. For example, a large pedigree with an autosomal dominant mode form of nonsyndromic renal hypoplasia and dysplasia has recently been described [18]. However, a Somalian kindred in which the trait was segregating in an autosomal recessive fashion has been reported [19]. Nevertheless, until recently, no linkage studies in familial renal agenesis/hypoplasia and dysplasia have been reported. Incomplete penetrance, variable expression and the fact that anatomical defects in many family members can be clinically silent, complicate recruitment of large pedigrees that would be suitable for linkage analysis.

Strategies for gene discovery

Strategies to find genes causing renal agenesis/hypoplasia and dysplasia vary significantly depending on the characteristics of the study population available. Different data sets of patients have potential advantages and possible pitfalls.

Candidate gene studies

So far, candidate gene studies have been the only alternative to linkage analysis to find genes underlying both Mendelian and complex traits. Such studies have identified many genes causing rare genetic diseases [20] (The Human Gene Mutation Database, and most of the genes that are known contribute to susceptibility to common diseases [21, 22]. Large cohorts of sporadic cases or small pedigrees can be utilized in case-control association studies to find common disease associated alleles. Such cohorts can also be screened by resequencing of candidate genes to detect rare variants with large effects that account for disease in a small proportion of the patients. Selection of one approach over the other depends on the expected degree of genetic and allelic heterogeneity of the trait under investigation. Genetic heterogeneity refers to the situation where mutations in different genes account for disease in different affected individuals. Allelic heterogeneity refers to the presence of many independent mutations in a given gene. For a trait with high locus and allelic heterogeneity, the search for common disease-contributing alleles is problematic, and resources would be better directed toward comprehensive resequencing of candidate genes to discovery the rare disease-causing variants. In practice, the heterogeneity parameters are difficult to predict a priori. The resequencing approach has been successfully applied to find several genes causing kidney developmental disorders. As an example, mutations in the uroplakin III gene, which produce VUR in mice [23], explain a small fraction of human renal hypodysplasia [24, 25, 26, 27, 28]. Similarly, results from the ESCAPE study recently provided the first comprehensive analysis of renal developmental genes in children affected by nonsyndromic renal hypodysplasia, showing a fairly high prevalence of PAX2 and TCF2 mutations [5, 29]. Another success of the candidate gene approach is the latest discovery of mutations in genes of the renin-angiotensin system (RAS) in severe forms of renal tubular dysgenesis [30]. The search for common variants predisposing to nonsyndromic renal hypodysplasia has not been frequently applied. However, these common predisposing alleles may not be recognized until a comprehensive search is undertaken. As an example, a common noncoding variant in a RET enhancer has recently been shown to be a strong risk allele for Hirschsprung disease, explaining the paucity of coding mutations found in families showing linkage to the RET locus [31].

Traditional linkage studies and genetic isolates

The genome-wide linkage analysis/positional cloning approach is a time-tested method used to identify disease-causing mutations, and it has been extremely successful in the past few decades for mapping genes that underlie monogenic Mendelian diseases [32, 33]. This approach hinges on availability of single, uniquely large pedigrees that segregate genes with large effect or a large number of small-sized pedigrees. Mutations in genes underlying Mendelian forms of disease usually account for a fraction of sporadic forms (e.g. PAX2 and TCF2).

For renal agenesis/hypoplasia and dysplasia, large pedigrees amenable for linkage analysis are very difficult to ascertain because these traits have incomplete penetrance (due to genetic and environmental modifiers). Moreover, many malformations, such as unilateral agenesis can be clinically silent and will not be detected without systematic screening of family members. As for candidate gene studies, locus heterogeneity is another potentially complicating factor that may dilute the power of linkage studies. Our previous data demonstrated that in the setting of reduced penetrance, variable expressivity, and very high genetic heterogeneity, approaches based on a limited number of uniquely large pedigrees or a very large number of medium-sized kindreds, are more likely to be successful to map a disease gene [34]. As a result of these difficulties, no linkage studies of renal agenesis/hypoplasia have been published so far. These kinds of patient cohorts are very arduous to collect and require multicenter collaborative efforts. We have been able to collect seven multigenerational extended pedigrees segregating congenital anomalies of the kidney and urinary tract, including renal agenesis/hypoplasia, as an autosomal dominant trait with reduced penetrance trait. These families allowed us to localize a gene for this trait to a ~7 Mb interval to chromosome 1p32–33 in a setting of genetic heterogeneity [35]. This work represents the first step toward the discovery of a new gene and, possibly, a new pathway, in kidney development.

Genetic isolates represent a population structure that can greatly facilitate gene identification efforts. The genetic isolates are populations that are originated from a limited group of founders with little subsequent immigration into the population. Without an inflow of genes, a long period of time would be required for spontaneous mutations to rebuild genetic diversity. Therefore, genetic isolates are likely to harbor few disease-contributing alleles that have been inherited identical by descent from common ancestors [36, 37, 38]. These ancestral mutations can be detected by searching for a shared haplotype signature in affected individuals, representing a powerful shortcut to narrow down a linkage interval to a handful of genes. This strategy, called linkage disequilibrium (LD) mapping, has allowed the identification of several genes for Mendelian disorders [39, 40, 41]. Hence, the advantages of studying a genetic isolate rely on: (a) a higher prevalence of certain diseases, allowing traits with reduced penetrance to express and show their hereditary component, (b) a more uniform genetic background, thus reducing the genetic heterogeneity, (c) usually good genealogical records, (d) a more uniform environment, and (e) the possibility of speeding up gene discovery through linkage disequilibrium mapping. We have recently characterized a genetic isolate in an Italian valley, in which different glomerular diseases occurred at a much higher prevalence compared with the general population, in apparently unrelated individuals. The genealogical reconstruction allowed us to reconnect most of the patients to a few founders up to the sixteenth century [42]. This study is an example of how an isolate can allow traits that display reduced penetrance and variable expressivity to express their genetic component and represent a first step to find genes causing or predisposing to such diseases. Further investigation of recognized population isolates for developmental disorders, especially renal agenesis/hypoplasia and dysplasia, might help to accelerate gene mapping.

Genome-wide association studies

The genome-wide association study is an approach aimed at exhaustively covering the genome to look for causative variants. Similar to genome-wide linkage studies, no assumptions are made about either the location of the causative variant or the biological role of the disease gene. Therefore, this approach represents an unbiased method to find disease-causing genes, with also a very high probability of discovering new genes, thus unraveling new pathophysiological pathways. Genome-wide association studies were not feasible until now because of the lack of information about the variability in the human genome and lack of low-cost, high-throughput genotyping technology. This situation has changed in the past 2 years: dbSNP ( now contains about 5 million SNPs, including most of the SNPs with a minor allele frequency higher than 1% estimated to exist in the human genome [43]. Moreover, the HapMap project [44] represents a fundamental advance to performing efficient and successful genome-wide studies through the determination of LD patterns and haplotype blocks across the genome. Another important step has been the tremendous improvement in genotyping technology, with the development of platforms for fast, high-throughput, low-cost SNPs genotyping. Such platforms allow the simultaneous genotyping of 100–500,000 SNPs in a single assay, allowing a dense coverage of the human genome [45, 46]. Some examples of success of this approach have been recently published. For example, genome-wide association studies on patients affected by age-related macular degeneration allowed the individuation of a common variant in the complement factor H as a major risk-associated allele [47, 48]. Similarly, polymorphisms in the transcription factor TCF7L2 have been found to confer risk to type 2 diabetes in different populations [49, 50]. Whether genome-wide association studies will lead to significant discoveries in renal agenesis/hypoplasia and dysplasia is still unclear, but certainly, this approach represents a very promising strategy to identify common variants conferring susceptibility to more frequent, complex traits.

Search for structural variations in the genome

A number of urogenital malformations are associated with chromosomal abnormalities. For example, a deletion on chromosome 10q26 has been implicated in urogenital development [51]. Similarly, two distinct loci for renal malformations, including VUR, have been mapped to chromosome 13q by deletion mapping using microsatellites in a limited number of affected individuals [52, 53]. Advances in technology, mainly, genome-scanning array technologies and comparative DNA-sequence analyses, have identified a high prevalence of DNA variations that involve segments that are smaller than those recognized by standard cytogenetics techniques [54]. These structural variations are a common feature of our genomic landscape, encompassing deletions, duplications, inversions, and translocations, which range from a few bases up to hundreds of kilobases. These rearrangements comprise benign polymorphisms, as well as deleterious mutations that can disrupt gene structure or affect gene regulation. Newer techniques now allow for the identification of structural variation at the genome-wide level, enabling examination of single patients to rapidly define a chromosomal region (locus) of interest. Several studies have already reported structural variations associated to human disease, leading in some cases to a molecular definition of a disorder before a recognized clinical syndrome [55, 56, 57].

These technologies have also been already successfully applied to developmental disorders. A genome-wide search for structural variations using comparative genomic hybridization (CGH) array allowed the discovery of the gene CHD7 as a cause of CHARGE syndrome, a rare, complex disorder in which congenital anomalies affect in a nonrandom fashion several tissues, including the urinary tract [58]. Careful clinical selection of patients and application of genome-wide methods for searching structural variation in renal agenesis/hypoplasia and dysplasia can help find new loci linked to the disease, confirm and narrow loci obtained by linkage analysis, and speed up the discovery of causative genes.


Renal agenesis/hypoplasia and dysplasia still represents a challenge for both the clinicians who attempt a precise diagnosis and for the geneticists who try to unravel the genetic basis. Genetic and clinical approaches are now converging toward a common goal, which is the discovery of genetic markers, to make the diagnosis of this trait easier. The final objective is to improve classification, to make a reliable prognosis, and to attempt prevention. Based on advances from the last few years, the goal appears to be more feasible with large multicentric collaborative groups that share the same objectives and resources.



  1. 1.
    Woolf AS (2000) A molecular and genetic view of human renal and urinary tract malformations. Kidney Int 58:500–512PubMedCrossRefGoogle Scholar
  2. 2.
    Schulman J, Edmonds LD, McClearn AB, Jensvold N, Shaw GM (1993) Surveillance for and comparison of birth defect prevalences in two geographic areas-United States, 1983–88. MMWR CDC Surveill Summ 42:1–7PubMedGoogle Scholar
  3. 3.
    Pope JC 4th, Brock JW 3rd, Adams MC, Stephens FD, Ichikawa I (1999) How they begin and how they end: classic and new theories for the development and deterioration of congenital anomalies of the kidney and urinary tract, CAKUT. J Am Soc Nephrol 10:2018–2028PubMedGoogle Scholar
  4. 4.
    Eccles MR, Schimmenti LA (1999) Renal-coloboma syndrome: a multi-system developmental disorder caused by PAX2 mutations. Clin Genet 56:1–9PubMedCrossRefGoogle Scholar
  5. 5.
    Weber S, Moriniere V, Knuppel T, Charbit M, Dusek J, Ghiggeri GM, Jankauskiene A, Mir S, Montini G, Peco-Antic A, Wuhl E, Zurowska AM, Mehls O, Antignac C, Schaefer F, Salomon R (2006) Prevalence of mutations in renal developmental genes in children with renal hypodysplasia: results of the ESCAPE Study. J Am Soc Nephrol 17:2864–2870PubMedCrossRefGoogle Scholar
  6. 6.
    Carter CO, Evans K, Pescia G (1979) A family study of renal agenesis. J Med Genet 16:176–188PubMedCrossRefGoogle Scholar
  7. 7.
    Vainio S, Lin Y (2002) Coordinating early kidney development: lessons from gene targeting. Nat Rev Genet 3:533–543PubMedCrossRefGoogle Scholar
  8. 8.
    Woolf AS (2004) Embryology. In: Pediatric nephrology, 5th edn. Lippincott Williams & Wilkins, Philadelphia, pp 3–24Google Scholar
  9. 9.
    Majumdar A, Vainio S, Kispert A, McMahon J, McMahon AP (2003) Wnt11 and Ret/Gdnf pathways cooperate in regulating ureteric branching during metanephric kidney development. Development 130:3175–3185PubMedCrossRefGoogle Scholar
  10. 10.
    Costantini F, Shakya R (2006) GDNF/Ret signaling and the development of the kidney. Bioessays 28:117–127PubMedCrossRefGoogle Scholar
  11. 11.
    Limwongse C, Clarren SK, Cassidy SB (2004) Syndromes and malformations of the urinary tract. In Barratt TM, Avner ED, Harmon WE (eds) Pediatric Nephrology. Philadelphia, USA, pp 93–121Google Scholar
  12. 12.
    Abdelhak S, Kalatzis V, Heilig R, Compain S, Samson D, Vincent C, Weil D, Cruaud C, Sahly I, Leibovici M, Bitner-Glindzicz M, Francis M, Lacombe D, Vigneron J, Charachon R, Boven K, Bedbeder P, Van Regemorter N, Weissenbach J, Petit C (1997) A human homologue of the Drosophila eyes absent gene underlies branchio-oto-renal (BOR) syndrome and identifies a novel gene family. Nat Genet 15:157–164PubMedCrossRefGoogle Scholar
  13. 13.
    Ruf RG, Xu PX, Silvius D, Otto EA, Beekmann F, Muerb UT, Kumar S, Neuhaus TJ, Kemper MJ, Raymond RM Jr, Brophy PD, Berkman J, Gattas M, Hyland V, Ruf EM, Schwartz C, Chang EH, Smith RJ, Stratakis CA, Weil D, Petit C, Hildebrandt F (2004) SIX1 mutations cause branchio-oto-renal syndrome by disruption of EYA1-SIX1-DNA complexes. Proc Natl Acad Sci U S A 101:8090–8095PubMedCrossRefGoogle Scholar
  14. 14.
    Kohlhase J, Wischermann A, Reichenbach H, Froster U, Engel W (1998) Mutations in the SALL1 putative transcription factor gene cause Townes-Brocks syndrome. Nat Genet 18:81–83PubMedCrossRefGoogle Scholar
  15. 15.
    Bingham C, Bulman MP, Ellard S, Allen LI, Lipkin GW, Hoff WG, Woolf AS, Rizzoni G, Novelli G, Nicholls AJ, Hattersley AT (2001) Mutations in the hepatocyte nuclear factor-1beta gene are associated with familial hypoplastic glomerulocystic kidney disease. Am J Hum Genet 68:219–224PubMedCrossRefGoogle Scholar
  16. 16.
    McPherson E, Carey J, Kramer A, Hall JG, Pauli RM, Schimke RN, Tasin MH (1987) Dominantly inherited renal adysplasia. Am J Med Genet 26:863–872PubMedCrossRefGoogle Scholar
  17. 17.
    Roodhooft AM, Birnholz JC, Holmes LB (1984) Familial nature of congenital absence and severe dysgenesis of both kidneys. N Engl J Med 310:1341–1345PubMedCrossRefGoogle Scholar
  18. 18.
    Kerecuk L, Sajoo A, McGregor L, Berg J, Haq MR, Sebire NJ, Bingham C, Edghill EL, Ellard S, Taylor J, Rigden S, Flinter FA, Woolf AS (2007) Autosomal dominant inheritance of non-syndromic renal hypoplasia and dysplasia: dramatic variation in clinical severity in a single kindred. Nephrol Dial Transplant 22:259–263PubMedCrossRefGoogle Scholar
  19. 19.
    Pasch A, Hoefele J, Grimminger H, Hacker HW, Hildebrandt F (2004) Multiple urinary tract malformations with likely recessive inheritance in a large Somalian kindred. Nephrol Dial Transplant 19:3172–3175PubMedCrossRefGoogle Scholar
  20. 20.
    Stenson PD, Ball EV, Mort M, Phillips AD, Shiel JA, Thomas NS, Abeysinghe S, Krawczak M, Cooper DN (2003) Human Gene Mutation Database (HGMD): 2003 update. Hum Mutat 21:577–581PubMedCrossRefGoogle Scholar
  21. 21.
    Cardon LR, Bell JI (2001) Association study designs for complex diseases. Nat Rev Genet 2:91–99PubMedCrossRefGoogle Scholar
  22. 22.
    Tabor HK, Risch NJ, Myers RM (2002) Opinion: candidate-gene approaches for studying complex genetic traits: practical considerations. Nat Rev Genet 3:391–397PubMedCrossRefGoogle Scholar
  23. 23.
    Hu P, Deng FM, Liang FX, Hu CM, Auerbach AB, Shapiro E, Wu XR, Kachar B, Sun TT (2000) Ablation of uroplakin III gene results in small urothelial plaques, urothelial leakage, and vesicoureteral reflux. J Cell Biol 151:961–972PubMedCrossRefGoogle Scholar
  24. 24.
    Giltay JC, van de Meerakker J, van Amstel HK, de Jong TP (2004) No pathogenic mutations in the uroplakin III gene of 25 patients with primary vesicoureteral reflux. J Urol 171:931–932PubMedCrossRefGoogle Scholar
  25. 25.
    Jenkins D, Bitner-Glindzicz M, Malcolm S, Hu CC, Allison J, Winyard PJ, Gullett AM, Thomas DF, Belk RA, Feather SA, Sun TT, Woolf AS (2005) De novo Uroplakin IIIa heterozygous mutations cause human renal adysplasia leading to severe kidney failure. J Am Soc Nephrol 16:2141–2149PubMedCrossRefGoogle Scholar
  26. 26.
    Jiang S, Gitlin J, Deng FM, Liang FX, Lee A, Atala A, Bauer SB, Ehrlich GD, Feather SA, Goldberg JD, Goodship JA, Goodship TH, Hermanns M, Hu FZ, Jones KE, Malcolm S, Mendelsohn C, Preston RA, Retik AB, Schneck FX, Wright V, Ye XY, Woolf AS, Wu XR, Ostrer H, Shapiro E, Yu J, Sun TT (2004) Lack of major involvement of human uroplakin genes in vesicoureteral reflux: implications for disease heterogeneity. Kidney Int 66:10–19PubMedCrossRefGoogle Scholar
  27. 27.
    Kelly H, Ennis S, Yoneda A, Bermingham C, Shields DC, Molony C, Green AJ, Puri P, Barton DE (2005) Uroplakin III is not a major candidate gene for primary vesicoureteral reflux. Eur J Hum Genet 13:500–502PubMedCrossRefGoogle Scholar
  28. 28.
    Schonfelder EM, Knuppel T, Tasic V, Miljkovic P, Konrad M, Wuhl E, Antignac C, Bakkaloglu A, Schaefer F, Weber S (2006) Mutations in Uroplakin IIIA are a rare cause of renal hypodysplasia in humans. Am J Kidney Dis 47:1004–1012PubMedCrossRefGoogle Scholar
  29. 29.
    Woolf AS (2006) Renal hypoplasia and dysplasia: starting to put the puzzle together. J Am Soc Nephrol 17:2647–2649PubMedCrossRefGoogle Scholar
  30. 30.
    Gribouval O, Gonzales M, Neuhaus T, Aziza J, Bieth E, Laurent N, Bouton JM, Feuillet F, Makni S, Ben Amar H, Laube G, Delezoide AL, Bouvier R, Dijoud F, Ollagnon-Roman E, Roume J, Joubert M, Antignac C, Gubler MC (2005) Mutations in genes in the renin-angiotensin system are associated with autosomal recessive renal tubular dysgenesis. Nat Genet 37:964–968PubMedCrossRefGoogle Scholar
  31. 31.
    Emison ES, McCallion AS, Kashuk CS, Bush RT, Grice E, Lin S, Portnoy ME, Cutler DJ, Green ED, Chakravarti A (2005) A common sex-dependent mutation in a RET enhancer underlies Hirschsprung disease risk. Nature 434:857–863PubMedCrossRefGoogle Scholar
  32. 32.
    Hirschhorn JN, Daly MJ (2005) Genome-wide association studies for common diseases and complex traits. Nat Rev Genet 6:95–108PubMedCrossRefGoogle Scholar
  33. 33.
    Jimenez-Sanchez G, Childs B, Valle D (2001) Human disease genes. Nature 409:853–855PubMedCrossRefGoogle Scholar
  34. 34.
    Sanna-Cherchi S, Reese A, Hensle T, Caridi G, Izzi C, Kim YY, Konka A, Murer L, Scolari F, Ravazzolo R, Ghiggeri GM, Gharavi AG (2005) Familial vesicoureteral reflux: testing replication of linkage in seven new multigenerational kindreds. J Am Soc Nephrol 16:1781–1787PubMedCrossRefGoogle Scholar
  35. 35.
    Sanna-Cherchi S, Caridi G, Weng PL, Dagnino M, Seri M, Konka A, Somenzi D, Carrea A, Izzi C, Casu D, Allegri L, Schmidt-Ott KM, Barasch J, Scolari F, Ravazzolo R, Ghiggeri GM, Gharavi AG (2007) Localization of a gene for nonsyndromic renal hypodysplasia to chromosome 1p32–33. Am J Hum Genet 80:539–549PubMedCrossRefGoogle Scholar
  36. 36.
    Kittles RA, Perola M, Peltonen L, Bergen AW, Aragon RA, Virkkunen M, Linnoila M, Goldman D, Long JC (1998) Dual origins of Finns revealed by Y chromosome haplotype variation. Am J Hum Genet 62:1171–1179PubMedCrossRefGoogle Scholar
  37. 37.
    Sajantila A, Salem AH, Savolainen P, Bauer K, Gierig C, Paabo S (1996) Paternal and maternal DNA lineages reveal a bottleneck in the founding of the Finnish population. Proc Natl Acad Sci USA 93:12035–12039PubMedCrossRefGoogle Scholar
  38. 38.
    Peltonen L, Palotie A, Lange K (2000) Use of population isolates for mapping complex traits. Nat Rev Genet 1:182–190PubMedCrossRefGoogle Scholar
  39. 39.
    Gianfrancesco F, Esposito T, Ombra MN, Forabosco P, Maninchedda G, Fattorini M, Casula S, Vaccargiu S, Casu G, Cardia F, Deiana I, Melis P, Falchi M, Pirastu M (2003) Identification of a novel gene and a common variant associated with uric acid nephrolithiasis in a Sardinian genetic isolate. Am J Hum Genet 72:1479–1491PubMedCrossRefGoogle Scholar
  40. 40.
    Houwen RH, Baharloo S, Blankenship K, Raeymaekers P, Juyn J, Sandkuijl LA, Freimer NB (1994) Genome screening by searching for shared segments: mapping a gene for benign recurrent intrahepatic cholestasis. Nat Genet 8:380–386PubMedCrossRefGoogle Scholar
  41. 41.
    Nikali K, Suomalainen A, Terwilliger J, Koskinen T, Weissenbach J, Peltonen L (1995) Random search for shared chromosomal regions in four affected individuals: the assignment of a new hereditary ataxia locus. Am J Hum Genet 56:1088–1095PubMedGoogle Scholar
  42. 42.
    Izzi C, Sanna-Cherchi S, Prati E, Belleri R, Remedio A, Tardanico R, Foramitti M, Guerini S, Viola BF, Movilli E, Beerman I, Lifton R, Leone L, Gharavi A, Scolari F (2006) Familial aggregation of primary glomerulonephritis in an Italian population isolate: Valtrompia study. Kidney Int 69:1033–1040PubMedCrossRefGoogle Scholar
  43. 43.
    Kruglyak L, Nickerson DA (2001) Variation is the spice of life. Nat Genet 27:234–236PubMedCrossRefGoogle Scholar
  44. 44.
    The International HapMap Consortium (2003) The International HapMap Project. Nature 426:789–796CrossRefGoogle Scholar
  45. 45.
    Syvanen AC (2001) Accessing genetic variation: genotyping single nucleotide polymorphisms. Nat Rev Genet 2:930–942PubMedCrossRefGoogle Scholar
  46. 46.
    Seal JL, Gornick MC, Gogtay N, Shaw P, Greenstein DK, Coffey M, Gochman PA, Stromberg T, Chen Z, Merriman B, Nelson SF, Brooks J, Arepalli S, Wavrant-De Vrieze F, Hardy J, Rapoport JL, Addington AM (2006) Segmental uniparental isodisomy on 5q32-qter in a patient with childhood-onset schizophrenia. J Med Genet 43:887–892PubMedCrossRefGoogle Scholar
  47. 47.
    Daiger SP (2005) Genetics. Was the Human Genome Project worth the effort? Science 308:362–364PubMedCrossRefGoogle Scholar
  48. 48.
    Klein RJ, Zeiss C, Chew EY, Tsai JY, Sackler RS, Haynes C, Henning AK, SanGiovanni JP, Mane SM, Mayne ST, Bracken MB, Ferris FL, Ott J, Barnstable C, Hoh J (2005) Complement factor H polymorphism in age-related macular degeneration. Science 308:385–389PubMedCrossRefGoogle Scholar
  49. 49.
    Grant SF, Thorleifsson G, Reynisdottir I, Benediktsson R, Manolescu A, Sainz J, Helgason A, Stefansson H, Emilsson V, Helgadottir A, Styrkarsdottir U, Magnusson KP, Walters GB, Palsdottir E, Jonsdottir T, Gudmundsdottir T, Gylfason A, Saemundsdottir J, Wilensky RL, Reilly MP, Rader DJ, Bagger Y, Christiansen C, Gudnason V, Sigurdsson G, Thorsteinsdottir U, Gulcher JR, Kong A, Stefansson K (2006) Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nat Genet 38:320–323PubMedCrossRefGoogle Scholar
  50. 50.
    Groves CJ, Zeggini E, Minton J, Frayling TM, Weedon MN, Rayner NW, Hitman GA, Walker M, Wiltshire S, Hattersley AT, McCarthy MI (2006) Association analysis of 6,736 U.K. subjects provides replication and confirms TCF7L2 as a type 2 diabetes susceptibility gene with a substantial effect on individual risk. Diabetes 55:2640–2644PubMedCrossRefGoogle Scholar
  51. 51.
    Ogata T, Muroya K, Sasagawa I, Kosho T, Wakui K, Sakazume S, Ito K, Matsuo N, Ohashi H, Nagai T (2000) Genetic evidence for a novel gene(s) involved in urogenital development on 10q26. Kidney Int 58:2281–2290PubMedCrossRefGoogle Scholar
  52. 52.
    Vats AN, Ishwad C, Vats KR, Moritz M, Ellis D, Mueller C, Surti U, Parizhskaya MZ, Meza MP, Burke L, Schneck FX, Saxena M, Ferrell R (2003) Steroid-resistant nephrotic syndrome and congenital anomalies of kidneys: evidence of locus on chromosome 13q. Kidney Int 64:17–24PubMedCrossRefGoogle Scholar
  53. 53.
    Vats KR, Ishwad C, Singla I, Vats A, Ferrell R, Ellis D, Moritz M, Surti U, Jayakar P, Frederick DR, Vats AN (2006) A locus for renal malformations including vesico-ureteric reflux on chromosome 13q33–34. J Am Soc Nephrol 17:1158–1167PubMedCrossRefGoogle Scholar
  54. 54.
    Feuk L, Carson AR, Scherer SW (2006) Structural variation in the human genome. Nat Rev Genet 7:85–97PubMedCrossRefGoogle Scholar
  55. 55.
    Koolen DA, Vissers LE, Pfundt R, de Leeuw N, Knight SJ, Regan R, Kooy RF, Reyniers E, Romano C, Fichera M, Schinzel A, Baumer A, Anderlid BM, Schoumans J, Knoers NV, van Kessel AG, Sistermans EA, Veltman JA, Brunner HG, de Vries BB (2006) A new chromosome 17q21.31 microdeletion syndrome associated with a common inversion polymorphism. Nat Genet 38:999–1001PubMedCrossRefGoogle Scholar
  56. 56.
    Sharp AJ, Hansen S, Selzer RR, Cheng Z, Regan R, Hurst JA, Stewart H, Price SM, Blair E, Hennekam RC, Fitzpatrick CA, Segraves R, Richmond TA, Guiver C, Albertson DG, Pinkel D, Eis PS, Schwartz S, Knight SJ, Eichler EE (2006) Discovery of previously unidentified genomic disorders from the duplication architecture of the human genome. Nat Genet 38:1038–1042PubMedCrossRefGoogle Scholar
  57. 57.
    Shaw-Smith C, Pittman AM, Willatt L, Martin H, Rickman L, Gribble S, Curley R, Cumming S, Dunn C, Kalaitzopoulos D, Porter K, Prigmore E, Krepischi-Santos AC, Varela MC, Koiffmann CP, Lees AJ, Rosenberg C, Firth HV, de Silva R, Carter NP (2006) Microdeletion encompassing MAPT at chromosome 17q21.3 is associated with developmental delay and learning disability. Nat Genet 38:1032–1037PubMedCrossRefGoogle Scholar
  58. 58.
    Vissers LE, van Ravenswaaij CM, Admiraal R, Hurst JA, de Vries BB, Janssen IM, van der Vliet WA, Huys EH, de Jong PJ, Hamel BC, Schoenmakers EF, Brunner HG, Veltman JA, van Kessel AG (2004) Mutations in a new member of the chromodomain gene family cause CHARGE syndrome. Nat Genet 36:955–957PubMedCrossRefGoogle Scholar
  59. 59.
    Hatini V, Huh SO, Herzlinger D, Soares VC, Lai E (1996) Essential role of stromal mesenchyme in kidney morphogenesis revealed by targeted disruption of Winged Helix transcription factor BF-2. Genes Dev 10:1467–1478PubMedCrossRefGoogle Scholar
  60. 60.
    Johnson KR, Cook SA, Erway LC, Matthews AN, Sanford LP, Paradies NE, Friedman RA (1999) Inner ear and kidney anomalies caused by IAP insertion in an intron of the Eya1 gene in a mouse model of BOR syndrome. Hum Mol Genet 8:645–653PubMedCrossRefGoogle Scholar
  61. 61.
    Xu PX, Adams J, Peters H, Brown MC, Heaney S, Maas R (1999) Eya1-deficient mice lack ears and kidneys and show abnormal apoptosis of organ primordia. Nat Genet 23:113–117PubMedCrossRefGoogle Scholar
  62. 62.
    Miyamoto N, Yoshida M, Kuratani S, Matsuo I, Aizawa S (1997) Defects of urogenital development in mice lacking Emx2. Development 124:1653–1664PubMedGoogle Scholar
  63. 63.
    Davis AP, Witte DP, Hsieh-Li HM, Potter SS, Capecchi MR (1995) Absence of radius and ulna in mice lacking hoxa-11 and hoxd-11. Nature 375:791–795PubMedCrossRefGoogle Scholar
  64. 64.
    Shawlot W, Behringer RR (1995) Requirement for Lim1 in head-organizer function. Nature 374:425–430PubMedCrossRefGoogle Scholar
  65. 65.
    Torres M, Gomez-Pardo E, Dressler GR, Gruss P (1995) Pax-2 controls multiple steps of urogenital development. Development 121:4057–4065PubMedGoogle Scholar
  66. 66.
    Kreidberg JA, Sariola H, Loring JM, Maeda M, Pelletier J, Housman D, Jaenisch R (1993) WT-1 is required for early kidney development. Cell 74:679–691PubMedCrossRefGoogle Scholar
  67. 67.
    Nishimura H, Yerkes E, Hohenfellner K, Miyazaki Y, Ma J, Hunley TE, Yoshida H, Ichiki T, Threadgill D, Phillips JA 3rd, Hogan BM, Fogo A, Brock JW 3rd, Inagami T, Ichikawa I (1999) Role of the angiotensin type 2 receptor gene in congenital anomalies of the kidney and urinary tract, CAKUT, of mice and men. Mol Cell 3:1–10PubMedCrossRefGoogle Scholar
  68. 68.
    Miyazaki Y, Oshima K, Fogo A, Hogan BL, Ichikawa I (2000) Bone morphogenetic protein 4 regulates the budding site and elongation of the mouse ureter. J Clin Invest 105:863–873PubMedCrossRefGoogle Scholar
  69. 69.
    Dudley AT, Lyons KM, Robertson EJ (1995) A requirement for bone morphogenetic protein-7 during development of the mammalian kidney and eye. Genes Dev 9:2795–2807PubMedCrossRefGoogle Scholar
  70. 70.
    Stark K, Vainio S, Vassileva G, McMahon AP (1994) Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4. Nature 372:679–683PubMedCrossRefGoogle Scholar
  71. 71.
    Schuchardt A, D’Agati V, Larsson-Blomberg L, Costantini F, Pachnis V (1994) Defects in the kidney and enteric nervous system of mice lacking the tyrosine kinase receptor Ret. Nature 367:380–383PubMedCrossRefGoogle Scholar
  72. 72.
    Sanchez MP, Silos-Santiago I, Frisen J, He B, Lira SA, Barbacid M (1996) Renal agenesis and the absence of enteric neurons in mice lacking GDNF. Nature 382:70–73PubMedCrossRefGoogle Scholar
  73. 73.
    Moore MW, Klein RD, Farinas I, Sauer H, Armanini M, Phillips H, Reichardt LF, Ryan AM, Carver-Moore K, Rosenthal A (1996) Renal and neuronal abnormalities in mice lacking GDNF. Nature 382:76–79PubMedCrossRefGoogle Scholar
  74. 74.
    Pichel JG, Shen L, Sheng HZ, Granholm AC, Drago J, Grinberg A, Lee EJ, Huang SP, Saarma M, Hoffer BJ, Sariola H, Westphal H (1996) Defects in enteric innervation and kidney development in mice lacking GDNF. Nature 382:73–76PubMedCrossRefGoogle Scholar
  75. 75.
    Xu PX, Zheng W, Huang L, Maire P, Laclef C, Silvius D (2003) Six1 is required for the early organogenesis of mammalian kidney. Development 130:3085–3094PubMedCrossRefGoogle Scholar
  76. 76.
    Self M, Lagutin OV, Bowling B, Hendrix J, Cai Y, Dressler GR, Oliver G (2006) Six2 is required for suppression of nephrogenesis and progenitor renewal in the developing kidney. EMBO J 25:5214–5228PubMedCrossRefGoogle Scholar
  77. 77.
    Nishinakamura R, Matsumoto Y, Nakao K, Nakamura K, Sato A, Copeland NG, Gilbert DJ, Jenkins NA, Scully S, Lacey DL, Katsuki M, Asashima M, Yokota T (2001) Murine homolog of SALL1 is essential for ureteric bud invasion in kidney development. Development 128:3105–3115PubMedGoogle Scholar
  78. 78.
    Poladia DP, Kish K, Kutay B, Hains D, Kegg H, Zhao H, Bates CM (2006) Role of fibroblast growth factor receptors 1 and 2 in the metanephric mesenchyme. Dev Biol 291:325–339PubMedCrossRefGoogle Scholar
  79. 79.
    Liu J, Zhang L, Wang D, Shen H, Jiang M, Mei P, Hayden PS, Sedor JR, Hu H (2003) Congenital diaphragmatic hernia, kidney agenesis and cardiac defects associated with Slit3-deficiency in mice. Mech Dev 120:1059–1070PubMedCrossRefGoogle Scholar
  80. 80.
    Schnabel CA, Godin RE, Cleary ML (2003) Pbx1 regulates nephrogenesis and ureteric branching in the developing kidney. Dev Biol 254:262–276PubMedCrossRefGoogle Scholar
  81. 81.
    Perantoni AO, Timofeeva O, Naillat F, Richman C, Pajni-Underwood S, Wilson C, Vainio S, Dove LF, Lewandoski M (2005) Inactivation of FGF8 in early mesoderm reveals an essential role in kidney development. Development 132:3859–3871PubMedCrossRefGoogle Scholar
  82. 82.
    Mendelsohn C, Lohnes D, Decimo D, Lufkin T, LeMeur M, Chambon P, Mark M (1994) Function of the retinoic acid receptors (RARs) during development (II). Multiple abnormalities at various stages of organogenesis in RAR double mutants. Development 120:2749–2771PubMedGoogle Scholar
  83. 83.
    Kobayashi A, Kwan KM, Carroll TJ, McMahon AP, Mendelsohn CL, Behringer RR (2005) Distinct and sequential tissue-specific activities of the LIM-class homeobox gene Lim1 for tubular morphogenesis during kidney development. Development 132:2809–2823PubMedCrossRefGoogle Scholar

Copyright information

© IPNA 2007

Authors and Affiliations

  • Simone Sanna-Cherchi
    • 1
    • 2
  • Gianluca Caridi
    • 3
  • Patricia L. Weng
    • 1
    • 4
  • Francesco Scolari
    • 5
  • Francesco Perfumo
    • 6
  • Ali G. Gharavi
    • 1
  • Gian Marco Ghiggeri
    • 3
  1. 1.Department of Medicine, Division of NephrologyColumbia University College of Physicians and SurgeonsNew YorkUSA
  2. 2.Department of Clinical Medicine, Nephrology and Health ScienceUniversity of ParmaParmaItaly
  3. 3.Laboratory on Pathophysiology of UremiaIstituto G. GasliniGenoaItaly
  4. 4.Department of Pediatrics, Division of NephrologyMount Sinai School of MedicineNew YorkUSA
  5. 5.Division and Chair of NephrologySpedali Civili, University of BresciaBresciaItaly
  6. 6.Division of NephrologyIstituto G. GasliniGenoaItaly

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