def reDogetBlastScoreRatios(genefile, basepath, alleleI, allelescores2,
newGene_Blast_DB_name, alleleList2, picklepath,
verbose, blastPath, listAllelesNames):
if verbose:
def verboseprint(*args):
for arg in args:
print(arg),
print
else:
verboseprint = lambda *a: None # do-nothing function
#gene_fp = HTSeq.FastaReader(genefile)
alleleProt = ''
proteinfastaPath = genefile
verboseprint("Starting Blast of new alleles to calculate BSR at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
blast_out_file2 = os.path.join(basepath, 'blastdbs/temp.xml')
cline = NcbiblastpCommandline(cmd=blastPath,
query=proteinfastaPath,
db=newGene_Blast_DB_name,
evalue=0.001,
out=blast_out_file2,
outfmt=5,
num_threads=1)
allelescore = 0
blast_records = CommonFastaFunctions.runBlastParser(cline, blast_out_file2)
verboseprint("Blasted alleles at : " + time.strftime("%H:%M:%S-%d/%m/%Y"))
found = False
matchscore = 0
for blast_record in blast_records:
for alignment in blast_record.alignments:
for match in alignment.hsps:
matchscore = int(match.score)
allelescores2[alleleI] = matchscore
with open(picklepath, 'wb') as f:
pickle.dump(allelescores2, f)
return allelescores2, alleleList2, listAllelesNames
def main(input_file, temppath, blastPath, verbose, bsrTresh):
#~ try:
#~ input_file = sys.argv[1]
#~ temppath = sys.argv[2]
#~ blastPath = sys.argv[3]
#~ verbose = sys.argv[4]
#~ bsrTresh = sys.argv[5]
if verbose == 'True':
verbose = True
else:
verbose = False
#~ except IndexError:
#~ print ("Error starting the callAlleleles_protein3 script. usage: list_pickle_obj")
bsrTresh = float(bsrTresh)
argumentList = []
with open(input_file, 'rb') as f:
argumentList = pickle.load(f)
if verbose:
def verboseprint(*args):
for arg in args:
print(arg),
print
else:
verboseprint = lambda *a: None
geneFile = argumentList[0]
verboseprint("Using gene: " + str(geneFile))
shortgeneFile = os.path.join(os.path.dirname(argumentList[0]), "short",
os.path.basename(argumentList[0]))
shortgeneFile = shortgeneFile.replace(".fasta", "_short.fasta")
genomesList = argumentList[1]
genesList = argumentList[2]
newListgenes = []
with open(genesList, 'r') as gene_fp:
for gene in gene_fp:
gene = gene.rstrip('\n')
gene = gene.rstrip('\r')
newListgenes.append(gene)
statusbar = float(newListgenes.index(str(geneFile))) / len(newListgenes)
locusnumber = (newListgenes.index(str(geneFile)))
totalocusnumber = len(newListgenes)
basepath = os.path.join(temppath, os.path.splitext(geneFile)[0])
print("\rProcessing " + os.path.basename(geneFile) + ". Start " +
time.strftime("%H:%M:%S-%d/%m/%Y") + " Locus " + str(locusnumber) +
" of " + str(totalocusnumber) + ". Done " +
str(int(statusbar * 100)) + "%.",
end="")
if not os.path.exists(basepath):
os.makedirs(basepath)
#gene_fp = HTSeq.FastaReader(geneFile)
fullAlleleList = []
fullAlleleNameList = []
alleleI = 0
# get full list of alleles from main gene file and last allele number id
for allele in SeqIO.parse(geneFile, "fasta", generic_dna):
aux = allele.id.split("_")
if len(aux) < 2:
alleleI = int(aux[0])
else:
alleleI = int(aux[-1])
fullAlleleList.append(str(allele.seq.upper()))
fullAlleleNameList.append(allele.id)
resultsList = []
i = 0
perfectMatchIdAllele = []
perfectMatchIdAllele2 = []
allelescores = []
listShortAllelesNames = []
verboseprint("Getting BSR at : " + time.strftime("%H:%M:%S-%d/%m/%Y"))
geneScorePickle = os.path.abspath(shortgeneFile) + '_bsr.txt'
# check if bsr as arealdy been calculated and recalculate it if necessary
if os.path.isfile(geneScorePickle):
allelescores, alleleList, listShortAllelesNames = getBlastScoreRatios(
shortgeneFile, basepath, False, verbose, blastPath)
else:
allelescores, alleleList, listShortAllelesNames = getBlastScoreRatios(
shortgeneFile, basepath, True, verbose, blastPath)
verboseprint("Finished BSR at : " + time.strftime("%H:%M:%S-%d/%m/%Y"))
verboseprint("starting allele call blast at: " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
for genomeFile in genomesList:
verboseprint(genomeFile)
bestmatch = [
0, 0, False, '', 0
] # score, score ratio, perfectmatch, key name of the DNA sequence string, allele ID
currentGenomeDict = {}
currentCDSDict = {}
# load the CDS from the genome to a dictionary
filepath = os.path.join(
temppath,
str(os.path.basename(genomeFile)) + "_ORF_Protein.txt")
with open(filepath, 'rb') as f:
currentCDSDict = pickle.load(f)
try:
intersection = set(fullAlleleList).intersection(
currentCDSDict.values())
intersection = list(intersection)
if len(intersection) > 1:
perfectMatchIdAllele.append('NIPHEM')
perfectMatchIdAllele2.append('NIPHEM')
verboseprint(
os.path.basename(genomeFile) + " has " +
str(len(intersection)) + " multiple exact match : " +
os.path.basename(geneFile) +
" MULTIPLE ALLELES as EXACT MATCH")
raise ValueError("MULTIPLE ALLELES as EXACT MATCH")
elif len(intersection) == 1:
alleleStr = intersection[0]
# it doenst return both keys with equal values
# ~ elem=currentCDSDict.keys()[currentCDSDict.values().index(alleleStr)]
elem = [
key for key, value in currentCDSDict.items()
if value == alleleStr
]
if len(elem) > 1:
perfectMatchIdAllele.append('NIPHEM')
perfectMatchIdAllele2.append('NIPHEM')
verboseprint(
os.path.basename(genomeFile) + " has " +
str(len(intersection)) + " multiple exact match : " +
os.path.basename(geneFile) +
" MULTIPLE ALLELES as EXACT MATCH")
raise ValueError("MULTIPLE ALLELES as EXACT MATCH")
contigname = elem[0].split("&")
matchLocation = contigname[2]
# starting CDS base need to be +1
matchLocation = matchLocation.split("-")
matchLocation = [
int(matchLocation[0]) + 1,
int(matchLocation[1])
]
contigname = (contigname[0]).replace(">", "")
alleleName = ''
alleleMatchid = 0
alleleName = fullAlleleNameList[fullAlleleList.index(
alleleStr)]
alleleMatchid = int((alleleName.split("_"))[-1])
perfectMatchIdAllele.append(str(alleleMatchid))
if matchLocation[0] > matchLocation[1]:
perfectMatchIdAllele2.append(
str(contigname) + "&" + str(matchLocation[0]) + "-" +
str(matchLocation[1]) + "&" + "-")
else:
perfectMatchIdAllele2.append(
str(contigname) + "&" + str(matchLocation[0]) + "-" +
str(matchLocation[1]) + "&" + "+")
# check if atributed allele is contained or contains
try:
containedInfo = (alleleName.split("_"))[1]
except:
containedInfo = ''
if containedInfo == "CD":
resultsList.append([(os.path.basename(genomeFile)),
str(alleleMatchid),
containedInfo.rstrip()])
elif containedInfo == "CS":
resultsList.append([(os.path.basename(genomeFile)),
str(alleleMatchid),
containedInfo.rstrip()])
else:
pass
raise ValueError("EQUAL")
except Exception as e:
# ~ exc_type, exc_obj, exc_tb = sys.exc_info()
# ~ fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
# ~ print(exc_tb.tb_lineno)
# ~ print e
continue
else:
verboseprint("Blasting alleles on genome at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
blast_out_file = os.path.join(
basepath,
"blastdbs/" + os.path.basename(geneFile) + '_List.xml')
Gene_Blast_DB_name = os.path.join(
temppath,
str(os.path.basename(genomeFile)) + "/" +
str(os.path.basename(genomeFile)) + "_db")
proteinfastaPath = os.path.join(
basepath,
str(os.path.basename(shortgeneFile) + '_protein.fasta'))
# blast the genome CDS against the translated locus
# cline = NcbiblastpCommandline(query=proteinfastaPath, db=Gene_Blast_DB_name, evalue=0.001, out=blast_out_file, outfmt=5,max_target_seqs=10,max_hsps_per_subject=10)
# 2.2.28 up
cline = NcbiblastpCommandline(cmd=blastPath,
query=proteinfastaPath,
db=Gene_Blast_DB_name,
evalue=0.001,
out=blast_out_file,
outfmt=5,
max_target_seqs=10,
max_hsps=10,
num_threads=1)
blast_records = CommonFastaFunctions.runBlastParser(
cline, blast_out_file)
verboseprint("Blasted alleles on genome at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
alleleSizes = []
for allele in fullAlleleList:
alleleSizes.append(len(allele))
biggestSizeAllele = max(alleleSizes)
# get mode allele size
moda = max(set(alleleSizes), key=alleleSizes.count)
contador = Counter(alleleSizes).most_common()
# if most common allele size appears 1 time, get first allele size
if (contador[0])[1] == 1:
moda = alleleSizes[0]
try:
# iterate through the blast results
for blast_record in blast_records:
locationcontigs = []
for alignment in blast_record.alignments:
# select the best match
for match in alignment.hsps:
# query id comes with query_id, not name of the allele
alleleMatchid = int(
(blast_record.query_id.split("_"))[-1])
# ~ scoreRatio=float(match.score)/float(allelescores[int(alleleMatchid)-1])
# query_id starts with 1
alleleMatchid2 = ((
listShortAllelesNames[alleleMatchid -
1]).split("_"))[-1]
scoreRatio = float(match.score) / float(
allelescores[int(alleleMatchid2)])
cdsStrName = (alignment.title.split(" "))[1]
#DNAstr = str(currentCDSDict[">" + cdsStrName])
AlleleDNAstr = alleleList[int(alleleMatchid) - 1]
if scoreRatio >= bsrTresh:
locationcontigs.append(cdsStrName)
# select the best match from BLAST results
if scoreRatio == 1 and match.score > bestmatch[0]:
bestmatch = [
match.score, scoreRatio, False, cdsStrName,
int(alleleMatchid), match,
len(AlleleDNAstr)
]
elif (match.score > bestmatch[0]
and scoreRatio >= bsrTresh
and scoreRatio > bestmatch[1]
and bestmatch[2] is False):
bestmatch = [
match.score, scoreRatio, False, cdsStrName,
int(alleleMatchid), match,
len(AlleleDNAstr)
]
verboseprint("Classifying the match at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
# if no best match was found it's a Locus Not Found
# check for ambiguious bases
if not bestmatch[0] == 0:
alleleStr = currentCDSDict[">" + bestmatch[3]]
listFoundAmbiguities = []
listambiguousBases = [
'K', 'M', 'R', 'Y', 'S', 'W', 'B', 'V', 'H', 'D', 'X',
'N', '-', '.'
]
listFoundAmbiguities = [
e for e in listambiguousBases if e in alleleStr
]
if bestmatch[0] == 0 or len(listFoundAmbiguities) > 0:
###################
# LOCUS NOT FOUND #
###################
if bestmatch[0] == 0:
perfectMatchIdAllele.append('LNF')
perfectMatchIdAllele2.append('LNF')
verboseprint("Locus not found, no matches \n")
else:
perfectMatchIdAllele.append('LNF')
perfectMatchIdAllele2.append('LNF')
verboseprint("Locus has strange base \n")
# if more than one BSR >0.6 in two different CDSs it's a Non Paralog Locus
elif len(list(set(locationcontigs))) > 1:
verboseprint("NIPH", "")
perfectMatchIdAllele.append('NIPH')
perfectMatchIdAllele2.append('NIPH')
for elem in locationcontigs:
verboseprint(elem)
# if match with BSR >0.6 and not equal DNA sequences
else:
# load the contig info of the genome to a dictionary
#g_fp = HTSeq.FastaReader(genomeFile)
for contig in SeqIO.parse(genomeFile, "fasta",
generic_dna):
currentGenomeDict[contig.id] = len(str(contig.seq))
match = bestmatch[5]
geneLen = bestmatch[6]
alleleStr = currentCDSDict[">" + bestmatch[3]]
contigname = bestmatch[3]
contigname = contigname.split("&")
matchLocation = contigname[2]
matchLocation = matchLocation.split("-")
matchLocation = [
int(matchLocation[0]) + 1, matchLocation[1]
]
contigname = contigname[0]
bestMatchContigLen = currentGenomeDict[contigname]
protSeq, alleleStr = translateSeq(alleleStr)
# get extra space to the right and left between the allele and match and check if it's still inside the contig
rightmatchAllele = geneLen - (
(int(match.query_end) + 1) * 3)
leftmatchAllele = ((int(match.query_start) - 1) * 3)
Reversed = False
# ~ if Reversed swap left and right contig extra
if int(matchLocation[1]) < int(matchLocation[0]):
rightmatchContig = bestMatchContigLen - int(
matchLocation[0])
leftmatchContig = int(matchLocation[1])
aux = rightmatchAllele
rightmatchAllele = leftmatchAllele
leftmatchAllele = aux
Reversed = True
else:
rightmatchContig = bestMatchContigLen - int(
matchLocation[1])
leftmatchContig = int(matchLocation[0])
###########################
# LOCUS ON THE CONTIG TIP #
###########################
# check if contig is smaller than the matched allele
if leftmatchContig < leftmatchAllele and rightmatchContig < rightmatchAllele:
# ~ resultsList.append('PLOTSC:-1')
perfectMatchIdAllele.append('LOTSC')
perfectMatchIdAllele2.append('LOTSC')
# ~ if not Reversed:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"+")
# ~ else:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"-")
verboseprint(match, contigname, geneFile,
leftmatchAllele, rightmatchAllele,
"Locus is bigger than the contig \n")
elif leftmatchContig < leftmatchAllele:
# ~ resultsList.append('PLOT3:-1')
perfectMatchIdAllele.append('PLOT3')
perfectMatchIdAllele2.append('PLOT3')
# ~ if not Reversed:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"+")
# ~ else:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"-")
verboseprint(
match, contigname, geneFile, leftmatchAllele,
rightmatchAllele,
"Locus is on the 3' tip of the contig \n")
elif rightmatchContig < rightmatchAllele:
# ~ resultsList.append('PLOT5:-1')
perfectMatchIdAllele.append('PLOT5')
perfectMatchIdAllele2.append('PLOT5')
# ~ if not Reversed:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"+")
# ~ else:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"-")
verboseprint(
match, contigname, geneFile, leftmatchAllele,
rightmatchAllele,
"Locus is on the 5' tip of the contig \n")
elif float(len(alleleStr)) > moda + (moda * 0.2):
verboseprint("Locus is larger than mode", moda,
alleleStr)
# ~ resultsList.append('ALM')
perfectMatchIdAllele.append('ALM')
perfectMatchIdAllele2.append('ALM')
# ~ if not Reversed:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"+")
# ~ else:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"-")
elif float(len(alleleStr)) < moda - (moda * 0.2):
verboseprint("Locus is smaller than mode", moda,
alleleStr)
# ~ resultsList.append('ASM')
perfectMatchIdAllele.append('ASM')
perfectMatchIdAllele2.append('ASM')
# ~ if not Reversed:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"+")
# ~ else:
# ~ perfectMatchIdAllele2.append(str(contigname)+"&"+str(matchLocation[0])+"-"+str(matchLocation[1])+"&"+"-")
else:
#######################
# ADD INFERRED ALLELE # # a new allele
#######################
wasContained = False
tagAuxC = 'S'
for alleleaux in fullAlleleList:
if alleleStr in alleleaux:
alleleName = fullAlleleNameList[
fullAlleleList.index(alleleaux)]
alleleMatchid = (alleleName.split("_"))[-1]
tagAuxC = 'CD' + alleleMatchid.rstrip()
resultsList.append([
(os.path.basename(genomeFile)),
str(alleleI + 1), tagAuxC
])
break
elif alleleaux in alleleStr:
alleleName = fullAlleleNameList[
fullAlleleList.index(alleleaux)]
alleleMatchid = (alleleName.split("_"))[-1]
tagAuxC = 'CS' + alleleMatchid.rstrip()
resultsList.append([
(os.path.basename(genomeFile)),
str(alleleI + 1), tagAuxC
])
break
if not wasContained:
tagAux = 'INF'
perfectMatchIdAllele.append(tagAux + "-" +
str(alleleI + 1))
if not Reversed:
perfectMatchIdAllele2.append(
str(contigname) + "&" +
str(matchLocation[0]) + "-" +
str(matchLocation[1]) + "&" + "+")
else:
perfectMatchIdAllele2.append(
str(contigname) + "&" +
str(matchLocation[0]) + "-" +
str(matchLocation[1]) + "&" + "-")
verboseprint("New allele! Adding allele " +
tagAux + str(alleleI + 1) +
" to the database\n")
# --- add the new allele to the gene fasta --- #
alleleI += 1
appendAllele = '>' + str((
((os.path.basename(geneFile)).split("."))[0]
).replace("_", "-")) + "_" + tagAuxC + "_" + (str(
os.path.basename(genomeFile))).replace(
"_", "-") + "_" + str(alleleI) + '\n'
fG = open(geneFile, 'a')
fG.write(appendAllele)
fG.write(alleleStr + '\n')
fG.close()
fullAlleleList.append(alleleStr)
fullAlleleNameList.append(appendAllele)
if bestmatch[1] >= bsrTresh and float(
bestmatch[1]) < bsrTresh + 0.1:
fG = open(shortgeneFile, 'a')
fG.write(appendAllele)
fG.write(alleleStr + '\n')
fG.close()
geneTransalatedPath2 = os.path.join(
basepath,
str(
os.path.basename(shortgeneFile) +
'_protein2.fasta'))
geneTransalatedPath = os.path.join(
basepath,
str(
os.path.basename(shortgeneFile) +
'_protein.fasta'))
with open(geneTransalatedPath2, 'w') as fG:
fG.write('>' + str(alleleI) + '\n' +
str(protSeq) + '\n')
with open(geneTransalatedPath, 'a') as fG:
fG.write('>' + str(alleleI) + '\n' +
str(protSeq) + '\n')
match = bestmatch[5]
# --- remake blast DB and recalculate the BSR for the locus --- #
alleleList.append(alleleStr)
listShortAllelesNames.append(appendAllele)
genefile2 = geneTransalatedPath2
Gene_Blast_DB_name2 = CommonFastaFunctions.Create_Blastdb(
genefile2, 1, True)
verboseprint(
"Re-calculating BSR at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
allelescores, alleleList, listShortAllelesNames = reDogetBlastScoreRatios(
genefile2, basepath, alleleI, allelescores,
Gene_Blast_DB_name2, alleleList,
geneScorePickle, verbose, blastPath,
listShortAllelesNames)
verboseprint(
"Done Re-calculating BSR at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
except Exception as e:
print("some error occurred")
print(e)
print('Error on line {}'.format(sys.exc_info()[-1].tb_lineno))
perfectMatchIdAllele2.append("ERROR")
perfectMatchIdAllele.append("ERROR")
final = (resultsList, perfectMatchIdAllele)
verboseprint("Finished allele calling at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
filepath = os.path.join(temppath,
os.path.basename(geneFile) + "_result.txt")
filepath2 = os.path.join(temppath,
os.path.basename(geneFile) + "_result2.txt")
with open(filepath, 'wb') as f:
pickle.dump(final, f)
with open(filepath2, 'wb') as f:
pickle.dump(perfectMatchIdAllele2, f)
shutil.rmtree(basepath)
return True
def getBlastScoreRatios(genefile, basepath, doAll, verbose, blastPath):
if verbose:
def verboseprint(*args):
for arg in args:
print(arg),
print
else:
verboseprint = lambda *a: None # do-nothing function
#gene_fp = HTSeq.FastaReader(genefile)
allelescores = []
alleleProt = ''
alleleAllProt = ''
alleleList = []
alleleI = 0
alleleIlist = []
listAllelesNames = []
# calculate bsr for each allele
for allele in SeqIO.parse(genefile, "fasta", generic_dna):
# usually first allele name is just >1 and after that it has >gene_id_genome
aux = allele.id.split("_")
if len(aux) < 2:
alleleI = int(aux[0])
else:
alleleI = int(aux[-1])
# try to translate the allele
alleleIlist.append(alleleI)
alleleList.append(str(allele.seq.upper()))
listAllelesNames.append(allele.id)
translatedSequence, x = translateSeq(str(allele.seq.upper()))
if translatedSequence == '':
print("cannot translate allele on bsr calculation")
pass
# calculate BSR for the allele
else:
alleleProt = ">" + str(alleleI) + "\n" + str(translatedSequence +
"\n")
alleleAllProt += ">" + str(alleleI) + "\n" + str(
translatedSequence + "\n")
proteinfastaPath = os.path.join(
basepath, str(os.path.basename(genefile) + '_protein2.fasta'))
# new db for each allele to blast it against himself
with open(proteinfastaPath, "w") as f:
f.write(alleleProt)
Gene_Blast_DB_name = CommonFastaFunctions.Create_Blastdb(
proteinfastaPath, 1, True)
# if bsr hasn't been calculated, do the BLAST
if doAll:
blast_out_file = os.path.join(basepath, 'blastdbs/temp.xml')
verboseprint("Starting Blast alleles at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
# --- get BLAST score ratio --- #
cline = NcbiblastpCommandline(cmd=blastPath,
query=proteinfastaPath,
db=Gene_Blast_DB_name,
evalue=0.001,
out=blast_out_file,
outfmt=5,
num_threads=1)
allelescore = 0
blast_records = CommonFastaFunctions.runBlastParser(
cline, blast_out_file)
verboseprint("Blasted alleles at : " +
time.strftime("%H:%M:%S-%d/%m/%Y"))
for blast_record in blast_records:
for alignment in blast_record.alignments:
for match in alignment.hsps:
allelescores.append(int(match.score))
geneScorePickle = os.path.abspath(genefile) + '_bsr.txt'
verboseprint("________")
# ~ var=[alleleI,allelescores]
var = dict(zip(alleleIlist, allelescores))
with open(geneScorePickle, 'wb') as f:
pickle.dump(var, f)
# bsr had already been calculated, load it to memory
else:
geneScorePickle = os.path.abspath(genefile) + '_bsr.txt'
with open(geneScorePickle, 'rb') as f:
var = pickle.load(f)
# ~ allelescores=var[1]
proteinfastaPath = os.path.join(
basepath, str(os.path.basename(genefile) + '_protein.fasta'))
with open(proteinfastaPath, "w") as f:
f.write(alleleAllProt)
# returning all allele BSR scores and list of alleles for this gene
return var, alleleList, listAllelesNames